Simple fastapi skeleton for a stateless microservice (application for ml models, optimization, ...)

To run the service manually in debug mode install the required python dependencies:

poetry install

You can run the service in debug mode without gunicorn:

./run_debug.sh

To build the Docker image:

docker build -t "fastapi-api:latest" . --build-arg FASTAPI_ENV=develop

To run the Docker image:

docker run -p 5000:5000 -ti fastapi-api:latest

To check that the service is alive, run:

curl -X GET "http://localhost:5000/health" -H "accept: application/json"

curl -X GET "http://localhost:5000/v1/health" -H "accept: application/json"

The user interface for the API is defined in http://localhost:5000/docs endpoint.

To run the tests:

poetry run python -m pytest --verbose --cov=./