Skip to main content

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 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.

License

MIT License - see the LICENSE file for details.

Credits

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aigeodb-0.2.0.tar.gz (13.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aigeodb-0.2.0-py2.py3-none-any.whl (13.7 MB view details)

Uploaded Python 2Python 3

File details

Details for the file aigeodb-0.2.0.tar.gz.

File metadata

  • Download URL: aigeodb-0.2.0.tar.gz
  • Upload date:
  • Size: 13.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for aigeodb-0.2.0.tar.gz
Algorithm Hash digest
SHA256 f74b7de229170336319e51cbdcd35852836e8d24ac22e9116dcc25310efcbdad
MD5 e58c4dec5d8fb85942ba320366a8dce3
BLAKE2b-256 b1bae39c2dab98a45a1d6ca3cf9d9f45365805c7c3cc13dd200bc3a0b464b6b1

See more details on using hashes here.

File details

Details for the file aigeodb-0.2.0-py2.py3-none-any.whl.

File metadata

  • Download URL: aigeodb-0.2.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 13.7 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for aigeodb-0.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 876c22f77d60c397987354088efe894ff8cbd47d125bc7e44e278b9e689cda7a
MD5 243a8bb018d7af7e302f25e001b8a831
BLAKE2b-256 9b7b5b0fbf93495c88e095ea00fd0bf1c4b1bd767314d27e1ce93283aa477615

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page