815 lines
34 KiB
Python
815 lines
34 KiB
Python
"""
|
||
utils/geocoding.py
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||
==================
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All geocoding, distance calculation, and location-accuracy helpers.
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Extracted verbatim from app.py (lines 188–1317).
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No logic changes — only import paths updated.
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"""
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import os
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||
import re
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import requests
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import traceback
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||
from datetime import datetime, timedelta
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from math import radians, sin, cos, asin, sqrt
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import googlemaps
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from extensions import db, logger_handler
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from address_normalization_fix import normalize_address, addresses_are_similar
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# ---------------------------------------------------------------------------
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# Google Maps client (initialized once at module import)
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# ---------------------------------------------------------------------------
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try:
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GOOGLE_MAPS_API_KEY = os.environ.get('GOOGLE_MAPS_API_KEY')
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if GOOGLE_MAPS_API_KEY:
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gmaps_client = googlemaps.Client(key=GOOGLE_MAPS_API_KEY)
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print("✅ Google Maps client initialized successfully")
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else:
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gmaps_client = None
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print("⚠️ Google Maps API key not found, falling back to OpenStreetMap")
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except Exception as e:
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gmaps_client = None
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print(f"❌ Error initializing Google Maps client: {e}")
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# ---------------------------------------------------------------------------
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# Geocoding cache
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# ---------------------------------------------------------------------------
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geocoding_cache = {}
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CACHE_MAX_SIZE = 1000
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CACHE_EXPIRY_HOURS = 24
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def get_cached_coordinates(address):
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"""Get coordinates from cache if available and not expired"""
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if address in geocoding_cache:
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cached_data = geocoding_cache[address]
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cache_time = cached_data.get('timestamp', datetime.min)
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if datetime.now() - cache_time < timedelta(hours=CACHE_EXPIRY_HOURS):
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print(f"📋 Using cached coordinates for: {address[:50]}...")
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return cached_data.get('lat'), cached_data.get('lng'), cached_data.get('accuracy')
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return None, None, None
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def cache_coordinates(address, lat, lng, accuracy):
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"""Cache coordinates to reduce future API calls"""
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try:
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if len(geocoding_cache) >= CACHE_MAX_SIZE:
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oldest_key = min(geocoding_cache.keys(), key=lambda k: geocoding_cache[k]['timestamp'])
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del geocoding_cache[oldest_key]
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geocoding_cache[address] = {
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'lat': lat,
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'lng': lng,
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'accuracy': accuracy,
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'timestamp': datetime.now()
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}
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print(f"💾 Cached coordinates for: {address[:50]}...")
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except Exception as e:
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print(f"⚠️ Error caching coordinates: {e}")
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# ---------------------------------------------------------------------------
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# Geocoding helpers
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# ---------------------------------------------------------------------------
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def log_google_maps_usage(operation_type):
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"""Log Google Maps API usage for monitoring"""
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try:
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logger_handler.log_user_activity('google_maps_api_usage', f'Google Maps API used: {operation_type}')
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except Exception as e:
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print(f"⚠️ Usage logging error: {e}")
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def get_coordinates_from_address(address):
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"""
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Get latitude and longitude from address using Google Maps Geocoding API.
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Falls back to OpenStreetMap if Google Maps is unavailable.
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Returns (lat, lng) tuple or (None, None) if failed.
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"""
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if not address or address.strip() == '':
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return None, None
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address = address.strip()
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print(f"🌍 Geocoding address: {address}")
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try:
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logger_handler.log_user_activity('geocoding', f'Geocoding address: {address[:50]}...')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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try:
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if gmaps_client:
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print("🗺️ Using Google Maps Geocoding API")
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geocode_result = gmaps_client.geocode(address)
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if geocode_result:
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location = geocode_result[0]['geometry']['location']
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lat = location['lat']
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lng = location['lng']
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print(f"✅ Google Maps geocoded address '{address[:50]}...' to coordinates: {lat}, {lng}")
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try:
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logger_handler.log_user_activity('geocoding_success', f'Successfully geocoded: {address[:50]}... -> {lat}, {lng}')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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return lat, lng
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else:
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print(f"⚠️ Google Maps: No results found for address: {address}")
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print("🌐 Falling back to OpenStreetMap Nominatim")
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url = "https://nominatim.openstreetmap.org/search"
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params = {'q': address, 'format': 'json', 'limit': 1, 'addressdetails': 1}
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headers = {'User-Agent': 'QR-Attendance-System/1.0'}
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response = requests.get(url, params=params, headers=headers, timeout=10)
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if response.status_code == 200:
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data = response.json()
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if data and len(data) > 0:
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lat = float(data[0]['lat'])
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lng = float(data[0]['lon'])
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print(f"✅ OSM geocoded address '{address[:50]}...' to coordinates: {lat}, {lng}")
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try:
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logger_handler.log_user_activity('geocoding_fallback', f'OSM fallback geocoded: {address[:50]}... -> {lat}, {lng}')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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return lat, lng
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print(f"⚠️ Could not geocode address: {address}")
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try:
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logger_handler.log_user_activity('geocoding_failed', f'Failed to geocode: {address[:50]}...')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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return None, None
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except Exception as e:
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print(f"❌ Error geocoding address '{address}': {e}")
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try:
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logger_handler.log_flask_error('geocoding_error', f'Error geocoding {address[:50]}...: {str(e)}')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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return None, None
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def get_coordinates_from_address_enhanced(address):
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"""
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Enhanced geocoding function using Google Maps with caching and better error handling.
