feat: implement interactive Leaflet bus route map and geocoding script
This commit is contained in:
Shanmuga Krishnan S M
182
telegram-bot/coordinates_cache.json
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182
telegram-bot/coordinates_cache.json
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{
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"7 H Bus Depot": {
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"lat": 13.0347162,
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"lng": 80.2054383
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},
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"Aazar Khana Bus Stop": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Adambakkam Bus Depot": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Adyar Depot": {
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"lat": 12.9984686,
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"lng": 80.2561546
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},
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"Agaram": {
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"lat": 13.1158603,
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"lng": 80.2300407
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},
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"Ajax": {
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"lat": 13.1685,
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"lng": 80.3005
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},
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"Ajeya Stadium": {
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"lat": 13.1327901,
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"lng": 80.1021537
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},
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"Alwar Thirunagar": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ambattur": {
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"lat": 13.1196788,
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"lng": 80.1496969
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},
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"Aminijkarai": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Amjikarai Market": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Amutha School": {
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"lat": 13.0822304,
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"lng": 80.1694593
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},
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"Anagaputhur": {
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"lat": 12.974841,
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"lng": 80.1270021
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},
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"Andarkuppam": {
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"lat": 13.1938755,
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"lng": 80.2685646
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},
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"Anna Arch": {
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"lat": 13.075358,
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"lng": 80.2176034
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},
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"Anna Nagar Metro": {
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"lat": 13.0961458,
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"lng": 80.1986901
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},
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"Anna Nagar Roundtana": {
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"lat": 13.085,
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"lng": 80.2101
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},
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"Anna Nagar West Depot": {
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"lat": 13.0939332,
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"lng": 80.1980855
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},
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"Apollo": {
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"lat": 13.1189,
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"lng": 80.2874
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},
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"Aranganathan Subway": {
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"lat": 13.0282195,
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"lng": 80.2252655
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},
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"Aranvoyal": {
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"lat": 13.1024693,
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"lng": 79.9540238
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},
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"Aravind Hospital": {
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"lat": 13.0532913,
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"lng": 80.1249542
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},
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"Arcot Bus Stand": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Arignar Anna Gov College": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Arul Nagar": {
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"lat": 12.9542167,
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"lng": 80.1933583
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},
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"Arumbakkam": {
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"lat": 13.074371,
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"lng": 80.2081312
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},
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"Arumbakkam (SBI Bank)": {
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"lat": 13.074371,
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"lng": 80.2081312
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},
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"Arumbakkam Panchaliamman Koil": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Arun Excello": {
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"lat": 12.8173765,
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"lng": 80.1626599
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},
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"Arunmathi theatre": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Aryagowda Road": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ashok Pillar": {
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"lat": 13.0336,
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"lng": 80.2114
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},
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"Avadi Checkpost": {
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"lat": 13.1166,
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"lng": 80.1013
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},
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"Avadi J.P.Garden": {
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"lat": 13.1166,
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"lng": 80.1013
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},
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"Avadi Ponnu Store": {
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"lat": 13.1166,
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"lng": 80.1013
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},
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"Avadi mankoil": {
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"lat": 13.1166,
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"lng": 80.1013
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},
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"Ayanawaram Noor Hotel": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayanawaram Railway Quarters": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayanawaram Signal": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayappakkam Parking": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayappakkam Petrol Bunk": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayappakkam SBI ATM": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayyampettai": {
