WIP P0b: India's states and union territories table (derived from admin-membership, served as an asset, sha384-pinned in the same emitter run), its loader, the tree allowlist row, and check:india-states (not yet registered)
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Doxa Maps
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8 changed files with 396 additions and 1 deletions
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data/people-groups/india-states.json
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data/people-groups/india-states.json
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{
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"meta":{
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"what": "India's 28 states and 8 union territories, each with the UPG-100 people groups located inside it (slugs). The term is \"states and union territories\", never \"provinces\".",
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"regenerate": "node plugin-designs/my-upg-100-list/data/emit-india-states.mjs (after pip-stamp.mjs re-stamps admin-membership.json)",
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"inputs": {
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"membership": {
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"path": "plugin-designs/my-upg-100-list/data/admin-membership.json",
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"sha384": "sha384-0D8paDuTT3HmH+YQkuuQP0ZIjp84ysz3lIXNaFlNbZKp+OevjnpZjj4FPyi7SJUl"
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},
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"geometry": {
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"path": "data/boundaries/gb-IND-ADM1-full.geojson",
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"sha384": "sha384-0tTsrv3FE4otJ2OGq7IXCs84Y9lHF7rz3cB+Vhxv76ARuw90JtJt7RLAG91L+/9j"
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}
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},
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"served_geometry": "boundaries/gb-IND-ADM1-full-web.geojson",
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"shape_property": "shapeName",
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"counts": {
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"states": 28,
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"union_territories": 8,
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"people_groups": 855
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}
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},
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"states":[
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{"id":"india-an","iso":"IN-AN","kind":"union_territory","name":"Andaman and Nicobar Islands","shapeName":"Andaman and Nicobar Islands","bbox":[92.204,6.754,93.943,13.673],"count":9,"slugs":["andamanese","bhatu-andamani","brahmin-andamani","coorgi-andamanese","great-andamanese","jarawas","onge","sentinelese","telengi"]},
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{"id":"india-ap","iso":"IN-AP","kind":"state","name":"Andhra Pradesh","shapeName":"Andhra Pradesh","bbox":[76.761,12.624,84.765,19.168],"count":81,"slugs":["accukattavandlu","aguru","aiyarakulu","andhra-vaisnawa","ansari-momin-telugu","arakala","are-bondili","are-katika","atollu","bandollu","bania-agarwal-telegu","bayita-kammara","berad","bhondari","budakukkala","cakketakare","camadollu","cundollu","dammali","dasari","gandalla","gandla","ganta-sayebulu","garadi","gavara","godagali","godari","guddi-eluguwallu","hajjam-telugu","hatgar","jakkula","jandra","jethi","kaikali","karnam","karnibhakthulu","kommu-dasari","konda-kammara","kuliya","kurakula","madiga-dasu","majjula","malis","mandula","manna-dhora","medari","mondivogula","muli","musti-chenchu","nagavamsam","nakhasa","neyyala","ontaris","padigarajulu","pagativeshagallu","paky","pamidi","pamula","pancaratra-srivaisnavas-brahmans","reddi-dora","reddika","runjalavallu","sadaru","sadhu-chetty","sakunapaksollu","samayavallu","senapathi","silavantulu","swakulasali-koshti","tamboli-telugu","thogataveera-kshatriya","tirugatigantla","tolakari","udupula","uppara","vaikhanasa-brahmans","vipravinodulu","yata","yatagiri","yatla","yite"]},
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{"id":"india-ar","iso":"IN-AR","kind":"state","name":"Arunachal Pradesh","shapeName":"Arunāchal Pradesh","bbox":[91.546,26.651,97.411,29.462],"count":7,"slugs":["khamba","khamyang","khowa","momba","na","serdukpen","zakhrin"]},
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{"id":"india-as","iso":"IN-AS","kind":"state","name":"Assam","shapeName":"Assam","bbox":[89.699,24.136,96.018,27.972],"count":15,"slugs":["aiton","bilaspuri","chamar-assamese","hajjam-assamese","kumhar-assamese","man","maria-muslims","matak","mukhi","nai-assamese","namasudra-assamese","sudra-das","taiphake","teli-assamese","turun"]},
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{"id":"india-br","iso":"IN-BR","kind":"state","name":"Bihar","shapeName":"Bihār","bbox":[83.32,24.286,88.3,27.522],"count":18,"slugs":["banpar","camma","dhamin","gadihar","gandharv","hindu-santarash","jains-maithili","jogi-angika","kadar","mukeri","nalband","rajdhop","sahisia","shershabadia","thakurai","tikulhara","tilli","turuk-pasi"]},
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{"id":"india-ch","iso":"IN-CH","kind":"union_territory","name":"Chandigarh","shapeName":"Chandīgarh","bbox":[76.705,30.666,76.849,30.795],"count":1,"slugs":["khatik-punjabi"]},
