Morning Press 📰

A Python application that generates a beautiful daily newspaper in PDF format, combining news from multiple sources:

• Hacker News
• RTS (Radio Télévision Suisse)
• Le Temps
• Weather information
• Quote of the day

The content is automatically summarized and translated to French using AI, and formatted in an elegant three-column newspaper layout.

Features

• 🌐 Multi-source news aggregation
• 🤖 AI-powered content summarization
• 🇫🇷 French translation of content
• 📊 Three-column newspaper layout
• 🖨️ Optional direct printing support
• 🌡️ Local weather information
• 💭 Daily inspirational quote
• 📝 Hacker News discussion analysis

Prerequisites

• Python 3.11 or higher
• Poetry (Python package manager)
• OpenAI API key

Installation

1. Install Poetry if you haven't already:

curl -sSL https://install.python-poetry.org | python3 -

2. Clone the repository:

git clone https://github.com/yourusername/morning-press.git
cd morning-press

3. Install dependencies using Poetry:

poetry install

Configuration

1. Copy the example environment file:

cp .env.example .env

2. Edit .env and add your OpenAI API key:

OPENAI_API_KEY=your_openai_api_key_here

3. (Optional) Configure printer name in daily_newspaper.py if you want automatic printing:

PRINTER_NAME = "YOUR_PRINTER_NAME"  # Leave empty for default printer

Usage

Run the script with optional parameters:

poetry run python daily_newspaper.py [options]

Available options:

• --use-cache: Use cached content if available
• --print: Automatically print the generated PDF
• --articles N: Number of articles to fetch per source (default: 5)
• --pages N: Number of pages to generate (default: 2)

Examples:

# Generate with default settings (2 pages, 5 articles per source)
poetry run python daily_newspaper.py

# Generate a 3-page newspaper with 7 articles per source
poetry run python daily_newspaper.py --pages 3 --articles 7

# Use cached content and print automatically
poetry run python daily_newspaper.py --use-cache --print

The application will:

1. Fetch news from all sources (or use cache if specified)
2. Summarize and translate content
3. Generate a PDF in the press directory
4. Optionally print the newspaper if --print is used or printer is configured

PDF Output

The generated PDF will be saved in the press directory with a timestamp:

press/morning_press_YYYYMMDD_HHMMSS.pdf

Customization

You can modify the following settings in daily_newspaper.py:

• MAX_ITEMS: Number of articles to fetch from each source (default: 5)
• DEFAULT_LANGUAGE: Language for summaries and translations (default: "french")
• CITY_NAME, MORGES_LAT, MORGES_LON: Location for weather information
• SUMMARY_MAX_TOKENS: Length of article summaries
• SUMMARY_TEMPERATURE: AI creativity level for summaries

Dependencies

The project uses several key libraries:

• openai: For AI-powered summarization and translation
• reportlab: For PDF generation
• feedparser: For RSS feed parsing
• beautifulsoup4: For web scraping
• requests: For API calls
• babel: For date localization

Troubleshooting

Common Issues

1. OpenAI API Error:

   • Verify your API key is correct
   • Check your OpenAI account has sufficient credits

2. PDF Generation Error:

   • Ensure the press directory exists and is writable
   • Check available disk space

3. Printing Error:

   • Verify printer name if configured
   • Check printer is online and accessible

Locale Issues

If you see locale warnings, install the required locale:

# On Ubuntu/Debian
sudo locale-gen fr_FR.UTF-8
sudo update-locale

# On macOS
brew install gettext

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.