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https://github.com/dev-connor/reverse1999-damage-calculator


https://github.com/dev-connor/reverse1999-damage-calculator

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README

        

# reverse1999_damage_calculator

This project was generated using fastapi_template.

## Poetry

This project uses poetry. It's a modern dependency management
tool.

To run the project use this set of commands:

```bash
poetry install
poetry run python -m reverse1999_damage_calculator
```

This will start the server on the configured host.

You can find swagger documentation at `/api/docs`.

You can read more about poetry here: https://python-poetry.org/

## Docker

You can start the project with docker using this command:

```bash
docker-compose -f deploy/docker-compose.yml --project-directory . up --build
```

If you want to develop in docker with autoreload add `-f deploy/docker-compose.dev.yml` to your docker command.
Like this:

```bash
docker-compose -f deploy/docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . up --build
```

This command exposes the web application on port 8000, mounts current directory and enables autoreload.

But you have to rebuild image every time you modify `poetry.lock` or `pyproject.toml` with this command:

```bash
docker-compose -f deploy/docker-compose.yml --project-directory . build
```

## Project structure

```bash
$ tree "reverse1999_damage_calculator"
reverse1999_damage_calculator
├── conftest.py # Fixtures for all tests.
├── __main__.py # Startup script. Starts uvicorn.
├── services # Package for different external services such as rabbit or redis etc.
├── settings.py # Main configuration settings for project.
├── templates # Static content.
├── tests # Tests for project.
└── web # Package contains web server. Handlers, startup config.
├── api # Package with all handlers.
│   └── router.py # Main router.
├── application.py # FastAPI application configuration.
└── lifetime.py # Contains actions to perform on startup and shutdown.
```

## Configuration

This application can be configured with environment variables.

You can create `.env` file in the root directory and place all
environment variables here.

All environment variables should start with "REVERSE1999_DAMAGE_CALCULATOR_" prefix.

For example if you see in your "reverse1999_damage_calculator/settings.py" a variable named like
`random_parameter`, you should provide the "REVERSE1999_DAMAGE_CALCULATOR_RANDOM_PARAMETER"
variable to configure the value. This behaviour can be changed by overriding `env_prefix` property
in `reverse1999_damage_calculator.settings.Settings.Config`.

An example of .env file:
```bash
REVERSE1999_DAMAGE_CALCULATOR_RELOAD="True"
REVERSE1999_DAMAGE_CALCULATOR_PORT="8000"
REVERSE1999_DAMAGE_CALCULATOR_ENVIRONMENT="dev"
```

You can read more about BaseSettings class here: https://pydantic-docs.helpmanual.io/usage/settings/

## Pre-commit

To install pre-commit simply run inside the shell:
```bash
pre-commit install
```

pre-commit is very useful to check your code before publishing it.
It's configured using .pre-commit-config.yaml file.

By default it runs:
* black (formats your code);
* mypy (validates types);
* isort (sorts imports in all files);
* flake8 (spots possible bugs);

You can read more about pre-commit here: https://pre-commit.com/

## Running tests

If you want to run it in docker, simply run:

```bash
docker-compose -f deploy/docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . run --build --rm api pytest -vv .
docker-compose -f deploy/docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . down
```

For running tests on your local machine.

2. Run the pytest.
```bash
pytest -vv .
```