GeoBank provides ready-to-use Django models for geographic data including countries, regions/states, and cities with built-in translation support using django-modeltranslation. It fetches data from trusted sources like GeoNames and REST Countries.

✨ Features

• 🗺️ Comprehensive Geographic Data

  • 250+ countries with detailed information
  • 4,000+ regions/states/provinces
  • 20,000+ cities (configurable population threshold)

• 🌐 Rich Country Information

  • ISO Alpha-2 and Alpha-3 codes
  • Continent classification
  • Population data
  • Currency with symbol
  • Multiple calling codes
  • Official languages
  • Neighboring countries
  • Flag images (PNG & SVG)
  • Postal code format and regex
  • Top-level domain (TLD)

• 🏙️ Detailed City Data

  • Geographic coordinates (latitude/longitude)
  • Timezone information
  • Population statistics
  • Region/state association

• 🔤 Full Translation Support

  • Powered by django-modeltranslation
  • Translate country, region, and city names
  • Support for any language

• ⚡ Performance Optimized

  • Bulk database operations
  • Efficient data parsing
  • Background task support via Celery

• 🧪 Well Tested

  • Comprehensive unit tests
  • Full integration tests
  • CI/CD with GitHub Actions

📦 Installation

pip install GeoBank

🚀 Quick Start

1. Configure Django Settings

Add geobank and modeltranslation to your INSTALLED_APPS:

⚠️ Important: modeltranslation must be added before django.contrib.admin

INSTALLED_APPS = [
    'modeltranslation',  # Must be before admin
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    # ...
    'geobank',
]

2. Configure Languages

Set up the languages you want to support:

LANGUAGES = (
    ('en', 'English'),
    ('es', 'Spanish'),
    ('fr', 'French'),
    ('de', 'German'),
    ('ar', 'Arabic'),
    ('zh', 'Chinese'),
    # Add more languages as needed
)

MODELTRANSLATION_DEFAULT_LANGUAGE = 'en'

3. Run Migrations

python manage.py makemigrations
python manage.py migrate

4. Populate the Database

python manage.py populate_geobank

That's it! 🎉 Your database is now populated with geographic data.

📖 Usage

Basic Queries

from geobank.models import Country, Region, City

# Get all countries
countries = Country.objects.all()

# Get a specific country
usa = Country.objects.get(code2='US')
print(usa.name)  # "United States"
print(usa.code3)  # "USA"
print(usa.population)  # 331002651
print(usa.currency.code)  # "USD"
print(usa.currency.symbol)  # "$"

# Get country's calling codes
for calling_code in usa.calling_codes.all():
    print(calling_code.code)  # "1"

# Get country's languages
for language in usa.languages.all():
    print(language.name)  # "English"

# Get neighboring countries
for neighbor in usa.neighbors.all():
    print(neighbor.name)  # "Canada", "Mexico"

# Get regions/states
california = Region.objects.get(country=usa, code='CA')
print(california.name)  # "California"

# Get cities
la = City.objects.get(name='Los Angeles', country=usa)
print(la.population)  # 3979576
print(la.timezone)  # "America/Los_Angeles"
print(la.latitude, la.longitude)  # Coordinates

Working with Translations

from django.utils.translation import activate

# Get country name in different languages
usa = Country.objects.get(code2='US')

activate('en')
print(usa.name)  # "United States"

activate('es')
print(usa.name)  # "Estados Unidos"

activate('ar')
print(usa.name)  # "الولايات المتحدة"

Filtering

# Countries by continent
european_countries = Country.objects.filter(continent='EU')

# Cities by population
large_cities = City.objects.filter(population__gte=1000000)

# Cities in a region
california_cities = City.objects.filter(region__code='CA', country__code2='US')

# Active records only
active_countries = Country.objects.filter(is_active=True)

Using Flags

usa = Country.objects.get(code2='US')

# Flag URLs from REST Countries
print(usa.flag_png)  # PNG URL
print(usa.flag_svg)  # SVG URL

⚙️ Configuration Options

Population Command Options

# Basic population (cities with 15,000+ population)
python manage.py populate_geobank

# Include smaller cities (500, 1000, 5000, or 15000)
python manage.py populate_geobank --population-gte 5000

# Run in background with Celery
python manage.py populate_geobank --background

City Population Thresholds

📊 Models Reference

Country

Region

City

Currency

Language

CallingCode

🔧 Requirements

🧪 Development

Setting Up Development Environment

# Clone the repository
git clone https://github.com/ali-hv/geobank.git
cd geobank

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install with dev dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pip install pre-commit
pre-commit install

Running Tests

# Run unit tests only (fast)
pytest src/geobank/tests/ -m "not integration" -v

# Run integration tests (requires network, slower)
pytest src/geobank/tests/ -m "integration" -v

# Run all tests
pytest src/geobank/tests/ -v

# Run with coverage
pytest src/geobank/tests/ --cov=geobank --cov-report=html

Code Quality

# Run linter
ruff check src/

# Run formatter
ruff format src/

# Run pre-commit on all files
pre-commit run --all-files

📄 License

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

🙏 Acknowledgments

• Geographic data from GeoNames
• Country information from REST Countries
• Translation support by django-modeltranslation

🤝 Contributing

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

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request