APIthon

Python API for piloting windows automation for Marvelous using FastAPI, Celery and Flower Interface.

Acknowledgements

• CELERY Queue Documentation
• FastAPI Background Tasking
• FastAPI WebSocket

API Reference

Get task status

  GET /taskstatus

Parameter	Type	Description
task_id	string	REQUIRED Your task id

Post simulate

  POST /simulate

Parameter	Type	Description
garment_id	string	REQUIRED Id of the garment to simulate
user_id	string	REQUIRED Id of the user to save simulation
folder_path	string	REQUIRED Folder path for sftp management

Environment Variables

To run this project, you will need to add the following environment variables to your .env file or directly to the docker-compose.yml environment variables.

CELERY_BROKER_URL=redis://redis:6379/0

CELERY_RESULT_BACKEND=redis://redis:6379/0

C_FORCE_ROOT=true

docker-compose Stack

    environment:
        - CELERY_BROKER_URL=redis://redis:6379/0
        - CELERY_RESULT_BACKEND=redis://redis:6379/0
        - C_FORCE_ROOT=true

Deployment

To deploy this project run :

  cd APIthon
  docker-compose up --build

Flower Task Manager Interface

Flower is a task manager connected to Celery to view, manage and control all your celery's workers and theirs jobs/requests. You can check all the requests standing in the queue of a worker, view the priority assigned to certains jobs and see their processing.

Flower Interface