Added a volume to the `matrix-gptbot` service configuration in `docker-compose.yml`, mounting the local `database.db` file into the container. This change enables persistent storage for the bot's data, ensuring that data is not lost when the container is restarted or redeployed. It enhances data management and allows for more robust operation of the bot service by leveraging persistency.
This development is crucial for scenarios requiring data retention across bot updates and system maintenance activities.
- Included the `ffmpeg` package in the Docker environment to support multimedia content processing.
- Added `trackingmore-api-tool` as a dependency to expand the bot's functionality with tracking capabilities.
- Adjusted the `all` dependencies list in `pyproject.toml` to include the `trackingmore` module, indicating a broader feature set for the application.
- Updated the bot class to prepare for integrating `TrackingMore` alongside existing services like `OpenAI` and `WolframAlpha`, highlighting an intention to make such integrations configurable in the future.
This enhancement enables the bot to interact with multimedia content more effectively and introduces package tracking features, laying groundwork for configurable service integrations.
