In this lesson, we’ll finish wiring our FastAPI application to an SQLite database—replacing the previous Faker-based generator. We will:Documentation Index
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- Create a repository module for database operations
- Define a Pydantic request model
- Refactor our router to call the repository
- Integrate the router into the main application
- Test and debug the implementation
This tutorial assumes you have a working FastAPI project structure and
uvicorn installed.Table of Contents
- Module Overview
- 1. Database Repository
- 2. Request Model
- 3. API Endpoint Router
- 4. Main Application Integration
- 5. Testing & Debugging
- 6. Takeaways
- References
Module Overview
| Module | File Path | Responsibility |
|---|---|---|
| Repository Layer | src/data/fake_data_repository.py | Encapsulate SQLite operations |
| Request Validation | src/api/models/fake_data_request.py | Define Pydantic model for requests |
| API Router | src/api/endpoints/router.py | Handle incoming requests and call repo |
| Application Entry Point | src/main.py | Initialize FastAPI and include router |
1. Database Repository
Createsrc/data/fake_data_repository.py to centralize all SQLite interactions following the repository pattern.
2. Request Model
Define a Pydantic model insrc/api/models/fake_data_request.py to validate incoming JSON payloads.
3. API Endpoint Router
Refactor your router insrc/api/endpoints/router.py to delegate data retrieval to the repository.
4. Main Application Integration
Include the endpoint router in your FastAPI app entry point atsrc/main.py.
Always close the database connection in a
finally block to prevent resource leaks.5. Testing & Debugging
-
Start the server with hot reload:
-
Send a POST request to
/api/getfakedata: -
Example successful response:
-
If you encounter
no such table: fake_data, verify your database schema:
6. Takeaways
- Separation of Concerns: Keep database logic in a repository and routing logic in the API layer.
- Validation: Use Pydantic models for input validation and automatic documentation.
- Clean Architecture: Slim routers and well-documented modules lead to maintainable code.
- Automation with Oversight: Tools like GitHub Copilot can accelerate development but always review generated code.
References
- FastAPI Documentation
- SQLite Official Documentation
- Pydantic User Guide
- Uvicorn Server
- Repository Pattern in Python