Awesome

WAM_server_API_template

Template repository for creating API server to dispatch simulation tasks to a queue of workers. The API typically recieves a post request with a json input file, sends this file to a parser which initiate a long simulation (like oemof). Once the simulation is done a json response is sent back. The json results can also be retrieved with the task id.

Get started

Run sudo docker-compose up -d --build to run the task queue and the webapp simulaneously.

Now the webapp is available at 127.0.0.1:5001

Run sudo docker-compose down to shut the services down.

Develop while services are running

Using redis

You have to start redis-server service redis-server start (to stop it use service redis-server stop) Move to task_queue and run . setup_redis.sh to start the celery queue with redis a message broker.

Using RabbitMQ

Using flask

In another terminal go the the root of the repo and run python flask_run.py

Now the flask app is available at 127.0.0.1:5001

Using fastapi

In another terminal go the the root of the repo and run . fastapi_run.sh

Now the flask app is available at 127.0.0.1:5001

While docker runs : https://vsupalov.com/rebuilding-docker-image-development/

RabbitMQ: https://www.rabbitmq.com/getstarted.html

https://riptutorial.com/flask/example/5831/return-a-json-response-from-flask-api

https://docs.celeryproject.org/en/3.1/getting-started/first-steps-with-celery.html#application

Docs

To build the docs simply go to the docs folder

cd docs

Install the requirements

pip install -r docs_requirements.txt

and run

make html

The output will then be located in docs/_build/html and can be opened with your favorite browser

Code linting

Use black . to lint the python files inside the repo