The Data Packet Documentation¶

Welcome to The Data Packet’s documentation!

The Data Packet is an AI-powered automated podcast generation system that transforms tech news articles into engaging podcast content. It combines web scraping, AI script generation, and text-to-speech to create complete podcast episodes from start to finish.

What It Does¶

The Data Packet automates the entire podcast creation workflow:

📰 Article Collection: Scrapes latest tech news from Wired.com and TechCrunch via RSS feeds
🤖 Script Generation: Uses Anthropic Claude AI to create engaging dialogue scripts
🎙️ Audio Production: Generates multi-speaker audio using Google Cloud Text-to-Speech Long Audio Synthesis
�️ Episode Tracking: Optional MongoDB integration for article deduplication and episode metadata
📦 Podcast Distribution: Creates RSS feeds and uploads to AWS S3 for hosting
🔄 Complete Automation: Runs the entire pipeline with a single command

Key Features¶

🐳 Docker-First Deployment: Run anywhere with consistent environment
🤖 AI-Powered Content: Claude for natural dialogue, Google Cloud TTS for professional voices
⚙️ Highly Configurable: Multiple voices, show formats, and content categories
🔒 Production Ready: Robust error handling, logging, and security
📊 Monitoring & Analytics: Comprehensive logging and status tracking
🚀 CI/CD Integration: GitHub Actions for automated builds and releases

Quick Start¶

Docker Deployment (Recommended)¶

# Pull the latest image
docker pull ghcr.io/thewintershadow/the-data-packet:latest

# Run with your API keys
docker run --rm \\
  -e ANTHROPIC_API_KEY="your-claude-key" \\
  -e GOOGLE_CREDENTIALS_PATH="/path/to/credentials.json" \\
  -e GCS_BUCKET_NAME="your-audio-bucket" \\
  -v "$(pwd)/output:/app/output" \\
  -v "$(pwd)/credentials.json:/path/to/credentials.json" \\
  ghcr.io/thewintershadow/the-data-packet:latest

Python Installation¶

pip install the-data-packet

Basic Usage¶

from the_data_packet import PodcastPipeline, get_config

# Create configuration and run the complete pipeline
config = get_config(show_name="Tech Brief", max_articles_per_source=1)
pipeline = PodcastPipeline(config)
result = pipeline.run()

if result.success:
    print(f"Podcast generated: {result.audio_path}")
    if result.rss_path:
        print(f"RSS feed: {result.rss_path}")

Command Line Interface¶

# Generate complete podcast episode
the-data-packet --output ./episode

# Generate script only
the-data-packet --script-only --output ./scripts

# Custom configuration
the-data-packet \\
  --show-name "Tech Brief" \\
  --voice-a en-US-Studio-MultiSpeaker-R \\
  --voice-b en-US-Studio-MultiSpeaker-S \\
  --gcs-bucket-name your-audio-bucket \\
  --sources wired techcrunch \\
  --categories security ai

Architecture Overview¶

The Data Packet is built with a modular architecture:

Core: Configuration, exceptions, logging
Sources: Article collection from news websites
Generation: AI script and audio generation
Utils: MongoDB integration, S3 storage, HTTP clients
Workflows: End-to-end pipeline orchestration

Package Structure¶

Development:

Indices and tables¶

📊 Coverage Report