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"lat": 10.8962881,
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"lng": 79.1886395
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},
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"Ayyangarkulam": {
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"lat": 13.0118,
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"lng": 80.0214
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},
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"Ayyapanthangal": {
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"lat": 13.041,
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"lng": 80.1412
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}
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}
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189
telegram-bot/geocode_bus_routes.py
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189
telegram-bot/geocode_bus_routes.py
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import os
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import json
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import time
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import requests
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import re
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# File Paths
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CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
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BUS_ROUTES_PATH = os.path.abspath(os.path.join(CURRENT_DIR, "..", "backend", "src", "main", "resources", "bus_routes.json"))
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CACHE_PATH = os.path.join(CURRENT_DIR, "coordinates_cache.json")
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# Predefined coordinates for hard-to-geocode stops or fallback landmarks in Chennai
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STATIC_COORDINATES = {
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"RIT Campus": {"lat": 13.0118, "lng": 80.0214},
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"Rajalakshmi Institute of Technology": {"lat": 13.0118, "lng": 80.0214},
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"Kuthambakkam": {"lat": 13.0125, "lng": 80.0210},
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"Lift Gate": {"lat": 13.1610, "lng": 80.3015},
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"Wimco Market": {"lat": 13.1782, "lng": 80.3021},
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"Ajax": {"lat": 13.1685, "lng": 80.3005},
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"Theradi": {"lat": 13.1620, "lng": 80.2995},
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"Apollo": {"lat": 13.1189, "lng": 80.2874},
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"Mint": {"lat": 13.1075, "lng": 80.2785},
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"Parry's": {"lat": 13.0898, "lng": 80.2882},
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"Central": {"lat": 13.0827, "lng": 80.2707},
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"Egmore": {"lat": 13.0792, "lng": 80.2598},
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"Dasprakash": {"lat": 13.0811, "lng": 80.2524},
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"Ice House Police Station": {"lat": 13.0520, "lng": 80.2762},
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"Choolaimedu Subway": {"lat": 13.0645, "lng": 80.2224},
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"Kellys Signal": {"lat": 13.0820, "lng": 80.2435},
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"Anna Nagar Roundtana": {"lat": 13.0850, "lng": 80.2101},
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"VR Mall": {"lat": 13.0722, "lng": 80.1989},
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"Mogappair West depot": {"lat": 13.0805, "lng": 80.1654},
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"Nolambur": {"lat": 13.0737, "lng": 80.1614},
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"MGR University": {"lat": 13.0337, "lng": 80.2014},
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"Guindy": {"lat": 13.0067, "lng": 80.2206},
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"Butt Road": {"lat": 13.0084, "lng": 80.1987},
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"Porur": {"lat": 13.0382, "lng": 80.1565},
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"Ayyapanthangal": {"lat": 13.0410, "lng": 80.1412},
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"Poonamallee": {"lat": 13.0473, "lng": 80.0945},
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"Tambaram": {"lat": 12.9238, "lng": 80.1214},
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"Avadi": {"lat": 13.1166, "lng": 80.1013},
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"Chrompet": {"lat": 12.9610, "lng": 80.1462},
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"Koyambedu": {"lat": 13.0728, "lng": 80.2019},
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"Koyambedu Metro": {"lat": 13.0728, "lng": 80.2019},
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"CMBT": {"lat": 13.0678, "lng": 80.2054},
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"Aminjikarai": {"lat": 13.0734, "lng": 80.2195},
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"Skywalk": {"lat": 13.0741, "lng": 80.2185},
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"Maduravoyal": {"lat": 13.0673, "lng": 80.1627},
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"Vanagaram": {"lat": 13.0636, "lng": 80.1548},
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"Kasi Theatre": {"lat": 13.0305, "lng": 80.2132},
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"Ashok Pillar": {"lat": 13.0336, "lng": 80.2114},
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"Olympia": {"lat": 13.0135, "lng": 80.2155},
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"Mandaveli": {"lat": 13.0238, "lng": 80.2687},
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"Santhome": {"lat": 13.0336, "lng": 80.2785},
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"Pattinapakkam": {"lat": 13.0287, "lng": 80.2788},
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"Kovilampakkam": {"lat": 12.9510, "lng": 80.1874},
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"Keelkattalai": {"lat": 12.9687, "lng": 80.2014},
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"Madipakkam": {"lat": 12.9738, "lng": 80.2087},
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"Nanganallur": {"lat": 12.9838, "lng": 80.1987},
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"Saidapet": {"lat": 13.0238, "lng": 80.2287},
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"KK Nagar": {"lat": 13.0373, "lng": 80.2045},
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"Virugampakkam": {"lat": 13.0487, "lng": 80.1914},
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"Ramapuram": {"lat": 13.0287, "lng": 80.1788},
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"Tiruvallur": {"lat": 13.1438, "lng": 79.9087},
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}
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def load_cache():
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if os.path.exists(CACHE_PATH):
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try:
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with open(CACHE_PATH, "r", encoding="utf-8") as f:
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return json.load(f)
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except Exception:
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pass
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return {}
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def save_cache(cache):
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with open(CACHE_PATH, "w", encoding="utf-8") as f:
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json.dump(cache, f, indent=2)
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def clean_name(name):
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# Remove contents inside parentheses
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name = re.sub(r'\(.*?\)', '', name)
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# Remove descriptors like 'Route', 'Stop', 'Signal', 'Bunk', etc.
