Service 1: GraphQL Service Documentation Service Overview Name: fastApiProject

Description: This service provides a GraphQL API for querying user data.

Endpoints GraphQL Endpoint: /graphql Description: Accepts GraphQL queries for retrieving user data. Method: POST Example Query: graphql Copy code { user(id: "123") { id name email } } GraphQL Schema User Type

Fields: id (ID): Unique identifier for the user. name (String): User's name. email (String): User's email address. Queries

user(id: ID!): Retrieve a user by their ID. Error Handling HTTP Status Codes: 200 OK: Successful request. 400 Bad Request: Invalid GraphQL query. 500 Internal Server Error: Internal server error. Dependencies FastAPI: Python web framework for building GraphQL API. Ariadne: GraphQL toolkit for Python. Uvicorn: ASGI server for running the FastAPI application. Requests: HTTP library for making requests to Service 2.

Service 2: MongoDB Service Documentation Service Overview Name: flaskProject1

Description: This service manages a MongoDB database that stores user data.

Endpoints User Data Endpoint: /get_user/<user_id> Description: Retrieve user data from the MongoDB database. Method: GET URL Parameter: user_id (String): The unique identifier of the user. Database Schema Collection Name: users Fields: _id (ObjectId): MongoDB's automatically generated unique identifier. name (String): User's name. email (String): User's email address. Error Handling HTTP Status Codes: 200 OK: Successful request. 404 Not Found: User not found in the database. 500 Internal Server Error: Internal server error. Dependencies Flask: Python web framework for creating the MongoDB service. PyMongo: MongoDB driver for Python for database operations. MongoDB Atlas: Cloud-based MongoDB database service. Integration Service 1 (GraphQL Service) makes HTTP requests to Service 2 (MongoDB Service) to retrieve user data. Ensure both services are running and accessible for integration. Authentication and Security Implement proper authentication mechanisms for both services. Use environment variables or secure configuration files for sensitive data (e.g., MongoDB URI and API keys).