When you want to redirect to a GET after a POST, the best practice is to redirect with a 303 status code, so just update your code to: # … return RedirectResponse(redirect_url, status_code=303) As you’ve noticed, redirecting with 307 keeps the HTTP method and body. Fully working example: from fastapi import FastAPI, APIRouter, Request from … Read more
I think you should add a config class with orm_mode set to True in your Schema/Model class class DataModelOut(BaseModel): message: str = “” id: str = “” input_data: dict = None result: List[dict] = [] statusCode: int class Config: orm_mode=True
Option 1 You could store the custom class object to the app instance, which allows you to store arbitrary extra state using the generic the app.state attribute, as demonstrated here, as well as here and here. To access the app.state attribute, and subsequently the object, outside the main file (for instance, from a routers submodule … Read more
The 422 error response body will contain an error message about which field(s) is missing or doesn’t match the expected format. Since you haven’t provided that (please do so), my guess is that the error is triggered due to how you defined the images parameter in your endpoint. Since images is expected to be a … Read more
Setting the host flag to 0.0.0.0 To access a FastAPI backend from a different machine/IP (than the local machine that is running the server) on the same network, you would need to make sure that the host flag is set to 0.0.0.0. The IP address 0.0.0.0 means all IPv4 addresses on the local machine. If … Read more
Approach 1 (recommended) As mentioned in this answer, as well as here and here, when the entire data (a DataFrame in your case) is already loaded into memory, there is no need to use StreamingResponse. StreamingResponse makes sense when you want to transfer real-time data and when you don’t know the size of your output … Read more
Option 1 You should start your Thread before calling uvicorn.run, as uvicorn.run is blocking the thread. import time import threading from fastapi import FastAPI import uvicorn app = FastAPI() class BackgroundTasks(threading.Thread): def run(self,*args,**kwargs): while True: print(‘Hello’) time.sleep(5) if __name__ == ‘__main__’: t = BackgroundTasks() t.start() uvicorn.run(app, host=”0.0.0.0″, port=8000) You could also start your thread using … Read more
The below shows four different ways of returning the data stored in a .csv file/Pandas DataFrame (for solutions without using Pandas DataFrame, have a look here). Related answers on how to efficiently return a large dataframe can be found here and here as well. Option 1 The first option is to convert the file data … Read more
Below are given various options on how to convert an uploaded file to FastAPI into a Pandas DataFrame. If you would also like to convert the DataFrame into JSON and return it to the client, have a look at this answer. If you would like to use an async def endpoint instead of def, please … Read more
Option 1 You can have the category name defined as Form parameter in the backend, and submit a POST request from the frontend using an HTML <form>, as described in Method 1 of this answer. app.py from fastapi import FastAPI, Form, Request from fastapi.responses import HTMLResponse from fastapi.templating import Jinja2Templates app = FastAPI() templates = … Read more