Medical Plan RESTfull application

Project to demonstrate Indexing of Structured JSON objects

Tech Stack

• Python Flask Microservice
• Redis Server
• ElasticSearch
• Kibana
• RabbitMQ
• Google IDP for OAUTH 2.0 Authentication
• Pydantic for Schema Validations
• REST Framework
• Postman

Prerequisites:

export GOOGLE_CLIENT_ID="rand-id.apps.googleusercontent.com"
export RABBITMQ_HOST="localhost"
export RABBITMQ_PORT="5672"
export RABBITMQ_PASSWORD="guest"
export RABBITMQ_USER="guest"
export ES_PASSWORD="test@123"
export ES_USER="elastic"
export ES_HOST="localhost"
export ES_PORT=9200

To generate Google Cliend Id and Secret, first needs to setup google consent from google console. Watch this video tutorial: https://www.youtube.com/watch?v=tgO_ADSvY1I

Tip: Env variables will be lost once you close the terminal, to fix that. Add the above commands to your ~/.zshrc or ~/.bashrc

API Endpoints

• POST /v1/plan - Creates a new plan provided in the request body.
  • If the request is successful, a valid Etag for the object is returned in the ETag HTTP Response Header.
• GET /v1/plan/{id} - Fetches an existing plan provided by the id.
  • An Etag for the object can be provided in the If-None-Match HTTP Request Header.
  • Returns response only if data in db doesn't matches with the Etag provided in headers.
• DELETE /v1/plan/{id} - Deletes an existing plan provided by the id.
• PATCH /v1/plan/{id} - Update/merge an existing plan provided by the id.
  • A valid Etag for the object should also be provided in the If-Match HTTP Request Header.
  • The validator passes if the specified ETag matches that of the target resource.
  • The Controller updates only if there's a change in the client view of the response.

Architecture Diagram:

Run Details on Mac:

1. brew install redis
2. brew services start redis
3. brew install rabbitmq
4. Run ElasticSearch & kibana locally in Docker - https://www.elastic.co/guide/en/elasticsearch/reference/current/run-elasticsearch-locally.html
5. python3 -m venv venv
6. source venv/bin/activate
7. pip install -r requirements.txt
8. python app.py
9. python consumer.py

Useful resources:

• https://blog.mimacom.com/parent-child-elasticsearch/