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)
• SQLite database with Peewee ORM
• Django integration with custom model fields
• Robust date handling and data validation
• Snake case field names with backward compatibility

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}")
    print(f"Location: ({city.latitude}, {city.longitude})")
    print(f"State: {city.state_code}")

# Get country information
country = db.get_country_info("US")
print(f"{country['name']} ({country['iso2']})")
print(f"Capital: {country['capital']}")
print(f"Currency: {country['currency']} ({country['currency_symbol']})")

# 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} ({city.latitude}, {city.longitude})")

Data Models

All models use snake_case field names with aliases for backward compatibility:

# City model fields
city = cities[0]
print(f"ID: {city.id}")
print(f"Name: {city.name}")
print(f"State ID: {city.state_id}")  # aliased as 'state' in database
print(f"State Code: {city.state_code}")
print(f"Country ID: {city.country_id}")  # aliased as 'country' in database
print(f"Country Code: {city.country_code}")
print(f"Location: ({city.latitude}, {city.longitude})")
print(f"Created: {city.created_at}")
print(f"Updated: {city.updated_at}")
print(f"Active: {city.flag}")
print(f"Wiki Data: {city.wiki_data_id}")  # aliased as 'wikiDataId' in database

# Country model fields
country = db.get_country_by_code("US")
print(f"Basic Info: {country.name} ({country.iso2}, {country.iso3})")
print(f"Codes: {country.numeric_code}, {country.phonecode}")
print(f"Location: {country.region}, {country.subregion}")
print(f"Currency: {country.currency} ({country.currency_symbol})")
print(f"Emoji: {country.emoji} ({country.emoji_u})")  # emoji_u aliased as 'emojiU'

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
cities = db.get_nearby_cities(
    latitude=40.7128,
    longitude=-74.0060,
    radius_km=100,
    limit=10
)

# 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()

Date Handling

The package handles dates robustly:

• Invalid dates ('0000-00-00 00:00:00') are automatically converted to None
• All date fields (created_at, updated_at) are optional
• Dates are stored in UTC format
• Dates are returned as Python datetime objects

Example:

city = db.get_city_by_id(1)
if city.created_at:
    print(f"Created: {city.created_at.strftime('%Y-%m-%d %H:%M:%S')}")
if city.updated_at:
    print(f"Last Updated: {city.updated_at.strftime('%Y-%m-%d %H:%M:%S')}")

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)

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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',
]

2. Add URLs to your project's urls.py:

from django.urls import path, include

urlpatterns = [
    ...
    path('aigeodb/', include('aigeodb.django.urls')),
]

3. Make sure you have static files configured:

STATIC_URL = '/static/'
STATIC_ROOT = BASE_DIR / 'staticfiles'
STATICFILES_DIRS = [
    BASE_DIR / 'static',
]

4. 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

• Data source: countries-states-cities-database
• Developed by Unrealos Inc.

Coordinate-Based Lookups

The package provides methods to find cities and countries by coordinates:

# Get city by coordinates
city = db.get_city_by_coordinates(
    latitude=40.7128,
    longitude=-74.0060
)
if city:
    print(f"Nearest city: {city.name}, {city.country_code}")

# Get country by coordinates
country = db.get_country_by_coordinates(
    latitude=40.7128,
    longitude=-74.0060
)
if country:
    print(f"Country at location: {country.name} ({country.iso2})")

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