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Returns (latitude, longitude, accuracy_level).
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"""
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if not address or address.strip() == "":
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return None, None, None
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address = address.strip()
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print(f"🌍 Enhanced geocoding for: {address}")
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normalized_address = normalize_address(address)
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cached_lat, cached_lng, cached_accuracy = get_cached_coordinates(normalized_address)
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if cached_lat is not None:
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print("✅ Using cached coordinates for normalized address")
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return cached_lat, cached_lng, cached_accuracy
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try:
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logger_handler.log_user_activity('enhanced_geocoding', f'Enhanced geocoding: {address[:50]}...')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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try:
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if gmaps_client:
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print("🗺️ Using Google Maps Geocoding API (Enhanced)")
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geocode_result = gmaps_client.geocode(address)
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if geocode_result:
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result = geocode_result[0]
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location = result['geometry']['location']
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lat = location['lat']
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lng = location['lng']
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location_type = result['geometry'].get('location_type', 'UNKNOWN')
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place_types = result.get('types', [])
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if location_type == 'ROOFTOP':
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accuracy = 'excellent'
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elif location_type == 'RANGE_INTERPOLATED':
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accuracy = 'good'
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elif location_type == 'GEOMETRIC_CENTER':
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if any(ptype in place_types for ptype in ['premise', 'subpremise', 'street_address']):
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accuracy = 'good'
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elif any(ptype in place_types for ptype in ['neighborhood', 'sublocality']):
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accuracy = 'fair'
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else:
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accuracy = 'poor'
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elif location_type == 'APPROXIMATE':
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accuracy = 'poor'
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else:
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accuracy = 'fair'
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print(f"✅ Google Maps enhanced geocoding successful:")
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print(f" Coordinates: {lat:.10f}, {lng:.10f}")
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print(f" Accuracy: {accuracy} (location_type: {location_type})")
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print(f" Place types: {place_types[:3]}")
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cache_coordinates(normalized_address, lat, lng, accuracy)
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try:
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logger_handler.log_user_activity('enhanced_geocoding_success', f'Google Maps enhanced: {address[:50]}... -> {lat}, {lng} ({accuracy})')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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return lat, lng, accuracy
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else:
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print(f"⚠️ Google Maps: No results found for enhanced geocoding: {address}")
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print("🌐 Falling back to OpenStreetMap Nominatim (Enhanced)")
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nominatim_url = "https://nominatim.openstreetmap.org/search"
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params = {'q': address, 'format': 'json', 'limit': 1, 'addressdetails': 1, 'extratags': 1}
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headers = {'User-Agent': 'QR-Attendance-System/1.0 (Enhanced Location Accuracy)'}
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response = requests.get(nominatim_url, params=params, headers=headers, timeout=10)
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if response.status_code == 200:
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results = response.json()
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if results:
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result = results[0]
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lat = float(result['lat'])
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lng = float(result['lon'])
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place_type = result.get('type', 'unknown')
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osm_type = result.get('osm_type', 'unknown')
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if place_type in ['house', 'building', 'shop', 'office'] or osm_type == 'way':
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accuracy = 'good'
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elif place_type in ['neighbourhood', 'suburb', 'quarter', 'residential']:
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accuracy = 'fair'
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elif place_type in ['city', 'town', 'village']:
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accuracy = 'poor'
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else:
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accuracy = 'poor'
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print(f"✅ OSM enhanced geocoding successful:")
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print(f" Coordinates: {lat:.10f}, {lng:.10f}")
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print(f" Accuracy: {accuracy} (fallback)")
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cache_coordinates(normalized_address, lat, lng, accuracy)
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try:
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logger_handler.log_user_activity('enhanced_geocoding_fallback', f'OSM enhanced fallback: {address[:50]}... -> {lat}, {lng} ({accuracy})')
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except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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return lat, lng, accuracy
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||
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print(f"⚠️ No results from enhanced geocoding for: {address}")
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try:
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logger_handler.log_user_activity('enhanced_geocoding_failed', f'Enhanced geocoding failed: {address[:50]}...')
