diff --git a/.github/sync-repo-settings.yaml b/.github/sync-repo-settings.yaml index 2263b6667..bde32de38 100644 --- a/.github/sync-repo-settings.yaml +++ b/.github/sync-repo-settings.yaml @@ -29,15 +29,8 @@ branchProtectionRules: requiresStrictStatusChecks: true requiredStatusCheckContexts: - "cla/google" - - "retrieval_service" - "llm_demo" - - "retrieval-service-app-pr (retrieval-app-testing)" - - "retrieval-service-postgres-pr (retrieval-app-testing)" - - "retrieval-service-alloydb-pr (retrieval-app-testing)" - - "retrieval-service-cloudsql-pg-pr (retrieval-app-testing)" - - "llm-demo-langchain-tools-pr (retrieval-app-testing)" - "llm-demo-langgraph-pr (retrieval-app-testing)" - - "llm-demo-vertexai-fc-pr (retrieval-app-testing)" # Set team access permissionRules: - team: senseai-eco diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index c5030f74e..8de62e866 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -30,12 +30,8 @@ permissions: read-all jobs: integration: - name: ${{ matrix.dir }} + name: Cymbal Air runs-on: ubuntu-latest - strategy: - matrix: - dir: [retrieval_service, llm_demo] - fail-fast: false permissions: contents: read id-token: write @@ -51,11 +47,9 @@ jobs: python-version: "3.11" - name: Install requirements - working-directory: ${{ matrix.dir }} run: pip install -r requirements.txt -r requirements-test.txt - name: Run lints - working-directory: ${{ matrix.dir }} run: | black --check . isort --check . diff --git a/.github/workflows/lint_fallback.yml b/.github/workflows/lint_fallback.yml index faf534b58..f61c61ca5 100644 --- a/.github/workflows/lint_fallback.yml +++ b/.github/workflows/lint_fallback.yml @@ -21,11 +21,8 @@ on: jobs: integration: - name: ${{ matrix.dir }} + name: Cymbal Air runs-on: ubuntu-latest - strategy: - matrix: - dir: [retrieval_service, llm_demo] permissions: contents: none diff --git a/DEVELOPER.md b/DEVELOPER.md index 357f8830e..845689cd6 100644 --- a/DEVELOPER.md +++ b/DEVELOPER.md @@ -2,67 +2,68 @@ ## Before you begin -1. Make sure you've [setup and initialized your - Database](./README.md#setting-up-your-database). +1. Make sure you've [setup + Toolbox](README.md#launch-the-toolbox-server-choose-one). 1. Install Python 3.11+ 1. Install dependencies. We recommend using a virtualenv: ```bash - pip install -r retrieval_service/requirements.txt -r llm_demo/requirements.txt + pip install -r requirements.txt ``` 1. Install test dependencies: ```bash - pip install -r retrieval_service/requirements-test.txt -r llm_demo/requirements-test.txt + pip install -r requirements-test.txt ``` -## Run the app locally +## Run the App -### Running the retrieval service +### Setup Database -1. Change into the service directory: +To setup the datasource to run with Toolbox, follow [these +steps](README.md#one-time-database--tool-configuration). - ```bash - cd retrieval_service - ``` - -1. Open a local connection to your database by starting the [AlloyDB Auth Proxy][alloydb-proxy] or [Cloud SQL Auth Proxy][cloudsql-proxy] or a [SSH tunnel][tunnel] to your AlloyDB instance (for non-cloud postgres such as AlloyDB Omni). +### Setup Toolbox -1. You should already have a [`config.yml` created with your database config][config]. Continue to use `host: 127.0.0.1` and `port: 5432`, unless you instruct the proxy to listen or the SSH tunnel to forward to a different address. +To setup Toolbox (locally or on Cloud Run), follow [these +steps](README.md#launch-the-toolbox-server-choose-one). +### Run Agent App -1. To run the app using uvicorn, execute the following: - - ```bash - python run_app.py - ``` +1. Configure the Toolbox URL -### Running the frontend + You need to set the `TOOLBOX_URL` environment variable to point to your + running Toolbox server. Choose the option below that matches your setup. -1. Change into the demo directory: + #### **Option A:** If you are running Toolbox locally + Set the `TOOLBOX_URL` environment variable to your local server, which is + typically running on port `5000`. ```bash - cd llm_demo + export TOOLBOX_URL="http://localhost:5000" ``` -1. To use a live retrieval service on Cloud Run: - - 1. Set Google user credentials: + #### **Option B:** If you are running Toolbox on Cloud Run + 1. First, authenticate your gcloud CLI with your user credentials: ```bash gcloud auth login ``` - 1. Set `BASE_URL` environment variable: + 1. Next, set the `TOOLBOX_URL` environment variable by fetching your live + service's URL: ```bash - export BASE_URL=$(gcloud run services describe retrieval-service --format 'value(status.url)') + export TOOLBOX_URL=$(gcloud run services describe toolbox --format 'value(status.url)') ``` - 1. Allow your account to invoke the Cloud Run service by granting the [role Cloud Run invoker][invoker] + 1. Allow your account to invoke the Cloud Run service by granting the [role + Cloud Run invoker][invoker] + + 1. [Optional] Turn on debugging by setting the `DEBUG` environment variable: @@ -70,51 +71,36 @@ export DEBUG=True ``` -1. Set orchestration type environment variable: - - | orchestration-type | Description | - |-------------------------------|---------------------------------------------| - | langchain-tools | LangChain tools orchestrator. | - | vertexai-function-calling | VertexAI Function Calling orchestrator. | - - ```bash - export ORCHESTRATION_TYPE= - ``` - 1. To run the app using uvicorn, execute the following: ```bash python run_app.py ``` - Note: for hot reloading of the app use: `python run_app.py --reload` +1. View the app in your browser at http://localhost:8081. -1. View app at `http://localhost:8081/` +> [!TIP] +> For hot-reloading during development, use the `--reload` flag: +> ```bash +> python run_app.py --reload +> ``` ## Testing ### Run tests locally -1. Change into the `retrieval_service` directory -1. Open a local connection to your database by starting the [AlloyDB Auth Proxy][alloydb-proxy] or [Cloud SQL Auth Proxy][cloudsql-proxy] or a [SSH tunnel][tunnel] to your AlloyDB instance (for non-cloud postgres such as AlloyDB Omni). -1. Set environment variables (different provider requires different environment variables): +The unit tests for this application mock the API calls to the MCP Toolbox, so +you do not need a live database or a running Toolbox instance to run them. - | Datastore | - |----------------------------------------| - | [AlloyDB](./docs/datastore/alloydb.md#test-environment-variables) | - | [Cloud SQL for Postgres](./docs/datastore/cloudsql_postgres.md#test-environment-variables) | - | [Cloud SQL for MySQL](./docs/datastore/cloudsql_mysql.md#test-environment-variables) | - | [Non-cloud Postgres (e.g. AlloyDB Omni)](./docs/datastore/postgres.md#test-environment-variables) | - -1. Run pytest to automatically run all tests: - - ```bash - pytest - ``` +```bash +pytest +``` ### CI Platform Setup -Cloud Build is used to run tests against Google Cloud resources in test project: extension-demo-testing. +Cloud Build is used to run tests against Google Cloud resources in test project: +`extension-demo-testing`. + Each test has a corresponding Cloud Build trigger, see [all triggers][triggers]. #### Trigger Setup @@ -122,8 +108,8 @@ Create a Cloud Build trigger via the UI or `gcloud` with the following specs: * Event: Pull request * Region: - * us-central1 - for AlloyDB to connect to private pool in VPC - * global - for default worker pools + * `us-central1` - for AlloyDB to connect to private pool in VPC + * `global` - for default worker pools * Source: * Generation: 1st gen * Repo: GoogleCloudPlatform/genai-databases-retrieval-app (GitHub App) @@ -134,99 +120,55 @@ Create a Cloud Build trigger via the UI or `gcloud` with the following specs: * Location: Repository (add path to file) * Substitution variables: * Add `_DATABASE_HOST` for non-cloud postgres -* Service account: set for demo service to enable ID token creation to use to authenticated services +* Service account: set for demo service to enable ID token creation to use to + authenticated services #### Project Setup 1. Follow instructions to setup the test project: - * [Set up and configure database](./README.md#setting-up-your-database) - * [Instructions for deploying the retrieval service](./docs/deploy_retrieval_service.md) -1. Setup Cloud Build triggers (above) + * [Set up and configure database](README.md#one-time-database--tool-configuration) + * [Instructions for Toolbox setup](README.md#launch-the-toolbox-server-choose-one) +1. Setup Cloud Build triggers ([above](#trigger-setup)) -##### Setup for retrieval service +##### Setup for Toolbox 1. Create a Cloud Build private pool 1. Enable Secret Manager API -1. Create secret, `db_user` and `db_pass`, with your database user and database password defined here: - - | provider | - |----------------------------------------| - | [AlloyDB](./docs/datastore/alloydb.md#create-a-alloydb-cluster) | - | [Cloud SQL for Postgres](./docs/datastore/cloudsql_postgres.md#create-a-cloud-sql-for-postgresql-instance) | - | [Cloud SQL for MySQL](./docs/datastore/cloudsql_mysql.md#create-a-cloud-sql-for-mysql-instance) | - | [Non-cloud Postgres (e.g. AlloyDB Omni)](./docs/datastore/postgres.md#create-a-alloydb-cluster) | +1. Create secret, `db_user` and `db_pass`, with your database user and database password defined [here](https://googleapis.github.io/genai-toolbox/resources/sources/). 1. Allow Cloud Build to access secret -1. Add role Vertex AI User (roles/aiplatform.user) to Cloud Build Service account. Needed to run database init script. +1. Add role Vertex AI User (`roles/aiplatform.user`) to Cloud Build Service + account. Needed to run database init script. -##### Setup for demo service tests +##### Setup for Agent App -1. Add roles Cloud Run Admin, Service Account User, Log Writer, and Artifact Registry Admin to the demo service's Cloud Build trigger service account. +Add roles `Cloud Run Admin`, `Service Account User`, `Log Writer`, and `Artifact + Registry Admin` to the demo service's Cloud Build trigger service account. -#### Run tests with Cloud Build - -* Run Demo Service integration test: - - ```bash - gcloud builds submit --config llm_demo/int.tests.cloudbuild.yaml - ``` - -* Run retrieval service unit tests: - - | provider | - |----------------------------------------| - | [AlloyDB](./docs/datastore/alloydb.md#run-tests) | - | [Cloud SQL for Postgres](./docs/datastore/cloudsql_postgres.md#run-tests) | - | [Cloud SQL for MySQL](./docs/datastore/cloudsql_mysql.md#run-tests) | - | [Non-cloud Postgres (e.g. AlloyDB Omni)](./docs/datastore/postgres.md#run-tests) | - - Note: Make sure to setup secrets describe in [Setup for retrieval service](#setup-for-retrieval-service) - -#### Trigger - -To run Cloud Build tests on GitHub from external contributors, ie RenovateBot, comment: `/gcbrun`. - -#### Code Coverage -Please make sure your code is fully tested. The Cloud Build integration tests are run with the `pytest-cov` code coverage plugin. They fail for PRs with a code coverage less than the threshold specified in `retrieval_service/coverage/.-coveragerc`. If your file is inside the main module and should be ignored by code coverage check, add it to the `omit` section of `retrieval_service/coverage/.-coveragerc`. - -Check for code coverage report any Cloud Build integration test log. -Here is a breakdown of the report: -- `Stmts`: lines of executable code (statements). -- `Miss`: number of lines not covered by tests. -- `Branch`: branches of executable code (e.g an if-else clause may count as 1 statement but 2 branches; test for both conditions to have both branches covered). -- `BrPart`: number of branches not covered by tests. -- `Cover`: average coverage of files. -- `Missing`: lines that are not covered by tests. - -## LLM Evaluation - -[Optional] Export detailed metric table with row-specific scores by setting the `EXPORT_CSV` envrionment variable: +#### Run Integration Tests ```bash -export EXPORT_CSV=True +gcloud builds submit --config integration.cloudbuild.yaml ``` -Set `CLIENT_ID` to run evaluation that require authentication: +> [!NOTE] +> Make sure to setup secrets described in [Setup for Toolbox](#setup-for-toolbox) -```bash -export CLIENT_ID= -``` +#### Trigger -To run LLM system evaluation, execute the following: +To run Cloud Build tests on GitHub from external contributors, ie RenovateBot, +comment: `/gcbrun`. -```bash -python llm_demo/run_evaluation.py -``` - -To view metrics, visit [GCP dashboard][vertex-ai-experiments]. +#### Code Coverage +Please make sure your code is fully tested. ## Versioning -This app will be released based on version number MAJOR.MINOR.PATCH: +This app will be released based on version number `MAJOR.MINOR.PATCH`: -- MAJOR: Breaking change is made, requiring user to redeploy all or some of the app. -- MINOR: Backward compatible feature change or addition that doesn't require redeploying. -- PATCH: Backward compatible bug fixes and minor updates +- `MAJOR`: Breaking change is made, requiring user to redeploy all or some of the app. +- `MINOR`: Backward compatible feature change or addition that doesn't require redeploying. +- `PATCH`: Backward compatible bug fixes and minor updates [alloydb-proxy]: https://cloud.google.com/alloydb/docs/auth-proxy/connect [cloudsql-proxy]: https://cloud.google.com/sql/docs/mysql/sql-proxy diff --git a/llm_demo/Dockerfile b/Dockerfile similarity index 100% rename from llm_demo/Dockerfile rename to Dockerfile diff --git a/README.md b/README.md index b81f53ccc..cc95ee8fb 100644 --- a/README.md +++ b/README.md @@ -1,168 +1,198 @@ -# GenAI Databases Retrieval App - -Note: This project is for demonstration only and is not an officially supported -Google product. -If you're a Googler using this demo, please fill up this [form](https://forms.gle/dJUdMEbUu7k3TmT4A). If you're interested in using our hosted version, please fill up this [form](https://forms.gle/3AknwhhWv2pWw46Q8). +# ![](static/logo-header.png) +> [!NOTE] +> This project is for demonstration only and is not an officially supported +> Google product. +> +> If you're a Googler using this demo, please fill up this +> [form](https://forms.gle/dJUdMEbUu7k3TmT4A). If you're interested in using our +> hosted version, please fill up this +> [form](https://forms.gle/3AknwhhWv2pWw46Q8). ## Introduction -This project demonstrates production-quality practices for using techniques like -[Retrieval Augmented Generation (RAG)][rag] and [ReACT][react] to extend your -Gen AI application with information from Cloud Databases. +This project provides a production-quality reference implementation for building +Agentic applications that use [Agents] and [Retrieval Augmented Generation +(RAG)][rag] to query and interact with data stored in Google Cloud Databases. -This demo showcases the Cymbal Air customer service assistant. Cymbal Air is a -fictional passenger airline. The assistant is an AI chatbot that helps -travellers manage flights and look up information about Cymbal Air's hub -at San Francisco International Airport (SFO). +This demonstration features Cymbal Air, a fictional airline. The application +showcases a customer service assistant that helps travelers manage flights and +find information about San Francisco International Airport (SFO), Cymbal Air's +hub. The agent can answer questions like: -It can help answer users' questions like: -* Are there any luxury shops? -* Where can I get coffee near gate A6? -* Where can I find a gift? -* What flights are headed to NYC tomorrow? +* *Are there any luxury shops in the terminal?* +* *Where can I get coffee near gate A6?* +* *I need to find a gift for my colleague.* +* *What flights are headed to NYC tomorrow?* [rag]: https://www.promptingguide.ai/techniques/rag -[react]: https://www.promptingguide.ai/techniques/react +[Agents]: https://www.promptingguide.ai/agents/introduction ## Table of Contents -- [Introduction](#introduction) -- [Table of Contents](#table-of-contents) - [Understanding the demo](#understanding-the-demo) - - [Understanding Retrieval Augmented Generation RAG](#understanding-retrieval-augmented-generation-rag) - - [Using ReACT + RAG together](#using-react--rag-together) + - [Retrieval Augmented Generation RAG](#retrieval-augmented-generation-rag) + - [Agent-based Orchestration](#agent-based-orchestration) - [Architecture](#architecture) -- [Deploying](#deploying) +- [Deployment](#deployment) - [Before you begin](#before-you-begin) - - [Setting up your Database](#setting-up-your-database) - - [Deploying the Retrieval Service](#deploying-the-retrieval-service) - - [Running the LLM-based Application](#running-the-llm-based-application) - - [Clean up Resources](#clean-up-resources) -- [Writing your own retrieval service](#writing-your-own-retrieval-service) + - [One-Time Database & Tool Configuration](#one-time-database--tool-configuration) + - [Launch the Toolbox Server Choose One](#launch-the-toolbox-server-choose-one) + - [Running the Agentic Application](#running-the-agentic-application) + - [Clean Up](#clean-up) +- [Customizing Your Tools](#customizing-your-tools) ## Understanding the demo -### Understanding Retrieval Augmented Generation (RAG) +### Retrieval Augmented Generation (RAG) One of the best tools for reducing hallucinations is to use Retrieval Augmented Generation (RAG). RAG is the concept of retrieving some data or information, -augmenting your prompt to the LLM, and allowing it to generate more accurate +augmenting your prompt to the agent, and allowing it to generate more accurate responses based on the data included in the prompt. This grounds the model’s response, making it less likely to hallucinate. This technique is also useful -for allowing the LLM to access data it didn’t have when it was trained. And +for allowing the agent to access data it didn’t have when it was trained. And unlike fine-tuning, the information retrieved for RAG does not alter the model or otherwise leave the context of the request - making it more suitable for use cases where information privacy and security are important. Cloud databases provide a managed solution for storing and accessing data in a -scalable and a reliable way. By connecting an LLM to a cloud database, +scalable and a reliable way. By connecting an agent to a cloud database, developers can give their applications access to a wider range of information and reduce the risk of hallucinations. -### Using ReACT + RAG together - -Another increasingly popular technique for LLMs is called ReACT Prompting. ReACT -(a combination of “Reason” and “Act”) is a technique for asking your LLM to -think through verbal reasoning. This technique establishes a framework for the -model (acting as an Agent) to “think aloud” using a specific template - things -like “Thoughts”, “Actions”, and “Observations”. +### Agent-based Orchestration -Many platforms support similar patterns to help extend your LLM’s capabilities – -Vertex AI has Extensions, LangChain has Tools, and ChatGPT has plugins. We can -leverage this pattern to help an LLM understand what information it can access -and decide when it needs to access it. +This application uses an Agent-based orchestration model. Instead of a static +chain of calls, the LLM acts as an intelligent Agent that decides which tools to +use and in what order. It is given a set of available tools, each with a +specific function (e.g., `find_flights`, `list_amenities`). Based on the user's +query, the agent reasons about the best tool to use to find the answer. This +"thought process" allows the agent to handle a wider variety of queries and to +break down complex questions into smaller, manageable steps. ### Architecture -![Overview](./architecture.svg) +![Overview](architecture.svg) -This demo contains 3 key parts: -1. **Application** -- The LLM-based app that acts as the orchestrating layer for the - interaction with the LLM. -1. **Retrieval Service** -- The retrieval service provides the application with - concrete, discrete actions that allow the LLM to interact with the Database. -1. **Database** -- The database containing the data the LLM can use to answer +The architecture consists of three main components: +1. **Application** -- The user-facing agentic app that orchestrates the + interaction between the user and the agent. +1. **MCP Toolbox** -- [MCP Toolbox](https://github.com/googleapis/genai-toolbox) + is a middleware server that exposes the database operations as a set of + tools. The LLM agent connects to the Toolbox to execute these tools. This + provides a secure, scalable, and modular way to manage database interactions. +1. **Database** -- The database containing the data the agent can use to answer questions. For this application, the database used was intentionally designed to be interchangeable in order to make it easier to run this on your preferred database. -Running the retrieval service separately (as opposed to in the app itself) can -help address a number of challenges -1. **Better recall** - LLMs perform better when given smaller, discrete tasks +Using the Toolbox as an intermediary offers several advantages: + +1. **Better Security** - The Toolbox handles authentication and authorization, + preventing the agent from directly accessing the database and reducing the + risk of security vulnerabilities. +1. **Better scalability** - Toolbox allows multiple different Agents to leverage + it, as well as allowing it to scale independently. It allows for production + best practices such as connection pooling or caching. +1. **Better recall** - Agents perform better when given smaller, discrete tasks they can use to accomplish larger goals. By mapping a specific action to a - specific, pre-determined query it significantly improves the LLMs ability to - leverage it successfully. -1. **Better scalability** - Running the retrieval as a separate service both - allows multiple different LLMs to leverage it, as well as allowing it to - scale independently. It allows for production best practices such as - connection pooling or caching. -1. **Better security** - LLMs are susceptible to attacks such as "jailbreaking" - to circumvent safety measures that are put in place. Using an intermediary - service allows the application to handle authentication and authorization - through more standard and secure channels (like existing auth web frameworks). - -## Deploying - -Deploying this demo consists of 3 steps: -1. Setting up your Database -- creating your database and initializing it with - data -1. Deploying your service -- deploying your retrieval service and connecting - it to your database -1. Running the LLM-based application -- running your application locally + specific, pre-determined query, via tools, it significantly improves the + agent's ability to leverage it successfully. + +Head over to the official [MCP Toolbox +docs](https://googleapis.github.io/genai-toolbox/getting-started/introduction/) +for more details. + +## Deployment + +Deploying Cymbal Air app is a three-step process. You will first download the +necessary tools, then perform a one-time setup for your database and Toolbox +configuration, and finally launch the Toolbox server and the app. ### Before you begin -Clone this repo to your local machine: -```bash -git clone https://github.com/GoogleCloudPlatform/genai-databases-retrieval-app.git -``` +First, clone this repository and download the MCP Toolbox binary. + +1. **Clone the repository:** + ```bash + git clone https://github.com/GoogleCloudPlatform/genai-databases-retrieval-app.git + cd genai-databases-retrieval-app + ``` +2. **Download MCP Toolbox binary:** + + Follow [these + steps](https://googleapis.github.io/genai-toolbox/getting-started/introduction/#installing-the-server) + to download the binary. This involves running the following commands: + ```bash + # See the releases page for the latest version + export VERSION=0.8.0 + curl -O https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox + chmod +x toolbox + ``` -### Setting up your Database +### One-Time Database & Tool Configuration -The retrieval service uses an interchangeable 'datastore' interface. Choose one -of the databases listed below to set up and initialize your database: +Next, you must perform a one-time setup to create your database instance, +populate it with data, and create the `tools.yaml` configuration file. This +process uses the Toolbox binary you just downloaded. -* [Set up and configure AlloyDB with public IP](./docs/datastore/alloydb.md) -* [Set up and configure Cloud SQL for Postgres](./docs/datastore/cloudsql_postgres.md) -* [Set up and configure Cloud SQL for MySQL](./docs/datastore/cloudsql_mysql.md) -* [Set up and configure non-cloud postgres (such as AlloyDB Omni)](./docs/datastore/postgres.md) -* [Set up and configure Firestore](./docs/datastore/firestore.md) -* [Set up and configure Spanner for Postgres](./docs/datastore/spanner_pg.md) -* [Set up and configure Spanner for GoogleSQL](./docs/datastore/spanner_gsql.md) +> [!IMPORTANT] +> For detailed, step-by-step instructions, follow the **[Database Setup +> Guide](docs/database_setup.md)**. + +> [!NOTE] +> If you have already configured your own database, you can skip this section. + +### Launch the Toolbox Server (Choose One) + +After your database is initialized and your `tools.yaml` file is created, you +must run the Toolbox server so the agentic app can connect to it. You can either +run it locally for development or deploy it to Cloud Run for a more robust +setup. + +#### **Option A:** Run Toolbox Locally + +For local development and testing, you can run the Toolbox server directly from +your terminal. This is the quickest way to get started. + +**For instructions, follow the [guide to running the Toolbox +locally](https://googleapis.github.io/genai-toolbox/getting-started/introduction/#getting-started).** + +The basic command will be: +```bash +./toolbox --tools-file "tools.yaml" +``` -### Deploying the Retrieval Service +#### **Option B:** Deploy Toolbox to Cloud Run -[Instructions for deploying the retrieval service](./docs/deploy_retrieval_service.md) +For a scalable and production-ready setup, you can deploy the Toolbox as a +service on Google Cloud Run. This provides a stable, shareable endpoint for your +application. -### Running the LLM-based Application +**For instructions, follow the [guide to deploying the Toolbox on Cloud +Run](https://googleapis.github.io/genai-toolbox/how-to/deploy_toolbox/)**. -[Instructions for running app locally](./docs/run_llm_demo.md) +### Running the Agentic Application -### Clean up Resources +[Instructions for running app locally](docs/run_app.md) -[Instructions for cleaning up resources](./docs/clean_up.md) +### Clean Up -## Writing your own retrieval service +[Instructions for cleaning up resources](docs/clean_up.md) -This demo can also serve as a starting point for writing your own retrieval -service. The directory is organized into the following folders: +## Customizing Your Tools -| Directory | Description | -|----------------------------------------------|---------------------------------------------------------------------------------------| -| [`data`](/data) | Contains CSV files with the dataset for a working demo. | -| [`llm_demo`](/llm_demo) | Contains an LLM-based application that uses the retrieval service via multiple orchestrator (e.g. LangChain, VertexAI). | -| [`retrieval_service`](/retrieval_service) | Contains the service for extending an LLM with information from the database. | +This demo can serve as a starting point for building your own Agentic +applications. You can customize the tools available to the agent by modifying +the MCP Toolbox configuration file. -You can copy or fork the `retrieval_service` folder to customize it to your -needs. There are two main places you want to start: -- `retrieval_service/app/routes.py` - contains the API endpoints that the LLM - will call -- `retrieval_service/datastore/datastore.py` - contains the interface used to - abstract the database. There are specific implementations of this in the - `providers` folder that can be customized with logic for your specific schema. +Please refer to the [MCP Toolbox documentation][configure] for more information on creating +and configuring tools. +[toolbox]: (https://googleapis.github.io/genai-toolbox/getting-started/introduction/#getting-started) +[configure]: (https://googleapis.github.io/genai-toolbox/getting-started/configure/) \ No newline at end of file diff --git a/llm_demo/orchestrator/langgraph/__init__.py b/agent/__init__.py similarity index 85% rename from llm_demo/orchestrator/langgraph/__init__.py rename to agent/__init__.py index f7e7d7004..05ba37457 100644 --- a/llm_demo/orchestrator/langgraph/__init__.py +++ b/agent/__init__.py @@ -12,6 +12,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -from .langgraph_orchestrator import LangGraphOrchestrator +from .agent import Agent -__ALL__ = ["LangGraphOrchestrator"] +__ALL__ = ["Agent"] diff --git a/llm_demo/orchestrator/langgraph/langgraph_orchestrator.py b/agent/agent.py similarity index 69% rename from llm_demo/orchestrator/langgraph/langgraph_orchestrator.py rename to agent/agent.py index 4b2d7a191..f4031c066 100644 --- a/llm_demo/orchestrator/langgraph/langgraph_orchestrator.py +++ b/agent/agent.py @@ -4,7 +4,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, @@ -16,20 +16,15 @@ import os import uuid from datetime import datetime -from typing import Annotated, Any, Dict, List, Literal, Optional, Sequence, TypedDict +from typing import Any, Dict, List, Optional, Sequence -from aiohttp import ClientSession, TCPConnector -from fastapi import HTTPException from langchain.globals import set_verbose # type: ignore from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, ToolMessage -from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder -from langchain_core.runnables import RunnableConfig, RunnableLambda -from langchain_core.tools import StructuredTool +from langchain_core.prompts import ChatPromptTemplate from langgraph.checkpoint.base import empty_checkpoint from langgraph.checkpoint.memory import MemorySaver from pytz import timezone -from ..orchestrator import BaseOrchestrator, classproperty from .react_graph import create_graph from .tools import initialize_tools @@ -41,47 +36,54 @@ } -class LangGraphOrchestrator(BaseOrchestrator): +class Agent: + MODEL = "gemini-2.0-flash-001" + _user_sessions: Dict[str, str] # aiohttp context connector = None - client: Optional[ClientSession] = None def __init__(self): self._user_sessions = {} self._langgraph_app = None self._checkpointer = None - @classproperty - def kind(cls): - return "langgraph" - def user_session_exist(self, uuid: str) -> bool: return uuid in self._user_sessions - async def user_session_insert_ticket(self, uuid: str, params: str) -> Any: - response = await self.user_session_invoke(uuid, None) - return "ticket booking success" + async def user_session_insert_ticket(self, uuid: str) -> Any: + return await self.user_session_invoke(uuid, None) async def user_session_decline_ticket(self, uuid: str) -> dict[str, Any]: config = self.get_config(uuid) + + # The user has declined the pending ticket booking. We inject a + # synthetic HumanMessage to simulate the user explicitly canceling. This + # state update causes langgraph to re-run its conditional logic. Instead + # of proceeding with the interrupted tool call, the graph routes to the + # main agent, which formulates a natural response to the user's + # "cancellation". human_message = HumanMessage( content="I changed my mind. Decline ticket booking." ) self._langgraph_app.update_state(config, {"messages": [human_message]}) - response = await self.user_session_invoke(uuid, None) - return response + return await self.user_session_invoke(uuid, None) async def user_session_create(self, session: dict[str, Any]): """Create and load an agent executor with tools and LLM.""" - client = await self.create_client_session() if self._langgraph_app is None: print("Initializing graph..") - tools = await initialize_tools(client) - prompt = self.create_prompt_template(tools) + tools, insert_ticket, validate_ticket = await initialize_tools() + prompt = self.create_prompt_template() checkpointer = MemorySaver() langgraph_app = await create_graph( - tools, checkpointer, prompt, self.MODEL, client, DEBUG + tools, + insert_ticket, + validate_ticket, + checkpointer, + prompt, + self.MODEL, + DEBUG, ) self._checkpointer = checkpointer self._langgraph_app = langgraph_app @@ -97,7 +99,6 @@ async def user_session_create(self, session: dict[str, Any]): config = self.get_config(session_id) self._langgraph_app.update_state(config, {"messages": history}) self._user_sessions[session_id] = "" - self.client = client async def user_session_invoke( self, uuid: str, user_prompt: Optional[str] @@ -108,10 +109,7 @@ async def user_session_invoke( ) if user_prompt: user_query = [HumanMessage(content=user_prompt)] - app_input = { - "messages": user_query, - "user_id_token": self.get_user_id_token(uuid), - } + app_input = {"messages": user_query} else: app_input = None final_state = await self._langgraph_app.ainvoke( @@ -167,45 +165,18 @@ def user_session_reset(self, session: dict[str, Any], uuid: str): # Update state with message history self._langgraph_app.update_state(config, {"messages": history}) - def get_user_session(self, uuid: str): - raise NotImplementedError("Irrelevant to LangGraph.") - def set_user_session_header(self, uuid: str, user_id_token: str): self._user_sessions[uuid] = user_id_token def get_user_id_token(self, uuid: str) -> Optional[str]: return self._user_sessions.get(uuid) - async def get_connector(self) -> TCPConnector: - if self.connector is None: - self.connector = TCPConnector(limit=100) - return self.connector - - async def create_client_session(self) -> ClientSession: - return ClientSession( - connector=await self.get_connector(), - connector_owner=False, - headers={}, - raise_for_status=True, - ) - - def create_prompt_template(self, tools: List[StructuredTool]) -> ChatPromptTemplate: - # Create new prompt template - tool_strings = "\n".join( - [f"> {tool.name}: {tool.description}" for tool in tools] - ) - tool_names = ", ".join([tool.name for tool in tools]) - format_instructions = FORMAT_INSTRUCTIONS.format( - tool_names=tool_names, - ) + def create_prompt_template(self) -> ChatPromptTemplate: current_datetime = "Today's date and current time is {cur_datetime}." template = "\n\n".join( [ PREFIX, current_datetime, - TOOLS_PREFIX, - tool_strings, - format_instructions, SUFFIX, ] ) @@ -244,18 +215,24 @@ def get_base_history(self, session: dict[str, Any]): return BASE_HISTORY def get_config(self, uuid: str): - return {"configurable": {"thread_id": uuid, "checkpoint_ns": ""}} + return { + "configurable": { + "thread_id": uuid, + "auth_token_getters": { + "my_google_service": lambda: self.get_user_id_token(uuid) + }, + "checkpoint_ns": "", + }, + } async def user_session_signout(self, uuid: str): checkpoint = empty_checkpoint() config = self.get_config(uuid) - self._checkpointer.put(config=config, checkpoint=checkpoint, metadata={}) + self._checkpointer.put( + config=config, checkpoint=checkpoint, metadata={}, new_versions={} + ) del self._user_sessions[uuid] - async def close_clients(self): - if self.client: - await self.client.close() - PREFIX = """The Cymbal Air Customer Service Assistant helps customers of Cymbal Air with their travel needs. @@ -268,43 +245,9 @@ async def close_clients(self): require passing results from one query to another. Using the latest AI models, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand. The assistant should -not answer questions about other peoples information for privacy reasons. +not answer questions about other people's information for privacy reasons. Assistant is a powerful tool that can help answer a wide range of questions pertaining to travel on Cymbal Air -as well as ammenities of San Francisco Airport.""" - -TOOLS_PREFIX = """ -TOOLS: ------- -Assistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are: - -""" - -FORMAT_INSTRUCTIONS = """ -When responding, please output a response in one of two formats: - -** Option 1:** -Use this is you want to use a tool. -Markdown code snippet formatted in the following schema: -```json -{{{{ - "action": string, \ The action to take. Must be one of {tool_names} - "action_input": string \ The input to the action -}}}} -``` - -**Option 2:** -Use this if you want to respond directly to the human. -Markdown code snippet formatted following schema: -```json -{{{{ - "action": "Final Answer", - "action_input": string \ You should put what you want to return to user here -}}}} -``` -""" - -SUFFIX = """Begin! Use tools if necessary. Respond directly if appropriate. - -Remember to respond with a markdown code snippet of a json a single action, and NOTHING else. -""" +as well as amenities of San Francisco Airport.""" + +SUFFIX = """Begin! Use tools if necessary. Respond directly if appropriate.""" diff --git a/llm_demo/orchestrator/langgraph/react_graph.py b/agent/react_graph.py similarity index 50% rename from llm_demo/orchestrator/langgraph/react_graph.py rename to agent/react_graph.py index b05134f1e..2a788ff15 100644 --- a/llm_demo/orchestrator/langgraph/react_graph.py +++ b/agent/react_graph.py @@ -16,7 +16,6 @@ import uuid from typing import Annotated, Literal, Sequence, TypedDict -from aiohttp import ClientSession from langchain_core.messages import ( AIMessage, BaseMessage, @@ -30,40 +29,76 @@ from langgraph.checkpoint.memory import MemorySaver from langgraph.graph import END, StateGraph from langgraph.graph.message import add_messages -from langgraph.managed import IsLastStep +from toolbox_langchain import ToolboxTool -from .tool_node import ToolNode from .tools import ( - TicketInfo, + get_auth_tools, get_confirmation_needing_tools, - insert_ticket, - validate_ticket, ) class UserState(TypedDict): """ - State with messages and ClientSession for each session/user. + State with messages for each session/user. """ messages: Annotated[Sequence[BaseMessage], add_messages] - user_id_token: str - is_last_step: IsLastStep + + +def __is_logged_in(config: RunnableConfig) -> bool: + """ + Checks if the user is logged in based on the provided config. + """ + return bool( + config + and "configurable" in config + and "auth_token_getters" in config["configurable"] + and "my_google_service" in config["configurable"]["auth_token_getters"] + and config["configurable"]["auth_token_getters"]["my_google_service"]() + ) + + +def __get_tool_to_run(tool: ToolboxTool, config: RunnableConfig): + if ( + config + and "configurable" in config + and "auth_token_getters" in config["configurable"] + ): + auth_token_getters = config["configurable"]["auth_token_getters"] + if auth_token_getters: + + # The `add_auth_token_getters` method requires that all provided + # getters are used by the tool. To prevent validation errors, + # filter the incoming getters to include only those that this + # specific tool requires. + core_tool = tool._ToolboxTool__core_tool # type:ignore + required_auth_keys = set(core_tool._required_authz_tokens) + for auth_list in core_tool._required_authn_params.values(): + required_auth_keys.update(auth_list) + filtered_getters = { + k: v for k, v in auth_token_getters.items() if k in required_auth_keys + } + if filtered_getters: + return tool.add_auth_token_getters(filtered_getters) + return tool async def create_graph( - tools, + tools: list[ToolboxTool], + insert_ticket: ToolboxTool, + validate_ticket: ToolboxTool, checkpointer: MemorySaver, prompt: ChatPromptTemplate, model_name: str, - client: ClientSession, debug: bool, ): """ Creates a graph that works with a chat model that utilizes tool calling. Args: - tools: A list of StructuredTools that will bind with the chat model. + tools: A list of ToolboxTools that will bind with the chat model. + insert_ticket: A ToolboxTool that inserts ticket for the logged in user. + validate_ticket: A ToolboxTool that validates the given flight data. checkpointer: The checkpoint saver object. This is useful for persisting the state of the graph (e.g., as chat memory). prompt: Initial prompt for the model. This applies to messages before they @@ -74,22 +109,67 @@ async def create_graph( A compilled LangChain runnable that can be used for chat interactions. The resulting graph looks like this: - [*] --> Start - Start --> Agent - Agent --> Tools : continue - Tools --> Agent - Agent --> End : end - End --> [*] + + [*] -> Agent + | + +-- (No tool calls) -> [*] + | + +-- (Tool calls) -> Request Login? + | + +-- (No) -> Tools -> Agent + | + +-- (Yes, but not logged in) -> [*] + | + +-- (Yes, and logged in) -> Needs Confirmation? + | + +-- (No) -> Tools -> Agent + | + +-- (Yes) -> Booking Validation -> Insert Ticket -> [*] """ + # tool node - tool_node = ToolNode(tools) + async def tool_node(state: UserState, config: RunnableConfig): + last_message = state["messages"][-1] + tool_messages = [] + + if not hasattr(last_message, "tool_calls"): + return {"messages": []} + + for tool_call in last_message.tool_calls: + tool_name = tool_call["name"] + # Find the corresponding tool from the provided list + selected_tool = next((t for t in tools if t.name == tool_name), None) + + if not selected_tool: + # Handle case where the model hallucinates a tool name + output = f"Error: Tool '{tool_name}' not found." + else: + try: + tool_to_run: ToolboxTool = __get_tool_to_run(selected_tool, config) + # Manually invoke the tool with its arguments + output = await tool_to_run.ainvoke(tool_call["args"]) + except Exception as e: + output = f"Error executing tool {tool_name}: {e}" + + # Create a ToolMessage with the result and original tool_call_id + tool_messages.append( + ToolMessage( + name=tool_to_run.name, + content=output, + tool_call_id=tool_call["id"], + ) + ) + + return {"messages": tool_messages} # model node - # TODO: Use .bind_tools(tools) to bind the tools with the LLM. model = ChatVertexAI(max_output_tokens=512, model_name=model_name, temperature=0.0) + # Bind the tools with the LLM. + model_with_tools = model.bind_tools(tools) + # Add the prompt to the model to create a model runnable - model_runnable = prompt | model + model_runnable = prompt | model_with_tools async def acall_model(state: UserState, config: RunnableConfig): """ @@ -98,79 +178,58 @@ async def acall_model(state: UserState, config: RunnableConfig): """ messages = state["messages"] res = await model_runnable.ainvoke({"messages": messages}, config) + return {"messages": [res]} - # TODO: Remove the temporary fix of parsing LLM response and invoking - # tools until we use bind_tools API and have automatic response parsing - # and tool calling. (see - # https://langchain-ai.github.io/langgraph/#example) - if "```json" in res.content: - try: - response = str(res.content).replace("```json", "").replace("```", "") - json_response = json.loads(response) - action = json_response.get("action") - action_input = json_response.get("action_input") - if action == "Final Answer": - res = AIMessage(content=action_input) - else: - res = AIMessage( - content="suggesting a tool call", - tool_calls=[ - ToolCall( - id=str(uuid.uuid4()), name=action, args=action_input - ) - ], - ) - except Exception as e: - json_response = response - res = AIMessage( - content="Sorry, failed to generate the right format for response" + def request_login_node(_: UserState): + """ + If the user needs to log in, this node sends a message to the user. + """ + return { + "messages": [ + AIMessage( + content="This action requires you to be signed in. Please log in and then try again." ) - - # if model exceed the number of steps and has not yet return a final answer - if state["is_last_step"] and hasattr(res, "tool_calls"): - return { - "messages": [ - AIMessage( - content="Sorry, need more steps to process this request.", - ) - ] - } - return {"messages": [res]} + ] + } def agent_should_continue( - state: UserState, - ) -> Literal["booking_validation", "continue", "end"]: + state: UserState, config: RunnableConfig + ) -> Literal["booking_validation", "continue", "request_login", "end"]: """ Function to determine which node is called after the agent node. """ messages = state["messages"] last_message = messages[-1] - # If the LLM makes a tool call, then we route to the "tools" node - if hasattr(last_message, "tool_calls") and len(last_message.tool_calls) > 0: - confirmation_needing_tools = get_confirmation_needing_tools() - for tool_call in last_message.tool_calls: - tool_name = tool_call["name"] - if tool_name in confirmation_needing_tools: - if tool_name == "Insert Ticket": - return "booking_validation" - return "continue" - # Otherwise, we stop (reply to the user) - return "end" - async def booking_validation_node(state: UserState, config: RunnableConfig): + # First check if the last message has tool calls. + if not hasattr(last_message, "tool_calls") or len(last_message.tool_calls) == 0: + return "end" + + # Next, check if any tool requires authentication. + for tool_call in last_message.tool_calls: + if tool_call["name"] in get_auth_tools(): + if not __is_logged_in(config): + return "request_login" + if tool_call["name"] in get_confirmation_needing_tools(): + if tool_call["name"] == "insert_ticket": + return "booking_validation" + + # If no special conditions are met, proceed to the "tool" node. + return "continue" + + async def booking_validation_node(state: UserState): """ The node representing async function that validate the ticket. After ticket validation, it will return AIMessage with updated ticket args. """ messages = state["messages"] last_message = messages[-1] - user_id_token = state["user_id_token"] if hasattr(last_message, "tool_calls") and len(last_message.tool_calls) > 0: tool_call = last_message.tool_calls[0] # Run ticket validation and return the correct ticket information - flight_info = await validate_ticket( - client, tool_call.get("args"), user_id_token - ) + flight_info = await validate_ticket.ainvoke(tool_call.get("args")) + flight_info = json.loads(flight_info) + flight_info = flight_info[0] new_message = AIMessage( content="Please confirm if you would like to book the ticket.", @@ -191,7 +250,8 @@ def booking_should_continue(state: UserState) -> Literal["continue", "agent"]: """ messages = state["messages"] last_message = messages[-1] - # If last message makes a tool call, then we route to the "tools" node to proceed with booking + # If last message makes a tool call, then we route to the + # "insert_ticket" node to proceed with booking. if hasattr(last_message, "tool_calls") and len(last_message.tool_calls) > 0: return "continue" # Otherwise, send response back to agent @@ -199,30 +259,32 @@ def booking_should_continue(state: UserState) -> Literal["continue", "agent"]: async def insert_ticket_node(state: UserState, config: RunnableConfig): """ - Node to update human response to prevent + Node to update human response. """ messages = state["messages"] last_message = messages[-1] - user_id_token = state["user_id_token"] # Run insert ticket if hasattr(last_message, "tool_calls") and len(last_message.tool_calls) > 0: tool_call = last_message.tool_calls[0] tool_args = tool_call.get("args") - ticket_info = TicketInfo(**tool_args) - output = await insert_ticket(client, ticket_info, user_id_token) - tool_call_id = tool_call.get("id") - tool_message = ToolMessage( - content=output, name="Insert Ticket", tool_call_id=tool_call_id + __insert_ticket = __get_tool_to_run(insert_ticket, config) + output = await __insert_ticket.ainvoke(tool_args) + human_message = HumanMessage(content="Looks good to me. Book it!") + ai_message = AIMessage( + content=( + "Your flight has been successfully booked." + if output == "null" + else output + ) ) - human_message = HumanMessage(content="Looks good to me.") - ai_message = AIMessage(content=output) - return {"messages": [human_message, tool_message, ai_message]} + return {"messages": [human_message, ai_message]} # Define constant node strings AGENT_NODE = "agent" TOOL_NODE = "tools" BOOKING_VALIDATION_NODE = "booking_validation" INSERT_TICKET_NODE = "insert_ticket" + REQUEST_LOGIN_NODE = "request_login" # Define a new graph llm_graph = StateGraph(UserState) @@ -230,6 +292,7 @@ async def insert_ticket_node(state: UserState, config: RunnableConfig): llm_graph.add_node(TOOL_NODE, tool_node) llm_graph.add_node(BOOKING_VALIDATION_NODE, RunnableLambda(booking_validation_node)) llm_graph.add_node(INSERT_TICKET_NODE, RunnableLambda(insert_ticket_node)) + llm_graph.add_node(REQUEST_LOGIN_NODE, request_login_node) # Set agent node as the first node to call llm_graph.set_entry_point(AGENT_NODE) @@ -241,6 +304,7 @@ async def insert_ticket_node(state: UserState, config: RunnableConfig): { "continue": TOOL_NODE, "booking_validation": BOOKING_VALIDATION_NODE, + "request_login": REQUEST_LOGIN_NODE, "end": END, }, ) @@ -251,6 +315,7 @@ async def insert_ticket_node(state: UserState, config: RunnableConfig): {"continue": INSERT_TICKET_NODE, "agent": AGENT_NODE}, ) llm_graph.add_edge(INSERT_TICKET_NODE, END) + llm_graph.add_edge(REQUEST_LOGIN_NODE, END) # Compile graph into a LangChain Runnable langgraph_app = llm_graph.compile( diff --git a/agent/tools.py b/agent/tools.py new file mode 100644 index 000000000..1ac300261 --- /dev/null +++ b/agent/tools.py @@ -0,0 +1,47 @@ +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os + +from toolbox_core import auth_methods +from toolbox_langchain import ToolboxClient + +TOOLBOX_URL = os.getenv("TOOLBOX_URL", default="http://127.0.0.1:5000") + + +# Tools for agent +async def initialize_tools(): + auth_token_provider = auth_methods.aget_google_id_token(TOOLBOX_URL) + client = ToolboxClient( + TOOLBOX_URL, client_headers={"Authorization": auth_token_provider} + ) + tools = await client.aload_toolset("cymbal_air") + + # Load insert_ticket and validate_ticket tools separately to implement + # human-in-the-loop. + insert_ticket = await client.aload_tool("insert_ticket") + validate_ticket = await client.aload_tool("validate_ticket") + + return (tools, insert_ticket, validate_ticket) + + +def get_confirmation_needing_tools(): + return ["insert_ticket"] + + +def get_auth_tools(): + return [ + "insert_ticket", + "list_tickets", + ] diff --git a/llm_demo/app.py b/app.py similarity index 70% rename from llm_demo/app.py rename to app.py index 6addf875d..e9c3f1cd2 100644 --- a/llm_demo/app.py +++ b/app.py @@ -27,7 +27,7 @@ from markdown import markdown from starlette.middleware.sessions import SessionMiddleware -from orchestrator import createOrchestrator +from agent import Agent routes = APIRouter() templates = Jinja2Templates(directory="templates") @@ -39,7 +39,7 @@ async def lifespan(app: FastAPI): print("Loading application...") yield # FastAPI app shutdown event - await app.state.orchestrator.close_clients() + print("Application shutdown.") @routes.get("/") @@ -47,12 +47,12 @@ async def lifespan(app: FastAPI): async def index(request: Request): """Render the default template.""" # User session setup - orchestrator = request.app.state.orchestrator + agent = request.app.state.agent session = request.session # check if token and user info is still valid if "uuid" in session: - user_id_token = orchestrator.get_user_id_token(session["uuid"]) + user_id_token = agent.get_user_id_token(session["uuid"]) if user_id_token: if session.get("user_info") and not get_user_info( user_id_token, request.app.state.client_id @@ -61,8 +61,8 @@ async def index(request: Request): elif not user_id_token and "user_info" in session: await logout_google(request) - if "uuid" not in session or not orchestrator.user_session_exist(session["uuid"]): - await orchestrator.user_session_create(session) + if "uuid" not in session or not agent.user_session_exist(session["uuid"]): + await agent.user_session_create(session) return templates.TemplateResponse( "index.html", @@ -102,8 +102,8 @@ async def login_google( session["user_info"] = user_info # create new request session - orchestrator = request.app.state.orchestrator - orchestrator.set_user_session_header(session["uuid"], str(user_id_token)) + agent = request.app.state.agent + agent.set_user_session_header(session["uuid"], str(user_id_token)) print("Logged in to Google.") welcome_text = ( @@ -131,9 +131,9 @@ async def logout_google( raise HTTPException(status_code=400, detail="No session to reset.") uuid = request.session["uuid"] - orchestrator = request.app.state.orchestrator - if orchestrator.user_session_exist(uuid): - await orchestrator.user_session_signout(uuid) + agent = request.app.state.agent + if agent.user_session_exist(uuid): + await agent.user_session_signout(uuid) request.session.clear() @@ -150,58 +150,76 @@ async def chat_handler(request: Request, prompt: str = Body(embed=True)): # Add user message to chat history request.session["history"].append({"type": "human", "data": {"content": prompt}}) - orchestrator = request.app.state.orchestrator - response = await orchestrator.user_session_invoke(request.session["uuid"], prompt) + agent = request.app.state.agent + response = await agent.user_session_invoke(request.session["uuid"], prompt) output = response.get("output") confirmation = response.get("confirmation") trace = response.get("trace") + request.session["history"].append({"type": "ai", "data": {"content": output}}) # Return assistant response if confirmation: return json.dumps( - {"type": "confirmation", "content": confirmation, "trace": trace} + { + "type": "confirmation", + "content": {"output": output, **confirmation}, + "trace": trace, + } ) else: - request.session["history"].append({"type": "ai", "data": {"content": output}}) return json.dumps( - {"type": "message", "content": markdown(output), "trace": trace} + { + "type": "message", + "content": markdown(output), + "trace": trace, + } ) -@routes.post("/book/flight", response_class=PlainTextResponse) -async def book_flight(request: Request, params: str = Body(embed=True)): - """Handler for LangChain chat requests""" - # Retrieve the params for the booking - if not params: - raise HTTPException(status_code=400, detail="Error: No booking params") +async def __booking_handler(request: Request, is_confirmed: bool): + """Common booking handler for flight confirmation and decline""" + # Note in the history, that the ticket was not booked. + # This is helpful in case of reloads so there doesn't seem to be a break in + # communication. if "uuid" not in request.session: raise HTTPException( status_code=400, detail="Error: Invoke index handler before start chatting" ) - orchestrator = request.app.state.orchestrator - response = await orchestrator.user_session_insert_ticket( - request.session["uuid"], params - ) - # Note in the history, that the ticket has been successfully booked - request.session["history"].append( - {"type": "ai", "data": {"content": "I have booked your ticket."}} + agent = request.app.state.agent + uuid = request.session["uuid"] + + # Determine the correct agent action and user message based on confirmation + # status. + if is_confirmed: + action = agent.user_session_insert_ticket(uuid) + content = "Looks good to me. Book it!" + else: + action = agent.user_session_decline_ticket(uuid) + content = "I changed my mind. Decline ticket booking." + + response = await action + output = response.get("output") + request.session["history"].extend( + [ + { + "type": "human", + "data": {"content": content}, + }, + {"type": "ai", "data": {"content": output}}, + ] ) - return response + return output + + +@routes.post("/book/flight", response_class=PlainTextResponse) +async def book_flight(request: Request): + """Handler for booking confirmation requests""" + return await __booking_handler(request, is_confirmed=True) @routes.post("/book/flight/decline", response_class=PlainTextResponse) async def decline_flight(request: Request): - """Handler for LangChain chat requests""" - # Note in the history, that the ticket was not booked - # This is helpful in case of reloads so there doesn't seem to be a break in communication. - orchestrator = request.app.state.orchestrator - response = await orchestrator.user_session_decline_ticket(request.session["uuid"]) - request.session["history"].append( - {"type": "ai", "data": {"content": "Please confirm if you would like to book."}} - ) - request.session["history"].append( - {"type": "human", "data": {"content": "I changed my mind."}} - ) - return None + """Handler for booking decline requests""" + return await __booking_handler(request, is_confirmed=False) @routes.post("/reset") @@ -212,11 +230,11 @@ def reset(request: Request): raise HTTPException(status_code=400, detail="No session to reset.") uuid = request.session["uuid"] - orchestrator = request.app.state.orchestrator - if not orchestrator.user_session_exist(uuid): + agent = request.app.state.agent + if not agent.user_session_exist(uuid): raise HTTPException(status_code=500, detail="Current user session not found") - orchestrator.user_session_reset(request.session, uuid) + agent.user_session_reset(request.session, uuid) def get_user_info(user_id_token: str, client_id: str) -> dict[str, str]: @@ -237,16 +255,13 @@ def clear_user_info(session: dict[str, Any]): def init_app( - orchestration_type: Optional[str], client_id: Optional[str], middleware_secret: Optional[str], ) -> FastAPI: # FastAPI setup - if orchestration_type is None: - raise HTTPException(status_code=500, detail="Orchestrator not found") app = FastAPI(lifespan=lifespan) app.state.client_id = client_id - app.state.orchestrator = createOrchestrator(orchestration_type) + app.state.agent = Agent() app.include_router(routes) app.mount("/static", StaticFiles(directory="static"), name="static") app.add_middleware(SessionMiddleware, secret_key=middleware_secret) @@ -256,12 +271,9 @@ def init_app( if __name__ == "__main__": PORT = int(os.getenv("PORT", default=8081)) HOST = os.getenv("HOST", default="0.0.0.0") - ORCHESTRATION_TYPE = os.getenv("ORCHESTRATION_TYPE", default="langchain-tools") CLIENT_ID = os.getenv("CLIENT_ID") MIDDLEWARE_SECRET = os.getenv("MIDDLEWARE_SECRET", default="this is a secret") - app = init_app( - ORCHESTRATION_TYPE, client_id=CLIENT_ID, middleware_secret=MIDDLEWARE_SECRET - ) + app = init_app(client_id=CLIENT_ID, middleware_secret=MIDDLEWARE_SECRET) if app is None: raise TypeError("app not instantiated") uvicorn.run(app, host=HOST, port=PORT) diff --git a/llm_demo/app_test.py b/app_test.py similarity index 100% rename from llm_demo/app_test.py rename to app_test.py diff --git a/architecture.svg b/architecture.svg index 26264c063..708f6bf63 100644 --- a/architecture.svg +++ b/architecture.svg @@ -1,16 +1,16 @@ - + - + - + @@ -23,59 +23,56 @@ - - -GenAI Database Retrieval - - - + + + +Cymbal Air - - - + + + - - - -Application - - - -LLM-based App - + + + + + + +Agentic App +Cloud Run - - -LLM model -Vertex AI + + +LLM +Vertex AI - -VPC + +VPC - - - -Retrieval Service -Cloud Run + + + +Toolbox +Cloud Run - - - -Database w/ Vector Support -AlloyDB + + + +Database +w/ Vector Support - - + + - - + + - - + + - - + + diff --git a/data/__init__.py b/data/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/data/amenity_dataset.csv b/data/amenity_dataset.csv index 326460e56..df296ad07 100644 --- a/data/amenity_dataset.csv +++ b/data/amenity_dataset.csv @@ -1,128 +1,128 @@ id,name,description,location,terminal,category,hour,sunday_start_hour,sunday_end_hour,monday_start_hour,monday_end_hour,tuesday_start_hour,tuesday_end_hour,wednesday_start_hour,wednesday_end_hour,thursday_start_hour,thursday_end_hour,friday_start_hour,friday_end_hour,saturday_start_hour,saturday_end_hour,content,embedding -0,Coffee Shop 732,Serving American cuisine.,Near Gate B12,Terminal 3,restaurant,Daily 7:00 am - 10:00 pm,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,Coffee Shop 732 is a restaurant. 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-0.0028519448824226856, 0.015490414574742317, 0.06609130650758743, -0.0318932943046093, -0.03893978148698807, -0.05431639030575752, -0.0257258340716362, -0.001925625023432076, 0.006378022022545338, -0.001763024483807385, 0.024806858971714973, -0.03389768674969673, -0.01756371185183525, 0.015270859003067017, 0.0580388680100441, -0.008283600211143494, 0.03782505542039871, 0.028978560119867325, -0.0309695266187191, 0.018169526010751724, 0.00426541268825531, -0.08594337105751038, 0.024591926485300064]" -3,Clothing Store 487,Selling clothing.,Near Gate A19,Terminal 4,shop,Daily 9:00 am - 9:00 pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,Clothing Store 487 is a shop. 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Serving authentic hawaiian coffee.,"[-0.048393670469522476, -0.04926373064517975, -0.018866635859012604, -0.0031000522430986166, -0.0029422943480312824, -0.013899276033043861, -0.00863962434232235, 0.02664625085890293, 0.026580486446619034, 0.03740216791629791, 0.03791947662830353, -0.0027510924264788628, 0.024005169048905373, -0.05418713018298149, 0.01807885617017746, -0.025330010801553726, -0.004327716771513224, -0.011973355896770954, -0.016771970316767693, -0.005583969410508871, 0.01468734722584486, 0.01661580614745617, 0.011480247601866722, -0.03357968479394913, -0.0024358697701245546, -0.04560087248682976, 0.007969935424625874, 0.07379326969385147, -0.05774886906147003, 0.09863809496164322, 0.0055803097784519196, -0.04729445278644562, 0.05957308039069176, -0.0009114377899095416, -0.0838778167963028, -0.01925230398774147, 0.08131665736436844, 0.03671324998140335, -0.05757198482751846, 0.011659924872219563, 0.03215496987104416, -0.07776162028312683, -0.050700705498456955, 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Serving Italian cuisine.,"[-0.04643848538398743, -0.026052311062812805, -0.011805480346083641, -0.046698037534952164, -0.008238984271883965, 0.024171683937311172, -0.039301078766584396, -0.008510041981935501, -0.005878556054085493, 0.022210584953427315, -0.02454899623990059, 0.031175652518868446, 0.08193545043468475, -0.06254847347736359, -0.03297024592757225, -0.01333987433463335, -0.03134289011359215, -0.01955375261604786, 0.004461283329874277, 0.0017211068188771605, 0.054112859070301056, -0.03245486319065094, -0.009398382157087326, -0.03241151571273804, -0.025283610448241234, -0.027601569890975952, 0.0368223674595356, 0.044947244226932526, -0.08882242441177368, 0.037442080676555634, 0.05164525657892227, -0.05166814848780632, 0.023885583505034447, -0.00968211144208908, -0.12034370750188828, -0.002722569042816758, 0.031075604259967804, -0.007063470780849457, 0.03630416840314865, 0.005710838362574577, 0.012402905151247978, -0.030214929953217506, -0.05250949412584305, 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Casual restaurant with aviation-themed decor serving American classics and bar fare.,"[-0.029725126922130585, -0.0015856917016208172, -0.009270228445529938, -0.028839189559221268, 0.0016241101548075676, 0.02343193255364895, 0.013609098270535469, -0.016866153106093407, -0.028445277363061905, -0.0024102090392261744, -0.05085594579577446, 0.01702815480530262, 0.029308591037988663, -0.03407350927591324, -0.0024230056442320347, 0.022195322439074516, 0.0002043578861048445, -0.0356958843767643, 0.005220996681600809, -0.05784716084599495, -0.034259527921676636, 0.006339062936604023, -0.026667922735214233, 0.013562197797000408, -0.016849327832460403, -0.012421537190675735, 0.032339539378881454, -0.005097777582705021, 0.0018119473243132234, 0.04588060826063156, 0.0627719908952713, -0.04739440977573395, 0.018910156562924385, 0.022676534950733185, -0.014206754975020885, 0.025857865810394287, 0.011550835333764553, 0.014636224135756493, -0.004826119635254145, 0.046554744243621826, 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International coffeehouse chain serving hot and cold beverages, pastries, and sandwiches.","[-0.0352536179125309, -0.043658919632434845, -0.006104453466832638, -0.039933182299137115, -0.01288862619549036, -0.019621193408966064, -0.03931055963039398, 0.0324881449341774, -0.012621268630027771, 0.06329134106636047, 0.044637054204940796, -0.003700275206938386, 0.05116366222500801, -0.047779832035303116, 0.045392442494630814, 0.0036394705530256033, 0.007930120453238487, 0.0017878888174891472, -0.010850968770682812, -0.015989849343895912, 0.04294351115822792, -0.027296636253595352, 0.002484200755134225, 0.03265911713242531, 0.0063996268436312675, -0.042105935513973236, 0.0189852062612772, 0.06116413325071335, -0.012499500997364521, 0.06121062859892845, 0.039980556815862656, -0.019154392182826996, 0.00843819323927164, -0.023688241839408875, -0.042175356298685074, 0.04495195299386978, 0.07572254538536072, -0.027017846703529358, -0.021487003192305565, 0.013719805516302586, 0.01248693373054266, 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International coffeehouse chain serving hot and cold beverages, pastries, and sandwiches.","[-0.0352536179125309, -0.043658919632434845, -0.006104453466832638, -0.039933182299137115, -0.01288862619549036, -0.019621193408966064, -0.03931055963039398, 0.0324881449341774, -0.012621268630027771, 0.06329134106636047, 0.044637054204940796, -0.003700275206938386, 0.05116366222500801, -0.047779832035303116, 0.045392442494630814, 0.0036394705530256033, 0.007930120453238487, 0.0017878888174891472, -0.010850968770682812, -0.015989849343895912, 0.04294351115822792, -0.027296636253595352, 0.002484200755134225, 0.03265911713242531, 0.0063996268436312675, -0.042105935513973236, 0.0189852062612772, 0.06116413325071335, -0.012499500997364521, 0.06121062859892845, 0.039980556815862656, -0.019154392182826996, 0.00843819323927164, -0.023688241839408875, -0.042175356298685074, 0.04495195299386978, 0.07572254538536072, -0.027017846703529358, -0.021487003192305565, 0.013719805516302586, 0.01248693373054266, 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-0.015096904709935188, 0.05558697506785393, 0.040418121963739395, -0.017799144610762596, 0.003707879688590765, 0.01585499197244644, -0.031234126538038254, 0.012592969462275505]" -32,Airport Yoga Studio,"Studio offering yoga classes for all levels, including pre-flight stretches and relaxation.",Near Gate B19,Terminal 3,facility,Daily 7:00 am-8:00 pm,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,"Airport Yoga Studio is a facility. Studio offering yoga classes for all levels, including pre-flight stretches and relaxation.","[-0.0028948478866368532, -0.014965387061238289, 0.0015959478914737701, -0.05546102300286293, 0.009713912382721901, 0.020739927887916565, -0.008246269077062607, 0.018087787553668022, -0.028638580814003944, -0.007362607400864363, -0.0058302185498178005, -0.03165632486343384, 0.040985241532325745, -0.013730629347264767, 0.03205487132072449, 0.05623677000403404, 1.6783840692369267e-05, -0.013209779746830463, -0.00019341870211064816, -0.006989294197410345, -0.027193186804652214, 0.0396508164703846, 0.033582426607608795, 0.0037488385569304228, -0.01234412007033825, 0.002829930279403925, -0.0028139932546764612, -0.04150029644370079, 0.014595245942473412, 0.023153936490416527, 0.026104256510734558, -0.045848626643419266, -0.013736547902226448, -0.035105280578136444, 0.03831392899155617, 0.016608428210020065, 0.01575344055891037, 0.02613730914890766, 0.04523329809308052, -0.004038242157548666, 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Fast-casual restaurant serving Asian-inspired dishes like noodle bowls and stir-frys.,"[-0.011662060394883156, -0.04476739838719368, 0.006499796640127897, -0.09517543762922287, 0.035234320908784866, 0.050847847014665604, -0.015794338658452034, -0.0316789448261261, -0.03863833472132683, 0.016444141045212746, -0.053555358201265335, 0.008882658556103706, -0.00504794018343091, -0.048642951995134354, 0.03854801133275032, 0.049685679376125336, -0.004309081006795168, -0.042018141597509384, -0.04314747452735901, -0.046835556626319885, -0.01731150597333908, -0.02203405275940895, 0.0034179450012743473, -0.03912537172436714, -0.038684502243995667, -0.04134862497448921, 0.022214241325855255, 0.04345788434147835, -0.07114870846271515, 0.04673999920487404, 0.06545339524745941, -0.047809962183237076, 0.036154791712760925, -0.04805418848991394, -0.01555832289159298, 0.00840718299150467, 0.0391833521425724, -0.0036642695777118206, -0.02903987653553486, -0.0041905418038368225, 0.035664863884449005, 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French beauty and fragrance company offering skincare, haircare, and fragrance products.","[0.05604872852563858, -0.012742383405566216, -0.0591377355158329, -0.018284594640135765, -0.025873126462101936, 0.034843191504478455, -0.015457399189472198, -0.006898199208080769, -0.024504518136382103, 0.00808397214859724, -0.04167413339018822, -0.038624126464128494, 0.021976003423333168, -0.012359077110886574, -0.04627273231744766, -0.012891112826764584, 0.01586800068616867, 0.014626197516918182, -0.007525318302214146, 0.02586516924202442, 0.0677494928240776, 0.058443583548069, 0.026070529595017433, -0.03581656143069267, 0.004227856639772654, 0.02645476907491684, -0.05436019226908684, 0.014401237480342388, -0.04666309058666229, -0.026533249765634537, 0.09641514718532562, -0.04852639138698578, 0.04804447293281555, -0.010806354694068432, -0.0645429715514183, 0.0035543942358344793, 0.06801757216453552, -0.0786718875169754, 0.027856791391968727, 0.029212946072220802, 0.0033360521774739027, 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Information desk offering assistance with flight information, directions, and other airport services.","[0.006108893547207117, 0.018900178372859955, -0.0012416266836225986, -0.02391469106078148, 0.013505276292562485, 0.025110136717557907, -0.004028069321066141, -0.04807830974459648, -0.015975313261151314, 0.005012681242078543, -0.05925934389233589, -0.03420133888721466, 0.0823640301823616, -0.005564741790294647, 0.041766390204429626, 0.0027440632693469524, 0.06697258353233337, -0.052325934171676636, 0.008510085754096508, -0.0553906112909317, -0.017824387177824974, 0.033214956521987915, -0.035821255296468735, 0.009567025117576122, -0.009052221663296223, -0.04596700891852379, 0.005807057023048401, -0.0019443881465122104, -0.01396349910646677, 0.00017984294390771538, 0.029933366924524307, -0.021154435351490974, 0.020358026027679443, -0.00293204328045249, -0.021117093041539192, 0.02739625610411167, 0.04153240844607353, -0.02315467782318592, 0.036085326224565506, -0.055528026074171066, 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Retailer offering a wide variety of gadgets, travel accessories, and novelty items.","[0.02614411897957325, -0.03336825594305992, -0.021450567990541458, 0.03123687021434307, 0.0005873264162801206, -0.011446725577116013, -0.003364250063896179, -0.015003944747149944, 0.022110018879175186, 0.03957407921552658, -0.009867951273918152, -0.024657540023326874, -0.02796611748635769, -0.052404556423425674, 0.04785306751728058, -0.0008558459812775254, 0.09457766264677048, -0.038540154695510864, -0.0397518016397953, -0.011717040091753006, -0.004024581518024206, 0.041561391204595566, -0.013369018211960793, 0.03295864164829254, 0.027150506153702736, -0.035730645060539246, 0.001783803105354309, 0.016000740230083466, 0.008719789795577526, 0.05514707788825035, 0.009959789924323559, -0.04792552813887596, 0.011286300607025623, 0.0030805589631199837, -0.010791740380227566, -0.005881197284907103, 0.06234334036707878, -0.008547206409275532, 0.03867727518081665, -0.03840797767043114, 0.01747097633779049, 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Private space for mothers to breastfeed or pump in a clean and comfortable environment.,"[-0.02300320379436016, -0.05375160276889801, -0.04673678055405617, -0.03156052157282829, 0.004156355746090412, 0.030081097036600113, 8.024944690987468e-06, -0.019881345331668854, -0.06816820800304413, 0.02430018037557602, 0.009832569397985935, -0.044127121567726135, 0.01757783815264702, -0.03391663730144501, 0.018497103825211525, -0.007154558785259724, 0.022090062499046326, -0.05633987858891487, 0.007808276917785406, -0.07341378927230835, -0.03901432827115059, -0.015701543539762497, -0.04378994554281235, -0.009076285175979137, 0.005916873458772898, -0.020440395921468735, 0.01658950001001358, -0.018091725185513496, -0.047161780297756195, 0.008667041547596455, 0.06243066117167473, 0.046206340193748474, 0.023851901292800903, 0.0008313757134601474, -0.005363682750612497, 0.04037158563733101, 0.02979910559952259, -0.010088268667459488, 0.021337710320949554, 0.05128869414329529, -0.0064882272854447365, 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Deli counter offering quick bites like sandwiches, salads, and wraps.","[-0.0007224928122013807, -0.03319604694843292, -0.02505415491759777, -0.03679058328270912, 0.003915620502084494, 0.0006961851613596082, -0.02018696442246437, 0.007974119856953621, -0.04142461717128754, 0.004292608238756657, -0.010786187835037708, 0.022202907130122185, 0.050872910767793655, -0.05045633390545845, 0.04257715865969658, -0.006290809251368046, 0.04233761131763458, 0.006280962377786636, -0.01581396535038948, -0.05308894068002701, 0.011050085537135601, 0.01763080060482025, -0.025020146742463112, -0.014672188088297844, -0.04501596465706825, -0.03552325814962387, 0.008428217843174934, 0.046085625886917114, -0.001250152476131916, 0.027107322588562965, 0.052858009934425354, -0.044116824865341187, -0.012210575863718987, 0.0030179002787917852, -0.07610710710287094, -0.00592743931338191, 0.052598122507333755, -0.005037295166403055, -0.020740510895848274, 0.022410061210393906, 0.03085809014737606, 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Duty-free shop offering a large selection of luxury goods, including perfumes, cosmetics, and liquor.","[0.02428795024752617, -0.087365061044693, -0.052157748490571976, -0.004125162493437529, -0.004079996608197689, 0.02147035300731659, 0.03378472477197647, 0.06085745245218277, -0.0715947151184082, -0.015791356563568115, -0.020902996882796288, -0.05196087434887886, 0.009090003557503223, 0.04016328603029251, -0.038456130772829056, -0.028630683198571205, 0.08977929502725601, -0.04347246140241623, -0.03369110822677612, 0.006962338462471962, 0.06622489541769028, 0.055839553475379944, -0.021848632022738457, -0.017278600484132767, 0.03856422379612923, -0.030983109027147293, -0.043713029474020004, 0.007814275100827217, -0.0016545929247513413, -0.04729301854968071, 0.07783813774585724, -0.08536144345998764, 0.0871361717581749, 0.013511222787201405, -0.002920525847002864, 0.020368484780192375, 0.019166119396686554, -0.04069710522890091, 0.019879493862390518, 0.011792740784585476, 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Free power charging stations for laptops and mobile devices.,"[-0.025803567841649055, -0.02479018270969391, -0.054754797369241714, -0.01159499492496252, -0.008824177086353302, -0.022078704088926315, 0.010013206861913204, -0.004784987308084965, -0.03392560034990311, -0.012625475414097309, 0.0177113339304924, -0.038926806300878525, 0.04015260189771652, -0.06991985440254211, 0.04502544924616814, -0.0051818592473864555, 0.06583979725837708, -0.0004116952186450362, 0.013951301574707031, -0.008448858745396137, 0.010929003357887268, -0.016568932682275772, -0.06100449338555336, -0.008081402629613876, 0.055288925766944885, -0.020049314945936203, -0.01812812313437462, 0.010251622647047043, -0.04288569465279579, 0.019932668656110764, 0.1019451767206192, 0.05057530105113983, 0.03497389331459999, 0.0023609045892953873, -0.0017356458120048046, -0.004421768244355917, 0.03005044348537922, -0.018725791946053505, -0.0052404399029910564, -0.05099978297948837, 0.05059817433357239, -0.0450182668864727, 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British-based sandwich and coffee chain serving fresh, made-to-order sandwiches and salads.","[-0.057493600994348526, -0.060760948807001114, 0.020863618701696396, -0.05915157124400139, 0.005656642373651266, -0.02613646723330021, -0.03859664872288704, 0.0020024050027132034, -0.06067170947790146, 0.03774886578321457, -0.04132650047540665, 0.0017869931180030107, -0.020140189677476883, -0.026393404230475426, 0.012167257256805897, -0.05183953046798706, -0.01582445204257965, 0.01847429946064949, -0.00622718408703804, -0.018154893070459366, 0.09256327897310257, 0.010079179890453815, -0.026398174464702606, -0.0038968860171735287, -0.001456619706004858, -0.0003113728016614914, 0.03958206996321678, 0.04682094231247902, -0.039335284382104874, 0.02406660094857216, 0.04048561677336693, -0.03985714167356491, -0.002307803835719824, 0.016904817894101143, -0.06625638902187347, 0.053401317447423935, 0.0832405537366867, -0.06348409503698349, -0.0084364153444767, 0.018352890387177467, 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Lingerie and beauty retailer offering a selection of bras, panties, sleepwear, and fragrances.","[0.050355907529592514, 0.0048342798836529255, -0.005961157847195864, -0.006082490086555481, -0.0030652324203401804, 0.0043412428349256516, 0.001827739761210978, -0.0027103875763714314, -0.07717203348875046, 0.024298246949911118, 0.004375620745122433, -0.023847123607993126, 0.07101701945066452, -0.014807741157710552, -0.015364357270300388, -0.025652334094047546, 0.04185187444090843, -0.029565639793872833, -0.008985746651887894, -0.0313381627202034, 0.03649202734231949, 0.06072447821497917, 0.031857945024967194, 0.05890357494354248, 0.0033083574380725622, 0.010824523866176605, 0.01265117060393095, -0.008211851119995117, -0.0362844243645668, -0.025374233722686768, 0.054044317454099655, -0.029774900525808334, 0.049424201250076294, 0.008380166254937649, -0.00934798363596201, 0.022630149498581886, -0.004163933917880058, -0.07124408334493637, 0.06104045733809471, 0.022113695740699768, 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0.032172031700611115, 0.03354042395949364, 0.041189294308423996, 0.03080861084163189, -0.025833070278167725, 0.014417482540011406, 0.012584800831973553]" -46,Cibo Express Gourmet Market,"Gourmet market offering a selection of grab-and-go food options, including sandwiches, salads, and snacks.",Gate C7,International Terminal A,shop,Daily 6:00 am-10:00 pm,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,"Cibo Express Gourmet Market is a shop. Gourmet market offering a selection of grab-and-go food options, including sandwiches, salads, and snacks.","[0.0041662040166556835, -0.04772463068366051, -0.047906968742609024, -0.012539061717689037, 0.022166693583130836, -0.01387067511677742, -0.05328383669257164, 0.016128534451127052, -0.04108776897192001, 0.030933506786823273, 0.008886334486305714, 0.03427796810865402, 0.04902523010969162, -0.04527736455202103, 0.025470709428191185, 0.02406306006014347, 0.05739862844347954, 0.006775213405489922, 0.0011334760347381234, 0.004150137305259705, 0.05813675373792648, 0.01924518682062626, 0.006598356645554304, -0.01283344253897667, -0.05167318508028984, -0.027654273435473442, 0.010621590539813042, 0.061680734157562256, 0.004856879357248545, 0.022745098918676376, 0.10116901248693466, -0.0550931915640831, 0.010243147611618042, -0.010985231958329678, -0.04394233599305153, 0.005629688035696745, 