8 I would like to create an endpoint in FastAPI that might receive either multipart/form-data or JSON body. Is there a way I can make such an endpoint accept either, or detect which type of data is receiving?
The FastAPI Advanced Dependencies guide has a couple examples, specifically oriented around classes. But in your example, so long as verify_token("red") returns a callable with the right syntax and type annotations, FastAPI can use it as a dependency. The easy way is to have the function return another function:
When I use FastAPI , how can I sepcify a base path for the web-service? To put it another way - are there arguments to the FastAPI object that can set the end-point and any others I define, to a different root path?
app.mount(mount_path, sub_app) How can I register startup/shutdown handlers for the sub app? All solutions I could find either require control over the lifespan generator (which I don't have) or involve deprecated methods like add_event_handler (which doesn't work when lifespan is set).
Shortly after, FastAPI’s creator deprecated the tiangolo/uvicorn-gunicorn-fastapi Docker image, stating: Now that Uvicorn supports managing workers with --workers, including restarting dead ones, there's no need for Gunicorn. Starting with FastAPI 0.110, the fastapi run CLI is just a thin wrapper around this new Uvicorn supervisor.
uvicorn main:app Since we are not calling any python file directly, it is not possible to call uvicorn command from Pycharm. So, How can I run the fast-api server using Pycharm?
I tried to put the line app=FastAPI() in a try-catch block, however, it doesn't work. Is there any way I can handle this issue with own response instead of the above mentioned auto response?
I have a FastAPI application that I am running on port 30000 using Uvicorn programmatically. Now I want to run the same application on port 8443 too. The same application needs to run on both these...
Below are given two options (with complete code samples) on how to stream (live) video using FastAPI and OpenCV. Option 1 demonstrates an approach based on your question using the HTTP protocol and FastAPI/Starlette's StreamingResponse.
