About

Data Transformation API.

Basic Pipeline of Transformation may look like:

• Receive an Image
  • Resize Image to 500x500
  • Add Watermark to Image using URL or Base64 Image as a watermark
  • Grayscale Image
  • Notify any HTTP Service about result completion

API Documentation

API Documentation available after a startup under http://127.0.0.1:8000/api/v1/free/docs/

Requirements

Every Worker may have it's own requirements. Check setup.py for package requirements.

Execution

Using docker-compose: Starts Queue, Database, Workers and API Itself

docker-compose up

# curl -X GET http://127.0.0.1:8000/api/

or

pip install .

cd src 
./manage.py migrate
./manage.py collectstatic
./manage.py sync_processors

redis-server
celery -A core worker -l info --concurrency 8 --max-tasks-per-child 2

env DEBUG=True DJANGO_LOGS_DIR=/tmp/ ./manage.py runserver 8000