0.07439286261796951, -0.024752222001552582, -0.05794323980808258, 0.008206523954868317, 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-0.05346323177218437, 0.012958727777004242, 0.03737397864460945, 0.01418349426239729, 0.002618261845782399, 0.033241771161556244, -0.010361239314079285, 0.018728181719779968, -0.02685023844242096, -0.07995549589395523, 0.034908972680568695]" -48,The Local Tap Room,Craft beer bar offering a rotating selection of local and international beers on tap.,Gate E11,Terminal 1,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,The Local Tap Room is a restaurant. Craft beer bar offering a rotating selection of local and international beers on tap.,"[-0.005240221973508596, -0.03263109549880028, 0.0058789486065506935, -0.03498012572526932, -0.06745103746652603, -0.03937220573425293, 0.014480418525636196, -0.018938492983579636, -0.06256130337715149, 0.027917612344026566, -0.0343487486243248, -0.011377387680113316, 0.015471246093511581, -0.02546999789774418, -0.028146963566541672, -0.034880537539720535, -0.014837509021162987, -0.005792290437966585, 0.0033172795083373785, -0.010569863952696323, 0.009036444127559662, -0.008438237942755222, -0.009522572159767151, 9.16992430575192e-05, -0.042338937520980835, 0.00033142295433208346, 0.012475790455937386, 0.05438493564724922, 0.029941216111183167, 0.02394258603453636, 0.06484503298997879, -0.03026847541332245, 0.007282646372914314, 0.02571350708603859, -0.009680498391389847, -0.03106001950800419, -0.003140246495604515, -0.030739866197109222, -0.029031069949269295, 0.03832399845123291, 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Independent bookstore offering a diverse selection of books, magazines, and travel guides.","[0.039384130388498306, -0.009731714613735676, 0.024271760135889053, -0.03214100003242493, -0.002627526642754674, 0.040175434201955795, 0.011611669324338436, 0.02864537201821804, -0.05026406794786453, 0.009305696934461594, 0.0005257953307591379, -0.03733236715197563, 0.018086843192577362, -0.023853758350014687, 0.019314268603920937, -0.005982954520732164, 0.05413411930203438, -0.0007846039370633662, -0.047537434846162796, 0.004735113587230444, 0.019592469558119774, 0.057646580040454865, -0.020915383473038673, 0.03789893165230751, 0.01548001542687416, -0.03139264136552811, -0.026915786787867546, 0.02228078432381153, -0.020183030515909195, 0.0007321321754716337, 0.017171062529087067, -0.09918472170829773, 0.029477940872311592, 0.028772633522748947, -0.06333786249160767, 0.00880747102200985, 0.04652765393257141, -0.0260040033608675, 0.027742980048060417, 0.03339875116944313, -0.034746769815683365, 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Quiet space for prayer and reflection.,"[-0.0029248131904751062, 0.023327725008130074, -0.015298493206501007, -0.042206231504678726, 0.024529466405510902, 0.009361390955746174, -0.032450783997774124, -0.02073511853814125, -0.049766480922698975, -0.013900465331971645, -0.010068605653941631, -0.025240302085876465, 0.007467101328074932, -0.026942703872919083, -0.007299947086721659, -0.03189307451248169, 0.034488193690776825, -0.02542620152235031, 0.037490807473659515, -0.03254706785082817, 0.03502408042550087, -0.04439177364110947, -0.042516306042671204, -0.030477730557322502, 0.06814751029014587, -0.06419698148965836, -0.0026904887054115534, -0.03988839313387871, -0.021337930113077164, -0.03849567845463753, 0.064898781478405, 0.012027493678033352, -0.0012239685747772455, 0.01089474931359291, -0.007626833859831095, 0.02509562484920025, 0.07290372997522354, 0.028508886694908142, -0.015970252454280853, 0.06380295753479004, 0.012033685110509396, 0.003487006761133671, -0.000406106497393921, 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Counter offering a variety of soups, salads, and fresh bread.","[0.0021121089812368155, -0.057314347475767136, -0.008806717582046986, -0.036868903785943985, 0.008210043422877789, -0.03251158073544502, 0.0037974677979946136, -0.02571105770766735, -0.06883400678634644, 0.01367973443120718, -0.03280046954751015, -0.009427595883607864, 0.07673539966344833, -0.06210139021277428, 0.034967392683029175, 0.0026459742803126574, -0.0005503386491909623, -0.03953490033745766, -0.0012352215126156807, -0.014831922948360443, -0.005275653209537268, 0.00821582693606615, -0.020321983844041824, -0.007855115458369255, -0.040153518319129944, -0.01403773669153452, 0.0214533694088459, -0.00318977702409029, -0.052638694643974304, 0.026815464720129967, 0.07315614074468613, -0.012433690950274467, 0.05807837098836899, -0.030796710401773453, -0.057963572442531586, -0.0038856728933751583, 0.0885169729590416, -0.045039888471364975, 0.003726720344275236, -0.03856424614787102, -0.006289476994425058, 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Sports bar with memorabilia-themed decor serving American classics and watching live sports.""","[-0.04742014408111572, 0.012413940392434597, -0.022273385897278786, -0.0059165568090975285, 0.001994670834392309, 0.018564188852906227, 0.00997883453965187, -0.05166159197688103, -0.018935130909085274, -0.018671303987503052, -0.03705480322241783, 0.01374693214893341, 0.0009048523497767746, -0.055047158151865005, -0.014793483540415764, 0.049806199967861176, 0.036628078669309616, 0.008901041001081467, 0.030416442081332207, -0.05304846540093422, -0.0018926558550447226, -0.012912729755043983, -0.0025826527271419764, -0.035765983164310455, -0.02253490686416626, -0.005563916172832251, 0.022050006315112114, 0.03447405993938446, -0.025486338883638382, 0.047821175307035446, 0.05952909588813782, -0.05506923049688339, -0.01102142222225666, 0.04504487290978432, -0.01565299928188324, -0.010771429166197777, -0.02343732677400112, 0.010391468182206154, -0.0046647475101053715, 0.037545397877693176, 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Specialty coffee and tea retailer offering hot and cold beverages, pastries, and sandwiches.","[-0.025930890813469887, -0.0351543165743351, -0.002687714993953705, -0.04190270975232124, -0.03721797838807106, 0.03289121761918068, -0.050868138670921326, 0.020235085859894753, -0.0294234286993742, 0.0513526126742363, 0.007974905893206596, -0.005402859300374985, 0.011348184198141098, -0.046632494777441025, 0.04205471649765968, 0.009969438426196575, 0.018786702305078506, -0.04185865819454193, -0.019498273730278015, -0.015072319656610489, 0.03130880370736122, -0.027635397389531136, 0.052326999604701996, 0.012855414301156998, -0.01674172282218933, -0.01221378706395626, 0.01705809310078621, 0.03068510815501213, 0.012768792919814587, 0.03342530131340027, 0.029367348179221153, -0.027085548266768456, -0.009181003086268902, -0.01642780192196369, -0.0231624823063612, 0.01964937150478363, 0.06277140974998474, -0.014163664542138577, -0.013612454757094383, 0.020332546904683113, -0.02492201142013073, 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Walk-in spa offering massages, facials, and other treatments.","[0.009542287327349186, 0.0018063194584101439, -0.023301778361201286, -0.05040575936436653, 0.011706724762916565, 0.008263710886240005, -0.008293879218399525, 0.015562733635306358, -0.02383873611688614, -0.05068938434123993, -0.02003239281475544, 0.014784660190343857, 0.00970314908772707, -0.041732124984264374, 0.015243601985275745, 0.0692797526717186, 0.05371544137597084, -0.012845143675804138, 0.018485907465219498, 0.010256133042275906, 0.02940467931330204, 0.06668037176132202, 0.05467923358082771, 0.015479088760912418, -0.07607301324605942, 0.06679455190896988, -0.012172327376902103, 0.018591713160276413, -0.041970644146203995, -0.013626690953969955, 0.09681179374456406, 0.0034426627680659294, -0.008127899840474129, -0.039229732006788254, 0.00595393031835556, 0.0050714705139398575, 0.002179572358727455, 0.0026506707072257996, 0.042088162153959274, -0.017631104215979576, 0.011188037693500519, -0.02205054461956024, 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Fast-casual restaurant serving Chinese-inspired dishes like orange chicken and chow mein.,"[-0.02045470103621483, -0.04289320483803749, 0.007223867811262608, -0.05031788349151611, 0.001011099899187684, 0.033190928399562836, -0.024733027443289757, -0.032698821276426315, -0.023513024672865868, 0.010943744331598282, -0.03501402214169502, 0.07394605875015259, 0.008220626041293144, -0.060620617121458054, 0.036117073148489, 0.05186900123953819, 0.03652288019657135, -0.0038054990582168102, -0.01057398784905672, -0.014624216593801975, 0.06051966920495033, 0.0008927674498409033, -0.009237024933099747, 0.0009513524128124118, -0.02395578846335411, 0.021909402683377266, 0.04964570328593254, 0.060799263417720795, -0.04896128177642822, 0.006113970186561346, 0.06250293552875519, -0.04460260644555092, 0.03198327124118805, -0.01013375073671341, -0.005118499044328928, 0.009119252674281597, 0.033961158245801926, -0.04313734918832779, -0.00862121768295765, -0.04210308566689491, 0.04318295419216156, 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Help center offering assistance with lost and found, wheelchair services, and other airport assistance.","[0.010340720415115356, 0.025313850492239, 0.010993546806275845, -0.06681261956691742, 0.024403387680649757, 0.03472369164228439, 0.011054444126784801, -0.06463753432035446, -0.04078359156847, -0.01597931608557701, -0.04171287640929222, -0.026436081156134605, 0.05034618824720383, -0.0015802489360794425, 0.04970136284828186, 0.0063352626748383045, 0.07000985741615295, -0.03404450789093971, -0.004954192321747541, -0.025288604199886322, 0.002966266591101885, 0.04283484071493149, 0.018213653936982155, 0.012770326808094978, -0.03431021794676781, -0.06751387566328049, -0.013908613473176956, 0.002037906087934971, -0.02913598157465458, -0.008384356275200844, 0.029692327603697777, -0.01918875426054001, 0.04157621040940285, -0.05009999871253967, -0.0036308211274445057, -0.014268756844103336, 0.02709759958088398, -0.010020051151514053, 0.01582515984773636, -0.03706700727343559, 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ATM offering access to cash with Bank of America accounts.,"[-0.03066091053187847, 0.0123935267329216, -0.05835661292076111, -0.030690856277942657, 0.028491279110312462, 0.016729967668652534, -0.04128466919064522, -0.035335686057806015, -0.021493220701813698, 0.02078712172806263, -0.027842899784445763, -0.05252930521965027, -0.028794752433896065, -0.05809183046221733, 0.060455210506916046, 0.02751450426876545, 0.08298057317733765, 0.007778529543429613, 0.0783834233880043, -0.032282136380672455, -0.003318525617942214, 0.024649661034345627, -0.02585062012076378, -0.03396492451429367, 0.021048882976174355, -0.011382097378373146, 0.03744849935173988, -0.04288461431860924, -0.007937314920127392, 0.0014053127961233258, 0.07627753913402557, -0.04514506831765175, 0.02017592266201973, -0.0030872514471411705, 0.00987471267580986, 0.05652005597949028, 0.02989657036960125, -0.06208755448460579, 0.008485672064125538, -0.04470447450876236, 0.03238844498991966, -0.023015011101961136, 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Retailer offering a selection of sunglasses from top brands.,"[-0.030432848259806633, -0.041530679911375046, -0.0634375661611557, -0.026660319417715073, -0.0006497694994322956, 0.025986632332205772, -0.002712470944970846, -0.07138171046972275, -0.021127095445990562, 0.03773963823914528, 0.009938666597008705, -0.03573359176516533, 0.033423684537410736, -0.035476334393024445, -0.01861332729458809, 0.01666596718132496, 0.06720604747533798, 0.006940847262740135, -0.010809182189404964, 0.012209204025566578, 0.039321575313806534, 0.06082025542855263, -0.024535128846764565, -0.05051789805293083, 0.017079366371035576, -0.02175811305642128, -0.028295813128352165, 0.03263373672962189, -0.05741586908698082, 0.015305194072425365, 0.0493386909365654, -0.05968760326504707, 0.03292730823159218, 0.0035552901681512594, -0.05734175443649292, -0.005702566355466843, 0.0032069094013422728, 0.0065160393714904785, -0.004743104334920645, -0.01230894960463047, 0.039368435740470886, -0.09473419934511185, 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Casual bakery-cafe serving sandwiches, salads, soups, and pastries.","[-0.028486929833889008, -0.0070065404288470745, 0.003936052322387695, -0.013308283872902393, -0.02908427082002163, 0.0008716058800928295, -0.02408081851899624, 0.0026096452493220568, -0.055061936378479004, 0.03970799595117569, -0.008662278763949871, 0.03312601149082184, 0.03955608606338501, -0.0683533176779747, 0.029158780351281166, 0.006401803810149431, 0.047625016421079636, -0.0018374798819422722, 0.02355024218559265, -0.006380346603691578, 0.049166999757289886, -0.01307467557489872, -0.0077679832465946674, -0.0034889455419033766, -0.013759240508079529, 0.005600267089903355, 0.02271711826324463, 0.032500896602869034, 0.00481397332623601, -0.024263137951493263, 0.06381348520517349, -0.04906124994158745, 0.00527199124917388, -0.0023569867480546236, -0.0366605743765831, 0.032088566571474075, 0.04479055106639862, -0.048831757158041, -0.012962544336915016, 0.01594439707696438, -0.00434825150296092, 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Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.","[0.055892463773489, -0.05997491255402565, -0.013584441505372524, -0.0265935231000185, 0.0020448751747608185, 0.007934683933854103, 0.005789965856820345, 0.02990216389298439, -0.05208924040198326, 0.019307192414999008, 0.008684077300131321, -0.025533346459269524, 0.05415329709649086, 0.017287472262978554, -0.04157889634370804, -0.02797822095453739, 0.06811019778251648, -0.03457444906234741, -0.024283014237880707, 0.017314212396740913, 0.08240590989589691, 0.02869713492691517, 0.03265078365802765, -0.016291556879878044, 0.016947949305176735, -0.03329828381538391, -0.053065430372953415, 0.03355345502495766, -0.031491201370954514, -0.026516882702708244, 0.10797826945781708, -0.07012204080820084, 0.060921456664800644, -0.011012264527380466, -0.043754927814006805, 0.0029176005627959967, 0.01608179323375225, -0.024473711848258972, 0.01546369306743145, 0.02891385182738304, 0.028533777222037315, 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Sandwich chain offering customizable subs and salads.,"[-0.0013348093489184976, -0.018797054886817932, 0.02817416936159134, -0.02623353712260723, -0.0012942561879754066, -0.08215455710887909, -0.016526229679584503, 0.013533500023186207, -0.06297232210636139, 0.007786235772073269, -0.030273213982582092, 0.047864917665719986, 0.024714026600122452, -0.05361708998680115, 0.018106600269675255, 0.006776214111596346, 0.018614361062645912, 0.015079572796821594, -0.033088941127061844, -0.009204824455082417, 0.06047657132148743, -0.009352089837193489, -0.02879135124385357, 0.00747852586209774, -0.04363219439983368, 0.015594886615872383, 0.026453277096152306, 0.018952395766973495, 0.02955027110874653, 0.014623033814132214, 0.050406575202941895, -0.07312020659446716, 0.0189447533339262, 0.0068987649865448475, -0.05311259999871254, -0.018044181168079376, 0.051274120807647705, -0.03924654796719551, -0.028535624966025352, -0.004818458575755358, 0.0269574336707592, 0.0002423652185825631, 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Convenience store offering a wide range of snacks, drinks, and travel essentials.","[0.01451822742819786, -0.03670335188508034, -0.01238117553293705, 0.02603219263255596, 0.04973655194044113, -0.011481891386210918, 0.062204089015722275, -0.012344895862042904, -0.0415957011282444, 0.025538522750139236, -0.009314896538853645, -0.028699776157736778, 0.05188269540667534, -0.029593296349048615, -0.00798738095909357, 0.03942493349313736, 0.06773678213357925, -0.005311601795256138, 0.009445364587008953, 0.008228235878050327, 0.03338531404733658, 0.05147889629006386, -0.016870584338903427, -0.028979554772377014, -0.033762093633413315, -0.031081683933734894, -0.006908392067998648, 0.049161240458488464, -0.0638355240225792, 0.01512557826936245, 0.03795699402689934, -0.010004771873354912, 0.03128543496131897, 0.021078763529658318, -0.05979861691594124, 0.01586846262216568, 0.09002593159675598, -0.07785569876432419, -0.025645893067121506, -0.042304035276174545, -0.009086008183658123, 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Deli counter offering freshly prepared sandwiches and wraps.,"[-0.021945172920823097, -0.051468122750520706, -0.017339123412966728, -0.02840968780219555, 0.022512227296829224, -0.02448028326034546, 0.007219498977065086, 0.012125168927013874, -0.04692946374416351, 0.028192540630698204, -0.08302737772464752, -0.004279286600649357, 0.055080853402614594, -0.06276535987854004, -0.012344018556177616, -0.0017596149118617177, 0.04151374101638794, -0.007050232961773872, 0.0006333533674478531, 0.0021956406999379396, -0.019837405532598495, 0.011085543781518936, -0.04039435088634491, -0.0243996512144804, -0.061529453843832016, 0.010239669121801853, 0.014383758418262005, 0.055147044360637665, -0.07384155690670013, 0.015152759850025177, 0.0466691330075264, -0.006627802737057209, -0.0028954041190445423, 0.04165774956345558, -0.07734828442335129, -0.018931971862912178, 0.07325801998376846, -0.029931124299764633, -0.014753129333257675, 0.03929923102259636, 0.044585347175598145, -0.06075742468237877, 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Charming eatery serving sweet and savory crêpes with a variety of fillings.,"[-0.01475868746638298, -0.0002222861658083275, -0.020039914175868034, -0.03360569104552269, -0.06378699094057083, -0.006597768981009722, -0.04765627533197403, -0.023854319006204605, -0.014394677244126797, -0.012812375091016293, -0.05909057334065437, 0.001612174673937261, 0.016474077478051186, -0.012962696142494678, -0.01750270090997219, 0.01612556166946888, -0.0012032786617055535, -0.029859669506549835, -0.02926829271018505, 0.011028486303985119, 0.002744496101513505, -0.018300024792551994, -0.004115253686904907, -0.004563219379633665, -0.014147446490824223, -0.04009126499295235, -0.021279700100421906, 0.06510014832019806, -0.037157729268074036, 0.02441168762743473, 0.06957504898309708, -0.02700844779610634, 0.01838057115674019, -0.005266793072223663, -0.04612550511956215, 0.019295252859592438, 0.005608242470771074, -0.052087847143411636, -0.03328960761427879, -0.016308525577187538, 0.0636536031961441, 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Specialty tea shop offering loose leaf teas, tea blends, and tea accessories.","[0.005610817577689886, -0.03304116800427437, -0.0007925601094029844, -0.04126513749361038, 0.010714646428823471, 0.04969541355967522, -0.012079212814569473, 0.038299571722745895, -0.032518886029720306, 0.042860809713602066, 0.055453039705753326, 0.014026286080479622, 0.03535159304738045, -0.0363905243575573, 0.032832399010658264, -0.014158080331981182, 0.06037537753582001, 0.011974074877798557, -0.0351836159825325, -0.005615987814962864, 0.05436236783862114, 0.02535352297127247, 0.011097216978669167, 0.01602664403617382, 0.03089608997106552, -0.0441683828830719, -0.018023617565631866, -0.009980602189898491, -0.01612851768732071, 0.05237670615315437, 0.027326926589012146, -0.04895724356174469, 0.019719669595360756, 0.0273114200681448, -0.01930953748524189, -0.031028399243950844, 0.05557499825954437, -0.01699846237897873, -0.010665155947208405, 0.03998658061027527, 0.004729036241769791, -0.09746496379375458, 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Fast-casual restaurant serving authentic Thai dishes like pad thai and green curry.,"[-0.06426317989826202, -0.05523858591914177, 0.016811653971672058, -0.0468558706343174, 0.038355015218257904, -0.025919556617736816, 0.01478391420096159, 0.009911088272929192, -0.010677824728190899, -0.018215620890259743, -0.026431912556290627, 0.05309402197599411, -0.00802144967019558, -0.03267950192093849, 0.025418061763048172, 0.04395798221230507, -0.007161120884120464, 0.020182183012366295, -0.0182331670075655, -0.00012225762475281954, 0.004017137922346592, 0.03425486385822296, 0.018717683851718903, 0.0035439059138298035, -0.05057475343346596, 0.001245806342922151, 0.03081326186656952, 0.06133222207427025, -0.029236776754260063, 0.03250719606876373, 0.05971704050898552, -0.027859194204211235, 0.031327903270721436, -0.021619517356157303, -0.02840876206755638, -0.01777101866900921, 0.03289196267724037, -0.015524069778621197, -0.039989154785871506, -0.00927323754876852, 0.019514508545398712, 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British lifestyle brand offering natural toiletries, fragrances, and gifts.","[0.02303994446992874, -0.07299812138080597, -0.0033293345477432013, -0.02727130614221096, -0.009213206358253956, -0.004440224263817072, -0.07464475929737091, 0.04848037287592888, -0.03154218569397926, 0.05879787355661392, -0.014071131125092506, -0.06176106259226799, 0.011957533657550812, 0.005081023555248976, -0.030537940561771393, 0.0016392923425883055, 0.04873320460319519, 0.02002846822142601, 0.01812741346657276, 0.014913428574800491, 0.05391876772046089, 0.06880459189414978, -0.026920318603515625, 0.048830222338438034, 0.0832720398902893, -0.006924133747816086, -0.027176976203918457, 0.01212227065116167, -0.019534189254045486, -0.010098633356392384, 0.06452083587646484, -0.0044198064133524895, 0.04499546438455582, 0.02578011341392994, -0.010186937637627125, 0.024642636999487877, 0.0838075652718544, -0.06965477764606476, 0.018601426854729652, -0.0066734603606164455, 0.025558235123753548, 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Interactive touch-screen kiosk providing flight information, airport maps, and other helpful resources.","[-0.004712902475148439, 0.004291327204555273, -0.004487546160817146, -0.06242983788251877, 0.018833445385098457, -0.00901675783097744, -0.005287377629429102, -0.003955177962779999, -0.006655560340732336, 0.016637124121189117, -0.016176415607333183, -0.03857839107513428, 0.05083604156970978, -0.014411745592951775, 0.02988138422369957, 0.0026673839893192053, 0.09112925082445145, -0.028468728065490723, 0.02691194787621498, -0.04548650607466698, -0.02688559517264366, 0.006307000759989023, -0.03015279211103916, 0.012106756679713726, 0.023705979809165, -0.07428416609764099, -0.002334324410185218, 0.001025989418849349, -0.007017306052148342, 0.015358558855950832, 0.07577452808618546, -0.03301585093140602, 0.008594541810452938, -0.003804635489359498, -0.004822764545679092, 0.010912282392382622, 0.0483662411570549, 0.0023194781970232725, 0.05604394152760506, -0.05495273694396019, 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Retailer specializing in travel tech accessories like headphones, chargers, and portable power banks.","[-0.007175041828304529, -0.01870003342628479, -0.07753491401672363, 0.022046955302357674, -0.0017566396854817867, 0.004828047938644886, 0.029554199427366257, -0.021515775471925735, 0.013202921487390995, -0.017102450132369995, 0.001383557333610952, -0.017539016902446747, -0.02069319412112236, -0.05254330486059189, 0.07219118624925613, -0.040025196969509125, 0.08805477619171143, -0.02385692484676838, -0.008590375073254108, -0.028577571734786034, -0.008264306001365185, 0.06673029810190201, -0.024995341897010803, -0.018564334139227867, 0.023012464866042137, -0.038559552282094955, -0.0031883998308330774, 0.027066856622695923, -0.030806636437773705, 0.07110461592674255, 0.059742141515016556, -0.050862397998571396, -0.02034255675971508, -0.016442473977804184, -0.03265899792313576, -0.038597289472818375, 0.005808580666780472, -0.0014635911211371422, -0.04347963631153107, 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0.019461970776319504, 0.020752865821123123, 0.03253655508160591, 0.01473479438573122, -0.024013271555304527, 0.007803255692124367, -0.08584926277399063, -0.03113722987473011]" -85,Homebaked,"Bakery offering fresh pastries, cakes, and breads.",Gate D12,Terminal 1,restaurant,Daily 6:00 am-8:00 pm,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,"Homebaked is a restaurant. Bakery offering fresh pastries, cakes, and breads.","[-0.056724563241004944, -0.0581081323325634, -0.028285512700676918, -0.0012265363475307822, -0.04876885563135147, -0.041132211685180664, -0.028348634019494057, 0.02239190600812435, 0.007991258054971695, 0.011454837396740913, -0.004174759611487389, -0.00808008387684822, 0.00405804393813014, -0.09438001364469528, 0.0044530900195240974, -0.02528650499880314, -0.012047309428453445, 0.014949922449886799, -0.020875578746199608, 0.028559768572449684, 0.061278339475393295, -0.029054630547761917, -0.06445331126451492, -0.015776559710502625, -0.0657474473118782, -0.017422884702682495, -0.025513935834169388, 0.06798229366540909, -0.011802774854004383, 0.0658908411860466, 0.05396232753992081, -0.023256834596395493, 0.027487775310873985, 0.028118247166275978, -0.05826201289892197, -0.002653090050444007, 0.02716650441288948, -0.006681033410131931, -0.06529231369495392, -0.00578521192073822, 0.0007919450290501118, -0.028929540887475014, 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Healthy fast-casual restaurant with custom salads, wraps, and bowls.","[-0.0058268094435334206, -0.07535348832607269, -0.02628307230770588, -0.05017645284533501, 0.0030472436919808388, -0.03310965374112129, -0.00869079865515232, 0.00938631221652031, -0.04829912632703781, 0.04134533926844597, -0.006096054799854755, -0.010884508490562439, -0.015101944096386433, -0.05072968080639839, 0.027459634467959404, 0.03139161691069603, -2.2584008547710255e-05, -0.020722685381770134, -0.02481580339372158, 0.01650564931333065, -0.029498480260372162, -0.08661075681447983, 0.0073370561003685, 0.011947979219257832, -0.03952305018901825, -0.015369382686913013, 0.03328540548682213, 0.042635899037122726, -0.04407799243927002, 0.09474318474531174, 0.04420757293701172, -0.041892461478710175, 0.008037850260734558, -0.03867284208536148, -0.05909569561481476, 0.01919684372842312, 0.058301009237766266, 0.01055012084543705, -0.023288045078516006, -0.025287041440606117, 0.035849638283252716, -0.08184240013360977, 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Stationery and gift shop offering a curated selection of notebooks, pens, and travel accessories.","[0.06722446531057358, -0.01369453500956297, -0.0348992757499218, -0.022993013262748718, -0.028808755800127983, 0.014236921444535255, 0.03265392780303955, 0.0006989301182329655, -0.020163346081972122, 0.03680108115077019, 0.01164835225790739, -0.01958310604095459, -0.020350966602563858, -0.021922120824456215, 0.014852968975901604, -0.019946180284023285, 0.11134429275989532, -0.009632212109863758, -0.006954206619411707, 0.0022323066368699074, 0.07234664261341095, 0.045129816979169846, 0.023059574887156487, 0.023869741708040237, 0.01837915927171707, -0.03919075056910515, -0.03920350223779678, 0.04282382130622864, -0.00029019260546192527, 0.03157871589064598, 0.03819941356778145, -0.033802613615989685, 0.03678736090660095, 0.007449021562933922, -0.006984776817262173, 0.0048491680063307285, 0.0373983234167099, -0.0200996994972229, 0.03722292557358742, -0.01626671478152275, 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Convenience store offering necessities like travel size toiletries, medications, and headphones.","[0.0073060025461018085, -0.02206827513873577, -0.03045566752552986, -0.005944038275629282, 0.028104029595851898, 0.0025521761272102594, 0.05289272964000702, 0.006803273689001799, -0.012286256067454815, 0.0086600286886096, -0.004926552530378103, 0.00021195395675022155, 0.027225933969020844, -0.026181213557720184, 0.037548694759607315, -0.00911150686442852, 0.05703861638903618, -0.02846706472337246, 0.01760164648294449, -0.006673815194517374, 0.01510034129023552, 0.09316845238208771, 0.004474352579563856, -0.010255265980958939, 0.0018974043196067214, -0.016578564420342445, -0.0037924605421721935, 0.03026096150279045, -0.03705891966819763, 0.026954717934131622, 0.03350318223237991, -0.03403710946440697, 0.029636472463607788, -0.02798936888575554, -0.04446335881948471, -0.003258067648857832, 0.046806156635284424, -0.026850644499063492, -0.047720134258270264, -0.0500461645424366, 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Independent bookstore specializing in fiction, travel guides, and children's books.","[0.01433509774506092, 0.0023698313161730766, -0.03257372975349426, -0.011724979616701603, -0.024039091542363167, 0.00918224360793829, -0.015316694974899292, 0.010589244775474072, -0.03848600760102272, 0.024192821234464645, -0.00883534550666809, -0.09102413058280945, 0.013592362403869629, -0.027132734656333923, 0.002268171636387706, -0.02386932447552681, 0.07292576134204865, -0.022585641592741013, -0.06592720001935959, 0.011744627729058266, -0.01803371123969555, 0.03005818836390972, -0.04361440986394882, 0.049924496561288834, 0.00030972034437581897, -0.0542372427880764, -0.03699039667844772, 0.04621773958206177, 0.006229109596461058, 0.0005112041835673153, 0.014205408282577991, -0.07854168117046356, 0.026129454374313354, 0.04840516299009323, -0.0375552736222744, -0.029496798291802406, 0.049232590943574905, -0.01870163343846798, 0.010975291952490807, 0.0398077555000782, 0.016936901956796646, 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Shop selling yoga apparel, equipment, and accessories.","[0.042583998292684555, -0.005852987058460712, 0.00442009512335062, 0.004344294313341379, -0.003981489688158035, 0.05368339270353317, 0.006678266450762749, -0.006330310367047787, -0.028712904080748558, 0.03865497186779976, 0.008947123773396015, -0.018242085352540016, 0.0038445815443992615, -0.05812401697039604, 0.02712465077638626, -0.023500528186559677, 0.003722558030858636, -0.024111775681376457, 0.002405407140031457, -0.0064176879823207855, -0.026131832972168922, 0.05788639932870865, 0.006925488356500864, 0.005694160703569651, -0.00653538852930069, 0.005348511505872011, -0.014001536183059216, -0.011977657675743103, -0.04645915701985359, 0.014093591831624508, 0.017664220184087753, -0.058583345264196396, -0.008354155346751213, -0.04659911245107651, -0.007050883956253529, -0.02580132521688938, 0.041194669902324677, 0.025277741253376007, 0.026940422132611275, 0.012017280794680119, 0.008310332894325256, -0.09832561761140823, 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A quiet space for stretching, relaxation, and meditation","[-0.010236782021820545, -0.021156206727027893, -0.0077024283818900585, -0.05174718424677849, 0.028869030997157097, 0.03222563862800598, -0.01628592424094677, -0.014105560258030891, -0.05498623475432396, -0.0030023877043277025, -0.014330575242638588, -0.0009828987531363964, 0.030577724799513817, -0.06417924165725708, 0.023985495790839195, -0.0036827041767537594, 0.009493217803537846, -0.02232004888355732, -0.013491851277649403, -0.0006975964060984552, -0.015150470659136772, -0.0015227517578750849, -0.017344137653708458, 0.0037506117951124907, 0.017504990100860596, 0.0012372502824291587, -0.015767375007271767, -0.06095580384135246, -0.01180353295058012, -0.009378371760249138, 0.055138662457466125, -0.001241059391759336, -0.0069443536922335625, -0.023336337879300117, 0.019900912418961525, 0.001279914053156972, 0.041017867624759674, 0.03052791766822338, 0.016082841902971268, -0.00834355503320694, -0.008424200117588043, 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Upscale bar with craft cocktails and gourmet bites,"[0.0016749391797930002, 0.024213233962655067, -0.010048202238976955, -0.06552645564079285, -0.005762165412306786, 0.02976067177951336, 0.011523090302944183, 0.02433263324201107, -0.053871072828769684, 0.006942901760339737, -0.04163696989417076, 0.03400193899869919, 0.05248447135090828, -0.030727867037057877, -0.05374135822057724, 0.00970316119492054, 0.0406167171895504, -0.0320526547729969, 0.029402421787381172, -0.014503519050776958, -0.0007829087553545833, -0.022548090666532516, -0.005292615853250027, 0.0028736272361129522, -0.010836517438292503, 0.01504291407763958, -0.012632130645215511, 0.062571682035923, -0.03410236909985542, 0.07731038331985474, 0.06841572374105453, -0.004522477276623249, -0.012896855361759663, -0.002163875149562955, -0.0016435858560726047, 0.013045473024249077, -0.027719646692276, -0.04345429316163063, 0.02950049750506878, 0.04763346537947655, 0.018474146723747253, -0.09423305094242096, -0.13330380618572235, 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Quiet space for prayer, reflection, and meditation","[-0.04972265288233757, 0.006932878866791725, -0.009996045380830765, -0.08609946817159653, 0.027764344587922096, 0.014569408260285854, -0.04548311606049538, -0.00598642323166132, -0.059568166732788086, -0.0217753853648901, -0.0034961060155183077, -0.027892068028450012, 0.021319350227713585, -0.037268754094839096, -0.02458481304347515, 0.00367895420640707, 0.03327864781022072, 0.027478186413645744, 0.034322455525398254, -0.029302824288606644, -0.007229538634419441, -0.02986251749098301, 0.000598112412262708, -0.03263673186302185, 0.043501049280166626, -0.04939080402255058, -0.029922688379883766, -0.05004863440990448, -0.03334749490022659, -0.027468858286738396, 0.047029078006744385, -0.01041837502270937, -0.010461093857884407, -0.028116878122091293, -0.024901362136006355, 0.024569621309638023, 0.06937459856271744, 0.046025123447179794, -0.010190382599830627, 0.053581204265356064, -0.0010128333233296871, -0.022584248334169388, 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-0.01813402585685253, 0.05518718436360359, 0.07064677774906158, -0.008103327825665474, 0.03376763314008713, 0.0052615925669670105, 0.033516187220811844, -0.044418442994356155, -0.0390729196369648, -0.021428074687719345, 0.00867027509957552]" -105,Johnnie Walker Lounge,Whiskey-focused lounge with tastings and food,Near Gate C2,Terminal 2,restaurant,Daily 11:00 am - 9:00 pm,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,Johnnie Walker Lounge is a restaurant. 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Large selection of sunglasses and travel accessories,"[0.04665598273277283, -0.046681102365255356, -0.019966837018728256, -0.013266024179756641, -0.016906186938285828, 0.017040984705090523, 0.04600480943918228, -0.031863268464803696, -0.046155333518981934, 0.020602945238351822, -0.002603883622214198, -0.043753642588853836, 0.030201688408851624, 0.0003004833706654608, 0.01382612157613039, 0.01817190833389759, 0.06791874766349792, -0.046515438705682755, -0.01249776966869831, -0.008208531886339188, 0.006350213196128607, 0.07501442730426788, -0.010219654999673367, -0.020903488621115685, 0.020286520943045616, -0.013099398463964462, 7.705560710746795e-05, 0.01343355979770422, -0.05791294574737549, 0.023774629458785057, 0.016341770067811012, -0.06800851970911026, 0.04146917164325714, -0.016551373526453972, -0.06472274661064148, -0.012046726420521736, 0.04522744193673134, -0.029247205704450607, 0.02447640150785446, -0.037352681159973145, 0.01375427097082138, -0.1311762034893036, 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Featuring wines by the glass, tasting flights, and small plates","[-0.005045413505285978, -0.01839749701321125, -0.006484264507889748, -0.034216124564409256, 0.0005985629977658391, 0.006136746145784855, 0.034882910549640656, 0.04756617546081543, -0.0723443403840065, 0.0549139641225338, -0.04277472943067551, -0.0029371280688792467, 0.0519515797495842, -0.052332181483507156, -0.022266551852226257, 0.004436897113919258, 0.0312650129199028, -0.023586973547935486, -0.038869939744472504, -0.02114954963326454, -0.0062120272777974606, -0.054540958255529404, -0.039198391139507294, -0.012555080465972424, -0.04733535647392273, -0.02599143423140049, -0.053776469081640244, 0.0630858913064003, 0.03497945889830589, 0.03845057263970375, 0.03585689887404442, -0.0022401597816497087, -0.016186557710170746, 0.024779396131634712, -0.023429246619343758, 0.009834736585617065, 0.04662458971142769, -0.03186407312750816, -0.04790102317929268, 0.0671701654791832, 0.025952046737074852, -0.07285454869270325, 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On-site repair for damaged luggage and travel gear,"[0.045830946415662766, -0.027839409187436104, 0.03193923085927963, -0.028363769873976707, 0.011475758627057076, -0.005196209531277418, -0.012166942469775677, -0.032399650663137436, -0.02825120836496353, 0.014317788183689117, -0.0008516052621416748, -0.057228852063417435, -0.0009588905377313495, -0.025758972391486168, 0.016708891838788986, -0.012776530347764492, 0.08568187803030014, -0.061116717755794525, 0.007596551440656185, -0.01955023966729641, 0.0008081047562882304, 0.014235966838896275, 0.023727107793092728, -0.02779323421418667, -0.03067738376557827, -0.03710320219397545, -0.012511875480413437, -0.020261341705918312, -0.02760607749223709, 0.005061209201812744, 0.0151656623929739, -0.11121565848588943, 0.03165825083851814, -0.003170217154547572, -0.01214829832315445, -0.001352082472294569, 0.020643694326281548, -0.03281952068209648, 0.05305548012256622, -0.029037147760391235, 0.011464775539934635, -0.08889742195606232, 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Phone repair, accessory sales, and tech troubleshooting","[0.00445278687402606, -0.015223400667309761, -0.049077436327934265, -0.03433508053421974, -0.029039431363344193, 0.02497979812324047, 0.040649667382240295, -0.02095763199031353, -0.01645979844033718, -0.03662751242518425, 0.010658899322152138, -0.03337874263525009, -0.006424007471650839, -0.0649210587143898, 0.04977397620677948, -0.01975731924176216, 0.0670720785856247, -0.04479693993926048, -0.016038069501519203, -0.014651359058916569, 0.014020188711583614, -0.008901447057723999, 0.005978361703455448, -0.002201728755608201, -0.030731631442904472, -0.06434614211320877, -0.02793290838599205, 0.03620901331305504, -0.0467723086476326, 0.06917376071214676, 0.06342554837465286, -0.048413652926683426, -0.021187812089920044, 0.013215560466051102, -0.01914820447564125, -0.010505800135433674, 0.022413434460759163, 0.008245628327131271, -0.011432160623371601, -0.06548001617193222, 0.03207431733608246, -0.09945773333311081, 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Featuring specialty coffee from local roasters,"[-0.031040282920002937, -0.032319970428943634, -0.011213989928364754, -0.02136002480983734, -0.03173494338989258, -0.005016373936086893, -0.058832958340644836, 0.013145237229764462, -0.031064946204423904, -0.024647055193781853, 0.00420761201530695, 0.0017847632989287376, -0.01343768835067749, -0.0325097031891346, 0.011479814536869526, -0.020259398967027664, -0.03715524449944496, -0.003985172603279352, -0.018739808350801468, -0.026215648278594017, -0.007645688485354185, -0.05760791897773743, 0.0065027824603021145, -0.004636178724467754, -0.0488208569586277, -0.05463099852204323, 0.01203994546085596, 0.06615540385246277, 0.020580405369400978, 0.05195806175470352, 0.02276560850441456, -0.03405771404504776, 0.025820452719926834, 0.033553916960954666, -0.046329569071531296, -0.01076893787831068, 0.02285821922123432, 0.0032073985785245895, -0.03215948864817619, -0.00040291561163030565, -0.028240736573934555, -0.05721474066376686, 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Spirits, wines, and liquors at duty-free prices","[0.028623150661587715, -0.07850699871778488, -0.013746500015258789, -0.03319348022341728, -0.02420039474964142, 0.03816702961921692, 0.05446912720799446, 0.037867702543735504, -0.04964607581496239, -0.008784916251897812, -0.0077001857571303844, -0.04657747969031334, 0.0013102046214044094, 0.018593689426779747, -0.04191826283931732, -0.03783215209841728, 0.11348453909158707, -0.0461902879178524, -0.028520183637738228, 0.022304147481918335, 0.03013475425541401, 0.004856947809457779, -0.011419115588068962, 0.007933164946734905, -0.007181743159890175, -0.008243541233241558, -0.0465858057141304, 0.03166138380765915, 0.020744649693369865, 0.02239346317946911, 0.053889889270067215, -0.07182471454143524, 0.10615881532430649, -0.0038316845893859863, -0.027933035045862198, 0.0029959226958453655, 0.023216266185045242, -0.010442988947033882, -0.00810546986758709, -0.003980819135904312, 0.04068560525774956, -0.11817875504493713, 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Fresh sushi, rolls, and an extensive sake selection","[0.028124863281846046, -0.023640161380171776, -0.018177077174186707, -0.022835833951830864, -0.05951511859893799, 0.0326736681163311, 0.01695038564503193, 0.011927379295229912, -0.06708682328462601, 0.03342856839299202, -0.02360287494957447, 0.0016758035635575652, 0.024765262380242348, -0.07163332402706146, -0.0046436721459031105, -0.003950080834329128, 0.029929377138614655, -0.03635769337415695, -0.0050359140150249004, -0.059237509965896606, 0.009759464301168919, -0.027037037536501884, 0.01725919358432293, -0.041116826236248016, -0.0016856809379532933, -0.07135509699583054, 0.00608246261253953, 0.08043745905160904, -0.009607922285795212, 0.03743315860629082, 0.05676005035638809, -0.03881548345088959, 0.03416818380355835, 0.008137932978570461, -0.03340351581573486, -0.020885050296783447, 0.047260988503694534, -0.010114148259162903, -0.006027243100106716, 0.010515962727367878, 0.034867968410253525, -0.09578695893287659, 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Classic and modern arcade games for all ages,"[0.013920264318585396, 0.0018224299419671297, -0.00794709287583828, -0.06657912582159042, -0.0032760179601609707, 0.017196951434016228, 0.04662960767745972, 0.0012828536564484239, -0.049351852387189865, 0.02049015276134014, 0.0027537555433809757, -0.007052617147564888, 0.02287440188229084, -0.015821700915694237, 0.035615917295217514, 0.04068838432431221, 0.03439353406429291, -0.00030920226708985865, 0.00552082946524024, -0.061420369893312454, 0.03441343829035759, 0.04772372171282768, -0.02845834568142891, -0.023032434284687042, -0.01220508199185133, -0.021647170186042786, -0.02081618458032608, 0.02123197354376316, -0.02913426235318184, -0.051119811832904816, 0.07591555267572403, -0.011442352086305618, 0.02783173695206642, -0.012971298769116402, -0.04049478843808174, -0.021897032856941223, -0.0342949815094471, -0.020167257636785507, 0.052615564316511154, 0.017714982852339745, 0.06930278241634369, -0.08726295083761215, -0.027227001264691353, 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Grab-and-go salads, sandwiches, and healthy snacks","[-0.03657694533467293, -0.06351309269666672, -0.010301723144948483, -0.0069720931351184845, 0.03795460984110832, -0.03980918228626251, -0.0016245952574536204, 0.010938477702438831, -0.03900361806154251, 0.040489986538887024, 0.004018851090222597, -0.01816200651228428, 0.0015187433455139399, -0.055512282997369766, 0.008323980495333672, 0.03744865953922272, 0.005977659486234188, -0.025328630581498146, -0.04061025008559227, -0.010389208793640137, 0.019123410806059837, -0.027948318049311638, -0.029881849884986877, -0.010324837639927864, -0.06303573399782181, -0.0014122843276709318, 0.012087750248610973, 0.05070898309350014, -0.047688718885183334, 0.05046958103775978, 0.04476999491453171, -0.018558349460363388, 0.00885832030326128, -0.008362863212823868, -0.0434209406375885, 0.00606080237776041, 0.09168814867734909, -0.023910628631711006, -0.055742666125297546, -0.028397276997566223, -0.003536467906087637, -0.06138637289404869, 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2,shop,Daily 9:00 am - 7:00 pm,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,Electronics Store 145 is a shop. 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-0.012105406261980534, -0.0015815794467926025, -0.008407026529312134]" +3,Clothing Store 487,Selling clothing.,Near Gate A19,Terminal 4,shop,Daily 9:00 am - 9:00 pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,Clothing Store 487 is a shop. 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2,restaurant,Daily 11:00 am - 11:00 pm,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,Bar & Grill 916 is a restaurant. Serving Mexican cuisine.,"[-0.0066907769069075584, 0.007829137146472931, -0.012060252018272877, -0.051691457629203796, -0.008849776349961758, -0.0037434801924973726, -0.010121716186404228, 0.0046526300720870495, -0.005132145248353481, 0.001696107559837401, -0.0008337046601809561, 0.0006400513811968267, 0.002720487769693136, 0.023656800389289856, 0.12422356009483337, -0.008269906044006348, -0.007043344900012016, -0.013675691559910774, 0.005307846236974001, 0.007036383263766766, -0.0011289261747151613, -0.026821846142411232, 0.019145339727401733, 0.017068281769752502, -0.017874864861369133, 0.016026031225919724, 0.019341180101037025, 0.000880192790646106, 0.00878165289759636, 0.008015615865588188, 0.004312245175242424, 0.006039345636963844, 0.016997700557112694, 0.005988893564790487, 0.007224836386740208, 0.0014108112081885338, -0.017754333093762398, 0.0018273552414029837, -0.013258740305900574, -0.004153555259108543, -0.01014960277825594, 0.007891942746937275, -0.024586979299783707, 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+9,Hawaii Coffee Store,Serving authentic hawaiian coffee.,Near Gate E2,Terminal 3,restaurant,Daily 7:00 am - 11:00 pm,07:00:00,23:00:00,07:00:00,23:00:00,07:00:00,23:00:00,07:00:00,23:00:00,07:00:00,23:00:00,07:00:00,23:00:00,07:00:00,23:00:00,Hawaii Coffee Store is a restaurant. Serving authentic hawaiian coffee.,"[-0.0209374837577343, 0.012162234634160995, 0.011183362454175949, -0.07364805787801743, -0.0077598257921636105, -0.007874565199017525, -0.007557583041489124, 0.0016601454699411988, 0.0030822092667222023, -0.010889324359595776, 0.014294653199613094, 0.006064136512577534, 0.00863411370664835, 0.03077095001935959, 0.126122385263443, 0.006236499175429344, -0.0061197783797979355, -0.020549649372696877, 0.02406328357756138, -0.022221118211746216, -0.014800415374338627, -0.009293819777667522, 0.035667791962623596, -0.006642856169492006, 0.0005750497803092003, -0.014539051800966263, 0.014733400195837021, 0.022774510085582733, 0.013014049269258976, 0.0022175523918122053, -0.012845281511545181, 0.009655258618295193, -0.0012178239412605762, 0.024356067180633545, 0.014046204276382923, 0.017764804884791374, 0.008377661928534508, -0.017384130507707596, -0.014416870661079884, -0.026155048981308937, -0.011264191940426826, 0.010789081454277039, -0.016070274636149406, 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essentials.,Near Gate D17,Terminal 4,shop,Daily 9:00 am - 9:00 pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,Travel Essentials Store 352 is a shop. Selling travel essentials.,"[-0.026941392570734024, -0.015108437277376652, 0.01748940907418728, -0.06738556176424026, -0.011501249857246876, 0.0020770225673913956, 0.010621284134685993, -0.00043781206477433443, -0.00283975712954998, 0.001539544784463942, -0.026882916688919067, 0.006118739955127239, 0.007596912328153849, 0.03289895877242088, 0.12450406700372696, -0.004830111283808947, -0.005413350649178028, -0.004484445322304964, 0.02203412540256977, -0.009241453371942043, -0.007318010553717613, 0.012348650023341179, 0.0011992274085059762, -0.0290820375084877, -0.0011475670617073774, 0.012251361273229122, 0.02676132321357727, 0.02380887046456337, 0.0038053360767662525, 0.014629115350544453, 0.02393973618745804, 0.023495031520724297, 0.008597015403211117, 0.020073235034942627, 0.006766900885850191, 0.005453342571854591, 0.017895720899105072, -0.01831422932446003, -0.022350871935486794, -0.002711038338020444, 0.004997231997549534, -0.003280359786003828, -0.0006781975971534848, 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Gate D14,Terminal 3,restaurant,Daily 11:00 am - 9:00 pm,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,Sit-Down Restaurant 563 is a restaurant. Serving Italian cuisine.,"[-0.007085671182721853, 0.00030868459725752473, -0.010603378526866436, -0.0547848716378212, -0.027156230062246323, -0.008702749386429787, -0.017612295225262642, 0.009794323705136776, -0.00011351778084645048, 0.01333052571862936, -0.004938638303428888, 0.010175534524023533, 0.003203254658728838, 0.023621758446097374, 0.1203818991780281, -0.018911710008978844, -0.00031265694997273386, -0.013628576882183552, 0.019462784752249718, -0.018297670409083366, -0.022015810012817383, -0.020899897441267967, 0.0007677556714043021, -0.01119346171617508, 0.009990092366933823, 0.00788741372525692, 0.010435723699629307, 0.01466507837176323, 0.039005346596241, 0.03679971769452095, 0.018345000222325325, 0.008370480500161648, -0.004766609985381365, 0.03678865730762482, 0.012925960123538971, 0.03586247190833092, 0.009993480518460274, -0.014560321345925331, 0.0007396155269816518, -0.011874922551214695, -0.014703331515192986, 0.011198427528142929, -0.016436433419585228, 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pm,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,Shop 971 is a shop. 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Gate B4,Terminal 1,shop,Daily 9:00 am - 7:00 pm,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,Electronics Store 642 is a shop. 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-0.015116026625037193]" +17,Bar & Grill 301,Serving Asian cuisine.,Near Gate E6,Terminal 2,restaurant,Daily 11:00 am - 11:00 pm,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,Bar & Grill 301 is a restaurant. 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pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,Travel Essentials Store 265 is a shop. 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3,restaurant,Daily 11:00 am - 9:00 pm,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,Sit-Down Restaurant 458 is a restaurant. Serving American cuisine.,"[-0.014906549826264381, -0.013432576321065426, -0.0015657775802537799, -0.07698047161102295, -0.021845504641532898, -0.010555397719144821, -0.007674357388168573, -0.0006679646903648973, -0.011861550621688366, 0.019078971818089485, -0.013128375634551048, 0.011285392567515373, -0.008674544282257557, 0.01912623643875122, 0.11021420359611511, -0.022554224357008934, 0.0064425175078213215, -0.002036626683548093, -0.008577385917305946, -0.0015543984482064843, -0.007999623194336891, -0.02649337612092495, 0.030718408524990082, -0.002141718752682209, 0.021384717896580696, 0.012502715922892094, 0.012027539312839508, 0.009018834680318832, 0.03220927715301514, 0.022048097103834152, 0.0038052385207265615, 0.007250476628541946, 0.0032864210661500692, 0.028836535289883614, 0.0016450966941192746, 0.030525801703333855, 0.008552012033760548, -0.004798345733433962, -0.011931193061172962, -0.009631319902837276, -0.023317677900195122, 0.0076438975520431995, -0.023104162886738777, 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pm,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,Shop 692 is a shop. 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Serving Italian cuisine.,"[-0.017507364973425865, -0.003138731699436903, 0.005300659686326981, -0.07119965553283691, -0.04516366496682167, -0.008741176687180996, -0.021377839148044586, 0.018670503050088882, 0.009059528820216656, -0.006157412193715572, 0.001830826629884541, 0.014441060833632946, 0.01362705696374178, 0.013130909763276577, 0.13133904337882996, -0.004529106896370649, -0.005337168928235769, -0.012247187085449696, 0.008897669613361359, -0.02184072509407997, -0.00346805970184505, -0.018618309870362282, 0.031747475266456604, 0.020038830116391182, 0.0026536190416663885, -0.006896533537656069, 0.0002154829417122528, 0.037930723279714584, 0.011952603235840797, 0.021824751049280167, 0.018584301695227623, 0.011632123962044716, 0.0016761828446760774, 0.02671017311513424, 0.00669065210968256, 0.010820415802299976, 0.004433546215295792, -0.01933491975069046, -0.014891847036778927, -0.013894754461944103, -0.019295180216431618, 0.01451913546770811, -0.008340616710484028, 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3,shop,Daily 8:00 am - 10:00 pm,08:00:00,22:00:00,08:00:00,22:00:00,08:00:00,22:00:00,08:00:00,22:00:00,08:00:00,22:00:00,08:00:00,22:00:00,08:00:00,22:00:00,Electronics Store 520 is a shop. Selling electronics,"[-0.012706642039120197, -0.008748750202357769, 0.01750507578253746, -0.07911134511232376, -0.00804501585662365, 0.007897766306996346, 0.012136891484260559, -0.011065896600484848, 0.009469429962337017, 0.0012877725530415773, -0.029103655368089676, -0.001783816609531641, 0.01029625628143549, 0.018697794526815414, 0.13284680247306824, -0.0031392695382237434, -0.0021627144888043404, -0.014277479611337185, 0.017495466396212578, 0.004183933604508638, -0.012533368542790413, 0.002246559364721179, 0.002502803225070238, -0.032361872494220734, -0.021127449348568916, -0.010071723721921444, 0.009652157314121723, 0.017564676702022552, 0.030138175934553146, -0.0021635841112583876, 0.0041640279814600945, 0.012886927463114262, 0.009442831389605999, 0.02004477195441723, 0.0037165412213653326, -0.0009960508905351162, 0.023801784962415695, -0.013999574817717075, -0.0067086308263242245, -0.009888063184916973, -0.012333143502473831, -0.00011509203613968566, 0.008158581331372261, 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aviation-themed decor serving American classics and bar fare.,Food Court Gate C3,Terminal 1,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,Flight Deck Bar & Grill is a restaurant. Casual restaurant with aviation-themed decor serving American classics and bar fare.,"[-0.007373287808150053, 0.005052085500210524, -0.0033535745460540056, -0.07716109603643417, -0.026310691609978676, 0.003277708776295185, -0.015792548656463623, -0.01077228132635355, 0.015011758543550968, 0.008861229754984379, -0.0014211359666660428, -0.011644918471574783, -0.00415048748254776, 0.014800868928432465, 0.09520925581455231, -0.007501875516027212, 0.012327664531767368, -0.022740941494703293, 0.014575585722923279, -8.46033581183292e-05, -0.014508960768580437, -0.010790380649268627, 0.02035052701830864, 0.003940953873097897, 0.009040634147822857, 0.002841535722836852, 0.023990975692868233, 0.010705831460654736, 0.008473368361592293, 0.02496800199151039, 0.015087444335222244, 0.012107727117836475, 0.0062512983568012714, 0.021882403641939163, -0.008409617468714714, -0.0007605699356645346, -0.0023343765642493963, 0.00308099458925426, -0.008117923513054848, -0.0010956564219668508, 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chain serving hot and cold beverages, pastries, and sandwiches.",Pre-Security,All Terminals,restaurant,Daily 5:00 am - 10:00 pm,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,"Starbucks Coffee is a restaurant. International coffeehouse chain serving hot and cold beverages, pastries, and sandwiches.","[-0.02808305434882641, 0.030369656160473824, 0.017439832910895348, -0.07383500039577484, -0.011743421666324139, 0.005151188932359219, -0.0034634985495358706, 0.026950111612677574, 0.01588911935687065, -0.0016259709373116493, 0.011380751617252827, 0.01766621321439743, 0.009422365576028824, 0.011195956729352474, 0.12684136629104614, -0.011040917597711086, -0.008363255299627781, -0.018315812572836876, 0.011110895313322544, -0.031327273696660995, -0.004019009415060282, -0.01135551929473877, 0.01729399338364601, 0.0009990291437134147, -0.004989515524357557, -0.031045280396938324, -0.00023392029106616974, 0.025109659880399704, 0.027538960799574852, 0.009118529967963696, 0.002728703897446394, -0.019650544971227646, 0.0046321735717356205, 0.03659110143780708, 0.006995765026658773, 0.014193943701684475, 0.007239595055580139, -0.02344622276723385, -0.015990277752280235, -0.025699641555547714, 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International coffeehouse chain serving hot and cold beverages, pastries, and sandwiches.","[-0.02808305434882641, 0.030369656160473824, 0.017439832910895348, -0.07383500039577484, -0.011743421666324139, 0.005151188932359219, -0.0034634985495358706, 0.026950111612677574, 0.01588911935687065, -0.0016259709373116493, 0.011380751617252827, 0.01766621321439743, 0.009422365576028824, 0.011195956729352474, 0.12684136629104614, -0.011040917597711086, -0.008363255299627781, -0.018315812572836876, 0.011110895313322544, -0.031327273696660995, -0.004019009415060282, -0.01135551929473877, 0.01729399338364601, 0.0009990291437134147, -0.004989515524357557, -0.031045280396938324, -0.00023392029106616974, 0.025109659880399704, 0.027538960799574852, 0.009118529967963696, 0.002728703897446394, -0.019650544971227646, 0.0046321735717356205, 0.03659110143780708, 0.006995765026658773, 0.014193943701684475, 0.007239595055580139, -0.02344622276723385, -0.015990277752280235, -0.025699641555547714, 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Convenience store offering snacks, drinks, magazines, and travel essentials.","[-0.028319546952843666, -0.021353252232074738, 0.014927885495126247, -0.08157998323440552, -0.004513527266681194, -0.009434833191335201, 0.0009762430563569069, 0.006207234691828489, 0.002033327938988805, -0.028030434623360634, -0.004227580036967993, 0.008881988003849983, -0.0019239765824750066, 0.019660012796521187, 0.11327104270458221, -0.019949564710259438, 0.007859468460083008, -0.03795190155506134, 0.0070971897803246975, -0.008721467107534409, -0.027115149423480034, -0.012389827519655228, 0.009554180316627026, -0.007488849572837353, -0.017117956653237343, 0.0003735110512934625, 0.019542085006833076, 0.030562300235033035, -0.010797233320772648, 0.010514636524021626, 0.014902325347065926, 0.023446304723620415, 0.004405823536217213, 0.03794721141457558, 5.832443093822803e-06, 0.002983114682137966, 0.01887638121843338, -0.00897889118641615, 0.004365087021142244, -0.03157276287674904, -0.0023665011394768953, 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relaxation.",Near Gate B19,Terminal 3,facility,Daily 7:00 am-8:00 pm,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,"Airport Yoga Studio is a facility. Studio offering yoga classes for all levels, including pre-flight stretches and relaxation.","[-0.0008909099851734936, -0.010032398626208305, 0.0003987972449976951, -0.06468142569065094, -0.0011496823281049728, -0.008983456529676914, -0.021912015974521637, 0.032819028943777084, 0.013762650080025196, 0.01989542692899704, -0.017242293804883957, -0.011417374014854431, 0.013193819671869278, 0.030472498387098312, 0.12780609726905823, -0.00024291347654070705, -0.004471123218536377, -0.01270999014377594, 0.01683427207171917, -0.006749317515641451, -0.019150080159306526, -0.019782761111855507, -0.01847933977842331, -0.007934026420116425, -0.0055672056041657925, 0.020202364772558212, 0.029277091845870018, 0.0024272482842206955, 0.011037028394639492, -0.008539225906133652, -0.0031232067849487066, 0.008800216019153595, 0.01650731824338436, 0.02565167285501957, 0.024056578055024147, 0.025041654706001282, 0.015531213022768497, 0.001294204848818481, -0.023246854543685913, -0.00794135220348835, 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-0.012410777620971203, 0.0017857890343293548, 0.0017724897479638457]" +33,Pei Wei Asian Diner,Fast-casual restaurant serving Asian-inspired dishes like noodle bowls and stir-frys.,Food Court Gate C3,Terminal 2,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,Pei Wei Asian Diner is a restaurant. Fast-casual restaurant serving Asian-inspired dishes like noodle bowls and stir-frys.,"[-0.009079012088477612, 0.01003051083534956, -0.001365598407573998, -0.0861290693283081, -0.012915177270770073, -0.023759525269269943, -0.009260880760848522, -0.012465108186006546, 0.012707679532468319, 0.01586281508207321, -0.0006852502701804042, 0.007026113104075193, 0.014902283437550068, 0.00042716957977972925, 0.08982644975185394, -0.003844890743494034, 0.0218595489859581, -0.012038142420351505, 0.010178572498261929, -0.02591448649764061, -0.00508216442540288, 0.006940039340406656, 0.0026033802423626184, -0.00041197671089321375, 0.01741616241633892, -0.008893945254385471, 0.004847377073019743, -0.009626936167478561, 0.017071379348635674, 0.012201688252389431, -0.004028326831758022, 0.017903797328472137, 0.009003713726997375, -0.005159365013241768, 0.012637432664632797, -0.005119977053254843, 0.008029069751501083, -0.012024331837892532, -0.028846891596913338, -0.024550769478082657, 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offering assistance with flight information, directions, and other airport services.",Arrivals Hall,All Terminals,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,"Airport Information Desk is a facility. 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-0.011480756103992462]" +36,Travelex ATM,ATM offering access to multiple currencies at competitive rates.,Near Gate D4,Terminal 3,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Travelex ATM is a facility. ATM offering access to multiple currencies at competitive rates.,"[-0.0015833530342206359, -0.005991839803755283, -0.001371957128867507, -0.05264986306428909, -0.0062128216959536076, -0.0012225628597661853, 0.006120447535067797, 0.021000005304813385, 0.0004405266954563558, -0.000782351999077946, -0.01061317604035139, 0.0076709710992872715, 0.005494364537298679, 0.027341077104210854, 0.12961354851722717, -0.01886327750980854, -0.007031598128378391, -0.027382371947169304, 0.006745925638824701, -0.017109112814068794, -0.022090651094913483, -0.011571072973310947, -0.00018265345715917647, -0.004383471328765154, 0.0015910858055576682, 0.014155728742480278, 0.011700591072440147, 0.0013757176930084825, -0.0033307289704680443, 0.012767529115080833, 0.0015928561333566904, 0.019192401319742203, -0.003678111359477043, 0.03767576441168785, -0.017326325178146362, -0.0011645759223029017, 0.011874035000801086, 0.020764702931046486, 0.017500951886177063, 0.0008627237984910607, -0.006973437499254942, 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+37,Brookstone,"Retailer offering a wide variety of gadgets, travel accessories, and novelty items.",Gate C35,International Terminal A,shop,Daily 10:00 am-8:00 pm,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,"Brookstone is a shop. Retailer offering a wide variety of gadgets, travel accessories, and novelty items.","[0.0009476346895098686, -0.017513470724225044, 0.009552770294249058, -0.07419340312480927, -0.014802453108131886, -0.0007899445481598377, 0.0013014539144933224, 0.00636226637288928, 0.009274512529373169, -0.0046511502005159855, -0.009917587041854858, -0.011621912941336632, 0.010556608438491821, 0.005290621425956488, 0.10915413498878479, 0.0016222227131947875, 0.0043924893252551556, -0.047117553651332855, 0.014547264203429222, -0.011310753412544727, -0.016744354739785194, 0.025676168501377106, 0.0003942323091905564, -0.03028429113328457, -0.011559328995645046, -0.010568012483417988, 0.02322668395936489, 0.024122517555952072, 0.007501042447984219, 0.009681196883320808, 0.004269038792699575, 0.029585137963294983, -0.013315110467374325, 0.01541877631098032, -0.00952961016446352, -0.008868417702615261, 0.007094843778759241, -0.013711823150515556, -0.015885701403021812, -0.014181389473378658, 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-0.0046234154142439365]" +38,Mother's Room,Private space for mothers to breastfeed or pump in a clean and comfortable environment.,Level 2 Gate D8,Terminal 1,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Mother's Room is a facility. Private space for mothers to breastfeed or pump in a clean and comfortable environment.,"[-0.013142996467649937, 0.0010576203931123018, 0.0011432853061705828, -0.03566008433699608, 0.015516264364123344, 0.005780621897429228, -0.006585918832570314, 0.035155847668647766, 0.00598091771826148, 0.0031268815509974957, -0.01473778672516346, -0.013016625307500362, -0.007036850322037935, 0.0041193654760718346, 0.1131618544459343, 0.01847148686647415, 0.011368801817297935, 0.007872292771935463, 0.00023661760496906936, -0.023979833349585533, 0.01654178276658058, -0.0058432151563465595, -0.004359533544629812, 0.008953419514000416, -0.0015044059837237, 0.00880678091198206, 0.00867428444325924, 0.014575321227312088, 0.011902566067874432, -0.005792926996946335, 0.006112158764153719, 0.03665371239185333, -0.0013783549657091498, 0.03453295677900314, 0.0233137309551239, 0.02588016539812088, 0.0018640460912138224, 0.0015520366141572595, -0.008901297114789486, -0.008634515106678009, -0.01833263598382473, 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-0.010465809144079685, -0.007356191053986549, 0.009029833599925041, -0.0003251393500249833]" +39,Gate Gourmet Deli,"Deli counter offering quick bites like sandwiches, salads, and wraps.",Gate D5,Terminal 1,restaurant,Daily 6:00 am-8:00 pm,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,"Gate Gourmet Deli is a restaurant. Deli counter offering quick bites like sandwiches, salads, and wraps.","[-0.006161319557577372, 0.011519110761582851, -0.0037100189365446568, -0.05468125268816948, -0.017546482384204865, -0.005573640577495098, 0.013982277363538742, 0.03022630512714386, -0.008440039120614529, -0.0025014495477080345, -0.00842768233269453, -3.357900641276501e-05, 0.011936288326978683, 0.029276760295033455, 0.12158177047967911, -0.006480165291577578, 0.007540381979197264, -0.009937613271176815, 0.008918804116547108, -0.027132758870720863, -0.00544526195153594, -0.0022863810881972313, 0.026629948988556862, 0.007615090813487768, -0.0084605747833848, -0.008062274195253849, 0.026079954579472542, 0.002634096425026655, 0.012717977166175842, 0.03252606838941574, -0.008246714249253273, 0.006949508097022772, 0.002018609084188938, 0.03561563789844513, 0.004235539585351944, -0.0005253498093225062, -0.011140765622258186, -0.012316275388002396, -0.014200536534190178, -0.012129303999245167, -0.011793921701610088, 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goods, including perfumes, cosmetics, and liquor.",Gate E2,International Terminal A,shop,Daily 7:00 am-10:00 pm,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,"Dufry Duty Free is a shop. Duty-free shop offering a large selection of luxury goods, including perfumes, cosmetics, and liquor.","[-0.008028743788599968, -0.029095208272337914, -0.0003136794548481703, -0.08363402634859085, -0.029556013643741608, -0.00451830867677927, 0.0005194992991164327, 0.016423191875219345, 0.008440574631094933, -0.012379578314721584, 0.010056165046989918, -0.005704992450773716, 0.016990788280963898, 0.020870042964816093, 0.13990522921085358, 0.003291271859779954, 0.03734439238905907, -0.016533726826310158, 0.01948641613125801, -0.02140400931239128, -0.017765618860721588, -0.013242684304714203, 0.0004285114991944283, -0.011010324582457542, -0.020505882799625397, 0.013139010407030582, 0.003141063963994384, 0.004975485615432262, -0.00935689639300108, 0.003133671125397086, 0.0015272324671968818, 0.014517889358103275, -0.001277237432077527, 0.01162758655846119, 0.0028407578356564045, -0.004647612106055021, 0.010962736792862415, 0.008788739331066608, 0.002976055257022381, -0.01566331833600998, 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coffee chain serving fresh, made-to-order sandwiches and salads.",Food Court Gate B18,Terminal 3,restaurant,Daily 8:00 am-8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,"Pret A Manger is a restaurant. British-based sandwich and coffee chain serving fresh, made-to-order sandwiches and salads.","[-0.020550433546304703, 0.02142617478966713, -0.00010914159065578133, -0.0806330069899559, -0.023128563538193703, 0.010063567198812962, -0.007855360396206379, 0.030995087698101997, 0.009854103438556194, -0.003124619834125042, 0.0018106516217812896, 0.010578412562608719, -0.029102256521582603, 0.002682787599042058, 0.12311575561761856, -0.023811742663383484, 0.0009857966797426343, -0.020629629492759705, 0.016475219279527664, -0.033945631235837936, 0.005153818521648645, 0.005257340148091316, 0.013225250877439976, 0.012586125172674656, 0.0069256979040801525, -0.012697615660727024, 0.022874442860484123, 0.011010776273906231, 0.021965917199850082, 0.01965055800974369, 0.005209255963563919, 0.0009661857620812953, -0.002229834208264947, 0.0529981292784214, -0.0010393481934443116, 0.00045791667071171105, 0.016719108447432518, -0.014688155613839626, -0.03097010962665081, -0.014636099338531494, 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Lingerie and beauty retailer offering a selection of bras, panties, sleepwear, and fragrances.","[-0.01153545081615448, -0.027683567255735397, -0.010064938105642796, -0.08727477490901947, -0.033068399876356125, -0.0006920809973962605, 0.020450953394174576, 0.021743014454841614, 0.0017613684758543968, -0.021455585956573486, 0.002693692222237587, 0.009058421477675438, 0.016603883355855942, 0.019566461443901062, 0.12750741839408875, -0.020140396431088448, 0.014785605482757092, -0.0049208709970116615, 0.005813258234411478, -0.007781493943184614, -0.005911401938647032, 0.020766345784068108, -0.003641756484284997, -0.029104677960276604, 0.010594388470053673, -0.005036516580730677, 0.013600382022559643, 0.005615037400275469, 0.01636040210723877, -0.0028394011314958334, 0.008556689135730267, 0.01698305644094944, 0.013289355672895908, 0.004858038853853941, 0.0002426642895443365, 0.005524883046746254, -0.00818704254925251, -0.007247397676110268, -0.002804514952003956, 0.005159060005098581, 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-0.006435165647417307, 0.0031117091421037912, 0.014746032655239105, 0.005202314350754023]" +45,Travelex Currency Exchange,Currency exchange services for international travellers.,Gate C9,International Terminal A,facility,Daily 7:00 am-10:00 pm,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,Travelex Currency Exchange is a facility. 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Market,"Gourmet market offering a selection of grab-and-go food options, including sandwiches, salads, and snacks.",Gate C7,International Terminal A,shop,Daily 6:00 am-10:00 pm,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,"Cibo Express Gourmet Market is a shop. Gourmet market offering a selection of grab-and-go food options, including sandwiches, salads, and snacks.","[-0.021764591336250305, -0.012144015170633793, 0.009985891170799732, -0.07571099698543549, -0.003703225404024124, -0.015085828490555286, -0.006813267711549997, 0.014286176301538944, -0.00017492729239165783, -0.009295646101236343, -0.00950575526803732, 0.0025685555301606655, 0.008860754780471325, -0.0029406342655420303, 0.1319928914308548, -0.018321232870221138, 0.01852903701364994, -0.021588370203971863, 0.007138214074075222, -0.023997414857149124, -0.0024133557453751564, -0.018063455820083618, 0.007701837457716465, 0.0033206455409526825, -0.014328166842460632, -0.0027551341336220503, 0.03347320109605789, 0.034733351320028305, 0.0061204032972455025, 0.01197951938956976, -0.008043365553021431, 0.013407503254711628, 0.001717937528155744, 0.027763089165091515, 0.0012967410730198026, -0.00364165217615664, 0.018843337893486023, -0.002073303796350956, 0.008286393247544765, 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-0.015009868890047073]" +47,Luggage Carts,Luggage carts available for rent to help with carrying belongings through the airport.,Baggage Claim,All Terminals,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Luggage Carts is a facility. 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diverse selection of books, magazines, and travel guides.",Central Terminal,Terminal 2,shop,Daily 9:00 am-9:00 pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,"Book Passage is a shop. Independent bookstore offering a diverse selection of books, magazines, and travel guides.","[-0.003011370310559869, -0.006633445620536804, 0.028895458206534386, -0.06566786020994186, -0.020809900015592575, 0.005564022809267044, 0.0035004764795303345, -0.014011274091899395, 0.010531915351748466, -0.0005741005297750235, -0.003179688937962055, -0.01565282605588436, -0.005088054575026035, -0.005055679939687252, 0.1395173817873001, -0.03605196624994278, -0.006016849540174007, 0.0022719483822584152, 0.023030227050185204, -0.002605267334729433, -0.01711018569767475, -0.013761265203356743, 0.028769265860319138, -0.013614533469080925, 0.004764049779623747, 0.0014282634947448969, 0.022457199171185493, 0.02713320218026638, 0.0035770947579294443, 0.013745313510298729, 0.0006015141261741519, 0.03246457502245903, 0.011980763636529446, 0.01919090934097767, -0.0106626246124506, 0.012439572252333164, 0.006975396070629358, 0.0012984926579520106, -0.008959250524640083, -0.028137944638729095, 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reflection.,Level 3,Terminal 3,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Chapel is a facility. Quiet space for prayer and reflection.,"[-0.015389037318527699, -0.020192556083202362, 0.01872793398797512, -0.06955979019403458, 0.0028156160842627287, 0.008138570934534073, 0.008945656009018421, 0.01652677357196808, -0.00034125716774724424, 0.006706478539854288, -0.014149261638522148, 0.017606785520911217, -0.01879986934363842, 0.015808498486876488, 0.124099001288414, 0.0024575514253228903, -0.0038845762610435486, 0.010173552669584751, 0.006276528351008892, -0.014217267744243145, 0.007971132174134254, -0.00767871318385005, -0.019743917509913445, 0.0015753057086840272, -0.0032857076730579138, 0.01710520312190056, 0.025299742817878723, 0.034002386033535004, 0.0360608845949173, -0.0031473494600504637, 0.0017647920176386833, 0.030338583514094353, -0.0050018103793263435, 0.008968361653387547, 0.01932213082909584, 0.010077530518174171, -0.008578787557780743, -0.014837677590548992, -0.01211579516530037, 0.0016666713636368513, -0.018575269728899002, 0.02407475933432579, -0.01721353456377983, 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Counter offering a variety of soups, salads, and fresh bread.","[-0.010672138072550297, -0.0023098348174244165, 0.0088114645332098, -0.04898356273770332, -0.0075256493873894215, -0.007681732065975666, 0.006884253583848476, 0.009505195543169975, 0.0029798392206430435, 0.0002328599657630548, -0.006807359866797924, -0.0007736011175438762, 0.006815397646278143, -0.007071936037391424, 0.11872893571853638, -0.014653698541224003, 0.016514506191015244, -0.019058657810091972, -0.017449356615543365, -0.018918562680482864, 0.019662758335471153, -0.0215566698461771, 0.011810079216957092, 0.006379400845617056, -0.018405083566904068, -0.011995387263596058, 0.008704877458512783, 0.011571566574275494, 0.011227153241634369, 0.017207179218530655, -0.008901257999241352, 0.006208399776369333, 0.013491163030266762, 0.02792389504611492, 0.00360553665086627, 0.01724936254322529, 0.017256351187825203, -0.0014586403267458081, -0.006851484067738056, 0.016471192240715027, -0.009478201158344746, 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+52,The Hangar Bar & Grill,"Sports bar with memorabilia-themed decor serving American classics and watching live sports.""",Food Court Gate B18,Terminal 1,restaurant,Daily 11:00 am-12:00 am,11:00:00,12:00:00,11:00:00,12:00:00,11:00:00,12:00:00,11:00:00,12:00:00,11:00:00,12:00:00,11:00:00,12:00:00,11:00:00,12:00:00,"The Hangar Bar & Grill is a restaurant. Sports bar with memorabilia-themed decor serving American classics and watching live sports.""","[-0.0055135441944003105, -0.012577783316373825, 0.009455150924623013, -0.07090529799461365, -0.011982491239905357, 0.001527737476862967, -0.007816620171070099, -0.011159961111843586, 0.002825547941029072, 0.001394738326780498, 0.010252498090267181, -0.007365683559328318, 0.00018017318507190794, 0.019219256937503815, 0.10375962406396866, -0.0053247143514454365, 0.020312096923589706, -0.029918085783720016, -0.005265938118100166, 0.007234569173306227, -0.013141392730176449, -0.013708268292248249, 0.03307661786675453, 0.016664311289787292, 0.020529024302959442, -0.0018489622743800282, 0.023044336587190628, -0.002378497738391161, 0.007759012747555971, 0.013603555969893932, 0.012366059236228466, 0.03500818461179733, -0.0018119532614946365, 0.014724734239280224, -0.0030760804656893015, 0.014647877775132656, 0.0035985594149678946, 0.0014016935601830482, -0.011536704376339912, -0.003243613988161087, 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0.0017804314848035574]" +53,Peet's Coffee & Tea,"Specialty coffee and tea retailer offering hot and cold beverages, pastries, and sandwiches.",Pre-Security,Terminal 2,restaurant,Daily 5:00 am - 10:00 pm,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,05:00:00,22:00:00,"Peet's Coffee & Tea is a restaurant. Specialty coffee and tea retailer offering hot and cold beverages, pastries, and sandwiches.","[-0.023258930072188377, 0.0011568923946470022, -0.007263645529747009, -0.07469841837882996, 0.019549380987882614, -0.0008952431962825358, 0.0005211015813983977, 0.015768764540553093, 0.013034523464739323, -0.003798756981268525, 0.011284369975328445, 0.008153446018695831, 0.009004696272313595, -0.00787007063627243, 0.09771154075860977, 0.0005787396803498268, 0.005904208403080702, -0.033641792833805084, 0.018978385254740715, -0.01355725061148405, -0.011663563549518585, 0.0076897325925529, 0.00958017073571682, 0.007507554721087217, 0.004515261854976416, -0.03263431042432785, 0.012619877234101295, 0.022413291037082672, 0.020934227854013443, 0.003789061913266778, -0.0012496047420427203, 0.009064466692507267, -0.0011653890833258629, 0.05027405545115471, 0.007367466110736132, 0.001063748262822628, 0.014292028732597828, -0.013299692422151566, -0.017365284264087677, -0.018067041411995888, 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pm,09:00:00,22:00:00,09:00:00,22:00:00,09:00:00,22:00:00,09:00:00,22:00:00,09:00:00,22:00:00,09:00:00,22:00:00,09:00:00,22:00:00,"Xpress Spa is a facility. Walk-in spa offering massages, facials, and other treatments.","[-0.011678209528326988, -0.0005126306205056608, -0.012117573991417885, -0.042430032044649124, -0.0038149110041558743, 0.007707946002483368, 0.003932101186364889, 0.02027731016278267, 0.007649701554328203, 0.02216991037130356, 0.0027674876619130373, 0.009360525757074356, -0.002791917184367776, 0.017379168421030045, 0.12982535362243652, -0.0023720082826912403, 0.012771252542734146, -0.0022271762136369944, 0.007553251925855875, -0.00626108655706048, -0.01032571867108345, 0.0059602209366858006, -0.007727031596004963, -0.0024793625343590975, -0.01647535152733326, 0.0015046180924400687, 0.046895578503608704, 0.022523250430822372, -0.008799283765256405, -0.018466535955667496, -0.002938668942078948, 0.015292223542928696, -0.0025740612763911486, 0.0219025369733572, 0.0166599340736866, 0.013205974362790585, 0.008712179958820343, 0.0031547381076961756, -0.018752573058009148, -0.020960314199328423, -0.010060918517410755, 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-0.0007403069757856429, -0.004901030100882053, -0.012483961880207062, 0.0043035270646214485, -0.016147742047905922]" +56,Panda Express,Fast-casual restaurant serving Chinese-inspired dishes like orange chicken and chow mein.,Food Court Gate A7,Terminal 2,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,Panda Express is a restaurant. Fast-casual restaurant serving Chinese-inspired dishes like orange chicken and chow mein.,"[-0.016071544960141182, 0.016493607312440872, 0.007575156167149544, -0.07849965989589691, -0.010030919685959816, -0.006613537203520536, 0.0025085241068154573, 0.007063237950205803, -0.0012348177842795849, 0.006796050816774368, 0.017273908481001854, 0.0012096840655431151, 0.0016631288453936577, 0.006955617107450962, 0.1139959990978241, -0.015377607196569443, 0.01825694367289543, -0.011917178519070148, 0.015610205940902233, -0.024075638502836227, -0.0030247436370700598, -0.0036493560764938593, -0.0003416840627323836, 0.006155637092888355, 0.02368498034775257, -0.012316204607486725, 0.0048743681982159615, -0.01170823909342289, 0.023433677852153778, 0.019848762080073357, -0.0020990867633372545, 0.020598558709025383, 0.01831393502652645, -0.012761494144797325, 0.018706830218434334, -0.0012910531368106604, -0.0012452250812202692, 0.006946912966668606, -0.017064932733774185, -0.017408035695552826, 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found, wheelchair services, and other airport assistance.",Arrivals Hall,All Terminals,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,"Airport Help Center is a facility. Help center offering assistance with lost and found, wheelchair services, and other airport assistance.","[-0.018689345568418503, -0.011410616338253021, -0.004797297529876232, -0.0542730912566185, -0.0009763088310137391, 0.007345380261540413, -0.026298759505152702, 0.0041874004527926445, 0.0004056750040035695, -0.01690744049847126, -0.014801577664911747, 0.006861844100058079, 0.01568102091550827, 0.01856156997382641, 0.11246051639318466, -0.0018505350453779101, -0.0018387410091236234, 0.0034708853345364332, 0.0008589214412495494, -0.01670074835419655, -0.012524080462753773, -0.001410611323080957, -0.019577227532863617, -0.016454536467790604, -0.004829872865229845, 0.03363095223903656, 0.00876711681485176, 0.0081943329423666, -0.0014974836958572268, -0.009862777777016163, -0.00469989376142621, 0.008956876583397388, -0.00164429668802768, 0.026491302996873856, 0.0009678354836069047, 0.020885059610009193, 0.01726245880126953, -0.006759037263691425, 0.0035109426826238632, 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ATM,ATM offering access to cash with Bank of America accounts.,Gate C13,Terminal 3,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Bank of America ATM is a facility. 