README.md
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# Python Daemon
The official Python Daemon of Cryptic
## Documentation
The documentation can be found on [GitHub Pages](https://cryptic-game.github.io/python-daemon/).
If you want to build the documentation yourself, use the `docs` script:
```
pipenv sync --dev
pipenv run docs
```
Note that you need to have [Docker](https://www.docker.com/) installed for this!
## Development
### Prerequisites
- [Python](https://python.org/) >=3.9
- [Pipenv](https://github.com/pypa/pipenv/)
- [Black](https://github.com/psf/black/)
- [Git](https://git-scm.com/)
- [Docker](https://www.docker.com/) and [docker-compose](https://docs.docker.com/compose/) (recommended)
- [PyCharm Community/Professional](https://www.jetbrains.com/pycharm/) (recommended)
- [An instance of the Cryptic Java Server](https://github.com/cryptic-game/java-backend) (recommended)
### Clone the repository
#### SSH (recommended)
```
git clone git@github.com:cryptic-game/python-daemon.git
```
#### HTTPS
```
git clone https://github.com/cryptic-game/python-daemon.git
```
### Setup Dependencies
Once you have cloned the repository, you need to create a virtual environment and install the dependencies using the following command:
```
pipenv sync --dev
```
### Environment Variables
To set the required environment variables it is necessary to create a file named (exactly) [`.env`](https://pipenv.pypa.io/en/latest/advanced/#automatic-loading-of-env) in the root directory (there is a template for this file in [`daemon.env`](daemon.env)).
| Variable Name | Description | Default Value |
|:--------------------|:------------------------------------------------------------|:---------------------|
| LOG_LEVEL | one of `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL` | `INFO` |
| | | |
| HOST | Host for the uvicorn server to listen on | `0.0.0.0` |
| PORT | Port for the uvicorn server to listen on | `8000` |
| RELOAD | Enable uvicorn auto-reload (for development purposes only!) | `False` |
| DEBUG | Enable debug mode | `False` |
| | | |
| API_TOKEN | Secret api token for server-daemon communication | |
| | | |
| SQL_DRIVER | Name of the SQL connection driver | `postgresql+asyncpg` |
| SQL_HOST | Hostname of the database server | `localhost` |
| SQL_PORT | Port on which the database server is running | `5432` |
| SQL_DATABASE | Name of the database you want to use | `cryptic` |
| SQL_USERNAME | Username for the database account | `cryptic` |
| SQL_PASSWORD | Password for the database account | `cryptic` |
| POOL_RECYCLE | Number of seconds between db connection recycling | `300` |
| POOL_SIZE | Size of the connection pool | `20` |
| MAX_OVERFLOW | The maximum overflow size of the connection pool | `20` |
| SQL_SHOW_STATEMENTS | whether SQL queries should be logged | `False` |
| SQL_CREATE_TABLES | whether to create database tables on startup | `False` |
| | | |
| REDIS_HOST | Hostname of the redis server | `redis` |
| REDIS_PORT | Port on which the redis server is running | `6379` |
| REDIS_DB | Index of the redis database you want to use | `0` |
| | | |
| SENTRY_DSN | [Optional] Sentry DSN for logging | |
### Project structure
```
Project
├── daemon
│ ├── endpoints
│ │ ├── __init__.py
│ │ └── <endpoint collection>.py
│ ├── exceptions
│ │ ├── api_exception.py
│ │ └── <endpoint collection>.py
│ ├── models
│ │ └── <endpoint collection>.py
│ └── schemas
│ ├── <endpoint collection>.py
│ ├── daemon.py
│ └── ok.py
└── tests
├── endpoints
│ ├── __init__.py
│ └── test_<endpoint collection>.py
└── test_<...>.py
```
### PyCharm configuration
- Open PyCharm and go to `Settings` ➔ `Project: python-daemon` ➔ `Python Interpreter`
- Open the menu `Python Interpreter` and click on `Show All...`
- Click on the plus symbol
- Click on `Pipenv Environment`
- Select `Python 3.9` as `Base interpreter`
- Confirm with `OK`
- Change the working directory to root path ➔ `Edit Configurations` ➔ `Working directory`
### Running
To run the Python Daemon yourself, use the `daemon` script:
```
pipenv run daemon
```
### Code Style
Before committing your changes, please check that all unit tests are passing, reformat your code using [black](https://github.com/psf/black) and run the linter:
```
pipenv run test
pipenv run black
pipenv run flake8
```