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||
except Exception as log_error:
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print(f"⚠️ Logging error (non-critical): {log_error}")
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||
return None, None, None
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||
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||
except Exception as e:
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||
print(f"❌ Enhanced geocoding error: {e}")
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||
try:
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logger_handler.log_flask_error('enhanced_geocoding_error', f'Enhanced geocoding error {address[:50]}...: {str(e)}')
|
||
except Exception as log_error:
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||
print(f"⚠️ Logging error (non-critical): {log_error}")
|
||
return None, None, None
|
||
|
||
|
||
def geocode_address_enhanced(address):
|
||
"""
|
||
Enhanced geocoding using Nominatim API with better accuracy classification.
|
||
Returns: (latitude, longitude, accuracy_level)
|
||
"""
|
||
if not address or len(address.strip()) < 5:
|
||
print("❌ Address too short for geocoding")
|
||
return None, None, None
|
||
|
||
try:
|
||
url = "https://nominatim.openstreetmap.org/search"
|
||
params = {'q': address.strip(), 'format': 'json', 'limit': 1, 'addressdetails': 1}
|
||
headers = {'User-Agent': 'QR-Attendance-System/1.0'}
|
||
response = requests.get(url, params=params, headers=headers, timeout=10)
|
||
|
||
if response.status_code == 200:
|
||
data = response.json()
|
||
if data and len(data) > 0:
|
||
result = data[0]
|
||
lat = float(result['lat'])
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||
lng = float(result['lon'])
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||
place_type = result.get('type', 'unknown')
|
||
osm_type = result.get('osm_type', 'unknown')
|
||
|
||
if place_type in ['house', 'building'] or osm_type == 'way':
|
||
accuracy = 'high'
|
||
elif place_type in ['neighbourhood', 'suburb', 'quarter']:
|
||
accuracy = 'medium'
|
||
else:
|
||
accuracy = 'low'
|
||
|
||
print(f"✅ Geocoded address: {address}")
|
||
print(f" Coordinates: {lat:.10f}, {lng:.10f}")
|
||
print(f" Accuracy: {accuracy} ({place_type})")
|
||
return lat, lng, accuracy
|
||
|
||
print(f"⚠️ No geocoding results for address: {address}")
|
||
return None, None, None
|
||
|
||
except Exception as e:
|
||
logger_handler.log_flask_error('geocoding_error', str(e))
|
||
print(f"❌ Geocoding error: {e}")
|
||
return None, None, None
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Distance / accuracy
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def calculate_distance_miles(lat1, lng1, lat2, lng2):
|
||
"""
|
||
Calculate DIRECT straight-line distance between two points using Haversine formula.
|
||
Returns distance in miles (float) or None if calculation fails.