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brands.,Gate C35,International Terminal A,shop,Daily 10:00 am-8:00 pm,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,Sunglass Hut is a shop. Retailer offering a selection of sunglasses from top brands.,"[-0.02885248325765133, -0.004362973850220442, -0.0009704231633804739, -0.07715114206075668, -0.02278241142630577, 0.012668644078075886, 0.025088073685765266, 0.011133327148854733, 0.006076093763113022, -0.021445194259285927, 0.004339130595326424, -0.004459024872630835, 0.015361752361059189, 0.019010910764336586, 0.14277136325836182, -0.01371548417955637, -0.0019045660737901926, -0.03451290726661682, 0.02655303291976452, -0.02114865928888321, -0.008505279198288918, 0.01521399524062872, 0.006308468524366617, -0.0132294325158, 0.0015635525342077017, -0.009919255040585995, 0.012352737598121166, 0.014303918927907944, 0.012592661194503307, -0.013115313835442066, 0.00451349001377821, 0.026127075776457787, 0.02155608870089054, 0.008479016833007336, -0.004874668084084988, -0.01596490852534771, 0.016832925379276276, -0.007391591556370258, 0.001993830781430006, -0.006638841703534126, -0.005412739235907793, 0.010733414441347122, 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0.00827756430953741]" +61,Family Restroom,Large restroom with changing table and space for families.,Level 2,Terminal 1,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Family Restroom is a facility. Large restroom with changing table and space for families.,"[-0.020045001059770584, -0.007035490125417709, 0.004014347214251757, -0.046952374279499054, -0.007144490256905556, -0.008837442845106125, -0.007055383175611496, 0.022348331287503242, 0.0052226148545742035, -0.019344910979270935, 0.005995867773890495, -0.023292211815714836, -0.0126999756321311, -0.0027847501914948225, 0.10783977061510086, -0.006323953624814749, 0.001099549699574709, -0.002247700234875083, -0.008675971999764442, -0.01144858542829752, -0.013082134537398815, -0.0019274023361504078, 0.0015863531734794378, -0.003895827103406191, -0.0014767481479793787, 0.0328521654009819, -0.001834747614338994, 0.0024263046216219664, 0.006234784610569477, -0.013601887039840221, -0.0009599605691619217, 0.031540337949991226, -0.014840344898402691, 0.022414645180106163, -0.011524498462677002, 0.024063637480139732, 0.0003446213959250599, 0.004221346229314804, -0.003160877851769328, -0.015106217935681343, -0.03045455925166607, 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serving sandwiches, salads, soups, and pastries.",Gate D5,Terminal 1,restaurant,Daily 6:00 am-8:00 pm,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,"Panera Bread is a restaurant. Casual bakery-cafe serving sandwiches, salads, soups, and pastries.","[-0.003148022573441267, 0.01377256028354168, -3.124233990092762e-05, -0.06219278648495674, -0.012443696148693562, 0.003260826226323843, -0.0095574501901865, 0.012664400972425938, 0.010476510040462017, -0.0027282696682959795, 0.003854492912068963, -0.001600498566403985, 0.0059426394291222095, 0.006051547825336456, 0.09593815356492996, -0.012855558656156063, 0.006978508550673723, -0.006424429826438427, 0.002253440208733082, -0.021519888192415237, -0.0005031518521718681, -0.009245334193110466, 0.013101591728627682, 0.004406937398016453, 0.002793941181153059, -0.025476906448602676, -0.008755488321185112, -0.012794292531907558, 0.035038549453020096, 0.023151079192757607, -0.001642813440412283, 0.01089878287166357, 0.012474240735173225, 0.029248975217342377, -0.00323405209928751, 0.0031165487598627806, 0.01888425275683403, -0.010589223355054855, -0.01904277130961418, -0.007951674982905388, -0.010683584026992321, 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clothing, accessories, and fragrances.",Gate E9,International Terminal A,shop,Daily 7:00 am-10:00 pm,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,"Gucci Duty Free is a shop. Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.","[0.0031329903285950422, -0.01771112158894539, -0.02599027194082737, -0.0693865492939949, -0.01728357933461666, 0.01167056430131197, -0.006339105311781168, -0.006936357822269201, -0.0006807846948504448, -0.020718878135085106, -0.008366189897060394, -0.010982763022184372, 0.002343175932765007, 0.0014351638965308666, 0.12267813086509705, 0.0004894431913271546, 0.017713638022542, -0.019168579950928688, 0.023894552141427994, -0.020002778619527817, -0.004036170430481434, 0.0016705566085875034, -0.0008902935078367591, -0.014565304853022099, -0.008131002075970173, 0.01790076680481434, 0.001881354721263051, 0.00903693214058876, -0.0003860209253616631, 0.008193977177143097, -0.002647927962243557, 0.008582751266658306, 0.0006511371466331184, 0.016304221004247665, 0.021213553845882416, -0.009077580645680428, -0.005402862094342709, 0.012790804728865623, -0.004802941344678402, -0.02815382368862629, 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0.0014380279462784529]" +65,Subway,Sandwich chain offering customizable subs and salads.,Food Court Gate B18,Terminal 3,restaurant,Daily 8:00 am-8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,Subway is a restaurant. Sandwich chain offering customizable subs and salads.,"[-0.019030559808015823, 0.013274348340928555, -0.005333341658115387, -0.0519353523850441, -0.004750148858875036, -0.0025712221395224333, -0.0030699779745191336, 0.03202102333307266, 0.014956732280552387, -0.004882007837295532, 0.00024925629259087145, 0.016869166865944862, -0.004571628291159868, 0.025054600089788437, 0.1277173012495041, -0.027851056307554245, -0.010562453418970108, -0.0022039241157472134, -0.005246827844530344, -0.022378377616405487, 0.0011457049986347556, -0.022451529279351234, 0.0007920652278698981, -0.011471573263406754, -0.011193077079951763, -0.018624531105160713, -0.0030670352280139923, 0.012805631384253502, 0.0262229535728693, 0.017418943345546722, 0.0007635924266651273, 0.0013019960606470704, 0.015066993422806263, 0.038917314261198044, -0.0010065383976325393, -0.0047948625870049, 0.01705818437039852, -0.013750802725553513, -0.009857662953436375, -0.010491590946912766, -0.016038542613387108, 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service to keep shoes looking their best.,Arrivals Hall,Terminal 2,facility,Daily 8:00 am-8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,Shoe Shine Service is a facility. Professional shoe shine service to keep shoes looking their best.,"[-0.019135234877467155, -0.002682802500203252, 0.01838325895369053, -0.038345638662576675, -0.014491097070276737, 0.012184042483568192, -0.0003747148148249835, 0.02833898365497589, -0.016595657914876938, -0.0032562357373535633, -0.02829090878367424, -0.0014834327157586813, -0.006095572840422392, -0.0014544595032930374, 0.1250169724225998, -0.0007761683082208037, 0.0019643253181129694, -0.002590023446828127, 0.009832560084760189, -0.026439020410180092, -0.0032515062484890223, 0.005838286597281694, -0.009130211547017097, -0.016101280227303505, 0.005129852797836065, 0.016662288457155228, 0.035336267203092575, 0.026675952598452568, -7.412395643768832e-05, 0.005392133723944426, 0.011499478481709957, 0.03651793673634529, 0.010330922901630402, 0.03912650793790817, 0.009240604937076569, 0.00701720779761672, 0.002637687372043729, -0.0016229754546657205, -0.001895767985843122, -0.004087514244019985, -0.01375206746160984, 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range of snacks, drinks, and travel essentials.",Gate C7,International Terminal A,shop,Daily 6:00 am-10:00 pm,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,"The Market is a shop. Convenience store offering a wide range of snacks, drinks, and travel essentials.","[-0.028105979785323143, -0.012205872684717178, 0.009433223865926266, -0.08545374125242233, 0.0022328707855194807, -0.020945241674780846, -0.008347944356501102, -0.011863954365253448, -0.0051236809231340885, -0.013331519439816475, 0.00500051025301218, -0.027935687452554703, 0.004400362726300955, 0.0006942395120859146, 0.13025599718093872, -0.013634959235787392, 0.015595454722642899, -0.021519621834158897, 0.009990849532186985, -0.011615544557571411, -0.010346234776079655, -0.0061054592952132225, 0.009778618812561035, 0.0005421210662461817, -0.025212891399860382, 0.0029338859021663666, 0.0037514129653573036, 0.0207855012267828, 0.004866237752139568, 0.01552058570086956, 0.0207359716296196, 0.02375560998916626, 0.005428053438663483, 0.01892000064253807, -0.00012742062972392887, -0.008611826226115227, 0.018843622878193855, 0.005253168288618326, 0.016861500218510628, -0.01772880181670189, 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+71,The Wine Bar,Bar offering a curated selection of wines by the glass and bottle.,Gate E11,Terminal 1,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,The Wine Bar is a restaurant. Bar offering a curated selection of wines by the glass and bottle.,"[-0.02293095551431179, -0.0029560367111116648, -0.016819175332784653, -0.08315256237983704, -0.006183947902172804, -0.015635626390576363, 0.006328079849481583, 0.000981512712314725, 0.013297101482748985, 0.011027593165636063, -0.0032001386862248182, 0.010287518613040447, 0.008446944877505302, 0.0053977882489562035, 0.12891247868537903, -0.03737739473581314, -0.008782902732491493, -0.014161319471895695, 0.017856281250715256, -0.020894557237625122, -0.016181327402591705, -0.0211521964520216, 0.020154839381575584, 0.020358813926577568, 0.009117190726101398, -0.0006414347444660962, 0.00504730548709631, 0.013985511846840382, 0.027905574068427086, 0.023175571113824844, 0.01095515489578247, 0.01210856530815363, 0.019562741741538048, 0.018177811056375504, 0.007465734612196684, 0.01135275512933731, 0.008750171400606632, -0.003559354692697525, 0.004522570408880711, -0.0073222010396420956, -0.03208893537521362, 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Quiet space for individual meditation and relaxation.,"[-0.007461374159902334, -0.012435320764780045, -0.002940364647656679, -0.07033614069223404, 0.019305307418107986, 0.012905455194413662, 0.011781876906752586, 0.013207122683525085, 0.00471383286640048, 0.010707467794418335, -0.011176005005836487, -0.0022664202842861414, -0.012226390652358532, 0.005919532850384712, 0.11889377236366272, 0.005393374245613813, 0.010237175971269608, 0.004069877322763205, 0.01478715892881155, -0.026030726730823517, -0.011672222055494785, -0.017023053020238876, -0.006189340725541115, -0.011999750509858131, -0.0031042771879583597, 0.016946803778409958, 0.02197042852640152, 0.018890919163823128, 0.012110458686947823, -0.01579878479242325, -0.007701710797846317, 0.03594241291284561, 0.008092997595667839, 0.03527235984802246, 0.02680291049182415, 0.003763749962672591, 0.012118829414248466, -0.010646551847457886, -0.02425004355609417, -0.002273170044645667, -0.018834995105862617, 0.016327258199453354, 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Counter,Deli counter offering freshly prepared sandwiches and wraps.,Food Court Gate A7,Terminal 1,restaurant,Daily 8:00 am-11:00 pm,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,The Deli Counter is a restaurant. Deli counter offering freshly prepared sandwiches and wraps.,"[-0.020107032731175423, 0.012297396548092365, -0.018595915287733078, -0.0581442229449749, -0.028016040101647377, -0.005743018351495266, 0.011610966175794601, 0.02228476293385029, -0.0012783316196873784, -0.006882860325276852, 0.0024204407818615437, 0.010901572182774544, -0.0077080633491277695, 0.013496218249201775, 0.13174736499786377, -0.03057500720024109, 0.006959421560168266, -0.004472407512366772, 0.007528162095695734, -0.017883997410535812, -0.00040317882667295635, -0.011373642832040787, 0.019781896844506264, 0.00848375353962183, 0.012457766570150852, -0.0031253916677087545, 0.0201554112136364, 0.003682022448629141, 0.012807668186724186, 0.028730228543281555, -0.011971269734203815, 0.006980694830417633, 0.012436660937964916, 0.03656666725873947, -0.00691679771989584, 0.00031970880809240043, 0.009820008650422096, -0.0116996755823493, -0.015812193974852562, 0.0006249938160181046, -0.01551193930208683, 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pm,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,La Crêperie is a restaurant. Charming eatery serving sweet and savory crêpes with a variety of fillings.,"[-0.01175420917570591, 0.011183707974851131, -0.008111607283353806, -0.07655542343854904, -0.008793174289166927, 0.0006594671285711229, 0.0028225607238709927, 0.014706989750266075, 0.022472117096185684, -0.002784342970699072, -0.0028384774923324585, 0.02600109577178955, 0.011645548045635223, -0.001575031434185803, 0.11331861466169357, -0.0060692946426570415, 0.0015225850511342287, -0.004005917347967625, 0.0050567081198096275, -0.006017993204295635, 0.005553926806896925, -0.009121298789978027, 0.00949198380112648, 0.013354657217860222, 0.010730098932981491, 0.005713365040719509, 0.005738412495702505, 0.015307214111089706, 0.010434238240122795, 0.017254916951060295, 0.006506765726953745, 0.0012296716449782252, -0.011937547475099564, 0.032464686781167984, 0.003040746320039034, 0.01822653040289879, 0.01912415213882923, -0.007611401844769716, -0.0035354222636669874, -0.004731331020593643, -0.02296627312898636, 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-0.024444831535220146]" +76,Teavana,"Specialty tea shop offering loose leaf teas, tea blends, and tea accessories.",Gate B17,Terminal 1,shop,Daily 6:00 am - 10:00 pm,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,"Teavana is a shop. Specialty tea shop offering loose leaf teas, tea blends, and tea accessories.","[-0.010775803588330746, -0.004213354550302029, -0.019992124289274216, -0.08855599164962769, 0.01503150723874569, -0.0016872112173587084, 0.008356112986803055, 0.017807671800255775, -0.01426764391362667, -0.005849095992743969, 0.000799509696662426, 0.004516398534178734, 0.006974583026021719, 0.012598087079823017, 0.1107577532529831, -0.010754071176052094, 0.014016865752637386, -0.03401114046573639, 0.022953053936362267, -0.017103122547268867, -0.022681012749671936, 0.0016661552945151925, 0.019963689148426056, -0.012308008968830109, 0.0015858053229749203, -0.012516304850578308, 0.03051839955151081, 0.037045449018478394, 0.004045024048537016, -0.0006305761053226888, -0.005667209159582853, 0.01510304119437933, 0.0196696687489748, 0.026104679331183434, 0.013858648017048836, 0.008353463374078274, 0.03138317912817001, -0.0154655696824193, -0.00951832253485918, -0.012329948134720325, -0.0028582888189703226, 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0.010260993614792824, -0.005552053917199373]" +79,Thai Express,Fast-casual restaurant serving authentic Thai dishes like pad thai and green curry.,Food Court Gate A7,Terminal 2,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,Thai Express is a restaurant. Fast-casual restaurant serving authentic Thai dishes like pad thai and green curry.,"[-0.013629487715661526, 0.007690827362239361, -0.012100664898753166, -0.058674782514572144, -0.009522250853478909, -0.02051038295030594, 0.01116427406668663, -0.008819582872092724, 0.005727672949433327, 0.010815829038619995, -0.010175361298024654, 0.030862346291542053, 0.011530592106282711, 0.0003246149281039834, 0.10785548388957977, -0.016788264736533165, 0.01284694205969572, 0.005945944227278233, 0.01211516559123993, -0.03298701345920563, 0.009203825145959854, -0.015778400003910065, 0.005459248553961515, 0.001752101699821651, 0.00584013806656003, -0.010585351847112179, 0.004614939447492361, 0.0212277639657259, 0.022689320147037506, 0.012454051524400711, -0.020119981840252876, 0.016516974195837975, 0.022357210516929626, 0.01836582086980343, 0.0024479913990944624, -0.017647089436650276, 0.004947155248373747, -0.0006518547888845205, -0.006956011056900024, -0.024616042152047157, -0.022320497781038284, 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offering natural toiletries, fragrances, and gifts.",Central Terminal,Terminal 2,shop,Daily 9:00 am-9:00 pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,"Crabtree & Evelyn is a shop. British lifestyle brand offering natural toiletries, fragrances, and gifts.","[-0.009387888014316559, -0.0320550836622715, -0.02283485420048237, -0.07645846158266068, -0.03129888325929642, 0.007210677955299616, 0.009123018942773342, 0.025487765669822693, 0.010280890390276909, -0.009123887866735458, -0.022289082407951355, -0.018614543601870537, -0.004450340289622545, 0.002644510939717293, 0.1305437982082367, -0.012602868489921093, 0.02245664969086647, -0.02240518108010292, 0.01717543788254261, -0.012298589572310448, 0.005821555387228727, 0.012298074550926685, 0.01864638365805149, -0.012359223328530788, -0.012265377677977085, 0.003920486196875572, 0.033960841596126556, 0.03943156078457832, -0.008709551766514778, 0.00010681374260457233, -0.013538738712668419, 0.03520522639155388, -0.018297621980309486, 0.014839833602309227, -0.0026926349382847548, -0.0036981836892664433, 0.007867452688515186, -0.0046109650284051895, -0.019993141293525696, -0.012236195616424084, -0.007775680627673864, 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Information Kiosk,"Interactive touch-screen kiosk providing flight information, airport maps, and other helpful resources.",Arrivals Hall,All Terminals,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,"Airport Information Kiosk is a facility. Interactive touch-screen kiosk providing flight information, airport maps, and other helpful resources.","[-0.015695756301283836, -0.019117871299386024, -0.0062677813693881035, -0.06668702512979507, -0.0023106327280402184, -0.00255455169826746, -0.007645675912499428, 0.018392391502857208, -0.019597332924604416, -0.00786143820732832, -0.014048111625015736, 0.003680112538859248, 0.0035143564455211163, 0.039297763258218765, 0.10125577449798584, -0.006907287053763866, 0.010152406059205532, -0.016866562888026237, 0.0039343261159956455, -0.013286725617945194, -0.0017840139335021377, -8.485210128128529e-05, -0.017426729202270508, -0.03339490666985512, 0.0023069914896041155, 0.027447175234556198, 0.014949348755180836, 0.010725812055170536, 0.00282403826713562, -0.005798157770186663, -0.020211953669786453, 0.0040680281817913055, 0.010526523925364017, 0.0190662182867527, 0.009771053679287434, 0.00547359324991703, 0.017528213560581207, 0.02272266522049904, 0.001960055436939001, 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+82,Shoe Valet,Service that allows travelers to drop off and pick up their shoes for polishing while they explore the airport.,Gate E8,Terminal 2,facility,Daily 8:00 am-8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,Shoe Valet is a facility. 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-0.018362857401371002]" +83,Tech Gear,"Retailer specializing in travel tech accessories like headphones, chargers, and portable power banks.",Gate C32,International Terminal A,shop,Daily 10:00 am-8:00 pm,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,"Tech Gear is a shop. Retailer specializing in travel tech accessories like headphones, chargers, and portable power banks.","[-0.0057086944580078125, -0.02084837481379509, 0.024523086845874786, -0.08475739508867264, 0.022922761738300323, 0.005483692046254873, 0.008774470537900925, -0.015253225341439247, 0.014217600226402283, -0.004315728787332773, -0.0027435608208179474, 0.009061762131750584, 0.011562744155526161, 0.005557611584663391, 0.09942953288555145, -0.009290589019656181, 0.0028679147362709045, -0.018668653443455696, 0.016105586662888527, -0.024373270571231842, -0.004785552155226469, 0.012335691601037979, 0.009846596978604794, -0.023396531119942665, -0.0045159440487623215, -0.015705790370702744, 0.01771114394068718, 0.017246102914214134, 0.044127561151981354, -0.00034016568679362535, -0.0007876650779508054, 0.008721738122403622, 0.01910136267542839, 0.023808876052498817, 0.0016658215317875147, -0.004349098075181246, 0.022698571905493736, 0.002488738624379039, -0.012937013059854507, 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-0.003069987753406167]" +84,Mobile Device Charging Station,Secure lockers where travelers can charge their mobile devices while exploring the airport.,Gate B18,Terminal 1,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Mobile Device Charging Station is a facility. 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and breads.",Gate D12,Terminal 1,restaurant,Daily 6:00 am-8:00 pm,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,06:00:00,20:00:00,"Homebaked is a restaurant. 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shop offering luxury goods and accessories.,Gate E18,International Terminal A,shop,Daily 7:00 am-10:00 pm,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,07:00:00,22:00:00,Hermes Duty Free is a shop. 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naps or rest.,Gate E4,Terminal 2,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Sleep Pods is a facility. Private pods with reclining chairs and soundproofing for short naps or rest.,"[-0.004560353700071573, -0.00913536548614502, 0.011803776025772095, -0.07758595794439316, 0.01342655811458826, 0.006636351812630892, 0.014116974547505379, 0.026056580245494843, 0.01971668377518654, -0.004165160935372114, -0.006425192579627037, 0.012021892704069614, -0.016974207013845444, 0.02136717364192009, 0.10236432403326035, 0.013303527608513832, -0.0023934654891490936, -0.004697918426245451, 0.013041884638369083, -0.020336855202913284, -0.012740330770611763, -0.02588571049273014, 0.0022799414582550526, -0.006100198719650507, -2.7543195756152272e-05, -8.140743739204481e-05, 0.02070518769323826, 0.0175368282943964, 0.008816326968371868, -0.00478669349104166, 0.008778715506196022, 0.030820798128843307, -0.0073320805095136166, 0.029842721298336983, 0.013062444515526295, 0.01577894575893879, 0.014226398430764675, -0.01804281398653984, -0.01282621081918478, -0.003498884616419673, 0.001094306819140911, 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+88,Freshii,"Healthy fast-casual restaurant with custom salads, wraps, and bowls.",Gate C18,Terminal 3,restaurant,Daily 8:00 am-8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,"Freshii is a restaurant. Healthy fast-casual restaurant with custom salads, wraps, and bowls.","[0.007363397628068924, 0.005429805256426334, -0.004999399650841951, -0.06075984984636307, -0.004210433457046747, 0.005023014731705189, 0.0045388019643723965, 0.02181975729763508, 0.0045439330860972404, 0.008180157281458378, 0.008485587313771248, 0.01934022456407547, -0.004998081363737583, 0.005631980951875448, 0.10119073837995529, -0.009701344184577465, -0.007844224572181702, -0.01626347005367279, 0.02383049577474594, -0.009007087908685207, -0.006319793406873941, 0.009624648839235306, 0.002038941252976656, 0.005039446987211704, 0.0022746813483536243, -0.016620652750134468, -0.006913120858371258, -0.0011061611585319042, 0.007503983099013567, 0.02081378363072872, -0.020651863887906075, 0.021798469126224518, 0.023228077217936516, 0.009682324714958668, -0.0037474241107702255, -0.010667377151548862, 0.01995394192636013, -0.01252020988613367, -0.02688232809305191, 0.003159310668706894, -0.021559473127126694, 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gift shop offering a curated selection of notebooks, pens, and travel accessories.",Central Terminal,Terminal 2,shop,Daily 10:00 am-9:00 pm,10:00:00,21:00:00,10:00:00,21:00:00,10:00:00,21:00:00,10:00:00,21:00:00,10:00:00,21:00:00,10:00:00,21:00:00,10:00:00,21:00:00,"Kikki.K is a shop. Stationery and gift shop offering a curated selection of notebooks, pens, and travel accessories.","[-0.017949813976883888, -0.01935604214668274, -0.012895612046122551, -0.055548295378685, -0.01256675086915493, -0.010567068122327328, 0.019181691110134125, -0.00678164092823863, -0.003811024595052004, 0.007269347086548805, -0.01523427851498127, 0.0021456514950841665, 0.004604859743267298, 0.007913867942988873, 0.144979789853096, -0.013712814077734947, -0.011264454573392868, -0.02466045506298542, 0.04155759513378143, -0.031643304973840714, -0.01796903647482395, 0.021000299602746964, 0.013786155730485916, -0.01113073155283928, 0.017737658694386482, -0.011133404448628426, 0.0188596248626709, 0.024989034980535507, -0.0013269719202071428, 0.01379941962659359, -0.003175712190568447, 0.016131708398461342, 0.01806253381073475, -0.004046989604830742, 0.01124805212020874, -0.012017594650387764, 0.020549995824694633, -0.0009112139232456684, -0.029323160648345947, -0.015205529518425465, 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services for travelers' clothes.,Arrivals Hall,Terminal 2,facility,Daily 8:00 am-8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,Dry Cleaning & Laundry Service is a facility. Service offering dry cleaning and laundry services for travelers' clothes.,"[-0.014646702446043491, -0.01726471818983555, 0.0035614771768450737, -0.034990329295396805, -0.005783465225249529, -0.006718618329614401, -0.002080688253045082, 0.02252523973584175, -0.005643305368721485, -0.007328403647989035, -0.019572069868445396, 0.018132532015442848, 0.0005385066033340991, -0.0037243023980408907, 0.11653949320316315, -0.024086467921733856, 0.008372459560632706, 0.010008224286139011, -0.004193620756268501, -0.023613590747117996, 0.001660347799770534, 0.001563768950290978, -0.0025825572665780783, -0.0070669460110366344, -0.0006443532183766365, 0.03127255290746689, 0.003312685526907444, 0.017694314941763878, -0.0034860933665186167, 0.0023246114142239094, 0.004087488166987896, 0.004881138447672129, 0.012865418568253517, 0.04857731983065605, -0.0019110674038529396, 0.0153996916487813, -0.00010922353976638988, 0.013698005117475986, 0.007739771157503128, -0.011645971797406673, 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+92,Travel Essentials,"Convenience store offering necessities like travel size toiletries, medications, and headphones.",Gate C7,International Terminal A,shop,Daily 6:00 am-10:00 pm,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,"Travel Essentials is a shop. Convenience store offering necessities like travel size toiletries, medications, and headphones.","[-0.017897745594382286, -0.01673329994082451, 0.0008612570236437023, -0.07501213252544403, 0.009801418520510197, -0.0014954492216929793, -0.01570526696741581, -0.014431406743824482, 0.019085392355918884, -0.013446071185171604, -0.012560363858938217, 0.009364449419081211, -0.0004768101207446307, 0.019241612404584885, 0.10411106795072556, -0.010015729814767838, 0.004625645466148853, -0.015464822761714458, 0.013190020807087421, -0.026524243876338005, -0.0067535522393882275, 0.012131553143262863, -0.003316134214401245, -0.027520880103111267, -0.02146822400391102, -0.0005474131321534514, 0.028952667489647865, 0.033154089003801346, 0.003768298542127013, 0.010255447588860989, 0.02211385779082775, 0.02275138907134533, 0.019968677312135696, 0.03592242673039436, 0.0015130859101191163, 0.0018377109663560987, 0.015767710283398628, -0.010888866148889065, -0.017967846244573593, -0.01842028647661209, 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-0.004760487470775843]" +93,Airport Limousine Service,Luxury limousine service for transportation to and from the airport.,Baggage Claim,All Terminals,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Airport Limousine Service is a facility. 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+94,The Wine Cellar,High-end wine bar offering a vast selection of rare and vintage wines by the glass and bottle.,Gate E11,Terminal 1,restaurant,Daily 11:00 am-10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,The Wine Cellar is a restaurant. High-end wine bar offering a vast selection of rare and vintage wines by the glass and bottle.,"[-0.03187870979309082, -0.006749703548848629, -0.012598725967109203, -0.08569474518299103, -0.00019864285422954708, -0.008131273090839386, -0.00044128825538791716, 0.0037715479265898466, 0.00048118835547938943, 0.004555732477456331, 0.001038430375047028, 0.01457143109291792, 0.009871154092252254, 0.016234610229730606, 0.11221522092819214, -0.02593199722468853, -0.013652338646352291, -0.016836224123835564, 0.009563855826854706, -0.007312468718737364, -0.011426680721342564, -0.019698824733495712, 0.026428433135151863, 0.013213500380516052, 0.0031118912156671286, -0.004610102623701096, 0.011302080005407333, -0.002769962651655078, 0.034754179418087006, 0.02574380487203598, -0.001307899015955627, 0.00428885268047452, -0.0012682868400588632, 0.02059256099164486, 0.0029755812138319016, 0.007729239296168089, 0.008827061392366886, -0.008852748200297356, 0.007386327255517244, -0.011742744594812393, 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Independent bookstore specializing in fiction, travel guides, and children's books.","[0.0015229913406074047, 0.0020278741139918566, 0.01331021636724472, -0.05539312586188316, -0.020173875615000725, -0.009726885706186295, -0.013047792948782444, 0.0030253150034695864, 0.010789822787046432, -0.024142012000083923, 0.011790097691118717, 0.008593736216425896, 0.0033896267414093018, 0.00179045379627496, 0.12167003750801086, -0.01731261797249317, -0.016695749014616013, -0.013276089914143085, 0.03146691247820854, -0.028916120529174805, -0.023752940818667412, -0.0028561255894601345, 0.03582526743412018, -0.006546217482537031, 0.012749905698001385, -3.045266930712387e-05, 0.016068659722805023, 0.04562188684940338, 0.012827281840145588, 0.011435058899223804, -0.005191574804484844, 0.04449111595749855, -0.006060227286070585, 0.03142668306827545, -0.00022197076759766787, -0.003842675592750311, 0.0007805265486240387, -0.005644808057695627, -0.011152632534503937, -0.037025224417448044, 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Studio Store,"Shop selling yoga apparel, equipment, and accessories.",Level 3,Terminal 3,facility,Sunday-Thursday 11:00 am-8:00 pm,11:00:00,20:00:00,11:00:00,20:00:00,11:00:00,20:00:00,11:00:00,20:00:00,11:00:00,20:00:00,,,,,"Yoga Studio Store is a facility. Shop selling yoga apparel, equipment, and accessories.","[-0.004616867750883102, -0.029649414122104645, 0.006169904954731464, -0.0703689381480217, 0.013816740363836288, 0.0010312107624486089, 0.00320753687992692, 0.009224308654665947, 0.0004880713240709156, 0.0210836511105299, -0.011812676675617695, 0.006642058491706848, 0.010426274500787258, 0.010106232948601246, 0.10987525433301926, -0.0029140645638108253, 0.001771017792634666, -0.010708454065024853, 0.01520012691617012, -0.02346656285226345, -0.015517745167016983, 0.003958240617066622, -0.005717114545404911, -0.020378220826387405, 0.003283958649262786, 0.006044755224138498, 0.029130632057785988, 0.010445691645145416, -0.0011296846205368638, -0.030710987746715546, 0.0022678703535348177, 0.02546004205942154, 0.004821499343961477, 0.023364750668406487, 0.012793716043233871, 0.0029737898148596287, 0.0014500775141641498, -0.004044635687023401, -0.01791537180542946, -0.01146681047976017, -0.012436077930033207, -0.00044544166303239763, 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am-8:00 pm,11:00:00,20:00:00,11:00:00,20:00:00,11:00:00,20:00:00,11:00:00,20:00:00,11:00:00,20:00:00,,,,,Travelex is a facility. 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stays or naps,Near Gate D12,Terminal 3,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Minute Suites is a facility. 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0.019375065341591835, 0.005309295374900103]" +99,Yoga & Meditation Room,"A quiet space for stretching, relaxation, and meditation",Across from Gate C8,Terminal 2,facility,Daily 6:00 am - 10:00 pm,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,06:00:00,22:00:00,"Yoga & Meditation Room is a facility. A quiet space for stretching, relaxation, and meditation","[-0.0063822404481470585, -0.014103442430496216, -0.004951672628521919, -0.062012672424316406, 0.020406557247042656, 0.009189809672534466, 0.006320436485111713, 0.01230660080909729, -0.003635985078290105, 0.007157547865062952, -0.02099107764661312, 0.002003343775868416, -0.0033606269862502813, -0.0007224210421554744, 0.12118440121412277, -0.0049662827514112, 0.02158287912607193, 0.00659423740580678, 0.01286142598837614, -0.01491355150938034, -0.005532316863536835, -0.008489781990647316, -0.00622347928583622, -0.008797586895525455, 0.001999825472012162, 0.006598807871341705, 0.02172091044485569, 0.02202277071774006, 0.0289753470569849, -0.014572862535715103, -0.012984681874513626, 0.04059680923819542, 0.010190255008637905, 0.02940606139600277, 0.02139134146273136, 0.012629102915525436, 0.022539261728525162, 0.0039976490661501884, -0.01809852384030819, 0.005840157624334097, -0.012325340881943703, 0.011989123187959194, 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0.0026512080803513527]" +100,The Spot,Upscale bar with craft cocktails and gourmet bites,Near International Departures,All Terminals,restaurant,Daily 11:00 am - 11:00 pm,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,11:00:00,23:00:00,The Spot is a restaurant. Upscale bar with craft cocktails and gourmet bites,"[-0.02244962751865387, 0.006542328745126724, -0.010640138760209084, -0.09130226075649261, 0.008029243908822536, -0.0029225735925137997, -0.014571023173630238, -0.01260529737919569, -0.005523251369595528, 0.000977672403678298, -0.007113686762750149, 0.016075877472758293, 0.003688877448439598, -0.005956726614385843, 0.12586404383182526, -0.01788092963397503, -0.003618536051362753, -0.021299637854099274, 0.021282218396663666, -0.005698443856090307, -0.011916831135749817, -0.019182119518518448, 0.014926842413842678, 0.03299662843346596, -0.010528524406254292, -0.01836233399808407, 0.0052279322408139706, 0.006328614894300699, 0.014588856138288975, 0.03677115589380264, 0.007612320128828287, 0.016630016267299652, -0.0017615732504054904, 0.0353260338306427, 0.0038879229687154293, 0.012867952696979046, 0.0007342025055550039, -0.013320873491466045, -0.005709472578018904, -0.019199304282665253, -0.025524048134684563, -0.002721750410273671, 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luggage storage for short-term and long-term needs,Near baggage claim,All Terminals,facility,Monday-Saturday 8:00 am-11:00 pm,,,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,Baggage Storage is a facility. 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0.004647872410714626]" +102,The Executive Lounge,"Premium lounge with Wi-Fi, snacks, showers, and comfortable seating",Across from Gate A15,International Terminal A,facility,Daily 8:00 am-11:00 pm,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,"The Executive Lounge is a facility. Premium lounge with Wi-Fi, snacks, showers, and comfortable seating","[-0.005172973498702049, -0.005571622401475906, 0.002182189840823412, -0.07110113650560379, -0.0052107470110058784, -0.006151065696030855, 0.0031489054672420025, 0.012149759568274021, 0.0017263770569115877, 0.0010008974932134151, -0.01915173977613449, -0.005129028111696243, -0.005909846164286137, 0.019870014861226082, 0.12957638502120972, -0.011762093752622604, 0.0233922079205513, -7.071776781231165e-05, -0.0036313615273684263, 1.0201741133641917e-05, -0.01137592364102602, -0.007186423521488905, 0.0013176511274650693, -0.011238271370530128, -0.01716599427163601, 0.014290602877736092, 0.015418391674757004, 0.01413725782185793, 0.017648572102189064, 0.0036019114777445793, 0.006488058716058731, 0.011849402450025082, -0.009829377755522728, 0.04801546409726143, 0.007046254817396402, 0.020457245409488678, 0.004606911912560463, 0.006270979065448046, 0.010643773712217808, -0.01916109025478363, -0.017144102603197098, 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-0.006014510523527861, -0.0012623845832422376]" +103,Pet Relief Area,Designated indoor or outdoor space for traveling pets,Near Gate B7 and outside near Ground Transportation,Terminal 1 & Outdoors,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Pet Relief Area is a facility. 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meditation",Across from Gate D7,Terminal 3,facility,Sunday-Friday 6:00 am - 9:00 pm,06:00:00,21:00:00,06:00:00,21:00:00,06:00:00,21:00:00,06:00:00,21:00:00,06:00:00,21:00:00,06:00:00,21:00:00,,,"Interfaith Chapel is a facility. 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-0.00755216833204031, -0.00845345575362444, 0.0015644794330000877, 0.005294293165206909]" +105,Johnnie Walker Lounge,Whiskey-focused lounge with tastings and food,Near Gate C2,Terminal 2,restaurant,Daily 11:00 am - 9:00 pm,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,11:00:00,21:00:00,Johnnie Walker Lounge is a restaurant. 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-0.006364766042679548]" +106,Children's Book Nook,Reading area with children's books and comfy seating,Across from Gate D1,Terminal 3,facility,Sunday-Friday 8:00 am - 8:00 pm,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,08:00:00,20:00:00,,,Children's Book Nook is a facility. 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Pharmacy,Prescription medications and over-the-counter essentials,Near Baggage Claim,All Terminals,facility,Daily 9:00 am - 7:00 pm,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,09:00:00,19:00:00,Airport Pharmacy is a facility. 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-0.004877438768744469]" +108,Sunglass Station,Large selection of sunglasses and travel accessories,Across from Gate A11,International Terminal A,shop,Sunday-Friday 8:00 am - 9:00 pm,08:00:00,21:00:00,08:00:00,21:00:00,08:00:00,21:00:00,08:00:00,21:00:00,08:00:00,21:00:00,08:00:00,21:00:00,,,Sunglass Station is a shop. Large selection of sunglasses and travel accessories,"[-0.009699506685137749, -0.017413316294550896, 0.007929105311632156, -0.075730100274086, -0.01377369649708271, -0.00615582475438714, -0.0029567505698651075, -0.0036246641539037228, 0.00854517798870802, -0.00222699623554945, -0.006015292834490538, -0.004412170499563217, 0.0049235583283007145, 0.013197988271713257, 0.12734317779541016, -0.014240782707929611, 0.003620491363108158, -0.03915265575051308, 0.004139544442296028, -0.01943729631602764, -0.0072164698503911495, -0.019868943840265274, 0.014616016298532486, -0.021683253347873688, -0.007018483709543943, -0.01204389426857233, 0.017091209068894386, 0.019502364099025726, 0.017572693526744843, 0.010102824307978153, -0.005934550892561674, 0.015172583982348442, 0.008823469281196594, 0.01349223405122757, 0.011370859108865261, -0.004207296296954155, 0.011831753887236118, -0.01702811010181904, -0.008471847511827946, -0.017433546483516693, -0.010483547113835812, -0.008344700559973717, 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-0.012130504474043846]" +109,The Wine Bar,"Featuring wines by the glass, tasting flights, and small plates",Near Gate B9,Terminal 1,restaurant,Daily 11:00 am - 10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,"The Wine Bar is a restaurant. Featuring wines by the glass, tasting flights, and small plates","[-0.013437654823064804, -0.0028090602718293667, -0.01657969132065773, -0.08133898675441742, -0.005957317538559437, -0.023935716599225998, 0.0046622236259281635, -0.007246492430567741, 0.006003691349178553, 0.004510724917054176, 0.0001634247601032257, 0.011080414056777954, 0.005865210667252541, 0.003722577588632703, 0.12491630762815475, -0.026254376396536827, -0.00042005369323305786, -0.022995056584477425, 0.005793455988168716, -0.012411587871611118, -0.020994674414396286, -0.015509762801229954, 0.014577354304492474, 0.016485216096043587, 0.00817734282463789, -0.008482136763632298, 0.020577995106577873, 0.0044360775500535965, 0.026820586994290352, 0.02122511900961399, 0.0095205781981349, 0.0033567401114851236, 0.02237122878432274, 0.005421745125204325, -0.00449884869158268, 0.011519628576934338, -0.0021567384246736765, -0.007579909637570381, 0.0038575364742428064, -0.006583981681615114, -0.04566298797726631, 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On-site repair for damaged luggage and travel gear,"[-0.022449243813753128, -0.012533576227724552, 0.015441306866705418, -0.053586170077323914, -0.00696889404207468, 0.006675970274955034, -0.01594432070851326, 0.004725858569145203, -0.010724378749728203, 0.0022371681407094, -0.023951400071382523, 0.006758154835551977, -0.02148262783885002, -0.0003689128498081118, 0.11968617886304855, -0.01762419007718563, 0.004023279063403606, 0.0035472216550260782, 0.00672502163797617, -0.008123284205794334, -0.020398538559675217, 0.011975855566561222, 0.016813121736049652, -0.0245400108397007, 0.0013789014192298055, 0.013397246599197388, 0.01188658457249403, 0.02037554606795311, 0.01000305823981762, 0.007680912502110004, 0.0062076919712126255, 0.019913868978619576, 0.0024741324596107006, 0.020067324861884117, 0.013025665655732155, 0.023344555869698524, -0.0033108468633145094, 0.002849282929673791, -0.02732880413532257, -0.006968870293349028, -0.00841031689196825, 0.005994737613946199, 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+111,Shoe Shine Service,Professional shoe cleaning and polishing service,Main Concourse,All Terminals,facility,Daily 7:00 am - 7:00 pm,07:00:00,19:00:00,07:00:00,19:00:00,07:00:00,19:00:00,07:00:00,19:00:00,07:00:00,19:00:00,07:00:00,19:00:00,07:00:00,19:00:00,Shoe Shine Service is a facility. 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Phone repair, accessory sales, and tech troubleshooting","[-0.01515941508114338, -0.01526374090462923, -0.0018920882139354944, -0.07843346893787384, -0.0015106438659131527, -0.008920429274439812, 0.011468370445072651, -0.0047038858756423, -0.0046248659491539, -0.010769390501081944, -0.011008227244019508, 0.002019706880673766, 0.006167769897729158, 0.020429298281669617, 0.10440441220998764, -0.0020711892284452915, 0.007123866584151983, -0.016818836331367493, 0.01635420322418213, 0.014002816751599312, -0.007809121161699295, -0.010946303606033325, 0.00881471112370491, -0.02770313061773777, -0.00967043824493885, 0.0179233830422163, 0.024410173296928406, 0.03227228298783302, 0.022401951253414154, -0.0025956241879612207, -0.01271575503051281, 0.00800394732505083, 0.00014810149150434881, 0.016721460968255997, -0.0018309223232790828, -4.494001404964365e-05, 0.02656499110162258, -0.026694700121879578, -0.014783332124352455, -0.008768382482230663, -0.008963393047451973, 0.012707635760307312, 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0.001953098806552589, 0.008076435886323452, -0.013293338939547539]" +113,Local Coffee Roaster,Featuring specialty coffee from local roasters,Near Gate D6,Terminal 3,restaurant,Daily 7:00 am - 8:00 pm,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,07:00:00,20:00:00,Local Coffee Roaster is a restaurant. Featuring specialty coffee from local roasters,"[-0.009989919140934944, 0.010517958551645279, -0.0009085919591598213, -0.08377258479595184, -0.004734623711556196, -0.0024651382118463516, -0.015549399890005589, -0.0006719102384522557, -0.0017396220937371254, 0.0032893309835344553, 0.004295064602047205, 0.00398612767457962, 0.007718151900917292, -0.014088921248912811, 0.12570254504680634, -0.013194779865443707, -0.0034019697923213243, -0.013718104921281338, 0.025239428505301476, -0.0225142203271389, -0.012668783776462078, -0.02460603043437004, 0.041714753955602646, 0.003842392237856984, -0.01963438093662262, -0.008183034136891365, 0.01792929880321026, 0.017800098285079002, 0.03435699641704559, 0.011017530225217342, 0.0036106188781559467, 0.006299823522567749, 0.018809614703059196, 0.03373267874121666, 0.01516382023692131, 0.023654405027627945, 0.018134556710720062, -0.025667298585176468, 0.012997105717658997, 0.0012292498722672462, -0.04043017327785492, 0.01613890752196312, 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Gallery,Rotating exhibitions of regional and international artists,Main Concourse,All Terminals,facility,Daily 10:00 am - 6:00 pm,10:00:00,18:00:00,10:00:00,18:00:00,10:00:00,18:00:00,10:00:00,18:00:00,10:00:00,18:00:00,10:00:00,18:00:00,10:00:00,18:00:00,Art Gallery is a facility. 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+115,Duty-Free Spirits,"Spirits, wines, and liquors at duty-free prices",International Departures Hall,All Terminals,shop,Daily 9:00 am - 9:00 pm,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,09:00:00,21:00:00,"Duty-Free Spirits is a shop. Spirits, wines, and liquors at duty-free prices","[-0.011638161726295948, -0.017909221351146698, -0.0041346861980855465, -0.08742805570363998, -0.0065201157703995705, 0.0027039614506065845, -0.004985929466784, -0.008898823522031307, 0.012466832995414734, -0.006963587366044521, 0.0025205097626894712, -0.016049470752477646, 0.011944307014346123, -0.0010788397630676627, 0.1328336000442505, -0.0013381439493969083, 0.01933589205145836, -0.018508529290556908, 0.0291825532913208, -0.003063440090045333, -0.024219894781708717, -0.014371674507856369, -0.0006367485621012747, -0.013314944691956043, -0.009893176145851612, 0.017715033143758774, 0.014750761911273003, 0.014525216072797775, 0.013188274577260017, -0.0038345586508512497, -0.00836156401783228, 0.028451599180698395, 0.008129937574267387, 0.012517551891505718, 0.025466378778219223, -0.002706018975004554, -0.009285016916692257, -0.01737106591463089, 0.0015676928451284766, -0.02505711279809475, -0.0026084023993462324, 0.007649172097444534, 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-0.005552355200052261, -0.004559692461043596]" +116,Sushi & Sake Bar,"Fresh sushi, rolls, and an extensive sake selection",Near Gate C16,Terminal 2,restaurant,Daily 11:00 am - 10:00 pm,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,11:00:00,22:00:00,"Sushi & Sake Bar is a restaurant. Fresh sushi, rolls, and an extensive sake selection","[-0.015581270679831505, -0.01658470928668976, -0.007303022779524326, -0.07791728526353836, -0.015738017857074738, -0.019524894654750824, 0.0026061281096190214, 0.006281258072704077, 0.004618516657501459, 0.010602868162095547, 0.006833861581981182, 0.004291280172765255, 0.02044888213276863, -0.0077816154807806015, 0.11342968791723251, -0.023166628554463387, 0.005322186276316643, -0.022659599781036377, -0.0008514244691468775, -0.019596675410866737, 0.006055149249732494, -0.024728761985898018, 0.008585781790316105, 0.00290150148794055, 0.01229777280241251, -0.014329214580357075, 0.02334749884903431, 0.007058147806674242, 0.036158088594675064, 0.0256381593644619, 0.0009114985004998744, 0.007640806958079338, 0.03127738833427429, 0.0196318868547678, 0.014741583727300167, -0.0018540263408795, 0.0036925531458109617, -0.012600203976035118, -0.003963949624449015, 0.002455742098391056, -0.017988214269280434, 0.024826470762491226, 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8:00 pm,09:00:00,20:00:00,09:00:00,20:00:00,09:00:00,20:00:00,09:00:00,20:00:00,09:00:00,20:00:00,09:00:00,20:00:00,,,Play Port Arcade is a facility. Classic and modern arcade games for all ages,"[-0.021930625662207603, -0.014054665341973305, 0.022493688389658928, -0.06466791033744812, -0.011780569329857826, 0.010410143062472343, -0.0358332097530365, -0.0015539453597739339, 0.013539254665374756, -0.0022700964473187923, -0.012390876188874245, -0.00587244750931859, -0.029497753828763962, 0.024730762466788292, 0.11773694306612015, 0.003700766945257783, -0.025096002966165543, -0.015961002558469772, 0.003151307813823223, 0.004704620689153671, 0.004799422807991505, -0.03236562758684158, -0.005102751310914755, -0.004883461631834507, 0.02180158905684948, 0.00565092358738184, 0.02536989375948906, 0.013189539313316345, 0.015582663007080555, 0.007558759767562151, -0.017831819131970406, -0.0014360671630129218, -0.0010722879087552428, 0.018396619707345963, 0.012956987135112286, 0.022801166400313377, 0.01910475082695484, 0.006326492875814438, -0.0028137709014117718, 0.004718329291790724, -0.016958532854914665, 0.0016171865863725543, 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+119,Fresh Market,"Grab-and-go salads, sandwiches, and healthy snacks",Near Gate A5,International Terminal A,restaurant,Sunday-Friday 8:00 am - 7:00 pm,08:00:00,19:00:00,08:00:00,19:00:00,08:00:00,19:00:00,08:00:00,19:00:00,08:00:00,19:00:00,08:00:00,19:00:00,,,"Fresh Market is a restaurant. Grab-and-go salads, sandwiches, and healthy snacks","[-0.021961882710456848, 0.008047430776059628, -0.01692112535238266, -0.06580673158168793, -0.006590832024812698, -0.010291342623531818, -0.008894271217286587, 0.025321682915091515, 0.001419764943420887, 0.014728998765349388, -0.0012357283849269152, -0.002926945686340332, -0.006335031241178513, -0.00267181359231472, 0.10382156074047089, -0.0201279204338789, 0.007297576405107975, -0.010370954871177673, 0.001112290658056736, -0.005610538646578789, 0.00624838238582015, -0.004605267196893692, 0.012980882078409195, 0.01501588523387909, -0.009603496640920639, -0.008660737425088882, 0.024326851591467857, 0.01887545920908451, 0.0341157540678978, 0.032194845378398895, -0.005880465731024742, 0.0020618143025785685, 0.017714548856019974, 0.04713883996009827, 0.0028998374473303556, 0.0051351613365113735, 0.004667380359023809, -0.02782277762889862, 0.00703375693410635, -0.009514016099274158, -0.01328649464994669, 0.017232321202754974, 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breastfeeding and infant care,Near Gate C11,Terminal 2,facility,24/7,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,00:00:00,23:59:00,Airport Nursery is a facility. 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golf experience for practice and fun,Near Gate A19,International Terminal A,facility,Sunday-Thursday 10:00 am - 8:00 pm,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,10:00:00,20:00:00,,,,,Golf Simulator is a facility. Virtual golf experience for practice and fun,"[0.0029647161718457937, -0.01211845688521862, 0.011477222666144371, -0.07055418938398361, 0.008648429997265339, 0.0020969791803508997, -0.005880248267203569, -0.009185201488435268, -0.013164995238184929, 0.012823366560041904, -0.01299112755805254, 0.0046766637824475765, -0.015809159725904465, 0.02959565259516239, 0.1193072646856308, 0.005145083647221327, -0.007696964778006077, -0.013245188631117344, -0.005697077140212059, 0.011955165304243565, -0.0024492081720381975, -0.009302094578742981, -0.0012010245118290186, -0.020263489335775375, 0.010687561705708504, 0.0046462565660476685, 0.028049811720848083, 0.01566796377301216, 0.02314509078860283, -0.015196884982287884, -0.00597574794664979, 0.018997058272361755, 0.009572559967637062, 0.01814182847738266, -0.004598989617079496, 0.009542297571897507, 0.011091955937445164, -0.0037212849128991365, -0.008039744570851326, -0.013945219106972218, -0.03686615452170372, -0.013045590370893478, 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0.011122678406536579, 0.0031924513168632984]" +126,Tax Refund Service,Claim tax refunds on eligible purchases,International Departures Hall,Terminal 1,facility,Daily 8:00 am-11:00 pm,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,08:00:00,23:00:00,Tax Refund Service is a facility. 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-0.0032932511530816555]" diff --git a/data/cymbalair_policy.csv b/data/cymbalair_policy.csv index 42a3f131a..0caec7f0d 100644 --- a/data/cymbalair_policy.csv +++ b/data/cymbalair_policy.csv @@ -1,25 +1,25 @@ -id,content,embedding +id,content,embedding 0,"# Cymbal Air: Passenger Policy ## Ticket Purchase and Changes -Types of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.","[0.06270501762628555, -0.029448790475726128, -0.026154864579439163, -0.004196483176201582, 0.019549543038010597, 0.01474185474216938, -0.004162536468356848, 0.0417911522090435, -0.022346965968608856, 0.008177164010703564, -0.022937515750527382, -0.04907158017158508, 0.019042547792196274, -0.022937528789043427, 0.00407760962843895, -0.006361702457070351, 0.06692929565906525, -0.11086644232273102, -0.011857734993100166, 0.017124027013778687, 0.056994445621967316, 0.008696908131241798, 0.022323084995150566, -0.0023275057319551706, -0.02343495562672615, -0.023526372388005257, -0.015036290511488914, 0.031343039125204086, -0.021181745454669, 0.001208969741128385, 0.03899291530251503, -0.016267480328679085, 0.026874100789427757, -0.000669322325848043, -0.05224571004509926, 0.00840785726904869, 0.04986147582530975, -0.02916882559657097, 0.009741152636706829, -0.016071071848273277, 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There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.","[1.1489464668557048e-05, -0.04417964816093445, -0.013543735258281231, 0.002646843669936061, -0.01887943223118782, -0.010727466084063053, 0.010153484530746937, 0.03505353257060051, 0.002640416845679283, 0.016271473839879036, 0.008542485535144806, -0.041314903646707535, 0.01286915224045515, -0.027897773310542107, -0.023653613403439522, -0.004843604750931263, 0.06502345949411392, -0.11364666372537613, -0.0010558441281318665, -0.002368893241509795, 0.03692156821489334, 0.002206284087151289, 0.037736959755420685, -0.01009274646639824, 0.0010775597766041756, -0.03889409080147743, 0.0010773736285045743, 0.01980048231780529, -0.029793180525302887, -0.010355527512729168, 0.025571979582309723, -0.047521915286779404, 0.0061652157455682755, 0.021566171199083328, -0.03666559234261513, -0.010032066144049168, 0.03103993460536003, -0.01567891053855419, 0.007794647011905909, -0.0322665311396122, 0.005515735596418381, -0.040037140250205994, 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For non-refundable tickets, there will be no cost associated with cancellation within 24 hours of ticket purchase. After 24 hours of ticket purchase, there will be a $200 fee for ticket cancellation. Cancellations less than 24 hours before scheduled departure receive no refund.","[-0.033315375447273254, 0.009585252963006496, -0.016618503257632256, -0.04470064118504524, 0.022021599113941193, 0.002971410285681486, 0.003703478490933776, 0.10548017919063568, 0.010750357992947102, -0.003334163688123226, 0.040194734930992126, -0.007091666106134653, -0.005711633712053299, -0.006944592110812664, -0.0030759251676499844, 0.07760313153266907, 0.04639169201254845, -0.06463348865509033, 0.019334884360432625, -0.012662503868341446, -0.030709950253367424, 0.03657197952270508, -0.009274332784116268, -0.06590959429740906, -0.02879856713116169, -0.041841939091682434, -0.0003235194890294224, -0.013094103895127773, -0.0022060188930481672, -0.018390465527772903, 0.015901535749435425, -0.053303882479667664, 0.02480500191450119, 0.02978154644370079, -0.06925161927938461, -0.041373301297426224, 0.040662337094545364, 0.004586257040500641, 0.04970845952630043, 0.02155141532421112, 0.02291903831064701, 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Refunds for non-refundable tickets, less fees, will be refunded in the form of a trip credit which can be applied to future Cymbal Air flights.","[-0.005318467039614916, -0.033504363149404526, -0.022186005488038063, -0.024044685065746307, 0.015690194442868233, -0.004157149698585272, -0.008019947446882725, 0.05813444033265114, 0.030253097414970398, -0.006585791241377592, -0.006598087027668953, -0.0266112070530653, 0.020929185673594475, -0.022179609164595604, 0.03234799951314926, 0.04554928466677666, 0.04722725600004196, -0.06924184411764145, 0.01731746271252632, 0.021038103848695755, 0.02682136930525303, 0.04355723783373833, -0.01151168905198574, 0.0024600985925644636, -0.03936709091067314, -0.025360839441418648, -0.01207179855555296, 0.015977958217263222, -0.013541700318455696, -0.006010372191667557, 0.03645458444952965, -0.03510693460702896, 0.0021332264877855778, 0.029347416013479233, -0.035234104841947556, -0.009875384159386158, 0.04196711257100105, 0.0009944584453478456, 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There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.","[-0.023659581318497658, 0.0008153968374244869, 0.010398762300610542, -0.06825615465641022, 0.005459783598780632, 0.015716832131147385, 0.012423796579241753, 0.004153508227318525, -0.006393339950591326, -0.01259416900575161, -0.006592858117073774, -0.004209045320749283, 0.00883432012051344, -0.0012304726988077164, 0.10677912831306458, 0.010794328525662422, 0.0018229106208309531, -0.0014373547164723277, -3.4632874303497374e-05, 0.0010819151066243649, -0.005883443634957075, 0.01711871661245823, 0.01491276454180479, -0.014663479290902615, 0.015195884741842747, 0.012358637526631355, 0.007188335061073303, 0.012661009095609188, 0.01040602382272482, 0.010942935012280941, 0.023633982986211777, -0.0008740343037061393, 0.02640932984650135, 0.005939646158367395, -0.003719159634783864, 0.016333812847733498, 0.01016914565116167, 0.01791340857744217, -0.002934921532869339, 0.019292814657092094, -0.011939430609345436, 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For non-refundable tickets, there will be no cost associated with cancellation within 24 hours of ticket purchase. After 24 hours of ticket purchase, there will be a $200 fee for ticket cancellation. Cancellations less than 24 hours before scheduled departure receive no refund.","[-0.04180913046002388, -0.004865436814725399, -0.0105830617249012, -0.08677294850349426, -0.0006519141606986523, 0.006673568394035101, -0.004875061102211475, 0.002980738179758191, -0.014981667511165142, -0.023128865286707878, -0.005217665806412697, -0.00392727879807353, 0.002026756526902318, -0.029575156047940254, 0.128606915473938, -0.007502071093767881, 0.02787070721387863, -0.0013055667513981462, -0.028023039922118187, -0.00034210365265607834, -0.0025025303475558758, -0.008565863594412804, 0.005949454847723246, 0.013457917608320713, -0.006604092661291361, 0.025467200204730034, 0.005353046115487814, 0.00767234992235899, 0.01217033714056015, 0.020948993042111397, -0.005791000090539455, -0.02042040042579174, -0.008412663824856281, 0.001657910761423409, -0.0010047401301562786, 0.04511898383498192, -0.0031236254144459963, 0.026753636077046394, -0.003215668722987175, 0.011980555951595306, 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-0.01263007428497076, -0.0014564343728125095]" +3,"Payment of refunds: refunds for fully refundable tickets will be returned to the original method of payment within 3-5 business days. Refunds for non-refundable tickets, less fees, will be refunded in the form of a trip credit which can be applied to future Cymbal Air flights.","[-0.038368742913007736, 0.010312707163393497, 0.016443902626633644, -0.08310212939977646, 0.007682497147470713, -0.0028516652528196573, 0.014026646502315998, -0.016372468322515488, -0.0016947491094470024, -0.0235375314950943, -0.0032346826046705246, 0.004944426938891411, 0.0008614862454123795, -0.00937158428132534, 0.11402877420186996, 0.011337376199662685, -0.009642520919442177, -0.005182271357625723, -0.017853597179055214, 0.0036329736467450857, 0.015035044401884079, 0.012458519078791142, 0.016447406262159348, -0.01488217432051897, 0.024502651765942574, 0.009939638897776604, 0.009586555883288383, 0.02049361541867256, 0.006405623164027929, -0.004829729907214642, 0.02664371021091938, -0.012193804606795311, -0.00048722230712883174, -0.0058296555653214455, 0.00487186573445797, 0.02521939016878605, 0.005149275530129671, 0.02114732190966606, 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Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.","[0.019435187801718712, -0.0037556702736765146, 0.02552376128733158, 0.01096564345061779, 0.015737976878881454, 0.01130329817533493, 0.00023166643222793937, 0.06781462579965591, -0.019040381535887718, 0.018963145092129707, -0.0014944596914574504, -0.006447169929742813, -0.010107671841979027, -0.04205232113599777, -0.05787590891122818, 0.029478052631020546, 0.07108640670776367, -0.0961247906088829, -0.001972149359062314, 0.014465388841927052, 0.03600253909826279, -0.01512065902352333, 0.017059195786714554, -0.004590804222971201, 0.006954622454941273, -0.02905983477830887, 0.0013063991209492087, -0.0031190826557576656, -0.021369535475969315, 0.010408749803900719, 0.011391591280698776, -0.046294450759887695, -0.023932354524731636, -0.02043585665524006, -0.02021188661456108, 0.01624036394059658, 0.011137217283248901, 0.03264450281858444, -0.0036236264277249575, -0.004322638735175133, -0.0004821106558665633, 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Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.","[-0.018472842872142792, -0.014513874426484108, 0.01948722079396248, -0.06917892396450043, 0.014634250663220882, 0.008588244207203388, 0.005725934635847807, -0.012180340476334095, 0.01582491584122181, -0.0023257245775312185, -0.015855399891734123, -0.006256556138396263, 0.0038085882551968098, 0.0022813824471086264, 0.10873835533857346, -0.0016718258848413825, -0.011657224036753178, 0.009257810190320015, -0.006920922547578812, 0.0004689923080150038, -0.021684041246771812, 0.0033570793457329273, 0.01702009327709675, -0.017346130684018135, -0.00018070251098833978, 0.019310293719172478, 0.00844776351004839, 0.0007989558507688344, 0.019373737275600433, -0.014876410365104675, 0.001393357990309596, -0.013921269215643406, 0.008090878836810589, 0.005032140761613846, -0.0035470041912049055, 0.03153637424111366, 0.01792777143418789, 0.02657434344291687, -0.002632701536640525, 0.020619314163923264, -0.004199530463665724, 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These items must meet size and weight restrictions. -Liability: Cymbal Air assumes limited liability for lost, damaged, or delayed baggage. Passengers are encouraged to purchase travel insurance for additional protection.","[-0.01156617421656847, -0.01610875129699707, -0.019330188632011414, 0.008210181258618832, 0.025263376533985138, 0.005550941452383995, -0.012499557808041573, 0.03407582640647888, 0.018843606114387512, -0.011720248498022556, 0.0093379570171237, -0.050968240946531296, 0.001833694288507104, -0.04017658904194832, 0.022968126460909843, 0.01397574320435524, 0.06576930731534958, -0.08299268037080765, -0.01524294912815094, 0.024411246180534363, 0.04219222441315651, 0.004716041032224894, -0.001613793894648552, -0.018530070781707764, 0.012529298663139343, -0.033121705055236816, -0.00693236431106925, -0.03472810983657837, -0.011059990152716637, 0.025766339153051376, 0.0028090972919017076, -0.030604129657149315, -0.03139893338084221, -0.016072269529104233, -0.003482944332063198, 0.013567890040576458, 0.045758746564388275, -0.015102194622159004, -8.884105773176998e-05, -0.01745603233575821, 0.018802160397171974, 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Passengers are encouraged to purchase travel insurance for additional protection.","[-0.01560839544981718, -0.004704012535512447, 0.00690556550398469, -0.0694313794374466, 0.009252464398741722, 0.007360056042671204, -0.004501734860241413, -0.014038801193237305, 0.01675260439515114, 0.006870707962661982, -0.029039476066827774, -0.008597543463110924, -0.014808022417128086, 0.011866478249430656, 0.11423705518245697, 0.0025350276846438646, -0.016502538695931435, 0.0054215737618505955, 0.0019155510235577822, -0.010736409574747086, -0.003942067269235849, 0.007927467115223408, 0.014773004688322544, -0.02694958820939064, -0.010776367038488388, 0.0010650018230080605, -0.00022714065562468022, 0.008524303324520588, 0.008060258813202381, -0.006161272060126066, 0.01825922727584839, -0.014446163550019264, 0.007784592919051647, 0.012581247836351395, 0.008051113225519657, 0.012996864505112171, 0.0054971519857645035, 0.013405255042016506, -0.004549396689981222, 0.016633758321404457, 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Passengers are advised to check in online or at the airport kiosk within the specified timeframes before departure. Check-in deadlines are 1 hour prior to departure time. Boarding: Boarding will begin approximately 30 minutes prior to departure. Passengers must present a valid boarding pass and government-issued ID. -Gate Closure: Boarding gates close 10 minutes prior to departure. Late passengers may not be permitted to board.","[0.01635991968214512, -0.033938825130462646, -0.01967662014067173, -0.0438205748796463, 0.031001798808574677, -0.016657305881381035, -0.00882599875330925, 0.005541614256799221, -0.0022517156321555376, -0.023924337700009346, -0.025527093559503555, -0.010594825260341167, 0.023546630516648293, -0.008626964874565601, 0.054647304117679596, 0.006191818974912167, 0.04264894127845764, -0.06958477944135666, 0.015752559527754784, -0.05301830545067787, 0.0060370261780917645, 0.021152973175048828, 0.029428791254758835, -0.04497397318482399, -0.01361530926078558, -0.026016132906079292, 0.004758290480822325, -0.02010514959692955, -0.03482687100768089, 0.03126906976103783, 0.026477381587028503, -0.007590389344841242, 0.013890845701098442, 0.027233630418777466, -0.006846242118626833, -0.01146665494889021, 0.008392580784857273, -0.015490404330193996, 0.0070502301678061485, -0.051253970712423325, 0.01415732130408287, 0.01176675595343113, 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Please contact us at least 48 hours before departure to arrange assistance. -Unaccompanied Minors: We offer an unaccompanied minor program for children traveling alone. Fees apply. Contact us for details.","[0.030397452414035797, -0.031055737286806107, 0.01087904442101717, -0.005770022980868816, -0.013527847826480865, -0.010201869532465935, -0.012378926388919353, 0.02856653928756714, -0.026688899844884872, -0.028450805693864822, -0.05833999812602997, 0.022347815334796906, -0.011471387930214405, -0.051902491599321365, 0.05360865965485573, 0.027808496728539467, 0.08780879527330399, -0.10290394723415375, -0.01344179268926382, -0.001593204215168953, 0.05471516400575638, 0.02320619486272335, 0.024891335517168045, 0.022394997999072075, -0.010220044292509556, -0.008392120711505413, -0.020852502435445786, 0.010784395970404148, 0.04645482450723648, -0.015486753545701504, 0.0366409532725811, -0.006928281858563423, -0.04525628313422203, -0.04662810266017914, -0.027589989826083183, -0.013663011603057384, 0.0122618917375803, -0.03623145818710327, -0.00411466509103775, -0.042646512389183044, 0.0020449489820748568, -0.05815592408180237, -0.03888290375471115, 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Fees and restrictions apply. Please consult our website.,"[0.01498869713395834, -0.0005791340372525156, 0.015445192344486713, -0.04331566393375397, -0.0002293811849085614, -0.012283392250537872, 0.00207588542252779, 0.05348676070570946, -0.0010425045620650053, 0.001432653865776956, 0.005473771598190069, -0.0180425513535738, -0.048407647758722305, -0.0050701117143034935, -0.04124537110328674, 0.07689224928617477, 0.03972669318318367, -0.07408290356397629, -0.03691184148192406, -0.0067428783513605595, 0.0038220458664000034, -0.01633080467581749, -0.0007600245298817754, -0.03199481964111328, 0.08309170603752136, -0.031249135732650757, -0.018893947824835777, 0.017627689987421036, -0.0007276369724422693, -0.003306454047560692, 0.025402909144759178, -0.04105762392282486, -0.0018917041597887874, 0.03064975142478943, 0.0023905374109745026, 0.003609232371672988, 0.018616465851664543, 0.00481248926371336, 0.005820964463055134, -0.03985009714961052, -0.008062291890382767, -0.05168438330292702, -0.021192355081439018, 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Fees apply. Contact us for details.","[-0.014567567966878414, -0.0028374826069921255, 0.004882912617176771, -0.06836627423763275, 0.0005798155325464904, 0.017856396734714508, -0.003774084383621812, -0.012778013944625854, 0.019482620060443878, -0.005878086667507887, -0.033161114901304245, -0.00770659139379859, -0.0005749897682107985, 0.03578006476163864, 0.13023099303245544, 0.007248217705637217, -0.009463907219469547, 0.013012586161494255, -0.002113527851179242, -0.010695521719753742, -0.002694101771339774, 0.00384525116533041, 0.018163299188017845, -0.019064918160438538, -0.0034886563662439585, 0.01788804680109024, -0.000934700365178287, 0.011310234665870667, 0.00963094737380743, -0.0004889165284112096, 0.01155989058315754, -0.00664348853752017, 0.015402600169181824, 0.017547380179166794, -0.010659568943083286, 0.008173346519470215, 0.006798159331083298, 0.009210377000272274, 0.005068405997008085, 0.017286786809563637, -0.0005579495336860418, 0.027630260214209557, -0.0026988117024302483, 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baggage depending on size and breed. Fees and restrictions apply. Please consult our website.,"[-0.014582626521587372, -0.005450333934277296, 0.00351349962875247, -0.05658167973160744, 0.005838742479681969, 0.005350309889763594, 0.009274310432374477, 0.001569795305840671, -0.001355003914795816, -0.01715691015124321, -0.024856533855199814, -0.0062139639630913734, -0.008386007510125637, 0.007864164188504219, 0.12854886054992676, -0.01984696090221405, 0.009497283957898617, 0.0015103953192010522, -0.015626702457666397, -0.016606664285063744, -0.002634611912071705, 0.0160807054489851, 0.007153159473091364, -0.006226525641977787, -0.008701383136212826, 0.02694692462682724, -0.014411071315407753, 0.0008611928788013756, 0.016158927232027054, -0.0019010696560144424, 0.00529040303081274, -0.012963799759745598, -0.0010790491942316294, 0.0172199085354805, -0.002787511795759201, 0.03089580126106739, 0.0050745764747262, 0.022926297038793564, 0.0035573493223637342, -0.002145821461454034, 0.001252827001735568, 0.018622124567627907, 0.009641665033996105, 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0.005321798846125603]" 9,"## Overbooking -In the rare event of an overbooked flight, Cymbal Air will first seek volunteers to give up their seats in exchange for compensation. If insufficient volunteers are found, passengers may be denied boarding involuntarily in accordance with our overbooking policy.","[-0.01055570412427187, -0.01725376583635807, -0.042551685124635696, -0.018462462350726128, 0.02889467030763626, -0.014838406816124916, -0.02449580654501915, 0.03981291875243187, -0.013972806744277477, -0.0017934496281668544, -0.03923547640442848, -0.00500481715425849, -0.0016159520018845797, -0.025220414623618126, 0.022316932678222656, 0.019880766049027443, 0.09653149545192719, -0.08449406176805496, 0.027350522577762604, 0.000926232838537544, 0.05356843024492264, -0.01635684445500374, 0.0032285426277667284, -0.03274398297071457, -0.04803866147994995, -0.040379539132118225, -0.019140612334012985, -0.031198080629110336, -0.03647976741194725, -0.011226745322346687, 0.02809734456241131, 0.012323258444666862, -0.0029363378416746855, -0.02947601117193699, -0.07188747078180313, 0.03353236988186836, 0.021755054593086243, -0.0232672318816185, 0.0007205122383311391, 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If insufficient volunteers are found, passengers may be denied boarding involuntarily in accordance with our overbooking policy.","[-0.010174415074288845, -0.002995031652972102, 0.014388308860361576, -0.07443691045045853, 0.006782250013202429, 0.019670719280838966, 0.0065227956511080265, -0.02095552161335945, 0.009223933331668377, 0.011354614980518818, -0.005044249817728996, -0.004645657259970903, 2.830800076480955e-05, 0.007880184799432755, 0.12553876638412476, 0.02037995681166649, 0.004089828114956617, -0.0038148004096001387, 0.007127157878130674, 0.0033389851450920105, -0.01215235237032175, 0.0028485676739364862, 0.005472065880894661, -0.021665425971150398, 0.0029558613896369934, 0.005667582619935274, 0.016192542389035225, 0.013466722331941128, 0.03330174833536148, 0.0012449180940166116, 0.013677879236638546, -0.007895450107753277, 0.015643728896975517, 0.006885111331939697, -0.002994909882545471, 0.024616438895463943, 0.03097846359014511, 0.021016165614128113, 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Cancellations Cymbal Air strives to maintain on-time performance, but disruptions due to weather, mechanical issues, or other events may occur. In the event of delays or cancellations: Rebooking: We will make reasonable efforts to rebook affected passengers on the next available flight. -Compensation: Compensation may be provided in certain situations as outlined by our policies and regulations.","[-0.026616035029292107, -0.021685605868697166, -0.026586541905999184, -0.02002197690308094, -0.011948677711188793, 0.010129615664482117, -0.0064728450961411, 0.02518141269683838, 0.023837115615606308, -0.050440143793821335, 0.001897513517178595, -0.018383806571364403, 0.006973708048462868, -0.03384584188461304, 0.026218347251415253, 0.042265236377716064, 0.06351009756326675, -0.08265084028244019, 0.0004667959874495864, -0.013646604493260384, 0.03700154647231102, 0.027490872889757156, 0.027748841792345047, -0.00666997442021966, -0.05831081047654152, -0.009119873866438866, 0.011841243132948875, -0.016624506562948227, -0.026210445910692215, -0.00777389807626605, 0.017786696553230286, -0.016693618148565292, 0.0041273958049714565, 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for the specific language governing permissions and +# limitations under the License. + +import asyncio +import csv +import json +from datetime import time + +from toolbox_core import ToolboxClient + +from agent.tools import TOOLBOX_URL +from models import Airport, Amenity, Flight, Policy + + +async def export_data() -> tuple[ + list[Airport], + list[Amenity], + list[Flight], + list[Policy], +]: + async with ToolboxClient(TOOLBOX_URL) as toolbox: + execute_sql = await toolbox.load_tool("execute_sql") + airport_results, amenity_results, flights_results, policy_results = ( + await asyncio.gather( + execute_sql("""SELECT * FROM airports ORDER BY id ASC"""), + execute_sql("""SELECT * FROM amenities ORDER BY id ASC"""), + execute_sql("""SELECT * FROM flights ORDER BY id ASC"""), + execute_sql("""SELECT * FROM policies ORDER BY id ASC"""), + ) + ) + + def time_parser(dct): + if "Microseconds" in dct and "Valid" in dct: + microseconds = dct["Microseconds"] + seconds = microseconds // 1_000_000 + minutes, second = divmod(seconds, 60) + hour, minute = divmod(minutes, 60) + microsecond_part = microseconds % 1_000_000 + return time(hour, minute, second, microsecond_part) + return dct + + airports = [Airport.model_validate(a) for a in json.loads(airport_results)] + amenities = [ + Amenity.model_validate(a) + for a in json.loads(amenity_results, object_hook=time_parser) + ] + flights = [Flight.model_validate(f) for f in json.loads(flights_results)] + policies = [Policy.model_validate(p) for p in json.loads(policy_results)] + + return airports, amenities, flights, policies + + +async def export_dataset( + airports: list[Airport], + amenities: list[Amenity], + flights: list[Flight], + policies: list[Policy], + airports_new_path: str, + amenities_new_path: str, + flights_new_path: str, + policies_new_path: str, +) -> None: + with open(airports_new_path, "w") as f: + col_names = ["id", "iata", "name", "city", "country"] + writer = csv.DictWriter(f, col_names, delimiter=",") + writer.writeheader() + for airport in airports: + writer.writerow(airport.model_dump()) + + with open(amenities_new_path, "w") as f: + col_names = [ + "id", + "name", + "description", + "location", + "terminal", + "category", + "hour", + "sunday_start_hour", + "sunday_end_hour", + "monday_start_hour", + "monday_end_hour", + "tuesday_start_hour", + "tuesday_end_hour", + "wednesday_start_hour", + "wednesday_end_hour", + "thursday_start_hour", + "thursday_end_hour", + "friday_start_hour", + "friday_end_hour", + "saturday_start_hour", + "saturday_end_hour", + "content", + "embedding", + ] + writer = csv.DictWriter(f, col_names, delimiter=",") + writer.writeheader() + for amenity in amenities: + writer.writerow(amenity.model_dump()) + + with open(flights_new_path, "w") as f: + col_names = [ + "id", + "airline", + "flight_number", + "departure_airport", + "arrival_airport", + "departure_time", + "arrival_time", + "departure_gate", + "arrival_gate", + ] + writer = csv.DictWriter(f, col_names, delimiter=",") + writer.writeheader() + for fl in flights: + writer.writerow(fl.model_dump()) + + with open(policies_new_path, "w") as f: + col_names = [ + "id", + "content", + "embedding", + ] + writer = csv.DictWriter(f, col_names, delimiter=",") + writer.writeheader() + for p in policies: + writer.writerow(p.model_dump()) + + +async def main(): + airports, amenities, flights, policies = await export_data() + + airports_new_path = "data/airport_dataset.csv.new" + amenities_new_path = "data/amenity_dataset.csv.new" + flights_new_path = "data/flights_dataset.csv.new" + policies_new_path = "data/cymbalair_policy.csv.new" + + await export_dataset( + airports, + amenities, + flights, + policies, + airports_new_path, + amenities_new_path, + flights_new_path, + policies_new_path, + ) + + print("database export done.") