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- Add core modules: database (SQLite), media (ffmpeg), discord (webhook), poller (truthbrush), server (FastAPI) - Support video transcoding to H.264/AAC with automatic size management - Handle message splitting for Discord limits (2000 chars, 10 attachments) - Include interactive buttons (Delete, View Raw, Original Post) - Add Dockerfile with ffmpeg and entrypoint script - Add Gitea Actions workflow for CI/CD - Configure code style tools (black, ruff, mypy) - Include basic unit tests Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
3.8 KiB
3.8 KiB
Pravda
A Python-based Dockerized service that monitors Truth Social feeds and relays posts to Discord via webhooks. Features intelligent media handling (transcoding/splitting) and interactive message components.
Features
- Monitors Truth Social feeds using the
truthbrushlibrary - Relays posts to Discord with full media support
- Automatic video transcoding to H.264/AAC for Discord compatibility
- Smart file size management (keeps videos under 50MB)
- Message splitting for long posts (Discord's 2000 char limit)
- Interactive buttons for deleting messages and viewing raw post data
- SQLite database for tracking processed posts
- FastAPI server for handling Discord interaction webhooks
Requirements
- Python 3.12+
- Docker (for containerized deployment)
- ffmpeg (for video transcoding)
- A Discord webhook URL
- A Discord application (for interaction components)
Environment Variables
| Variable | Description | Required |
|---|---|---|
DISCORD_WEBHOOK |
Discord Webhook URL for posting messages | Yes |
DISCORD_APPLICATION_ID |
Discord Application ID for components | Yes |
DISCORD_PUBLIC_KEY |
Public Key for verifying interaction signatures | Yes (if using interactions) |
POLL_INTERVAL |
Seconds between checks (default: 300) | No |
TRUTH_USER |
Target username (default: realDonaldTrump) | No |
DB_PATH |
Path to SQLite DB (default: /data/seen.db) | No |
Quick Start
Local Development
# Install dependencies
pip install -r requirements.txt
# Set environment variables
export DISCORD_WEBHOOK="your_webhook_url"
export DISCORD_APPLICATION_ID="your_app_id"
export DISCORD_PUBLIC_KEY="your_public_key"
# Run locally
python main.py
Docker
# Build image
docker build -t pravda .
# Run in daemon mode (Poller + Server)
docker run -d \
-e DISCORD_WEBHOOK="your_webhook_url" \
-e DISCORD_APPLICATION_ID="your_app_id" \
-e DISCORD_PUBLIC_KEY="your_public_key" \
-v $(pwd)/data:/data \
-p 8080:8080 \
pravda
# One-off mode: relay a specific post
docker run --rm \
-e DISCORD_WEBHOOK="your_webhook_url" \
pravda https://truthsocial.com/@realDonaldTrump/posts/123456789
Architecture
The application runs two concurrent processes:
-
The Poller: Loops infinitely, checking for new posts. Processed posts are cached in SQLite to prevent duplicates.
-
The Server: A FastAPI instance listening on port 8080 to handle Discord interaction webhooks (button clicks).
Interaction Endpoints
POST /interactions- Discord interaction webhook handlerGET /health- Health check endpoint
Discord Components
Messages include interactive buttons:
- Delete: Removes the message (requires MANAGE_MESSAGES permission)
- View Raw: Shows the raw post JSON (ephemeral)
- Original Post: Links to the original Truth Social post
Media Handling
- Images: Downloaded and attached directly
- Videos: Transcoded to H.264/AAC MP4 format
- Automatically scaled down if over 50MB
- Resolution reduced progressively (720p, then 480p) if needed
Development
# Install dev dependencies
pip install -r requirements.txt
pip install black ruff mypy pytest
# Format code
black .
# Lint
ruff check .
# Type check
mypy .
# Run tests
pytest
Project Structure
pravda/
├── main.py # Application entrypoint
├── src/
│ ├── __init__.py
│ ├── database.py # SQLite operations
│ ├── discord.py # Discord webhook handling
│ ├── media.py # Media processing (ffmpeg)
│ ├── poller.py # Truth Social polling
│ └── server.py # FastAPI interaction handler
├── Dockerfile
├── entrypoint.sh
├── requirements.txt
├── pyproject.toml
└── .gitea/
└── workflows/
└── build-push.yaml
License
MIT