|
||
"""
|
||
if any(coord is None for coord in [lat1, lng1, lat2, lng2]):
|
||
print("⚠️ Missing coordinates for distance calculation")
|
||
return None
|
||
|
||
try:
|
||
try:
|
||
lat1_val = float(lat1)
|
||
lng1_val = float(lng1)
|
||
lat2_val = float(lat2)
|
||
lng2_val = float(lng2)
|
||
except (ValueError, TypeError) as e:
|
||
print(f"⚠️ Invalid coordinate format: {e}")
|
||
return None
|
||
|
||
if not (-90 <= lat1_val <= 90) or not (-90 <= lat2_val <= 90):
|
||
print(f"⚠️ Invalid latitude values: {lat1_val}, {lat2_val}")
|
||
return None
|
||
if not (-180 <= lng1_val <= 180) or not (-180 <= lng2_val <= 180):
|
||
print(f"⚠️ Invalid longitude values: {lng1_val}, {lng2_val}")
|
||
return None
|
||
|
||
try:
|
||
logger_handler.log_user_activity(
|
||
'distance_calculation',
|
||
f'Calculating direct distance: ({lat1_val:.6f}, {lng1_val:.6f}) to ({lat2_val:.6f}, {lng2_val:.6f})'
|
||
)
|
||
except Exception:
|
||
pass
|
||
|
||
print("📐 Calculating direct straight-line distance using Haversine formula")
|
||
|
||
lat1_rad = radians(lat1_val)
|
||
lng1_rad = radians(lng1_val)
|
||
lat2_rad = radians(lat2_val)
|
||
lng2_rad = radians(lng2_val)
|
||
|
||
dlat = lat2_rad - lat1_rad
|
||
dlng = lng2_rad - lng1_rad
|
||
|
||
sin_dlat_half = sin(dlat / 2.0)
|
||
sin_dlng_half = sin(dlng / 2.0)
|
||
|
||
a = (sin_dlat_half * sin_dlat_half +
|
||
cos(lat1_rad) * cos(lat2_rad) * sin_dlng_half * sin_dlng_half)
|
||
a = max(0.0, min(1.0, a))
|
||
c = 2.0 * asin(sqrt(a))
|
||
|
||
# DO NOT CHANGE Earth's mean radius value
|
||
EARTH_RADIUS_MILES = 3959.87433
|
||
distance = round(c * EARTH_RADIUS_MILES, 4)
|
||
|
||
print(f"📏 Direct straight-line distance calculation:")
|
||
print(f" Point 1: ({lat1_val:.10f}, {lng1_val:.10f})")
|
||
print(f" Point 2: ({lat2_val:.10f}, {lng2_val:.10f})")
|
||
print(f" Δlat: {abs(lat2_val - lat1_val):.10f}° = {dlat:.12f} radians")
|
||
print(f" Δlng: {abs(lng2_val - lng1_val):.10f}° = {dlng:.12f} radians")
|
||
print(f" a value: {a:.15f}")
|
||
print(f" c value (central angle): {c:.15f} radians")
|
||
print(f" 🎯 Distance: {distance:.4f} miles = {distance * 5280:.2f} feet = {distance * 1609.34:.2f} meters")
|
||
|
||
try:
|
||
logger_handler.log_user_activity('distance_calculation_success', f'Direct distance: {distance:.4f} miles')
|
||
except Exception:
|
||
pass
|
||
|
||
return distance
|
||
|
||
except Exception as e:
|
||
print(f"❌ Error in distance calculation: {e}")
|
||
print(f" Traceback: {traceback.format_exc()}")
|
||
try:
|
||
logger_handler.log_flask_error('distance_calculation_error', f'Distance calculation error: {str(e)}')
|
||
except Exception:
|
||
pass
|
||
return None
|
||
|
||
|
||
def get_location_accuracy_level_enhanced(location_accuracy):
|
||
"""
|
||
Enhanced function to categorize location accuracy with more granular levels.
|
||
"""
|
||
if not location_accuracy or location_accuracy is None:
|
||
return 'unknown'
|
||
if location_accuracy <= 0.05:
|
||
return 'excellent'
|
||
elif location_accuracy <= 0.1:
|
||
return 'very_good'
|
||
elif location_accuracy <= 0.25:
|
||
return 'good'
|
||
elif location_accuracy <= 0.5:
|
||
return 'fair'
|
||
elif location_accuracy <= 1.0:
|
||
return 'poor'
|
||
else:
|
||
return 'very_poor'
|
||
|
||
|
||
def calculate_location_accuracy(qr_address, checkin_address, checkin_lat=None, checkin_lng=None):
|
||
"""
|
||
Calculate location accuracy by comparing QR code address with check-in location.
|
||
Returns distance in miles between the two locations.
