🚀 HumanFirst SDK (humanfirst-module)

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The HumanFirst SDK (humanfirst-module) is a Python package that simplifies the integration and interaction with the HumanFirst platform - It is a no-code tool specializing in Data Engineering, Prompt Engineering, Context Engineering, Conversational AI and NLU.

SDK provides a set of tools, helper classes, and API methods to streamline working with the HumanFirst JSON format, API endpoints, and Secure authorization.

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🎯 Key Features

• HumanFirst Objects: Helper classes to describe, validate, and manipulate the core data structures used in the HumanFirst platform.
• HumanFirst APIs: A streamlined way to interact with the HumanFirst APIs for managing datasets, labels, prompts, pipelines and more.
• Secure Authorization: Simplified handling of secure API authentication and token management.

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📦 Installation

Install the package using pip:

pip install humanfirst

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🧩 Components Overview

1. humanfirst.objects: A set of helper classes and methods for describing, validating, and interacting with HFObjects that make up the HumanFirst JSON format.

   • Validate and manipulate HumanFirst objects.
   • Convert between Python objects and HumanFirst JSON structures.

2. humanfirst.apis: Helper classes to interact with the HumanFirst APIs.

   • Perform CRUD operations on datasets and projects.
   • Easily integrate HumanFirst functionalities into your applications.

3. humanfirst.authorization: Handles secure authorization for interacting with HumanFirst APIs.

   • Manage API keys and tokens.
   • Ensure secure communication with the HumanFirst platform.

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📖 Usage Example

Here's a basic example of how to use the HumanFirst SDK to connect to the HumanFirst API and perform operations:

Follow the authentication steps given in the development setup below.

import humanfirst

# Step 1 : Initialize the API
hf_api = humanfirst.apis.HFAPI()

# Step 2: Perform an API call (e.g., fetching a list of projects)
playbook_list = hf_api.list_playbooks(namespace="<namespace>")

print(playbook_list)

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⚙️ Development Setup

For contributors and developers, you can set up the package locally by cloning the repository and installing the necessary dependencies:

# Clone the repo
git clone https://github.com/zia-ai/humanfirst-module.git

# Navigate into the project directory
cd humanfirst-module

Create Virtual Environment to do any dev work and perform pytest work

• Remove any previously created virtual env rm -rf ./venv
• Create virtualenv & activate python3 -m venv venv
• if bash shell source venv/bin/activate In case of deactivating use "deactivate"
• Update PiP python -m pip install --upgrade pip
• install requirements pip install -r requirements.txt --no-cache

Authentication

1. Either use firebase authentication
   • Set your HF_USERNAME and HF_PASSWORD env variable
2. Or use HumanFirst API Key
   • Set HF_API_KEY env variable
   • Follow the steps here to get API key

Log handling

• HF SDK logging offers multiple options. Either can save the logs, print them in the console, do both or none
• To store the logs in a specific directory set HF_LOG_FILE_ENABLE to 'TRUE' and set the directory in HF_LOG_DIR where the log files needs to be stored.
• Log file management
  • Rotating File Handler is used
  • When the log file size exceeds 100MB (Hard coded). Automatically a new file is created and old one is saved
  • Can go to upto 4 additional log files
  • If the number of log files exceed the additional log file count + 1, then automatically the oldest log file is gets replaced with new log information
• Can set log levels using HF_LOG_LEVEL. Accepts - 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
• To print the logs in console set exp to 'TRUE'
• Default - the logs are neither saved nor printed onto console

Using pytest to test everything is working fine

Running on production

This is the default.

pytest --cov ./humanfirst/ --cov-report html --cov-report term

• --cov-report html - produces a report in HTML page
• --cov-report term - prints the report in console
• --cov-report term:skip-covered - helps to see uncovered parts

Testing using Docker build for this module

Check docker is working with docker run hello-world or sudo docker run hello-world depending on whether you have a user or root docker setup.

• docker build . -t humanfirst-module:latest --no-cache To run the tests for this module we pass through the necessary env variables echo $HF_ENVIRONMENT $BASE_URL_TEST $HF_USERNAME $HF_PASSWORD

docker run \
-e "HF_USERNAME=$HF_USERNAME" \
-e "HF_PASSWORD=$HF_PASSWORD" \
--name humanfirst-module-0 \
humanfirst-module \
pytest -s --cov ./humanfirst/ --cov-report term

To install humanfirst package locally

pip install dist/humanfirst-<version number>.tar.gz --no-cache

For more details on developer setup visit Developer README.md

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🔧 Configuration Files

The package includes configuration files located in the config/ directory.

config/
│
├── logging.conf
└── setup.cfg

• logging.conf - contains all the logging related configurations
• setup.cfg - contains all important default constants

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📚 API Reference

For detailed API reference, visit the official documentation:

📖 Documentation: https://docs.humanfirst.ai/docs/api/

📂 Source Code APIs: https://github.com/zia-ai/humanfirst-module/blob/master/humanfirst/apis.py

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🤝 Contributing

We welcome contributions to the HumanFirst SDK! If you find a bug or have a feature request, please open an issue on GitHub.

Steps to Contribute:

• Fork the repository.
• Create a new branch for your feature/bugfix.
• Submit a pull request.

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📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.

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💬 Support

If you have any questions or need support, feel free to reach out:

📧 Email: [email protected]

💻 GitHub Issues: https://github.com/zia-ai/humanfirst-module/issues

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🔗 Links

🌐 Official Website: https://www.humanfirst.ai

📚 Documentation: https://docs.humanfirst.ai/docs

🐙 GitHub Repo: https://github.com/zia-ai/humanfirst-module

🐞 Issue Tracker: https://github.com/zia-ai/humanfirst-module/issues

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