Question 1

How do I use FastAPI dependencies in a CLI tool with fastapi-injectable?

Accepted Answer

Decorate your function with @injectable and use Depends() as usual. For example, from the quick start, process_data() can be called directly in a CLI script without a web server, injecting dependencies like Database automatically.

Question 2

FastAPI Injectable vs Dependency Injector: which should I choose?

Accepted Answer

FastAPI Injectable is best for extending FastAPI's existing DI without refactoring code, while Dependency Injector offers more features but requires significant changes. Choose based on whether you prioritize minimal disruption or advanced DI capabilities.

Question 3

Can I mix sync and async dependencies in the same function?

Accepted Answer

Yes, fastapi-injectable supports mixing sync and async dependencies seamlessly. Use run_coroutine_sync() to handle async code in sync contexts, as explained in the async support section with examples like async_process_data().

Question 4

How to clean up resources after using generator dependencies?

Accepted Answer

Use cleanup_exit_stack_of_func() for per-function cleanup or cleanup_all_exit_stacks() for bulk cleanup. The package includes error handling via DependencyCleanupError, detailed in the generator dependencies section.

Question 5

When should I use async_get_injected_obj instead of get_injected_obj?

Accepted Answer

Use async_get_injected_obj in async contexts with a running event loop, like Kafka consumers, to avoid 'event loop already running' errors. Use get_injected_obj in sync code or scripts, as outlined in the async function-based approach.

Question 6

Does fastapi-injectable work with existing FastAPI app state?

Accepted Answer

Yes, register your FastAPI app using register_app() to allow dependencies to access app.state, enabling shared services like database connections in non-route contexts such as background tasks, shown in the app registration example.

FastAPI Injectable

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