|
||
"""
|
||
print(f"\n📍 CALCULATING LOCATION ACCURACY:")
|
||
print(f" QR Address: {qr_address}")
|
||
print(f" Check-in Address: {checkin_address}")
|
||
print(f" Check-in Coordinates: {checkin_lat}, {checkin_lng}")
|
||
|
||
qr_lat, qr_lng = get_coordinates_from_address(qr_address)
|
||
if qr_lat is None or qr_lng is None:
|
||
print("⚠️ Could not geocode QR address, cannot calculate accuracy")
|
||
return None
|
||
|
||
if checkin_lat is not None and checkin_lng is not None:
|
||
checkin_coords_lat, checkin_coords_lng = checkin_lat, checkin_lng
|
||
print("✅ Using GPS coordinates for check-in location")
|
||
else:
|
||
checkin_coords_lat, checkin_coords_lng = get_coordinates_from_address(checkin_address)
|
||
if checkin_coords_lat is None or checkin_coords_lng is None:
|
||
print("⚠️ Could not geocode check-in address, cannot calculate accuracy")
|
||
return None
|
||
print("✅ Using geocoded coordinates for check-in address")
|
||
|
||
distance = calculate_distance_miles(qr_lat, qr_lng, checkin_coords_lat, checkin_coords_lng)
|
||
if distance is not None:
|
||
print(f"✅ Location accuracy calculated: {distance} miles")
|
||
return distance
|
||
|
||
|
||
def calculate_location_accuracy_enhanced(qr_address, checkin_address, checkin_lat=None, checkin_lng=None):
|
||
"""
|
||
ENHANCED location accuracy calculation comparing QR address with check-in location.
|
||
Returns distance in miles between QR location and check-in location.
|
||
"""
|
||
print(f"\n🎯 ENHANCED LOCATION ACCURACY CALCULATION:")
|
||
print(f" QR Address: {qr_address}")
|
||
print(f" Check-in Address: {checkin_address}")
|
||
print(f" Check-in GPS: {checkin_lat}, {checkin_lng}")
|
||
print(f" Timestamp: {datetime.now()}")
|
||
|
||
if not qr_address or qr_address.strip() == "":
|
||
print("❌ QR address is empty or invalid")
|
||
return None
|
||
|
||
print("\n📍 Step 1: Geocoding QR address...")
|
||
try:
|
||
if addresses_are_similar(qr_address, checkin_address, threshold=0.90):
|
||
print("🎯 Addresses are essentially identical - returning near-zero distance")
|
||
return 0.01
|
||
|
||
qr_lat, qr_lng, qr_accuracy = get_coordinates_from_address_enhanced(qr_address)
|
||
print(f" Geocoding result: lat={qr_lat}, lng={qr_lng}, accuracy={qr_accuracy}")
|
||
if qr_lat is None or qr_lng is None:
|
||
print(f"❌ Could not geocode QR address: {qr_address}")
|
||
return None
|
||
print(f"✅ QR location coordinates: {qr_lat:.10f}, {qr_lng:.10f} (accuracy: {qr_accuracy})")
|
||
except Exception as e:
|
||
print(f"❌ Error geocoding QR address: {e}")
|
||
return None
|
||
|
||
print("\n📱 Step 2: Determining check-in coordinates...")
|
||
checkin_coords_lat = None
|
||
checkin_coords_lng = None
|
||
checkin_source = "unknown"
|
||
|
||
if checkin_lat is not None and checkin_lng is not None:
|
||
try:
|
||
lat_val = float(checkin_lat)
|
||
lng_val = float(checkin_lng)
|
||
if -90 <= lat_val <= 90 and -180 <= lng_val <= 180:
|
||
checkin_coords_lat = lat_val
|
||
checkin_coords_lng = lng_val
|
||
checkin_source = "gps"
|
||
print(f"✅ Using GPS coordinates: {lat_val:.10f}, {lng_val:.10f}")
|
||
else:
|
||
print(f"⚠️ Invalid GPS coordinates: {lat_val}, {lng_val}")
|
||
except (ValueError, TypeError) as e:
|
||
print(f"⚠️ Could not parse GPS coordinates: {e}")
|
||
|
||
if checkin_coords_lat is None and checkin_address:
|
||
print("🌍 Falling back to geocoding check-in address...")
|
||
try:
|
||
checkin_coords_lat, checkin_coords_lng, checkin_accuracy = get_coordinates_from_address_enhanced(checkin_address)
|
||
print(f" Checkin geocoding result: lat={checkin_coords_lat}, lng={checkin_coords_lng}, accuracy={checkin_accuracy}")
|
||
if checkin_coords_lat is not None:
|
||
checkin_source = "address"
|
||
print(f"✅ Using geocoded coordinates: {checkin_coords_lat:.10f}, {checkin_coords_lng:.10f} (accuracy: {checkin_accuracy})")
|
||
except Exception as e:
|
||
print(f"❌ Error geocoding check-in address: {e}")
|
||
|
||
if checkin_coords_lat is None or checkin_coords_lng is None:
|
||
print(f"❌ Could not determine check-in coordinates")
|
||
print(f" GPS: {checkin_lat}, {checkin_lng}")
|
||
print(f" Address: {checkin_address}")
|
||
return None
|
||
|
||
print("\n📏 Step 3: Calculating distance...")