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/data/run_database_init.py b/data/run_database_init.py new file mode 100644 index 000000000..f39d6ffde --- /dev/null +++ b/data/run_database_init.py @@ -0,0 +1,272 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import asyncio +import csv +from datetime import datetime, time + +from toolbox_core import ToolboxClient + +from agent.tools import TOOLBOX_URL +from models import Airport, Amenity, Flight, Policy + + +async def load_dataset( + airports_ds_path: str, + amenities_ds_path: str, + flights_ds_path: str, + policies_ds_path: str, +) -> tuple[ + list[Airport], + list[Amenity], + list[Flight], + list[Policy], +]: + airports: list[Airport] = [] + with open(airports_ds_path, "r") as f: + reader = csv.DictReader(f, delimiter=",") + airports = [Airport.model_validate(line) for line in reader] + + amenities: list[Amenity] = [] + with open(amenities_ds_path, "r") as f: + reader = csv.DictReader(f, delimiter=",") + amenities = [Amenity.model_validate(line) for line in reader] + + flights: list[Flight] = [] + with open(flights_ds_path, "r") as f: + reader = csv.DictReader(f, delimiter=",") + flights = [Flight.model_validate(line) for line in reader] + + policies: list[Policy] = [] + with open(policies_ds_path, "r") as f: + reader = csv.DictReader(f, delimiter=",") + policies = [Policy.model_validate(line) for line in reader] + + return airports, amenities, flights, policies + + +def __escape_sql(value): + if value is None: + return "NULL" + if isinstance(value, str): + return f"""'{value.replace("'", "''")}'""" + if isinstance(value, list): + return f"""'{value}'""" + if isinstance(value, time) or isinstance(value, datetime): + return f"""'{value}'""" + return value + + +async def initialize_data( + airports: list[Airport], + amenities: list[Amenity], + flights: list[Flight], + policies: list[Policy], +) -> None: + async with ToolboxClient(TOOLBOX_URL) as toolbox: + execute_sql = await toolbox.load_tool("execute_sql") + + # If the table already exists, drop it to avoid conflicts + await execute_sql("DROP TABLE IF EXISTS airports CASCADE") + # Create a new table + await execute_sql( + """ + CREATE TABLE airports( + id INT PRIMARY KEY, + iata TEXT, + name TEXT, + city TEXT, + country TEXT + ) + """ + ) + # Insert all the data + values = [ + f"""( + {__escape_sql(a.id)}, + {__escape_sql(a.iata)}, + {__escape_sql(a.name)}, + {__escape_sql(a.city)}, + {__escape_sql(a.country)} + )""" + for a in airports + ] + await execute_sql(f"""INSERT INTO airports VALUES {", ".join(values)}""") + print("Airports table initialized") + + await execute_sql( + "CREATE EXTENSION IF NOT EXISTS google_ml_integration CASCADE" + ) + await execute_sql("CREATE EXTENSION IF NOT EXISTS vector") + # If the table already exists, drop it to avoid conflicts + await execute_sql("DROP TABLE IF EXISTS amenities CASCADE") + # Create a new table + await execute_sql( + """ + CREATE TABLE amenities( + id INT PRIMARY KEY, + name TEXT, + description TEXT, + location TEXT, + terminal TEXT, + category TEXT, + hour TEXT, + sunday_start_hour TIME, + sunday_end_hour TIME, + monday_start_hour TIME, + monday_end_hour TIME, + tuesday_start_hour TIME, + tuesday_end_hour TIME, + wednesday_start_hour TIME, + wednesday_end_hour TIME, + thursday_start_hour TIME, + thursday_end_hour TIME, + friday_start_hour TIME, + friday_end_hour TIME, + saturday_start_hour TIME, + saturday_end_hour TIME, + content TEXT NOT NULL, + embedding vector(3072) NOT NULL + ) + """ + ) + # Insert all the data + values = [ + f"""( + {__escape_sql(a.id)}, + {__escape_sql(a.name)}, + {__escape_sql(a.description)}, + {__escape_sql(a.location)}, + {__escape_sql(a.terminal)}, + {__escape_sql(a.category)}, + {__escape_sql(a.hour)}, + {__escape_sql(a.sunday_start_hour)}, + {__escape_sql(a.sunday_end_hour)}, + {__escape_sql(a.monday_start_hour)}, + {__escape_sql(a.monday_end_hour)}, + {__escape_sql(a.tuesday_start_hour)}, + {__escape_sql(a.tuesday_end_hour)}, + {__escape_sql(a.wednesday_start_hour)}, + {__escape_sql(a.wednesday_end_hour)}, + {__escape_sql(a.thursday_start_hour)}, + {__escape_sql(a.thursday_end_hour)}, + {__escape_sql(a.friday_start_hour)}, + {__escape_sql(a.friday_end_hour)}, + {__escape_sql(a.saturday_start_hour)}, + {__escape_sql(a.saturday_end_hour)}, + {__escape_sql(a.content)}, + {__escape_sql(a.embedding)} + )""" + for a in amenities + ] + await execute_sql(f"""INSERT INTO amenities VALUES {", ".join(values)}""") + print("Amenities table initialized") + + # If the table already exists, drop it to avoid conflicts + await execute_sql("DROP TABLE IF EXISTS flights CASCADE") + # Create a new table + await execute_sql( + """ + CREATE TABLE flights( + id INTEGER PRIMARY KEY, + airline TEXT, + flight_number TEXT, + departure_airport TEXT, + arrival_airport TEXT, + departure_time TIMESTAMP, + arrival_time TIMESTAMP, + departure_gate TEXT, + arrival_gate TEXT + ) + """ + ) + # Insert all the data + values = [ + f"""( + {__escape_sql(f.id)}, + {__escape_sql(f.airline)}, + {__escape_sql(f.flight_number)}, + {__escape_sql(f.departure_airport)}, + {__escape_sql(f.arrival_airport)}, + {__escape_sql(f.departure_time)}, + {__escape_sql(f.arrival_time)}, + {__escape_sql(f.departure_gate)}, + {__escape_sql(f.arrival_gate)} + )""" + for f in flights + ] + await execute_sql(f"""INSERT INTO flights VALUES {", ".join(values)}""") + print("Flights table initialized") + + # If the table already exists, drop it to avoid conflicts + await execute_sql("DROP TABLE IF EXISTS tickets CASCADE") + # Create a new table + await execute_sql( + """ + CREATE TABLE tickets( + user_id TEXT, + user_name TEXT, + user_email TEXT, + airline TEXT, + flight_number TEXT, + departure_airport TEXT, + arrival_airport TEXT, + departure_time TIMESTAMP, + arrival_time TIMESTAMP + ) + """ + ) + print("Tickets table initialized") + + # If the table already exists, drop it to avoid conflicts + await execute_sql("DROP TABLE IF EXISTS policies CASCADE") + # Create a new table + await execute_sql( + """ + CREATE TABLE policies( + id INT PRIMARY KEY, + content TEXT NOT NULL, + embedding vector(3072) NOT NULL + ) + """ + ) + # Insert all the data + values = [ + f"""( + {__escape_sql(p.id)}, + {__escape_sql(p.content)}, + {__escape_sql(p.embedding)} + )""" + for p in policies + ] + await execute_sql(f"""INSERT INTO policies VALUES {", ".join(values)}""") + print("Policies table initialized") + + +async def main() -> None: + airports_ds_path = "data/airport_dataset.csv" + amenities_ds_path = "data/amenity_dataset.csv" + flights_ds_path = "data/flights_dataset.csv" + policies_ds_path = "data/cymbalair_policy.csv" + + airports, amenities, flights, policies = await load_dataset( + airports_ds_path, amenities_ds_path, flights_ds_path, policies_ds_path + ) + await initialize_data(airports, amenities, flights, policies) + + print("database init done.") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/retrieval_service/run_generate_embeddings.py b/data/run_generate_embeddings.py similarity index 78% rename from retrieval_service/run_generate_embeddings.py rename to data/run_generate_embeddings.py index c1bf477eb..fb7703d14 100644 --- a/retrieval_service/run_generate_embeddings.py +++ b/data/run_generate_embeddings.py @@ -17,34 +17,35 @@ from langchain_google_vertexai import VertexAIEmbeddings -import models -from app import EMBEDDING_MODEL_NAME +from models import Amenity, Policy + +EMBEDDING_MODEL_NAME = "gemini-embedding-001" async def main() -> None: embed_service = VertexAIEmbeddings(model_name=EMBEDDING_MODEL_NAME) - amenities: list[models.Amenity] = [] - with open("../data/amenity_dataset.csv", "r") as f: + amenities: list[Amenity] = [] + with open("data/amenity_dataset.csv", "r") as f: reader = csv.DictReader(f, delimiter=",") for line in reader: - amenity = models.Amenity.model_validate(line) + amenity = Amenity.model_validate(line) if amenity.content: - amenity.embedding = embed_service.embed_query(amenity.content) + amenity.embedding = embed_service.embed_documents([amenity.content])[0] amenities.append(amenity) - policies: list[models.Policy] = [] - with open("../data/cymbalair_policy.csv", "r") as f: + policies: list[Policy] = [] + with open("data/cymbalair_policy.csv", "r") as f: reader = csv.DictReader(f, delimiter=",") for line in reader: - policy = models.Policy.model_validate(line) + policy = Policy.model_validate(line) if policy.content: - policy.embedding = embed_service.embed_query(policy.content) + policy.embedding = embed_service.embed_documents([policy.content])[0] policies.append(policy) print("Completed embedding generation.") - with open("../data/amenity_dataset.csv.new", "w") as f: + with open("data/amenity_dataset.csv.new", "w") as f: col_names = [ "id", "name", @@ -75,7 +76,7 @@ async def main() -> None: for amenity in amenities: writer.writerow(amenity.model_dump()) - with open("../data/cymbalair_policy.csv.new", "w") as f: + with open("data/cymbalair_policy.csv.new", "w") as f: col_names = [ "id", "content", diff --git a/retrieval_service/run_generate_policy_dataset.py b/data/run_generate_policy_dataset.py similarity index 97% rename from retrieval_service/run_generate_policy_dataset.py rename to data/run_generate_policy_dataset.py index 42e8d0661..5b6758ea1 100644 --- a/retrieval_service/run_generate_policy_dataset.py +++ b/data/run_generate_policy_dataset.py @@ -21,11 +21,11 @@ RecursiveCharacterTextSplitter, ) -from app import EMBEDDING_MODEL_NAME +from .run_generate_embeddings import EMBEDDING_MODEL_NAME def main() -> None: - policies_ds_path = "../data/cymbalair_policy.csv" + policies_ds_path = "data/cymbalair_policy.csv" chunked = text_split(_POLICY) data_embeddings = vectorize(chunked) @@ -68,7 +68,7 @@ def retry_with_backoff(func, *args, retry_delay=5, backoff_factor=2, **kwargs): print(f"Retry after waiting for {wait} seconds...") time.sleep(wait) - batch_size = 5 + batch_size = 1 for i in range(0, len(chunked), batch_size): request = [x["content"] for x in chunked[i : i + batch_size]] response = retry_with_backoff(embed_service.embed_documents, request) @@ -77,7 +77,6 @@ def retry_with_backoff(func, *args, retry_delay=5, backoff_factor=2, **kwargs): x["embedding"] = e data_embeddings = pd.DataFrame(chunked) - data_embeddings.head() return data_embeddings diff --git a/docs/clean_up.md b/docs/clean_up.md index 279a6b1bb..6067bd556 100644 --- a/docs/clean_up.md +++ b/docs/clean_up.md @@ -6,7 +6,7 @@ through this demo. ## Before you begin -1. Set your PROJECT_ID environment variable: +1. Set your `PROJECT_ID` environment variable: ```bash export PROJECT_ID= @@ -17,19 +17,21 @@ through this demo. 1. Delete the Cloud Run service deployed: ```bash - gcloud run services delete retrieval-service + gcloud run services delete toolbox ``` 1. Delete service account: ```bash gcloud iam service-accounts delete \ - retrieval-identity@$PROJECT_ID.iam.gserviceaccount.com + toolbox-identity@$PROJECT_ID.iam.gserviceaccount.com ``` ## Delete datastore resources -* [Clean up Alloydb](./datastore/alloydb.md#clean-up-resources) -* [Clean up Firestore](./datastore/firestore.md#clean-up-resources) -* [Clean up Cloud SQL for Postgres](./datastore/cloudsql_postgres.md#clean-up-resources) -* [Clean up Cloud SQL for MySQL](./datastore/cloudsql_mysql.md#clean-up-resources) +* **[AlloyDB for PostgreSQL](https://cloud.google.com/alloydb/docs/quickstart/create-and-connect#clean-up)** +* **[Cloud SQL for PostgreSQL](https://cloud.google.com/sql/docs/postgres/connect-instance-cloud-shell#clean-up)** +* **[Cloud SQL for MySQL](https://cloud.google.com/sql/docs/mysql/connect-instance-cloud-shell#clean-up)** +* **[Cloud SQL for SQL Server](https://cloud.google.com/sql/docs/sqlserver/connect-instance-cloud-shell#clean-up)** +* **[BigQuery](https://cloud.google.com/bigquery/docs/quickstarts/load-data-console#clean-up)** +* **[Spanner](https://cloud.google.com/spanner/docs/create-query-database-console#clean-up)** diff --git a/docs/database_setup.md b/docs/database_setup.md new file mode 100644 index 000000000..67d6c75ee --- /dev/null +++ b/docs/database_setup.md @@ -0,0 +1,219 @@ +# Database Setup Guide + +This guide provides detailed instructions for setting up and configuring the +supported databases for Cymbal Air. This setup is required to populate the +database with the necessary data for the application to use. + +> [!NOTE] +> This setup is only compatible with tools that support the `execute-sql` +> command. If you have already set up your own databases and they are populated +> with the required data, you may skip this step. + +## Setup Instructions + +Follow the steps below for the database of your choice: + +### **1. Create Your Database Instance** + +First, you need to create an instance of your chosen database. For detailed +instructions, select the appropriate guide below. If you already have an +instance, you can proceed to the next step. + +* **[AlloyDB for PostgreSQL](https://cloud.google.com/alloydb/docs/quickstart)** +* **[Cloud SQL for PostgreSQL](https://cloud.google.com/sql/docs/postgres/quickstart)** +* **[Cloud SQL for MySQL](https://cloud.google.com/sql/docs/mysql/quickstart)** +* **[Cloud SQL for SQL Server](https://cloud.google.com/sql/docs/sqlserver/quickstart)** +* **[BigQuery](https://cloud.google.com/bigquery/docs/quickstarts/load-data-console)** +* **[Spanner](https://cloud.google.com/spanner/docs/quickstart-console)** +* **[PostgreSQL](https://www.postgresql.org/download/)** + + +### **2. Configure Environment Variables** + +Next, configure the necessary environment variables in your terminal. These +variables are used by the MCP Toolbox to connect to your database for the +initial data load. + +
+
AlloyDB for PostgreSQL + +```bash +export ALLOYDB_POSTGRES_PROJECT="" +export ALLOYDB_POSTGRES_REGION="" +export ALLOYDB_POSTGRES_CLUSTER="" +export ALLOYDB_POSTGRES_INSTANCE="" +export ALLOYDB_POSTGRES_DATABASE="" +export ALLOYDB_POSTGRES_USER="" +export ALLOYDB_POSTGRES_PASSWORD="" +``` + +
+Cloud SQL for PostgreSQL + +```bash +export CLOUD_SQL_POSTGRES_PROJECT="" +export CLOUD_SQL_POSTGRES_REGION="" +export CLOUD_SQL_POSTGRES_INSTANCE="" +export CLOUD_SQL_POSTGRES_DATABASE="" +export CLOUD_SQL_POSTGRES_USER="" +export CLOUD_SQL_POSTGRES_PASSWORD="" +``` +
+
+Cloud SQL for MySQL + +```bash +export CLOUD_SQL_MYSQL_PROJECT="" +export CLOUD_SQL_MYSQL_REGION="" +export CLOUD_SQL_MYSQL_INSTANCE="" +export CLOUD_SQL_MYSQL_DATABASE="" +export CLOUD_SQL_MYSQL_USER="" +export CLOUD_SQL_MYSQL_PASSWORD="" +``` +
+
+Cloud SQL for SQL Server + +```bash +export CLOUD_SQL_MSSQL_PROJECT="" +export CLOUD_SQL_MSSQL_REGION="" +export CLOUD_SQL_MSSQL_INSTANCE="" +export CLOUD_SQL_MSSQL_DATABASE="" +export CLOUD_SQL_MSSQL_IP_ADDRESS="" +export CLOUD_SQL_MSSQL_USER="" +export CLOUD_SQL_MSSQL_PASSWORD="" +``` +
+
+BigQuery + +```bash +export BIGQUERY_PROJECT="" +``` +
+
+Spanner + +```bash +export SPANNER_PROJECT="" +export SPANNER_INSTANCE="" +export SPANNER_DATABASE="" +``` +
+
+PostgreSQL + +```bash +export POSTGRES_HOST="" +export POSTGRES_PORT="" +export POSTGRES_DATABASE="" +export POSTGRES_USER="" +export POSTGRES_PASSWORD="" +``` +
+ +### **3. Run Toolbox for Data Initialization** + +With the environment variables set, run the MCP Toolbox with the `--prebuilt` +flag corresponding to your chosen database. This will start a temporary server +to allow for data initialization. + +* **For AlloyDB for Postgres:** + ```bash + ./toolbox --prebuilt alloydb-postgres + ``` + +* **For CloudSQL for Posgres:** + ```bash + ./toolbox --prebuilt cloud-sql-postgres + ``` + +* **For Cloud SQL for MySQL:** + ```bash + ./toolbox --prebuilt cloud-sql-mysql + ``` + +* **For Cloud SQL for SQL Server:** + ```bash + ./toolbox --prebuilt cloud-sql-mssql + ``` + +* **For BigQuery:** + ```bash + ./toolbox --prebuilt bigquery + ``` + +* **For Spanner:** + ```bash + ./toolbox --prebuilt spanner + ``` + +* **For PostgreSQL:** + ```bash + ./toolbox --prebuilt postgres + ``` + +### 4. Install the Dependencies + +Install the dependencies using `pip`. You may wish to do this in a virtual +environment, e.g. [venv](https://docs.python.org/3/library/venv.html): + +```bash +pip install -r requirements.txt +``` + +### **5. Initialize the Database** + +While Toolbox is running, open a new terminal and execute the database +initialization script. This will populate your database with the Cymbal Air +data. + +```bash +python data/run_database_init.py +``` + +> [!TIP] +> You can also run `data/run_database_export.py` to export all data from your +> database to CSV. + +### **6. Create the Final Toolbox Configuration** + +Once the database is initialized, stop the temporary Toolbox server (with +`Cmd+C` or `Ctrl+C`). Now, create a `tools.yaml` file to define the data +sources, authentication, and tools for the agentic app. + +Your `tools.yaml` file must contain the following sections: + +* **A `sources` section** + + Configure this section with a data source named `my-pg-instance` according to + the **[official guide on configuring data + sources](https://googleapis.github.io/genai-toolbox/resources/sources/)**. + +* **[Optional] An `authServices` section** + + Only required if you want to enable ticket-related features like booking or + viewing a user's ticket history. To set it up, add a service named + `my_google_service` by following the **[`authServices` configuration + guide](https://googleapis.github.io/genai-toolbox/resources/authservices/)**. + +* **The `tools` and `toolsets` sections** + + You don't need to write these from scratch. Simply copy the `tools` and + `toolsets` sections directly from the [`tools.yaml`](../tools.yaml) file located + in the root of this repository and paste them into your new configuration file. + +> [!TIP] +> You will need to **[create a Client +> ID](https://support.google.com/cloud/answer/6158849)** for your app. + +### **7. Launch the Toolbox** + +Finally, restart the Toolbox with your new `tools.yaml` config: + +```bash +./toolbox --tools-file=PATH/TO/YOUR/tools.yaml +``` + +With these steps, your database is now set up and ready to be used with Cymbal +Air. diff --git a/docs/datastore/alloydb.md b/docs/datastore/alloydb.md deleted file mode 100644 index 697f5fe06..000000000 --- a/docs/datastore/alloydb.md +++ /dev/null @@ -1,273 +0,0 @@ -# Setup and configure AlloyDB (with Public IP) - -## Before you begin - -1. Make sure you have a Google Cloud project and billing is enabled. - -1. Set your `PROJECT_ID` environment variable: - - ```bash - export PROJECT_ID= - ``` - -1. [Install](https://cloud.google.com/sdk/docs/install) the gcloud CLI. - -1. Set gcloud project: - - ```bash - gcloud config set project $PROJECT_ID - ``` - -1. Enable APIs: - - ```bash - gcloud services enable alloydb.googleapis.com \ - compute.googleapis.com \ - cloudresourcemanager.googleapis.com \ - servicenetworking.googleapis.com \ - vpcaccess.googleapis.com \ - aiplatform.googleapis.com - ``` - -1. [Install python][install-python] and set up a python [virtual environment][venv]. - -1. Make sure you have python version 3.11+ installed. - - ```bash - python -V - ``` - -1. Download and install [postgres-client cli (`psql`)][install-psql]. - -1. Install the [AlloyDB Auth Proxy][install-alloydb-auth-proxy]. - -[install-python]: https://cloud.google.com/python/docs/setup#installing_python -[venv]: https://cloud.google.com/python/docs/setup#installing_and_using_virtualenv -[install-psql]: https://www.timescale.com/blog/how-to-install-psql-on-mac-ubuntu-debian-windows/ -[install-alloydb-auth-proxy]: https://cloud.google.com/alloydb/docs/auth-proxy/connect#install - - -## Enable private services access - -In this step, we will enable Private Services Access so that AlloyDB is able to -connect to your VPC. You should only need to do this once per VPC (per project). - -1. Set environment variables: - - ```bash - export RANGE_NAME=my-allocated-range-default - export DESCRIPTION="peering range for alloydb-service" - ``` - -1. Create an allocated IP address range: - - ```bash - gcloud compute addresses create $RANGE_NAME \ - --global \ - --purpose=VPC_PEERING \ - --prefix-length=16 \ - --description="$DESCRIPTION" \ - --network=default - ``` - -1. Create a private connection: - - ```bash - gcloud services vpc-peerings connect \ - --service=servicenetworking.googleapis.com \ - --ranges="$RANGE_NAME" \ - --network=default - ``` - - -## Create an AlloyDB cluster - -1. Set environment variables. For security reasons, use a different password for - `$DB_PASS` and note it for future use: - - ```bash - export CLUSTER=my-alloydb-cluster - export INSTANCE=my-alloydb-instance - export REGION=us-central1 - export DB_USER=postgres - export DB_PASS=my-alloydb-pass - ``` - -1. Create an AlloyDB cluster: - - ```bash - gcloud alloydb clusters create $CLUSTER \ - --password=$DB_PASS\ - --network=default \ - --region=$REGION \ - --project=$PROJECT_ID - ``` - -1. Create a primary instance: - - ```bash - gcloud alloydb instances create $INSTANCE \ - --instance-type=PRIMARY \ - --cpu-count=8 \ - --region=$REGION \ - --cluster=$CLUSTER \ - --project=$PROJECT_ID \ - --ssl-mode=ALLOW_UNENCRYPTED_AND_ENCRYPTED \ - --database-flags=password.enforce_complexity=on - ``` - -1. Enable public IP on instance: - - ```bash - gcloud alloydb instances update $INSTANCE \ - --cluster=$CLUSTER \ - --region=$REGION \ - --assign-inbound-public-ip=ASSIGN_IPV4 - ``` - - -## Connect to the AlloyDB instance - -1. Connect to instance using AlloyDB auth proxy: - - ```bash - ./alloydb-auth-proxy --public-ip \ - "projects/$PROJECT_ID/locations/$REGION/clusters/$CLUSTER/instances/$INSTANCE" - ``` - -1. Verify you can connect to your instance with the `psql` tool. Enter - password for AlloyDB (`$DB_PASS` environment variable set above) when prompted: - - ```bash - psql -h 127.0.0.1 -p 5432 -U $DB_USER - ``` - -## Update config - -1. Change into the retrieval service directory: - - ```bash - cd ./retrieval_service - ``` - -1. Install requirements: - - ```bash - pip install -r requirements.txt - ``` - -1. Make a copy of `example-config.yml` and name it `config.yml`. - - ```bash - cp example-config-alloydb.yml config.yml - ``` - -1. Update `config.yml` with your database information. - -```bash -host: 0.0.0.0 -datastore: - # Example for alloydb.py provider - kind: "alloydb-postgres" - # Update this with your project ID - project: - region: us-central1 - cluster: my-alloydb-cluster - instance: my-alloydb-instance - # Update this with the database name - database: "assistantdemo" - # Update with database user, the default is `postgres` - user: "postgres" - # Update with database user password - password: "my-alloydb-pass" -``` - -## Initialize data - -1. While connected using `psql`, create a database and switch to it: - - ```bash - CREATE DATABASE assistantdemo; - \c assistantdemo - ``` - -1. Install [`pgvector`][pgvector] extension in the database: - - ```bash - CREATE EXTENSION vector; - ``` - -1. Populate data into database: - - ```bash - python run_database_init.py - ``` - -[pgvector]: https://github.com/pgvector/pgvector - -## Clean up resources - -Clean up after completing the demo. - -1. Set environment variables: - - ```bash - export CLUSTER=my-alloydb-cluster - export REGION=us-central1 - ``` - -1. Delete AlloyDB cluster that contains instances: - - ```bash - gcloud alloydb clusters delete $CLUSTER \ - --force \ - --region=$REGION \ - --project=$PROJECT_ID - ``` - -## Developer information - -This section is for developers that want to develop and run the app locally. - -### Test Environment Variables - -#### 1. Create Secrets -Follow the steps [here](https://cloud.google.com/secret-manager/docs/creating-and-accessing-secrets) to create two secrets with the following Secret names: -1. `alloy_db_user` -1. `alloy_db_pass` - -Set the Secret values as your database username and password respectively. - -#### 2. Set environment variables: - -```bash -export DB_NAME="" -export DB_USER="" -export DB_PASS="" -export DB_PROJECT="" -export DB_REGION="" -export DB_CLUSTER="" -export DB_INSTANCE="" -``` - -#### 3. Run tests - -Run retrieval service unit tests: - -```bash -gcloud builds submit --config retrieval_service/alloydb.tests.cloudbuild.yaml \ - --substitutions _DATABASE_NAME=$DB_NAME,_DATABASE_USER=$DB_USER,_ALLOYDB_REGION=$DB_REGION,_ALLOYDB_CLUSTER=$DB_CLUSTER,_ALLOYDB_INSTANCE=$DB_INSTANCE -``` - -Where `$DB_NAME`,`$DB_USER`,`$DB_REGION`,`$DB_CLUSTER`,`$DB_INSTANCE` are environment variables with your database values. - -### Troubleshooting -If you get the following error: -``` -failed to access secret version for secret projects//secrets/alloy_db_user/versions/1: rpc error: code = PermissionDenied desc = Permission 'secretmanager.versions.access' denied for resource 'projects//secrets/alloy_db_user/versions/1' (or it may not exist). -``` -Go to `Cloud Build > Settings`, and make sure that the GCP Service `Secret Manager` is enabled for your Service Account. - -You can find the Service Account under `History > > Execution Details > Service Account`. - -Eg. `-compute@developer.gserviceaccount.com` \ No newline at end of file diff --git a/docs/datastore/cloudsql_mysql.md b/docs/datastore/cloudsql_mysql.md deleted file mode 100644 index 03be2fdfa..000000000 --- a/docs/datastore/cloudsql_mysql.md +++ /dev/null @@ -1,182 +0,0 @@ -# Setup and configure Cloud SQL for MySQL - -## Before you begin - -1. Make sure you have a Google Cloud project and billing is enabled. - -1. Set your `PROJECT_ID` environment variable: - - ```bash - export PROJECT_ID= - ``` - -1. [Install](https://cloud.google.com/sdk/docs/install) the gcloud CLI. - -1. Set gcloud project: - - ```bash - gcloud config set project $PROJECT_ID - ``` - -1. Enable APIs: - - ```bash - gcloud services enable sqladmin.googleapis.com \ - aiplatform.googleapis.com - ``` - -1. [Install python][install-python] and set up a python [virtual environment][venv]. - -1. Make sure you have python version 3.11+ installed. - - ```bash - python -V - ``` - -1. Download and install [mysql-client cli (`mysql`)][install-mysql]. - -1. Install the [Cloud SQL Auth Proxy client][install-cloudsql-proxy]. - -[install-python]: https://cloud.google.com/python/docs/setup#installing_python -[venv]: https://cloud.google.com/python/docs/setup#installing_and_using_virtualenv -[install-mysql]: https://dev.mysql.com/doc/mysql-installation-excerpt/8.0/en/ -[install-cloudsql-proxy]: https://cloud.google.com/sql/docs/mysql/connect-auth-proxy - - -## Create a Cloud SQL for MySQL instance - -1. Set environment variables. For security reasons, use a different password for - `$DB_PASS` and note it for future use: - - ```bash - export DB_PASS=my-cloudsql-pass - export DB_USER=root - export INSTANCE=my-cloudsql-instance - export REGION=us-central1 - ``` - -1. Create a MySQL instance with vector enabled: - - ```bash - gcloud sql instances create $INSTANCE \ - --database-version=MYSQL_8_0_36 \ - --cpu=4 \ - --memory=16GB \ - --region=$REGION \ - --database-flags=cloudsql_vector=ON - ``` - -1. Set password for mysql user: - - ```bash - gcloud sql users set-password $DB_USER \ - --instance=$INSTANCE \ - --password=$DB_PASS - ``` - - -## Connect to the Cloud SQL instance - -1. Connect to instance using cloud sql proxy: - - ```bash - ./cloud-sql-proxy $PROJECT_ID:$REGION:$INSTANCE - ``` - -1. Verify you can connect to your instance with the `mysql` tool. Enter - password for Cloud SQL (`$DB_PASS` environment variable set above) when prompted: - - ```bash - mysql "host=127.0.0.1 port=3306 sslmode=disable user=$DB_USER" - ``` - -## Update config - -Update `config.yml` with your database information. - -```bash -host: 0.0.0.0 -datastore: - # Example for cloudsql_mysql.py provider - kind: "cloudsql-mysql" - # Update this with your project ID - project: - region: us-central1 - instance: my-cloudsql-instance - # Update this with the database name - database: "assistantdemo" - # Update with database user, the default is `root` - user: "root" - # Update with database user password - password: "my-cloudsql-pass" -``` - -## Initialize data - -1. While connected using `mysql`, create a database and switch to it: - - ```bash - CREATE DATABASE assistantdemo; - \c assistantdemo - ``` - -1. Change into the retrieval service directory: - - ```bash - cd genai-databases-retrieval-app/retrieval_service - ``` - -1. Install requirements: - - ```bash - pip install -r requirements.txt - ``` - -1. Make a copy of `example-config.yml` and name it `config.yml`. - - ```bash - cp example-config.yml config.yml - ``` - -1. Populate data into database: - - ```bash - python run_database_init.py - ``` - -## Clean up resources - -Clean up after completing the demo. - -1. Delete the Cloud SQL instance: - - ```bash - gcloud sql instances delete my-cloudsql-instance - ``` - -## Developer information - -This section is for developers that want to develop and run the app locally. - -### Test Environment Variables - -Set environment variables: - -```bash -export DB_USER="" -export DB_PASS="" -export DB_PROJECT="" -export DB_REGION="" -export DB_INSTANCE="" -``` - -### Run tests - -Run retrieval service unit tests: - -```bash -gcloud builds submit --config retrieval_service/cloudsql-mysql.tests.cloudbuild.yaml \ - --substitutions _DATABASE_NAME=$DB_NAME,_DATABASE_USER=$DB_USER,_CLOUDSQL_REGION=$DB_REGION,_CLOUDSQL_INSTANCE=$DB_INSTANCE -``` - -Where `$DB_NAME`,`$DB_USER`,`$DB_REGION`,`$DB_CLUSTER`,`$DB_INSTANCE` are environment variables with your database values. diff --git a/docs/datastore/cloudsql_postgres.md b/docs/datastore/cloudsql_postgres.md deleted file mode 100644 index 9babdf0df..000000000 --- a/docs/datastore/cloudsql_postgres.md +++ /dev/null @@ -1,189 +0,0 @@ -# Setup and configure Cloud SQL for Postgres - -## Before you begin - -1. Make sure you have a Google Cloud project and billing is enabled. - -1. Set your `PROJECT_ID` environment variable: - - ```bash - export PROJECT_ID= - ``` - -1. [Install](https://cloud.google.com/sdk/docs/install) the gcloud CLI. - -1. Set gcloud project: - - ```bash - gcloud config set project $PROJECT_ID - ``` - -1. Enable APIs: - - ```bash - gcloud services enable sqladmin.googleapis.com \ - aiplatform.googleapis.com - ``` - -1. [Install python][install-python] and set up a python [virtual environment][venv]. - -1. Make sure you have python version 3.11+ installed. - - ```bash - python -V - ``` - -1. Download and install [postgres-client cli (`psql`)][install-psql]. - -1. Install the [Cloud SQL Auth Proxy client][install-cloudsql-proxy]. - -[install-python]: https://cloud.google.com/python/docs/setup#installing_python -[venv]: https://cloud.google.com/python/docs/setup#installing_and_using_virtualenv -[install-psql]: https://www.timescale.com/blog/how-to-install-psql-on-mac-ubuntu-debian-windows/ -[install-cloudsql-proxy]: https://cloud.google.com/sql/docs/postgres/connect-instance-auth-proxy#install-proxy - - -## Create a Cloud SQL for PostgreSQL instance - -1. Set environment variables. For security reasons, use a different password for - `$DB_PASS` and note it for future use: - - ```bash - export DB_PASS=my-cloudsql-pass - export DB_USER=postgres - export INSTANCE=my-cloudsql-pg-instance - export REGION=us-central1 - ``` - -1. Create a PostgreSQL instance: - - ```bash - gcloud sql instances create $INSTANCE \ - --database-version=POSTGRES_14 \ - --cpu=4 \ - --memory=16GB \ - --region=$REGION - ``` - -1. Set password for postgres user: - - ```bash - gcloud sql users set-password $DB_USER \ - --instance=$INSTANCE \ - --password=$DB_PASS - ``` - - -## Connect to the Cloud SQL instance - -1. Connect to instance using cloud sql proxy: - - ```bash - ./cloud-sql-proxy $PROJECT_ID:$REGION:$INSTANCE - ``` - -1. Verify you can connect to your instance with the `psql` tool. Enter - password for Cloud SQL (`$DB_PASS` environment variable set above) when prompted: - - ```bash - psql "host=127.0.0.1 port=5432 sslmode=disable user=$DB_USER" - ``` - -## Update config - -Update `config.yml` with your database information. - -```bash -host: 0.0.0.0 -datastore: - # Example for cloudsql_postgres.py provider - kind: "cloudsql-postgres" - # Update this with your project ID - project: - region: us-central1 - instance: my-cloudsql-pg-instance - # Update this with the database name - database: "assistantdemo" - # Update with database user, the default is `postgres` - user: "postgres" - # Update with database user password - password: "my-cloudsql-pass" -``` - -## Initialize data - -1. While connected using `psql`, create a database and switch to it: - - ```bash - CREATE DATABASE assistantdemo; - \c assistantdemo - ``` - -1. Install [`pgvector`][pgvector] extension in the database: - - ```bash - CREATE EXTENSION vector; - ``` - -1. Change into the retrieval service directory: - - ```bash - cd genai-databases-retrieval-app/retrieval_service - ``` - -1. Install requirements: - - ```bash - pip install -r requirements.txt - ``` - -1. Make a copy of `example-config.yml` and name it `config.yml`. - - ```bash - cp example-config.yml config.yml - ``` - -1. Populate data into database: - - ```bash - python run_database_init.py - ``` - -[pgvector]: https://github.com/pgvector/pgvector - -## Clean up resources - -Clean up after completing the demo. - -1. Delete the Cloud SQL instance: - - ```bash - gcloud sql instances delete my-cloudsql-pg-instance - ``` - -## Developer information - -This section is for developers that want to develop and run the app locally. - -### Test Environment Variables - -Set environment variables: - -```bash -export DB_USER="" -export DB_PASS="" -export DB_PROJECT="" -export DB_REGION="" -export DB_INSTANCE="" -``` - -### Run tests - -Run retrieval service unit tests: - -```bash -gcloud builds submit --config retrieval_service/cloudsql.tests.cloudbuild.yaml \ - --substitutions _DATABASE_NAME=$DB_NAME,_DATABASE_USER=$DB_USER,_CLOUDSQL_REGION=$DB_REGION,_CLOUDSQL_INSTANCE=$DB_INSTANCE -``` - -Where `$DB_NAME`,`$DB_USER`,`$DB_REGION`,`$DB_CLUSTER`,`$DB_INSTANCE` are environment variables with your database values. diff --git a/docs/datastore/firestore.md b/docs/datastore/firestore.md deleted file mode 100644 index 0648a5bca..000000000 --- a/docs/datastore/firestore.md +++ /dev/null @@ -1,53 +0,0 @@ -# Setup and configure Firestore - -## Before you begin - -1. Make sure you have a GoogleCloud project and billing is enabled. - -1. Install required dependencies: - ```bash - cd retrieval_service - pip install -r requirements.txt - ``` - -## Create a Cloud Firestore database - -1. In the [Firebase console](https://console.firebase.google.com), click `Add project`, then follow the on-screen instructions to create a Firebase project or to add Firebase services to an existing GCP project. - -1. Navigate to the Cloud Firestore section of the Firebase console. You'll be prompted to select an existing Firebase project. Follow the database creation workflow. - -## Update config - -Update `config.yml` with your database information. - -```bash -host: 0.0.0.0 -datastore: - kind: "firestore" - projectId: # (Optional) default to env variable `GCLOUD_PROJECT` -``` - - -## Initialize data in Firestore - -1. Change to the `retrieval_service` directory: - - ```bash - cd retrieval_service - ``` - -1. Populate your Firestore database with the command below. It will take several minutes to run: - - ```bash - python run_database_init.py - ``` - -## Clean up resources - -Clean up after completing the demo. - -1. Delete the default firestore database: - - ```bash - gcloud alpha firestore databases delete --database='(default)' - ``` diff --git a/docs/datastore/postgres.md b/docs/datastore/postgres.md deleted file mode 100644 index a134b0b53..000000000 --- a/docs/datastore/postgres.md +++ /dev/null @@ -1,246 +0,0 @@ -# Setup and configure non-cloud postgres (such as AlloyDB Omni) - -## Before you begin - -1. Make sure you have a Google Cloud project and billing is enabled. - -1. Set your `PROJECT_ID` environment variable: - - ```bash - export PROJECT_ID= - ``` - -1. [Install](https://cloud.google.com/sdk/docs/install) the gcloud CLI. - -1. Set gcloud project: - - ```bash - gcloud config set project $PROJECT_ID - ``` - -1. Enable APIs: - - ```bash - gcloud services enable alloydb.googleapis.com \ - compute.googleapis.com \ - cloudresourcemanager.googleapis.com \ - servicenetworking.googleapis.com \ - vpcaccess.googleapis.com \ - aiplatform.googleapis.com - ``` - -1. [Install python][install-python] and set up a python [virtual environment][venv]. - -1. Make sure you have python version 3.11+ installed. - - ```bash - python -V - ``` - -1. Download and install [postgres-client cli (`psql`)][install-psql]. - -[install-python]: https://cloud.google.com/python/docs/setup#installing_python -[venv]: https://cloud.google.com/python/docs/setup#installing_and_using_virtualenv -[install-psql]: https://www.timescale.com/blog/how-to-install-psql-on-mac-ubuntu-debian-windows/ - -## Setup Postgres database - -This section assumes you've already set up a non-cloud database like [AlloyDB Omni](https://cloud.google.com/alloydb/docs/omni/quickstart). - -New to non-cloud Postgres? We recommend using AlloyDB for a fully managed and scalable experience on Google Cloud. Follow our guide on [setting up AlloyDB Cluster on GCP](./alloydb.md) to get started. - -1. Get AlloyDB IP address: - - ```bash - export ALLOYDB_IP=$(gcloud alloydb instances describe $INSTANCE \ - --cluster=$CLUSTER \ - --region=$REGION \ - --format 'value(ipAddress)') - ``` - -1. Note the AlloyDB IP address for later use: - - ```bash - echo $ALLOYDB_IP - ``` - -## Set up connection to AlloyDB - -AlloyDB supports network connectivity through private, internal IP addresses -only. For this section, we will create a Google Cloud Engine VM in the same VPC as the -AlloyDB cluster. We can use this VM to connect to our AlloyDB cluster using -Private IP. - -1. Set environment variables: - - ```bash - export ZONE=us-central1-a - export PROJECT_NUM=$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)") - export VM_INSTANCE=postgres-proxy-vm - ``` - -1. Create a Compute Engine VM: - - ```bash - gcloud compute instances create $VM_INSTANCE \ - --project=$PROJECT_ID \ - --zone=$ZONE \ - --machine-type=e2-medium \ - --network-interface=network-tier=PREMIUM,stack-type=IPV4_ONLY,subnet=default \ - --maintenance-policy=MIGRATE \ - --provisioning-model=STANDARD \ - --service-account=$PROJECT_NUM-compute@developer.gserviceaccount.com \ - --scopes=https://www.googleapis.com/auth/cloud-platform \ - --create-disk=auto-delete=yes,boot=yes,device-name=$VM_INSTANCE,image-family=ubuntu-2004-lts,image-project=ubuntu-os-cloud,mode=rw,size=10,type=projects/$PROJECT_ID/zones/$ZONE/diskTypes/pd-balanced \ - --no-shielded-secure-boot \ - --shielded-vtpm \ - --shielded-integrity-monitoring \ - --labels=goog-ec-src=vm_add-gcloud \ - --reservation-affinity=any - ``` - -1. Create an SSH tunnel through your GCE VM using port forwarding. This will - listen to `127.0.0.1:5432` and forward through the GCE VM to your AlloyDB - instance: - - ```bash - gcloud compute ssh --project=$PROJECT_ID --zone=$ZONE $VM_INSTANCE \ - -- -NL 5432:$ALLOYDB_IP:5432 - ``` - - You will need to allow this command to run while you are connecting to - AlloyDB. You may wish to open a new terminal to connect with. - -1. Verify you can connect to your instance with the `psql` tool. Enter - password for AlloyDB (`$DB_PASS` environment variable set above) when prompted: - - ```bash - psql -h 127.0.0.1 -U postgres - ``` - -## Update config - -Update `config.yml` with your database information. Keep using `127.0.0.1` as the datastore host IP address for port forwarding. - -```bash -host: 0.0.0.0 -datastore: - # Example for postgres.py provider - kind: "postgres" - host: 127.0.0.1 - port: 5432 - # Update this with the database name - database: "assistantdemo" - # Update with database user, the default is `postgres` - user: "postgres" - # Update with database user password - password: "my-postgres-pass" -``` - -## Initialize data in AlloyDB - -1. While connected using `psql`, create a database and switch to it: - - ```bash - CREATE DATABASE assistantdemo; - \c assistantdemo - ``` - -1. Install [`pgvector`][pgvector] extension in the database: - - ```bash - CREATE EXTENSION vector; - ``` - -1. Exit from `psql`: - - ```bash - exit - ``` - -1. Change into the retrieval service directory: - - ```bash - cd genai-databases-retrieval-app/retrieval_service - ``` - -1. Install requirements: - - ```bash - pip install -r requirements.txt - ``` - -1. Make a copy of `example-config.yml` and name it `config.yml`. - - ```bash - cp example-config.yml config.yml - ``` - -1. Populate data into database: - - ```bash - python run_database_init.py - ``` - -[pgvector]: https://github.com/pgvector/pgvector - -## Clean up resources - -Clean up after completing the demo. - -1. Set environment variables: - - ```bash - export VM_INSTANCE=postgres-proxy-vm - export CLUSTER=my-postgres-cluster - export REGION=us-central1 - export RANGE_NAME=my-allocated-range-default - ``` - -1. Delete Compute Engine VM: - - ```bash - gcloud compute instances delete $VM_INSTANCE - ``` - -1. Delete AlloyDB cluster that contains instances: - - ```bash - gcloud alloydb clusters delete $CLUSTER \ - --force \ - --region=$REGION \ - --project=$PROJECT_ID - ``` - -1. Delete an allocated IP address range: - - ```bash - gcloud compute addresses delete $RANGE_NAME \ - --global - ``` - -## Developer information - -This section is for developers that want to develop and run the app locally. - -### Test Environment Variables - -Set environment variables: - -```bash -export DB_USER="" -export DB_PASS="" -export DB_NAME="" -export DB_HOST="" -``` - -### Run tests - -Run retrieval service unit tests: - -```bash -gcloud builds submit --config retrieval_service/postgres.tests.cloudbuild.yaml \ - --substitutions _DATABASE_HOST=$DB_HOST,_DATABASE_NAME=$DB_NAME,_DATABASE_USER=$DB_USER -``` - -Where `$DB_HOST`,`$DB_NAME`,`$DB_USER` are environment variables with your database values. diff --git a/docs/datastore/spanner_gsql.md b/docs/datastore/spanner_gsql.md deleted file mode 100644 index 262409fa7..000000000 --- a/docs/datastore/spanner_gsql.md +++ /dev/null @@ -1,143 +0,0 @@ -# Setup and configure Spanner - -## Before you begin - -1. Make sure you have a Google Cloud project and billing is enabled. - -1. Set your `PROJECT_ID` environment variable: - - ```bash - export PROJECT_ID= - ``` - -1. [Install](https://cloud.google.com/sdk/docs/install) the gcloud CLI. - -1. Set gcloud project: - - ```bash - gcloud config set project $PROJECT_ID - ``` - -1. Enable APIs: - - ```bash - gcloud services enable spanner.googleapis.com - ``` - -1. [Install python][install-python] and set up a python [virtual environment][venv]. - -1. Make sure you have python version 3.11+ installed. - - ```bash - python -V - ``` -[install-python]: https://cloud.google.com/python/docs/setup#installing_python -[venv]: https://cloud.google.com/python/docs/setup#installing_and_using_virtualenv - -## Create a Cloud Spanner instance - -1. Set environment variables. - - ```bash - export INSTANCE=my-spanner-gsql-instance - export DATABASE=assistantdemo - export REGION=regional-us-central1 - export INSTANCE_DESCRIPTION="My Spanner GSQL Instance" - ``` - -1. Create a Cloud Spanner instance: - - ```bash - gcloud spanner instances create $INSTANCE \ - --config=$REGION \ - --nodes=1 \ - --description=$INSTANCE_DESCRIPTION - ``` -1. Create a database within the Cloud Spanner instance: - - ```bash - gcloud spanner databases create $DATABASE --instance=$INSTANCE - ``` -1. Verify the database created with the `gcloud` tool: - - ```bash - gcloud spanner databases execute-sql $DATABASE \ - --instance=$INSTANCE \ - --sql="SELECT 1" - ``` - -## Create a Service Account - -1. Set environment variables. - - ```bash - export SA_NAME=spanner-service - export SA_EMAIL=$SA_NAME@$PROJECT_ID.iam.gserviceaccount.com - ``` - -1. Create a Service Account: Use the gcloud iam service-accounts create command to create a new service account. - ```bash - gcloud iam service-accounts create $SA_NAME --description="Service account for Cloud Spanner" --display-name="Cloud Spanner Service Account" - ``` - -1. Grant Required Permissions: Assign the necessary roles to the service account. For Cloud Spanner read and write access, you can grant the roles/spanner.databaseUser and roles/spanner.databaseAdmin roles. Use the gcloud projects add-iam-policy-binding command to grant these roles. - - ```bash - gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:$SA_EMAIL" --role="roles/spanner.databaseUser" --condition=None - gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:$SA_EMAIL" --role="roles/spanner.databaseAdmin" --condition=None - ``` - -1. Generate a key file for the service account. This key file will be used for authentication when accessing GCP resources programmatically. - ```bash - gcloud iam service-accounts keys create key.json --iam-account $SA_EMAIL - ``` -1. Use the generated key file (key.json) to authenticate your application when accessing Cloud Spanner. - -## Initialize data - -1. Change into the retrieval service directory: - - ```bash - cd genai-databases-retrieval-app/retrieval_service - ``` - -1. Install requirements: - - ```bash - pip install -r requirements.txt - ``` - -1. Make a copy of `example-config.yml` and name it `config.yml`. - - ```bash - cp example-config.yml config.yml - ``` - -1. Update `config.yml` with your database information. - - ```bash - host: 0.0.0.0 - datastore: - # Example for Spanner - kind: "spanner-gsql" - project: - instance: my-spanner-gsql-instance - database: assistantdemo - service_account_key_file: - ``` - -1. Populate data into database: - - ```bash - python run_database_init.py - ``` - -## Clean up resources - -Clean up after completing the demo. - -1. Delete the Cloud Spanner instance: - - ```bash - gcloud spanner instances delete $INSTANCE - ``` diff --git a/docs/datastore/spanner_pg.md b/docs/datastore/spanner_pg.md deleted file mode 100644 index df7d2678b..000000000 --- a/docs/datastore/spanner_pg.md +++ /dev/null @@ -1,144 +0,0 @@ -# Setup and configure Spanner - -## Before you begin - -1. Make sure you have a Google Cloud project and billing is enabled. - -1. Set your `PROJECT_ID` environment variable: - - ```bash - export PROJECT_ID= - ``` - -1. [Install](https://cloud.google.com/sdk/docs/install) the gcloud CLI. - -1. Set gcloud project: - - ```bash - gcloud config set project $PROJECT_ID - ``` - -1. Enable APIs: - - ```bash - gcloud services enable spanner.googleapis.com - ``` - -1. [Install python][install-python] and set up a python [virtual environment][venv]. - -1. Make sure you have python version 3.11+ installed. - - ```bash - python -V - ``` -[install-python]: https://cloud.google.com/python/docs/setup#installing_python -[venv]: https://cloud.google.com/python/docs/setup#installing_and_using_virtualenv - -## Create a Cloud Spanner instance - -1. Set environment variables. - - ```bash - export INSTANCE=my-spanner-pg-instance - export DATABASE=assistantdemo - export REGION=regional-us-central1 - export DATABASE_DIALECT=POSTGRESQL - export INSTANCE_DESCRIPTION="My Spanner PG Instance" - ``` - -1. Create a Cloud Spanner instance: - - ```bash - gcloud spanner instances create $INSTANCE \ - --config=$REGION \ - --nodes=1 \ - --description=$INSTANCE_DESCRIPTION - ``` -1. Create a database within the Cloud Spanner instance: - - ```bash - gcloud spanner databases create $DATABASE --instance=$INSTANCE --database-dialect=$DATABASE_DIALECT - ``` -1. Verify the database created with the `gcloud` tool: - - ```bash - gcloud spanner databases execute-sql $DATABASE \ - --instance=$INSTANCE \ - --sql="SELECT 1" - ``` - -## Create a Service Account - -1. Set environment variables. - - ```bash - export SA_NAME=spanner-service - export SA_EMAIL=$SA_NAME@$PROJECT_ID.iam.gserviceaccount.com - ``` - -1. Create a Service Account: Use the gcloud iam service-accounts create command to create a new service account. - ```bash - gcloud iam service-accounts create $SA_NAME --description="Service account for Cloud Spanner" --display-name="Cloud Spanner Service Account" - ``` - -1. Grant Required Permissions: Assign the necessary roles to the service account. For Cloud Spanner read and write access, you can grant the roles/spanner.databaseUser and roles/spanner.databaseAdmin roles. Use the gcloud projects add-iam-policy-binding command to grant these roles. - - ```bash - gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:$SA_EMAIL" --role="roles/spanner.databaseUser" --condition=None - gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:$SA_EMAIL" --role="roles/spanner.databaseAdmin" --condition=None - ``` - -1. Generate a key file for the service account. This key file will be used for authentication when accessing GCP resources programmatically. - ```bash - gcloud iam service-accounts keys create key.json --iam-account $SA_EMAIL - ``` -1. Use the generated key file (key.json) to authenticate your application when accessing Cloud Spanner. - -## Initialize data - -1. Change into the retrieval service directory: - - ```bash - cd genai-databases-retrieval-app/retrieval_service - ``` - -1. Install requirements: - - ```bash - pip install -r requirements.txt - ``` - -1. Make a copy of `example-config.yml` and name it `config.yml`. - - ```bash - cp example-config.yml config.yml - ``` - -1. Update `config.yml` with your database information. - - ```bash - host: 0.0.0.0 - datastore: - # Example for Spanner - kind: "spanner-postgres" - project: - instance: my-spanner-pg-instance - database: assistantdemo - service_account_key_file: - ``` - -1. Populate data into database: - - ```bash - python run_database_init.py - ``` - -## Clean up resources - -Clean up after completing the demo. - -1. Delete the Cloud Spanner instance: - - ```bash - gcloud spanner instances delete $INSTANCE - ``` diff --git a/docs/deploy_retrieval_service.md b/docs/deploy_retrieval_service.md deleted file mode 100644 index 32d2d8744..000000000 --- a/docs/deploy_retrieval_service.md +++ /dev/null @@ -1,120 +0,0 @@ -# Deploy the Retrieval Service to Cloud Run - -## Before you begin - -1. Make sure you've [setup and initialized your - Database](../README.md#setting-up-your-database). - -1. You must have the following APIs Enabled: - - ```bash - gcloud services enable run.googleapis.com \ - cloudbuild.googleapis.com \ - artifactregistry.googleapis.com \ - iam.googleapis.com - ``` - -1. To create an IAM account, you must have the following IAM permissions (or - roles): - - Create Service Account role (roles/iam.serviceAccountCreator) - -1. To deploy from source, you must have ONE of the following IAM permission: - - Owner role - - Editor role - - The following set of roles: - - Cloud Build Editor role (roles/cloudbuild.builds.editor) - - Artifact Registry Admin role (roles/artifactregistry.admin) - - Storage Admin role (roles/storage.admin) - - Cloud Run Admin role (roles/run.admin) - - Service Account User role (roles/iam.serviceAccountUser) - -Notes: -* If you are under a domain restriction organization policy - [restricting](https://cloud.google.com/run/docs/authenticating/public#domain-restricted-sharing) - unauthenticated invocations for your project, you will need to access your - deployed service as described under [Testing private - services](https://cloud.google.com/run/docs/triggering/https-request#testing-private). -* If you are using VPC based datastore, make sure your Cloud Run service and datastore are in the same VPC network. - -## Create a service account - -1. Create a backend service account if you don't already have one: - - ```bash - gcloud iam service-accounts create retrieval-identity - ``` - -1. Grant permissions to access your database: - - * For AlloyDB Omni: - - ```bash - gcloud projects add-iam-policy-binding $PROJECT_ID \ - --member serviceAccount:retrieval-identity@$PROJECT_ID.iam.gserviceaccount.com \ - --role roles/alloydb.client - ``` - -1. Grant permissions to use VertexAI to generate embeddings for similarity searches: - - ```bash - gcloud projects add-iam-policy-binding $PROJECT_ID \ - --member serviceAccount:retrieval-identity@$PROJECT_ID.iam.gserviceaccount.com \ - --role roles/aiplatform.user - ``` - -## Configuration - -Set up configuration for `retrieval_service/config.yml`: - -| provider | -|----------------------------------------| -| [AlloyDB](./datastore/alloydb.md#update-config) | -| [Cloud SQL for Postgres](./datastore/cloudsql_postgres.md#update-config) | -| [Cloud SQL for MySQL](./datastore/cloudsql_mysql.md#update-config) | -| [Non-cloud Postgres (e.g. AlloyDB Omni)](./datastore/postgres.md#update-config) | - -* For AlloyDB Omni, replace host with `host: `. - - -## Deploy to Cloud Run - -1. From the root `genai-databases-retrieval-app` directory, deploy the retrieval - service to Cloud Run using the following command: - - ```bash - gcloud run deploy retrieval-service \ - --source=./retrieval_service/\ - --no-allow-unauthenticated \ - --service-account retrieval-identity \ - --region us-central1 - ``` - - If you are using a VPC network, use the command below: - - ```bash - gcloud alpha run deploy retrieval-service \ - --source=./retrieval_service/\ - --no-allow-unauthenticated \ - --service-account retrieval-identity \ - --region us-central1 \ - --network=default \ - --subnet=default - ``` - -## Connecting to Cloud Run - -Next, we will use gcloud to authenticate requests to our Cloud Run instance: - -1. Run the `run services proxy` to proxy connections to Cloud Run: - - ```bash - gcloud run services proxy retrieval-service --port=8080 --region=us-central1 - ``` - - If you are prompted to install the proxy, reply *Y* to install. - -1. Finally, use `curl` to verify the endpoint works: - - ```bash - curl http://127.0.0.1:8080 - ``` diff --git a/docs/run_app.md b/docs/run_app.md new file mode 100644 index 000000000..e806761cb --- /dev/null +++ b/docs/run_app.md @@ -0,0 +1,46 @@ +# Running the Agentic App Demo + +## Before you begin + +1. Make sure you have [setup and initialized your + Database](../README.md#one-time-database--tool-configuration). + +1. Make sure you are able to [launch Toolbox server](../README.md#launch-the-toolbox-server-choose-one). + +1. Make sure you have Python 3.11+ installed + +## Setting up your Environment + +1. Set up [Application Default Credentials](https://cloud.google.com/docs/authentication/application-default-credentials#GAC): + + ```bash + gcloud auth application-default login + ``` + +1. Install the dependencies using `pip`. You may wish to do this in a virtual + environment, e.g. [venv](https://docs.python.org/3/library/venv.html): + + ```bash + pip install -r requirements.txt + ``` + +> [!TIP] +> If you are running into `403` error, check to make sure the service account +> you are using has the `Cloud Run Invoker` IAM in the retrieval service +> project. + +## Running the Demo + +1. Start the app with: + + ```bash + python run_app.py + ``` + +1. View app in your browser at http://localhost:8081 + +> [!TIP] +> For hot reloading, use the `--reload` flag +> ```bash +> python run_app.py --reload` +> ``` diff --git a/docs/run_llm_demo.md b/docs/run_llm_demo.md deleted file mode 100644 index c2cd44ee6..000000000 --- a/docs/run_llm_demo.md +++ /dev/null @@ -1,69 +0,0 @@ -# Running the LLM App Demo - -## Before you begin - -1. Make sure you've [setup and initialized your - Database](../README.md#setting-up-your-database). - -1. Make sure you've [deployed your retrieval service, and are running a - connection to it locally on - 127.0.0.1:8080](../README.md#deploying-the-retrieval-service). - -1. Make sure you have Python 3.11+ installed - -## Setting up your Environment - -1. Set up [Application Default Credentials](https://cloud.google.com/docs/authentication/application-default-credentials#GAC): - - ```bash - gcloud auth application-default login - ``` - * Tip: if you are running into `403` error, check to make sure the service account you are using has the `Cloud Run Invoker` IAM in the retrieval service project. - -1. Change into the `llm_demo` directory: - - ```bash - cd llm_demo - ``` - -1. Set orchestrator environment variable: - - | orchestration-type | Description | - |-------------------------------|---------------------------------------------| - | langchain-tools | LangChain tools orchestrator. | - | vertexai-function-calling | VertexAI Function Calling orchestrator. | - - ```bash - export ORCHESTRATION_TYPE= - ``` - -1. Install the dependencies using `pip`. You may wish to do this in a - [venv](https://docs.python.org/3/library/venv.html): - - ```bash - pip install -r requirements.txt - ``` - -1. [Optional] If you want to take advantage of the user authentication features, [create a Client ID](https://support.google.com/cloud/answer/6158849) for your app and save it as an environment variable: - - ```bash - export CLIENT_ID= - ``` - -1. [Optional] To make session information readable but not modifiable, you can customized the signed cookie-based HTTP sessions. Defaulted to "this is a secret". More information available [here](https://www.starlette.io/middleware/#sessionmiddleware). - - ```bash - export MIDDLEWARE_SECRET= - ``` - -## Running the Demo - -1. Start the application with: - - ```bash - python run_app.py - ``` - - Note: for hot reloading of the app use: `python run_app.py --reload` - -1. View app at `http://localhost:8081/` diff --git a/llm_demo/langgraph.int.tests.cloudbuild.yaml b/integration.cloudbuild.yaml similarity index 83% rename from llm_demo/langgraph.int.tests.cloudbuild.yaml rename to integration.cloudbuild.yaml index 65c817620..d07488b04 100644 --- a/llm_demo/langgraph.int.tests.cloudbuild.yaml +++ b/integration.cloudbuild.yaml @@ -12,27 +12,28 @@ # limitations under the License. steps: - - id: "Deploy to Cloud Run" + # Step 1: Deploy the Cymbal Air service with the Toolbox URL + - id: "Deploy Cymbal Air Service" name: "gcr.io/cloud-builders/gcloud:latest" - dir: llm_demo - script: | - #!/usr/bin/env bash + entrypoint: bash + args: + - -c + - | gcloud run deploy ${_SERVICE} \ --source . \ --region ${_REGION} \ --no-allow-unauthenticated \ - --update-env-vars ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE} + --update-env-vars "TOOLBOX_URL=${_TOOLBOX_URL}" - - id: "Test Frontend" + # Step 2: Test the running Cymbal Air + - id: "Test Cymbal Air" name: "gcr.io/cloud-builders/gcloud:latest" entrypoint: /bin/bash - env: # Set env var expected by app args: - - "-c" + - -c - | export URL=$(gcloud run services describe ${_SERVICE} --region ${_REGION} --format 'value(status.url)') export ID_TOKEN=$(gcloud auth print-identity-token --audiences $$URL) - export ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE} # Test `/` route curl -c cookies.txt -si --fail --show-error -H "Authorization: Bearer $$ID_TOKEN" $$URL @@ -60,11 +61,15 @@ steps: -d '{"prompt":"How can you help me?"}' \ $$URL/chat - - id: "Delete image and service" + # Step 3: Cleanup and delete deployed resources + - id: "Delete image and services" name: "gcr.io/cloud-builders/gcloud" script: | #!/usr/bin/env bash + # Delete the main service's source image gcloud artifacts docker images delete $_GCR_HOSTNAME/$PROJECT_ID/cloud-run-source-deploy/$_SERVICE --quiet + + # Delete the Cymbal Air service gcloud run services delete ${_SERVICE} --region ${_REGION} --quiet serviceAccount: "projects/$PROJECT_ID/serviceAccounts/548341735270-compute@developer.gserviceaccount.com" # Necessary for ID token creation @@ -77,4 +82,4 @@ substitutions: _GCR_HOSTNAME: ${_REGION}-docker.pkg.dev _SERVICE: demo-service-${BUILD_ID} _REGION: us-central1 - _ORCHESTRATION_TYPE: langgraph + _TOOLBOX_URL: http://127.0.0.1:5000 diff --git a/llm_demo/evaluation.cloudbuild.yaml b/llm_demo/evaluation.cloudbuild.yaml deleted file mode 100644 index 7a5136a16..000000000 --- a/llm_demo/evaluation.cloudbuild.yaml +++ /dev/null @@ -1,49 +0,0 @@ -# Copyright 2024 Google LLC -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: llm_demo - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: "Run evaluation service" - name: python:3.11 - dir: llm_demo - env: # Set env var expected by tests - - "ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE}" - - "RETRIEVAL_EXPERIMENT_NAME=${_RETRIEVAL_EXPERIMENT_NAME}" - - "RESPONSE_EXPERIMENT_NAME=${_RESPONSE_EXPERIMENT_NAME}" - secretEnv: - - CLIENT_ID - - BASE_URL - script: | - #!/usr/bin/env bash - python run_evaluation.py - -serviceAccount: "projects/$PROJECT_ID/serviceAccounts/evaluation-testing@retrieval-app-testing.iam.gserviceaccount.com" # Necessary for ID token creation -options: - logging: CLOUD_LOGGING_ONLY # Necessary for custom service account - dynamic_substitutions: true - -substitutions: - _ORCHESTRATION_TYPE: "langchain-tools" - _RETRIEVAL_EXPERIMENT_NAME: "retrieval-phase-eval-${_PR_NUMBER}" - _RESPONSE_EXPERIMENT_NAME: "response-phase-eval-${_PR_NUMBER}" - -availableSecrets: - secretManager: - - versionName: projects/$PROJECT_ID/secrets/client_id/versions/latest - env: CLIENT_ID - - versionName: projects/$PROJECT_ID/secrets/retrieval_url/versions/latest - env: BASE_URL diff --git a/llm_demo/evaluation/__init__.py b/llm_demo/evaluation/__init__.py deleted file mode 100644 index cb34a8950..000000000 --- a/llm_demo/evaluation/__init__.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from .eval_golden import goldens -from .evaluation import ( - evaluate_response_phase, - evaluate_retrieval_phase, - run_llm_for_eval, -) - -__ALL__ = [ - "run_llm_for_eval", - "goldens", - "evaluate_retrieval_phase", - "evaluate_response_phase", -] diff --git a/llm_demo/evaluation/eval_golden.py b/llm_demo/evaluation/eval_golden.py deleted file mode 100644 index bdce26ee8..000000000 --- a/llm_demo/evaluation/eval_golden.py +++ /dev/null @@ -1,320 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime, timedelta -from typing import Any, Dict, List, Optional - -from pydantic import BaseModel, Field -from pytz import timezone - - -class ToolCall(BaseModel): - """ - Represents tool call by orchestration. - """ - - name: str - arguments: Dict[str, Any] = Field( - default={}, description="Query arguments for tool call" - ) - - -class EvalData(BaseModel): - """ - Evaluation data model. - This model represents the information needed for running rapid evaluation with Vertex AI. - """ - - category: Optional[str] = Field(default=None, description="Evaluation category") - query: Optional[str] = Field(default=None, description="User query") - instruction: Optional[str] = Field( - default="", - description="Part of the input user prompt. It refers to the inference instruction that is sent to you llm", - ) - content: Optional[str] = Field( - default=None, - description="Used in tool call evaluation. Content value is the text output from the model.", - ) - tool_calls: List[ToolCall] = Field( - default=[], description="Golden tool call for evaluation" - ) - prompt: Optional[str] = Field( - default="", - description="User input for the Gen AI model or application. It's optional in some cases.", - ) - context: Optional[List[Dict[str, Any] | List[Dict[str, Any]]]] = Field( - default=None, description="Context given to llm in order to answer user query" - ) - output: Optional[str] = Field( - default=None, description="Golden output for evaluation" - ) - llm_tool_calls: List[ToolCall] = Field( - default=[], description="Tool call output from LLM" - ) - llm_output: str = Field(default="", description="Final output from LLM") - reset: bool = Field( - default=True, description="Determine to reset the chat after invoke" - ) - - -def get_date(day_delta: int): - DATE_FORMATTER = "%Y-%m-%d" - retrieved_date = datetime.now(timezone("US/Pacific")) + timedelta(days=day_delta) - return retrieved_date.strftime(DATE_FORMATTER) - - -goldens = [ - EvalData( - category="Search Airport Tool", - query="What is the airport located in San Francisco?", - tool_calls=[ - ToolCall( - name="Search Airport", - arguments={"country": "United States", "city": "San Francisco"}, - ), - ], - ), - EvalData( - category="Search Airport Tool", - query="Tell me more about Denver International Airport?", - tool_calls=[ - ToolCall( - name="Search Airport", - arguments={ - "country": "United States", - "city": "Denver", - "name": "Denver International Airport", - }, - ), - ], - ), - EvalData( - category="Search Flights By Flight Number Tool", - query="What is the departure gate for flight CY 922?", - tool_calls=[ - ToolCall( - name="Search Flights By Flight Number", - arguments={ - "airline": "CY", - "flight_number": "922", - }, - ), - ], - ), - EvalData( - category="Search Flights By Flight Number Tool", - query="What is flight CY 888 flying to?", - tool_calls=[ - ToolCall( - name="Search Flights By Flight Number", - arguments={ - "airline": "CY", - "flight_number": "888", - }, - ), - ], - ), - EvalData( - category="List Flights Tool", - query="What flights are headed to JFK tomorrow?", - tool_calls=[ - ToolCall( - name="List Flights", - arguments={ - "arrival_airport": "JFK", - "date": f"{get_date(1)}", - }, - ), - ], - ), - EvalData( - category="List Flights Tool", - query="Is there any flight from SFO to DEN?", - output="I will need the date to retrieve relevant flights.", - ), - EvalData( - category="Search Amenities Tool", - query="Are there any luxury shops?", - tool_calls=[ - ToolCall( - name="Search Amenities", - arguments={ - "query": "luxury shops", - }, - ), - ], - ), - EvalData( - category="Search Amenities Tool", - query="Where can I get coffee near gate A6?", - tool_calls=[ - ToolCall( - name="Search Amenities", - arguments={ - "query": "coffee near gate A6", - }, - ), - ], - ), - EvalData( - category="Search Policies Tool", - query="What is the flight cancellation policy?", - tool_calls=[ - ToolCall( - name="Search Policies", - arguments={ - "query": "flight cancellation policy", - }, - ), - ], - ), - EvalData( - category="Search Policies Tool", - query="How many checked bags can I bring?", - tool_calls=[ - ToolCall( - name="Search Policies", - arguments={ - "query": "checked baggage allowance", - }, - ), - ], - ), - EvalData( - category="Insert Ticket", - query="I would like to book flight CY 922 departing from SFO on 2025-01-01 at 6:38am.", - tool_calls=[ - ToolCall( - name="Insert Ticket", - arguments={ - "airline": "CY", - "flight_number": "922", - "departure_airport": "SFO", - "departure_time": "2025-01-01 06:38:00", - }, - ), - ], - ), - EvalData( - category="Insert Ticket", - query="What flights are headed from SFO to DEN on January 1 2025?", - tool_calls=[ - ToolCall( - name="List Flights", - arguments={ - "departure_airport": "SFO", - "arrival_airport": "DEN", - "date": "2025-01-01", - }, - ), - ], - reset=False, - ), - EvalData( - category="Insert Ticket", - query="I would like to book the first flight.", - tool_calls=[ - ToolCall( - name="Insert Ticket", - arguments={ - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "arrival_airport": "DEN", - "departure_time": "2025-01-01 05:50:00", - "arrival_time": "2025-01-01 09:23:00", - }, - ), - ], - ), - EvalData( - category="List Tickets", - query="Do I have any tickets?", - tool_calls=[ToolCall(name="List Tickets")], - ), - EvalData( - category="List Tickets", - query="When is my next flight?", - tool_calls=[ToolCall(name="List Tickets")], - ), - EvalData( - category="Airline Related Question", - query="What is Cymbal Air?", - output="Cymbal Air is a passenger airline offering convenient flights to many cities around the world from its hub in San Francisco.", - ), - EvalData( - category="Airline Related Question", - query="Where is the hub of cymbal air?", - output="The hub of Cymbal Air is in San Francisco.", - ), - EvalData( - category="Assistant Related Question", - query="What can you help me with?", - output="I can help to book flights and answer a wide range of questions pertaining to travel on Cymbal Air, as well as amenities of San Francisco Airport.", - ), - EvalData( - category="Assistant Related Question", - query="Can you help me book tickets?", - output="Yes, I can help with several tools such as search airports, list tickets, book tickets.", - ), - EvalData( - category="Out-Of-Context Question", - query="Can you help me solve math problems?", - output="Sorry, I am not given the tools for this.", - ), - EvalData( - category="Out-Of-Context Question", - query="Who is the CEO of Google?", - output="Sorry, I am not given the tools for this.", - ), - EvalData( - category="Multitool Selections", - query="Where can I get a snack near the gate for flight CY 352?", - tool_calls=[ - ToolCall( - name="Search Flights By Flight Number", - arguments={ - "airline": "CY", - "flight_number": "352", - }, - ), - ToolCall( - name="Search Amenities", - arguments={ - "query": "snack near gate A2.", - }, - ), - ], - ), - EvalData( - category="Multitool Selections", - query="What are some flights from SFO to Chicago tomorrow?", - tool_calls=[ - ToolCall( - name="Search Airport", - arguments={ - "city": "Chicago", - }, - ), - ToolCall( - name="List Flights", - arguments={ - "departure_airport": "SFO", - "arrival_airport": "ORD", - "date": f"{get_date(1)}", - }, - ), - ], - ), -] diff --git a/llm_demo/evaluation/evaluation.py b/llm_demo/evaluation/evaluation.py deleted file mode 100644 index fa6d0caca..000000000 --- a/llm_demo/evaluation/evaluation.py +++ /dev/null @@ -1,164 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -import json -from typing import Dict, List - -import pandas as pd -from pydantic import BaseModel, Field -from vertexai.evaluation import EvalTask -from vertexai.evaluation import _base as evaluation_base - -from orchestrator import BaseOrchestrator - -from .eval_golden import EvalData, ToolCall -from .metrics import response_phase_metrics, retrieval_phase_metrics - - -async def run_llm_for_eval( - eval_list: List[EvalData], orc: BaseOrchestrator, session: Dict, session_id: str -) -> List[EvalData]: - """ - Generate llm_tool_calls and llm_output for golden dataset query. - This function is only compatible with the langchain-tools orchestration. - """ - agent = orc.get_user_session(session_id) - for eval_data in eval_list: - try: - query_response = await agent.invoke(eval_data.query) - except Exception as e: - print(f"error invoking agent: {e}") - else: - eval_data.llm_output = query_response.get("output") - - # Retrieve llm_tool_calls from query response - llm_tool_calls = [] - contexts = [] - for step in query_response.get("intermediate_steps"): - called_tool = step[0] - tool_call = ToolCall( - name=called_tool.tool, - arguments=called_tool.tool_input, - ) - llm_tool_calls.append(tool_call) - context = step[-1] - contexts.append(context) - - eval_data.llm_tool_calls = llm_tool_calls - eval_data.context = contexts - eval_data.prompt = PROMPT - eval_data.instruction = f"Answer user query based on context given. User query is {eval_data.query}." - - if eval_data.reset: - orc.user_session_reset(session, session_id) - return eval_list - - -def evaluate_retrieval_phase( - eval_datas: List[EvalData], experiment_name: str -) -> evaluation_base.EvalResult: - """ - Run evaluation for the ability of a model to select the right tool and arguments (retrieval phase). - """ - # Prepare evaluation task input - responses = [] - references = [] - for e in eval_datas: - references.append( - json.dumps( - { - "content": e.content, - "tool_calls": [t.model_dump() for t in e.tool_calls], - } - ) - ) - responses.append( - json.dumps( - { - "content": e.content, - "tool_calls": [t.model_dump() for t in e.llm_tool_calls], - } - ) - ) - eval_dataset = pd.DataFrame( - { - "response": responses, - "reference": references, - } - ) - # Run evaluation - eval_result = EvalTask( - dataset=eval_dataset, - metrics=retrieval_phase_metrics, - experiment=experiment_name, - ).evaluate() - return eval_result - - -def evaluate_response_phase( - eval_datas: List[EvalData], experiment_name: str -) -> evaluation_base.EvalResult: - """ - Run evaluation for the ability of a model to generate a response based on the context given (response phase). - """ - # Prepare evaluation task input - instructions = [] - contexts = [] - responses = [] - prompts = [] - - for e in eval_datas: - instructions.append(e.instruction) - context_str = ( - [json.dumps(c) for c in e.context] if e.context else ["no data retrieved"] - ) - prompts.append(e.prompt) - contexts.append(", ".join(context_str)) - responses.append(e.llm_output or "") - eval_dataset = pd.DataFrame( - { - "instruction": instructions, - "prompt": prompts, - "context": contexts, - "response": responses, - } - ) - # Run evaluation - eval_result = EvalTask( - dataset=eval_dataset, - metrics=response_phase_metrics, - experiment=experiment_name, - ).evaluate() - return eval_result - - -PROMPT = """The Cymbal Air Customer Service Assistant helps customers of Cymbal Air with their travel needs. - -Cymbal Air (airline unique two letter identifier as CY) is a passenger airline offering convenient flights to many cities around the world from its -hub in San Francisco. Cymbal Air takes pride in using the latest technology to offer the best customer -service! - -Cymbal Air Customer Service Assistant (or just "Assistant" for short) is designed to assist -with a wide range of tasks, from answering simple questions to complex multi-query questions that -require passing results from one query to another. Using the latest AI models, Assistant is able to -generate human-like text based on the input it receives, allowing it to engage in natural-sounding -conversations and provide responses that are coherent and relevant to the topic at hand. The assistant should -not answer questions about other peoples information for privacy reasons. - -Assistant is a powerful tool that can help answer a wide range of questions pertaining to travel on Cymbal Air -as well as ammenities of San Francisco Airport. - -Answer user query based on context or information given. -""" diff --git a/llm_demo/evaluation/metrics.py b/llm_demo/evaluation/metrics.py deleted file mode 100644 index d545090e4..000000000 --- a/llm_demo/evaluation/metrics.py +++ /dev/null @@ -1,49 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from vertexai.evaluation import MetricPromptTemplateExamples, PointwiseMetric - -text_quality_metric = PointwiseMetric( - metric="text_quality", - metric_prompt_template=MetricPromptTemplateExamples.get_prompt_template( - "text_quality" - ), -) - -summarization_quality_metric = PointwiseMetric( - metric="summarization_quality", - metric_prompt_template=MetricPromptTemplateExamples.get_prompt_template( - "summarization_quality" - ), -) - -question_answering_quality_metric = PointwiseMetric( - metric="question_answering_quality", - metric_prompt_template=MetricPromptTemplateExamples.get_prompt_template( - "question_answering_quality" - ), -) - -response_phase_metrics = [ - text_quality_metric, - summarization_quality_metric, - question_answering_quality_metric, -] - -retrieval_phase_metrics = [ - "tool_call_valid", - "tool_name_match", - "tool_parameter_key_match", - "tool_parameter_kv_match", -] diff --git a/llm_demo/langchain_tools.int.tests.cloudbuild.yaml b/llm_demo/langchain_tools.int.tests.cloudbuild.yaml deleted file mode 100644 index 0ad807b78..000000000 --- a/llm_demo/langchain_tools.int.tests.cloudbuild.yaml +++ /dev/null @@ -1,80 +0,0 @@ -# Copyright 2023 Google LLC -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: "Deploy to Cloud Run" - name: "gcr.io/cloud-builders/gcloud:latest" - dir: llm_demo - script: | - #!/usr/bin/env bash - gcloud run deploy ${_SERVICE} \ - --source . \ - --region ${_REGION} \ - --no-allow-unauthenticated \ - --update-env-vars ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE} - - - id: "Test Frontend" - name: "gcr.io/cloud-builders/gcloud:latest" - entrypoint: /bin/bash - env: # Set env var expected by app - args: - - "-c" - - | - export URL=$(gcloud run services describe ${_SERVICE} --region ${_REGION} --format 'value(status.url)') - export ID_TOKEN=$(gcloud auth print-identity-token --audiences $$URL) - export ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE} - - # Test `/` route - curl -c cookies.txt -si --fail --show-error -H "Authorization: Bearer $$ID_TOKEN" $$URL - - # Test `/chat` route should fail - msg=$(curl -si --show-error \ - -X POST \ - -H "Authorization: Bearer $$ID_TOKEN" \ - -H 'Content-Type: application/json' \ - -d '{"prompt":"How can you help me?"}' \ - $$URL/chat) - - if grep -q "400" <<< "$msg"; then - echo "Chat Handler Test: PASSED" - else - echo "Chat Handler Test: FAILED" - echo $msg && exit 1 - fi - - # Test `/chat` route - curl -b cookies.txt -si --fail --show-error \ - -X POST \ - -H "Authorization: Bearer $$ID_TOKEN" \ - -H 'Content-Type: application/json' \ - -d '{"prompt":"How can you help me?"}' \ - $$URL/chat - - - id: "Delete image and service" - name: "gcr.io/cloud-builders/gcloud" - script: | - #!/usr/bin/env bash - gcloud artifacts docker images delete $_GCR_HOSTNAME/$PROJECT_ID/cloud-run-source-deploy/$_SERVICE --quiet - gcloud run services delete ${_SERVICE} --region ${_REGION} --quiet - -serviceAccount: "projects/$PROJECT_ID/serviceAccounts/548341735270-compute@developer.gserviceaccount.com" # Necessary for ID token creation -options: - automapSubstitutions: true - logging: CLOUD_LOGGING_ONLY # Necessary for custom service account - dynamic_substitutions: true - -substitutions: - _GCR_HOSTNAME: ${_REGION}-docker.pkg.dev - _SERVICE: demo-service-${BUILD_ID} - _REGION: us-central1 - _ORCHESTRATION_TYPE: langchain-tools diff --git a/llm_demo/orchestrator/__init__.py b/llm_demo/orchestrator/__init__.py deleted file mode 100644 index cc4edd679..000000000 --- a/llm_demo/orchestrator/__init__.py +++ /dev/null @@ -1,24 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from . import langchain_tools, langgraph, vertexai_function_calling -from .orchestrator import BaseOrchestrator, createOrchestrator - -__ALL__ = [ - "BaseOrchestrator", - "createOrchestrator", - "langchain_tools", - "vertexai_function_calling", - "langgraph", -] diff --git a/llm_demo/orchestrator/langchain_tools/__init__.py b/llm_demo/orchestrator/langchain_tools/__init__.py deleted file mode 100644 index 0633529c2..000000000 --- a/llm_demo/orchestrator/langchain_tools/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from .langchain_tools_orchestrator import LangChainToolsOrchestrator - -__ALL__ = ["LangChainToolsOrchestrator"] diff --git a/llm_demo/orchestrator/langchain_tools/langchain_tools_orchestrator.py b/llm_demo/orchestrator/langchain_tools/langchain_tools_orchestrator.py deleted file mode 100644 index f1ee7679e..000000000 --- a/llm_demo/orchestrator/langchain_tools/langchain_tools_orchestrator.py +++ /dev/null @@ -1,338 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -import os -import uuid -from datetime import datetime -from typing import Any, Dict, List, Optional - -from aiohttp import ClientSession, TCPConnector -from fastapi import HTTPException -from langchain.agents import AgentType, initialize_agent -from langchain.agents.agent import AgentExecutor -from langchain.globals import set_verbose # type: ignore -from langchain.memory import ConversationBufferMemory -from langchain_community.chat_message_histories import ChatMessageHistory -from langchain_core.messages import AIMessage, BaseMessage, HumanMessage -from langchain_core.prompts import ChatPromptTemplate -from langchain_core.tools import StructuredTool -from langchain_google_vertexai import ChatVertexAI -from pytz import timezone - -from ..orchestrator import BaseOrchestrator, classproperty -from .tools import ( - get_confirmation_needing_tools, - initialize_tools, - insert_ticket, - validate_ticket, -) - -set_verbose(bool(os.getenv("DEBUG", default=False))) -BASE_HISTORY = { - "type": "ai", - "data": {"content": "Welcome to Cymbal Air! How may I assist you?"