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name = re.sub(r'\b(stop|signal|bunk|junction|crossing|stage|bus stop|market|railway station|station)\b', '', name, flags=re.IGNORECASE)
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# Normalize whitespaces
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return " ".join(name.split()).strip()
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def geocode_nominatim(name):
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# 1. Check static overrides first
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cleaned = clean_name(name)
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for key, coords in STATIC_COORDINATES.items():
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if key.lower() == name.lower() or key.lower() == cleaned.lower():
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return coords
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# 2. Try clean geocoding
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search_queries = [
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f"{name}, Chennai, Tamil Nadu, India",
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f"{cleaned}, Chennai, Tamil Nadu, India",
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f"{cleaned}, Tamil Nadu, India"
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]
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headers = {
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"User-Agent": "RITFreshersHubBusGeocoderConsolidator/2.0 (mail@ritchennai.edu.in)"
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}
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for query in search_queries:
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try:
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url = "https://nominatim.openstreetmap.org/search"
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params = {"q": query, "format": "json", "limit": 1}
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print(f"Requesting: {query} ...")
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res = requests.get(url, headers=headers, params=params, timeout=10)
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if res.status_code == 200:
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data = res.json()
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if data:
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lat = float(data[0]["lat"])
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lng = float(data[0]["lon"])
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print(f"-> Found: {lat}, {lng}")
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return {"lat": lat, "lng": lng}
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# Rest to respect API limit
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time.sleep(1.2)
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except Exception as e:
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print(f"Error querying {query}: {e}")
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time.sleep(1.2)
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# 3. Fallback keywords check
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for key, coords in STATIC_COORDINATES.items():
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if key.lower() in name.lower() or key.lower() in cleaned.lower():
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print(f"-> Matching fallback keyword: '{key}' for '{name}'")
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return coords
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# Default fallback: RIT Campus coordinates
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print(f"-> No match found for '{name}'. Defaulting to RIT Campus.")
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return STATIC_COORDINATES["RIT Campus"]
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def geocode_routes():
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if not os.path.exists(BUS_ROUTES_PATH):
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print(f"Error: {BUS_ROUTES_PATH} does not exist.")
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return
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with open(BUS_ROUTES_PATH, "r", encoding="utf-8") as f:
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routes = json.load(f)
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cache = load_cache()
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modified = False
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# Collect all unique stop names
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unique_names = set()
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for r in routes:
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unique_names.add(r["from"])
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unique_names.add(r["to"])
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for stop in r.get("stops", []):
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unique_names.add(stop["name"])
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print(f"Total unique stops to geocode: {len(unique_names)}")
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# Geocode each stop
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count = 0
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for name in sorted(unique_names):
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if name not in cache:
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coords = geocode_nominatim(name)
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cache[name] = coords
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count += 1
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# Save cache incrementally
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if count % 5 == 0:
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save_cache(cache)
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save_cache(cache)
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# Enrich bus_routes.json
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for r in routes:
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from_coords = cache.get(r["from"], STATIC_COORDINATES["RIT Campus"])
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to_coords = cache.get(r["to"], STATIC_COORDINATES["RIT Campus"])
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r["from_lat"] = from_coords["lat"]
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r["from_lng"] = from_coords["lng"]
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r["to_lat"] = to_coords["lat"]
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r["to_lng"] = to_coords["lng"]
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for stop in r.get("stops", []):
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stop_coords = cache.get(stop["name"], STATIC_COORDINATES["RIT Campus"])
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stop["lat"] = stop_coords["lat"]
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stop["lng"] = stop_coords["lng"]
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# Write enriched data back
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with open(BUS_ROUTES_PATH, "w", encoding="utf-8") as f:
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json.dump(routes, f, indent=2)
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print("Geocoding process complete! bus_routes.json updated with coordinates.")
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if __name__ == "__main__":
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geocode_routes()
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Block a user