|
||
try:
|
||
print(f" QR coordinates: {qr_lat:.10f}, {qr_lng:.10f}")
|
||
print(f" Check-in coordinates: {checkin_coords_lat:.10f}, {checkin_coords_lng:.10f}")
|
||
print(f" Source: {checkin_source}")
|
||
|
||
distance = calculate_distance_miles(qr_lat, qr_lng, checkin_coords_lat, checkin_coords_lng)
|
||
print(f" Distance calculation result: {distance}")
|
||
|
||
if distance is not None:
|
||
accuracy_level = get_location_accuracy_level_enhanced(distance)
|
||
print(f"✅ Enhanced location accuracy calculated successfully!")
|
||
print(f" Distance: {distance:.4f} miles")
|
||
print(f" Accuracy Level: {accuracy_level}")
|
||
return distance
|
||
else:
|
||
print("❌ Distance calculation returned None")
|
||
return None
|
||
except Exception as e:
|
||
print(f"❌ Error calculating distance: {e}")
|
||
print(f"❌ Distance calculation traceback: {traceback.format_exc()}")
|
||
return None
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Reverse geocoding
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def reverse_geocode_coordinates(latitude, longitude):
|
||
"""
|
||
Convert GPS coordinates to human-readable address.
|
||
Falls back to OpenStreetMap if Google Maps is unavailable.
|
||
Returns address string or None if failed.
|
||
"""
|
||
if not latitude or not longitude:
|
||
return None
|
||
|
||
try:
|
||
print(f"🌍 Reverse geocoding coordinates: {latitude}, {longitude}")
|
||
try:
|
||
logger_handler.log_user_activity('reverse_geocoding', f'Reverse geocoding: {latitude}, {longitude}')
|
||
except Exception as log_error:
|
||
print(f"⚠️ Logging error (non-critical): {log_error}")
|
||
|
||
if gmaps_client:
|
||
print("🗺️ Using Google Maps Reverse Geocoding API")
|
||
reverse_geocode_result = gmaps_client.reverse_geocode((latitude, longitude))
|
||
if reverse_geocode_result:
|
||
address = reverse_geocode_result[0]['formatted_address']
|
||
print(f"✅ Google Maps reverse geocoded address: {address}")
|
||
try:
|
||
logger_handler.log_user_activity('reverse_geocoding_success', f'Google Maps reverse geocoded: {latitude}, {longitude} -> {address[:50]}...')
|
||
except Exception as log_error:
|
||
print(f"⚠️ Logging error (non-critical): {log_error}")
|
||
return address
|
||
else:
|
||
print("⚠️ Google Maps: No address found for coordinates")
|
||
|
||
print("🌐 Falling back to OpenStreetMap Nominatim reverse geocoding")
|
||
url = "https://nominatim.openstreetmap.org/reverse"
|
||
params = {'lat': latitude, 'lon': longitude, 'format': 'json', 'addressdetails': 1, 'zoom': 18}
|
||
headers = {'User-Agent': 'QR-Attendance-System/1.0'}
|
||
response = requests.get(url, params=params, headers=headers, timeout=10)
|
||
|
||
if response.status_code == 200:
|
||
data = response.json()
|
||
if data and 'display_name' in data:
|
||
address = data['display_name']
|
||
print(f"✅ OSM reverse geocoded address: {address}")
|
||
try:
|
||
logger_handler.log_user_activity('reverse_geocoding_fallback', f'OSM reverse geocoded: {latitude}, {longitude} -> {address[:50]}...')
|
||
except Exception as log_error:
|
||
print(f"⚠️ Logging error (non-critical): {log_error}")
|
||
return address
|
||
else:
|
||
print("⚠️ No address found for coordinates")
|
||
return None
|
||
else:
|
||
print(f"⚠️ Reverse geocoding API returned status: {response.status_code}")
|
||
return None
|
||
|
||
except Exception as e:
|
||
print(f"❌ Error in reverse geocoding: {e}")
|
||
try:
|
||
logger_handler.log_flask_error('reverse_geocoding_error', f'Reverse geocoding error {latitude}, {longitude}: {str(e)}')
|
||
except Exception as log_error:
|
||
print(f"⚠️ Logging error (non-critical): {log_error}")
|
||
return None
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Location data processing
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def process_location_data(location_data):
|
||
"""
|
||
Process and validate location data from form.