}, -} - - -class UserAgent: - client: ClientSession - agent: AgentExecutor - - def __init__( - self, - client: ClientSession, - agent: AgentExecutor, - memory: ConversationBufferMemory, - ): - self.client = client - self.agent = agent - self.memory = memory - - @classmethod - def initialize_agent( - cls, - client: ClientSession, - tools: List[StructuredTool], - history: List[BaseMessage], - prompt: ChatPromptTemplate, - model: str, - ) -> "UserAgent": - # TODO: Use .bind_tools(tools) to bind the tools with the LLM. - llm = ChatVertexAI(max_output_tokens=512, model_name=model, temperature=0.0) - memory = ConversationBufferMemory( - chat_memory=ChatMessageHistory(messages=history), - memory_key="chat_history", - input_key="input", - output_key="output", - ) - agent = initialize_agent( - tools, - llm, - agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, - memory=memory, - handle_parsing_errors=True, - max_iterations=3, - early_stopping_method="generate", - return_intermediate_steps=True, - ) - agent.agent.llm_chain.prompt = prompt # type: ignore - return UserAgent(client, agent, memory) - - async def close(self): - await self.client.close() - - async def invoke(self, prompt: str) -> Dict[str, Any]: - try: - response = await self.agent.ainvoke({"input": prompt}) - except Exception as err: - raise HTTPException(status_code=500, detail=f"Error invoking agent: {err}") - return response - - async def insert_ticket(self, params: str): - return await insert_ticket(self.client, params) - - def reset_memory(self, base_message: List[BaseMessage]): - self.memory.clear() - self.memory.chat_memory = ChatMessageHistory(messages=base_message) - - -class LangChainToolsOrchestrator(BaseOrchestrator): - _user_sessions: Dict[str, UserAgent] - # aiohttp context - connector = None - - def __init__(self): - self._user_sessions = {} - - @classproperty - def kind(cls): - return "langchain-tools" - - def user_session_exist(self, uuid: str) -> bool: - return uuid in self._user_sessions - - async def user_session_insert_ticket(self, uuid: str, params: str) -> Any: - user_session = self.get_user_session(uuid) - response = await user_session.insert_ticket(params) - return response - - async def user_session_decline_ticket(self, uuid: str) -> Optional[dict[str, Any]]: - """ - Used if there's a process to be done after user decline ticket. - Return None is nothing is needed to be done. - """ - return None - - async def check_and_add_confirmations(self, response: Dict[str, Any]): - for step in response.get("intermediate_steps") or []: - if len(step) > 0: - # Find the called tool in the step - called_tool = step[0] - # Check to see if the agent has made a decision to call Prepare Insert Ticket - # This tool is a no-op and requires user confirmation before continuing - if called_tool.tool in self.confirmation_needing_tools: - if called_tool.tool == "Insert Ticket": - flight_info = await validate_ticket( - self.client, called_tool.tool_input - ) - return {"tool": called_tool.tool, "params": flight_info} - return {"tool": called_tool.tool, "params": called_tool.tool_input} - return None - - async def user_session_create(self, session: dict[str, Any]): - """Create and load an agent executor with tools and LLM.""" - print("Initializing agent..") - if "uuid" not in session: - session["uuid"] = str(uuid.uuid4()) - id = session["uuid"] - if "history" not in session: - session["history"] = [BASE_HISTORY] - history = self.parse_messages(session["history"]) - client = await self.create_client_session() - tools = await initialize_tools(client) - prompt = self.create_prompt_template(tools) - agent = UserAgent.initialize_agent(client, tools, history, prompt, self.MODEL) - self._user_sessions[id] = agent - self.confirmation_needing_tools = get_confirmation_needing_tools() - self.client = client - - async def user_session_invoke(self, uuid: str, prompt: str) -> dict[str, Any]: - user_session = self.get_user_session(uuid) - # Send prompt to LLM - agent_response = await user_session.invoke(prompt) - # Check for calls that may require confirmation to proceed - confirmation = await self.check_and_add_confirmations(agent_response) - # Build final response - response = {} - response["output"] = agent_response.get("output") - if confirmation: - response["confirmation"] = confirmation - return response - - def user_session_reset(self, session: dict[str, Any], uuid: str): - user_session = self.get_user_session(uuid) - del session["history"] - base_history = self.get_base_history(session) - session["history"] = [base_history] - history = self.parse_messages(session["history"]) - user_session.reset_memory(history) - - def get_user_session(self, uuid: str) -> UserAgent: - return self._user_sessions[uuid] - - async def get_connector(self) -> TCPConnector: - if self.connector is None: - self.connector = TCPConnector(limit=100) - return self.connector - - async def create_client_session(self) -> ClientSession: - return ClientSession( - connector=await self.get_connector(), - connector_owner=False, - headers={}, - raise_for_status=True, - ) - - def create_prompt_template(self, tools: List[StructuredTool]) -> ChatPromptTemplate: - # Create new prompt template - tool_strings = "\n".join( - [f"> {tool.name}: {tool.description}" for tool in tools] - ) - tool_names = ", ".join([tool.name for tool in tools]) - format_instructions = FORMAT_INSTRUCTIONS.format( - tool_names=tool_names, - ) - current_datetime = "Today's date and current time is {cur_datetime}." - template = "\n\n".join( - [ - PREFIX, - current_datetime, - TOOLS_PREFIX, - tool_strings, - format_instructions, - SUFFIX, - ] - ) - human_message_template = "{input}\n\n{agent_scratchpad}" - - prompt = ChatPromptTemplate.from_messages( - [("system", template), ("human", human_message_template)] - ) - prompt = prompt.partial(cur_datetime=self.get_datetime) - return prompt - - def get_datetime(self): - formatter = "%A, %m/%d/%Y, %H:%M:%S" - now = datetime.now(timezone("US/Pacific")) - return now.strftime(formatter) - - def parse_messages(self, datas: List[Any]) -> List[BaseMessage]: - messages: List[BaseMessage] = [] - for data in datas: - if data["type"] == "human": - messages.append(HumanMessage(content=data["data"]["content"])) - elif data["type"] == "ai": - messages.append(AIMessage(content=data["data"]["content"])) - else: - raise Exception("Message type not found.") - return messages - - def get_base_history(self, session: dict[str, Any]): - if "user_info" in session: - base_history = { - "type": "ai", - "data": { - "content": f"Welcome to Cymbal Air, {session['user_info']['name']}! How may I assist you?" - }, - } - return base_history - return BASE_HISTORY - - async def user_session_signout(self, uuid: str): - user_session = self.get_user_session(uuid) - if user_session: - await user_session.close() - del self._user_sessions[uuid] - - async def close_clients(self): - close_client_tasks = [ - asyncio.create_task(a.close()) for a in self._user_sessions.values() - ] - await asyncio.gather(*close_client_tasks) - - -PREFIX = """The Cymbal Air Customer Service Assistant helps customers of Cymbal Air with their travel needs. - -Cymbal Air (airline unique two letter identifier as CY) is a passenger airline offering convenient flights to many cities around the world from its -hub in San Francisco. Cymbal Air takes pride in using the latest technology to offer the best customer -service! - -Cymbal Air Customer Service Assistant (or just "Assistant" for short) is designed to assist -with a wide range of tasks, from answering simple questions to complex multi-query questions that -require passing results from one query to another. Using the latest AI models, Assistant is able to -generate human-like text based on the input it receives, allowing it to engage in natural-sounding -conversations and provide responses that are coherent and relevant to the topic at hand. The assistant should -not answer questions about other peoples information for privacy reasons. - -Assistant is a powerful tool that can help answer a wide range of questions pertaining to travel on Cymbal Air -as well as ammenities of San Francisco Airport.""" - -TOOLS_PREFIX = """ -TOOLS: ------- - -Assistant has access to the following tools:""" - -FORMAT_INSTRUCTIONS = """Use a json blob to specify a tool by providing an action key (tool name) -and an action_input key (tool input). - -Valid "action" values: "Final Answer" or {tool_names} - -Provide only ONE action per $JSON_BLOB, as shown: - -``` -{{{{ - "action": $TOOL_NAME, - "action_input": $INPUT -}}}} -``` - -Follow this format: - -Question: input question to answer -Thought: consider previous and subsequent steps -Action: -``` -$JSON_BLOB -``` -Observation: action result -... (repeat Thought/Action/Observation N times) -Thought: I know what to respond -Action: -``` -{{{{ - "action": "Final Answer", - "action_input": "Final response to human" -}}}} -```""" - -SUFFIX = """Begin! Use tools if necessary. Respond directly if appropriate. -If using a tool, reminder to ALWAYS respond with a valid json blob of a single action. -Format is Action:```$JSON_BLOB```then Observation:. -Thought: - -Previous conversation history: -{chat_history} -""" diff --git a/llm_demo/orchestrator/langchain_tools/tools.py b/llm_demo/orchestrator/langchain_tools/tools.py deleted file mode 100644 index 9aa006577..000000000 --- a/llm_demo/orchestrator/langchain_tools/tools.py +++ /dev/null @@ -1,436 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import json -import os -from datetime import date, datetime -from typing import Any, Dict, Optional - -import aiohttp -import google.oauth2.id_token # type: ignore -from google.auth import compute_engine # type: ignore -from google.auth.transport.requests import Request # type: ignore -from langchain_core.tools import StructuredTool -from pydantic import BaseModel, Field - -BASE_URL = os.getenv("BASE_URL", default="http://127.0.0.1:8080") -CREDENTIALS = None - - -def filter_none_values(params: Dict) -> Dict: - return {key: value for key, value in params.items() if value is not None} - - -def get_id_token(): - global CREDENTIALS - if CREDENTIALS is None: - CREDENTIALS, _ = google.auth.default() - if not hasattr(CREDENTIALS, "id_token"): - # Use Compute Engine default credential - CREDENTIALS = compute_engine.IDTokenCredentials( - request=Request(), - target_audience=BASE_URL, - use_metadata_identity_endpoint=True, - ) - if not CREDENTIALS.valid: - CREDENTIALS.refresh(Request()) - if hasattr(CREDENTIALS, "id_token"): - return CREDENTIALS.id_token - else: - return CREDENTIALS.token - - -def get_headers(client: aiohttp.ClientSession): - """Helper method to generate ID tokens for authenticated requests""" - headers = client.headers - if not "http://" in BASE_URL: - # Append ID Token to make authenticated requests to Cloud Run services - headers["Authorization"] = f"Bearer {get_id_token()}" - return headers - - -# Tools -class AirportSearchInput(BaseModel): - country: Optional[str] = Field(description="Country") - city: Optional[str] = Field(description="City") - name: Optional[str] = Field(description="Airport name") - - -def generate_search_airports(client: aiohttp.ClientSession): - async def search_airports(country: str, city: str, name: str): - params = { - "country": country, - "city": city, - "name": name, - } - response = await client.get( - url=f"{BASE_URL}/airports/search", - params=filter_none_values(params), - headers=get_headers(client), - ) - - response_json = await response.json() - response_results = response_json.get("results") - if len(response_results) < 1: - return "There are no airports matching that query. Let the user know there are no results." - else: - return response_results - - return search_airports - - -class FlightNumberInput(BaseModel): - airline: str = Field(description="Airline unique 2 letter identifier") - flight_number: str = Field(description="1 to 4 digit number") - - -def generate_search_flights_by_number(client: aiohttp.ClientSession): - async def search_flights_by_number(airline: str, flight_number: str): - response = await client.get( - url=f"{BASE_URL}/flights/search", - params={"airline": airline, "flight_number": flight_number}, - headers=get_headers(client), - ) - - response_json = await response.json() - return response_json.get("results") - - return search_flights_by_number - - -class ListFlights(BaseModel): - departure_airport: Optional[str] = Field( - description="Departure airport 3-letter code", - ) - arrival_airport: Optional[str] = Field(description="Arrival airport 3-letter code") - date: str = Field(description="Date of flight departure") - - -def generate_list_flights(client: aiohttp.ClientSession): - async def list_flights( - departure_airport: str, - arrival_airport: str, - date: str, - ): - params = { - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "date": date, - } - response = await client.get( - url=f"{BASE_URL}/flights/search", - params=filter_none_values(params), - headers=get_headers(client), - ) - - response_json = await response.json() - response_results = response_json.get("results") - if len(response_results) < 1: - return "There are no flights matching that query. Let the user know there are no results." - else: - return response_results - - return list_flights - - -class QueryInput(BaseModel): - query: str = Field(description="Search query") - - -def generate_search_amenities(client: aiohttp.ClientSession): - async def search_amenities(query: str): - response = await client.get( - url=f"{BASE_URL}/amenities/search", - params={"top_k": "5", "query": query}, - headers=get_headers(client), - ) - - response_json = await response.json() - response_results = response_json.get("results") - return response_results - - return search_amenities - - -def generate_search_policies(client: aiohttp.ClientSession): - async def search_policies(query: str): - response = await client.get( - url=f"{BASE_URL}/policies/search", - params={"top_k": "5", "query": query}, - headers=get_headers(client), - ) - - response_json = await response.json() - response_results = response_json.get("results") - return response_results - - return search_policies - - -class TicketInput(BaseModel): - airline: str = Field(description="Airline unique 2 letter identifier") - flight_number: str = Field(description="1 to 4 digit number") - departure_airport: str = Field( - description="Departure airport 3-letter code", - ) - departure_time: datetime = Field(description="Flight departure datetime") - arrival_airport: Optional[str] = Field(description="Arrival airport 3-letter code") - arrival_time: Optional[datetime] = Field(description="Flight arrival datetime") - - -def generate_insert_ticket(client: aiohttp.ClientSession): - async def insert_ticket( - airline: str | None = None, - flight_number: str | None = None, - departure_airport: str | None = None, - arrival_airport: str | None = None, - departure_time: datetime | date | None = None, - arrival_time: datetime | date | None = None, - ): - return f"Booking ticket on {airline} {flight_number}" - - return insert_ticket - - -async def insert_ticket(client: aiohttp.ClientSession, params: str): - ticket_info = json.loads(params) - response = await client.post( - url=f"{BASE_URL}/tickets/insert", - params={ - "airline": ticket_info.get("airline"), - "flight_number": ticket_info.get("flight_number"), - "departure_airport": ticket_info.get("departure_airport"), - "arrival_airport": ticket_info.get("arrival_airport"), - "departure_time": ticket_info.get("departure_time").replace("T", " "), - "arrival_time": ticket_info.get("arrival_time").replace("T", " "), - }, - headers=get_headers(client), - ) - response_json = await response.json() - return "Flight booking successful." - - -async def validate_ticket(client: aiohttp.ClientSession, ticket_info: Dict[Any, Any]): - response = await client.get( - url=f"{BASE_URL}/tickets/validate", - params=filter_none_values( - { - "airline": ticket_info.get("airline"), - "flight_number": ticket_info.get("flight_number"), - "departure_airport": ticket_info.get("departure_airport"), - "departure_time": ticket_info.get("departure_time", "").replace( - "T", " " - ), - } - ), - headers=get_headers(client), - ) - response_json = await response.json() - response_results = response_json.get("results") - - flight_info = { - "airline": response_results.get("airline"), - "flight_number": response_results.get("flight_number"), - "departure_airport": response_results.get("departure_airport"), - "arrival_airport": response_results.get("arrival_airport"), - "departure_time": response_results.get("departure_time"), - "arrival_time": response_results.get("arrival_time"), - } - return flight_info - - -def generate_list_tickets(client: aiohttp.ClientSession): - async def list_tickets(): - response = await client.get( - url=f"{BASE_URL}/tickets/list", - headers=get_headers(client), - ) - - response_json = await response.json() - tickets = response_json.get("results") - if len(tickets) == 0: - return { - "results": "There are no upcoming tickets", - "sql": response_json.get("sql"), - } - else: - return response_json - - return list_tickets - - -# Tools for agent -async def initialize_tools(client: aiohttp.ClientSession): - return [ - StructuredTool.from_function( - coroutine=generate_search_airports(client), - name="Search Airport", - description=""" - Use this tool to list all airports matching search criteria. - Takes at least one of country, city, name, or all and returns all matching airports. - The agent can decide to return the results directly to the user. - Input of this tool must be in JSON format and include all three inputs - country, city, name. - Example: - {{ - "country": "United States", - "city": "San Francisco", - "name": null - }} - Example: - {{ - "country": null, - "city": "Goroka", - "name": "Goroka" - }} - Example: - {{ - "country": "Mexico", - "city": null, - "name": null - }} - """, - args_schema=AirportSearchInput, - ), - StructuredTool.from_function( - coroutine=generate_search_flights_by_number(client), - name="Search Flights By Flight Number", - description=""" - Use this tool to get information for a specific flight. - Takes an airline code and flight number and returns info on the flight. - Do NOT use this tool with a flight id. Do NOT guess an airline code or flight number. - A airline code is a code for an airline service consisting of two-character - airline designator and followed by flight number, which is 1 to 4 digit number. - For example, if given CY 0123, the airline is "CY", and flight_number is "123". - Another example for this is DL 1234, the airline is "DL", and flight_number is "1234". - If the tool returns more than one option choose the date closes to today. - Example: - {{ - "airline": "CY", - "flight_number": "888", - }} - Example: - {{ - "airline": "DL", - "flight_number": "1234", - }} - """, - args_schema=FlightNumberInput, - ), - StructuredTool.from_function( - coroutine=generate_list_flights(client), - name="List Flights", - description=""" - Use this tool to list flights information matching search criteria. - Takes an arrival airport, a departure airport, or both, filters by date and returns all matching flights. - If 3-letter iata code is not provided for departure_airport or arrival_airport, use search airport tools to get iata code information. - Do NOT guess a date, ask user for date input if it is not given. Date must be in the following format: YYYY-MM-DD. - The agent can decide to return the results directly to the user. - Input of this tool must be in JSON format and include all three inputs - arrival_airport, departure_airport, and date. - Example: - {{ - "departure_airport": "SFO", - "arrival_airport": null, - "date": 2025-10-30" - }} - Example: - {{ - "departure_airport": "SFO", - "arrival_airport": "SEA", - "date": "2025-11-01" - }} - Example: - {{ - "departure_airport": null, - "arrival_airport": "SFO", - "date": "2025-01-01" - }} - """, - args_schema=ListFlights, - ), - StructuredTool.from_function( - coroutine=generate_search_amenities(client), - name="Search Amenities", - description=""" - Use this tool to search amenities by name or to recommended airport amenities at SFO. - If user provides flight info, use 'Search Flights by Flight Number' - first to get gate info and location. - Only recommend amenities that are returned by this query. - Find amenities close to the user by matching the terminal and then comparing - the gate numbers. Gate number iterate by letter and number, example A1 A2 A3 - B1 B2 B3 C1 C2 C3. Gate A3 is close to A2 and B1. - Input of this tool must be in JSON format and include one `query` input. - """, - args_schema=QueryInput, - ), - StructuredTool.from_function( - coroutine=generate_search_policies(client), - name="Search Policies", - description=""" - Use this tool to search for cymbal air passenger policy. - Policy that are listed is unchangeable. - You will not answer any questions outside of the policy given. - Policy includes information on ticket purchase and changes, baggage, check-in and boarding, special assistance, overbooking, flight delays and cancellations. - Input of this tool must be in JSON format and include one `query` input. - """, - args_schema=QueryInput, - ), - StructuredTool.from_function( - coroutine=generate_insert_ticket(client), - name="Insert Ticket", - description=""" - Use this tool to book a flight ticket for the user. - Example: - {{ - "airline": "AA", - "flight_number": "452", - "departure_airport": "LAX", - "arrival_airport": "SFO", - "departure_time": "2025-01-01 05:50:00", - "arrival_time": "2025-01-01 09:23:00" - }} - Example: - {{ - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "arrival_airport": "DEN", - "departure_time": "2025-01-08 05:50:00", - "arrival_time": "2025-01-08 09:23:00" - }} - Example: - {{ - "airline": "OO", - "flight_number": "6307", - "departure_airport": "SFO", - "arrival_airport": "MSP", - "departure_time": "2025-10-28 20:13:00", - "arrival_time": "2025-10-28 21:07:00" - }} - """, - args_schema=TicketInput, - ), - StructuredTool.from_function( - coroutine=generate_list_tickets(client), - name="List Tickets", - description=""" - Use this tool to list a user's flight tickets. - Takes no input and returns a list of current user's flight tickets. - Input is always empty JSON blob. Example: {{}} - """, - ), - ] - - -def get_confirmation_needing_tools(): - return ["Insert Ticket"] diff --git a/llm_demo/orchestrator/langgraph/tool_node.py b/llm_demo/orchestrator/langgraph/tool_node.py deleted file mode 100644 index fd3111a72..000000000 --- a/llm_demo/orchestrator/langgraph/tool_node.py +++ /dev/null @@ -1,132 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -import copy -import json -import uuid -from itertools import repeat -from typing import Any, Callable, Dict, Optional, Sequence, Union - -from langchain_core.messages import AIMessage, AnyMessage, ToolCall, ToolMessage -from langchain_core.runnables import RunnableConfig -from langchain_core.runnables.config import get_executor_for_config -from langchain_core.tools import BaseTool -from langchain_core.tools import tool as create_tool -from langgraph.utils.runnable import RunnableCallable - - -def str_output(output: Any) -> str: - if isinstance(output, str): - return output - else: - try: - return json.dumps(output) - except Exception: - return str(output) - - -class ToolNode(RunnableCallable): - """ - A node that runs the tools requested in the last AIMessage. It can be used - either in StateGraph with a "messages" key or in MessageGraph. If multiple - tool calls are requested, they will be run in parallel. The output will be - a list of ToolMessages, one for each tool call. - """ - - def __init__( - self, - tools: Sequence[Union[BaseTool, Callable]], - *, - name: str = "tools", - tags: Optional[list[str]] = None, - ) -> None: - super().__init__(self._func, self._afunc, name=name, tags=tags, trace=False) - self.tools_by_name: Dict[str, BaseTool] = {} - for tool_ in tools: - if not isinstance(tool_, BaseTool): - tool_ = create_tool(tool_) - else: - base_tool_ = tool_ - if hasattr(tool_, "name"): - self.tools_by_name[tool_.name] = base_tool_ - - def _func(self, input: dict[str, Any], config: RunnableConfig) -> Any: - if messages := input.get("messages", []): - output_type = "dict" - message = messages[-1] - else: - raise ValueError("No message found in input") - - if not isinstance(message, AIMessage): - raise ValueError("Last message is not an AIMessage") - - user_id_token = input.get("user_id_token") - - def run_one(call: ToolCall, user_id_token: Optional[str]): - args = copy.copy(call["args"]) or {} - args["user_id_token"] = user_id_token - response = self.tools_by_name[call["name"]].invoke(args, config) - output = response.get("results") - sql = response.get("sql") - tool_call_id = call.get("id") or str(uuid.uuid4()) - return ToolMessage( - content=str_output(output), - name=call["name"], - tool_call_id=tool_call_id, - additional_kwargs={"sql": sql}, - ) - - with get_executor_for_config(config) as executor: - outputs = [ - *executor.map(run_one, message.tool_calls, repeat(user_id_token)) - ] - if output_type == "list": - return outputs - else: - return {"messages": outputs} - - async def _afunc(self, input: dict[str, Any], config: RunnableConfig) -> Any: - if messages := input.get("messages", []): - output_type = "dict" - message = messages[-1] - else: - raise ValueError("No message found in input") - - if not isinstance(message, AIMessage): - raise ValueError("Last message is not an AIMessage") - - user_id_token = input.get("user_id_token") - - async def run_one(call: ToolCall, user_id_token: Optional[str]): - args = copy.copy(call["args"]) or {} - args["user_id_token"] = user_id_token - response = await self.tools_by_name[call["name"]].ainvoke(args, config) - output = response.get("results") - sql = response.get("sql") - tool_call_id = call.get("id") or str(uuid.uuid4()) - return ToolMessage( - content=str_output(output), - name=call["name"], - tool_call_id=tool_call_id, - additional_kwargs={"sql": sql}, - ) - - outputs = await asyncio.gather( - *(run_one(call, user_id_token) for call in message.tool_calls) - ) - if output_type == "list": - return outputs - else: - return {"messages": outputs} diff --git a/llm_demo/orchestrator/langgraph/tools.py b/llm_demo/orchestrator/langgraph/tools.py deleted file mode 100644 index 18ed8da11..000000000 --- a/llm_demo/orchestrator/langgraph/tools.py +++ /dev/null @@ -1,455 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import json -import os -from dataclasses import dataclass -from datetime import date, datetime -from typing import Any, Dict, Optional - -import aiohttp -import google.oauth2.id_token # type: ignore -from google.auth import compute_engine # type: ignore -from google.auth.transport.requests import Request # type: ignore -from langchain_core.tools import StructuredTool -from pydantic import BaseModel, Field - -BASE_URL = os.getenv("BASE_URL", default="http://127.0.0.1:8080") -CREDENTIALS = None - - -def filter_none_values(params: Dict) -> Dict: - return {key: value for key, value in params.items() if value is not None} - - -def get_id_token(): - global CREDENTIALS - if CREDENTIALS is None: - CREDENTIALS, _ = google.auth.default() - if not hasattr(CREDENTIALS, "id_token"): - # Use Compute Engine default credential - CREDENTIALS = compute_engine.IDTokenCredentials( - request=Request(), - target_audience=BASE_URL, - use_metadata_identity_endpoint=True, - ) - if not CREDENTIALS.valid: - CREDENTIALS.refresh(Request()) - if hasattr(CREDENTIALS, "id_token"): - return CREDENTIALS.id_token - else: - return CREDENTIALS.token - - -def get_headers(client: aiohttp.ClientSession, user_id_token: str): - """Helper method to generate ID tokens for authenticated requests""" - headers = client.headers - headers["User-Id-Token"] = f"Bearer {user_id_token}" - if not "http://" in BASE_URL: - # Append ID Token to make authenticated requests to Cloud Run services - headers["Authorization"] = f"Bearer {get_id_token()}" - return headers - - -# Tools -class AirportSearchInput(BaseModel): - country: Optional[str] = Field(description="Country") - city: Optional[str] = Field(description="City") - name: Optional[str] = Field(description="Airport name") - user_id_token: Optional[str] - - -def generate_search_airports(client: aiohttp.ClientSession): - async def search_airports(country: str, city: str, name: str, user_id_token: str): - params = { - "country": country, - "city": city, - "name": name, - } - response = await client.get( - url=f"{BASE_URL}/airports/search", - params=filter_none_values(params), - headers=get_headers(client, user_id_token), - ) - - response_json = await response.json() - if len(response_json) < 1: - return "There are no airports matching that query. Let the user know there are no results." - else: - return response_json - - return search_airports - - -class FlightNumberInput(BaseModel): - airline: str = Field(description="Airline unique 2 letter identifier") - flight_number: str = Field(description="1 to 4 digit number") - user_id_token: Optional[str] - - -def generate_search_flights_by_number(client: aiohttp.ClientSession): - async def search_flights_by_number( - airline: str, flight_number: str, user_id_token: str - ): - response = await client.get( - url=f"{BASE_URL}/flights/search", - params={"airline": airline, "flight_number": flight_number}, - headers=get_headers(client, user_id_token), - ) - - return await response.json() - - return search_flights_by_number - - -class ListFlightsInput(BaseModel): - departure_airport: Optional[str] = Field( - description="Departure airport 3-letter code", - ) - arrival_airport: Optional[str] = Field(description="Arrival airport 3-letter code") - date: str = Field(description="Date of flight departure") - user_id_token: Optional[str] - - -def generate_list_flights(client: aiohttp.ClientSession): - async def list_flights( - departure_airport: str, - arrival_airport: str, - date: str, - user_id_token: str, - ): - params = { - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "date": date, - } - response = await client.get( - url=f"{BASE_URL}/flights/search", - params=filter_none_values(params), - headers=get_headers(client, user_id_token), - ) - - response_json = await response.json() - if len(response_json) < 1: - return { - "results": "There are no flights matching that query. Let the user know there are no results." - } - else: - return response_json - - return list_flights - - -class QueryInput(BaseModel): - query: str = Field(description="Search query") - user_id_token: Optional[str] - - -def generate_search_amenities(client: aiohttp.ClientSession): - async def search_amenities(query: str, user_id_token: str): - response = await client.get( - url=f"{BASE_URL}/amenities/search", - params={"top_k": "5", "query": query}, - headers=get_headers(client, user_id_token), - ) - - response = await response.json() - return response - - return search_amenities - - -def generate_search_policies(client: aiohttp.ClientSession): - async def search_policies(query: str, user_id_token: str): - response = await client.get( - url=f"{BASE_URL}/policies/search", - params={"top_k": "5", "query": query}, - headers=get_headers(client, user_id_token), - ) - - response = await response.json() - return response - - return search_policies - - -class TicketInput(BaseModel): - airline: str = Field(description="Airline unique 2 letter identifier") - flight_number: str = Field(description="1 to 4 digit number") - departure_airport: str = Field( - description="Departure airport 3-letter code", - ) - departure_time: datetime = Field(description="Flight departure datetime") - arrival_airport: Optional[str] = Field(description="Arrival airport 3-letter code") - arrival_time: Optional[datetime] = Field(description="Flight arrival datetime") - - -def generate_insert_ticket(client: aiohttp.ClientSession): - async def insert_ticket( - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: datetime, - arrival_time: datetime, - ): - return {"results": f"Booking ticket on {airline} {flight_number}"} - - return insert_ticket - - -@dataclass -class TicketInfo: - airline: str - flight_number: str - departure_airport: str - departure_time: str - arrival_airport: str - arrival_time: str - - -async def insert_ticket( - client: aiohttp.ClientSession, ticket_info: TicketInfo, user_id_token: str -): - response = await client.post( - url=f"{BASE_URL}/tickets/insert", - params={ - "airline": ticket_info.airline, - "flight_number": ticket_info.flight_number, - "departure_airport": ticket_info.departure_airport, - "arrival_airport": ticket_info.arrival_airport, - "departure_time": ticket_info.departure_time.replace("T", " "), - "arrival_time": ticket_info.arrival_time.replace("T", " "), - }, - headers=get_headers(client, user_id_token), - ) - response = await response.json() - return "Flight booking successful." - - -async def validate_ticket( - client: aiohttp.ClientSession, ticket_info: Dict[Any, Any], user_id_token: str -): - response = await client.get( - url=f"{BASE_URL}/tickets/validate", - params=filter_none_values( - { - "airline": ticket_info.get("airline"), - "flight_number": ticket_info.get("flight_number"), - "departure_airport": ticket_info.get("departure_airport"), - "departure_time": ticket_info.get("departure_time", "").replace( - "T", " " - ), - } - ), - headers=get_headers(client, user_id_token), - ) - response_json = await response.json() - response_results = response_json.get("results") - - flight_info = { - "airline": response_results.get("airline"), - "flight_number": response_results.get("flight_number"), - "departure_airport": response_results.get("departure_airport"), - "arrival_airport": response_results.get("arrival_airport"), - "departure_time": response_results.get("departure_time"), - "arrival_time": response_results.get("arrival_time"), - } - return flight_info - - -def generate_list_tickets(client: aiohttp.ClientSession): - async def list_tickets(user_id_token: str): - response = await client.get( - url=f"{BASE_URL}/tickets/list", - headers=get_headers(client, user_id_token), - ) - - response_json = await response.json() - tickets = response_json.get("results") - if len(tickets) == 0: - return { - "results": "There are no upcoming tickets", - "sql": response_json.get("sql"), - } - else: - return response_json - - return list_tickets - - -# Tools for agent -async def initialize_tools(client: aiohttp.ClientSession): - return [ - StructuredTool.from_function( - coroutine=generate_search_airports(client), - name="Search Airport", - description=""" - Use this tool to list all airports matching search criteria. - Takes at least one of country, city, name, or all and returns all matching airports. - The agent can decide to return the results directly to the user. - Input of this tool must be in JSON format and include all three inputs - country, city, name. - Example: - {{ - "country": "United States", - "city": "San Francisco", - "name": null - }} - Example: - {{ - "country": null, - "city": "Goroka", - "name": "Goroka" - }} - Example: - {{ - "country": "Mexico", - "city": null, - "name": null - }} - """, - args_schema=AirportSearchInput, - ), - StructuredTool.from_function( - coroutine=generate_search_flights_by_number(client), - name="Search Flights By Flight Number", - description=""" - Use this tool to get information for a specific flight. - Takes an airline code and flight number and returns info on the flight. - Do NOT use this tool with a flight id. Do NOT guess an airline code or flight number. - A airline code is a code for an airline service consisting of two-character - airline designator and followed by flight number, which is 1 to 4 digit number. - For example, if given CY 0123, the airline is "CY", and flight_number is "123". - Another example for this is DL 1234, the airline is "DL", and flight_number is "1234". - If the tool returns more than one option choose the date closes to today. - Example: - {{ - "airline": "CY", - "flight_number": "888", - }} - Example: - {{ - "airline": "DL", - "flight_number": "1234", - }} - """, - args_schema=FlightNumberInput, - ), - StructuredTool.from_function( - coroutine=generate_list_flights(client), - name="List Flights", - description=""" - Use this tool to list flights information matching search criteria. - Takes an arrival airport, a departure airport, or both, filters by date and returns all matching flights. - If 3-letter iata code is not provided for departure_airport or arrival_airport, use search airport tools to get iata code information. - Do NOT guess a date, ask user for date input if it is not given. Date must be in the following format: YYYY-MM-DD. - The agent can decide to return the results directly to the user. - Input of this tool must be in JSON format and include all three inputs - arrival_airport, departure_airport, and date. - Example: - {{ - "departure_airport": "SFO", - "arrival_airport": null, - "date": 2025-10-30" - }} - Example: - {{ - "departure_airport": "SFO", - "arrival_airport": "SEA", - "date": "2025-11-01" - }} - Example: - {{ - "departure_airport": null, - "arrival_airport": "SFO", - "date": "2025-01-01" - }} - """, - args_schema=ListFlightsInput, - ), - StructuredTool.from_function( - coroutine=generate_search_amenities(client), - name="Search Amenities", - description=""" - Use this tool to search amenities by name or to recommended airport amenities at SFO. - If user provides flight info, use 'Search Flights by Flight Number' - first to get gate info and location. - Only recommend amenities that are returned by this query. - Find amenities close to the user by matching the terminal and then comparing - the gate numbers. Gate number iterate by letter and number, example A1 A2 A3 - B1 B2 B3 C1 C2 C3. Gate A3 is close to A2 and B1. - Input of this tool must be in JSON format and include one `query` input. - """, - args_schema=QueryInput, - ), - StructuredTool.from_function( - coroutine=generate_search_policies(client), - name="Search Policies", - description=""" - Use this tool to search for cymbal air passenger policy. - Policy that are listed is unchangeable. - You will not answer any questions outside of the policy given. - Policy includes information on ticket purchase and changes, baggage, check-in and boarding, special assistance, overbooking, flight delays and cancellations. - Input of this tool must be in JSON format and include one `query` input. - """, - args_schema=QueryInput, - ), - StructuredTool.from_function( - coroutine=generate_insert_ticket(client), - name="Insert Ticket", - description=""" - Use this tool to book a flight ticket for the user. - Example: - {{ - "airline": "AA", - "flight_number": "452", - "departure_airport": "LAX", - "arrival_airport": "SFO", - "departure_time": "2025-01-01 05:50:00", - "arrival_time": "2025-01-01 09:23:00" - }} - Example: - {{ - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "arrival_airport": "DEN", - "departure_time": "2025-01-08 05:50:00", - "arrival_time": "2025-01-08 09:23:00" - }} - Example: - {{ - "airline": "OO", - "flight_number": "6307", - "departure_airport": "SFO", - "arrival_airport": "MSP", - "departure_time": "2025-10-28 20:13:00", - "arrival_time": "2025-10-28 21:07:00" - }} - """, - args_schema=TicketInput, - ), - StructuredTool.from_function( - coroutine=generate_list_tickets(client), - name="List Tickets", - description=""" - Use this tool to list a user's flight tickets. - Takes no input and returns a list of current user's flight tickets. - Input is always empty JSON blob. Example: {{}} - """, - ), - ] - - -def get_confirmation_needing_tools(): - return ["Insert Ticket"] diff --git a/llm_demo/orchestrator/orchestrator.py b/llm_demo/orchestrator/orchestrator.py deleted file mode 100644 index 084570b5d..000000000 --- a/llm_demo/orchestrator/orchestrator.py +++ /dev/null @@ -1,93 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from abc import ABC, abstractmethod -from typing import Any, Optional - - -class classproperty: - def __init__(self, func): - self.fget = func - - def __get__(self, instance, owner): - return self.fget(owner) - - -class BaseOrchestrator(ABC): - MODEL = "gemini-2.0-flash-001" - - @classproperty - @abstractmethod - def kind(cls): - pass - - @abstractmethod - def user_session_exist(self, uuid: str) -> bool: - """Check if user session exist.""" - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def user_session_create(self, session: dict[str, Any]): - """Create user session for orchestrator.""" - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def user_session_invoke(self, uuid: str, prompt: str) -> dict[str, Any]: - """Invoke user session and return a response from llm orchestrator.""" - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - def user_session_reset(self, session: dict[str, Any], uuid: str): - """Reset and clear history from user session.""" - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - def get_user_session(self, uuid: str) -> Any: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def user_session_insert_ticket(self, uuid: str, params: str) -> Any: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def user_session_decline_ticket(self, uuid: str) -> Optional[dict[str, Any]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def user_session_signout(self, uuid: str): - """Sign out from user session. Clear and restart session.""" - raise NotImplementedError("Subclass should implement this!") - - def set_user_session_header(self, uuid: str, user_id_token: str): - user_session = self.get_user_session(uuid) - user_session.client.headers["User-Id-Token"] = f"Bearer {user_id_token}" - - def get_user_id_token(self, uuid: str) -> Optional[str]: - if self.user_session_exist(uuid): - user_session = self.get_user_session(uuid) - if user_session.client and "User-Id-Token" in user_session.client.headers: - token = user_session.client.headers["User-Id-Token"] - parts = str(token).split(" ") - if len(parts) != 2 or parts[0] != "Bearer": - raise Exception("Invalid ID token") - return parts[1] - return None - - -def createOrchestrator(orchestration_type: str) -> "BaseOrchestrator": - for cls in BaseOrchestrator.__subclasses__(): - s = f"{orchestration_type} == {cls.kind}" - if orchestration_type == cls.kind: - return cls() # type: ignore - raise TypeError(f"No orchestration type of kind {orchestration_type}") diff --git a/llm_demo/orchestrator/vertexai_function_calling/__init__.py b/llm_demo/orchestrator/vertexai_function_calling/__init__.py deleted file mode 100644 index 5b743df4c..000000000 --- a/llm_demo/orchestrator/vertexai_function_calling/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from .function_calling_orchestrator import FunctionCallingOrchestrator - -__ALL__ = ["FunctionCallingOrchestrator"] diff --git a/llm_demo/orchestrator/vertexai_function_calling/function_calling_orchestrator.py b/llm_demo/orchestrator/vertexai_function_calling/function_calling_orchestrator.py deleted file mode 100644 index 1c17427c1..000000000 --- a/llm_demo/orchestrator/vertexai_function_calling/function_calling_orchestrator.py +++ /dev/null @@ -1,283 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -import os -import uuid -from datetime import datetime -from typing import Any, Dict, List, Optional - -from aiohttp import ClientSession, TCPConnector -from fastapi import HTTPException -from google.protobuf.json_format import MessageToDict # type: ignore -from pytz import timezone -from vertexai.preview.generative_models import ( # type: ignore - Content, - GenerationConfig, - GenerativeModel, - Part, -) - -from ..orchestrator import BaseOrchestrator, classproperty -from .functions import ( - BASE_URL, - assistant_tool, - function_request, - get_confirmation_needing_tools, - get_headers, - insert_ticket, -) - -DEBUG = os.getenv("DEBUG", default=False) -BASE_HISTORY = { - "type": "ai", - "data": {"content": "Welcome to Cymbal Air! How may I assist you?"}, -} - - -class UserModel: - client: ClientSession - model: GenerativeModel - history: List[Content] - - def __init__(self, client: ClientSession, model: GenerativeModel): - self.client = client - self.model = model - self.history = [] - - @classmethod - def initialize_model(cls, client: ClientSession, model: str) -> "UserModel": - model = GenerativeModel(model, tools=[assistant_tool()]) - return UserModel(client, model) - - async def close(self): - await self.client.close() - - async def invoke(self, input_prompt: str) -> Dict[str, Any]: - prompt = self.get_prompt() - user_prompt_content = Content( - role="user", - parts=[ - Part.from_text(prompt + input_prompt), - ], - ) - self.history.append(user_prompt_content) - model_response = await self.request_model(user_prompt_content) - self.debug_log(f"Prompt:\n{prompt}\n\nQuestion: {input_prompt}.") - self.debug_log(f"\nFunction call response:\n{model_response}") - response_function_call_content = model_response.candidates[0].content - part_response = response_function_call_content.parts[0] - confirmation = None - - # implement multi turn chat with while loop - while "function_call" in part_response._raw_part: - self.history.append(response_function_call_content) - function_call = MessageToDict(part_response.function_call._pb) - function_name = function_call.get("name") - if function_name in get_confirmation_needing_tools(): - function_response = self.confirmation_response( - function_name, function_call.get("args") - ) - confirmation = { - "tool": function_name, - "params": function_call.get("args"), - } - else: - function_response = await self.request_function(function_call) - self.debug_log(f"Function response:\n{function_response}") - part = Part.from_function_response( - name=function_call["name"], - response={ - "content": function_response, - }, - ) - content = Content( - parts=[part], - ) - self.history.append(content) - model_response = await self.request_model(self.history) - response_function_call_content = model_response.candidates[0].content - part_response = response_function_call_content.parts[0] - - if "text" in part_response._raw_part: - model_text = part_response.text - model_content = Content( - role="model", - parts=[ - Part.from_text(model_text), - ], - ) - self.history.append(model_content) - self.debug_log(f"Output content: {model_text}") - return {"output": model_text, "confirmation": confirmation} - else: - raise HTTPException( - status_code=500, detail="Error: Chat model response unknown" - ) - - def get_prompt(self) -> str: - formatter = "%A, %m/%d/%Y, %H:%M:%S" - now = datetime.now(timezone("US/Pacific")).strftime("%A, %m/%d/%Y, %H:%M:%S") - prompt = f"{PREFIX}\nToday's date and current time is {now}." - return prompt - - def debug_log(self, output: str) -> None: - if DEBUG: - print(output) - - async def request_model(self, contents: List[Content]): - try: - model_response = await self.model.generate_content_async( - contents, - generation_config=GenerationConfig(temperature=0), - ) - except Exception as err: - raise HTTPException(status_code=500, detail=f"Error invoking agent: {err}") - return model_response - - def confirmation_response(self, function_name, function_params): - if function_name == "insert_ticket": - return f"Booking ticket on {function_params.get('airline')} {function_params.get('flight_number')}" - return "" - - async def request_function(self, function_call): - url = function_request(function_call["name"]) - params = function_call["args"] - self.debug_log(f"Function url is {url}.\nParams is {params}.") - response = await self.client.get( - url=f"{BASE_URL}/{url}", - params=params, - headers=get_headers(self.client), - ) - response_json = await response.json() - response_results = response_json.get("results") - return response_results - - async def insert_ticket(self, params: str): - return await insert_ticket(self.client, params) - - def reset_memory(self, model: str): - """reinitiate chat model to reset memory.""" - del self.history - self.history = [] - - -class FunctionCallingOrchestrator(BaseOrchestrator): - _user_sessions: Dict[str, UserModel] - # aiohttp context - connector = None - - def __init__(self): - self._user_sessions = {} - - @classproperty - def kind(cls): - return "vertexai-function-calling" - - def user_session_exist(self, uuid: str) -> bool: - return uuid in self._user_sessions - - async def user_session_insert_ticket(self, uuid: str, params: str) -> Any: - user_session = self.get_user_session(uuid) - response = await user_session.insert_ticket(params) - return response - - async def user_session_decline_ticket(self, uuid: str) -> Optional[dict[str, Any]]: - """ - Used if there's a process to be done after user decline ticket. - Return None is nothing is needed to be done. - """ - return None - - async def user_session_create(self, session: dict[str, Any]): - """Create and load an agent executor with tools and LLM.""" - print("Initializing agent..") - if "uuid" not in session: - session["uuid"] = str(uuid.uuid4()) - id = session["uuid"] - if "history" not in session: - session["history"] = [BASE_HISTORY] - client = await self.create_client_session() - model = UserModel.initialize_model(client, self.MODEL) - self._user_sessions[id] = model - self.client = client - - async def user_session_invoke(self, uuid: str, prompt: str) -> dict[str, Any]: - user_session = self.get_user_session(uuid) - # Send prompt to LLM - response = await user_session.invoke(prompt) - return response - - def user_session_reset(self, session: dict[str, Any], uuid: str): - user_session = self.get_user_session(uuid) - del session["history"] - base_history = self.get_base_history(session) - session["history"] = [base_history] - user_session.reset_memory(self.MODEL) - - def get_user_session(self, uuid: str) -> UserModel: - return self._user_sessions[uuid] - - async def get_connector(self) -> TCPConnector: - if self.connector is None: - self.connector = TCPConnector(limit=100) - return self.connector - - async def create_client_session(self) -> ClientSession: - return ClientSession( - connector=await self.get_connector(), - connector_owner=False, - headers={}, - raise_for_status=True, - ) - - def get_base_history(self, session: dict[str, Any]): - if "user_info" in session: - base_history = { - "type": "ai", - "data": { - "content": f"Welcome to Cymbal Air, {session['user_info']['name']}! How may I assist you?" - }, - } - return base_history - return BASE_HISTORY - - async def user_session_signout(self, uuid: str): - user_session = self.get_user_session(uuid) - if user_session: - await user_session.close() - del self._user_sessions[uuid] - - async def close_clients(self): - close_client_tasks = [ - asyncio.create_task(a.close()) for a in self._user_sessions.values() - ] - await asyncio.gather(*close_client_tasks) - - -PREFIX = """The Cymbal Air Customer Service Assistant helps customers of Cymbal Air with their travel needs. - -Cymbal Air (airline unique two letter identifier as CY) is a passenger airline offering convenient flights to many cities around the world from its -hub in San Francisco. Cymbal Air takes pride in using the latest technology to offer the best customer -service! - -Cymbal Air Customer Service Assistant (or just "Assistant" for short) is designed to assist -with a wide range of tasks, from answering simple questions to complex multi-query questions that -require passing results from one query to another. Using the latest AI models, Assistant is able to -generate human-like text based on the input it receives, allowing it to engage in natural-sounding -conversations and provide responses that are coherent and relevant to the topic at hand. - -Assistant is a powerful tool that can help answer a wide range of questions pertaining to travel on Cymbal Air -as well as ammenities of San Francisco Airport. -""" diff --git a/llm_demo/orchestrator/vertexai_function_calling/functions.py b/llm_demo/orchestrator/vertexai_function_calling/functions.py deleted file mode 100644 index ae11d50a0..000000000 --- a/llm_demo/orchestrator/vertexai_function_calling/functions.py +++ /dev/null @@ -1,264 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import json -import os - -import aiohttp -from vertexai.preview import generative_models # type: ignore - -BASE_URL = os.getenv("BASE_URL", default="http://127.0.0.1:8080") -CREDENTIALS = None - -search_airports_func = generative_models.FunctionDeclaration( - name="airports_search", - description=""" - Use this tool to list all airports matching search criteria. - Takes at least one of country, city, name, or all and returns all matching airports. - This function could also be used to serach for airport information such as iata code. - """, - parameters={ - "type": "object", - "properties": { - "country": {"type": "string", "description": "country"}, - "city": {"type": "string", "description": "city"}, - "name": { - "type": "string", - "description": "Full or partial name of an airport", - }, - }, - }, -) - -search_amenities_func = generative_models.FunctionDeclaration( - name="amenities_search", - description=""" - Use this tool to search amenities by name or to recommended airport amenities at SFO. - If user provides flight info, use 'search_flights_by_number' - first to get gate info and location. - Only recommend amenities that are returned by this query. - Find amenities close to the user by matching the terminal and then comparing - the gate numbers. Gate number iterate by letter and number, example A1 A2 A3 - B1 B2 B3 C1 C2 C3. Gate A3 is close to A2 and B1. - top_k value is defaulted to 5. - """, - parameters={ - "type": "object", - "properties": { - "query": {"type": "string", "description": "Search query"}, - "top_k": { - "type": "integer", - "description": "Number of matching amenities to return. Default this value to 5.", - }, - }, - "required": ["query", "top_k"], - }, -) - -search_policies_func = generative_models.FunctionDeclaration( - name="policies_search", - description="Use this tool to search for cymbal air passenger policy. Policy that are listed is unchangeable. You will not answer any questions outside of the policy given. Policy includes information on ticket purchase and changes, baggage, check-in and boarding, special assistance, overbooking, flight delays and cancellations. If top_k is not specified, default to 5.", - parameters={ - "type": "object", - "properties": { - "query": {"type": "string", "description": "Search query"}, - "top_k": { - "type": "integer", - "description": "Number of matching policy to return. Default this value to 5.", - }, - }, - }, -) - -search_flights_by_number_func = generative_models.FunctionDeclaration( - name="search_flights_by_number", - description=""" - Use this tool to get info for a specific flight. Do NOT use this tool with a flight id. - Takes an airline and flight number and returns info on the flight. - Do NOT guess an airline or flight number. - A flight number is a code for an airline service consisting of two-character - airline designator and a 1 to 4 digit number ex. OO123, DL 1234, BA 405, AS 3452. - If the tool returns more than one option choose the date closes to today. - """, - parameters={ - "type": "object", - "properties": { - "airline": { - "type": "string", - "description": "A code for an airline service consisting of two-character airline designator.", - }, - "flight_number": { - "type": "string", - "description": "A 1 to 4 digit number of the flight.", - }, - }, - "required": ["airline", "flight_number"], - }, -) - -list_flights_func = generative_models.FunctionDeclaration( - name="list_flights", - description=""" - Use this tool to list all flights matching search criteria. - Takes an arrival airport, a departure airport, or both, filters by date and returns all matching flights. - Date must be provided, prompt user if it is not given. - The format of date must be YYYY-MM-DD. Convert terms like 'today' or 'yesterday' to a valid date format. - If iata code is not provided for departure_airport or arrival_airport, use airports_search function to get iata code. - """, - parameters={ - "type": "object", - "properties": { - "departure_airport": { - "type": "string", - "description": "The iata code for flight departure airport. Example: 'SFO', 'DEN'.", - }, - "arrival_airport": { - "type": "string", - "description": "The iata code for flight arrival airport. Example: 'SFO', 'DEN'.", - }, - "date": { - "type": "string", - "description": "The date of flight must be in the following format: YYYY-MM-DD.", - }, - }, - "required": ["date"], - }, -) - -insert_ticket_func = generative_models.FunctionDeclaration( - name="insert_ticket", - description="Use this tool to book a flight ticket for the user.", - parameters={ - "type": "object", - "properties": { - "airline": { - "type": "string", - "description": "A code for an airline service consisting of two-character airline designator.", - }, - "flight_number": { - "type": "string", - "description": "A 1 to 4 digit number of the flight.", - }, - "departure_airport": { - "type": "string", - "description": "The iata code for flight departure airport.", - }, - "arrival_airport": { - "type": "string", - "description": "The iata code for flight arrival airport.", - }, - "departure_time": { - "type": "string", - "description": "The departure time for flight.", - }, - "arrival_time": { - "type": "string", - "description": "The arrival time for flight.", - }, - }, - "required": [ - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - ], - }, -) - -list_tickets_func = generative_models.FunctionDeclaration( - name="list_tickets", - description="Use this tool to list a user's flight tickets. This tool takes no input parameters and returns a list of current user's flight tickets.", - parameters={ - "type": "object", - }, -) - - -async def insert_ticket(client: aiohttp.ClientSession, params: str): - ticket_info = json.loads(params) - response = await client.post( - url=f"{BASE_URL}/tickets/insert", - params={ - "airline": ticket_info.get("airline"), - "flight_number": ticket_info.get("flight_number"), - "departure_airport": ticket_info.get("departure_airport"), - "arrival_airport": ticket_info.get("arrival_airport"), - "departure_time": ticket_info.get("departure_time").replace("T", " "), - "arrival_time": ticket_info.get("arrival_time").replace("T", " "), - }, - headers=get_headers(client), - ) - response = await response.json() - return response - - -def get_id_token(): - global CREDENTIALS - if CREDENTIALS is None: - CREDENTIALS, _ = google.auth.default() - if not hasattr(CREDENTIALS, "id_token"): - # Use Compute Engine default credential - CREDENTIALS = compute_engine.IDTokenCredentials( - request=Request(), - target_audience=BASE_URL, - use_metadata_identity_endpoint=True, - ) - if not CREDENTIALS.valid: - CREDENTIALS.refresh(Request()) - if hasattr(CREDENTIALS, "id_token"): - return CREDENTIALS.id_token - else: - return CREDENTIALS.token - - -def get_headers(client: aiohttp.ClientSession): - """Helper method to generate ID tokens for authenticated requests""" - headers = client.headers - if not "http://" in BASE_URL: - # Append ID Token to make authenticated requests to Cloud Run services - headers["Authorization"] = f"Bearer {get_id_token()}" - return headers - - -def function_request(function_call_name: str) -> str: - functions_url = { - "airports_search": "airports/search", - "search_flights_by_number": "flights/search", - "list_flights": "flights/search", - "amenities_search": "amenities/search", - "policies_search": "policies/search", - "insert_ticket": "tickets/insert", - "list_tickets": "tickets/list", - } - return functions_url[function_call_name] - - -def assistant_tool(): - return generative_models.Tool( - function_declarations=[ - search_airports_func, - search_amenities_func, - search_policies_func, - search_flights_by_number_func, - list_flights_func, - insert_ticket_func, - list_tickets_func, - ], - ) - - -def get_confirmation_needing_tools(): - return ["insert_ticket"] diff --git a/llm_demo/run_evaluation.py b/llm_demo/run_evaluation.py deleted file mode 100644 index ddde259d7..000000000 --- a/llm_demo/run_evaluation.py +++ /dev/null @@ -1,91 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -import os -import uuid - -import pandas as pd -from google.auth.transport.requests import Request -from google.oauth2.id_token import fetch_id_token - -from evaluation import ( - evaluate_response_phase, - evaluate_retrieval_phase, - goldens, - run_llm_for_eval, -) -from orchestrator import createOrchestrator - - -def export_metrics_table_csv(retrieval: pd.DataFrame, response: pd.DataFrame): - """ - Export detailed metrics table to csv file - """ - retrieval.to_csv("retrieval_eval.csv") - response.to_csv("response_eval.csv") - - -def fetch_user_id_token(client_id: str): - request = Request() - user_id_token = fetch_id_token(request, client_id) - return user_id_token - - -async def main(): - # allow user to set USER_ID_TOKEN directly on env var - USER_ID_TOKEN = os.getenv("USER_ID_TOKEN", default=None) - - CLIENT_ID = os.getenv("CLIENT_ID", default="") - ORCHESTRATION_TYPE = os.getenv("ORCHESTRATION_TYPE", default="langchain-tools") - EXPORT_CSV = bool(os.getenv("EXPORT_CSV", default=False)) - RETRIEVAL_EXPERIMENT_NAME = os.getenv( - "RETRIEVAL_EXPERIMENT_NAME", default="retrieval-phase-eval" - ) - RESPONSE_EXPERIMENT_NAME = os.getenv( - "RESPONSE_EXPERIMENT_NAME", default="response-phase-eval" - ) - - # Prepare orchestrator and session - orc = createOrchestrator(ORCHESTRATION_TYPE) - session_id = str(uuid.uuid4()) - session = {"uuid": session_id} - await orc.user_session_create(session) - - # Retrieve and set user id token for auth - if USER_ID_TOKEN: - user_id_token = USER_ID_TOKEN - else: - user_id_token = fetch_user_id_token(CLIENT_ID) - orc.set_user_session_header(session_id, user_id_token) - - # Run evaluation - eval_lists = await run_llm_for_eval(goldens, orc, session, session_id) - retrieval_eval_results = evaluate_retrieval_phase( - eval_lists, RETRIEVAL_EXPERIMENT_NAME - ) - response_eval_results = evaluate_response_phase( - eval_lists, RESPONSE_EXPERIMENT_NAME - ) - print(f"Retrieval phase eval results: {retrieval_eval_results.summary_metrics}") - print(f"Response phase eval results: {response_eval_results.summary_metrics}") - - if EXPORT_CSV: - export_metrics_table_csv( - retrieval_eval_results.metrics_table, response_eval_results.metrics_table - ) - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/llm_demo/vertexai_function_calling.int.tests.cloudbuild.yaml b/llm_demo/vertexai_function_calling.int.tests.cloudbuild.yaml deleted file mode 100644 index 68ad009f1..000000000 --- a/llm_demo/vertexai_function_calling.int.tests.cloudbuild.yaml +++ /dev/null @@ -1,80 +0,0 @@ -# Copyright 2023 Google LLC -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: "Deploy to Cloud Run" - name: "gcr.io/cloud-builders/gcloud:latest" - dir: llm_demo - script: | - #!/usr/bin/env bash - gcloud run deploy ${_SERVICE} \ - --source . \ - --region ${_REGION} \ - --no-allow-unauthenticated \ - --update-env-vars ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE} - - - id: "Test Frontend" - name: "gcr.io/cloud-builders/gcloud:latest" - entrypoint: /bin/bash - env: # Set env var expected by app - args: - - "-c" - - | - export URL=$(gcloud run services describe ${_SERVICE} --region ${_REGION} --format 'value(status.url)') - export ID_TOKEN=$(gcloud auth print-identity-token --audiences $$URL) - export ORCHESTRATION_TYPE=${_ORCHESTRATION_TYPE} - - # Test `/` route - curl -c cookies.txt -si --fail --show-error -H "Authorization: Bearer $$ID_TOKEN" $$URL - - # Test `/chat` route should fail - msg=$(curl -si --show-error \ - -X POST \ - -H "Authorization: Bearer $$ID_TOKEN" \ - -H 'Content-Type: application/json' \ - -d '{"prompt":"How can you help me?"}' \ - $$URL/chat) - - if grep -q "400" <<< "$msg"; then - echo "Chat Handler Test: PASSED" - else - echo "Chat Handler Test: FAILED" - echo $msg && exit 1 - fi - - # Test `/chat` route - curl -b cookies.txt -si --fail --show-error \ - -X POST \ - -H "Authorization: Bearer $$ID_TOKEN" \ - -H 'Content-Type: application/json' \ - -d '{"prompt":"How can you help me?"}' \ - $$URL/chat - - - id: "Delete image and service" - name: "gcr.io/cloud-builders/gcloud" - script: | - #!/usr/bin/env bash - gcloud artifacts docker images delete $_GCR_HOSTNAME/$PROJECT_ID/cloud-run-source-deploy/$_SERVICE --quiet - gcloud run services delete ${_SERVICE} --region ${_REGION} --quiet - -serviceAccount: "projects/$PROJECT_ID/serviceAccounts/548341735270-compute@developer.gserviceaccount.com" # Necessary for ID token creation -options: - automapSubstitutions: true - logging: CLOUD_LOGGING_ONLY # Necessary for custom service account - dynamic_substitutions: true - -substitutions: - _GCR_HOSTNAME: ${_REGION}-docker.pkg.dev - _SERVICE: demo-service-${BUILD_ID} - _REGION: us-central1 - _ORCHESTRATION_TYPE: vertexai-function-calling diff --git a/retrieval_service/models/__init__.py b/models/__init__.py similarity index 100% rename from retrieval_service/models/__init__.py rename to models/__init__.py diff --git a/retrieval_service/models/models.py b/models/models.py similarity index 100% rename from retrieval_service/models/models.py rename to models/models.py diff --git a/llm_demo/pyproject.toml b/pyproject.toml similarity index 100% rename from llm_demo/pyproject.toml rename to pyproject.toml diff --git a/llm_demo/requirements-test.txt b/requirements-test.txt similarity index 100% rename from llm_demo/requirements-test.txt rename to requirements-test.txt diff --git a/llm_demo/requirements.txt b/requirements.txt similarity index 50% rename from llm_demo/requirements.txt rename to requirements.txt index abbef7a8c..769d62f94 100644 --- a/llm_demo/requirements.txt +++ b/requirements.txt @@ -1,19 +1,20 @@ fastapi==0.115.0 -google-auth==2.35.0 -google-cloud-aiplatform[evaluation]==1.72.0 +google-auth==2.40.3 +google-cloud-aiplatform[evaluation]==1.97.0 itsdangerous==2.2.0 jinja2==3.1.5 -langchain-community==0.3.2 -langchain==0.3.7 -langchain-google-vertexai==2.0.7 +langchain-community==0.3.25 +langchain==0.3.25 +langchain-core==0.3.67 +langchain-google-vertexai==2.0.28 markdown==3.7 types-Markdown==3.7.0.20240822 uvicorn[standard]==0.31.0 python-multipart==0.0.18 pytz==2025.1 types-pytz==2025.1.0.20250204 -langgraph==0.2.48 -httpx==0.27.2 +langgraph==0.4.8 pandas-stubs==2.2.2.240807 pandas==2.2.3 -pydantic==2.9.0 \ No newline at end of file +pydantic==2.9.0 +toolbox-langchain==0.4.0 \ No newline at end of file diff --git a/retrieval_service/Dockerfile b/retrieval_service/Dockerfile deleted file mode 100644 index bc3068d6d..000000000 --- a/retrieval_service/Dockerfile +++ /dev/null @@ -1,32 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# Use the official lightweight Python image. -# https://hub.docker.com/_/python -FROM python:3.11-slim - -# Allow statements and log messages to immediately appear in the logs -ENV PYTHONUNBUFFERED True - -WORKDIR /app - -# Install production dependencies. -COPY ./requirements.txt requirements.txt -RUN pip install --no-cache-dir -r requirements.txt - -# Copy local code to the container image. -COPY . ./ - -# Run the web service on container startup. -CMD ["python", "run_app.py"] diff --git a/retrieval_service/alloydb.tests.cloudbuild.yaml b/retrieval_service/alloydb.tests.cloudbuild.yaml deleted file mode 100644 index 69141ce48..000000000 --- a/retrieval_service/alloydb.tests.cloudbuild.yaml +++ /dev/null @@ -1,72 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: Update config - name: python:3.11 - dir: retrieval_service - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - # Create config - cp example-config-alloydb.yml config.yml - sed -i "s/my_database/${_DATABASE_NAME}/g" config.yml - sed -i "s/my-user/$$DB_USER/g" config.yml - sed -i "s/my-password/$$DB_PASS/g" config.yml - sed -i "s/my-project/$PROJECT_ID/g" config.yml - sed -i "s/my-region/${_ALLOYDB_REGION}/g" config.yml - sed -i "s/my-cluster/${_ALLOYDB_CLUSTER}/g" config.yml - sed -i "s/my-instance/${_ALLOYDB_INSTANCE}/g" config.yml - - - id: Run Alloy DB integration tests - name: python:3.11 - dir: retrieval_service - env: # Set env var expected by tests - - "DB_NAME=${_DATABASE_NAME}" - - "DB_PROJECT=$PROJECT_ID" - - "DB_REGION=${_ALLOYDB_REGION}" - - "DB_CLUSTER=${_ALLOYDB_CLUSTER}" - - "DB_INSTANCE=${_ALLOYDB_INSTANCE}" - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - python -m pytest --cov=datastore.providers.alloydb --cov-config=coverage/.alloydb-coveragerc datastore/providers/alloydb_test.py - -substitutions: - _DATABASE_NAME: test_${SHORT_SHA} - _DATABASE_USER: postgres - _ALLOYDB_REGION: "us-central1" - _ALLOYDB_CLUSTER: "my-alloydb-cluster" - _ALLOYDB_INSTANCE: "my-alloydb-instance" - -availableSecrets: - secretManager: - - versionName: projects/$PROJECT_ID/secrets/alloy_db_user/versions/latest - env: DB_USER - - versionName: projects/$PROJECT_ID/secrets/alloy_db_pass/versions/latest - env: DB_PASS - -options: - automapSubstitutions: true - substitutionOption: 'ALLOW_LOOSE' - dynamic_substitutions: true diff --git a/retrieval_service/app.tests.cloudbuild.yaml b/retrieval_service/app.tests.cloudbuild.yaml deleted file mode 100644 index 88f4c075f..000000000 --- a/retrieval_service/app.tests.cloudbuild.yaml +++ /dev/null @@ -1,26 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: Run retrieval service app tests - name: python:3.11 - dir: retrieval_service - script: | - #!