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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.

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
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}")

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}")

# 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 includes custom widgets with dark mode support and AJAX search functionality.

Setup

  1. Add to INSTALLED_APPS:
INSTALLED_APPS = [
    ...
    'aigeodb.django',
]
  1. Add URLs to your project's urls.py:
from django.urls import path, include

urlpatterns = [
    ...
    path('aigeodb/', include('aigeodb.django.urls')),
]
  1. Make sure you have static files configured:
STATIC_URL = '/static/'
STATIC_ROOT = BASE_DIR / 'staticfiles'
STATICFILES_DIRS = [
    BASE_DIR / 'static',
]
  1. Run collectstatic:
python manage.py collectstatic

Using Fields

from django.db import models
from aigeodb.django 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}"

Admin Integration

The fields work automatically in Django admin with Select2 widgets:

from django.contrib import admin
from aigeodb.django import AutocompleteFieldsMixin

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

Features

  • Built-in Select2 integration with AJAX search
  • Automatic dark/light theme support
  • Efficient data loading with caching
  • Built-in data validation
  • Responsive design
  • Support for Django admin inlines
  • Thread-safe database access

Widget Customization

The fields use custom Select2 widgets that can be customized:

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

class Location(models.Model):
    city = CityField(
        widget_attrs={
            'data-placeholder': 'Search for a city...',
            'data-minimum-input-length': '3',
            'class': 'custom-select'
        }
    )
    country = CountryField(
        widget_attrs={
            'data-placeholder': 'Select a country',
            'style': 'width: 100%'
        }
    )

API Endpoints

The package provides two AJAX endpoints:

  • /aigeodb/search-cities/

    • Parameters:
      • term: Search query (min 2 characters)
      • page: Page number for pagination
    • Returns:
      {
          "results": [
              {
                  "id": "123",
                  "text": "New York, United States"
              }
          ],
          "pagination": {
              "more": false
          }
      }
      
  • /aigeodb/search-countries/

    • Parameters:
      • term: Search query (min 2 characters)
      • page: Page number for pagination
    • Returns:
      {
          "results": [
              {
                  "id": "US",
                  "text": "United States"
              }
          ],
          "pagination": {
              "more": false
          }
      }
      

Static Files

The package includes:

  • aigeodb/js/autocomplete-init.js - Select2 initialization
  • aigeodb/css/autocomplete-theme.css - Theme styles with dark mode

These files are automatically included when using AutocompleteFieldsMixin.


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

License

MIT License - see the LICENSE file for details.

Credits

Project details


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