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🔥 FastAPI in Production: Build, Scale & Deploy – Series A: Codebase Design
- The article is part of a series on building FastAPI codebases focusing on project structure, environment setup, dependency injection, and async I/O-bound API calls.
- It emphasizes creating a clean, modular, and tested foundation for Python applications, drawing from real-world production experience.
- The project structure overview includes modules like base, movies, tv series, shared, tests, and more, highlighting the organization of code and functionalities.
- Project initialization involves setting up directories, files, and starting the FastAPI application using uvicorn with live reload enabled.
- Request lifecycle in FastAPI involves routing, controllers, services, and tasks for handling HTTP requests, business logic, and async operations.
- The testing section covers configuring pytest, unittest, and coverage tools to ensure comprehensive testing of controller and service modules.
- In conclusion, the article focuses on project structure, request flow, and testing strategies to build a scalable FastAPI application.
- Key takeaways include the importance of project organization, clear responsibility separation, and robust testing for code maintainability.
- The article sets the stage for upcoming topics such as background tasks for CPU-bound operations in Part 2 of the series.
- Overall, the article provides practical insights into building production-ready FastAPI applications with a focus on scalability and maintainability.
- The author shares personal experiences and aims to bridge the gap between theoretical tutorials and real-world application development.
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