# Discord Bot Template

Translate command for Another Child Spring server

## Command Usage

### Name

translate - Translate a message into the selected language

### Syntax

translate [lang] [message]

### Description

The translate command will call the Deepl API to translate the message into the chosen lang. The lang parameter can simply be the destination language (source language is automatically detected) but if the user wants to specify the source language it can be formatted like so: `src->dst`

## Limitation

- Deepl API limit to 500.000 characters/month for the free version

## Requirement

- [Docker](https://www.docker.com/products/docker-desktop/)
- [GNU Make](https://www.gnu.org/software/make/) (optional)

## How to install

### DeeplAPI

1. Create an account on [Deepl API](https://www.deepl.com/pro-api)
2. Generate a token

### Project

1. Clone the repo
2. Copy the `config.exemple.toml` and rename it `config.toml`
3. Launch the docker container with `make start` or `docker-compose up -d`
4. Go into the docker container with `make shell` or `docker-compose exec discord-bot bash`
5. Install the dependencies: `yarn install`
6. Compile typescript and run the bot with `yarn dev`

## Notes

- Configuration file format is [TOML](https://toml.io/en/). It is a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages. Read `src/config.ts` to see all possibilities.
- Project use [Inhibitor](https://sheweny.js.org/guide/inhibitors/Inhibitor.html) from `Sheweny`. Inhibitor is a kind of middleware for command. Inhibitors allow you to limit the use of a command, an event, or an interaction.

## Contributions/License

This project has an AGPLv3 license. This project use the `Sheweny` framework with `discord.js` underlying and `BinaryMuse/toml-node` for configuration parsing. To communicate with DeeplAPI, project use the [offical javascript wrapper](https://www.npmjs.com/package/deepl-node).