Geocoding Services

def geocode(client, address=None, place_id=None, components=None, 
           bounds=None, region=None, language=None):
    """
    Convert address to coordinates using Google's geocoding API.
    
    Args:
        client (Client): Google Maps API client instance
        address (str): Street address to geocode (e.g., "1600 Amphitheatre Parkway")
        place_id (str): Place ID to geocode instead of address
        components (dict): Component filters to restrict results by country,
                         postal code, etc. Format: {"country": "US", "postal_code": "94043"}
        bounds (dict): Bounding box to bias results. Format with southwest/northeast
                      lat/lng coordinates
        region (str): Region code for result biasing (ISO 3166-1 Alpha-2)
        language (str): Language code for returned results (ISO 639-1)
    
    Returns:
        list: List of geocoding result dictionaries containing geometry,
              formatted address, address components, and place information
    
    Raises:
        googlemaps.exceptions.ApiError: When API returns an error
        googlemaps.exceptions.TransportError: When HTTP request fails
        googlemaps.exceptions.Timeout: When request times out
    """

def reverse_geocode(client, latlng, result_type=None, location_type=None, 
                   language=None):
    """
    Convert coordinates to address using Google's reverse geocoding API.
    
    Args:
        client (Client): Google Maps API client instance
        latlng (tuple): Latitude/longitude coordinates as (lat, lng) tuple
                       or {"lat": latitude, "lng": longitude} dict
        result_type (list): Filter results by address type (e.g., ["street_address"])
        location_type (list): Filter by location type precision
                             (e.g., ["APPROXIMATE", "GEOMETRIC_CENTER"])
        language (str): Language code for returned results (ISO 639-1)
    
    Returns:
        list: List of reverse geocoding result dictionaries containing
              formatted addresses, address components, and geometry
    
    Raises:
        googlemaps.exceptions.ApiError: When API returns an error
        googlemaps.exceptions.TransportError: When HTTP request fails
        googlemaps.exceptions.Timeout: When request times out
    """

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Geocode a simple address
geocode_result = gmaps.geocode('1600 Amphitheatre Parkway, Mountain View, CA')

# Extract coordinates
location = geocode_result[0]['geometry']['location']
lat = location['lat']
lng = location['lng']
print(f"Coordinates: {lat}, {lng}")

# Get formatted address
formatted_address = geocode_result[0]['formatted_address']
print(f"Formatted: {formatted_address}")

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Geocode with component restrictions
geocode_result = gmaps.geocode(
    address='Main Street',
    components={
        'country': 'US',
        'administrative_area': 'CA',
        'locality': 'Mountain View'
    }
)

for result in geocode_result:
    print(f"Address: {result['formatted_address']}")
    print(f"Location: {result['geometry']['location']}")

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Define bounds for San Francisco Bay Area
bounds = {
    'southwest': {'lat': 37.4, 'lng': -122.5},
    'northeast': {'lat': 37.8, 'lng': -122.0}
}

# Geocode with bounds biasing
geocode_result = gmaps.geocode(
    address='Main Street',
    bounds=bounds,
    region='us'
)

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Geocode using a place ID
geocode_result = gmaps.geocode(
    place_id='ChIJVVVVVVVQwokRGjGGGGGGGG'
)

location = geocode_result[0]['geometry']['location']
print(f"Place coordinates: {location['lat']}, {location['lng']}")

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Convert coordinates to address
latlng = (37.4224764, -122.0842499)
reverse_result = gmaps.reverse_geocode(latlng)

# Get the most precise address
best_result = reverse_result[0]
print(f"Address: {best_result['formatted_address']}")

# Get address components
components = best_result['address_components']
for component in components:
    types = component['types']
    name = component['long_name']
    print(f"{types[0]}: {name}")

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Get only street addresses
coordinates = (37.4224764, -122.0842499)
street_addresses = gmaps.reverse_geocode(
    latlng=coordinates,
    result_type=['street_address']
)

# Get only administrative areas
admin_areas = gmaps.reverse_geocode(
    latlng=coordinates,
    result_type=['administrative_area_level_1', 'administrative_area_level_2']
)

# Filter by location type precision
precise_results = gmaps.reverse_geocode(
    latlng=coordinates,
    location_type=['ROOFTOP', 'RANGE_INTERPOLATED']
)

import googlemaps

gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Get results in different languages
coordinates = (35.6762, 139.6503)  # Tokyo coordinates

# Japanese results
japanese_result = gmaps.reverse_geocode(
    latlng=coordinates,
    language='ja'
)
print(f"Japanese: {japanese_result[0]['formatted_address']}")

# English results
english_result = gmaps.reverse_geocode(
    latlng=coordinates,
    language='en'
)
print(f"English: {english_result[0]['formatted_address']}")

# Example of parsing address components
for component in result['address_components']:
    component_type = component['types'][0]
    
    if component_type == 'street_number':
        street_number = component['long_name']
    elif component_type == 'route':
        street_name = component['long_name']
    elif component_type == 'locality':
        city = component['long_name']
    elif component_type == 'administrative_area_level_1':
        state = component['short_name']
    elif component_type == 'country':
        country = component['long_name']
    elif component_type == 'postal_code':
        zip_code = component['long_name']