FastAPI Tutorial: How to use Background Tasks
FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. In this tutorial, we will learn how to use background tasks in FastAPI to perform tasks asynchronously in the background.
What are Background Tasks?
Background tasks allow you to defer long-running tasks while responding to the client request. This separates the request handling from the asynchronous task, allowing for improved performance and responsiveness.
Using Background Tasks in FastAPI
To use background tasks in FastAPI, we need to use the BackgroundTasks
class provided by FastAPI. The BackgroundTasks
class is used to add background tasks to be run after the response is sent to the client.
Here’s an example of how to use background tasks in FastAPI:
from fastapi import BackgroundTasks, FastAPI
app = FastAPI()
def send_email(email: str, message: str):
# Code to send email
print(f"Email sent to {email} with message: {message}")
@app.post("/send-email/")
async def send_email_background_task(email: str, message: str, background_tasks: BackgroundTasks):
background_tasks.add_task(send_email, email, message)
return {"message": "Email to be sent in the background"}
# Running the FastAPI app
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)
In this example, we define a send_email
function to send an email, and then use the background_tasks.add_task()
method to add the send_email
function as a background task. The send_email_background_task
endpoint adds the send_email
function as a background task and returns a message to the client.
Conclusion
Background tasks in FastAPI can be a powerful tool for improving the performance and responsiveness of your API. By using background tasks, you can handle long-running tasks asynchronously, allowing for a more efficient and scalable API.
Thank you for reading this tutorial on using background tasks in FastAPI!
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