Skip to content

Latest commit

 

History

History
16 lines (14 loc) · 962 Bytes

README.md

File metadata and controls

16 lines (14 loc) · 962 Bytes
Raw

pyjulapi

A demonstration of how to create a Python API that also calls Julia code.

Quick start

  1. Install docker
  2. Run docker-compose up from this repo's top directory
  3. Create a job with curl -X POST "localhost:8000/job", which will return {"job_uuid": "57ca5074-05cc-4a60-830a-9af9a1b8641e"}
  4. Copy the job_uuid and pass it to the result endpoint with curl -X GET "localhost:8000/result?job_uuid=57ca5074-05cc-4a60-830a-9af9a1b8641e"

Summary

  • The Python Django package is used to create the external API (exposes port 8000).
  • Within Django we use Postgres to store the data.
  • Within Django we use Celery to manage asynchronous tasks, specifically a python task called runjob is kicked off in the job view
  • (Redis is used as the task queue for Celery)
  • The runjob task calls an internal Julia API to further process the job.
  • Results are updated in the Postgres database, which the user can receive via the result endpoint.