|
||
Returns clean location data or None values for invalid data.
|
||
"""
|
||
processed = {
|
||
'latitude': None,
|
||
'longitude': None,
|
||
'accuracy': None,
|
||
'altitude': None,
|
||
'source': location_data.get('location_source', 'manual'),
|
||
'address': location_data.get('address', '')[:500] if location_data.get('address') else None
|
||
}
|
||
|
||
try:
|
||
if location_data.get('latitude') and location_data['latitude'] not in ['null', '']:
|
||
lat = float(location_data['latitude'])
|
||
if -90 <= lat <= 90:
|
||
processed['latitude'] = lat
|
||
else:
|
||
print(f"⚠️ Invalid latitude: {lat}")
|
||
|
||
if location_data.get('longitude') and location_data['longitude'] not in ['null', '']:
|
||
lng = float(location_data['longitude'])
|
||
if -180 <= lng <= 180:
|
||
processed['longitude'] = lng
|
||
else:
|
||
print(f"⚠️ Invalid longitude: {lng}")
|
||
|
||
if location_data.get('accuracy') and location_data['accuracy'] not in ['null', '']:
|
||
acc = float(location_data['accuracy'])
|
||
if acc >= 0:
|
||
processed['accuracy'] = acc
|
||
else:
|
||
print(f"⚠️ Invalid accuracy: {acc}")
|
||
|
||
if location_data.get('altitude') and location_data['altitude'] not in ['null', '']:
|
||
alt = float(location_data['altitude'])
|
||
processed['altitude'] = alt
|
||
|
||
except (ValueError, TypeError) as e:
|
||
print(f"⚠️ Error processing location data: {e}")
|
||
|
||
return processed
|
||
|
||
|
||
def process_location_data_enhanced(form_data):
|
||
"""
|
||
Enhanced processing of location data from form submission.
|
||
Validates and cleans location data for storage, including reverse geocoding.
|
||
"""
|
||
processed = {
|
||
'latitude': None,
|
||
'longitude': None,
|
||
'accuracy': None,
|
||
'altitude': None,
|
||
'source': form_data.get('location_source', 'manual'),
|
||
'address': None
|
||
}
|
||
|
||
try:
|
||
if form_data.get('latitude') and form_data['latitude'] not in ['null', '', 'undefined']:
|
||
lat = float(form_data['latitude'])
|
||
if -90 <= lat <= 90:
|
||
processed['latitude'] = lat
|
||
else:
|
||
print(f"⚠️ Invalid latitude: {lat}")
|
||
|
||
if form_data.get('longitude') and form_data['longitude'] not in ['null', '', 'undefined']:
|
||
lng = float(form_data['longitude'])
|
||
if -180 <= lng <= 180:
|
||
processed['longitude'] = lng
|
||
else:
|
||
print(f"⚠️ Invalid longitude: {lng}")
|
||
|
||
if form_data.get('accuracy') and form_data['accuracy'] not in ['null', '', 'undefined']:
|
||
acc = float(form_data['accuracy'])
|
||
if acc >= 0:
|
||
processed['accuracy'] = acc
|
||
else:
|
||
print(f"⚠️ Invalid GPS accuracy: {acc}")
|
||
|
||
if form_data.get('altitude') and form_data['altitude'] not in ['null', '', 'undefined']:
|
||
alt = float(form_data['altitude'])
|
||
processed['altitude'] = alt
|
||
|
||
if form_data.get('address'):
|
||
address = form_data['address'].strip()
|
||
if address and address not in ['null', '', 'undefined']:
|
||
if re.match(r'^-?\d+\.\d+,?\s*-?\d+\.\d+$', address.replace(' ', '')):
|
||
print(f"🔍 Detected coordinate-format address: {address}")
|
||
processed['address'] = None
|
||
else:
|
||
processed['address'] = address[:500]
|
||
print(f"✅ Using provided address: {processed['address'][:100]}...")
