Workshops API | InNoHassle ecosystem

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About

This is the FastAPI ASGI application.

Technologies

• Python 3.12 & Poetry
• FastAPI & Granian
• Database and ORM: PostgreSQL, SQLAlchemy, Alembic
• Formatting and linting: Ruff, pre-commit
• Deployment: Docker, Docker Compose, GitHub Actions

Development

Getting started

1. Install Python 3.12+

2. Install Poetry

3. Install project dependencies with Poetry.

   poetry install

4. Set up pre-commit hooks:

   poetry run pre-commit install --install-hooks -t pre-commit -t commit-msg

5. Set up project settings file (check settings.schema.yaml for more info).

   cp settings.example.yaml settings.yaml

   Edit settings.yaml according to your needs.

6. Set up a PostgreSQL database instance.

   Using docker container

   • Set up database settings for docker-compose container in .env file:х

     cp .example.env .env

   • Run the database instance:

     docker compose up -d db

   • Make sure to set up the actual database connection in settings.yaml, for example:

     database:
       uri: postgresql+asyncpg://postgres:postgres@localhost:5432/postgres

   Using pgAdmin

   • Connect to the PostgreSQL server using pgAdmin
   • Set up a new database in the server: Edit > New Object > New database
   • Use the database name in settings.yaml file, for example db_name:

     database:
       uri: postgresql+asyncpg://postgres:your_password@localhost:5432/db_name

Set up PyCharm integrations

1. Ruff (plugin). It will lint and format your code. Make sure to enable Use ruff format option in plugin settings.
2. Pydantic (plugin). It will fix PyCharm issues with type-hinting.
3. Conventional commits (plugin). It will help you to write conventional commits.

Run for development

1. Run the database if you have not done it yet
2. Upgrade the database schema using alembic:

   poetry run alembic upgrade head

3. Run the ASGI server

   poetry run python -m src.api

   OR using uvicorn directly

   poetry run uvicorn src.api.app:app --use-colors --proxy-headers --forwarded-allow-ips=*

Now the API is running on http://localhost:8000. Good job!

Deployment

We use Docker with Docker Compose plugin to run the service on servers.

1. Copy the file with environment variables: cp .example.env .env
2. Change environment variables in the .env file
3. Copy the file with settings: cp settings.example.yaml settings.yaml
4. Change settings in the settings.yaml file according to your needs (check settings.schema.yaml for more info)
5. Install Docker with Docker Compose
6. Build a Docker image: docker compose build --pull
7. Run the container: docker compose up --detach
8. Check the logs: docker compose logs -f

How to update dependencies

Project dependencies

1. Run poetry update to update all dependencies (it may update nothing, so double-check)
2. Run poetry show --outdated --all to check for outdated dependencies
3. Run poetry add <package>@latest to add a new dependency if needed

Pre-commit hooks

1. Run poetry run pre-commit autoupdate

Also, Dependabot will help you to keep your dependencies up-to-date, see dependabot.yml.