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fastapi background tasks and middleware: sentry integration tutorial

this tutorial demonstrates how to leverage background tasks in fastapi for asynchronous operations and integrate sentry for robust error tracking and monitoring. we'll cover setting up background tasks using `backgroundtasks`, handling exceptions gracefully, and implementing sentry middleware for automatic error reporting.

*1. project setup:*

first, create a new project directory and install the necessary packages:



*2. fastapi application with background tasks:*

create `main.py`:



*3. sentry integration:*

*obtain a sentry dsn:* create a new project in sentry (https://sentry.io/). you'll get a dsn (data source name) – a unique identifier for your project. replace `"your_sentry_dsn"` in `main.py` with your actual dsn.
*middleware:* the `sentryasgimiddleware` automatically captures exceptions and sends them to sentry.
*exception handling:* the example includes a custom exception handler to provide a more user-friendly response in case of errors, while sentry still captures the full details for debugging.

*4. running the application:*



*5. testing background tasks and sentry:*

*post request to `/background/`:* send a post request with some data in the body (e.g., using `curl` or postman). this will trigger a background task. check your console for messages indicating the task's progress.
*post request to `/uploadfiles/`:* send a post request with multiple files. this will trigger a background task processing the files.
*error simulation (optional):* uncomment the `try...except` block within `long_running_task` to simulate an error. this will cause sentry to record the exception.
*sentry dashboard:* check your sentry dashboard to see if errors are reported. you should see the exceptions (if any) and the associated stack traces, helping you identify and fix issues.

*6. advanced features:*

*task queues:* for more complex scenarios, con ...

#FastAPI #BackgroundTasks #python
FastAPI
Background Tasks
Middleware
Sentry
Asynchronous Programming
Error Tracking
Performance Monitoring
API Development
Python Web Framework
Request Lifecycle
Task Queues
Exception Handling
Real-time Monitoring
Application Performance
Logging