Python Discord's Code Jam 2024, Contemplative Constellations Team Project

This repository houses the source code of the team project created for Python Discord's Code Jam 2024, developed by Contemplative Constellations team.

Running the bot

To run the bot, you'll first want to install all of the project's dependencies. This is done using the poetry package manager. You may need to download poetry if you don't already have it.

To install the dependencies, you can run the poetry install command. If you only want to run the bot and you're not interested in also developing / contributing, you can also run poetry install --only main, which will skip the development dependencies (tools for linting and testing).

Once done, you will want to activate the virtual environment that poetry has just created for the project. To do so, simply run poetry shell.

You'll now need to configure the bot. See the configuring section

Finally, you can start the bot with python -m src.

Using docker

The project also supports docker installation, which should allow running the project anywhere, without installing all of the dependencies manually. This is a lot more convenient way to run the bot, if you just want to run it and you don't wish to do any actual development.

To use docker, you can check out the images that are automatically built after each update to the main branch at ghcr. You can also use docker compose with the docker-compose.yaml file, which will pull this image from ghcr. To run the container using this file, you can use the following command:

docker compose up

Tip

To run the container in the background, add the -d flag to the command.

If you want to build the image locally (to include some other changes that aren't yet in the main branch, maybe during development or to customize something when deploying), you can also use docker-compose.local.yaml, which defines an image building step from our Dockerfile. To run this local version of docker-compose, you can use the following command:

docker compose -f ./docker-compose.local.yaml up

Important

Note that you will still need to create a .env file with all of the configuration variables (see the configuring section)

Note

By default, the docker container will always use a brand new database. If you wish to persist the database across runs, make sure to modify the docker-compose file and mount the database file. In the container, this file will by default use the /app/database.db path. You can either mount this file from a docker volume or from your file-system using a bind mount.

Configuring the bot

The bot is configured using environment variables. You can either create a .env file and define these variables there, or you can set / export them manually. Using the .env file is generally a better idea and will likely be more convenient.

Variable name	Type	Default	Description
`BOT_TOKEN`	string	N/A	Bot token of the discord application (see: this guide if you don't have one yet)
`TVDB_API_KEY`	string	N/A	API key for TVDB (see this page if you don't have one yet)
`TVDB_RATE_LIMIT_REQUESTS`	int	5	Amount of requests that the bot is allowed to make to the TVDB API within `TVDB_RATE_LIMIT_PERIOD`
`TVDB_RATE_LIMIT_PERIOD`	float	100	Period of time in seconds, within which the bot can make up to `TVDB_RATE_LIMIT_REQUESTS` requests to the TVDB API.
`SQLITE_DATABASE_FILE`	path	./database.db	Path to sqlite database file, can be relative to project root (if the file doesn't yet exists, it will be created)

Debug configuration variables

Variable name	Type	Default	Description
`ECHO_SQL`	bool	0	If `1`, print out every SQL command that SQLAlchemy library runs internally (can be useful when debugging)
`DB_ALWAYS_MIGRATE`	bool	0	If `1`, database migrations will always be performed, even on a new database (instead of just creating the tables).
`DEBUG`	bool	0	If `1`, debug logs will be enabled, if `0` only info logs and above will be shown
`LOG_FILE`	path	N/A	If set, also write the logs into given file, otherwise, only print them
`TRACE_LEVEL_FILTER`	custom	N/A	Configuration for trace level logging, see: trace logs config section

Trace logs config

We have a custom trace log level for the bot, which can be used for debugging purposes. This level is below debug and can only be enabled if DEBUG=1. This log level is controlled through the TRACE_LEVEL_FILTER environment variable. It works in the following way: