https://github.com/gregavrbancic/fastapi-celery

Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.
https://github.com/gregavrbancic/fastapi-celery

celery docker-compose fastapi flower python rabbitmq redis

Last synced: 1 day ago
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Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.

• Host: GitHub
• URL: https://github.com/gregavrbancic/fastapi-celery
• Owner: GregaVrbancic
• Created: 2019-04-12T05:37:37.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-01-25T06:50:02.000Z (11 months ago)
• Last Synced: 2024-12-14T07:07:54.106Z (9 days ago)
• Topics: celery, docker-compose, fastapi, flower, python, rabbitmq, redis
• Language: Python
• Homepage:
• Size: 27.3 KB
• Stars: 529
• Watchers: 9
• Forks: 108
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# FastAPI with Celery

> Minimal example utilizing FastAPI and Celery with RabbitMQ for task queue, Redis for Celery backend and flower for monitoring the Celery tasks.

## Requirements

- Docker

  - [docker-compose](https://docs.docker.com/compose/install/)

## Run example

1. Run command ```docker-compose up```to start up the RabbitMQ, Redis, flower and our application/worker instances.

2. Navigate to the [http://localhost:8000/docs](http://localhost:8000/docs) and execute test API call. You can monitor the execution of the celery tasks in the console logs or navigate to the flower monitoring app at [http://localhost:5555](http://localhost:5555) (username: user, password: test).

## Run application/worker without Docker?

### Requirements/dependencies

- Python >= 3.7

  - [poetry](https://python-poetry.org/docs/#installation)

- RabbitMQ instance

- Redis instance

> The RabbitMQ, Redis and flower services can be started with ```docker-compose -f docker-compose-services.yml up```

### Install dependencies

Execute the following command: ```poetry install --dev```

### Run FastAPI app and Celery worker app

1. Start the FastAPI web application with ```poetry run hypercorn app/main:app --reload```.

2. Start the celery worker with command ```poetry run celery worker -A app.worker.celery_worker -l info -Q test-queue -c 1```

3. Navigate to the [http://localhost:8000/docs](http://localhost:8000/docs) and execute test API call. You can monitor the execution of the celery tasks in the console logs or navigate to the flower monitoring app at [http://localhost:5555](http://localhost:5555) (username: user, password: test).