pht-station 0.2.2

Python library for handling containerized PHT trains

PHT Station Backend

This project contains the implementation of the station API, workers for training models, as well as the configuration for the station airflow instance and related workers. A FastAPI REST API als well as a command line tool for train and station management can be found in the station directory.

Setup development environment

Checkout the repository and navigate to project directory.

git clone https://github.com/PHT-Medic/station-backend.git

cd station-backend

Prerequisites

Make sure the following ports required for the services are open or change the port mappings in the docker-compose.yml file.

• Postgres: 5432
• Redis: 6379
• Minio: 9000 & 9001 (Console)
• Airflow: 8080
• Blaze FHIR server: 9090
• API: 8000

Start services

Start the services for development using docker-compose.

docker compose up -d

Check the logs of the services to see if everything is running as expected.

docker compose logs -f

Configure station config for running the API in development mode

Copy the station_config.yml.tmpl file in the root directory to station_config.yml and adjust the values (especially configuring addresses and credentials for the central api)

# Configure authentication for central services
central:
  api_url: ""
  # Robot credentials for accessing central services, these can be obtained in the central UI
  robot_id: "central-robot-id"
  robot_secret: "central-robot-secret"
  private_key: "/path/to/private_key.pem"
  # optional password for private key
  private_key_passphrase: "admin"

######### some lines omitted #########

# Configures the address and credentials for the central container registry
registry:
  address:
  password:
  user:
  project:

Install python dependencies

Install dependencies using poetry. This will also create a virtual environment for the project.

poetry install --with dev

Run the station API

To run the station API with hot reloading, run the following command:

poetry run python station/app/run_station.py