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[tenkus47]

SQLite to PostgreSQL Migration and API Development

Description

The goal of this project is to migrate an existing SQLite database to PostgreSQL and build a FastAPI-based application to provide API endpoints for interacting with the data. The project involves data migration, API development, and deployment to a production-ready environment.

Subtasks

• [x] 1. Migrate SQLite Database to PostgreSQL

• Analyze the Database Schema

  • Understand the structure of the SQLite database, including tables, relationships, indexes, and constraints.

• Export SQLite Schema and Data

  • Use tools like sqlite3 or sqlalchemy to export the schema and data from SQLite. Ensure that the schema is compatible with PostgreSQL syntax.

• Transform Schema for PostgreSQL

  • Modify the schema to align with PostgreSQL-specific features and data types. Address any incompatibilities.

• Import Data into PostgreSQL

  • Use tools like pgloader or custom scripts to load the data into PostgreSQL, table by table. Verify the integrity and consistency of the migrated data.

• Validate the Migration

  • Compare the data between the SQLite and PostgreSQL databases to ensure accuracy. Perform checks for row counts, primary keys, and constraints.

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• [x] 2. Create FastAPI Endpoints

• Set Up the FastAPI Project

  • Initialize a FastAPI project structure.
  • Configure the PostgreSQL database connection using an ORM like SQLAlchemy or Tortoise ORM.

• Define Models and Schema

  • Create database models using an ORM to map the PostgreSQL tables.
  • Define Pydantic models for request and response validation.

• Build CRUD Endpoints

  • Develop endpoints to perform Create, Read, Update, and Delete operations for each table in the database.
  • Include filtering, pagination, and sorting where appropriate.

• Test the API Locally

  • Use tools like Postman or Swagger UI (integrated into FastAPI) to test each endpoint.
  • Write unit tests and integration tests to validate functionality.

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• [x] 3. Deploy the FastAPI Application

• Prepare the Deployment Environment

  • Set up a production-ready environment (e.g., Docker container, virtual machine, or managed cloud service).
  • Configure PostgreSQL in the target environment.

• Deploy with Docker (Optional)

  • Create a Dockerfile for the FastAPI application.
  • Use docker-compose to deploy the application along with the PostgreSQL database.

• Configure Server Settings

  • Set up environment variables for sensitive information like database credentials.
  • Use a web server (e.g., Nginx or Gunicorn) to serve the FastAPI application.

• Test the Deployed API

  • Test the API in the production environment to ensure reliability and performance.

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Deliverables

• PostgreSQL database containing migrated data.
• FastAPI application with documented endpoints.
• Deployed API accessible for production use.