# PointsBot ## Overview PointsBot is a Reddit bot that monitors posts in a subreddit, awards points to users who solve problems, and updates their flair to reflect their achievement levels. When the original poster marks a comment as solved (e.g., by replying "!Solved"), the bot awards a point to the solver, tracks their progress, and notifies them with a reply comment. Points accumulate to unlock new levels, and progress is visually represented with stars and progress bars. ## Features - Monitors subreddit posts for solutions - Awards points to users whose comments are marked as solved - Updates user flair based on their point level - Notifies users of their progress and next level - Prevents awarding points to moderators - Consolidates points into stars for easier progress tracking ## Installation (Docker Compose) ### Prerequisites - [Docker](https://docs.docker.com/get-docker/) - [Docker Compose](https://docs.docker.com/compose/install/) ### (Easy) Use a prebuilt image 1. Create a docker-compose.yml file in your chosen directoy, with the following contents: ```yaml services: pointsbot: image: slfhstd.uk/slfhstd/pointsbot:latest container_name: pointsbot volumes: - ./data:/root/.pointsbot restart: unless-stopped ``` 2. Configure the bot: - Pre-create the config file using the sample config. 3. Start the bot: ```bash docker-compose up -d ``` ### (Advanced) Build your own image 1. Clone this repository: ```bash git clone https://slfhstd.uk/slfhstd/PointsBot.git cd PointsBot ``` 2. Create a `docker-compose.yml` file in the project root with the following content: ```yaml services: pointsbot: build: . container_name: pointsbot volumes: - ./data:/root/.pointsbot restart: unless-stopped ``` 3. Configure the bot: - Pre-create the config file using the sample config. 4. Build and start the bot: ```bash docker-compose up --build -d ``` ## Usage - The bot will run in the background and monitor your subreddit. - Configuration and logs are stored in the `.pointsbot` directory. - To stop the bot: ```bash docker-compose down ``` ## License MIT License. See LICENSE.md for details. ## Credits Original author: Collin U. Rapp (u/GlipGlorp7)