/usr/bin/env bash - python -m pytest --cov=app --cov-config=coverage/.app-coveragerc app/app_test.py diff --git a/retrieval_service/app/__init__.py b/retrieval_service/app/__init__.py deleted file mode 100644 index b28c73119..000000000 --- a/retrieval_service/app/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from .app import EMBEDDING_MODEL_NAME, init_app, parse_config diff --git a/retrieval_service/app/app.py b/retrieval_service/app/app.py deleted file mode 100644 index 0220702a9..000000000 --- a/retrieval_service/app/app.py +++ /dev/null @@ -1,59 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from contextlib import asynccontextmanager -from ipaddress import IPv4Address, IPv6Address -from typing import Optional - -import yaml -from fastapi import FastAPI -from langchain_google_vertexai import VertexAIEmbeddings -from pydantic import BaseModel - -import datastore - -from .routes import routes - -EMBEDDING_MODEL_NAME = "text-embedding-005" - - -class AppConfig(BaseModel): - host: IPv4Address | IPv6Address = IPv4Address("127.0.0.1") - port: int = 8080 - datastore: datastore.Config - clientId: Optional[str] = None - - -def parse_config(path: str) -> AppConfig: - with open(path, "r") as file: - config = yaml.safe_load(file) - return AppConfig(**config) - - -# gen_init is a wrapper to initialize the datastore during app startup -def gen_init(cfg: AppConfig): - async def initialize_datastore(app: FastAPI): - app.state.datastore = await datastore.create(cfg.datastore) - app.state.embed_service = VertexAIEmbeddings(model_name=EMBEDDING_MODEL_NAME) - yield - await app.state.datastore.close() - - return asynccontextmanager(initialize_datastore) - - -def init_app(cfg: AppConfig) -> FastAPI: - app = FastAPI(lifespan=gen_init(cfg)) - app.state.client_id = cfg.clientId - app.include_router(routes) - return app diff --git a/retrieval_service/app/app_test.py b/retrieval_service/app/app_test.py deleted file mode 100644 index f15be9c46..000000000 --- a/retrieval_service/app/app_test.py +++ /dev/null @@ -1,1070 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime -from unittest.mock import AsyncMock, MagicMock, patch - -import pytest -from fastapi.testclient import TestClient -from google.oauth2 import id_token - -import datastore -import models - -from . import init_app - - -@pytest.fixture(scope="module") -def app(): - mock_cfg = MagicMock() - mock_cfg.clientId = "fake client id" - app = init_app(mock_cfg) - if app is None: - raise TypeError("app did not initialize") - return app - - -@patch.object(datastore, "create") -def test_hello_world(m_datastore, app): - m_datastore = AsyncMock() - with TestClient(app) as client: - response = client.get("/") - assert response.status_code == 200 - assert response.json() == {"message": "Hello World"} - - -get_airport_params = [ - pytest.param( - "get_airport_by_id", - { - "id": 1, - }, - models.Airport( - id=1, - iata="FOO", - name="get_airport_by_id", - city="BAR", - country="FOO BAR", - ), - { - "id": 1, - "iata": "FOO", - "name": "get_airport_by_id", - "city": "BAR", - "country": "FOO BAR", - }, - id="id_only", - ), - pytest.param( - "get_airport_by_iata", - {"iata": "sfo"}, - models.Airport( - id=1, - iata="FOO", - name="get_airport_by_iata", - city="BAR", - country="FOO BAR", - ), - { - "id": 1, - "iata": "FOO", - "name": "get_airport_by_iata", - "city": "BAR", - "country": "FOO BAR", - }, - id="iata_only", - ), -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", get_airport_params -) -@patch.object(datastore, "create") -def test_get_airport(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get( - "/airports", - params=params, - ) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert output == expected - assert models.Airport.model_validate(output) - - -@pytest.mark.parametrize( - "params", - [ - pytest.param({}, id="no_params"), - ], -) -@patch.object(datastore, "create") -def test_get_airport_with_bad_params(m_datastore, app, params): - m_datastore = AsyncMock() - with TestClient(app) as client: - response = client.get("/airports", params=params) - assert response.status_code == 422 - assert ( - response.json()["detail"] == "Request requires query params: airport id or iata" - ) - - -search_airports_params = [ - pytest.param( - "search_airports", - { - "country": "United States", - "city": "san francisco", - "name": "san francisco", - }, - [ - models.Airport( - id=1, - iata="FOO", - name="search_airports", - city="BAR", - country="FOO BAR", - ) - ], - [ - { - "id": 1, - "iata": "FOO", - "name": "search_airports", - "city": "BAR", - "country": "FOO BAR", - } - ], - id="country_city_and_name", - ), - pytest.param( - "search_airports", - {"country": "United States"}, - [ - models.Airport( - id=1, - iata="FOO", - name="search_airports", - city="BAR", - country="FOO BAR", - ) - ], - [ - { - "id": 1, - "iata": "FOO", - "name": "search_airports", - "city": "BAR", - "country": "FOO BAR", - } - ], - id="country_only", - ), - pytest.param( - "search_airports", - {"city": "san francisco"}, - [ - models.Airport( - id=1, - iata="FOO", - name="search_airports", - city="BAR", - country="FOO BAR", - ) - ], - [ - { - "id": 1, - "iata": "FOO", - "name": "search_airports", - "city": "BAR", - "country": "FOO BAR", - } - ], - id="city_only", - ), - pytest.param( - "search_airports", - {"name": "san francisco"}, - [ - models.Airport( - id=1, - iata="FOO", - name="search_airports", - city="BAR", - country="FOO BAR", - ) - ], - [ - { - "id": 1, - "iata": "FOO", - "name": "search_airports", - "city": "BAR", - "country": "FOO BAR", - } - ], - id="name_only", - ), -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", search_airports_params -) -@patch.object(datastore, "create") -def test_search_airports(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get( - "/airports/search", - params=params, - ) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert output == expected - assert models.Airport.model_validate(output[0]) - - -@pytest.mark.parametrize( - "params", - [ - pytest.param({}, id="no_params"), - ], -) -@patch.object(datastore, "create") -def test_search_airports_with_bad_params(m_datastore, app, params): - m_datastore = AsyncMock() - with TestClient(app) as client: - response = client.get("/airports/search", params=params) - assert response.status_code == 422 - - -get_amenity_params = [ - pytest.param( - "get_amenity", - {"id": 1}, - models.Amenity( - id=1, - name="get_amenity", - description="FOO", - location="BAR", - terminal="FOO BAR", - category="FEE", - hour="BAZ", - ), - { - "id": 1, - "name": "get_amenity", - "description": "FOO", - "location": "BAR", - "terminal": "FOO BAR", - "category": "FEE", - "hour": "BAZ", - "sunday_start_hour": None, - "sunday_end_hour": None, - "monday_start_hour": None, - "monday_end_hour": None, - "tuesday_start_hour": None, - "tuesday_end_hour": None, - "wednesday_start_hour": None, - "wednesday_end_hour": None, - "thursday_start_hour": None, - "thursday_end_hour": None, - "friday_start_hour": None, - "friday_end_hour": None, - "saturday_start_hour": None, - "saturday_end_hour": None, - "content": None, - "embedding": None, - }, - ) -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", get_amenity_params -) -@patch.object(datastore, "create") -def test_get_amenity(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get( - "/amenities", - params={ - "id": 1, - }, - ) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert output == expected - assert models.Amenity.model_validate(output) - - -amenities_search_params = [ - pytest.param( - "amenities_search", - { - "query": "A place to get food.", - "top_k": 2, - }, - [ - models.Amenity( - id=1, - name="amenities_search", - description="FOO", - location="BAR", - terminal="FOO BAR", - category="FEE", - hour="BAZ", - ), - models.Amenity( - id=2, - name="amenities_search", - description="FOO", - location="BAR", - terminal="FOO BAR", - category="FEE", - hour="BAZ", - ), - ], - [ - { - "id": 1, - "name": "amenities_search", - "description": "FOO", - "location": "BAR", - "terminal": "FOO BAR", - "category": "FEE", - "hour": "BAZ", - "sunday_start_hour": None, - "sunday_end_hour": None, - "monday_start_hour": None, - "monday_end_hour": None, - "tuesday_start_hour": None, - "tuesday_end_hour": None, - "wednesday_start_hour": None, - "wednesday_end_hour": None, - "thursday_start_hour": None, - "thursday_end_hour": None, - "friday_start_hour": None, - "friday_end_hour": None, - "saturday_start_hour": None, - "saturday_end_hour": None, - "content": None, - "embedding": None, - }, - { - "id": 2, - "name": "amenities_search", - "description": "FOO", - "location": "BAR", - "terminal": "FOO BAR", - "category": "FEE", - "hour": "BAZ", - "sunday_start_hour": None, - "sunday_end_hour": None, - "monday_start_hour": None, - "monday_end_hour": None, - "tuesday_start_hour": None, - "tuesday_end_hour": None, - "wednesday_start_hour": None, - "wednesday_end_hour": None, - "thursday_start_hour": None, - "thursday_end_hour": None, - "friday_start_hour": None, - "friday_end_hour": None, - "saturday_start_hour": None, - "saturday_end_hour": None, - "content": None, - "embedding": None, - }, - ], - ) -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", amenities_search_params -) -@patch.object(datastore, "create") -def test_amenities_search(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get( - "/amenities/search", - params=params, - ) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert len(output) == params["top_k"] - assert output == expected - assert models.Amenity.model_validate(output[0]) - - -get_flight_params = [ - pytest.param( - "get_flight", - {"flight_id": 1935}, - models.Flight( - id=1, - airline="get_flight", - flight_number="FOOBAR", - departure_airport="FOO", - arrival_airport="BAR", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="BAZ", - arrival_gate="QUX", - ), - { - "id": 1, - "airline": "get_flight", - "flight_number": "FOOBAR", - "departure_airport": "FOO", - "arrival_airport": "BAR", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - "departure_gate": "BAZ", - "arrival_gate": "QUX", - }, - id="successful", - ) -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", get_flight_params -) -@patch.object(datastore, "create") -def test_get_flight(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get( - "/flights", - params=params, - ) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert output == expected - assert models.Flight.model_validate(output) - - -search_flights_params = [ - pytest.param( - "search_flights_by_airports", - { - "departure_airport": "LAX", - "arrival_airport": "SFO", - "date": "2023-11-01", - }, - [ - models.Flight( - id=1, - airline="search_flights_by_airports", - flight_number="FOOBAR", - departure_airport="FOO", - arrival_airport="BAR", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="BAZ", - arrival_gate="QUX", - ) - ], - [ - { - "id": 1, - "airline": "search_flights_by_airports", - "flight_number": "FOOBAR", - "departure_airport": "FOO", - "arrival_airport": "BAR", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - "departure_gate": "BAZ", - "arrival_gate": "QUX", - } - ], - id="departure_and_arrival_airport", - ), - pytest.param( - "search_flights_by_airports", - {"arrival_airport": "SFO", "date": "2023-11-01"}, - [ - models.Flight( - id=1, - airline="search_flights_by_airports", - flight_number="FOOBAR", - departure_airport="FOO", - arrival_airport="BAR", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="BAZ", - arrival_gate="QUX", - ) - ], - [ - { - "id": 1, - "airline": "search_flights_by_airports", - "flight_number": "FOOBAR", - "departure_airport": "FOO", - "arrival_airport": "BAR", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - "departure_gate": "BAZ", - "arrival_gate": "QUX", - } - ], - id="arrival_airport_only", - ), - pytest.param( - "search_flights_by_airports", - {"departure_airport": "EWR", "date": "2023-11-01"}, - [ - models.Flight( - id=1, - airline="search_flights_by_airports", - flight_number="FOOBAR", - departure_airport="FOO", - arrival_airport="BAR", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="BAZ", - arrival_gate="QUX", - ) - ], - [ - { - "id": 1, - "airline": "search_flights_by_airports", - "flight_number": "FOOBAR", - "departure_airport": "FOO", - "arrival_airport": "BAR", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - "departure_gate": "BAZ", - "arrival_gate": "QUX", - } - ], - id="departure_airport_only", - ), - pytest.param( - "search_flights_by_number", - {"airline": "DL", "flight_number": "1106"}, - [ - models.Flight( - id=1, - airline="search_flights_by_number", - flight_number="FOOBAR", - departure_airport="FOO", - arrival_airport="BAR", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="BAZ", - arrival_gate="QUX", - ) - ], - [ - { - "id": 1, - "airline": "search_flights_by_number", - "flight_number": "FOOBAR", - "departure_airport": "FOO", - "arrival_airport": "BAR", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - "departure_gate": "BAZ", - "arrival_gate": "QUX", - } - ], - id="airline_and_flight_number", - ), -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", search_flights_params -) -@patch.object(datastore, "create") -def test_search_flights(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get("/flights/search", params=params) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert output == expected - assert models.Flight.model_validate(output[0]) - - -search_flights_bad_params = [ - pytest.param( - { - "departure_airport": "LAX", - "arrival_airport": "SFO", - }, - id="departure_and_arrival_airport", - ), - pytest.param( - {"arrival_airport": "SFO"}, - id="arrival_airport_only", - ), - pytest.param( - {"departure_airport": "EWR"}, - id="departure_airport_only", - ), - pytest.param( - {"flight_number": "1106"}, - id="flight_number_only", - ), - pytest.param( - {"airline": "DL"}, - id="airline_only", - ), -] - - -@pytest.mark.parametrize("params", search_flights_bad_params) -@patch.object(datastore, "create") -def test_search_flights_with_bad_params(m_datastore, app, params): - m_datastore = AsyncMock() - with TestClient(app) as client: - response = client.get("/flights/search", params=params) - assert response.status_code == 422 - - -validate_ticket_params = [ - pytest.param( - "validate_ticket", - { - "airline": "CY", - "flight_number": "888", - "departure_airport": "LAX", - "departure_time": "2023-01-01T05:57:00", - }, - [ - models.Flight( - id=1, - airline="validate_ticket", - flight_number="FOOBAR", - departure_airport="FOO", - arrival_airport="BAR", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="BAZ", - arrival_gate="QUX", - ) - ], - [ - { - "id": 1, - "airline": "validate_ticket", - "flight_number": "FOOBAR", - "departure_airport": "FOO", - "arrival_airport": "BAR", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - "departure_gate": "BAZ", - "arrival_gate": "QUX", - } - ], - id="validate_ticket", - ), -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", validate_ticket_params -) -@patch.object(datastore, "create") -def test_validate_ticket(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get("/tickets/validate", params=params) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert output == expected - assert models.Flight.model_validate(output[0]) - - -policies_search_params = [ - pytest.param( - "policies_search", - { - "query": "Additional fee for flight changes.", - "top_k": 1, - }, - [ - models.Policy( - id=1, - content="foo bar", - ), - ], - [ - { - "id": 1, - "content": "foo bar", - "embedding": None, - }, - ], - ) -] - - -@pytest.mark.parametrize( - "method_name, params, mock_return, expected", policies_search_params -) -@patch.object(datastore, "create") -def test_policies_search(m_datastore, app, method_name, params, mock_return, expected): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - response = client.get( - "/policies/search", - params=params, - ) - assert response.status_code == 200 - res = response.json() - output = res["results"] - assert len(output) == params["top_k"] - assert output == expected - assert models.Policy.model_validate(output[0]) - - -@patch.object(datastore, "create") -def test_insert_ticket_missing_user_info(m_datastore, app): - m_datastore = AsyncMock() - with TestClient(app) as client: - response = client.post( - "/tickets/insert", - headers={"User-Id-Token": "Bearer invalid_token"}, - params={ - "airline": "CY", - "flight_number": "888", - "departure_airport": "LAX", - "arrival_airport": "JFK", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - }, - ) - assert response.status_code == 401 - assert response.json()["detail"] == "User login required for data insertion" - - -insert_ticket_params = [ - pytest.param( - "insert_ticket", - "valid_token", - { - "sub": 123, - "name": "test_user_name", - "email": "test_user_email", - }, - { - "airline": "CY", - "flight_number": "888", - "departure_airport": "LAX", - "arrival_airport": "JFK", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - }, - [ - models.Ticket( - user_id=123, - user_name="test_user_name", - user_email="test_user_email", - airline="CY", - flight_number="888", - departure_airport="LAX", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - ), - ], - 200, - [ - { - "user_id": 123, - "user_name": "test_user_name", - "user_email": "test_user_email", - "airline": "CY", - "flight_number": "888", - "departure_airport": "LAX", - "arrival_airport": "JFK", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - } - ], - ), - pytest.param( - "insert_ticket", - "invalid_token", - None, - { - "airline": "CY", - "flight_number": "888", - "departure_airport": "LAX", - "arrival_airport": "JFK", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - }, - [ - models.Ticket( - user_id=123, - user_name="test_user_name", - user_email="test_user_email", - airline="CY", - flight_number="888", - departure_airport="LAX", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - ), - ], - 401, - {"detail": "User login required for data insertion"}, - ), -] - - -@pytest.mark.parametrize( - "method_name, mock_token, mock_user_info, params, mock_return, expected_status, expected", - insert_ticket_params, -) -@patch.object(id_token, "verify_oauth2_token") -@patch.object(datastore, "create") -def test_insert_ticket( - m_datastore, - m_verify_oauth2_token, - app, - method_name, - mock_token, - mock_user_info, - params, - mock_return, - expected_status, - expected, -): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=mock_return), - ) as mock_method: - m_verify_oauth2_token.return_value = mock_user_info - response = client.post( - "/tickets/insert", - headers={"User-Id-Token": "Bearer " + mock_token}, - params=params, - ) - assert response.status_code == expected_status - res = response.json() - assert len(res) == 1 - assert res == expected - assert m_verify_oauth2_token.call_count == 1 - assert len(m_verify_oauth2_token.mock_calls[0].args) == 2 - assert m_verify_oauth2_token.mock_calls[0].args[0] == mock_token - if expected_status == 200: - assert models.Ticket.model_validate(res[0]) - assert mock_method.call_count == 1 - assert mock_method.mock_calls[0].args == tuple( - mock_user_info.values() - ) + tuple(params.values()) - else: - assert mock_method.call_count == 0 - - -list_tickets_params = [ - pytest.param( - "list_tickets", - "valid_token", - { - "sub": 123, - "name": "test_user_name", - "email": "test_user_email", - }, - [ - models.Ticket( - user_id=123, - user_name="test_user_name", - user_email="test_user_email", - airline="CY", - flight_number="888", - departure_airport="LAX", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - ), - ], - 200, - { - "results": [ - { - "user_id": 123, - "user_name": "test_user_name", - "user_email": "test_user_email", - "airline": "CY", - "flight_number": "888", - "departure_airport": "LAX", - "arrival_airport": "JFK", - "departure_time": "2023-01-01T05:57:00", - "arrival_time": "2023-01-01T12:13:00", - }, - ], - "sql": None, - }, - ), - pytest.param( - "list_tickets", - "invalid_token", - None, - [ - models.Ticket( - user_id=123, - user_name="test_user_name", - user_email="test_user_email", - airline="CY", - flight_number="888", - departure_airport="LAX", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2023-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2023-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - ), - ], - 401, - {"detail": "User login required for data insertion"}, - ), -] - - -@pytest.mark.parametrize( - "method_name, mock_token, mock_user_info, mock_return, expected_status, expected", - list_tickets_params, -) -@patch.object(id_token, "verify_oauth2_token") -@patch.object(datastore, "create") -def test_list_tickets( - m_datastore, - m_verify_oauth2_token, - app, - method_name, - mock_token, - mock_user_info, - mock_return, - expected_status, - expected, -): - with TestClient(app) as client: - with patch.object( - m_datastore.return_value, - method_name, - AsyncMock(return_value=(mock_return, None)), - ) as mock_method: - m_verify_oauth2_token.return_value = mock_user_info - response = client.get( - "/tickets/list", - headers={"User-Id-Token": "Bearer " + mock_token}, - ) - assert response.status_code == expected_status - res = response.json() - assert res == expected - assert m_verify_oauth2_token.call_count == 1 - assert len(m_verify_oauth2_token.mock_calls[0].args) == 2 - assert m_verify_oauth2_token.mock_calls[0].args[0] == mock_token - if expected_status == 200: - assert len(res) == 2 - assert len(res["results"]) == 1 - assert models.Ticket.model_validate(res["results"][0]) - assert mock_method.call_count == 1 - assert len(mock_method.mock_calls[0].args) == 1 - assert mock_method.mock_calls[0].args[0] == mock_user_info["sub"] - else: - assert mock_method.call_count == 0 diff --git a/retrieval_service/app/routes.py b/retrieval_service/app/routes.py deleted file mode 100644 index afdfc9f5b..000000000 --- a/retrieval_service/app/routes.py +++ /dev/null @@ -1,222 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from typing import Any, Mapping, Optional - -from fastapi import APIRouter, HTTPException, Request -from google.auth.transport import requests # type:ignore -from google.oauth2 import id_token # type:ignore -from langchain_core.embeddings import Embeddings - -import datastore - -routes = APIRouter() - - -def _ParseUserIdToken(headers: Mapping[str, Any]) -> Optional[str]: - """Parses the bearer token out of the request headers.""" - # authorization_header = headers.lower() - user_id_token_header = headers.get("User-Id-Token") - if not user_id_token_header: - raise Exception("no user authorization header") - - parts = str(user_id_token_header).split(" ") - if len(parts) != 2 or parts[0] != "Bearer": - raise Exception("Invalid ID token") - - return parts[1] - - -async def get_user_info(request): - headers = request.headers - token = _ParseUserIdToken(headers) - try: - id_info = id_token.verify_oauth2_token( - token, requests.Request(), audience=request.app.state.client_id - ) - - return { - "user_id": id_info.get("sub"), - "user_name": id_info.get("name"), - "user_email": id_info.get("email"), - } - - except Exception as e: # pylint: disable=broad-except - print(e) - - -@routes.get("/") -async def root(): - return {"message": "Hello World"} - - -@routes.get("/airports") -async def get_airport( - request: Request, - id: Optional[int] = None, - iata: Optional[str] = None, -): - ds: datastore.Client = request.app.state.datastore - if id: - results, sql = await ds.get_airport_by_id(id) - elif iata: - results, sql = await ds.get_airport_by_iata(iata) - else: - raise HTTPException( - status_code=422, - detail="Request requires query params: airport id or iata", - ) - return {"results": results, "sql": sql} - - -@routes.get("/airports/search") -async def search_airports( - request: Request, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, -): - if country is None and city is None and name is None: - raise HTTPException( - status_code=422, - detail="Request requires at least one query params: country, city, or airport name", - ) - - ds: datastore.Client = request.app.state.datastore - results, sql = await ds.search_airports(country, city, name) - return {"results": results, "sql": sql} - - -@routes.get("/amenities") -async def get_amenity(id: int, request: Request): - ds: datastore.Client = request.app.state.datastore - results, sql = await ds.get_amenity(id) - return {"results": results, "sql": sql} - - -@routes.get("/amenities/search") -async def amenities_search(query: str, top_k: int, request: Request): - ds: datastore.Client = request.app.state.datastore - - embed_service: Embeddings = request.app.state.embed_service - query_embedding = embed_service.embed_query(query) - - results, sql = await ds.amenities_search(query_embedding, 0.5, top_k) - return {"results": results, "sql": sql} - - -@routes.get("/flights") -async def get_flight(flight_id: int, request: Request): - ds: datastore.Client = request.app.state.datastore - results, sql = await ds.get_flight(flight_id) - return {"results": results, "sql": sql} - - -@routes.get("/flights/search") -async def search_flights( - request: Request, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - date: Optional[str] = None, - airline: Optional[str] = None, - flight_number: Optional[str] = None, -): - ds: datastore.Client = request.app.state.datastore - if date and (arrival_airport or departure_airport): - results, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - elif airline and flight_number: - results, sql = await ds.search_flights_by_number(airline, flight_number) - else: - raise HTTPException( - status_code=422, - detail="Request requires query params: arrival_airport, departure_airport, date, or both airline and flight_number", - ) - return {"results": results, "sql": sql} - - -@routes.post("/tickets/insert") -async def insert_ticket( - request: Request, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, -): - user_info = await get_user_info(request) - if user_info is None: - raise HTTPException( - status_code=401, - detail="User login required for data insertion", - ) - ds: datastore.Client = request.app.state.datastore - results = await ds.insert_ticket( - user_info["user_id"], - user_info["user_name"], - user_info["user_email"], - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time, - arrival_time, - ) - return results - - -@routes.get("/tickets/validate") -async def validate_ticket( - request: Request, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, -): - ds: datastore.Client = request.app.state.datastore - results, sql = await ds.validate_ticket( - airline, - flight_number, - departure_airport, - departure_time, - ) - return {"results": results, "sql": sql} - - -@routes.get("/tickets/list") -async def list_tickets( - request: Request, -): - user_info = await get_user_info(request) - if user_info is None: - raise HTTPException( - status_code=401, - detail="User login required for data insertion", - ) - ds: datastore.Client = request.app.state.datastore - results, sql = await ds.list_tickets(user_info["user_id"]) - return {"results": results, "sql": sql} - - -@routes.get("/policies/search") -async def policies_search(query: str, top_k: int, request: Request): - ds: datastore.Client = request.app.state.datastore - - embed_service: Embeddings = request.app.state.embed_service - query_embedding = embed_service.embed_query(query) - - results, sql = await ds.policies_search(query_embedding, 0.5, top_k) - return {"results": results, "sql": sql} diff --git a/retrieval_service/cloudsql-mysql.tests.cloudbuild.yaml b/retrieval_service/cloudsql-mysql.tests.cloudbuild.yaml deleted file mode 100644 index d95282a32..000000000 --- a/retrieval_service/cloudsql-mysql.tests.cloudbuild.yaml +++ /dev/null @@ -1,69 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: Update config mysql - name: python:3.11 - dir: retrieval_service - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - # Create config - cp example-config-cloudsql.yml config.yml - sed -i "s/cloudsql-engine/cloudsql-mysql/g" config.yml - sed -i "s/my_database/${_DATABASE_NAME}/g" config.yml - sed -i "s/my-user/$$DB_USER/g" config.yml - sed -i "s/my-password/$$DB_PASS/g" config.yml - sed -i "s/my-project/$PROJECT_ID/g" config.yml - sed -i "s/my-region/${_CLOUDSQL_REGION}/g" config.yml - sed -i "s/my-instance/${_CLOUDSQL_INSTANCE}/g" config.yml - - - id: Run Cloud SQL mysql DB integration tests - name: python:3.11 - dir: retrieval_service - env: # Set env var expected by tests - - "DB_NAME=${_DATABASE_NAME}" - - "DB_PROJECT=$PROJECT_ID" - - "DB_REGION=${_CLOUDSQL_REGION}" - - "DB_INSTANCE=${_CLOUDSQL_INSTANCE}" - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - python -m pytest --cov=datastore.providers.cloudsql_mysql --cov-config=coverage/.cloudsql-mysql-coveragerc datastore/providers/cloudsql_mysql_test.py - -substitutions: - _DATABASE_NAME: test_${SHORT_SHA} - _CLOUDSQL_REGION: "us-central1" - _CLOUDSQL_INSTANCE: "my-cloudsql-mysql-instance" - -availableSecrets: - secretManager: - - versionName: projects/$PROJECT_ID/secrets/cloudsql_mysql_pass/versions/latest - env: DB_PASS - - versionName: projects/$PROJECT_ID/secrets/cloudsql_mysql_user/versions/latest - env: DB_USER - -options: - automapSubstitutions: true - substitutionOption: 'ALLOW_LOOSE' - dynamic_substitutions: true diff --git a/retrieval_service/cloudsql-pg.tests.cloudbuild.yaml b/retrieval_service/cloudsql-pg.tests.cloudbuild.yaml deleted file mode 100644 index 240317d17..000000000 --- a/retrieval_service/cloudsql-pg.tests.cloudbuild.yaml +++ /dev/null @@ -1,69 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: Update config postgres - name: python:3.11 - dir: retrieval_service - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - # Create config - cp example-config-cloudsql.yml config.yml - sed -i "s/cloudsql-engine/cloudsql-postgres/g" config.yml - sed -i "s/my_database/${_DATABASE_NAME}/g" config.yml - sed -i "s/my-user/$$DB_USER/g" config.yml - sed -i "s/my-password/$$DB_PASS/g" config.yml - sed -i "s/my-project/$PROJECT_ID/g" config.yml - sed -i "s/my-region/${_CLOUDSQL_REGION}/g" config.yml - sed -i "s/my-instance/${_CLOUDSQL_INSTANCE}/g" config.yml - - - id: Run Cloud SQL postgres DB integration tests - name: python:3.11 - dir: retrieval_service - env: # Set env var expected by tests - - "DB_NAME=${_DATABASE_NAME}" - - "DB_PROJECT=$PROJECT_ID" - - "DB_REGION=${_CLOUDSQL_REGION}" - - "DB_INSTANCE=${_CLOUDSQL_INSTANCE}" - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - python -m pytest --cov=datastore.providers.cloudsql_postgres --cov-config=coverage/.cloudsql-pg-coveragerc datastore/providers/cloudsql_postgres_test.py - -substitutions: - _DATABASE_NAME: test_${SHORT_SHA} - _CLOUDSQL_REGION: "us-central1" - _CLOUDSQL_INSTANCE: "my-cloudsql-pg-instance" - -availableSecrets: - secretManager: - - versionName: projects/$PROJECT_ID/secrets/cloudsql_pg_pass/versions/latest - env: DB_PASS - - versionName: projects/$PROJECT_ID/secrets/cloudsql_pg_user/versions/latest - env: DB_USER - -options: - automapSubstitutions: true - substitutionOption: 'ALLOW_LOOSE' - dynamic_substitutions: true diff --git a/retrieval_service/coverage/.alloydb-coveragerc b/retrieval_service/coverage/.alloydb-coveragerc deleted file mode 100644 index 996e2b7e3..000000000 --- a/retrieval_service/coverage/.alloydb-coveragerc +++ /dev/null @@ -1,9 +0,0 @@ -[run] -branch = true -omit = - */__init__.py - -[report] -show_missing = true -precision = 2 -fail_under = 93 diff --git a/retrieval_service/coverage/.app-coveragerc b/retrieval_service/coverage/.app-coveragerc deleted file mode 100644 index c298a1dd3..000000000 --- a/retrieval_service/coverage/.app-coveragerc +++ /dev/null @@ -1,10 +0,0 @@ -[run] -branch = true -omit = - */__init__.py - app_test.py - -[report] -show_missing = true -precision = 2 -fail_under = 95 diff --git a/retrieval_service/coverage/.cloudsql-mysql-coveragerc b/retrieval_service/coverage/.cloudsql-mysql-coveragerc deleted file mode 100644 index 7794b3324..000000000 --- a/retrieval_service/coverage/.cloudsql-mysql-coveragerc +++ /dev/null @@ -1,9 +0,0 @@ -[run] -branch = true -omit = - */__init__.py - -[report] -show_missing = true -precision = 2 -fail_under = 95 diff --git a/retrieval_service/coverage/.cloudsql-pg-coveragerc b/retrieval_service/coverage/.cloudsql-pg-coveragerc deleted file mode 100644 index 7794b3324..000000000 --- a/retrieval_service/coverage/.cloudsql-pg-coveragerc +++ /dev/null @@ -1,9 +0,0 @@ -[run] -branch = true -omit = - */__init__.py - -[report] -show_missing = true -precision = 2 -fail_under = 95 diff --git a/retrieval_service/coverage/.postgres-coveragerc b/retrieval_service/coverage/.postgres-coveragerc deleted file mode 100644 index c04c8a29b..000000000 --- a/retrieval_service/coverage/.postgres-coveragerc +++ /dev/null @@ -1,9 +0,0 @@ -[run] -branch = true -omit = - */__init__.py - -[report] -show_missing = true -precision = 2 -fail_under = 85 diff --git a/retrieval_service/coverage/.spanner-coveragerc b/retrieval_service/coverage/.spanner-coveragerc deleted file mode 100644 index c0dbdf857..000000000 --- a/retrieval_service/coverage/.spanner-coveragerc +++ /dev/null @@ -1,9 +0,0 @@ -[run] -branch = true -omit = - */__init__.py - -[report] -show_missing = true -precision = 2 -fail_under = 81 diff --git a/retrieval_service/datastore/__init__.py b/retrieval_service/datastore/__init__.py deleted file mode 100644 index 3ca2bae87..000000000 --- a/retrieval_service/datastore/__init__.py +++ /dev/null @@ -1,30 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from typing import Union - -from . import providers -from .datastore import Client, create - -Config = Union[ - providers.firestore.Config, - providers.postgres.Config, - providers.cloudsql_postgres.Config, - providers.spanner_gsql.Config, - providers.spanner_postgres.Config, - providers.alloydb.Config, - providers.cloudsql_mysql.Config, -] - -__ALL__ = [Client, Config, create, providers] diff --git a/retrieval_service/datastore/datastore.py b/retrieval_service/datastore/datastore.py deleted file mode 100644 index 13fe298a9..000000000 --- a/retrieval_service/datastore/datastore.py +++ /dev/null @@ -1,278 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import csv -from abc import ABC, abstractmethod -from typing import Any, Generic, List, Optional, TypeVar - -import models - - -class AbstractConfig(ABC): - kind: str - - -C = TypeVar("C", bound=AbstractConfig) - - -class classproperty: - def __init__(self, func): - self.fget = func - - def __get__(self, _, owner): - return self.fget(owner) - - -class Client(ABC, Generic[C]): - @classproperty - @abstractmethod - def kind(cls): - pass - - @classmethod - @abstractmethod - async def create(cls, config: C) -> "Client": - pass - - async def load_dataset( - self, airports_ds_path, amenities_ds_path, flights_ds_path, policies_ds_path - ) -> tuple[ - List[models.Airport], - List[models.Amenity], - List[models.Flight], - List[models.Policy], - ]: - airports: List[models.Airport] = [] - with open(airports_ds_path, "r") as f: - reader = csv.DictReader(f, delimiter=",") - airports = [models.Airport.model_validate(line) for line in reader] - - amenities: list[models.Amenity] = [] - with open(amenities_ds_path, "r") as f: - reader = csv.DictReader(f, delimiter=",") - amenities = [models.Amenity.model_validate(line) for line in reader] - - flights: List[models.Flight] = [] - with open(flights_ds_path, "r") as f: - reader = csv.DictReader(f, delimiter=",") - flights = [models.Flight.model_validate(line) for line in reader] - - policies: List[models.Policy] = [] - with open(policies_ds_path, "r") as f: - reader = csv.DictReader(f, delimiter=",") - policies = [models.Policy.model_validate(line) for line in reader] - return airports, amenities, flights, policies - - async def export_dataset( - self, - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) -> None: - with open(airports_new_path, "w") as f: - col_names = ["id", "iata", "name", "city", "country"] - writer = csv.DictWriter(f, col_names, delimiter=",") - writer.writeheader() - for a in airports: - writer.writerow(a.model_dump()) - - with open(amenities_new_path, "w") as f: - col_names = [ - "id", - "name", - "description", - "location", - "terminal", - "category", - "hour", - "sunday_start_hour", - "sunday_end_hour", - "monday_start_hour", - "monday_end_hour", - "tuesday_start_hour", - "tuesday_end_hour", - "wednesday_start_hour", - "wednesday_end_hour", - "thursday_start_hour", - "thursday_end_hour", - "friday_start_hour", - "friday_end_hour", - "saturday_start_hour", - "saturday_end_hour", - "content", - "embedding", - ] - writer = csv.DictWriter(f, col_names, delimiter=",") - writer.writeheader() - for a in amenities: - writer.writerow(a.model_dump()) - - with open(flights_new_path, "w") as f: - col_names = [ - "id", - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - "departure_gate", - "arrival_gate", - ] - writer = csv.DictWriter(f, col_names, delimiter=",") - writer.writeheader() - for fl in flights: - writer.writerow(fl.model_dump()) - - with open(policies_new_path, "w") as f: - col_names = [ - "id", - "content", - "embedding", - ] - writer = csv.DictWriter(f, col_names, delimiter=",") - writer.writeheader() - for p in policies: - writer.writerow(p.model_dump()) - - @abstractmethod - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - pass - - @abstractmethod - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - pass - - @abstractmethod - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def search_flights_by_number( - self, - airline: str, - flight_number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def search_flights_by_airports( - self, - date, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - raise NotImplementedError("Subclass should implement this!") - - @abstractmethod - async def close(self): - pass - - -async def create(config: AbstractConfig) -> Client: - for cls in Client.__subclasses__(): - if config.kind == cls.kind: - return await cls.create(config) # type: ignore - raise TypeError(f"No clients of kind '{config.kind}'") diff --git a/retrieval_service/datastore/helpers.py b/retrieval_service/datastore/helpers.py deleted file mode 100644 index 13e025f21..000000000 --- a/retrieval_service/datastore/helpers.py +++ /dev/null @@ -1,39 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from typing import Union - -import sqlparse - - -def format_sql(sql: str, params: dict): - """ - Format Postgres SQL to human readable text by replacing placeholders. - Handles dict-based (:key) formats. - """ - for key, value in params.items(): - sql = sql.replace(f":{key}", f"{value}") - # format the SQL - formatted_sql = ( - sqlparse.format( - sql, - reindent=True, - keyword_case="upper", - use_space_around_operators=True, - strip_whitespace=True, - ) - .replace("\n", "
") - .replace(" ", '
') - ) - return formatted_sql.replace("
", "", 1) diff --git a/retrieval_service/datastore/providers/__init__.py b/retrieval_service/datastore/providers/__init__.py deleted file mode 100644 index e5dcb0353..000000000 --- a/retrieval_service/datastore/providers/__init__.py +++ /dev/null @@ -1,33 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from . import ( - alloydb, - cloudsql_mysql, - cloudsql_postgres, - firestore, - postgres, - spanner_gsql, - spanner_postgres, -) - -__ALL__ = [ - alloydb, - postgres, - cloudsql_mysql, - cloudsql_postgres, - firestore, - spanner_gsql, - spanner_postgres, -] diff --git a/retrieval_service/datastore/providers/alloydb.py b/retrieval_service/datastore/providers/alloydb.py deleted file mode 100644 index 04fcd34eb..000000000 --- a/retrieval_service/datastore/providers/alloydb.py +++ /dev/null @@ -1,199 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from typing import Any, Literal, Optional - -import asyncpg -from google.cloud.alloydb.connector import AsyncConnector, RefreshStrategy -from pgvector.asyncpg import register_vector -from pydantic import BaseModel -from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine - -import models - -from .. import datastore -from .postgres import Client as PostgresClient - -ALLOYDB_PG_IDENTIFIER = "alloydb-postgres" - - -class Config(BaseModel, datastore.AbstractConfig): - kind: Literal["alloydb-postgres"] - project: str - region: str - cluster: str - instance: str - user: str - password: str - database: str - - -class Client(datastore.Client[Config]): - __connector: Optional[AsyncConnector] = None - __pg_client: PostgresClient - - @datastore.classproperty - def kind(cls): - return ALLOYDB_PG_IDENTIFIER - - def __init__(self, async_engine: AsyncEngine): - self.__pg_client = PostgresClient(async_engine) - - @classmethod - async def create(cls, config: Config) -> "Client": - async def getconn() -> asyncpg.Connection: - if cls.__connector is None: - cls.__connector = AsyncConnector(refresh_strategy=RefreshStrategy.LAZY) - - conn: asyncpg.Connection = await cls.__connector.connect( - # Alloydb instance connection name - f"projects/{config.project}/locations/{config.region}/clusters/{config.cluster}/instances/{config.instance}", - "asyncpg", - user=f"{config.user}", - password=f"{config.password}", - db=f"{config.database}", - ip_type="PUBLIC", - ) - await register_vector(conn) - return conn - - async_engine = create_async_engine( - "postgresql+asyncpg://", - async_creator=getconn, - ) - if async_engine is None: - raise TypeError("async_engine not instantiated") - return cls(async_engine) - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - await self.__pg_client.initialize_data(airports, amenities, flights, policies) - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - return await self.__pg_client.export_data() - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - return await self.__pg_client.get_airport_by_id(id) - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - return await self.__pg_client.get_airport_by_iata(iata) - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - return await self.__pg_client.search_airports(country, city, name) - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - return await self.__pg_client.get_amenity(id) - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - return await self.__pg_client.amenities_search( - query_embedding, similarity_threshold, top_k - ) - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - return await self.__pg_client.get_flight(flight_id) - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - return await self.__pg_client.search_flights_by_number(airline, number) - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - return await self.__pg_client.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - return await self.__pg_client.validate_ticket( - airline, flight_number, departure_airport, departure_time - ) - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - await self.__pg_client.insert_ticket( - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time, - arrival_time, - ) - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - return await self.__pg_client.list_tickets(user_id) - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - return await self.__pg_client.policies_search( - query_embedding, similarity_threshold, top_k - ) - - async def close(self): - await self.__pg_client.close() diff --git a/retrieval_service/datastore/providers/alloydb_test.py b/retrieval_service/datastore/providers/alloydb_test.py deleted file mode 100644 index 0a9a23f0b..000000000 --- a/retrieval_service/datastore/providers/alloydb_test.py +++ /dev/null @@ -1,710 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime -from typing import Any, AsyncGenerator, List - -import asyncpg -import pytest -import pytest_asyncio -from csv_diff import compare, load_csv # type: ignore -from google.cloud.alloydb.connector import AsyncConnector - -import models - -from .. import datastore -from . import alloydb -from .test_data import ( - amenities_query_embedding1, - amenities_query_embedding2, - foobar_query_embedding, - policies_query_embedding1, - policies_query_embedding2, -) -from .utils import get_env_var - -pytestmark = pytest.mark.asyncio(scope="module") - - -@pytest.fixture(scope="module") -def db_user() -> str: - return get_env_var("DB_USER", "name of a postgres user") - - -@pytest.fixture(scope="module") -def db_pass() -> str: - return get_env_var("DB_PASS", "password for the postgres user") - - -@pytest.fixture(scope="module") -def db_project() -> str: - return get_env_var("DB_PROJECT", "project id for google cloud") - - -@pytest.fixture(scope="module") -def db_region() -> str: - return get_env_var("DB_REGION", "region for alloydb instance") - - -@pytest.fixture(scope="module") -def db_cluster() -> str: - return get_env_var("DB_CLUSTER", "cluster for alloydb") - - -@pytest.fixture(scope="module") -def db_instance() -> str: - return get_env_var("DB_INSTANCE", "instance for alloydb") - - -@pytest_asyncio.fixture(scope="module") -async def create_db( - db_user: str, - db_pass: str, - db_project: str, - db_region: str, - db_cluster: str, - db_instance: str, -) -> AsyncGenerator[str, None]: - db_name = get_env_var("DB_NAME", "name of a postgres database") - connector = AsyncConnector() - project_instance = f"projects/{db_project}/locations/{db_region}/clusters/{db_cluster}/instances/{db_instance}" - # Database does not exist, create it. - sys_conn: asyncpg.Connection = await connector.connect( - project_instance, - "asyncpg", - user=f"{db_user}", - password=f"{db_pass}", - db="postgres", - ip_type="PUBLIC", - ) - await sys_conn.execute(f'DROP DATABASE IF EXISTS "{db_name}";') - await sys_conn.execute(f'CREATE DATABASE "{db_name}";') - conn: asyncpg.Connection = await connector.connect( - project_instance, - "asyncpg", - user=f"{db_user}", - password=f"{db_pass}", - db=f"{db_name}", - ip_type="PUBLIC", - ) - await conn.execute("CREATE EXTENSION IF NOT EXISTS vector;") - await conn.close() - yield db_name - await sys_conn.execute(f'DROP DATABASE IF EXISTS "{db_name}";') - await sys_conn.close() - - -@pytest_asyncio.fixture(scope="module") -async def ds( - create_db: str, - db_user: str, - db_pass: str, - db_project: str, - db_region: str, - db_cluster: str, - db_instance: str, -) -> AsyncGenerator[datastore.Client, None]: - cfg = alloydb.Config( - kind="alloydb-postgres", - user=db_user, - password=db_pass, - database=create_db, - project=db_project, - region=db_region, - cluster=db_cluster, - instance=db_instance, - ) - ds = await datastore.create(cfg) - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, - amenities_ds_path, - flights_ds_path, - policies_ds_path, - ) - await ds.initialize_data(airports, amenities, flights, policies) - - if ds is None: - raise TypeError("datastore creation failure") - yield ds - await ds.close() - - -def check_file_diff(file_diff): - assert file_diff["added"] == [] - assert file_diff["removed"] == [] - assert file_diff["changed"] == [] - assert file_diff["columns_added"] == [] - assert file_diff["columns_removed"] == [] - - -async def test_export_dataset(ds: alloydb.Client): - airports, amenities, flights, policies = await ds.export_data() - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - diff_airports = compare( - load_csv(open(airports_ds_path), "id"), load_csv(open(airports_new_path), "id") - ) - check_file_diff(diff_airports) - - diff_amenities = compare( - load_csv(open(amenities_ds_path), "id"), - load_csv(open(amenities_new_path), "id"), - ) - check_file_diff(diff_amenities) - - diff_flights = compare( - load_csv(open(flights_ds_path), "id"), load_csv(open(flights_new_path), "id") - ) - check_file_diff(diff_flights) - - diff_policies = compare( - load_csv(open(policies_ds_path), "id"), - load_csv(open(policies_new_path), "id"), - ) - check_file_diff(diff_policies) - - -async def test_get_airport_by_id(ds: alloydb.Client): - res, sql = await ds.get_airport_by_id(1) - expected = models.Airport( - id=1, - iata="MAG", - name="Madang Airport", - city="Madang", - country="Papua New Guinea", - ) - assert res == expected - assert sql is not None - - -@pytest.mark.parametrize( - "iata", - [ - pytest.param("SFO", id="upper_case"), - pytest.param("sfo", id="lower_case"), - ], -) -async def test_get_airport_by_iata(ds: alloydb.Client, iata: str): - res, sql = await ds.get_airport_by_iata(iata) - expected = models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - assert res == expected - assert sql is not None - - -search_airports_test_data = [ - pytest.param( - "Philippines", - "San jose", - None, - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=2313, - iata="EUQ", - name="Evelio Javier Airport", - city="San Jose", - country="Philippines", - ), - ], - id="country_and_city_only", - ), - pytest.param( - "united states", - "san francisco", - None, - [ - models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - ], - id="country_and_name_only", - ), - pytest.param( - None, - "San Jose", - "San Jose", - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=3548, - iata="SJC", - name="Norman Y. Mineta San Jose International Airport", - city="San Jose", - country="United States", - ), - ], - id="city_and_name_only", - ), - pytest.param( - "Foo", - "FOO BAR", - "Foo bar", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize("country, city, name, expected", search_airports_test_data) -async def test_search_airports( - ds: alloydb.Client, - country: str, - city: str, - name: str, - expected: List[models.Airport], -): - res, sql = await ds.search_airports(country, city, name) - assert res == expected - assert sql is not None - - -async def test_get_amenity(ds: alloydb.Client): - res, sql = await ds.get_amenity(0) - expected = models.Amenity( - id=0, - name="Coffee Shop 732", - description="Serving American cuisine.", - location="Near Gate B12", - terminal="Terminal 3", - category="restaurant", - hour="Daily 7:00 am - 10:00 pm", - sunday_start_hour=None, - sunday_end_hour=None, - monday_start_hour=None, - monday_end_hour=None, - tuesday_start_hour=None, - tuesday_end_hour=None, - wednesday_start_hour=None, - wednesday_end_hour=None, - thursday_start_hour=None, - thursday_end_hour=None, - friday_start_hour=None, - friday_end_hour=None, - saturday_start_hour=None, - saturday_end_hour=None, - ) - assert res == expected - assert sql is not None - - -amenities_search_test_data = [ - pytest.param( - # "Where can I get coffee near gate A6?" - amenities_query_embedding1, - 0.35, - 1, - [ - { - "name": "Coffee Shop 732", - "description": "Serving American cuisine.", - "location": "Near Gate B12", - "terminal": "Terminal 3", - "category": "restaurant", - "hour": "Daily 7:00 am - 10:00 pm", - }, - ], - id="search_coffee_shop", - ), - pytest.param( - # "Where can I look for luxury goods?" - amenities_query_embedding2, - 0.35, - 2, - [ - { - "name": "Gucci Duty Free", - "description": "Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.", - "location": "Gate E9", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - { - "name": "Hermes Duty Free", - "description": "High-end French brand duty-free shop offering luxury goods and accessories.", - "location": "Gate E18", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - ], - id="search_luxury_goods", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.1, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", amenities_search_test_data -) -async def test_amenities_search( - ds: alloydb.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[Any], -): - res, sql = await ds.amenities_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is not None - - -async def test_get_flight(ds: alloydb.Client): - res, sql = await ds.get_flight(1) - expected = models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime("2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S"), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ) - assert res == expected - assert sql is not None - - -search_flights_by_number_test_data = [ - pytest.param( - "UA", - "1158", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=55455, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2025-10-15 05:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-10-15 08:40:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="B50", - arrival_gate="E4", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "UU", - "0000", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "airline, number, expected", search_flights_by_number_test_data -) -async def test_search_flights_by_number( - ds: alloydb.Client, - airline: str, - number: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_number(airline, number) - assert res == expected - assert sql is not None - - -search_flights_by_airports_test_data = [ - pytest.param( - "2025-01-01", - "SFO", - "ORD", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=13, - airline="UA", - flight_number="616", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 07:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 13:24:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="A11", - arrival_gate="D8", - ), - models.Flight( - id=25, - airline="AA", - flight_number="242", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 08:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 14:26:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E30", - arrival_gate="C1", - ), - models.Flight( - id=109, - airline="UA", - flight_number="1640", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:01:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:02:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E27", - arrival_gate="C24", - ), - models.Flight( - id=119, - airline="AA", - flight_number="197", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:21:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:33:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="D25", - arrival_gate="E49", - ), - models.Flight( - id=136, - airline="UA", - flight_number="1564", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 19:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-02 01:14:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E3", - arrival_gate="C48", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "2025-01-01", - "FOO", - "BAR", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "date, departure_airport, arrival_airport, expected", - search_flights_by_airports_test_data, -) -async def test_search_flights_by_airports( - ds: alloydb.Client, - date: str, - departure_airport: str, - arrival_airport: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - assert res == expected - assert sql is not None - - -policies_search_test_data = [ - pytest.param( - # "What is the fee for extra baggage?" - policies_query_embedding1, - 0.35, - 1, - [ - "## Baggage\nChecked Baggage: Economy passengers are allowed 2 checked bags. Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.", - ], - id="search_extra_baggage_fee", - ), - pytest.param( - # "Can I change my flight?" - policies_query_embedding2, - 0.35, - 2, - [ - "Changes: Changes to tickets are permitted at any time until 60 minutes prior to scheduled departure. There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.", - "# Cymbal Air: Passenger Policy \n## Ticket Purchase and Changes\nTypes of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.", - ], - id="search_flight_delays", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.35, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", policies_search_test_data -) -async def test_policies_search( - ds: alloydb.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[str], -): - res, sql = await ds.policies_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is not None - - -validate_ticket_data = [ - pytest.param( - { - "airline": "UA", - "flight_number": "1158", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:57:00", - }, - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ), - 'SELECT *
FROM flights
WHERE airline ILIKE UA
AND flight_number ILIKE 1158
AND departure_airport ILIKE SFO
AND departure_time = 2025-01-01 05:57:00', - ), - pytest.param( - { - "airline": "XX", - "flight_number": "9999", - "departure_airport": "ZZZ", - "departure_time": "2025-01-01 05:57:00", - }, - None, - None, - ), -] - - -@pytest.mark.parametrize("params, expected_data, expected_sql", validate_ticket_data) -async def test_validate_ticket(ds: alloydb.Client, params, expected_data, expected_sql): - flight, sql = await ds.validate_ticket(**params) - assert flight == expected_data - assert sql == expected_sql diff --git a/retrieval_service/datastore/providers/cloudsql_mysql.py b/retrieval_service/datastore/providers/cloudsql_mysql.py deleted file mode 100644 index 5545507c8..000000000 --- a/retrieval_service/datastore/providers/cloudsql_mysql.py +++ /dev/null @@ -1,822 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -from datetime import datetime -from typing import Any, Literal, Optional - -import pymysql -from google.cloud.sql.connector import Connector, RefreshStrategy -from pydantic import BaseModel -from sqlalchemy import Engine, create_engine, text -from sqlalchemy.engine.base import Engine - -import models - -from .. import datastore - -MYSQL_IDENTIFIER = "cloudsql-mysql" - - -class Config(BaseModel, datastore.AbstractConfig): - kind: Literal["cloudsql-mysql"] - project: str - region: str - instance: str - user: str - password: str - database: str - - -class Client(datastore.Client[Config]): - __pool: Engine - __db_name: str - __connector: Optional[Connector] = None - - @datastore.classproperty - def kind(cls): - return MYSQL_IDENTIFIER - - def __init__(self, pool: Engine, db_name: str): - self.__pool = pool - self.__db_name = db_name - - @classmethod - def create_sync(cls, config: Config) -> "Client": - def getconn() -> pymysql.Connection: - if cls.__connector is None: - cls.__connector = Connector(refresh_strategy=RefreshStrategy.LAZY) - - return cls.__connector.connect( - # Cloud SQL instance connection name - f"{config.project}:{config.region}:{config.instance}", - "pymysql", - user=f"{config.user}", - password=f"{config.password}", - db=f"{config.database}", - autocommit=True, - ) - - pool = create_engine( - "mysql+pymysql://", - creator=getconn, - ) - if pool is None: - raise TypeError("pool not instantiated") - return cls(pool, config.database) - - @classmethod - async def create(cls, config: Config) -> "Client": - loop = asyncio.get_running_loop() - - pool = await loop.run_in_executor(None, cls.create_sync, config) - return pool - - def initialize_data_sync( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - with self.__pool.connect() as conn: - # If the table already exists, drop it to avoid conflicts - conn.execute(text("DROP TABLE IF EXISTS airports")) - # Create a new table - conn.execute( - text( - """ - CREATE TABLE airports( - id INT PRIMARY KEY, - iata TEXT, - name TEXT, - city TEXT, - country TEXT - ) - """ - ) - ) - # Insert all the data - conn.execute( - text( - """INSERT INTO airports VALUES (:id, :iata, :name, :city, :country)""" - ), - parameters=[ - { - "id": a.id, - "iata": a.iata, - "name": a.name, - "city": a.city, - "country": a.country, - } - for a in airports - ], - ) - - # If the table already exists, drop it to avoid conflicts - conn.execute(text("DROP TABLE IF EXISTS amenities CASCADE")) - - # Create a new table - conn.execute( - text( - """ - CREATE TABLE amenities( - id INT PRIMARY KEY, - name TEXT, - description TEXT, - location TEXT, - terminal TEXT, - category TEXT, - hour TEXT, - sunday_start_hour TIME, - sunday_end_hour TIME, - monday_start_hour TIME, - monday_end_hour TIME, - tuesday_start_hour TIME, - tuesday_end_hour TIME, - wednesday_start_hour TIME, - wednesday_end_hour TIME, - thursday_start_hour TIME, - thursday_end_hour TIME, - friday_start_hour TIME, - friday_end_hour TIME, - saturday_start_hour TIME, - saturday_end_hour TIME, - content TEXT NOT NULL, - embedding vector(768) USING VARBINARY NOT NULL - ) - """ - ) - ) - - # Insert all the data - conn.execute( - text( - """ - INSERT INTO amenities VALUES (:id, :name, :description, :location, - :terminal, :category, :hour, :sunday_start_hour, :sunday_end_hour, - :monday_start_hour, :monday_end_hour, :tuesday_start_hour, - :tuesday_end_hour, :wednesday_start_hour, :wednesday_end_hour, - :thursday_start_hour, :thursday_end_hour, :friday_start_hour, - :friday_end_hour, :saturday_start_hour, :saturday_end_hour, :content, string_to_vector(:embedding)) - """ - ), - parameters=[ - { - "id": a.id, - "name": a.name, - "description": a.description, - "location": a.location, - "terminal": a.terminal, - "category": a.category, - "hour": a.hour, - "sunday_start_hour": a.sunday_start_hour, - "sunday_end_hour": a.sunday_end_hour, - "monday_start_hour": a.monday_start_hour, - "monday_end_hour": a.monday_end_hour, - "tuesday_start_hour": a.tuesday_start_hour, - "tuesday_end_hour": a.tuesday_end_hour, - "wednesday_start_hour": a.wednesday_start_hour, - "wednesday_end_hour": a.wednesday_end_hour, - "thursday_start_hour": a.thursday_start_hour, - "thursday_end_hour": a.thursday_end_hour, - "friday_start_hour": a.friday_start_hour, - "friday_end_hour": a.friday_end_hour, - "saturday_start_hour": a.saturday_start_hour, - "saturday_end_hour": a.saturday_end_hour, - "content": a.content, - "embedding": f"{a.embedding}", - } - for a in amenities - ], - ) - - # If the table already exists, drop it to avoid conflicts - conn.execute(text("DROP TABLE IF EXISTS flights")) - # Create a new table - conn.execute( - text( - """ - CREATE TABLE flights( - id INTEGER PRIMARY KEY, - airline TEXT, - flight_number TEXT, - departure_airport TEXT, - arrival_airport TEXT, - departure_time TIMESTAMP, - arrival_time TIMESTAMP, - departure_gate TEXT, - arrival_gate TEXT - ) - """ - ) - ) - # Insert all the data - conn.execute( - text( - """ - INSERT INTO flights VALUES (:id, :airline, :flight_number, - :departure_airport, :arrival_airport, :departure_time, - :arrival_time, :departure_gate, :arrival_gate) - """ - ), - parameters=[ - { - "id": f.id, - "airline": f.airline, - "flight_number": f.flight_number, - "departure_airport": f.departure_airport, - "arrival_airport": f.arrival_airport, - "departure_time": f.departure_time, - "arrival_time": f.arrival_time, - "departure_gate": f.departure_gate, - "arrival_gate": f.arrival_gate, - } - for f in flights - ], - ) - - # If the table already exists, drop it to avoid conflicts - conn.execute(text("DROP TABLE IF EXISTS tickets")) - # Create a new table - conn.execute( - text( - """ - CREATE TABLE tickets( - user_id TEXT, - user_name TEXT, - user_email TEXT, - airline TEXT, - flight_number TEXT, - departure_airport TEXT, - arrival_airport TEXT, - departure_time TIMESTAMP, - arrival_time TIMESTAMP - ) - """ - ) - ) - - # If the table already exists, drop it to avoid conflicts - conn.execute(text("DROP TABLE IF EXISTS policies")) - # Create a new table - conn.execute( - text( - """ - CREATE TABLE policies( - id INT PRIMARY KEY, - content TEXT NOT NULL, - embedding vector(768) USING VARBINARY NOT NULL - ) - """ - ) - ) - # Insert all the data - conn.execute( - text( - """ - INSERT INTO policies VALUES (:id, :content, string_to_vector(:embedding)) - """ - ), - parameters=[ - { - "id": p.id, - "content": p.content, - "embedding": f"{p.embedding}", - } - for p in policies - ], - ) - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - loop = asyncio.get_running_loop() - await loop.run_in_executor( - None, self.initialize_data_sync, airports, amenities, flights, policies - ) - - def export_data_sync( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - with self.__pool.connect() as conn: - airport_task = conn.execute( - text("""SELECT * FROM airports ORDER BY id ASC""") - ) - amenity_task = conn.execute( - text( - """ - SELECT id, - name, - description, - location, - terminal, - category, - hour, - DATE_FORMAT(sunday_start_hour, '%H:%i') AS sunday_start_hour, - DATE_FORMAT(sunday_end_hour, '%H:%i') AS sunday_end_hour, - DATE_FORMAT(monday_start_hour, '%H:%i') AS monday_start_hour, - DATE_FORMAT(monday_end_hour, '%H:%i') AS monday_end_hour, - DATE_FORMAT(tuesday_start_hour, '%H:%i') AS tuesday_start_hour, - DATE_FORMAT(tuesday_end_hour, '%H:%i') AS tuesday_end_hour, - DATE_FORMAT(wednesday_start_hour, '%H:%i') AS wednesday_start_hour, - DATE_FORMAT(wednesday_end_hour, '%H:%i') AS wednesday_end_hour, - DATE_FORMAT(thursday_start_hour, '%H:%i') AS thursday_start_hour, - DATE_FORMAT(thursday_end_hour, '%H:%i') AS thursday_end_hour, - DATE_FORMAT(friday_start_hour, '%H:%i') AS friday_start_hour, - DATE_FORMAT(friday_end_hour, '%H:%i') AS friday_end_hour, - DATE_FORMAT(saturday_start_hour, '%H:%i') AS saturday_start_hour, - DATE_FORMAT(saturday_end_hour, '%H:%i') AS saturday_end_hour, - content, - vector_to_string(embedding) as embedding - FROM amenities ORDER BY id ASC - """ - ) - ) - flights_task = conn.execute( - text("""SELECT * FROM flights ORDER BY id ASC""") - ) - policy_task = conn.execute( - text( - """SELECT id, content, vector_to_string(embedding) as embedding FROM policies ORDER BY id ASC""" - ) - ) - - airport_results = (airport_task).mappings().fetchall() - amenity_results = (amenity_task).mappings().fetchall() - flights_results = (flights_task).mappings().fetchall() - policy_results = (policy_task).mappings().fetchall() - - airports = [models.Airport.model_validate(a) for a in airport_results] - amenities = [models.Amenity.model_validate(a) for a in amenity_results] - flights = [models.Flight.model_validate(f) for f in flights_results] - policies = [models.Policy.model_validate(p) for p in policy_results] - - return airports, amenities, flights, policies - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - loop = asyncio.get_running_loop() - res = await loop.run_in_executor(None, self.export_data_sync) - return res - - def get_airport_by_id_sync( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - with self.__pool.connect() as conn: - s = text("""SELECT * FROM airports WHERE id=:id""") - params = {"id": id} - result = (conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Airport.model_validate(result) - return res, None - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor(None, self.get_airport_by_id_sync, id) - return res, sql - - def get_airport_by_iata_sync( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - with self.__pool.connect() as conn: - s = text("""SELECT * FROM airports WHERE LOWER(iata) LIKE LOWER(:iata)""") - params = {"iata": iata} - result = (conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Airport.model_validate(result) - return res, None - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor(None, self.get_airport_by_iata_sync, iata) - return res, sql - - def search_airports_sync( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT * FROM airports - WHERE (:country IS NULL OR LOWER(country) LIKE CONCAT('%', LOWER(:country), '%')) - AND (:city IS NULL OR LOWER(city) LIKE CONCAT('%', LOWER(:city), '%')) - AND (:name IS NULL OR LOWER(name) LIKE CONCAT('%', LOWER(:name), '%')) - LIMIT 10; - """ - ) - params = { - "country": country, - "city": city, - "name": name, - } - results = (conn.execute(s, parameters=params)).mappings().fetchall() - - res = [models.Airport.model_validate(r) for r in results] - return res, None - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor( - None, self.search_airports_sync, country, city, name - ) - return res, sql - - def get_amenity_sync( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT id, name, description, location, terminal, category, hour - FROM amenities WHERE id=:id - """ - ) - params = {"id": id} - result = (conn.execute(s, parameters=params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Amenity.model_validate(result) - return res, None - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor(None, self.get_amenity_sync, id) - return res, sql - - def amenities_search_sync( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT name, description, location, terminal, category, hour - FROM amenities - ORDER BY APPROX_DISTANCE(embedding, string_to_vector(:query), 'distance_measure=cosine') LIMIT :search_options - """ - ) - params = { - "query": f"{query_embedding}", - "search_options": top_k, - } - results = (conn.execute(s, parameters=params)).mappings().fetchall() - - res = [r for r in results] - return res, None - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor( - None, - self.amenities_search_sync, - query_embedding, - similarity_threshold, - top_k, - ) - return res, sql - - def get_flight_sync( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT * FROM flights - WHERE id = :flight_id - """ - ) - params = {"flight_id": flight_id} - result = (conn.execute(s, parameters=params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Flight.model_validate(result) - return res, None - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor(None, self.get_flight_sync, flight_id) - return res, sql - - def search_flights_by_number_sync( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT * FROM flights - WHERE airline = :airline - AND flight_number = :number - LIMIT 10 - """ - ) - params = { - "airline": airline, - "number": number, - } - results = (conn.execute(s, parameters=params)).mappings().fetchall() - - res = [models.Flight.model_validate(r) for r in results] - return res, None - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor( - None, self.search_flights_by_number_sync, airline, number - ) - return res, sql - - def search_flights_by_airports_sync( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT * FROM flights - WHERE (CAST(:departure_airport AS CHAR(255)) IS NULL OR LOWER(departure_airport) LIKE LOWER(:departure_airport)) - AND (CAST(:arrival_airport AS CHAR(255)) IS NULL OR LOWER(arrival_airport) LIKE LOWER(:arrival_airport)) - AND departure_time >= CAST(:datetime AS DATETIME) - AND (departure_time < DATE_ADD(CAST(:datetime AS DATETIME), interval 1 day)) - LIMIT 10 - """ - ) - params = { - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "datetime": datetime.strptime(date, "%Y-%m-%d"), - } - - results = (conn.execute(s, parameters=params)).mappings().fetchall() - - res = [models.Flight.model_validate(r) for r in results] - return res, None - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor( - None, - self.search_flights_by_airports_sync, - date, - departure_airport, - arrival_airport, - ) - return res, sql - - def validate_ticket_sync( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT * FROM flights - WHERE LOWER(airline) LIKE LOWER(:airline) - AND LOWER(flight_number) LIKE LOWER(:flight_number) - AND LOWER(departure_airport) LIKE LOWER(:departure_airport) - AND departure_time = CAST(:departure_time AS DATETIME) - LIMIT 10 - """ - ) - params = { - "airline": airline, - "flight_number": flight_number, - "departure_airport": departure_airport, - "departure_time": departure_time, - } - - result = (conn.execute(s, parameters=params)).mappings().fetchone() - if result is None: - return None, None - res = models.Flight.model_validate(result) - return res, None - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor( - None, - self.validate_ticket_sync, - airline, - flight_number, - departure_airport, - departure_time, - ) - return res, sql - - def insert_ticket_sync( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - with self.__pool.connect() as conn: - s = text( - """ - INSERT INTO tickets ( - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time, - arrival_time - ) VALUES ( - :user_id, - :user_name, - :user_email, - :airline, - :flight_number, - :departure_airport, - :arrival_airport, - :departure_time, - :arrival_time - ); - """ - ) - params = { - "user_id": user_id, - "user_name": user_name, - "user_email": user_email, - "airline": airline, - "flight_number": flight_number, - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "departure_time": departure_time, - "arrival_time": arrival_time, - } - conn.execute(s, params).mappings() - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - loop = asyncio.get_running_loop() - await loop.run_in_executor( - None, - self.insert_ticket_sync, - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time, - arrival_time, - ) - - def list_tickets_sync( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT user_name, airline, flight_number, departure_airport, arrival_airport, departure_time, arrival_time FROM tickets - WHERE user_id = :user_id - """ - ) - params = { - "user_id": user_id, - } - - results = (conn.execute(s, parameters=params)).mappings().fetchall() - - res = [r for r in results] - return res, None - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[models.Ticket], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor(None, self.list_tickets_sync, user_id) - return res, sql - - def policies_search_sync( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - with self.__pool.connect() as conn: - s = text( - """ - SELECT content - FROM policies - ORDER BY APPROX_DISTANCE(embedding, string_to_vector(:query), 'distance_measure=cosine') LIMIT :search_options - """ - ) - params = { - "query": f"{query_embedding}", - "search_options": top_k, - } - - results = (conn.execute(s, parameters=params)).mappings().fetchall() - - res = [r["content"] for r in results] - return res, None - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - loop = asyncio.get_running_loop() - res, sql = await loop.run_in_executor( - None, - self.policies_search_sync, - query_embedding, - similarity_threshold, - top_k, - ) - return res, sql - - async def close(self): - self.__pool.dispose() diff --git a/retrieval_service/datastore/providers/cloudsql_mysql_test.py b/retrieval_service/datastore/providers/cloudsql_mysql_test.py deleted file mode 100644 index 382811abf..000000000 --- a/retrieval_service/datastore/providers/cloudsql_mysql_test.py +++ /dev/null @@ -1,762 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -from datetime import datetime -from typing import Any, AsyncGenerator, List - -import pymysql -import pytest -import pytest_asyncio -from csv_diff import compare, load_csv # type: ignore -from google.cloud.sql.connector import Connector - -import models - -from .. import datastore -from . import cloudsql_mysql -from .test_data import ( - amenities_query_embedding1, - amenities_query_embedding2, - foobar_query_embedding, - policies_query_embedding1, - policies_query_embedding2, -) -from .utils import get_env_var - -pytestmark = pytest.mark.asyncio(scope="module") - - -@pytest.fixture(scope="module") -def db_user() -> str: - return get_env_var("DB_USER", "name of a mysql user") - - -@pytest.fixture(scope="module") -def db_pass() -> str: - return get_env_var("DB_PASS", "password for the mysql user") - - -@pytest.fixture(scope="module") -def db_project() -> str: - return get_env_var("DB_PROJECT", "project id for google cloud") - - -@pytest.fixture(scope="module") -def db_region() -> str: - return get_env_var("DB_REGION", "region for cloud sql instance") - - -@pytest.fixture(scope="module") -def db_instance() -> str: - return get_env_var("DB_INSTANCE", "instance for cloud sql") - - -@pytest_asyncio.fixture(scope="module") -async def create_db( - db_user: str, db_pass: str, db_project: str, db_region: str, db_instance: str -) -> AsyncGenerator[str, None]: - db_name = get_env_var("DB_NAME", "name of a cloud sql mysql database") - loop = asyncio.get_running_loop() - connector = Connector(loop=loop) - project_instance = f"{db_project}:{db_region}:{db_instance}" - # Database does not exist, create it. - sys_conn: pymysql.Connection = await connector.connect_async( - # cloud sql instance connection name - project_instance, - "pymysql", - user=f"{db_user}", - password=f"{db_pass}", - db="mysql", - ) - cursor = sys_conn.cursor() - - cursor.execute(f"drop database if exists {db_name};") - cursor.execute(f"CREATE DATABASE {db_name};") - conn: pymysql.Connection = await connector.connect_async( - # Cloud SQL instance connection name - project_instance, - "pymysql", - user=f"{db_user}", - password=f"{db_pass}", - db=f"{db_name}", - ) - conn.close() - yield db_name - cursor.execute(f"drop database if exists {db_name};") - cursor.close() - - -@pytest_asyncio.fixture(scope="module") -async def ds( - create_db: str, - db_user: str, - db_pass: str, - db_project: str, - db_region: str, - db_instance: str, -) -> AsyncGenerator[datastore.Client, None]: - cfg = cloudsql_mysql.Config( - kind="cloudsql-mysql", - user=db_user, - password=db_pass, - database=create_db, - project=db_project, - region=db_region, - instance=db_instance, - ) - ds = await datastore.create(cfg) - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, - amenities_ds_path, - flights_ds_path, - policies_ds_path, - ) - await ds.initialize_data(airports, amenities, flights, policies) - - if ds is None: - raise TypeError("datastore creation failure") - yield ds - - await ds.close() - - -def only_embedding_changed(file_diff): - return all( - key == "embedding" - for change in file_diff["changed"] - for key in change["changes"] - ) - - -def check_file_diff(file_diff): - assert file_diff["added"] == [] - assert file_diff["removed"] == [] - assert file_diff["columns_added"] == [] - assert file_diff["columns_removed"] == [] - assert file_diff["changed"] == [] or only_embedding_changed(file_diff) - - -async def test_export_dataset(ds: cloudsql_mysql.Client): - airports, amenities, flights, policies = await ds.export_data() - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - diff_airports = compare( - load_csv(open(airports_ds_path), "id"), load_csv(open(airports_new_path), "id") - ) - check_file_diff(diff_airports) - - diff_amenities = compare( - load_csv(open(amenities_ds_path), "id"), - load_csv(open(amenities_new_path), "id"), - ) - check_file_diff(diff_amenities) - - diff_flights = compare( - load_csv(open(flights_ds_path), "id"), load_csv(open(flights_new_path), "id") - ) - check_file_diff(diff_flights) - - diff_policies = compare( - load_csv(open(policies_ds_path), "id"), - load_csv(open(policies_new_path), "id"), - ) - - check_file_diff(diff_policies) - - -async def test_get_airport_by_id(ds: cloudsql_mysql.Client): - res, sql = await ds.get_airport_by_id(1) - expected = models.Airport( - id=1, - iata="MAG", - name="Madang Airport", - city="Madang", - country="Papua New Guinea", - ) - assert res == expected - assert sql is None - - -@pytest.mark.parametrize( - "iata", - [ - pytest.param("SFO", id="upper_case"), - pytest.param("sfo", id="lower_case"), - ], -) -async def test_get_airport_by_iata(ds: cloudsql_mysql.Client, iata: str): - res, sql = await ds.get_airport_by_iata(iata) - expected = models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - assert res == expected - assert sql is None - - -search_airports_test_data = [ - pytest.param( - "Philippines", - "San jose", - None, - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=2313, - iata="EUQ", - name="Evelio Javier Airport", - city="San Jose", - country="Philippines", - ), - ], - id="country_and_city_only", - ), - pytest.param( - "united states", - "san francisco", - None, - [ - models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - ], - id="country_and_name_only", - ), - pytest.param( - None, - "San Jose", - "San Jose", - [ - models.Airport( - id=1714, - iata="GSJ", - name="San José Airport", - city="San Jose", - country="Guatemala", - ), - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=3548, - iata="SJC", - name="Norman Y. Mineta San Jose International Airport", - city="San Jose", - country="United States", - ), - ], - id="city_and_name_only", - ), - pytest.param( - "Foo", - "FOO BAR", - "Foo bar", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize("country, city, name, expected", search_airports_test_data) -async def test_search_airports( - ds: cloudsql_mysql.Client, - country: str, - city: str, - name: str, - expected: List[models.Airport], -): - res, sql = await ds.search_airports(country, city, name) - assert res == expected - assert sql is None - - -async def test_get_amenity(ds: cloudsql_mysql.Client): - res, sql = await ds.get_amenity(0) - expected = models.Amenity( - id=0, - name="Coffee Shop 732", - description="Serving American cuisine.", - location="Near Gate B12", - terminal="Terminal 3", - category="restaurant", - hour="Daily 7:00 am - 10:00 pm", - sunday_start_hour=None, - sunday_end_hour=None, - monday_start_hour=None, - monday_end_hour=None, - tuesday_start_hour=None, - tuesday_end_hour=None, - wednesday_start_hour=None, - wednesday_end_hour=None, - thursday_start_hour=None, - thursday_end_hour=None, - friday_start_hour=None, - friday_end_hour=None, - saturday_start_hour=None, - saturday_end_hour=None, - ) - assert res == expected - assert sql is None - - -amenities_search_test_data = [ - pytest.param( - # "Where can I get coffee near gate A6?" - amenities_query_embedding1, - 0.35, - 1, - [ - { - "name": "Coffee Shop 732", - "description": "Serving American cuisine.", - "location": "Near Gate B12", - "terminal": "Terminal 3", - "category": "restaurant", - "hour": "Daily 7:00 am - 10:00 pm", - }, - ], - id="search_coffee_shop", - ), - pytest.param( - # "Where can I look for luxury goods?" - amenities_query_embedding2, - 0.35, - 2, - [ - { - "name": "Gucci Duty Free", - "description": "Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.", - "location": "Gate E9", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - { - "name": "Hermes Duty Free", - "description": "High-end French brand duty-free shop offering luxury goods and accessories.", - "location": "Gate E18", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - ], - id="search_luxury_goods", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", amenities_search_test_data -) -async def test_amenities_search( - ds: cloudsql_mysql.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[Any], -): - res, sql = await ds.amenities_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is None - - -async def test_get_flight(ds: cloudsql_mysql.Client): - res, sql = await ds.get_flight(1) - expected = models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime("2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S"), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ) - assert res == expected - assert sql is None - - -search_flights_by_number_test_data = [ - pytest.param( - "UA", - "1158", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=55455, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2025-10-15 05:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-10-15 08:40:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="B50", - arrival_gate="E4", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "UU", - "0000", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "airline, number, expected", search_flights_by_number_test_data -) -async def test_search_flights_by_number( - ds: cloudsql_mysql.Client, - airline: str, - number: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_number(airline, number) - assert res == expected - assert sql is None - - -search_flights_by_airports_test_data = [ - pytest.param( - "2025-01-01", - "SFO", - "ORD", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=13, - airline="UA", - flight_number="616", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 07:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 13:24:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="A11", - arrival_gate="D8", - ), - models.Flight( - id=25, - airline="AA", - flight_number="242", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 08:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 14:26:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E30", - arrival_gate="C1", - ), - models.Flight( - id=109, - airline="UA", - flight_number="1640", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:01:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:02:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E27", - arrival_gate="C24", - ), - models.Flight( - id=119, - airline="AA", - flight_number="197", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:21:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:33:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="D25", - arrival_gate="E49", - ), - models.Flight( - id=136, - airline="UA", - flight_number="1564", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 19:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-02 01:14:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E3", - arrival_gate="C48", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "2025-01-01", - "FOO", - "BAR", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "date, departure_airport, arrival_airport, expected", - search_flights_by_airports_test_data, -) -async def test_search_flights_by_airports( - ds: cloudsql_mysql.Client, - date: str, - departure_airport: str, - arrival_airport: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - assert res == expected - assert sql is None - - -async def test_insert_ticket(ds: cloudsql_mysql.Client): - await ds.insert_ticket( - "1", - "test", - "test", - "UA", - "1532", - "SFO", - "DEN", - "2025-01-01 05:50:00", - "2025-01-01 09:23:00", - ) - - -async def test_list_tickets(ds: cloudsql_mysql.Client): - res, sql = await ds.list_tickets("1") - expected = [ - { - "user_name": "test", - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "arrival_airport": "DEN", - "departure_time": datetime.strptime( - "2025-01-01 05:50:00", "%Y-%m-%d %H:%M:%S" - ), - "arrival_time": datetime.strptime( - "2025-01-01 09:23:00", "%Y-%m-%d %H:%M:%S" - ), - } - ] - - assert res == expected - assert sql is None - - -validate_ticket_data = [ - pytest.param( - { - "airline": "UA", - "flight_number": "1158", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:57:00", - }, - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ), - None, - ), - pytest.param( - { - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:50:00", - }, - models.Flight( - id=0, - airline="UA", - flight_number="1532", - departure_airport="SFO", - arrival_airport="DEN", - departure_time=datetime.strptime( - "2025-01-01 05:50:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 09:23:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="E49", - arrival_gate="D6", - ), - None, - ), - pytest.param( - { - "airline": "XX", - "flight_number": "9999", - "departure_airport": "ZZZ", - "departure_time": "2025-01-01 05:57:00", - }, - None, - None, - ), -] - - -@pytest.mark.parametrize("params, expected_data, expected_sql", validate_ticket_data) -async def test_validate_ticket( - ds: cloudsql_mysql.Client, params, expected_data, expected_sql -): - flight, sql = await ds.validate_ticket(**params) - assert flight == expected_data - assert sql == expected_sql - - -policies_search_test_data = [ - pytest.param( - # "What is the fee for extra baggage?" - policies_query_embedding1, - 0.35, - 1, - [ - "## Baggage\nChecked Baggage: Economy passengers are allowed 2 checked bags. Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.", - ], - id="search_extra_baggage_fee", - ), - pytest.param( - # "Can I change my flight?" - policies_query_embedding2, - 0.35, - 2, - [ - "Changes: Changes to tickets are permitted at any time until 60 minutes prior to scheduled departure. There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.", - "# Cymbal Air: Passenger Policy \n## Ticket Purchase and Changes\nTypes of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.", - ], - id="search_flight_delays", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", policies_search_test_data -) -async def test_policies_search( - ds: cloudsql_mysql.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[str], -): - res, sql = await ds.policies_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is None diff --git a/retrieval_service/datastore/providers/cloudsql_postgres.py b/retrieval_service/datastore/providers/cloudsql_postgres.py deleted file mode 100644 index 364b3fe11..000000000 --- a/retrieval_service/datastore/providers/cloudsql_postgres.py +++ /dev/null @@ -1,201 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -from typing import Any, Literal, Optional - -import asyncpg -from google.cloud.sql.connector import Connector, RefreshStrategy -from pgvector.asyncpg import register_vector -from pydantic import BaseModel -from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine - -import models - -from .. import datastore -from .postgres import Client as PostgresClient - -CLOUD_SQL_PG_IDENTIFIER = "cloudsql-postgres" - - -class Config(BaseModel, datastore.AbstractConfig): - kind: Literal["cloudsql-postgres"] - project: str - region: str - instance: str - user: str - password: str - database: str - - -class Client(datastore.Client[Config]): - __pg_client: PostgresClient - __connector: Optional[Connector] = None - - @datastore.classproperty - def kind(cls): - return CLOUD_SQL_PG_IDENTIFIER - - def __init__(self, async_engine: AsyncEngine): - self.