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A Python package for working with world cities, countries, regions database

Project description

AigeoDB

A Python package for working with world cities, countries, regions database. This package provides easy access to a comprehensive database of world locations.

About

Developed by Unrealos Inc. - We create innovative SaaS and PaaS solutions powered by AI for business. Our expertise includes:

  • AI-powered business solutions
  • SaaS platforms
  • PaaS infrastructure
  • Custom enterprise software

Features

  • Easy-to-use interface for querying geographical data
  • Built-in database downloader and updater
  • Support for searching cities, countries, and regions
  • Geolocation features (nearby cities search)
  • SQLAlchemy models for all database entities
  • Django integration with custom model fields

Installation

Basic installation:

pip install aigeodb

Core Usage

Basic Example

from aigeodb import DatabaseManager

# Initialize the database manager
db = DatabaseManager()

# Search for cities
cities = db.search_cities("Moscow", limit=5)
for city in cities:
    print(f"{city.name}, {city.country_code}")

# Get country information
country = db.get_country_info("US")
print(country.name, country.iso2)

# Find nearby cities
nearby = db.get_nearby_cities(40.7128, -74.0060, radius_km=100)
for city in nearby:
    print(f"{city.name}, {city.state_code}")

API Reference

# DatabaseManager methods
db = DatabaseManager()

# Search cities by name
cities = db.search_cities("Moscow", limit=5)

# Get country information
country = db.get_country_info("US")

# Calculate distance between two points
new_york = (40.7128, -74.0060)  # (latitude, longitude)
london = (51.5074, -0.1278)
distance = db.calculate_distance(new_york, london)
print(f"Distance between cities: {distance:.1f}km")

# Find nearby cities (simple usage)
cities = db.get_nearby_cities(
    latitude=40.7128, 
    longitude=-74.0060,
    radius_km=100,
    limit=10
)
for city in cities:
    print(f"{city.name}, {city.state_code}")

# Find nearby cities with distances
cities_with_distances = db.get_nearby_cities(
    latitude=40.7128,
    longitude=-74.0060,
    radius_km=100,
    limit=10,
    with_distance=True
)
for city, distance in cities_with_distances:
    print(f"{city.name}: {distance:.1f}km")

# Get cities by country
cities = db.get_cities_by_country("US")

# Get states/regions by country
states = db.get_states_by_country("US")

# Get database statistics
stats = db.get_statistics()

Distance Calculation

The package uses geopy for precise distance calculations using the geodesic formula. Coordinates are passed as tuples of (latitude, longitude).

Example distances:

# Some major city coordinates
new_york = (40.7128, -74.0060)
london = (51.5074, -0.1278)
paris = (48.8566, 2.3522)
tokyo = (35.6762, 139.6503)
seoul = (37.5665, 126.9780)

# Calculate distances
print(f"New York to London: {db.calculate_distance(new_york, london):.1f}km")  # ~5,570km
print(f"Paris to Tokyo: {db.calculate_distance(paris, tokyo):.1f}km")  # ~9,713km
print(f"Tokyo to Seoul: {db.calculate_distance(tokyo, seoul):.1f}km")  # ~1,160km

Database Content

The package includes:

  • Countries (250 records)
  • Regions (6 records)
  • Subregions (22 records)
  • States/Regions/Municipalities (5,038 records)
  • Cities/Towns/Districts (151,072 records)

Django Integration

AigeoDB provides Django model fields with Select2-powered autocomplete support for cities and countries. The integration is completely self-contained and doesn't require additional packages.

Setup

Add to INSTALLED_APPS:

INSTALLED_APPS = [
    ...
    'aigeodb.django',  # Our fields and widgets
]

Add URLs to your project's urls.py:

from django.urls import path, include

urlpatterns = [
    ...
    path('aigeodb/', include('aigeodb.django.urls')),  # Required for search functionality
]

Using Fields

from django.db import models
from aigeodb.django.fields import CityField, CountryField

class Location(models.Model):
    city = CityField()
    country = CountryField()
    
    # Fields can be optional
    departure_city = CityField(null=True, blank=True)
    
    def __str__(self):
        return f"{self.city.name}, {self.country.name}"

Features

  • Built-in Select2 integration with AJAX search
  • Automatic dark mode support
  • Efficient data loading and caching
  • Built-in data validation
  • Admin interface integration
  • Thread-safe database access

Admin Integration

The fields work out of the box in Django admin - no additional configuration needed:

from django.contrib import admin

@admin.register(Location)
class LocationAdmin(admin.ModelAdmin):
    list_display = ('city', 'country')
    search_fields = ('city', 'country')

Field Options

Both CityField and CountryField support standard Django model field options:

from django.db import models
from aigeodb.django.fields import CityField, CountryField

class Location(models.Model):
    # Standard field options
    city = CityField(
        null=True,
        blank=True
    )
    
    # Default settings
    country = CountryField()

    def __str__(self):
        return f"{self.city.name}, {self.country.name}"

The fields automatically provide:

  • Select2 integration with AJAX search
  • Minimum 2 characters before search starts
  • 300ms search delay for better performance
  • Automatic dark mode support
  • Built-in data validation

API Endpoints

The package provides two AJAX endpoints for search functionality:

  • /aigeodb/search-cities/ - Search cities by name

    • Parameters:
      • term: Search query string (min 2 characters)
    • Returns: Array of city objects with id, name, and country_name
  • /aigeodb/search-countries/ - Search countries by name

    • Parameters:
      • term: Search query string (min 2 characters)
    • Returns: Array of country objects with id, name, and iso2

Example response for cities:

[
    {
        "id": 123,
        "name": "New York",
        "country_name": "United States"
    }
]

Example response for countries:

[
    {
        "id": 840,
        "name": "United States",
        "iso2": "US"
    }
]

License

MIT License - see the LICENSE file for details.

Credits

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