csv2sendy 1.0.4

A CSV processor for Sendy.co with Brazilian data format support

CSV2Sendy

A powerful CSV processor for Sendy.co with Brazilian data format support.

Documentation | GitHub Repository

🌟 Features

• 🔄 Intelligent CSV Processing

  • Auto-detection of delimiters (, or ;)
  • Multiple encoding support (utf-8-sig, latin1, iso-8859-1, cp1252)
  • Smart column mapping and normalization
  • Robust error handling

• 📧 Email Validation

  • RFC-compliant email validation
  • Case normalization
  • Duplicate removal
  • Invalid email filtering

• 📱 Phone Number Processing

  • Brazilian format support
  • Format standardization
  • Invalid number filtering
  • DDD (area code) validation

• 👤 Name Processing

  • First/last name splitting
  • Proper capitalization
  • Special character handling
  • Empty name filtering

• 🌐 Web Interface

  • File upload and processing
  • Column mapping
  • Tag management
  • CSV download

• 🔒 Security

  • Secure file handling
  • Automatic file cleanup
  • Input sanitization
  • File size limits

📦 Installation

Using pip

pip install csv2sendy

From source

git clone https://github.com/skaisser/csv2sendy.git
cd csv2sendy
pip install -e ".[dev]"

🚀 Quick Start

Web Interface

# Start the web server
python -m csv2sendy.web.app

Visit http://localhost:8080 in your browser.

Command Line Interface (CLI)

# Start the web server on default port (8080)
csv2sendy

# Start the web server on a specific port
csv2sendy 3000

# Get help
csv2sendy --help

The CLI provides a convenient way to start the web interface. By default, it starts the server on port 8080, but you can specify a different port as a command-line argument.

Python API

from csv2sendy.core import CSVProcessor

# Process a CSV file
processor = CSVProcessor()
df = processor.process_file('input.csv')
df.to_csv('output.csv', index=False)

# Process CSV content directly
content = '''name,email,phone
John Doe,[e-mail],(11) 98765-4321'''
df = processor.process_file(content)

💻 Development

Setup

1. Clone the repository:

git clone https://github.com/skaisser/csv2sendy.git
cd csv2sendy

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install development dependencies:

pip install -e ".[dev,test,doc]"

Testing

Run tests with coverage:

pytest --cov=csv2sendy tests/

Run type checking:

mypy csv2sendy

Documentation

Build documentation:

cd docs
make html

🔧 Dependencies

• Python 3.9
• pandas >= 1.3.0
• email-validator >= 1.1.0
• flask >= 2.0.0
• werkzeug >= 2.0.0

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Install development dependencies (pip install -e ".[dev,test,doc]")
4. Make your changes
5. Run tests and type checking (pytest and mypy csv2sendy)
6. Commit your changes (git commit -m 'Add amazing feature')
7. Push to the branch (git push origin feature/amazing-feature)
8. Open a Pull Request

📄 License

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

👤 Author

Shirleyson Kaisser

• GitHub: @skaisser
• Email: [e-mail]