# FastAPI and Celery

Learning distributed task queues by doing. Since it's a greenfield project this also uses a newer async web framework.

See: [Celery docs](https://celery-safwan.readthedocs.io/en/latest/index.html)

## Debugging Celery

### Check results in redis result backend

```
docker-compose exec redis sh
redis-cli
KEYS celery*
MGET celery-task-meta-<UID of Task>
```

### Checking results in Flower

Use the flower dashboard at: `0.0.0.0:5557`

### Eager Task Processing

`CELERY_TASK_ALWAYS_EAGER: bool = True` will synchronously execute the celery tasks. This allows us to use things like `breakpoint()` to enter a debugger within the execution context of the task.

Since the app currently uses the fastapi application config for celery config, add `CELERY_TASK_ALWAYS_EAGER=True` to the config class if needed. You don't need to run the worker, message broker, or result backend processes to debug your code. It will process the task within