|
||
|
||
if (processed['latitude'] is not None and processed['longitude'] is not None
|
||
and not processed['address']):
|
||
print(f"🌍 Performing reverse geocoding for coordinates: {processed['latitude']}, {processed['longitude']}")
|
||
reverse_geocoded_address = reverse_geocode_coordinates(processed['latitude'], processed['longitude'])
|
||
if reverse_geocoded_address:
|
||
processed['address'] = reverse_geocoded_address[:500]
|
||
print(f"✅ Reverse geocoded address: {processed['address']}")
|
||
else:
|
||
print("⚠️ Could not reverse geocode coordinates, keeping coordinates as fallback")
|
||
processed['address'] = f"{processed['latitude']:.10f}, {processed['longitude']:.10f}"
|
||
|
||
print("📍 Final processed location data:")
|
||
print(f" Coordinates: {processed['latitude']}, {processed['longitude']}")
|
||
print(f" GPS Accuracy: {processed['accuracy']}m")
|
||
print(f" Source: {processed['source']}")
|
||
print(f" Address: {processed['address'][:100] if processed['address'] else 'None'}...")
|
||
|
||
return processed
|
||
|
||
except Exception as e:
|
||
print(f"❌ Error processing location data: {e}")
|
||
return processed
|
||
|
||
|
||
def migrate_to_enhanced_location_accuracy():
|
||
"""Migration function to recalculate all existing records with enhanced accuracy."""
|
||
from sqlalchemy import text as sa_text
|
||
try:
|
||
print("🔄 Starting enhanced location accuracy migration...")
|
||
records = db.session.execute(sa_text("""
|
||
SELECT ad.id, qc.location_address, ad.address, ad.latitude, ad.longitude, ad.location_accuracy
|
||
FROM attendance_data ad
|
||
LEFT JOIN qr_codes qc ON ad.qr_code_id = qc.id
|
||
WHERE qc.location_address IS NOT NULL
|
||
""")).fetchall()
|
||
|
||
print(f"📊 Found {len(records)} records to process")
|
||
updated_count = 0
|
||
improved_count = 0
|
||
|
||
for record in records:
|
||
try:
|
||
new_accuracy = calculate_location_accuracy_enhanced(
|
||
qr_address=record.location_address,
|
||
checkin_address=record.address,
|
||
checkin_lat=record.latitude,
|
||
checkin_lng=record.longitude
|
||
)
|
||
if new_accuracy is not None:
|
||
db.session.execute(sa_text("""
|
||
UPDATE attendance_data SET location_accuracy = :accuracy WHERE id = :record_id
|
||
"""), {'accuracy': new_accuracy, 'record_id': record.id})
|
||
updated_count += 1
|
||
if record.location_accuracy is None or abs(new_accuracy - (record.location_accuracy or 0)) > 0.001:
|
||
improved_count += 1
|
||
print(f" ✅ Updated record {record.id}: {record.location_accuracy} → {new_accuracy:.4f} miles")
|
||
except Exception as e:
|
||
print(f" ⚠️ Error processing record {record.id}: {e}")
|
||
|
||
db.session.commit()
|
||
print(f"✅ Enhanced migration completed!")
|
||
print(f" 📊 Records processed: {len(records)}")
|
||
print(f" ✅ Records updated: {updated_count}")
|
||
print(f" 📈 Records improved: {improved_count}")
|
||
return True
|
||
|
||
except Exception as e:
|
||
print(f"❌ Enhanced migration failed: {e}")
|
||
db.session.rollback()
|
||
return False
|
||
|
||
|
||
def check_location_accuracy_column_exists():
|
||
"""Check if location_accuracy column exists in attendance_data table (MySQL compatible)."""
|
||
from sqlalchemy import text as sa_text
|
||
try:
|
||
result = db.session.execute(sa_text("""
|
||
SELECT COUNT(*) as count
|
||
FROM INFORMATION_SCHEMA.COLUMNS
|
||
WHERE TABLE_SCHEMA = DATABASE()
|
||
AND TABLE_NAME = 'attendance_data'
|
||
AND COLUMN_NAME = 'location_accuracy'
|
||
"""))
|
||
count = result.fetchone().count
|
||
return count > 0
|
||
except Exception as e:
|
||
print(f"Error checking location_accuracy column: {e}")
|
||
return False
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# QR code location helpers
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def get_all_locations_from_qr_codes():
|
||
"""Helper function to get all unique locations from QR codes"""
|
||
from sqlalchemy import text as sa_text
|
||
try:
|
||
result = db.session.execute(sa_text("""
|
||
SELECT DISTINCT location
|
||
FROM qr_codes
|
||
WHERE location IS NOT NULL
|
||
AND active_status = 1
|
||
ORDER BY location
|
||
"""))
|
||
return [row[0] for row in result.fetchall()]
|
||
except Exception as e:
|
||
logger_handler.logger.error(f"Error loading locations: {e}")
|
||
return []
|