__pg_client = PostgresClient(async_engine) - - @classmethod - async def create(cls, config: Config) -> "Client": - async def getconn() -> asyncpg.Connection: - if cls.__connector is None: - loop = asyncio.get_running_loop() - cls.__connector = Connector( - loop=loop, refresh_strategy=RefreshStrategy.LAZY - ) - - conn: asyncpg.Connection = await cls.__connector.connect_async( - # Cloud SQL instance connection name - f"{config.project}:{config.region}:{config.instance}", - "asyncpg", - user=f"{config.user}", - password=f"{config.password}", - db=f"{config.database}", - ) - await register_vector(conn) - return conn - - async_engine = create_async_engine( - "postgresql+asyncpg://", - async_creator=getconn, - ) - if async_engine is None: - raise TypeError("async_engine not instantiated") - return cls(async_engine) - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - await self.__pg_client.initialize_data(airports, amenities, flights, policies) - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - return await self.__pg_client.export_data() - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - return await self.__pg_client.get_airport_by_id(id) - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - return await self.__pg_client.get_airport_by_iata(iata) - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - return await self.__pg_client.search_airports(country, city, name) - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - return await self.__pg_client.get_amenity(id) - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - return await self.__pg_client.amenities_search( - query_embedding, similarity_threshold, top_k - ) - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - return await self.__pg_client.get_flight(flight_id) - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - return await self.__pg_client.search_flights_by_number(airline, number) - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - return await self.__pg_client.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - return await self.__pg_client.validate_ticket( - airline, flight_number, departure_airport, departure_time - ) - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - await self.__pg_client.insert_ticket( - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time, - arrival_time, - ) - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - return await self.__pg_client.list_tickets(user_id) - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - return await self.__pg_client.policies_search( - query_embedding, similarity_threshold, top_k - ) - - async def close(self): - await self.__pg_client.close() diff --git a/retrieval_service/datastore/providers/cloudsql_postgres_test.py b/retrieval_service/datastore/providers/cloudsql_postgres_test.py deleted file mode 100644 index 6a9ef0702..000000000 --- a/retrieval_service/datastore/providers/cloudsql_postgres_test.py +++ /dev/null @@ -1,758 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -from datetime import datetime -from typing import Any, AsyncGenerator, List - -import asyncpg -import pytest -import pytest_asyncio -from csv_diff import compare, load_csv # type: ignore -from google.cloud.sql.connector import Connector - -import models - -from .. import datastore -from . import cloudsql_postgres -from .test_data import ( - amenities_query_embedding1, - amenities_query_embedding2, - foobar_query_embedding, - policies_query_embedding1, - policies_query_embedding2, -) -from .utils import get_env_var - -pytestmark = pytest.mark.asyncio(scope="module") - - -@pytest.fixture(scope="module") -def db_user() -> str: - return get_env_var("DB_USER", "name of a postgres user") - - -@pytest.fixture(scope="module") -def db_pass() -> str: - return get_env_var("DB_PASS", "password for the postgres user") - - -@pytest.fixture(scope="module") -def db_project() -> str: - return get_env_var("DB_PROJECT", "project id for google cloud") - - -@pytest.fixture(scope="module") -def db_region() -> str: - return get_env_var("DB_REGION", "region for cloud sql instance") - - -@pytest.fixture(scope="module") -def db_instance() -> str: - return get_env_var("DB_INSTANCE", "instance for cloud sql") - - -@pytest_asyncio.fixture(scope="module") -async def create_db( - db_user: str, db_pass: str, db_project: str, db_region: str, db_instance: str -) -> AsyncGenerator[str, None]: - db_name = get_env_var("DB_NAME", "name of a postgres database") - loop = asyncio.get_running_loop() - connector = Connector(loop=loop) - project_instance = f"{db_project}:{db_region}:{db_instance}" - # Database does not exist, create it. - sys_conn: asyncpg.Connection = await connector.connect_async( - project_instance, - "asyncpg", - user=f"{db_user}", - password=f"{db_pass}", - db="postgres", - ) - await sys_conn.execute(f'DROP DATABASE IF EXISTS "{db_name}";') - await sys_conn.execute(f'CREATE DATABASE "{db_name}";') - conn: asyncpg.Connection = await connector.connect_async( - project_instance, - "asyncpg", - user=f"{db_user}", - password=f"{db_pass}", - db=f"{db_name}", - ) - await conn.execute("CREATE EXTENSION IF NOT EXISTS vector;") - await conn.close() - yield db_name - await sys_conn.execute(f'DROP DATABASE IF EXISTS "{db_name}";') - await sys_conn.close() - - -@pytest_asyncio.fixture(scope="module") -async def ds( - create_db: str, - db_user: str, - db_pass: str, - db_project: str, - db_region: str, - db_instance: str, -) -> AsyncGenerator[datastore.Client, None]: - cfg = cloudsql_postgres.Config( - kind="cloudsql-postgres", - user=db_user, - password=db_pass, - database=create_db, - project=db_project, - region=db_region, - instance=db_instance, - ) - ds = await datastore.create(cfg) - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, - amenities_ds_path, - flights_ds_path, - policies_ds_path, - ) - await ds.initialize_data(airports, amenities, flights, policies) - - if ds is None: - raise TypeError("datastore creation failure") - yield ds - await ds.close() - - -def check_file_diff(file_diff): - assert file_diff["added"] == [] - assert file_diff["removed"] == [] - assert file_diff["changed"] == [] - assert file_diff["columns_added"] == [] - assert file_diff["columns_removed"] == [] - - -async def test_export_dataset(ds: cloudsql_postgres.Client): - airports, amenities, flights, policies = await ds.export_data() - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - diff_airports = compare( - load_csv(open(airports_ds_path), "id"), load_csv(open(airports_new_path), "id") - ) - check_file_diff(diff_airports) - - diff_amenities = compare( - load_csv(open(amenities_ds_path), "id"), - load_csv(open(amenities_new_path), "id"), - ) - check_file_diff(diff_amenities) - - diff_flights = compare( - load_csv(open(flights_ds_path), "id"), load_csv(open(flights_new_path), "id") - ) - check_file_diff(diff_flights) - - diff_policies = compare( - load_csv(open(policies_ds_path), "id"), - load_csv(open(policies_new_path), "id"), - ) - check_file_diff(diff_policies) - - -async def test_get_airport_by_id(ds: cloudsql_postgres.Client): - res, sql = await ds.get_airport_by_id(1) - expected = models.Airport( - id=1, - iata="MAG", - name="Madang Airport", - city="Madang", - country="Papua New Guinea", - ) - assert res == expected - assert sql is not None - - -@pytest.mark.parametrize( - "iata", - [ - pytest.param("SFO", id="upper_case"), - pytest.param("sfo", id="lower_case"), - ], -) -async def test_get_airport_by_iata(ds: cloudsql_postgres.Client, iata: str): - res, sql = await ds.get_airport_by_iata(iata) - expected = models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - assert res == expected - assert sql is not None - - -search_airports_test_data = [ - pytest.param( - "Philippines", - "San jose", - None, - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=2313, - iata="EUQ", - name="Evelio Javier Airport", - city="San Jose", - country="Philippines", - ), - ], - id="country_and_city_only", - ), - pytest.param( - "united states", - "san francisco", - None, - [ - models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - ], - id="country_and_name_only", - ), - pytest.param( - None, - "San Jose", - "San Jose", - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=3548, - iata="SJC", - name="Norman Y. Mineta San Jose International Airport", - city="San Jose", - country="United States", - ), - ], - id="city_and_name_only", - ), - pytest.param( - "Foo", - "FOO BAR", - "Foo bar", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize("country, city, name, expected", search_airports_test_data) -async def test_search_airports( - ds: cloudsql_postgres.Client, - country: str, - city: str, - name: str, - expected: List[models.Airport], -): - res, sql = await ds.search_airports(country, city, name) - assert res == expected - assert sql is not None - - -async def test_get_amenity(ds: cloudsql_postgres.Client): - res, sql = await ds.get_amenity(0) - expected = models.Amenity( - id=0, - name="Coffee Shop 732", - description="Serving American cuisine.", - location="Near Gate B12", - terminal="Terminal 3", - category="restaurant", - hour="Daily 7:00 am - 10:00 pm", - sunday_start_hour=None, - sunday_end_hour=None, - monday_start_hour=None, - monday_end_hour=None, - tuesday_start_hour=None, - tuesday_end_hour=None, - wednesday_start_hour=None, - wednesday_end_hour=None, - thursday_start_hour=None, - thursday_end_hour=None, - friday_start_hour=None, - friday_end_hour=None, - saturday_start_hour=None, - saturday_end_hour=None, - ) - assert res == expected - assert sql is not None - - -amenities_search_test_data = [ - pytest.param( - # "Where can I get coffee near gate A6?" - amenities_query_embedding1, - 0.35, - 1, - [ - { - "name": "Coffee Shop 732", - "description": "Serving American cuisine.", - "location": "Near Gate B12", - "terminal": "Terminal 3", - "category": "restaurant", - "hour": "Daily 7:00 am - 10:00 pm", - }, - ], - id="search_coffee_shop", - ), - pytest.param( - # "Where can I look for luxury goods?" - amenities_query_embedding2, - 0.35, - 2, - [ - { - "name": "Gucci Duty Free", - "description": "Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.", - "location": "Gate E9", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - { - "name": "Hermes Duty Free", - "description": "High-end French brand duty-free shop offering luxury goods and accessories.", - "location": "Gate E18", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - ], - id="search_luxury_goods", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.1, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", amenities_search_test_data -) -async def test_amenities_search( - ds: cloudsql_postgres.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[Any], -): - res, sql = await ds.amenities_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is not None - - -async def test_get_flight(ds: cloudsql_postgres.Client): - res, sql = await ds.get_flight(1) - expected = models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime("2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S"), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ) - assert res == expected - assert sql is not None - - -search_flights_by_number_test_data = [ - pytest.param( - "UA", - "1158", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=55455, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2025-10-15 05:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-10-15 08:40:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="B50", - arrival_gate="E4", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "UU", - "0000", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "airline, number, expected", search_flights_by_number_test_data -) -async def test_search_flights_by_number( - ds: cloudsql_postgres.Client, - airline: str, - number: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_number(airline, number) - assert res == expected - assert sql is not None - - -search_flights_by_airports_test_data = [ - pytest.param( - "2025-01-01", - "SFO", - "ORD", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=13, - airline="UA", - flight_number="616", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 07:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 13:24:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="A11", - arrival_gate="D8", - ), - models.Flight( - id=25, - airline="AA", - flight_number="242", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 08:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 14:26:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E30", - arrival_gate="C1", - ), - models.Flight( - id=109, - airline="UA", - flight_number="1640", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:01:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:02:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E27", - arrival_gate="C24", - ), - models.Flight( - id=119, - airline="AA", - flight_number="197", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:21:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:33:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="D25", - arrival_gate="E49", - ), - models.Flight( - id=136, - airline="UA", - flight_number="1564", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 19:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-02 01:14:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E3", - arrival_gate="C48", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "2025-01-01", - "FOO", - "BAR", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "date, departure_airport, arrival_airport, expected", - search_flights_by_airports_test_data, -) -async def test_search_flights_by_airports( - ds: cloudsql_postgres.Client, - date: str, - departure_airport: str, - arrival_airport: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - assert res == expected - assert sql is not None - - -async def test_insert_ticket(ds: cloudsql_postgres.Client): - await ds.insert_ticket( - "1", - "test", - "test", - "UA", - "1532", - "SFO", - "DEN", - "2025-01-01 05:50:00", - "2025-01-01 09:23:00", - ) - - -async def test_list_tickets(ds: cloudsql_postgres.Client): - res, sql = await ds.list_tickets("1") - expected = [ - { - "user_name": "test", - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "arrival_airport": "DEN", - "departure_time": datetime.strptime( - "2025-01-01 05:50:00", "%Y-%m-%d %H:%M:%S" - ), - "arrival_time": datetime.strptime( - "2025-01-01 09:23:00", "%Y-%m-%d %H:%M:%S" - ), - } - ] - - assert res == expected - assert sql is not None - - -validate_ticket_data = [ - pytest.param( - { - "airline": "UA", - "flight_number": "1532", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:50:00", - }, - models.Flight( - id=0, - airline="UA", - flight_number="1532", - departure_airport="SFO", - arrival_airport="DEN", - departure_time=datetime.strptime( - "2025-01-01 05:50:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 09:23:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="E49", - arrival_gate="D6", - ), - 'SELECT *
FROM flights
WHERE airline ILIKE UA
AND flight_number ILIKE 1532
AND departure_airport ILIKE SFO
AND departure_time = 2025-01-01 05:50:00', - ), - pytest.param( - { - "airline": "UA", - "flight_number": "1158", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:57:00", - }, - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ), - 'SELECT *
FROM flights
WHERE airline ILIKE UA
AND flight_number ILIKE 1158
AND departure_airport ILIKE SFO
AND departure_time = 2025-01-01 05:57:00', - ), - pytest.param( - { - "airline": "XX", - "flight_number": "9999", - "departure_airport": "ZZZ", - "departure_time": "2025-01-01 05:57:00", - }, - None, - None, - ), -] - - -@pytest.mark.parametrize("params, expected_data, expected_sql", validate_ticket_data) -async def test_validate_ticket( - ds: cloudsql_postgres.Client, params, expected_data, expected_sql -): - flight, sql = await ds.validate_ticket(**params) - assert flight == expected_data - assert sql == expected_sql - - -policies_search_test_data = [ - pytest.param( - # "What is the fee for extra baggage?" - policies_query_embedding1, - 0.35, - 1, - [ - "## Baggage\nChecked Baggage: Economy passengers are allowed 2 checked bags. Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.", - ], - id="search_extra_baggage_fee", - ), - pytest.param( - # "Can I change my flight?" - policies_query_embedding2, - 0.35, - 2, - [ - "Changes: Changes to tickets are permitted at any time until 60 minutes prior to scheduled departure. There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.", - "# Cymbal Air: Passenger Policy \n## Ticket Purchase and Changes\nTypes of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.", - ], - id="search_flight_delays", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.35, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", policies_search_test_data -) -async def test_policies_search( - ds: cloudsql_postgres.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[str], -): - res, sql = await ds.policies_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is not None diff --git a/retrieval_service/datastore/providers/firestore.py b/retrieval_service/datastore/providers/firestore.py deleted file mode 100644 index f52390a4d..000000000 --- a/retrieval_service/datastore/providers/firestore.py +++ /dev/null @@ -1,539 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -from datetime import datetime, timedelta -from typing import Any, Literal, Optional - -from google.cloud.firestore import AsyncClient # type: ignore -from google.cloud.firestore_v1.async_collection import AsyncCollectionReference -from google.cloud.firestore_v1.async_query import AsyncQuery -from google.cloud.firestore_v1.base_query import FieldFilter -from google.cloud.firestore_v1.base_vector_query import DistanceMeasure -from google.cloud.firestore_v1.vector import Vector -from pydantic import BaseModel - -import models - -from .. import datastore - -FIRESTORE_IDENTIFIER = "firestore" - - -class Config(BaseModel, datastore.AbstractConfig): - kind: Literal["firestore"] - projectId: Optional[str] - - -class Client(datastore.Client[Config]): - __client: AsyncClient - - @datastore.classproperty - def kind(cls): - return FIRESTORE_IDENTIFIER - - def __init__(self, client: AsyncClient): - self.__client = client - self.__policies_collection = AsyncQuery(self.__client.collection("policies")) - self.__amenities_collection = AsyncQuery(self.__client.collection("amenities")) - - @classmethod - async def create(cls, config: Config) -> "Client": - return cls(AsyncClient(project=config.projectId)) - - async def __delete_collections( - self, collection_list: list[AsyncCollectionReference] - ): - # Checks if collection exists and deletes all documents - delete_tasks = [] - for collection_ref in collection_list: - collection_exists = collection_ref.limit(1).stream() - if not collection_exists: - continue - - docs = collection_ref.stream() - async for doc in docs: - delete_tasks.append(asyncio.create_task(doc.reference.delete())) - await asyncio.gather(*delete_tasks) - - async def parse_index_info(self, line: str) -> tuple[str, str]: - # Extract collection and index-id from file path - parts = line.split("/") - collection_name = parts[-3] - index_id = parts[-1] - return collection_name, index_id - - async def __get_indices(self) -> dict[str, str]: - list_vector_index_process = await asyncio.create_subprocess_exec( - "gcloud", - "alpha", - "firestore", - "indexes", - "composite", - "list", - "--database=(default)", - "--format=value(name)", # prints name field - stdout=asyncio.subprocess.PIPE, - ) - - # Capture output and ignore stderr - stdout, __ = await list_vector_index_process.communicate() - - # Decode and format output - index_lines = stdout.decode().strip().split("\n") - - indices = {} - - # Create a dict with collections and their corresponding vector index. - for line in index_lines: - if line: - collection, index_id = await self.parse_index_info(line) - indices[collection] = index_id - - return indices - - async def __delete_vector_index(self, indices: list[str]): - # Check if the collection exists and deletes all indexes - for index in indices: - if index: - delete_vector_index = await asyncio.create_subprocess_exec( - "gcloud", - "alpha", - "firestore", - "indexes", - "composite", - "delete", - index, - "--database=(default)", - "--quiet", # Added to suppress delete warning - ) - await delete_vector_index.wait() - - async def __create_vector_index(self, collection_name: str): - create_vector_index = await asyncio.create_subprocess_exec( - "gcloud", - "alpha", - "firestore", - "indexes", - "composite", - "create", - f"--collection-group={collection_name}", - "--query-scope=COLLECTION", - '--field-config=field-path=embedding,vector-config={"dimension":768,"flat":"{}"}', - "--database=(default)", - ) - await create_vector_index.wait() - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - # Check if the collections already exist; if so, delete collections - airports_ref = self.__client.collection("airports") - amenities_ref = self.__client.collection("amenities") - flights_ref = self.__client.collection("flights") - policies_ref = self.__client.collection("policies") - await self.__delete_collections( - [airports_ref, amenities_ref, flights_ref, policies_ref] - ) - - # Retrieve vector indexes and check if the collections already exist; if so, delete collections - indices = await self.__get_indices() - amenities_ref = indices.get("amenities", "") - policies_ref = indices.get("policies", "") - await self.__delete_vector_index([amenities_ref, policies_ref]) - - # Initialize collections - create_airports_tasks = [] - for airport in airports: - create_airports_tasks.append( - self.__client.collection("airports") - .document(str(airport.id)) - .set( - { - "iata": airport.iata, - "name": airport.name, - "city": airport.city, - "country": airport.country, - } - ) - ) - await asyncio.gather(*create_airports_tasks) - create_amenities_tasks = [] - for amenity in amenities: - create_amenities_tasks.append( - self.__client.collection("amenities") - .document(str(amenity.id)) - .set( - { - "name": amenity.name, - "description": amenity.description, - "location": amenity.location, - "terminal": amenity.terminal, - "category": amenity.category, - "hour": amenity.hour, - # Firebase does not support datetime.time type - "sunday_start_hour": ( - str(amenity.sunday_start_hour) - if amenity.sunday_start_hour - else None - ), - "sunday_end_hour": ( - str(amenity.sunday_end_hour) - if amenity.sunday_end_hour - else None - ), - "monday_start_hour": ( - str(amenity.monday_start_hour) - if amenity.monday_start_hour - else None - ), - "monday_end_hour": ( - str(amenity.monday_end_hour) - if amenity.monday_end_hour - else None - ), - "tuesday_start_hour": ( - str(amenity.tuesday_start_hour) - if amenity.tuesday_start_hour - else None - ), - "tuesday_end_hour": ( - str(amenity.tuesday_end_hour) - if amenity.tuesday_end_hour - else None - ), - "wednesday_start_hour": ( - str(amenity.wednesday_start_hour) - if amenity.wednesday_start_hour - else None - ), - "wednesday_end_hour": ( - str(amenity.wednesday_end_hour) - if amenity.wednesday_end_hour - else None - ), - "thursday_start_hour": ( - str(amenity.thursday_start_hour) - if amenity.thursday_start_hour - else None - ), - "thursday_end_hour": ( - str(amenity.thursday_end_hour) - if amenity.thursday_end_hour - else None - ), - "friday_start_hour": ( - str(amenity.friday_start_hour) - if amenity.friday_start_hour - else None - ), - "friday_end_hour": ( - str(amenity.friday_end_hour) - if amenity.friday_end_hour - else None - ), - "saturday_start_hour": ( - str(amenity.saturday_start_hour) - if amenity.saturday_start_hour - else None - ), - "saturday_end_hour": ( - str(amenity.saturday_end_hour) - if amenity.saturday_end_hour - else None - ), - "content": amenity.content, - # Vector type does not support None value - "embedding": Vector(amenity.embedding or []), - } - ) - ) - await asyncio.gather(*create_amenities_tasks) - create_flights_tasks = [] - for flight in flights: - create_flights_tasks.append( - self.__client.collection("flights") - .document(str(flight.id)) - .set( - { - "airline": flight.airline, - "flight_number": flight.flight_number, - "departure_airport": flight.departure_airport, - "arrival_airport": flight.arrival_airport, - "departure_time": flight.departure_time.strftime( - "%Y-%m-%d %H:%M:%S" - ), - "arrival_time": flight.arrival_time.strftime( - "%Y-%m-%d %H:%M:%S" - ), - "departure_gate": flight.departure_gate, - "arrival_gate": flight.arrival_gate, - } - ) - ) - if len(create_flights_tasks) % 10000 == 0: - # avoid gRPC batch write timeout error - await asyncio.gather(*create_flights_tasks) - create_flights_tasks.clear() - await asyncio.gather(*create_flights_tasks) - create_policies_tasks = [] - for policy in policies: - create_policies_tasks.append( - self.__client.collection("policies") - .document(str(policy.id)) - .set( - { - "content": policy.content, - # Vector type does not accept None value - "embedding": Vector(policy.embedding or []), - } - ) - ) - await asyncio.gather(*create_policies_tasks) - - # Initialize single-field vector indexes - await self.__create_vector_index("amenities") - await self.__create_vector_index("policies") - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - airport_docs = self.__client.collection("airports").stream() - amenities_docs = self.__client.collection("amenities").stream() - flights_docs = self.__client.collection("flights").stream() - policies_docs = self.__client.collection("policies").stream() - - airports = [] - async for doc in airport_docs: - airport_dict = doc.to_dict() - airport_dict["id"] = doc.id - airports.append(models.Airport.model_validate(airport_dict)) - - amenities = [] - async for doc in amenities_docs: - amenity_dict = doc.to_dict() - amenity_dict["id"] = doc.id - amenity_dict["embedding"] = list(amenity_dict["embedding"]) - amenities.append(models.Amenity.model_validate(amenity_dict)) - - flights = [] - async for doc in flights_docs: - flight_dict = doc.to_dict() - flight_dict["id"] = doc.id - flights.append(models.Flight.model_validate(flight_dict)) - - policies = [] - async for doc in policies_docs: - policy_dict = doc.to_dict() - policy_dict["id"] = doc.id - policy_dict["embedding"] = list(policy_dict["embedding"]) - policies.append(models.Policy.model_validate(policy_dict)) - - return airports, amenities, flights, policies - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - query = self.__client.collection("airports").where( - filter=FieldFilter("id", "==", id) - ) - airport_doc = await query.get() - airport_dict = airport_doc.to_dict() | {"id": airport_doc.id} - return models.Airport.model_validate(airport_dict), None - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - query = self.__client.collection("airports").where( - filter=FieldFilter("iata", "==", iata) - ) - airport_doc = await query.get() - airport_dict = airport_doc.to_dict() | {"id": airport_doc.id} - return models.Airport.model_validate(airport_dict), None - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - query = self.__client.collection("airports") - - if country is not None: - query = query.where("country", "==", country) - - if city is not None: - query = query.where("city", "==", city) - - if name is not None: - query = query.where("name", ">=", name).where("name", "<=", name + "\uf8ff") - - query = query.limit(10) - - docs = query.stream() - airports = [] - async for doc in docs: - airport_dict = doc.to_dict() | {"id": doc.id} - airports.append(models.Airport.model_validate(airport_dict)) - return airports, None - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - query = self.__client.collection("amenities").where( - filter=FieldFilter("id", "==", id) - ) - amenity_doc = await query.get() - amenity_dict = amenity_doc.to_dict() | {"id": amenity_doc.id} - amenity_dict["embedding"] = list(amenity_dict["embedding"]) - return models.Amenity.model_validate(amenity_dict), None - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - # Using the same similarity metric to the embedding model's training method - # produce the most accurate result - query = self.__amenities_collection.find_nearest( - vector_field="embedding", - query_vector=Vector(query_embedding), - distance_measure=DistanceMeasure.DOT_PRODUCT, - limit=top_k, - ) - - docs = query.stream() - amenities = [] - async for doc in docs: - amenity_dict = { - "id": doc.id, - "category": doc.get("category"), - "description": doc.get("description"), - "hour": doc.get("hour"), - "location": doc.get("location"), - "name": doc.get("name"), - "terminal": doc.get("terminal"), - } - amenities.append(amenity_dict) - return amenities, None - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - query = self.__client.collection("flights").where( - filter=FieldFilter("id", "==", flight_id) - ) - flight_doc = await query.get() - flight_dict = flight_doc.to_dict() | {"id": flight_doc.id} - return models.Flight.model_validate(flight_dict), None - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - query = ( - self.__client.collection("flights") - .where(filter=FieldFilter("airline", "==", airline)) - .where(filter=FieldFilter("flight_number", "==", number)) - .limit(10) - ) - - docs = query.stream() - flights = [] - async for doc in docs: - flight_dict = doc.to_dict() | {"id": doc.id} - flights.append(models.Flight.model_validate(flight_dict)) - return flights, None - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - date_obj = datetime.strptime(date, "%Y-%m-%d").date() - date_timestamp = datetime.combine(date_obj, datetime.min.time()) - query = ( - self.__client.collection("flights") - .where("departure_time", ">=", date_timestamp) - .where("departure_time", "<", date_timestamp + timedelta(days=1)) - .limit(10) - ) - - if departure_airport is None: - query = query.where("departure_airport", "==", departure_airport) - if arrival_airport is None: - query = query.where("arrival_airport", "==", arrival_airport) - - docs = query.stream() - flights = [] - async for doc in docs: - flight_dict = doc.to_dict() | {"id": doc.id} - flights.append(models.Flight.model_validate(flight_dict)) - return flights, None - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - raise NotImplementedError("Not Implemented") - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - raise NotImplementedError("Not Implemented") - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - raise NotImplementedError("Not Implemented") - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - query = self.__policies_collection.find_nearest( - vector_field="embedding", - query_vector=Vector(query_embedding), - distance_measure=DistanceMeasure.DOT_PRODUCT, - limit=top_k, - ) - - policies = [] - async for doc in query.stream(): - policies.append(doc.get("content")) - return policies, None - - async def close(self): - self.__client.close() diff --git a/retrieval_service/datastore/providers/firestore_test.py b/retrieval_service/datastore/providers/firestore_test.py deleted file mode 100644 index 8badd0401..000000000 --- a/retrieval_service/datastore/providers/firestore_test.py +++ /dev/null @@ -1,317 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime -from typing import Dict - -from google.cloud.firestore import AsyncClient, Client # type: ignore -from google.cloud.firestore_v1.base_query import FieldFilter - -import models - -from . import firestore as firestore_provider - - -class MockDocument(Dict): - """ - Mock firestore document. - """ - - id: int - content: Dict - - def __init(self, id, content): - self.id = id - self.content = content - - def to_dict(self): - return self.content - - -class MockCollection(Dict): - """ - Mock firestore collection. - """ - - collection_name: str - documents = Dict[str, MockDocument] - - def __init__(self, collection_name: str): - self.collection_name = collection_name - - def where(self, filter: FieldFilter): - return self.documents - - def select(self, *args): - return self.documents - - -class MockFirestoreClient(AsyncClient): - """ - Mock firestore client. - """ - - collections: Dict[str, MockCollection] - - def __init__(self): - self.collections = {} - - def collection(self, collection_name: str): - return self.collections[collection_name] - - -async def mock_client(mock_firestore_client: MockFirestoreClient) -> Client: - return firestore_provider.Client(mock_firestore_client) - - -async def test_get_airport_by_id(): - fake_id = 1 - mock_document = MockDocument( - fake_id, - { - "iata": "Fake iata", - "name": "Fake name", - "city": "Fake city", - "country": "Fake country", - }, - ) - mock_collection = MockCollection("airports") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["airports"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.get_airport_by_id(fake_id) - expected_res = models.Airport( - id=fake_id, - iata="Fake iata", - name="Fake name", - city="Fake city", - country="Fake country", - ) - assert res == expected_res - - -async def test_get_airport_by_iata(): - fake_id = 1 - fake_iata = "Fake iata" - mock_document = MockDocument( - fake_id, - { - "iata": fake_iata, - "name": "Fake name", - "city": "Fake city", - "country": "Fake country", - }, - ) - mock_collection = MockCollection("airports") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["airports"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.get_airport_by_iata(fake_iata) - expected_res = models.Airport( - id=fake_id, - iata=fake_iata, - name="Fake name", - city="Fake city", - country="Fake country", - ) - assert res == expected_res - - -async def test_search_airports(): - fake_id = 3 - fake_name = "Fake name" - fake_country = "Fake country" - fake_city = "Fake city" - mock_document = MockDocument( - fake_id, - { - "iata": "Fake iata", - "name": fake_name, - "city": fake_city, - "country": fake_country, - }, - ) - mock_collection = MockCollection("airports") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["airports"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.search_airports(fake_country, fake_city, fake_name) - expected_res = [ - models.Airport( - id=fake_id, - iata="Fake iata", - name=fake_name, - city=fake_city, - country=fake_country, - ) - ] - - assert res == expected_res - - -async def test_get_amenity(): - fake_id = 2 - mock_document = MockDocument( - fake_id, - { - "name", - "Fake name", - "description", - "Fake description", - "location", - "Fake location", - "terminal", - "Fake terminal", - "category", - "Fake category", - "hour", - "Fake hour", - }, - ) - mock_collection = MockCollection("amenities") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["amenities"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.get_amenity(fake_id) - expected_res = models.Amenity( - id=fake_id, - name="Fake name", - description="Fake description", - location="Fake location", - terminal="Fake terminal", - category="Fake category", - hour="Fake hour", - ) - assert res == expected_res - - -async def test_amenities_search(): - fake_id = 3 - mock_document = MockDocument( - fake_id, - { - "name": "Fake name", - "description": "Fake description", - "location": "Fake location", - "terminal": "Fake terminal", - "category": "Fake category", - "hour": "Fake hour", - }, - ) - mock_collection = MockCollection("amenities") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["amenities"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.amenities_search(1, 0.7, 1) - expected_res = [ - models.Amenity( - id=fake_id, - name="Fake name", - description="Fake description", - location="Fake location", - terminal="Fake terminal", - category="Fake category", - hour="Fake hour", - ) - ] - assert res == expected_res - - -async def test_get_flight(): - fake_id = 4 - fake_datetime = datetime.datetime(2023, 11, 14, 12, 30, 45) - mock_document = MockDocument( - fake_id, - { - "airline": "Fake airline", - "flight_number": "Fake flight number", - "departure_airport": "Fake departure airport", - "arrival_airport": "Fake arrival airport", - "departure_time": fake_datetime, - "arrival_time": fake_datetime, - "departure_gate": "fake departure gate", - "arrival_gate": "fake arrival gate", - }, - ) - mock_collection = MockCollection("flights") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["flights"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.get_flight(fake_id) - expected_res = models.Flight( - id=fake_id, - airline="Fake airline", - flight_number="Fake flight number", - departure_airport="Fake departure airport", - arrival_airport="Fake arrival airport", - departure_time=fake_datetime, - arrival_time=fake_datetime, - departure_gate="fake departure gate", - arrival_gate="fake arrival gate", - ) - assert res == expected_res - - -async def test_search_flights_by_airports(): - fake_id = 5 - fake_date = "2023-11-14" - fake_datetime = datetime.datetime(2023, 11, 14, 12, 30, 45) - mock_document = MockDocument( - fake_id, - { - "airline": "Fake airline", - "flight_number": "Fake flight number", - "departure_airport": "Fake departure airport", - "arrival_airport": "Fake arrival airport", - "departure_time": fake_datetime, - "arrival_time": fake_datetime, - "departure_gate": "fake departure gate", - "arrival_gate": "fake arrival gate", - }, - ) - mock_collection = MockCollection("flights") - mock_collection.documents[fake_id, mock_document] - mock_firestore_client = MockFirestoreClient() - mock_firestore_client.collection["flights"] = mock_collection - - mock_client = await mock_client(mock_firestore_client) - res = await mock_client.search_flights_by_airport( - fake_date, "Fake departure airport", "Fake arrival airport" - ) - expected_res = [ - models.Flight( - id=fake_id, - airline="Fake airline", - flight_number="Fake flight number", - departure_airport="Fake departure airport", - arrival_airport="Fake arrival airport", - departure_time=fake_datetime, - arrival_time=fake_datetime, - departure_gate="fake departure gate", - arrival_gate="fake arrival gate", - ) - ] - assert res == expected_res diff --git a/retrieval_service/datastore/providers/postgres.py b/retrieval_service/datastore/providers/postgres.py deleted file mode 100644 index a806f01b5..000000000 --- a/retrieval_service/datastore/providers/postgres.py +++ /dev/null @@ -1,614 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio -from datetime import datetime -from ipaddress import IPv4Address, IPv6Address -from typing import Any, Literal, Optional - -import asyncpg -from pgvector.asyncpg import register_vector -from pydantic import BaseModel -from sqlalchemy import text -from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine - -import models - -from .. import datastore -from ..helpers import format_sql - -POSTGRES_IDENTIFIER = "postgres" - - -class Config(BaseModel, datastore.AbstractConfig): - kind: Literal["postgres"] - host: IPv4Address | IPv6Address = IPv4Address("127.0.0.1") - port: int = 5432 - user: str - password: str - database: str - - -class Client(datastore.Client[Config]): - __async_engine: AsyncEngine - - @datastore.classproperty - def kind(cls): - return POSTGRES_IDENTIFIER - - def __init__(self, async_engine: AsyncEngine): - self.__async_engine = async_engine - - @classmethod - async def create(cls, config: Config) -> "Client": - async def getconn() -> asyncpg.Connection: - conn: asyncpg.Connection = await asyncpg.connection.connect( - host=str(config.host), - user=config.user, - password=config.password, - database=config.database, - port=config.port, - ) - await register_vector(conn) - return conn - - async_engine = create_async_engine( - "postgresql+asyncpg://", - async_creator=getconn, - ) - if async_engine is None: - raise TypeError("async_engine not instantiated") - return cls(async_engine) - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - async with self.__async_engine.connect() as conn: - # If the table already exists, drop it to avoid conflicts - await conn.execute(text("DROP TABLE IF EXISTS airports CASCADE")) - # Create a new table - await conn.execute( - text( - """ - CREATE TABLE airports( - id INT PRIMARY KEY, - iata TEXT, - name TEXT, - city TEXT, - country TEXT - ) - """ - ) - ) - # Insert all the data - await conn.execute( - text( - """INSERT INTO airports VALUES (:id, :iata, :name, :city, :country)""" - ), - [ - { - "id": a.id, - "iata": a.iata, - "name": a.name, - "city": a.city, - "country": a.country, - } - for a in airports - ], - ) - - await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) - # If the table already exists, drop it to avoid conflicts - await conn.execute(text("DROP TABLE IF EXISTS amenities CASCADE")) - # Create a new table - await conn.execute( - text( - """ - CREATE TABLE amenities( - id INT PRIMARY KEY, - name TEXT, - description TEXT, - location TEXT, - terminal TEXT, - category TEXT, - hour TEXT, - sunday_start_hour TIME, - sunday_end_hour TIME, - monday_start_hour TIME, - monday_end_hour TIME, - tuesday_start_hour TIME, - tuesday_end_hour TIME, - wednesday_start_hour TIME, - wednesday_end_hour TIME, - thursday_start_hour TIME, - thursday_end_hour TIME, - friday_start_hour TIME, - friday_end_hour TIME, - saturday_start_hour TIME, - saturday_end_hour TIME, - content TEXT NOT NULL, - embedding vector(768) NOT NULL - ) - """ - ) - ) - # Insert all the data - await conn.execute( - text( - """ - INSERT INTO amenities VALUES (:id, :name, :description, :location, - :terminal, :category, :hour, :sunday_start_hour, :sunday_end_hour, - :monday_start_hour, :monday_end_hour, :tuesday_start_hour, - :tuesday_end_hour, :wednesday_start_hour, :wednesday_end_hour, - :thursday_start_hour, :thursday_end_hour, :friday_start_hour, - :friday_end_hour, :saturday_start_hour, :saturday_end_hour, :content, :embedding) - """ - ), - [ - { - "id": a.id, - "name": a.name, - "description": a.description, - "location": a.location, - "terminal": a.terminal, - "category": a.category, - "hour": a.hour, - "sunday_start_hour": a.sunday_start_hour, - "sunday_end_hour": a.sunday_end_hour, - "monday_start_hour": a.monday_start_hour, - "monday_end_hour": a.monday_end_hour, - "tuesday_start_hour": a.tuesday_start_hour, - "tuesday_end_hour": a.tuesday_end_hour, - "wednesday_start_hour": a.wednesday_start_hour, - "wednesday_end_hour": a.wednesday_end_hour, - "thursday_start_hour": a.thursday_start_hour, - "thursday_end_hour": a.thursday_end_hour, - "friday_start_hour": a.friday_start_hour, - "friday_end_hour": a.friday_end_hour, - "saturday_start_hour": a.saturday_start_hour, - "saturday_end_hour": a.saturday_end_hour, - "content": a.content, - "embedding": a.embedding, - } - for a in amenities - ], - ) - - # If the table already exists, drop it to avoid conflicts - await conn.execute(text("DROP TABLE IF EXISTS flights CASCADE")) - # Create a new table - await conn.execute( - text( - """ - CREATE TABLE flights( - id INTEGER PRIMARY KEY, - airline TEXT, - flight_number TEXT, - departure_airport TEXT, - arrival_airport TEXT, - departure_time TIMESTAMP, - arrival_time TIMESTAMP, - departure_gate TEXT, - arrival_gate TEXT - ) - """ - ) - ) - # Insert all the data - await conn.execute( - text( - """ - INSERT INTO flights VALUES (:id, :airline, :flight_number, - :departure_airport, :arrival_airport, :departure_time, - :arrival_time, :departure_gate, :arrival_gate) - """ - ), - [ - { - "id": f.id, - "airline": f.airline, - "flight_number": f.flight_number, - "departure_airport": f.departure_airport, - "arrival_airport": f.arrival_airport, - "departure_time": f.departure_time, - "arrival_time": f.arrival_time, - "departure_gate": f.departure_gate, - "arrival_gate": f.arrival_gate, - } - for f in flights - ], - ) - - # If the table already exists, drop it to avoid conflicts - await conn.execute(text("DROP TABLE IF EXISTS tickets CASCADE")) - # Create a new table - await conn.execute( - text( - """ - CREATE TABLE tickets( - user_id TEXT, - user_name TEXT, - user_email TEXT, - airline TEXT, - flight_number TEXT, - departure_airport TEXT, - arrival_airport TEXT, - departure_time TIMESTAMP, - arrival_time TIMESTAMP - ) - """ - ) - ) - - # If the table already exists, drop it to avoid conflicts - await conn.execute(text("DROP TABLE IF EXISTS policies CASCADE")) - # Create a new table - await conn.execute( - text( - """ - CREATE TABLE policies( - id INT PRIMARY KEY, - content TEXT NOT NULL, - embedding vector(768) NOT NULL - ) - """ - ) - ) - # Insert all the data - await conn.execute( - text( - """ - INSERT INTO policies VALUES (:id, :content, :embedding) - """ - ), - [ - { - "id": p.id, - "content": p.content, - "embedding": p.embedding, - } - for p in policies - ], - ) - await conn.commit() - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - async with self.__async_engine.connect() as conn: - airport_task = asyncio.create_task( - conn.execute(text("""SELECT * FROM airports ORDER BY id ASC""")) - ) - amenity_task = asyncio.create_task( - conn.execute(text("""SELECT * FROM amenities ORDER BY id ASC""")) - ) - flights_task = asyncio.create_task( - conn.execute(text("""SELECT * FROM flights ORDER BY id ASC""")) - ) - policy_task = asyncio.create_task( - conn.execute(text("""SELECT * FROM policies ORDER BY id ASC""")) - ) - - airport_results = (await airport_task).mappings().fetchall() - amenity_results = (await amenity_task).mappings().fetchall() - flights_results = (await flights_task).mappings().fetchall() - policy_results = (await policy_task).mappings().fetchall() - - airports = [models.Airport.model_validate(a) for a in airport_results] - amenities = [models.Amenity.model_validate(a) for a in amenity_results] - flights = [models.Flight.model_validate(f) for f in flights_results] - policies = [models.Policy.model_validate(p) for p in policy_results] - - return airports, amenities, flights, policies - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """SELECT * FROM airports WHERE id=:id""" - s = text(sql) - params = {"id": id} - result = (await conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Airport.model_validate(result) - return res, format_sql(sql, params) - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """SELECT * FROM airports WHERE iata ILIKE :iata""" - s = text(sql) - params = {"iata": iata} - result = (await conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Airport.model_validate(result) - return res, format_sql(sql, params) - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT * FROM airports - WHERE (CAST(:country AS TEXT) IS NULL OR country ILIKE :country) - AND (CAST(:city AS TEXT) IS NULL OR city ILIKE :city) - AND (CAST(:name AS TEXT) IS NULL OR name ILIKE '%' || :name || '%') - LIMIT 10 - """ - s = text(sql) - params = { - "country": country, - "city": city, - "name": name, - } - results = (await conn.execute(s, params)).mappings().fetchall() - - res = [models.Airport.model_validate(r) for r in results] - return res, format_sql(sql, params) - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT id, name, description, location, terminal, category, hour - FROM amenities WHERE id=:id - """ - s = text(sql) - params = {"id": id} - result = (await conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Amenity.model_validate(result) - return res, format_sql(sql, params) - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT name, description, location, terminal, category, hour - FROM amenities - WHERE (embedding <=> :query_embedding) < :similarity_threshold - ORDER BY (embedding <=> :query_embedding) - LIMIT :top_k - """ - s = text(sql) - params = { - "query_embedding": query_embedding, - "similarity_threshold": similarity_threshold, - "top_k": top_k, - } - results = (await conn.execute(s, params)).mappings().fetchall() - - res = [r for r in results] - return res, format_sql(sql, params) - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT * FROM flights - WHERE id = :flight_id - """ - s = text(sql) - params = {"flight_id": flight_id} - result = (await conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - - res = models.Flight.model_validate(result) - return res, format_sql(sql, params) - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT * FROM flights - WHERE airline = :airline - AND flight_number = :number - LIMIT 10 - """ - s = text(sql) - params = { - "airline": airline, - "number": number, - } - results = (await conn.execute(s, params)).mappings().fetchall() - - res = [models.Flight.model_validate(r) for r in results] - return res, format_sql(sql, params) - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT * FROM flights - WHERE (CAST(:departure_airport AS TEXT) IS NULL OR departure_airport ILIKE :departure_airport) - AND (CAST(:arrival_airport AS TEXT) IS NULL OR arrival_airport ILIKE :arrival_airport) - AND departure_time >= CAST(:datetime AS timestamp) - AND departure_time < CAST(:datetime AS timestamp) + interval '1 day' - LIMIT 10 - """ - s = text(sql) - params = { - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "datetime": datetime.strptime(date, "%Y-%m-%d"), - } - - results = (await conn.execute(s, params)).mappings().fetchall() - - res = [models.Flight.model_validate(r) for r in results] - return res, format_sql(sql, params) - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - departure_time_datetime = datetime.strptime(departure_time, "%Y-%m-%d %H:%M:%S") - async with self.__async_engine.connect() as conn: - sql = """ - SELECT * FROM flights - WHERE airline ILIKE :airline - AND flight_number ILIKE :flight_number - AND departure_airport ILIKE :departure_airport - AND departure_time = :departure_time - """ - s = text(sql) - params = { - "airline": airline, - "flight_number": flight_number, - "departure_airport": departure_airport, - "departure_time": departure_time_datetime, - } - result = (await conn.execute(s, params)).mappings().fetchone() - - if result is None: - return None, None - res = models.Flight.model_validate(result) - return res, format_sql(sql, params) - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - departure_time_datetime = datetime.strptime(departure_time, "%Y-%m-%d %H:%M:%S") - arrival_time_datetime = datetime.strptime(arrival_time, "%Y-%m-%d %H:%M:%S") - - async with self.__async_engine.connect() as conn: - s = text( - """ - INSERT INTO tickets ( - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time, - arrival_time - ) VALUES ( - :user_id, - :user_name, - :user_email, - :airline, - :flight_number, - :departure_airport, - :arrival_airport, - :departure_time, - :arrival_time - ); - """ - ) - params = { - "user_id": user_id, - "user_name": user_name, - "user_email": user_email, - "airline": airline, - "flight_number": flight_number, - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "departure_time": departure_time_datetime, - "arrival_time": arrival_time_datetime, - } - result = (await conn.execute(s, params)).mappings() - await conn.commit() - if not result: - raise Exception("Ticket Insertion failure") - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT user_name, airline, flight_number, departure_airport, arrival_airport, departure_time, arrival_time FROM tickets - WHERE user_id = :user_id - """ - s = text(sql) - params = { - "user_id": user_id, - } - results = (await conn.execute(s, params)).mappings().fetchall() - - res = [r for r in results] - return res, format_sql(sql, params) - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - async with self.__async_engine.connect() as conn: - sql = """ - SELECT content - FROM policies - WHERE (embedding <=> :query_embedding) < :similarity_threshold - ORDER BY (embedding <=> :query_embedding) - LIMIT :top_k - """ - s = text(sql) - params = { - "query_embedding": query_embedding, - "similarity_threshold": similarity_threshold, - "top_k": top_k, - } - results = (await conn.execute(s, params)).mappings().fetchall() - - res = [r["content"] for r in results] - return res, format_sql(sql, params) - - async def close(self): - await self.__async_engine.dispose() diff --git a/retrieval_service/datastore/providers/postgres_test.py b/retrieval_service/datastore/providers/postgres_test.py deleted file mode 100644 index 0c4cec94c..000000000 --- a/retrieval_service/datastore/providers/postgres_test.py +++ /dev/null @@ -1,651 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime -from ipaddress import IPv4Address -from typing import Any, AsyncGenerator, List - -import pytest -import pytest_asyncio -from csv_diff import compare, load_csv # type: ignore - -import models - -from .. import datastore -from . import postgres -from .test_data import ( - amenities_query_embedding1, - amenities_query_embedding2, - foobar_query_embedding, - policies_query_embedding1, - policies_query_embedding2, -) -from .utils import get_env_var - -pytestmark = pytest.mark.asyncio(scope="module") - - -@pytest.fixture(scope="module") -def db_user() -> str: - return get_env_var("DB_USER", "name of a postgres user") - - -@pytest.fixture(scope="module") -def db_pass() -> str: - return get_env_var("DB_PASS", "password for the postgres user") - - -@pytest.fixture(scope="module") -def db_name() -> str: - return get_env_var("DB_NAME", "name of a postgres database") - - -@pytest.fixture(scope="module") -def db_host() -> str: - return get_env_var("DB_HOST", "ip address of a postgres database") - - -@pytest_asyncio.fixture(scope="module") -async def ds( - db_user: str, db_pass: str, db_name: str, db_host: str -) -> AsyncGenerator[datastore.Client, None]: - cfg = postgres.Config( - kind="postgres", - user=db_user, - password=db_pass, - database=db_name, - host=IPv4Address(db_host), - ) - ds = await datastore.create(cfg) - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, - amenities_ds_path, - flights_ds_path, - policies_ds_path, - ) - await ds.initialize_data(airports, amenities, flights, policies) - - if ds is None: - raise TypeError("datastore creation failure") - yield ds - await ds.close() - - -def check_file_diff(file_diff): - assert file_diff["added"] == [] - assert file_diff["removed"] == [] - assert file_diff["changed"] == [] - assert file_diff["columns_added"] == [] - assert file_diff["columns_removed"] == [] - - -async def test_export_dataset(ds: postgres.Client): - airports, amenities, flights, policies = await ds.export_data() - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - diff_airports = compare( - load_csv(open(airports_ds_path), "id"), load_csv(open(airports_new_path), "id") - ) - check_file_diff(diff_airports) - - diff_amenities = compare( - load_csv(open(amenities_ds_path), "id"), - load_csv(open(amenities_new_path), "id"), - ) - check_file_diff(diff_amenities) - - diff_flights = compare( - load_csv(open(flights_ds_path), "id"), load_csv(open(flights_new_path), "id") - ) - check_file_diff(diff_flights) - - diff_policies = compare( - load_csv(open(policies_ds_path), "id"), - load_csv(open(policies_new_path), "id"), - ) - check_file_diff(diff_policies) - - -async def test_get_airport_by_id(ds: postgres.Client): - res, sql = await ds.get_airport_by_id(1) - expected = models.Airport( - id=1, - iata="MAG", - name="Madang Airport", - city="Madang", - country="Papua New Guinea", - ) - assert res == expected - assert sql is not None - - -@pytest.mark.parametrize( - "iata", - [ - pytest.param("SFO", id="upper_case"), - pytest.param("sfo", id="lower_case"), - ], -) -async def test_get_airport_by_iata(ds: postgres.Client, iata: str): - res, sql = await ds.get_airport_by_iata(iata) - expected = models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - assert res == expected - assert sql is not None - - -search_airports_test_data = [ - pytest.param( - "Philippines", - "San jose", - None, - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=2313, - iata="EUQ", - name="Evelio Javier Airport", - city="San Jose", - country="Philippines", - ), - ], - id="country_and_city_only", - ), - pytest.param( - "united states", - "san francisco", - None, - [ - models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - ], - id="country_and_name_only", - ), - pytest.param( - None, - "San Jose", - "San Jose", - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=3548, - iata="SJC", - name="Norman Y. Mineta San Jose International Airport", - city="San Jose", - country="United States", - ), - ], - id="city_and_name_only", - ), - pytest.param( - "Foo", - "FOO BAR", - "Foo bar", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize("country, city, name, expected", search_airports_test_data) -async def test_search_airports( - ds: postgres.Client, - country: str, - city: str, - name: str, - expected: List[models.Airport], -): - res, sql = await ds.search_airports(country, city, name) - assert res == expected - assert sql is not None - - -async def test_get_amenity(ds: postgres.Client): - res, sql = await ds.get_amenity(0) - expected = models.Amenity( - id=0, - name="Coffee Shop 732", - description="Serving American cuisine.", - location="Near Gate B12", - terminal="Terminal 3", - category="restaurant", - hour="Daily 7:00 am - 10:00 pm", - sunday_start_hour=None, - sunday_end_hour=None, - monday_start_hour=None, - monday_end_hour=None, - tuesday_start_hour=None, - tuesday_end_hour=None, - wednesday_start_hour=None, - wednesday_end_hour=None, - thursday_start_hour=None, - thursday_end_hour=None, - friday_start_hour=None, - friday_end_hour=None, - saturday_start_hour=None, - saturday_end_hour=None, - ) - assert res == expected - assert sql is not None - - -amenities_search_test_data = [ - pytest.param( - # "Where can I get coffee near gate A6?" - amenities_query_embedding1, - 0.35, - 1, - [ - { - "name": "Coffee Shop 732", - "description": "Serving American cuisine.", - "location": "Near Gate B12", - "terminal": "Terminal 3", - "category": "restaurant", - "hour": "Daily 7:00 am - 10:00 pm", - } - ], - id="search_coffee_shop", - ), - pytest.param( - # "Where can I look for luxury goods?" - amenities_query_embedding2, - 0.35, - 2, - [ - { - "name": "Gucci Duty Free", - "description": "Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.", - "location": "Gate E9", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - { - "name": "Hermes Duty Free", - "description": "High-end French brand duty-free shop offering luxury goods and accessories.", - "location": "Gate E18", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - ], - id="search_luxury_goods", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.1, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", amenities_search_test_data -) -async def test_amenities_search( - ds: postgres.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[Any], -): - res, sql = await ds.amenities_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is not None - - -async def test_get_flight(ds: postgres.Client): - res, sql = await ds.get_flight(1) - expected = models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime("2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S"), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ) - assert res == expected - assert sql is not None - - -search_flights_by_number_test_data = [ - pytest.param( - "UA", - "1158", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=55455, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2025-10-15 05:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-10-15 08:40:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="B50", - arrival_gate="E4", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "UU", - "0000", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "airline, number, expected", search_flights_by_number_test_data -) -async def test_search_flights_by_number( - ds: postgres.Client, airline: str, number: str, expected: List[models.Flight] -): - res, sql = await ds.search_flights_by_number(airline, number) - assert res == expected - assert sql is not None - - -search_flights_by_airports_test_data = [ - pytest.param( - "2025-01-01", - "SFO", - "ORD", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=13, - airline="UA", - flight_number="616", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 07:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 13:24:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="A11", - arrival_gate="D8", - ), - models.Flight( - id=25, - airline="AA", - flight_number="242", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 08:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 14:26:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E30", - arrival_gate="C1", - ), - models.Flight( - id=109, - airline="UA", - flight_number="1640", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:01:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:02:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E27", - arrival_gate="C24", - ), - models.Flight( - id=119, - airline="AA", - flight_number="197", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:21:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:33:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="D25", - arrival_gate="E49", - ), - models.Flight( - id=136, - airline="UA", - flight_number="1564", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 19:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-02 01:14:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E3", - arrival_gate="C48", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "2025-01-01", - "FOO", - "BAR", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "date, departure_airport, arrival_airport, expected", - search_flights_by_airports_test_data, -) -async def test_search_flights_by_airports( - ds: postgres.Client, - date: str, - departure_airport: str, - arrival_airport: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - assert res == expected - assert sql is not None - - -policies_search_test_data = [ - pytest.param( - # "What is the fee for extra baggage?" - policies_query_embedding1, - 0.35, - 1, - [ - "## Baggage\nChecked Baggage: Economy passengers are allowed 2 checked bags. Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.", - ], - id="search_extra_baggage_fee", - ), - pytest.param( - # "Can I change my flight?" - policies_query_embedding2, - 0.35, - 2, - [ - "Changes: Changes to tickets are permitted at any time until 60 minutes prior to scheduled departure. There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.", - "# Cymbal Air: Passenger Policy \n## Ticket Purchase and Changes\nTypes of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.", - ], - id="search_flight_delays", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.35, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", policies_search_test_data -) -async def test_policies_search( - ds: postgres.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[str], -): - res, sql = await ds.policies_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is not None - - -validate_ticket_data = [ - pytest.param( - { - "airline": "UA", - "flight_number": "1158", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:57:00", - }, - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ), - 'SELECT *
FROM flights
WHERE airline ILIKE UA
AND flight_number ILIKE 1158
AND departure_airport ILIKE SFO
AND departure_time = 2025-01-01 05:57:00', - ), - pytest.param( - { - "airline": "XX", - "flight_number": "9999", - "departure_airport": "ZZZ", - "departure_time": "2025-01-01 05:57:00", - }, - None, - None, - ), -] - - -@pytest.mark.parametrize("params, expected_data, expected_sql", validate_ticket_data) -async def test_validate_ticket( - ds: postgres.Client, params, expected_data, expected_sql -): - flight, sql = await ds.validate_ticket(**params) - assert flight == expected_data - assert sql == expected_sql diff --git a/retrieval_service/datastore/providers/spanner_gsql.py b/retrieval_service/datastore/providers/spanner_gsql.py deleted file mode 100644 index 459e393cd..000000000 --- a/retrieval_service/datastore/providers/spanner_gsql.py +++ /dev/null @@ -1,1004 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import datetime -from typing import Any, Literal, Optional - -from google.cloud import spanner # type: ignore -from google.cloud.spanner_v1 import JsonObject, param_types -from google.cloud.spanner_v1.database import Database -from google.cloud.spanner_v1.instance import Instance -from google.oauth2 import service_account # type: ignore -from pydantic import BaseModel - -import models - -from .. import datastore - -# Identifier for Spanner -SPANNER_IDENTIFIER = "spanner-gsql" - - -# Configuration model for Spanner -class Config(BaseModel, datastore.AbstractConfig): - """ - Configuration model for Spanner. - - Attributes: - kind (Literal["spanner"]): Type of datastore. - project (str): Google Cloud project ID. - instance (str): ID of the Spanner instance. - database (str): ID of the Spanner database. - service_account_key_file (str): Service Account Key File. - """ - - kind: Literal["spanner-gsql"] - project: str - instance: str - database: str - service_account_key_file: Optional[str] = None - - -# Client class for interacting with Spanner -class Client(datastore.Client[Config]): - OPERATION_TIMEOUT_SECONDS = 240 - BATCH_SIZE = 1000 - AIRPORT_COLUMNS = ["id", "iata", "name", "city", "country"] - AMENITIES_COLUMNS = [ - "id", - "name", - "description", - "location", - "terminal", - "category", - "hour", - "sunday_start_hour", - "sunday_end_hour", - "monday_start_hour", - "monday_end_hour", - "tuesday_start_hour", - "tuesday_end_hour", - "wednesday_start_hour", - "wednesday_end_hour", - "thursday_start_hour", - "thursday_end_hour", - "friday_start_hour", - "friday_end_hour", - "saturday_start_hour", - "saturday_end_hour", - "content", - "embedding", - ] - FLIGHTS_COLUMNS = [ - "id", - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - "departure_gate", - "arrival_gate", - ] - - POLICIES_COLUMNS = ["id", "content", "embedding"] - """ - Client class for interacting with Spanner. - - Attributes: - __client (spanner.Client): Spanner client instance. - __instance_id (str): ID of the Spanner instance. - __database_id (str): ID of the Spanner database. - __instance (Instance): Spanner instance. - __database (Database): Spanner database. - """ - - @datastore.classproperty - def kind(cls): - return SPANNER_IDENTIFIER - - def __init__(self, client: spanner.Client, instance_id: str, database_id: str): - """ - Initialize the Spanner client. - - Args: - client (spanner.Client): Spanner client instance. - instance_id (str): ID of the Spanner instance. - database_id (str): ID of the Spanner database. - """ - self.__client = client - self.__instance_id = instance_id - self.__database_id = database_id - - self.__instance = self.__client.instance(self.__instance_id) - self.__database = self.__instance.database(self.__database_id) - - @classmethod - async def create(cls, config: Config) -> "Client": - """ - Create a Spanner client. - - Args: - config (Config): Configuration for creating the client. - - Returns: - Client: Initialized Spanner client. - """ - client: spanner.Client - - if config.service_account_key_file is not None: - credentials = service_account.Credentials.from_service_account_file( - config.service_account_key_file - ) - client = spanner.Client(project=config.project, credentials=credentials) - else: - client = spanner.Client(project=config.project) - - instance_id = config.instance - instance = client.instance(instance_id) - - if not instance.exists(): - raise Exception(f"Instance with id: {instance_id} doesn't exist.") - - database_id = config.database - database = instance.database(database_id) - - if not database.exists(): - raise Exception(f"Database with id: {database_id} doesn't exist.") - - return cls(client, instance_id, database_id) - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - """ - Initialize data in the Spanner database by creating tables and inserting records. - - Args: - airports (list[models.Airport]): list of airports to be initialized. - amenities (list[models.Amenity]): list of amenities to be initialized. - flights (list[models.Flight]): list of flights to be initialized. - policies (list[models.Policy]): list of policies to be initialized. - Returns: - None - """ - # Initialize a list to store Data Definition Language (DDL) statements - ddl = [] - - # Create DDL statement to drop the 'airports' table if it exists - ddl.append("DROP TABLE IF EXISTS airports") - - # Create DDL statement to create the 'airports' table - ddl.append( - """ - CREATE TABLE airports( - id INT64, - iata STRING(MAX), - name STRING(MAX), - city STRING(MAX), - country STRING(MAX) - ) PRIMARY KEY(id) - """ - ) - - # Create DDL statement to drop the 'amenities' table if it exists - ddl.append("DROP TABLE IF EXISTS amenities") - - # Create DDL statement to create the 'amenities' table - ddl.append( - """ - CREATE TABLE amenities( - id INT64, - name STRING(MAX), - description STRING(MAX), - location STRING(MAX), - terminal STRING(MAX), - category STRING(MAX), - hour STRING(MAX), - sunday_start_hour STRING(100), - sunday_end_hour STRING(100), - monday_start_hour STRING(100), - monday_end_hour STRING(100), - tuesday_start_hour STRING(100), - tuesday_end_hour STRING(100), - wednesday_start_hour STRING(100), - wednesday_end_hour STRING(100), - thursday_start_hour STRING(100), - thursday_end_hour STRING(100), - friday_start_hour STRING(100), - friday_end_hour STRING(100), - saturday_start_hour STRING(100), - saturday_end_hour STRING(100), - content STRING(MAX) NOT NULL, - embedding ARRAY NOT NULL - ) PRIMARY KEY(id) - """ - ) - - # Create DDL statement to drop the 'flights' table if it exists - ddl.append("DROP TABLE IF EXISTS flights") - - # Create DDL statement to create the 'flights' table - ddl.append( - """ - CREATE TABLE flights( - id INT64, - airline STRING(MAX), - flight_number STRING(MAX), - departure_airport STRING(MAX), - arrival_airport STRING(MAX), - departure_time STRING(100), - arrival_time STRING(100), - departure_gate STRING(MAX), - arrival_gate STRING(MAX) - ) PRIMARY KEY(id) - """ - ) - - # Create DDL statement to drop the 'policies' table if it exists - ddl.append("DROP TABLE IF EXISTS policies") - - # Create DDL statement to create the 'policies' table - ddl.append( - """ - CREATE TABLE policies( - id INT64, - content STRING(MAX) NOT NULL, - embedding ARRAY NOT NULL - ) PRIMARY KEY(id) - """ - ) - - # Create DDL statement to drop the 'tickets' table if it exists - ddl.append("DROP TABLE IF EXISTS tickets") - - # Create DDL statement to create the 'tickets' table - ddl.append( - """ - CREATE TABLE tickets( - user_id STRING(MAX), - user_name STRING(MAX), - user_email STRING(MAX), - airline STRING(MAX), - flight_number STRING(MAX), - departure_airport STRING(MAX), - arrival_airport STRING(MAX), - departure_time STRING(100), - arrival_time STRING(100) - ) PRIMARY KEY(user_id, airline, flight_number, departure_time) - """ - ) - - # Update the schema using DDL statements - operation = self.__database.update_ddl(ddl) - - print("Waiting for schema update operation to complete...") - operation.result(self.OPERATION_TIMEOUT_SECONDS) - print("Schema update operation completed") - - # Insert data into 'airports' table using batch operation - - values = [ - tuple(getattr(airport, field) for field in self.AIRPORT_COLUMNS) - for airport in airports - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="airports", - columns=self.AIRPORT_COLUMNS, - values=records, - ) - - # Insert data into 'amenities' table using batch operation - values = [ - tuple( - ( - str(getattr(amenity, field)) - if isinstance(getattr(amenity, field), datetime.time) - else getattr(amenity, field) - ) - for field in self.AMENITIES_COLUMNS - ) - for amenity in amenities - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="amenities", - columns=self.AMENITIES_COLUMNS, - values=records, - ) - - # Insert data into 'flights' table using batch operation - values = [ - tuple( - ( - str(getattr(flight, field)) - if isinstance(getattr(flight, field), datetime.datetime) - else getattr(flight, field) - ) - for field in self.FLIGHTS_COLUMNS - ) - for flight in flights - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="flights", - columns=self.FLIGHTS_COLUMNS, - values=records, - ) - - # Insert data into 'policies' table using batch operation - values = [ - tuple(getattr(policy, field) for field in self.POLICIES_COLUMNS) - for policy in policies - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="policies", - columns=self.POLICIES_COLUMNS, - values=records, - ) - - # Return None to indicate successful initialization - return None - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - """ - Export data from the Spanner database. - - Returns: - tuple: A tuple containing lists of airports, amenities, flights, and policies. - """ - airports: list = [] - amenities: list = [] - flights: list = [] - policies: list = [] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - airport_results = snapshot.execute_sql( - "SELECT {} FROM airports ORDER BY id ASC".format( - ",".join(self.AIRPORT_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch airports: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in airport_results - ] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - amenity_results = snapshot.execute_sql( - "SELECT {} FROM amenities ORDER BY id ASC".format( - ",".join(self.AMENITIES_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch amenities: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - amenities = [ - models.Amenity.model_validate( - {key: value for key, value in zip(self.AMENITIES_COLUMNS, a)} - ) - for a in amenity_results - ] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - flights_results = snapshot.execute_sql( - "SELECT {} FROM flights ORDER BY id ASC".format( - ",".join(self.FLIGHTS_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch flights: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in flights_results - ] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - policy_results = snapshot.execute_sql( - "SELECT {} FROM policies ORDER BY id ASC".format( - ",".join(self.POLICIES_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch policies: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - policies = [ - models.Policy.model_validate( - {key: value for key, value in zip(self.POLICIES_COLUMNS, a)} - ) - for a in policy_results - ] - - return airports, amenities, flights, policies - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - """ - Retrieve an airport by its ID. - - Args: - id (int): The ID of the airport. - - Returns: - Optional[models.Airport]: An Airport model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Execute SQL query to fetch airport by ID - result = snapshot.execute_sql( - sql="SELECT * FROM airports WHERE id = @id", - params={"id": id}, - param_types={"id": param_types.INT64}, - ) - - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in result - ] - - return airports[0], None - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - """ - Retrieve an airport by its IATA code. - - Args: - iata (str): The IATA code of the airport. - - Returns: - Optional[models.Airport]: An Airport model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Execute SQL query to fetch airport by ID - result = snapshot.execute_sql( - sql="SELECT * FROM airports WHERE LOWER(iata) LIKE LOWER(@iata)", - params={"iata": iata}, - param_types={"iata": param_types.STRING}, - ) - - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in result - ] - - return airports[0], None - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - """ - Search for airports based on optional parameters. - - Args: - country (Optional[str]): The country of the airport. - city (Optional[str]): The city of the airport. - name (Optional[str]): The name of the airport. - - Returns: - list[models.Airport]: A list of Airport model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Construct SQL query based on provided parameters - query = """ - SELECT * FROM airports - WHERE (@country IS NULL OR LOWER(country) LIKE LOWER(@country)) - AND (@city IS NULL OR LOWER(city) LIKE LOWER(@city)) - AND (@name IS NULL OR LOWER(name) LIKE '%' || LOWER(@name) || '%') - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "country": country, - "city": city, - "name": name, - }, - param_types={ - "country": param_types.STRING, - "city": param_types.STRING, - "name": param_types.STRING, - }, - ) - - # Convert query result to model instance using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in results - ] - - return airports, None - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - """ - Retrieves an amenity by its ID. - - Args: - id (int): The ID of the amenity. - - Returns: - Optional[models.Amenity]: An Amenity model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - result = snapshot.execute_sql( - sql=""" - SELECT id, name, description, location, terminal, category, hour FROM amenities - WHERE id = @id - """, - params={"id": id}, - param_types={"id": param_types.INT64}, - ) - - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - amenities = [ - models.Amenity.model_validate( - {key: value for key, value in zip(self.AMENITIES_COLUMNS, a)} - ) - for a in result - ] - - return amenities[0], None - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - """ - Search for amenities based on similarity to a query embedding. - - Args: - query_embedding (list[float]): The embedding representing the query. - similarity_threshold (float): The minimum similarity threshold for results. - top_k (int): The maximum number of results to return. - - Returns: - list[models.Amenity]: A list of Amenity model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - query = """ - SELECT name, description, location, terminal, category, hour - FROM ( - SELECT name, description, location, terminal, category, hour, - COSINE_DISTANCE(embedding, @query_embedding) AS similarity - FROM amenities - ) AS sorted_amenities - WHERE (1 - similarity) > @similarity_threshold - ORDER BY similarity - LIMIT @top_k - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "query_embedding": query_embedding, - "similarity_threshold": similarity_threshold, - "top_k": top_k, - }, - param_types={ - "query_embedding": param_types.Array(param_types.FLOAT64), - "similarity_threshold": param_types.FLOAT64, - "top_k": param_types.INT64, - }, - ) - - amenities = [ - {key: value for key, value in zip(self.AMENITIES_COLUMNS[1:], a)} - for a in results - ] - - return amenities, None - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - """ - Retrieves a flight by its ID. - - Args: - flight_id (int): The ID of the flight. - - Returns: - Optional[models.Flight]: A Flight model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - result = snapshot.execute_sql( - sql=""" - SELECT * FROM flights - WHERE id = @flight_id - """, - params={"flight_id": flight_id}, - param_types={"flight_id": param_types.INT64}, - ) - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in result - ] - - return flights[0], None - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - """ - Search for flights by airline and flight number. - - Args: - airline (str): The airline of the flight. - number (str): The flight number. - - Returns: - list[models.Flight]: A list of Flight model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - results = snapshot.execute_sql( - sql=""" - SELECT * FROM flights - WHERE airline = @airline - AND flight_number = @number - LIMIT 10 - """, - params={"airline": airline, "number": number}, - param_types={ - "airline": param_types.STRING, - "number": param_types.STRING, - }, - ) - - # Convert query result to model instance using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in results - ] - - return flights, None - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - """ - Search for flights by departure and/or arrival airports. - - Args: - date (str): The date of the flights in 'YYYY-MM-DD' format. - departure_airport (str, optional): The departure airport code. Defaults to None. - arrival_airport (str, optional): The arrival airport code. Defaults to None. - - Returns: - list[models.Flight]: A list of Flight model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - query = """ - SELECT * FROM flights - WHERE (@departure_airport IS NULL OR LOWER(departure_airport) LIKE LOWER(@departure_airport)) - AND (@arrival_airport IS NULL OR LOWER(arrival_airport) LIKE LOWER(@arrival_airport)) - AND cast(departure_time as TIMESTAMP) >= CAST(@datetime AS TIMESTAMP) - AND cast(departure_time as TIMESTAMP) < TIMESTAMP_ADD(CAST(@datetime AS TIMESTAMP), INTERVAL 1 DAY) - LIMIT 10 - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "departure_airport": departure_airport, - "arrival_airport": arrival_airport, - "datetime": date, - }, - param_types={ - "departure_airport": param_types.STRING, - "arrival_airport": param_types.STRING, - "datetime": param_types.STRING, - }, - ) - - # Convert query results to model instances using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in results - ] - - return flights, None - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - results = snapshot.execute_sql( - sql=""" - SELECT * FROM flights - WHERE LOWER(airline) LIKE LOWER(@airline) - AND LOWER(flight_number) LIKE LOWER(@flight_number) - AND LOWER(departure_airport) LIKE LOWER(@departure_airport) - AND departure_time = @departure_time - """, - params={ - "airline": airline, - "flight_number": flight_number, - "departure_airport": departure_airport, - "departure_time": departure_time, - }, - param_types={ - "airline": param_types.STRING, - "flight_number": param_types.STRING, - "departure_airport": param_types.STRING, - "departure_time": param_types.STRING, - }, - ) - - if results is None: - return None, None - - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in results - ] - - if not flights: - return None, None - return flights[0], None - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - """ - Inserts a ticket into the database. - - Args: - user_id (str): The ID of the user. - user_name (str): The name of the user. - user_email (str): The email of the user. - airline (str): The airline of the flight. - flight_number (str): The flight number. - departure_airport (str): The departure airport code. - arrival_airport (str): The arrival airport code. - departure_time (str): The departure time of the flight. - arrival_time (str): The arrival time of the flight. - """ - departure_time_datetime = datetime.datetime.strptime( - departure_time, "%Y-%m-%d %H:%M:%S" - ) - arrival_time_datetime = datetime.datetime.strptime( - arrival_time, "%Y-%m-%d %H:%M:%S" - ) - - with self.