100% vibe coded btw

A Telegram bot that monitors lab results at https://lablaudo.com.br/acesso_paciente and provides notifications when results are ready. Available as both a Python application and a standalone executable binary.

• 🤖 Interactive Telegram bot interface
• 🔐 Secure credential storage in SQLite database
• ⏰ Automatic monitoring every 30 minutes
• 📱 Instant Telegram notifications when results are ready
• 📄 Automatic PDF download and delivery when results are available
• 🔓 Base64 PDF decoding from embedded HTML responses
• 👥 Multi-user support
• 📊 Status tracking and monitoring history
• ✅ Immediate startup check - Checks all users when bot starts
• 🔄 Auto-removal from monitoring after PDF delivery
• 📦 Standalone executable binary - No Python installation required

# Download the latest release (or build from source)
wget https://github.com/your-repo/lablaudo/releases/latest/download/lablaudo
# Make executable
chmod +x lablaudo
# Run with your bot token
TELEGRAM_BOT_TOKEN=your_bot_token_here ./lablaudo

1. Create and activate virtual environment:

python3 -m venv venv
source venv/bin/activate

2. Install dependencies:

pip install -e .

3. Run in development mode:

export TELEGRAM_BOT_TOKEN=your_bot_token_here
python3 main.py

1. Create a bot with @BotFather on Telegram
2. Get your bot token
3. Run the application (binary or Python)
4. Start a chat with your bot and use /start to begin

• /start - Welcome message and setup instructions
• /add - Add your lab portal credentials
• /remove - Remove your stored credentials
• /check - Check your results immediately
• /status - Show your monitoring status
• /help - Show help message

1. Startup Check: When the bot starts, it immediately checks all stored users for ready results
2. Login: Authenticates with the patient portal using provided credentials
3. Parse Results: Finds all table rows (<tr>) containing lab results
4. Check Status: Examines each row's background color/style for green indicators (bgcolor="#8FF08F" and "Liberado" status)
5. PDF Download: When all results are ready, searches for "Visualizar Laudo" or "Baixar" links
6. Base64 Decoding: Extracts PDF content from embedded base64 data in HTML responses
7. Delivery: Downloads PDF using authenticated session and sends directly to user via Telegram
8. Auto-cleanup: Removes user from monitoring after successful PDF delivery
9. Periodic Monitoring: Continues checking every 30 minutes for remaining users

The bot uses SQLite to store user data:

CREATE TABLE users (
    telegram_id INTEGER PRIMARY KEY,
    username TEXT NOT NULL,
    password TEXT NOT NULL,
    active INTEGER DEFAULT 1,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    last_check TIMESTAMP,
    last_status TEXT
);

• requests: HTTP client for web scraping
• beautifulsoup4: HTML parsing
• python-telegram-bot: Telegram bot framework
• apscheduler: Periodic task scheduling

• Credentials are stored locally in SQLite database
• No data is transmitted to external services except the lab portal
• Bot token should be kept secure and not committed to version control
• PDF files are temporarily processed in memory and not stored on disk

source venv/bin/activate
python3 test_bot.py
python3 test_pdf.py