__database.batch() as batch: - batch.insert( - table="tickets", - columns=[ - "user_id", - "user_name", - "user_email", - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - ], - values=[ - [ - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time_datetime, - arrival_time_datetime, - ] - ], - ) - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - """ - Retrieves a list of tickets for a user. - - Args: - user_id (str): The ID of the user. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - results = snapshot.execute_sql( - sql=""" - SELECT user_name, airline, flight_number, departure_airport, arrival_airport, departure_time, arrival_time FROM tickets - WHERE user_id = @user_id - """, - params={"user_id": user_id}, - param_types={"user_id": param_types.STRING}, - ) - - # Convert query results to model instances using model_validate method - tickets = [r for r in results] - - return tickets, None - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - """ - Search for policies based on similarity to a query embedding. - - Args: - query_embedding (list[float]): The embedding representing the query. - similarity_threshold (float): The minimum similarity threshold for results. - top_k (int): The maximum number of results to return. - - Returns: - list[models.Policy]: A list of Policy model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - query = """ - SELECT content - FROM ( - SELECT content, COSINE_DISTANCE(embedding, @query_embedding) AS similarity - FROM policies - ) AS sorted_policies - WHERE (1 - similarity) > @similarity_threshold - ORDER BY similarity - LIMIT @top_k - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "query_embedding": query_embedding, - "similarity_threshold": similarity_threshold, - "top_k": top_k, - }, - param_types={ - "query_embedding": param_types.Array(param_types.FLOAT64), - "similarity_threshold": param_types.FLOAT64, - "top_k": param_types.INT64, - }, - ) - - # Convert query result to model instance using model_validate method - policies = [a[0] for a in results] - - return policies, None - - async def close(self): - """ - Closes the database client connection. - """ - self.__client.close() diff --git a/retrieval_service/datastore/providers/spanner_gsql_test.py b/retrieval_service/datastore/providers/spanner_gsql_test.py deleted file mode 100644 index 8210c4513..000000000 --- a/retrieval_service/datastore/providers/spanner_gsql_test.py +++ /dev/null @@ -1,675 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime -from ipaddress import IPv4Address -from typing import Any, AsyncGenerator, Generator, List, Optional - -import pytest -import pytest_asyncio -from csv_diff import compare, load_csv # type: ignore -from google.cloud import spanner # type: ignore -from google.cloud.spanner_v1 import JsonObject, param_types -from google.cloud.spanner_v1.database import Database -from google.cloud.spanner_v1.instance import Instance - -import models - -from .. import datastore -from . import spanner_gsql -from .test_data import ( - amenities_query_embedding1, - amenities_query_embedding2, - foobar_query_embedding, - policies_query_embedding1, - policies_query_embedding2, -) -from .utils import get_env_var - -pytestmark = pytest.mark.asyncio(scope="module") - - -@pytest.fixture(scope="module") -def db_project() -> str: - return get_env_var("DB_PROJECT", "Google Cloud Project") - - -@pytest.fixture(scope="module") -def db_instance() -> str: - return get_env_var("DB_INSTANCE", "Spanner Instance") - - -@pytest.fixture(scope="module") -def db_name() -> str: - return get_env_var("DB_NAME", "Spanner Database") - - -@pytest.fixture(scope="module") -def create_db( - db_project: str, db_instance: str, db_name: str -) -> Generator[str, None, None]: - client = spanner.Client(project=db_project) - instance = client.instance(db_instance) - - database = instance.database(db_name) - - database.create() - - yield db_name - - database.drop() - client.close() - - -@pytest_asyncio.fixture(scope="module") -async def ds( - create_db: str, - db_project: str, - db_instance: str, -) -> AsyncGenerator[datastore.Client, None]: - cfg = spanner_gsql.Config( - kind="spanner-gsql", - project=db_project, - instance=db_instance, - database=create_db, - ) - - ds = await datastore.create(cfg) - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, - amenities_ds_path, - flights_ds_path, - policies_ds_path, - ) - await ds.initialize_data(airports, amenities, flights, policies) - - if ds is None: - raise TypeError("datastore creation failure") - - yield ds - - await ds.close() - - -def check_file_diff(file_diff): - assert file_diff["added"] == [] - assert file_diff["removed"] == [] - assert file_diff["changed"] == [] - assert file_diff["columns_added"] == [] - assert file_diff["columns_removed"] == [] - - -async def test_export_dataset(ds: spanner_gsql.Client): - airports, amenities, flights, policies = await ds.export_data() - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - diff_airports = compare( - load_csv(open(airports_ds_path), "id"), load_csv(open(airports_new_path), "id") - ) - check_file_diff(diff_airports) - - diff_amenities = compare( - load_csv(open(amenities_ds_path), "id"), - load_csv(open(amenities_new_path), "id"), - ) - check_file_diff(diff_amenities) - - diff_flights = compare( - load_csv(open(flights_ds_path), "id"), load_csv(open(flights_new_path), "id") - ) - check_file_diff(diff_flights) - - diff_policies = compare( - load_csv(open(policies_ds_path), "id"), - load_csv(open(policies_new_path), "id"), - ) - check_file_diff(diff_policies) - - -async def test_get_airport_by_id(ds: spanner_gsql.Client): - res, sql = await ds.get_airport_by_id(1) - expected = models.Airport( - id=1, - iata="MAG", - name="Madang Airport", - city="Madang", - country="Papua New Guinea", - ) - assert res == expected - assert sql is None - - -@pytest.mark.parametrize( - "iata", - [ - pytest.param("SFO", id="upper_case"), - pytest.param("sfo", id="lower_case"), - ], -) -async def test_get_airport_by_iata(ds: spanner_gsql.Client, iata: str): - res, sql = await ds.get_airport_by_iata(iata) - expected = models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - assert res == expected - assert sql is None - - -search_airports_test_data = [ - pytest.param( - "Philippines", - "San jose", - None, - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=2313, - iata="EUQ", - name="Evelio Javier Airport", - city="San Jose", - country="Philippines", - ), - ], - id="country_and_city_only", - ), - pytest.param( - "united states", - "san francisco", - None, - [ - models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - ], - id="country_and_name_only", - ), - pytest.param( - None, - "San Jose", - "San Jose", - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=3548, - iata="SJC", - name="Norman Y. Mineta San Jose International Airport", - city="San Jose", - country="United States", - ), - ], - id="city_and_name_only", - ), - pytest.param( - "Foo", - "FOO BAR", - "Foo bar", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize("country, city, name, expected", search_airports_test_data) -async def test_search_airports( - ds: spanner_gsql.Client, - country: str, - city: str, - name: str, - expected: List[models.Airport], -): - res, sql = await ds.search_airports(country, city, name) - assert res == expected - assert sql is None - - -async def test_get_amenity(ds: spanner_gsql.Client): - res, sql = await ds.get_amenity(0) - expected = models.Amenity( - id=0, - name="Coffee Shop 732", - description="Serving American cuisine.", - location="Near Gate B12", - terminal="Terminal 3", - category="restaurant", - hour="Daily 7:00 am - 10:00 pm", - sunday_start_hour=None, - sunday_end_hour=None, - monday_start_hour=None, - monday_end_hour=None, - tuesday_start_hour=None, - tuesday_end_hour=None, - wednesday_start_hour=None, - wednesday_end_hour=None, - thursday_start_hour=None, - thursday_end_hour=None, - friday_start_hour=None, - friday_end_hour=None, - saturday_start_hour=None, - saturday_end_hour=None, - ) - - assert res == expected - assert sql is None - - -amenities_search_test_data = [ - pytest.param( - # "Where can I get coffee near gate A6?" - amenities_query_embedding1, - 0.65, - 1, - [ - { - "name": "Coffee Shop 732", - "description": "Serving American cuisine.", - "location": "Near Gate B12", - "terminal": "Terminal 3", - "category": "restaurant", - "hour": "Daily 7:00 am - 10:00 pm", - }, - ], - id="search_coffee_shop", - ), - pytest.param( - # "Where can I look for luxury goods?" - amenities_query_embedding2, - 0.65, - 2, - [ - { - "name": "Gucci Duty Free", - "description": "Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.", - "location": "Gate E9", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - { - "name": "Hermes Duty Free", - "description": "High-end French brand duty-free shop offering luxury goods and accessories.", - "location": "Gate E18", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - ], - id="search_luxury_goods", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.9, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", amenities_search_test_data -) -async def test_amenities_search( - ds: spanner_gsql.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[models.Amenity], -): - res, sql = await ds.amenities_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is None - - -async def test_get_flight(ds: spanner_gsql.Client): - res, sql = await ds.get_flight(1) - expected = models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime("2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S"), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ) - assert res == expected - assert sql is None - - -search_flights_by_number_test_data = [ - pytest.param( - "UA", - "1158", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=55455, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2025-10-15 05:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-10-15 08:40:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="B50", - arrival_gate="E4", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "UU", - "0000", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "airline, number, expected", search_flights_by_number_test_data -) -async def test_search_flights_by_number( - ds: spanner_gsql.Client, - airline: str, - number: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_number(airline, number) - assert res == expected - assert sql is None - - -search_flights_by_airports_test_data = [ - pytest.param( - "2025-01-01", - "SFO", - "ORD", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=13, - airline="UA", - flight_number="616", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 07:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 13:24:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="A11", - arrival_gate="D8", - ), - models.Flight( - id=25, - airline="AA", - flight_number="242", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 08:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 14:26:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E30", - arrival_gate="C1", - ), - models.Flight( - id=109, - airline="UA", - flight_number="1640", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:01:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:02:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E27", - arrival_gate="C24", - ), - models.Flight( - id=119, - airline="AA", - flight_number="197", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:21:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:33:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="D25", - arrival_gate="E49", - ), - models.Flight( - id=136, - airline="UA", - flight_number="1564", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 19:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-02 01:14:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E3", - arrival_gate="C48", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "2025-01-01", - "FOO", - "BAR", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "date, departure_airport, arrival_airport, expected", - search_flights_by_airports_test_data, -) -async def test_search_flights_by_airports( - ds: spanner_gsql.Client, - date: str, - departure_airport: str, - arrival_airport: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - assert res == expected - assert sql is None - - -policies_search_test_data = [ - pytest.param( - # "What is the fee for extra baggage?" - policies_query_embedding1, - 0.65, - 1, - [ - "## Baggage\nChecked Baggage: Economy passengers are allowed 2 checked bags. Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.", - ], - id="search_extra_baggage_fee", - ), - pytest.param( - # "Can I change my flight?" - policies_query_embedding2, - 0.65, - 2, - [ - "Changes: Changes to tickets are permitted at any time until 60 minutes prior to scheduled departure. There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.", - "# Cymbal Air: Passenger Policy \n## Ticket Purchase and Changes\nTypes of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.", - ], - id="search_flight_delays", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.65, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", policies_search_test_data -) -async def test_policies_search( - ds: spanner_gsql.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[models.Policy], -): - res, sql = await ds.policies_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is None - - -validate_ticket_data = [ - pytest.param( - { - "airline": "UA", - "flight_number": "1158", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:57:00", - }, - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ), - None, - ), - pytest.param( - { - "airline": "XX", - "flight_number": "9999", - "departure_airport": "ZZZ", - "departure_time": "2025-01-01 05:57:00", - }, - None, - None, - ), -] - - -@pytest.mark.parametrize("params, expected_data, expected_sql", validate_ticket_data) -async def test_validate_ticket( - ds: spanner_gsql.Client, params, expected_data, expected_sql -): - flight, sql = await ds.validate_ticket(**params) - assert flight == expected_data - assert sql == expected_sql diff --git a/retrieval_service/datastore/providers/spanner_postgres.py b/retrieval_service/datastore/providers/spanner_postgres.py deleted file mode 100644 index 8ebdd347f..000000000 --- a/retrieval_service/datastore/providers/spanner_postgres.py +++ /dev/null @@ -1,1028 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import datetime -from typing import Any, Literal, Optional - -from google.cloud import spanner # type: ignore -from google.cloud.spanner_v1 import JsonObject, param_types -from google.cloud.spanner_v1.database import Database -from google.cloud.spanner_v1.instance import Instance -from google.oauth2 import service_account # type: ignore -from pydantic import BaseModel - -import models - -from .. import datastore - -# Identifier for Spanner -SPANNER_IDENTIFIER = "spanner-postgres" - - -# Configuration model for Spanner -class Config(BaseModel, datastore.AbstractConfig): - """ - Configuration model for Spanner. - - Attributes: - kind (Literal["spanner"]): Type of datastore. - project (str): Google Cloud project ID. - instance (str): ID of the Spanner instance. - database (str): ID of the Spanner database. - service_account_key_file (str): Service Account Key File. - """ - - kind: Literal["spanner-postgres"] - project: str - instance: str - database: str - service_account_key_file: Optional[str] = None - - -# Client class for interacting with Spanner -class Client(datastore.Client[Config]): - OPERATION_TIMEOUT_SECONDS = 240 - BATCH_SIZE = 1000 - AIRPORT_COLUMNS = ["id", "iata", "name", "city", "country"] - AMENITIES_COLUMNS = [ - "id", - "name", - "description", - "location", - "terminal", - "category", - "hour", - "sunday_start_hour", - "sunday_end_hour", - "monday_start_hour", - "monday_end_hour", - "tuesday_start_hour", - "tuesday_end_hour", - "wednesday_start_hour", - "wednesday_end_hour", - "thursday_start_hour", - "thursday_end_hour", - "friday_start_hour", - "friday_end_hour", - "saturday_start_hour", - "saturday_end_hour", - "content", - "embedding", - ] - FLIGHTS_COLUMNS = [ - "id", - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - "departure_gate", - "arrival_gate", - ] - - POLICIES_COLUMNS = ["id", "content", "embedding"] - """ - Client class for interacting with Spanner. - - Attributes: - __client (spanner.Client): Spanner client instance. - __instance_id (str): ID of the Spanner instance. - __database_id (str): ID of the Spanner database. - __instance (Instance): Spanner instance. - __database (Database): Spanner database. - """ - - @datastore.classproperty - def kind(cls): - return SPANNER_IDENTIFIER - - def __init__(self, client: spanner.Client, instance_id: str, database_id: str): - """ - Initialize the Spanner client. - - Args: - client (spanner.Client): Spanner client instance. - instance_id (str): ID of the Spanner instance. - database_id (str): ID of the Spanner database. - """ - self.__client = client - self.__instance_id = instance_id - self.__database_id = database_id - - self.__instance = self.__client.instance(self.__instance_id) - self.__database = self.__instance.database(self.__database_id) - - @classmethod - async def create(cls, config: Config) -> "Client": - """ - Create a Spanner client. - - Args: - config (Config): Configuration for creating the client. - - Returns: - Client: Initialized Spanner client. - """ - client: spanner.Client - - if config.service_account_key_file is not None: - credentials = service_account.Credentials.from_service_account_file( - config.service_account_key_file - ) - client = spanner.Client(project=config.project, credentials=credentials) - else: - client = spanner.Client(project=config.project) - - instance_id = config.instance - instance = client.instance(instance_id) - - if not instance.exists(): - raise Exception(f"Instance with id: {instance_id} doesn't exist.") - - database_id = config.database - database = instance.database(database_id) - - if not database.exists(): - raise Exception(f"Database with id: {database_id} doesn't exist.") - - return cls(client, instance_id, database_id) - - async def initialize_data( - self, - airports: list[models.Airport], - amenities: list[models.Amenity], - flights: list[models.Flight], - policies: list[models.Policy], - ) -> None: - """ - Initialize data in the Spanner database by creating tables and inserting records. - - Args: - airports (list[models.Airport]): list of airports to be initialized. - amenities (list[models.Amenity]): list of amenities to be initialized. - flights (list[models.Flight]): list of flights to be initialized. - policies (list[models.Policy]): list of policies to be initialized. - Returns: - None - """ - # Initialize a list to store Data Definition Language (DDL) statements - ddl = [] - - # Create DDL statement to drop the 'airports' table if it exists - ddl.append("DROP TABLE IF EXISTS airports") - - # Create DDL statement to create the 'airports' table - ddl.append( - """ - CREATE TABLE airports( - id BIGINT PRIMARY KEY, - iata VARCHAR, - name VARCHAR, - city VARCHAR, - country VARCHAR - ) - """ - ) - - # Create DDL statement to drop the 'amenities' table if it exists - ddl.append("DROP TABLE IF EXISTS amenities") - - # Create DDL statement to create the 'amenities' table - ddl.append( - """ - CREATE TABLE amenities( - id BIGINT PRIMARY KEY, - name VARCHAR, - description VARCHAR, - location VARCHAR, - terminal VARCHAR, - category VARCHAR, - hour VARCHAR, - sunday_start_hour VARCHAR, - sunday_end_hour VARCHAR, - monday_start_hour VARCHAR, - monday_end_hour VARCHAR, - tuesday_start_hour VARCHAR, - tuesday_end_hour VARCHAR, - wednesday_start_hour VARCHAR, - wednesday_end_hour VARCHAR, - thursday_start_hour VARCHAR, - thursday_end_hour VARCHAR, - friday_start_hour VARCHAR, - friday_end_hour VARCHAR, - saturday_start_hour VARCHAR, - saturday_end_hour VARCHAR, - content VARCHAR NOT NULL, - embedding FLOAT8[] NOT NULL - ) - """ - ) - - # Create DDL statement to drop the 'flights' table if it exists - ddl.append("DROP TABLE IF EXISTS flights") - - # Create DDL statement to create the 'flights' table - ddl.append( - """ - CREATE TABLE flights( - id BIGINT PRIMARY KEY, - airline VARCHAR, - flight_number VARCHAR, - departure_airport VARCHAR, - arrival_airport VARCHAR, - departure_time VARCHAR(100), - arrival_time VARCHAR(100), - departure_gate VARCHAR, - arrival_gate VARCHAR - ) - """ - ) - - # Create DDL statement to drop the 'policies' table if it exists - ddl.append("DROP TABLE IF EXISTS policies") - - # Create DDL statement to create the 'policies' table - ddl.append( - """ - CREATE TABLE policies( - id BIGINT PRIMARY KEY, - content VARCHAR NOT NULL, - embedding FLOAT8[] NOT NULL - ) - """ - ) - - # Create DDL statement to drop the 'tickets' table if it exists - ddl.append("DROP TABLE IF EXISTS tickets") - - # Create DDL statement to create the 'tickets' table - ddl.append( - """ - CREATE TABLE tickets( - user_id VARCHAR, - user_name VARCHAR, - user_email VARCHAR, - airline VARCHAR, - flight_number VARCHAR, - departure_airport VARCHAR, - arrival_airport VARCHAR, - departure_time VARCHAR(100), - arrival_time VARCHAR(100), - PRIMARY KEY(user_id, airline, flight_number, departure_time) - ) - """ - ) - - # Update the schema using DDL statements - operation = self.__database.update_ddl(ddl) - - print("Waiting for schema update operation to complete...") - operation.result(self.OPERATION_TIMEOUT_SECONDS) - print("Schema update operation completed") - - # Insert data into 'airports' table using batch operation - - values = [ - tuple(getattr(airport, field) for field in self.AIRPORT_COLUMNS) - for airport in airports - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="airports", - columns=self.AIRPORT_COLUMNS, - values=records, - ) - - # Insert data into 'amenities' table using batch operation - values = [ - tuple( - ( - str(getattr(amenity, field)) - if isinstance(getattr(amenity, field), datetime.time) - else getattr(amenity, field) - ) - for field in self.AMENITIES_COLUMNS - ) - for amenity in amenities - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="amenities", - columns=self.AMENITIES_COLUMNS, - values=records, - ) - - # Insert data into 'flights' table using batch operation - values = [ - tuple( - ( - str(getattr(flight, field)) - if isinstance(getattr(flight, field), datetime.datetime) - else getattr(flight, field) - ) - for field in self.FLIGHTS_COLUMNS - ) - for flight in flights - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="flights", - columns=self.FLIGHTS_COLUMNS, - values=records, - ) - - # Insert data into 'policies' table using batch operation - values = [ - tuple(getattr(policy, field) for field in self.POLICIES_COLUMNS) - for policy in policies - ] - - for i in range(0, len(values), self.BATCH_SIZE): - records = values[i : i + self.BATCH_SIZE] - - with self.__database.batch() as batch: - batch.insert( - table="policies", - columns=self.POLICIES_COLUMNS, - values=records, - ) - - # Return None to indicate successful initialization - return None - - async def export_data( - self, - ) -> tuple[ - list[models.Airport], - list[models.Amenity], - list[models.Flight], - list[models.Policy], - ]: - """ - Export data from the Spanner database. - - Returns: - tuple: A tuple containing lists of airports, amenities, flights, and policies. - """ - airports: list = [] - amenities: list = [] - flights: list = [] - policies: list = [] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - airport_results = snapshot.execute_sql( - "SELECT {} FROM airports ORDER BY id ASC".format( - ",".join(self.AIRPORT_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch airports: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in airport_results - ] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - amenity_results = snapshot.execute_sql( - "SELECT {} FROM amenities ORDER BY id ASC".format( - ",".join(self.AMENITIES_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch amenities: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - amenities = [ - models.Amenity.model_validate( - {key: value for key, value in zip(self.AMENITIES_COLUMNS, a)} - ) - for a in amenity_results - ] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - flights_results = snapshot.execute_sql( - "SELECT {} FROM flights ORDER BY id ASC".format( - ",".join(self.FLIGHTS_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch flights: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in flights_results - ] - - try: - with self.__database.snapshot() as snapshot: - # Execute SQL queries to fetch data from respective tables - policy_results = snapshot.execute_sql( - "SELECT {} FROM policies ORDER BY id ASC".format( - ",".join(self.POLICIES_COLUMNS) - ) - ) - except Exception as e: - # Handle any exceptions, such as database connection errors - print(f"Error occurred while fetch policies: {e}") - # Return empty lists in case of error - return airports, amenities, flights, policies - - # Convert query results to model instances using model_validate method - policies = [ - models.Policy.model_validate( - {key: value for key, value in zip(self.POLICIES_COLUMNS, a)} - ) - for a in policy_results - ] - - return airports, amenities, flights, policies - - async def get_airport_by_id( - self, id: int - ) -> tuple[Optional[models.Airport], Optional[str]]: - """ - Retrieve an airport by its ID. - - Args: - id (int): The ID of the airport. - - Returns: - Optional[models.Airport]: An Airport model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Execute SQL query to fetch airport by ID - result = snapshot.execute_sql( - sql="SELECT * FROM airports WHERE id = $1", - params={"p1": id}, - param_types={"p1": param_types.INT64}, - ) - - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in result - ] - - return airports[0], None - - async def get_airport_by_iata( - self, iata: str - ) -> tuple[Optional[models.Airport], Optional[str]]: - """ - Retrieve an airport by its IATA code. - - Args: - iata (str): The IATA code of the airport. - - Returns: - Optional[models.Airport]: An Airport model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Execute SQL query to fetch airport by ID - result = snapshot.execute_sql( - sql="SELECT * FROM airports WHERE LOWER(iata) LIKE LOWER($1)", - params={"p1": iata}, - param_types={"p1": param_types.STRING}, - ) - - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in result - ] - - return airports[0], None - - async def search_airports( - self, - country: Optional[str] = None, - city: Optional[str] = None, - name: Optional[str] = None, - ) -> tuple[list[models.Airport], Optional[str]]: - """ - Search for airports based on optional parameters. - - Args: - country (Optional[str]): The country of the airport. - city (Optional[str]): The city of the airport. - name (Optional[str]): The name of the airport. - - Returns: - list[models.Airport]: A list of Airport model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Construct SQL query based on provided parameters - query = """ - SELECT * FROM airports - WHERE ($1 IS NULL OR LOWER(country) LIKE LOWER($1)) - AND ($2 IS NULL OR LOWER(city) LIKE LOWER($2)) - AND ($3 IS NULL OR LOWER(name) LIKE '%' || LOWER($3) || '%') - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "p1": country, - "p2": city, - "p3": name, - }, - param_types={ - "p1": param_types.STRING, - "p2": param_types.STRING, - "p3": param_types.STRING, - }, - ) - - # Convert query result to model instance using model_validate method - airports = [ - models.Airport.model_validate( - {key: value for key, value in zip(self.AIRPORT_COLUMNS, a)} - ) - for a in results - ] - - return airports, None - - async def get_amenity( - self, id: int - ) -> tuple[Optional[models.Amenity], Optional[str]]: - """ - Retrieves an amenity by its ID. - - Args: - id (int): The ID of the amenity. - - Returns: - Optional[models.Amenity]: An Amenity model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - result = snapshot.execute_sql( - sql=""" - SELECT id, name, description, location, terminal, category, hour FROM amenities - WHERE id = $1 - """, - params={"p1": id}, - param_types={"p1": param_types.INT64}, - ) - - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - amenities = [ - models.Amenity.model_validate( - {key: value for key, value in zip(self.AMENITIES_COLUMNS, a)} - ) - for a in result - ] - - return amenities[0], None - - async def amenities_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[Any], Optional[str]]: - """ - Search for amenities based on similarity to a query embedding. - - Args: - query_embedding (list[float]): The embedding representing the query. - similarity_threshold (float): The minimum similarity threshold for results. - top_k (int): The maximum number of results to return. - - Returns: - list[models.Amenity]: A list of Amenity model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - query = """ - SELECT name, description, location, terminal, category, hour - FROM ( - SELECT name, description, location, terminal, category, hour, - spanner.cosine_distance(embedding, $1) AS similarity - FROM amenities - ) AS sorted_amenities - WHERE (1 - similarity) > $2 - ORDER BY similarity - LIMIT $3 - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "p1": query_embedding, - "p2": similarity_threshold, - "p3": top_k, - }, - param_types={ - "p1": param_types.Array(param_types.FLOAT64), - "p2": param_types.FLOAT64, - "p3": param_types.INT64, - }, - ) - - # Convert query result to model instance using model_validate method - amenities = [ - {key: value for key, value in zip(self.AMENITIES_COLUMNS[1:], a)} - for a in results - ] - - return amenities, None - - async def get_flight( - self, flight_id: int - ) -> tuple[Optional[models.Flight], Optional[str]]: - """ - Retrieves a flight by its ID. - - Args: - flight_id (int): The ID of the flight. - - Returns: - Optional[models.Flight]: A Flight model instance if found, else None. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - result = snapshot.execute_sql( - sql=""" - SELECT * FROM flights - WHERE id = $1 - """, - params={"p1": flight_id}, - param_types={"p1": param_types.INT64}, - ) - # Check if result is None - if result is None: - return None, None - - # Convert query result to model instance using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in result - ] - - return flights[0], None - - async def search_flights_by_number( - self, - airline: str, - number: str, - ) -> tuple[list[models.Flight], Optional[str]]: - """ - Search for flights by airline and flight number. - - Args: - airline (str): The airline of the flight. - number (str): The flight number. - - Returns: - list[models.Flight]: A list of Flight model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - results = snapshot.execute_sql( - sql=""" - SELECT * FROM flights - WHERE airline = $1 - AND flight_number = $2 - LIMIT 10 - """, - params={"p1": airline, "p2": number}, - param_types={ - "p1": param_types.STRING, - "p2": param_types.STRING, - }, - ) - - # Convert query result to model instance using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in results - ] - - return flights, None - - async def search_flights_by_airports( - self, - date: str, - departure_airport: Optional[str] = None, - arrival_airport: Optional[str] = None, - ) -> tuple[list[models.Flight], Optional[str]]: - """ - Search for flights by departure and/or arrival airports. - - Args: - date (str): The date of the flights in 'YYYY-MM-DD' format. - departure_airport (str, optional): The departure airport code. Defaults to None. - arrival_airport (str, optional): The arrival airport code. Defaults to None. - - Returns: - list[models.Flight]: A list of Flight model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - - query = """ - SELECT * FROM flights - WHERE (COALESCE($1) IS NULL OR LOWER(departure_airport) LIKE LOWER($1)) - AND (COALESCE($2) IS NULL OR LOWER(arrival_airport) LIKE LOWER($2)) - AND CAST(departure_time as timestamptz) >= CAST($3 AS timestamptz) - AND cast(departure_time as timestamptz) < spanner.timestamptz_add(CAST($3 AS timestamptz), '1 day') - LIMIT 10 - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "p1": departure_airport, - "p2": arrival_airport, - "p3": date, - }, - param_types={ - "p1": param_types.STRING, - "p2": param_types.STRING, - "p3": param_types.STRING, - }, - ) - - # Convert query results to model instances using model_validate method - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in results - ] - - return flights, None - - async def validate_ticket( - self, - airline: str, - flight_number: str, - departure_airport: str, - departure_time: str, - ) -> tuple[Optional[models.Flight], Optional[str]]: - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - results = snapshot.execute_sql( - sql=""" - SELECT * FROM flights - WHERE LOWER(airline) LIKE LOWER($1) - AND LOWER(flight_number) LIKE LOWER($2) - AND LOWER(departure_airport) LIKE LOWER($3) - AND departure_time = $4 - """, - params={ - "p1": airline, - "p2": flight_number, - "p3": departure_airport, - "p4": departure_time, - }, - param_types={ - "p1": param_types.STRING, - "p2": param_types.STRING, - "p3": param_types.STRING, - "p4": param_types.STRING, - }, - ) - - if results is None: - return None, None - - flights = [ - models.Flight.model_validate( - {key: value for key, value in zip(self.FLIGHTS_COLUMNS, a)} - ) - for a in results - ] - - if not flights: - return None, None - return flights[0], None - - async def insert_ticket( - self, - user_id: str, - user_name: str, - user_email: str, - airline: str, - flight_number: str, - departure_airport: str, - arrival_airport: str, - departure_time: str, - arrival_time: str, - ): - """ - Inserts a ticket into the database. - - Args: - user_id (str): The ID of the user. - user_name (str): The name of the user. - user_email (str): The email of the user. - airline (str): The airline of the flight. - flight_number (str): The flight number. - departure_airport (str): The departure airport code. - arrival_airport (str): The arrival airport code. - departure_time (str): The departure time of the flight. - arrival_time (str): The arrival time of the flight. - """ - departure_time_datetime = datetime.datetime.strptime( - departure_time, "%Y-%m-%d %H:%M:%S" - ) - arrival_time_datetime = datetime.datetime.strptime( - arrival_time, "%Y-%m-%d %H:%M:%S" - ) - - with self.__database.batch() as batch: - batch.insert( - table="tickets", - columns=[ - "user_id", - "user_name", - "user_email", - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - ], - values=[ - [ - user_id, - user_name, - user_email, - airline, - flight_number, - departure_airport, - arrival_airport, - departure_time_datetime, - arrival_time_datetime, - ] - ], - ) - - async def list_tickets( - self, - user_id: str, - ) -> tuple[list[Any], Optional[str]]: - """ - Retrieves a list of tickets for a user. - - Args: - user_id (str): The ID of the user. - """ - with self.__database.snapshot() as snapshot: - # Spread SQL query for readability - results = snapshot.execute_sql( - sql=""" - SELECT user_name, airline, flight_number, departure_airport, arrival_airport, departure_time, arrival_time FROM tickets - WHERE user_id = $1 - """, - params={"p1": user_id}, - param_types={"p1": param_types.STRING}, - ) - - # Convert query results to model instances using model_validate method - tickets = [ - models.Ticket.model_validate( - { - key: value - for key, value in zip( - [ - "user_id", - "user_name", - "user_email", - "airline", - "flight_number", - "departure_airport", - "arrival_airport", - "departure_time", - "arrival_time", - ], - a, - ) - } - ) - for a in results - ] - - return tickets, None - - async def policies_search( - self, query_embedding: list[float], similarity_threshold: float, top_k: int - ) -> tuple[list[str], Optional[str]]: - """ - Search for policies based on similarity to a query embedding. - - Args: - query_embedding (list[float]): The embedding representing the query. - similarity_threshold (float): The minimum similarity threshold for results. - top_k (int): The maximum number of results to return. - - Returns: - list[models.Policy]: A list of Policy model instances matching the search criteria. - """ - with self.__database.snapshot() as snapshot: - query = """ - SELECT content - FROM ( - SELECT content, spanner.cosine_distance(embedding, $1) AS similarity - FROM policies - ) AS sorted_policies - WHERE (1 - similarity) > $2 - ORDER BY similarity - LIMIT $3 - """ - - # Execute SQL query with parameters - results = snapshot.execute_sql( - sql=query, - params={ - "p1": query_embedding, - "p2": similarity_threshold, - "p3": top_k, - }, - param_types={ - "p1": param_types.Array(param_types.FLOAT64), - "p2": param_types.FLOAT64, - "p3": param_types.INT64, - }, - ) - - # Convert query result to model instance using model_validate method - policies = [a[0] for a in results] - - return policies, None - - async def close(self): - """ - Closes the database client connection. - """ - self.__client.close() diff --git a/retrieval_service/datastore/providers/spanner_postgres_test.py b/retrieval_service/datastore/providers/spanner_postgres_test.py deleted file mode 100644 index 5cc498020..000000000 --- a/retrieval_service/datastore/providers/spanner_postgres_test.py +++ /dev/null @@ -1,685 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from datetime import datetime -from ipaddress import IPv4Address -from typing import Any, AsyncGenerator, Generator, List, Optional - -import pytest -import pytest_asyncio -from csv_diff import compare, load_csv # type: ignore -from google.cloud import spanner # type: ignore -from google.cloud.spanner_admin_database_v1.types import DatabaseDialect -from google.cloud.spanner_v1 import JsonObject, param_types -from google.cloud.spanner_v1.database import Database -from google.cloud.spanner_v1.instance import Instance - -import models - -from .. import datastore -from . import spanner_postgres -from .test_data import ( - amenities_query_embedding1, - amenities_query_embedding2, - foobar_query_embedding, - policies_query_embedding1, - policies_query_embedding2, -) -from .utils import get_env_var - -pytestmark = pytest.mark.asyncio(scope="module") - - -@pytest.fixture(scope="module") -def db_project() -> str: - return get_env_var("DB_PROJECT", "Google Cloud Project") - - -@pytest.fixture(scope="module") -def db_instance() -> str: - return get_env_var("DB_INSTANCE", "Spanner Instance") - - -@pytest.fixture(scope="module") -def db_name() -> str: - return get_env_var("DB_NAME", "Spanner PG Database") - - -@pytest.fixture(scope="module") -def create_db( - db_project: str, db_instance: str, db_name: str -) -> Generator[str, None, None]: - client = spanner.Client(project=db_project) - instance = client.instance(db_instance) - - database = instance.database( - db_name, - database_dialect=DatabaseDialect.POSTGRESQL, - ) - - database.create() - - yield db_name - - database.drop() - client.close() - - -@pytest_asyncio.fixture(scope="module") -async def ds( - create_db: str, - db_project: str, - db_instance: str, -) -> AsyncGenerator[datastore.Client, None]: - cfg = spanner_postgres.Config( - kind="spanner-postgres", - project=db_project, - instance=db_instance, - database=create_db, - ) - - ds = await datastore.create(cfg) - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, - amenities_ds_path, - flights_ds_path, - policies_ds_path, - ) - await ds.initialize_data(airports, amenities, flights, policies) - - if ds is None: - raise TypeError("datastore creation failure") - - yield ds - - await ds.close() - - -def check_file_diff(file_diff): - assert file_diff["added"] == [] - assert file_diff["removed"] == [] - assert file_diff["changed"] == [] - assert file_diff["columns_added"] == [] - assert file_diff["columns_removed"] == [] - - -async def test_export_dataset(ds: spanner_postgres.Client): - airports, amenities, flights, policies = await ds.export_data() - - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - diff_airports = compare( - load_csv(open(airports_ds_path), "id"), load_csv(open(airports_new_path), "id") - ) - check_file_diff(diff_airports) - - diff_amenities = compare( - load_csv(open(amenities_ds_path), "id"), - load_csv(open(amenities_new_path), "id"), - ) - check_file_diff(diff_amenities) - - diff_flights = compare( - load_csv(open(flights_ds_path), "id"), load_csv(open(flights_new_path), "id") - ) - check_file_diff(diff_flights) - - diff_policies = compare( - load_csv(open(policies_ds_path), "id"), - load_csv(open(policies_new_path), "id"), - ) - check_file_diff(diff_policies) - - -async def test_get_airport_by_id(ds: spanner_postgres.Client): - res, sql = await ds.get_airport_by_id(1) - expected = models.Airport( - id=1, - iata="MAG", - name="Madang Airport", - city="Madang", - country="Papua New Guinea", - ) - assert res == expected - assert sql is None - - -@pytest.mark.parametrize( - "iata", - [ - pytest.param("SFO", id="upper_case"), - pytest.param("sfo", id="lower_case"), - ], -) -async def test_get_airport_by_iata(ds: spanner_postgres.Client, iata: str): - res, sql = await ds.get_airport_by_iata(iata) - expected = models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - assert res == expected - assert sql is None - - -search_airports_test_data = [ - pytest.param( - "Philippines", - "San jose", - None, - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=2313, - iata="EUQ", - name="Evelio Javier Airport", - city="San Jose", - country="Philippines", - ), - ], - id="country_and_city_only", - ), - pytest.param( - "united states", - "san francisco", - None, - [ - models.Airport( - id=3270, - iata="SFO", - name="San Francisco International Airport", - city="San Francisco", - country="United States", - ) - ], - id="country_and_name_only", - ), - pytest.param( - None, - "San Jose", - "San Jose", - [ - models.Airport( - id=2299, - iata="SJI", - name="San Jose Airport", - city="San Jose", - country="Philippines", - ), - models.Airport( - id=3548, - iata="SJC", - name="Norman Y. Mineta San Jose International Airport", - city="San Jose", - country="United States", - ), - ], - id="city_and_name_only", - ), - pytest.param( - "Foo", - "FOO BAR", - "Foo bar", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize("country, city, name, expected", search_airports_test_data) -async def test_search_airports( - ds: spanner_postgres.Client, - country: str, - city: str, - name: str, - expected: List[models.Airport], -): - res, sql = await ds.search_airports(country, city, name) - assert res == expected - assert sql is None - - -async def test_get_amenity(ds: spanner_postgres.Client): - res, sql = await ds.get_amenity(0) - expected = models.Amenity( - id=0, - name="Coffee Shop 732", - description="Serving American cuisine.", - location="Near Gate B12", - terminal="Terminal 3", - category="restaurant", - hour="Daily 7:00 am - 10:00 pm", - sunday_start_hour=None, - sunday_end_hour=None, - monday_start_hour=None, - monday_end_hour=None, - tuesday_start_hour=None, - tuesday_end_hour=None, - wednesday_start_hour=None, - wednesday_end_hour=None, - thursday_start_hour=None, - thursday_end_hour=None, - friday_start_hour=None, - friday_end_hour=None, - saturday_start_hour=None, - saturday_end_hour=None, - ) - - assert res is not None - assert res.name == expected.name - assert res.description == expected.description - assert res.location == expected.location - assert res.terminal == expected.terminal - assert res.category == expected.category - assert res.hour == expected.hour - assert sql is None - - -amenities_search_test_data = [ - pytest.param( - # "Where can I get coffee near gate A6?" - amenities_query_embedding1, - 0.65, - 1, - [ - { - "name": "Coffee Shop 732", - "description": "Serving American cuisine.", - "location": "Near Gate B12", - "terminal": "Terminal 3", - "category": "restaurant", - "hour": "Daily 7:00 am - 10:00 pm", - }, - ], - id="search_coffee_shop", - ), - pytest.param( - # "Where can I look for luxury goods?" - amenities_query_embedding2, - 0.65, - 2, - [ - { - "name": "Gucci Duty Free", - "description": "Luxury brand duty-free shop offering designer clothing, accessories, and fragrances.", - "location": "Gate E9", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - { - "name": "Hermes Duty Free", - "description": "High-end French brand duty-free shop offering luxury goods and accessories.", - "location": "Gate E18", - "terminal": "International Terminal A", - "category": "shop", - "hour": "Daily 7:00 am-10:00 pm", - }, - ], - id="search_luxury_goods", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.9, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", amenities_search_test_data -) -async def test_amenities_search( - ds: spanner_postgres.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[models.Amenity], -): - res, sql = await ds.amenities_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is None - - -async def test_get_flight(ds: spanner_postgres.Client): - res, sql = await ds.get_flight(1) - expected = models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime("2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S"), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ) - assert res == expected - assert sql is None - - -search_flights_by_number_test_data = [ - pytest.param( - "UA", - "1158", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=55455, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="JFK", - departure_time=datetime.strptime( - "2025-10-15 05:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-10-15 08:40:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="B50", - arrival_gate="E4", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "UU", - "0000", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "airline, number, expected", search_flights_by_number_test_data -) -async def test_search_flights_by_number( - ds: spanner_postgres.Client, - airline: str, - number: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_number(airline, number) - assert res == expected - assert sql is None - - -search_flights_by_airports_test_data = [ - pytest.param( - "2025-01-01", - "SFO", - "ORD", - [ - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="C38", - arrival_gate="D30", - ), - models.Flight( - id=13, - airline="UA", - flight_number="616", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 07:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 13:24:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="A11", - arrival_gate="D8", - ), - models.Flight( - id=25, - airline="AA", - flight_number="242", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 08:18:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 14:26:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E30", - arrival_gate="C1", - ), - models.Flight( - id=109, - airline="UA", - flight_number="1640", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:01:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:02:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E27", - arrival_gate="C24", - ), - models.Flight( - id=119, - airline="AA", - flight_number="197", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 17:21:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-01 23:33:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="D25", - arrival_gate="E49", - ), - models.Flight( - id=136, - airline="UA", - flight_number="1564", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 19:14:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime( - "2025-01-02 01:14:00", "%Y-%m-%d %H:%M:%S" - ), - departure_gate="E3", - arrival_gate="C48", - ), - ], - id="successful_airport_search", - ), - pytest.param( - "2025-01-01", - "FOO", - "BAR", - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "date, departure_airport, arrival_airport, expected", - search_flights_by_airports_test_data, -) -async def test_search_flights_by_airports( - ds: spanner_postgres.Client, - date: str, - departure_airport: str, - arrival_airport: str, - expected: List[models.Flight], -): - res, sql = await ds.search_flights_by_airports( - date, departure_airport, arrival_airport - ) - assert res == expected - assert sql is None - - -policies_search_test_data = [ - pytest.param( - # "What is the fee for extra baggage?" - policies_query_embedding1, - 0.65, - 1, - [ - "## Baggage\nChecked Baggage: Economy passengers are allowed 2 checked bags. Business class and First class passengers are allowed 4 checked bags. Additional baggage will cost $70 and a $30 fee applies for all checked bags over 50 lbs. Cymbal Air cannot accept checked bags over 100 lbs. We only accept checked bags up to 115 inches in total dimensions (length + width + height), and oversized baggage will cost $30. Checked bags above 160 inches in total dimensions will not be accepted.", - ], - id="search_extra_baggage_fee", - ), - pytest.param( - # "Can I change my flight?" - policies_query_embedding2, - 0.65, - 2, - [ - "Changes: Changes to tickets are permitted at any time until 60 minutes prior to scheduled departure. There are no fees for changes as long as the new ticket is on Cymbal Air and is at an equal or lower price. If the new ticket has a higher price, the customer must pay the difference between the new and old fares. Changes to a non-Cymbal-Air flight include a $100 change fee.", - "# Cymbal Air: Passenger Policy \n## Ticket Purchase and Changes\nTypes of Fares: Cymbal Air offers a variety of fares (Economy, Premium Economy, Business Class, and First Class). Fare restrictions, such as change fees and refundability, vary depending on the fare purchased.", - ], - id="search_flight_delays", - ), - pytest.param( - # "FOO BAR" - foobar_query_embedding, - 0.65, - 1, - [], - id="no_results", - ), -] - - -@pytest.mark.parametrize( - "query_embedding, similarity_threshold, top_k, expected", policies_search_test_data -) -async def test_policies_search( - ds: spanner_postgres.Client, - query_embedding: List[float], - similarity_threshold: float, - top_k: int, - expected: List[models.Policy], -): - res, sql = await ds.policies_search(query_embedding, similarity_threshold, top_k) - assert res == expected - assert sql is None - - -validate_ticket_data = [ - pytest.param( - { - "airline": "UA", - "flight_number": "1158", - "departure_airport": "SFO", - "departure_time": "2025-01-01 05:57:00", - }, - models.Flight( - id=1, - airline="UA", - flight_number="1158", - departure_airport="SFO", - arrival_airport="ORD", - departure_time=datetime.strptime( - "2025-01-01 05:57:00", "%Y-%m-%d %H:%M:%S" - ), - arrival_time=datetime.strptime("2025-01-01 12:13:00", "%Y-%m-%d %H:%M:%S"), - departure_gate="C38", - arrival_gate="D30", - ), - None, - ), - pytest.param( - { - "airline": "XX", - "flight_number": "9999", - "departure_airport": "ZZZ", - "departure_time": "2025-01-01 05:57:00", - }, - None, - None, - ), -] - - -@pytest.mark.parametrize("params, expected_data, expected_sql", validate_ticket_data) -async def test_validate_ticket( - ds: spanner_postgres.Client, params, expected_data, expected_sql -): - flight, sql = await ds.validate_ticket(**params) - assert flight == expected_data - assert sql == expected_sql diff --git a/retrieval_service/datastore/providers/test_data.py b/retrieval_service/datastore/providers/test_data.py deleted file mode 100644 index 67b8420d4..000000000 --- a/retrieval_service/datastore/providers/test_data.py +++ /dev/null @@ -1,3854 +0,0 @@ -amenities_query_embedding1 = [ - -0.03426577150821686, - -0.02576032467186451, - -0.0257739145308733, - 0.02418350614607334, - 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-import os - - -def get_env_var(key: str, desc: str) -> str: - v = os.environ.get(key) - if v is None: - raise ValueError(f"Must set env var {key} to: {desc}") - return v diff --git a/retrieval_service/example-config-alloydb.yml b/retrieval_service/example-config-alloydb.yml deleted file mode 100644 index 8c278ef86..000000000 --- a/retrieval_service/example-config-alloydb.yml +++ /dev/null @@ -1,11 +0,0 @@ -host: 0.0.0.0 -datastore: - # Example for AlloyDB - kind: "alloydb-postgres" - project: "my-project" - region: "my-region" - cluster: "my-cluster" - instance: "my-instance" - database: "my_database" - user: "my-user" - password: "my-password" diff --git a/retrieval_service/example-config-cloudsql.yml b/retrieval_service/example-config-cloudsql.yml deleted file mode 100644 index c489707af..000000000 --- a/retrieval_service/example-config-cloudsql.yml +++ /dev/null @@ -1,10 +0,0 @@ -host: 0.0.0.0 -datastore: - # Example for Cloud SQL - kind: "cloudsql-engine" - project: "my-project" - region: "my-region" - instance: "my-instance" - database: "my_database" - user: "my-user" - password: "my-password" diff --git a/retrieval_service/example-config-spanner.yml b/retrieval_service/example-config-spanner.yml deleted file mode 100644 index 8409147c7..000000000 --- a/retrieval_service/example-config-spanner.yml +++ /dev/null @@ -1,8 +0,0 @@ -host: 0.0.0.0 -datastore: - # Example for Spanner - kind: "spanner-engine" - project: "my-project" - instance: "my-instance" - database: "my_database" - # service_account_key_file: "my-service-account-key/service_accounts_credentials.json" diff --git a/retrieval_service/example-config.yml b/retrieval_service/example-config.yml deleted file mode 100644 index 9d1e89c7f..000000000 --- a/retrieval_service/example-config.yml +++ /dev/null @@ -1,11 +0,0 @@ -host: 0.0.0.0 -# port: 8080 -datastore: - # Example for AlloyDB - kind: "postgres" - host: 127.0.0.1 - # port: 5432 - database: "my_database" - user: "my-user" - password: "my-password" - # clientId: "my-clientId" diff --git a/retrieval_service/postgres.tests.cloudbuild.yaml b/retrieval_service/postgres.tests.cloudbuild.yaml deleted file mode 100644 index 6d2d2e647..000000000 --- a/retrieval_service/postgres.tests.cloudbuild.yaml +++ /dev/null @@ -1,88 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: Create database - name: postgres - secretEnv: - - DB_USER # Use built-in env vars for database connection - - DB_PASS - script: | - #!/usr/bin/env bash - export PGUSER=$DB_USER - export PGPASSWORD=$DB_PASS - echo "SELECT 'CREATE DATABASE ${_DATABASE_NAME}' WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = '${_DATABASE_NAME}')\gexec" | psql -h ${_DATABASE_HOST} - psql -h ${_DATABASE_HOST} -d ${_DATABASE_NAME} -c 'CREATE EXTENSION IF NOT EXISTS vector;' - - - id: Update config - name: python:3.11 - dir: retrieval_service - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - # Create config - cp example-config.yml config.yml - sed -i "s/127.0.0.1/${_DATABASE_HOST}/g" config.yml - sed -i "s/my_database/${_DATABASE_NAME}/g" config.yml - sed -i "s/my-user/$$DB_USER/g" config.yml - sed -i "s/my-password/$$DB_PASS/g" config.yml - - - id: Run Alloy DB integration tests - name: python:3.11 - dir: retrieval_service - env: # Set env var expected by tests - - "DB_NAME=${_DATABASE_NAME}" - - "DB_HOST=${_DATABASE_HOST}" - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - python -m pytest --cov=datastore.providers.postgres --cov-config=coverage/.postgres-coveragerc datastore/providers/postgres_test.py - - - id: Clean database - name: postgres - secretEnv: - - DB_USER - - DB_PASS - script: | - #!/usr/bin/env bash - export PGUSER=$DB_USER - export PGPASSWORD=$DB_PASS - psql -h ${_DATABASE_HOST} -c "DROP DATABASE IF EXISTS ${_DATABASE_NAME};" - -substitutions: - _DATABASE_NAME: test_${SHORT_SHA} - _DATABASE_USER: postgres - _DATABASE_HOST: 127.0.0.1 - -availableSecrets: - secretManager: - - versionName: projects/$PROJECT_ID/secrets/alloy_db_user/versions/latest - env: DB_USER - - versionName: projects/$PROJECT_ID/secrets/alloy_db_pass/versions/latest - env: DB_PASS -options: - automapSubstitutions: true - substitutionOption: 'ALLOW_LOOSE' - dynamic_substitutions: true - pool: - name: projects/$PROJECT_ID/locations/us-central1/workerPools/alloy-private-pool # Necessary for VPC network connection diff --git a/retrieval_service/pyproject.toml b/retrieval_service/pyproject.toml deleted file mode 100644 index d4898d789..000000000 --- a/retrieval_service/pyproject.toml +++ /dev/null @@ -1,14 +0,0 @@ -[tool.isort] -profile = "black" - -[tool.mypy] -python_version = "3.11" -warn_unused_configs = true - -[[tool.mypy.overrides]] -module = ["pgvector.asyncpg"] -ignore_missing_imports = true - -[[tool.mypy.overrides]] -module = ["sqlparse"] -ignore_missing_imports = true diff --git a/retrieval_service/requirements-test.txt b/retrieval_service/requirements-test.txt deleted file mode 100644 index 0a8177cac..000000000 --- a/retrieval_service/requirements-test.txt +++ /dev/null @@ -1,10 +0,0 @@ -asyncpg-stubs==0.30.0 -black==25.1.0 -httpx==0.27.2 -isort==6.0.0 -mypy==1.11.2 -pytest-asyncio==0.24.0 -pytest==8.3.3 -types-PyYAML==6.0.12.20240917 -csv-diff==1.2 -pytest-cov==6.0.0 diff --git a/retrieval_service/requirements.txt b/retrieval_service/requirements.txt deleted file mode 100644 index 07b163d0a..000000000 --- a/retrieval_service/requirements.txt +++ /dev/null @@ -1,23 +0,0 @@ -asyncpg==0.30.0 -fastapi==0.115.0 -google-auth==2.35.0 -google-cloud-firestore==2.19.0 -google-cloud-aiplatform==1.72.0 -google-cloud-spanner==3.49.1 -langchain-core==0.3.18 -pgvector==0.3.5 -pydantic==2.9.0 -uvicorn[standard]==0.31.0 -cloud-sql-python-connector==1.12.1 -google-cloud-alloydb-connector[asyncpg]==1.4.0 -sqlalchemy[asyncio]==2.0.36 -pandas==2.2.3 -pandas-stubs==2.2.2.240807 -langchain-text-splitters==0.3.0 -langchain-google-vertexai==2.0.7 -asyncio==3.4.3 -datetime==5.5 -pymysql==1.1.1 -types-PyMySQL==1.1.0.20240524 -neo4j==5.26.0 -sqlparse==0.5.2 diff --git a/retrieval_service/run_app.py b/retrieval_service/run_app.py deleted file mode 100644 index 832f858b6..000000000 --- a/retrieval_service/run_app.py +++ /dev/null @@ -1,42 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import argparse -import asyncio - -import uvicorn - -from app import init_app, parse_config - - -async def main(): - # Set up argument parsing - parser = argparse.ArgumentParser(description="Run the FastAPI application") - parser.add_argument("--reload", action="store_true", help="Enable auto-reload") - args = parser.parse_args() - - cfg = parse_config("./config.yml") - app = init_app(cfg) - if app is None: - raise TypeError("app not instantiated") - server = uvicorn.Server( - uvicorn.Config( - app, host=str(cfg.host), port=cfg.port, log_level="info", reload=args.reload - ) - ) - await server.serve() - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/retrieval_service/run_database_export.py b/retrieval_service/run_database_export.py deleted file mode 100644 index aa7d05a65..000000000 --- a/retrieval_service/run_database_export.py +++ /dev/null @@ -1,49 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio - -import datastore -from app import parse_config - - -async def main(): - cfg = parse_config("config.yml") - ds = await datastore.create(cfg.datastore) - - airports, amenities, flights, policies = await ds.export_data() - - await ds.close() - - airports_new_path = "../data/airport_dataset.csv.new" - amenities_new_path = "../data/amenity_dataset.csv.new" - flights_new_path = "../data/flights_dataset.csv.new" - policies_new_path = "../data/cymbalair_policy.csv.new" - - await ds.export_dataset( - airports, - amenities, - flights, - policies, - airports_new_path, - amenities_new_path, - flights_new_path, - policies_new_path, - ) - - print("database export done.") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/retrieval_service/run_database_init.py b/retrieval_service/run_database_init.py deleted file mode 100644 index 79ac8e592..000000000 --- a/retrieval_service/run_database_init.py +++ /dev/null @@ -1,39 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import asyncio - -import datastore -from app import parse_config - - -async def main() -> None: - airports_ds_path = "../data/airport_dataset.csv" - amenities_ds_path = "../data/amenity_dataset.csv" - flights_ds_path = "../data/flights_dataset.csv" - policies_ds_path = "../data/cymbalair_policy.csv" - - cfg = parse_config("config.yml") - ds = await datastore.create(cfg.datastore) - airports, amenities, flights, policies = await ds.load_dataset( - airports_ds_path, amenities_ds_path, flights_ds_path, policies_ds_path - ) - await ds.initialize_data(airports, amenities, flights, policies) - await ds.close() - - print("database init done.") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/retrieval_service/spanner-gsql.tests.cloudbuild.yaml b/retrieval_service/spanner-gsql.tests.cloudbuild.yaml deleted file mode 100644 index 2dbc3f36b..000000000 --- a/retrieval_service/spanner-gsql.tests.cloudbuild.yaml +++ /dev/null @@ -1,51 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: - - id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - - - id: Update config - name: python:3.11 - dir: retrieval_service - script: | - #!/usr/bin/env bash - # Create config - cp example-config-spanner.yml config.yml - sed -i "s/spanner-engine/spanner-gsql/g" config.yml - sed -i "s/my-project/$PROJECT_ID/g" config.yml - sed -i "s/my-instance/${_SPANNER_INSTANCE}/g" config.yml - sed -i "s/my_database/${_DATABASE_NAME}/g" config.yml - - - id: Run Spanner with gsql integration tests - name: python:3.11 - dir: retrieval_service - env: # Set env var expected by tests - - "DB_PROJECT=$PROJECT_ID" - - "DB_INSTANCE=${_SPANNER_INSTANCE}" - - "DB_NAME=${_DATABASE_NAME}" - script: | - #!/usr/bin/env bash - python -m pytest datastore/providers/spanner_gsql_test.py - -substitutions: - _DATABASE_NAME: test_${SHORT_SHA} - _SPANNER_INSTANCE: "my-spanner-gsql-instance" - -options: - automapSubstitutions: true - substitutionOption: 'ALLOW_LOOSE' - dynamic_substitutions: true diff --git a/retrieval_service/spanner-pg.tests.cloudbuild.yaml b/retrieval_service/spanner-pg.tests.cloudbuild.yaml deleted file mode 100644 index 651806893..000000000 --- a/retrieval_service/spanner-pg.tests.cloudbuild.yaml +++ /dev/null @@ -1,51 +0,0 @@ -# Copyright 2024 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -steps: -- id: Install dependencies - name: python:3.11 - dir: retrieval_service - script: pip install -r requirements.txt -r requirements-test.txt --user - -- id: Update config - name: python:3.11 - dir: retrieval_service - script: | - #!/usr/bin/env bash - # Create config - cp example-config-spanner.yml config.yml - sed -i "s/spanner-engine/spanner-postgres/g" config.yml - sed -i "s/my-project/$PROJECT_ID/g" config.yml - sed -i "s/my-instance/${_SPANNER_INSTANCE}/g" config.yml - sed -i "s/my_database/${_DATABASE_NAME}/g" config.yml - -- id: Run Spanner with postgres dialect integration tests - name: python:3.11 - dir: retrieval_service - env: # Set env var expected by tests - - "DB_PROJECT=$PROJECT_ID" - - "DB_INSTANCE=${_SPANNER_INSTANCE}" - - "DB_NAME=${_DATABASE_NAME}-pg" - script: | - #!/usr/bin/env bash - python -m pytest datastore/providers/spanner_postgres_test.py - -substitutions: - _DATABASE_NAME: test_${SHORT_SHA} - _SPANNER_INSTANCE: "my-spanner-pg-instance" - -options: - automapSubstitutions: true - substitutionOption: 'ALLOW_LOOSE' - dynamic_substitutions: true diff --git a/llm_demo/run_app.py b/run_app.py similarity index 85% rename from llm_demo/run_app.py rename to run_app.py index cdca499a1..66591b58b 100644 --- a/llm_demo/run_app.py +++ b/run_app.py @@ -24,12 +24,9 @@ async def main(): PORT = int(os.getenv("PORT", default=8081)) HOST = os.getenv("HOST", default="0.0.0.0") - ORCHESTRATION_TYPE = os.getenv("ORCHESTRATION_TYPE", default="langchain-tools") CLIENT_ID = os.getenv("CLIENT_ID") MIDDLEWARE_SECRET = os.getenv("MIDDLEWARE_SECRET", default="this is a secret") - app = init_app( - ORCHESTRATION_TYPE, client_id=CLIENT_ID, middleware_secret=MIDDLEWARE_SECRET - ) + app = init_app(client_id=CLIENT_ID, middleware_secret=MIDDLEWARE_SECRET) if app is None: raise TypeError("app not instantiated") server = uvicorn.Server(uvicorn.Config(app, host=HOST, port=PORT, log_level="info")) diff --git a/llm_demo/static/favicon.png b/static/favicon.png similarity index 100% rename from llm_demo/static/favicon.png rename to static/favicon.png diff --git a/llm_demo/static/index.css b/static/index.css similarity index 99% rename from llm_demo/static/index.css rename to static/index.css index fac6d1c52..0fb21960c 100644 --- a/llm_demo/static/index.css +++ b/static/index.css @@ -363,7 +363,6 @@ div.chat-wrapper div.chat-content div#loader-container span { #trace { position: absolute; width: 400px; - min-height: 200px; max-height: 400px; background: #f8f8f8; padding: 10px; diff --git a/llm_demo/static/index.js b/static/index.js similarity index 95% rename from llm_demo/static/index.js rename to static/index.js index 1cd0bd82b..333150bf7 100644 --- a/llm_demo/static/index.js +++ b/static/index.js @@ -156,6 +156,7 @@ function logMessage(name, msg, trace) { function buildConfirmation(confirmation, messageId) { if (["Insert Ticket","insert_ticket"].includes(confirmation.tool)) { const params = confirmation.params; + const output = confirmation.output; const message_id = messageId; confirmations[message_id] = params const from = params.departure_airport; @@ -169,7 +170,7 @@ function buildConfirmation(confirmation, messageId) { const message = `
- Please confirm the details below to complete your booking + ${output}
${from}
@@ -181,7 +182,7 @@ function buildConfirmation(confirmation, messageId) { ${buildBox('left', 205, 35, 15, "Flight", flight)} ${buildBox('left', 265, 35, 15, "Passenger", userName, "")} ${buildButton("Looks good to me. Book it!", 342, "#805e9d", "#FFF", "confirmTicket" + message_id)} - ${buildButton("I changed my mind.", 395, "#f8f8f8", "#181a23", "cancelTicket" + message_id)} + ${buildButton("I changed my mind. Decline ticket booking.", 395, "#f8f8f8", "#181a23", "cancelTicket" + message_id)}
`; $('.inner-content').append(message); $('.chat-content').scrollTop($('.chat-content').prop("scrollHeight")); @@ -262,15 +263,19 @@ async function cancelTicket(id) { 'Content-Type': 'application/json' } }); + logMessage("human", "I changed my mind. Decline ticket booking.") + removeTicketChoices(id); + if (response.ok) { - logMessage("human", "I changed my mind.") - removeTicketChoices(id); - logMessage("ai", 'Booking declined. What else can I help you with?'); + logMessage("ai", await response.text()); + } else { + console.error(await response.text()) + logMessage("ai", "Sorry, something went wrong. 😢") } } async function confirmTicket(id) { - logMessage("human", "Looks good to me.") + logMessage("human", "Looks good to me. Book it!") const params = JSON.stringify(confirmations[id]); const response = await fetch('book/flight', { method: 'POST', diff --git a/llm_demo/static/logo-header.png b/static/logo-header.png similarity index 100% rename from llm_demo/static/logo-header.png rename to static/logo-header.png diff --git a/llm_demo/static/logo.png b/static/logo.png similarity index 100% rename from llm_demo/static/logo.png rename to static/logo.png diff --git a/llm_demo/static/trace.js b/static/trace.js similarity index 95% rename from llm_demo/static/trace.js rename to static/trace.js index ee75f9fb6..9551b1773 100644 --- a/llm_demo/static/trace.js +++ b/static/trace.js @@ -22,8 +22,10 @@ export function create_trace(toolcalls) { let toolcall = toolcalls[i]; trace += trace_section_title(toolcall.tool_call_id); - trace += trace_header("SQL Executed:"); - trace += trace_sql(toolcall.sql); + if (toolcall.sql) { + trace += trace_header("SQL Executed:"); + trace += trace_sql(toolcall.sql); + } trace += trace_header("Results:"); trace += trace_results(toolcall.results); diff --git a/llm_demo/templates/index.html b/templates/index.html similarity index 100% rename from llm_demo/templates/index.html rename to templates/index.html diff --git a/tools.yaml b/tools.yaml new file mode 100644 index 000000000..63bae5f41 --- /dev/null +++ b/tools.yaml @@ -0,0 +1,234 @@ +sources: + my-pg-instance: + kind: alloydb-postgres + project: retrieval-app-testing + region: us-central1 + cluster: my-alloydb-cluster + instance: my-alloydb-instance + database: assistantdemo + user: postgres + password: postgres +authServices: + my_google_service: + kind: google + clientId: 706535509072-qa5v22ur8ik8o513b0538ufo0ne9jfn5.apps.googleusercontent.com +tools: + search_airports: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to list all airports matching search criteria. + Takes at least one of country, city, name, or all and returns all matching airports. + The agent can decide to return the results directly to the user. + parameters: + - name: country + type: string + description: Country + default: "" + - name: city + type: string + description: City + default: "" + - name: name + type: string + description: Airport name + default: "" + statement: | + SELECT * FROM airports + WHERE (CAST($1 AS TEXT) = '' OR country ILIKE $1) + AND (CAST($2 AS TEXT) = '' OR city ILIKE $2) + AND (CAST($3 AS TEXT) = '' OR name ILIKE '%' || $3 || '%') + LIMIT 10 + list_flights: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to list flights information matching search criteria. + Takes an arrival airport, a departure airport, or both, filters by date and returns all matching flights. + If 3-letter iata code is not provided for departure_airport or arrival_airport, use `search_airports` tool to get iata code information. + Do NOT guess a date, ask user for date input if it is not given. Date must be in the following format: YYYY-MM-DD. + The agent can decide to return the results directly to the user. + parameters: + - name: departure_airport + type: string + description: Departure airport 3-letter code + default: "" + - name: arrival_airport + type: string + description: Arrival airport 3-letter code + default: "" + - name: date + type: string + description: Date of flight departure + statement: | + SELECT * FROM flights + WHERE (CAST($1 AS TEXT) = '' OR departure_airport ILIKE $1) + AND (CAST($2 AS TEXT) = '' OR arrival_airport ILIKE $2) + AND departure_time >= CAST($3 AS timestamp) + AND departure_time < CAST($3 AS timestamp) + interval '1 day' + LIMIT 10 + search_flights_by_number: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to get information for a specific flight. + Takes an airline code and flight number and returns info on the flight. + Do NOT use this tool with a flight id. Do NOT guess an airline code or flight number. + A airline code is a code for an airline service consisting of two-character + airline designator and followed by flight number, which is 1 to 4 digit number. + For example, if given CY 0123, the airline is "CY", and flight_number is "123". + Another example for this is DL 1234, the airline is "DL", and flight_number is "1234". + If the tool returns more than one option choose the date closest to the current date. + parameters: + - name: airline + type: string + description: Airline unique 2 letter identifier + - name: flight_number + type: string + description: 1 to 4 digit number + statement: | + SELECT * FROM flights + WHERE airline = $1 + AND flight_number = $2 + LIMIT 10 + search_amenities: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to search amenities by name or to recommended airport amenities at SFO. + If user provides flight info, use 'search_flights_by_number' tool + first to get gate info and location. + Only recommend amenities that are returned by this query. + Find amenities close to the user by matching the terminal and then comparing + the gate numbers. Gate number iterate by letter and number, example A1 A2 A3 + B1 B2 B3 C1 C2 C3. Gate A3 is close to A2 and B1. + parameters: + - name: query + type: string + description: Search query + statement: | + SELECT name, description, location, terminal, category, hour + FROM amenities + WHERE (embedding <=> embedding('gemini-embedding-001', $1)::vector) < 0.5 + ORDER BY (embedding <=> embedding('gemini-embedding-001', $1)::vector) + LIMIT 5 + search_policies: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to search for cymbal air passenger policy. + Policy that are listed is unchangeable. + You will not answer any questions outside of the policy given. + Policy includes information on ticket purchase and changes, baggage, check-in and boarding, special assistance, overbooking, flight delays and cancellations. + parameters: + - name: query + type: string + description: Search query + statement: | + SELECT content + FROM policies + WHERE (embedding <=> embedding('gemini-embedding-001', $1)::vector) < 0.5 + ORDER BY (embedding <=> embedding('gemini-embedding-001', $1)::vector) + LIMIT 5 + validate_ticket: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to validate ticket before booking. + parameters: + - name: airline + type: string + description: Airline unique 2 letter identifier + - name: flight_number + type: string + description: 1 to 4 digit number + - name: departure_airport + type: string + description: Departure airport 3-letter code + - name: departure_time + type: string + description: Flight departure datetime + statement: | + SELECT * FROM flights + WHERE airline ILIKE $1 + AND flight_number ILIKE $2 + AND departure_airport ILIKE $3 + AND departure_time = $4 + insert_ticket: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to book a flight ticket for the user. + parameters: + - name: user_id + type: string + description: User ID of the logged in user. + authServices: + - name: my_google_service + field: sub + - name: user_name + type: string + description: Name of the logged in user. + authServices: + - name: my_google_service + field: name + - name: user_email + type: string + description: Email ID of the logged in user. + authServices: + - name: my_google_service + field: email + - name: airline + type: string + description: Airline unique 2 letter identifier + - name: flight_number + type: string + description: 1 to 4 digit number + - name: departure_airport + type: string + description: Departure airport 3-letter code + - name: departure_time + type: string + description: Flight departure datetime + - name: arrival_airport + type: string + description: Arrival airport 3-letter code + - name: arrival_time + type: string + description: Flight arrival datetime + statement: | + INSERT INTO tickets ( + user_id, + user_name, + user_email, + airline, + flight_number, + departure_airport, + departure_time, + arrival_airport, + arrival_time + ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9); + list_tickets: + kind: postgres-sql + source: my-pg-instance + description: | + Use this tool to list a user's flight tickets. + parameters: + - name: user_id + type: string + description: User ID of the logged in user. + authServices: + - name: my_google_service + field: sub + statement: | + SELECT user_name, airline, flight_number, departure_airport, arrival_airport, departure_time, arrival_time FROM tickets + WHERE user_id = $1 +toolsets: + cymbal_air: + - search_airports + - list_flights + - search_flights_by_number + - search_amenities + - search_policies + - insert_ticket + - list_tickets