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{"id":"india-ct","iso":"IN-CT","kind":"state","name":"Chhattisgarh","shapeName":"Chhattīsgarh","bbox":[80.244,17.782,84.396,24.106],"count":24,"slugs":["badhai-chhattisgarhi","bairagi-chhattisgarhi","bargah","beldar-chhattisgarhi","bhangi-chhattisgarhi","bharewa","bharia-bhumia-chhattisgarhi","bhattra-bhatri","bhunjia","chaikwa","dhakad-halbi","dom-chhattisgarhi","ghadwa","gosain-chhattisgarhi","jogi-halbi","kalal-sadri","khairwar-chhattisgarhi","khatik-chhattisgarhi","kol-chhattisgarhi","munnewar","panara","pando","sayyid-chhattisgarhi","son-koli"]},
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{"id":"india-dh","iso":"IN-DH","kind":"union_territory","name":"Dadra and Nagar Haveli and Daman and Diu","shapeName":"Dādra and Nagar Haveli and Damān and Diu","bbox":[70.876,20.047,73.218,20.743],"count":1,"slugs":["sagharias"]},
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{"id":"india-dl","iso":"IN-DL","kind":"union_territory","name":"Delhi","shapeName":"Delhi","bbox":[76.839,28.405,77.347,28.884],"count":1,"slugs":["khatbune"]},
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{"id":"india-ga","iso":"IN-GA","kind":"state","name":"Goa","shapeName":"Goa","bbox":[73.675,14.901,74.336,15.801],"count":5,"slugs":["bania-konkani","gabit","gomantak-maratha","mhalo","mith-gauda"]},
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{"id":"india-gj","iso":"IN-GJ","kind":"state","name":"Gujarat","shapeName":"Gujarāt","bbox":[68.093,20.12,74.477,24.712],"count":90,"slugs":["agaria","agri","anjana-patel-gujarati","bafan","bairagi-gujarati","baloch","bamcha","banjania","barot","barthari","bhodala","borpi","caki","champta","cunara","dafer","dangasiya","dasnami-bawa","depala","dudhwala","gadhai","galiara","garmatan","garvi","gavli","ghantiya","golarana","gosain-gujarati","hajjam-gujarati","halaypotra","hingora","hingorza","jat-muslim","juneja","kahar-gujarati","kamalia","kambodia-bhagat","kapadi","kasar-gujarati","kasbati","kathi","ker","khalpa","khaskeli","khatik-gujarati","langa","machhiyara","majothi","makrani","mandali-muslims","mer","mir","miyana","moghol-gujarati","mujavar","muslim-khatri","muslim-lakhera","muslim-patel","mutwa","narsinghpura","nayak-muslims","node","padhar","panar","paradhi","patanwadia","patni-jamat","patni-vankars","pomla","rathodia","raysipotra","royma","sagar","sandhai-muslims","saranias","sayyid-gujarati","shravan","siddi","sompura-salat","tai","targala","theba","tirgar","turi-barot","vadi","vahivanca-barot","vayati","vyapari","wagheri","wandharo"]},
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{"id":"india-hp","iso":"IN-HP","kind":"state","name":"Himachal Pradesh","shapeName":"Himāchal Pradesh","bbox":[75.594,30.378,79.009,33.257],"count":20,"slugs":["bhojki","daule","dhaki","dosali","gosain-kangri","hadi","hesi","khatik-chambeali","malaneese","masku","nar","nicar","pangwal-buddhists","pangwala","rehar","sanhai","sansoi","seok","swangla","thavi"]},
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{"id":"india-hr","iso":"IN-HR","kind":"state","name":"Haryana","shapeName":"Haryāna","bbox":[74.474,27.653,77.604,30.929],"count":4,"slugs":["arain-punjabi","hajjam-haryanvi","kucband","lakhera-haryanvi"]},
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{"id":"india-jh","iso":"IN-JH","kind":"state","name":"Jharkhand","shapeName":"Jhārkhand","bbox":[83.33,21.97,87.962,25.349],"count":9,"slugs":["dhekaro","jadupetia","jarkhandi-hajjam","jarkhandi-julaha","jharkhandi-nai","modaks","nagbansi","puran","sukiyar"]},
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{"id":"india-jk","iso":"IN-JK","kind":"union_territory","name":"Jammu and Kashmir","shapeName":"Jammu and Kashmīr","bbox":[73.39,32.276,76.78,35.118],"count":33,"slugs":["arain-dogri","bania-dogri","bhand-kashmiri","bomba","budhan","cheintz","chopan","dhobi-dogri","dhyar","domal","galwan","ganz","gardi","gorkun","hajjam-kashmiri","kawoj","kraal","lohar-dogri","manhas","manjygur-muslims","moghol-dogri","nagbansi-dogri","najjar","namdagur","naqqas","pohul","ratal","sayyid-pahari","shaksaz","shina-india","sofi","sudhan","waza"]},
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{"id":"india-ka","iso":"IN-KA","kind":"state","name":"Karnataka","shapeName":"Karnātaka","bbox":[74.086,11.595,78.588,18.459],"count":81,"slugs":["adiyan","agasa","ansari-momin-kannada","arasu","ayri","bagga","baira","balasantoshi","bandi","bania-kannada","batada","bayil-kammara","bayil-pattar","bellara","bestha","chaptegar","charodi","chenna-dasar","dombi-dasa","durga-murga","galada-kokani","ganti-chores","gatti","gauli","ghadi","godda","gond-kannada","gudikara","guraw","hajjam-kannada","halleer","harkantra","hasalaru","helawa","holeya-dasari","jatigar","jaweri","jogi-telugu","jogi-tulu","khakar","kolari","komara-panta","koosa","koraga-korra","kottari","koyava","kudiya","kudubi","kummara-kumbara","kurahina-setti","ladar","maila","malaikudi","maleru","manser","meda","mogaveera","mundala","nadors","nai-kannada","nairy","natua","nawaiyat","padarthis","padiyar","pambada","pattegar","pendar","pinjara-kannada","rachavar","raddi","rajapuri","raneyar","raval","raya-rawat","sapalyas","sayyid-kannada","soligaru","sudir","thammadi","vilyagaras"]},
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{"id":"india-kl","iso":"IN-KL","kind":"state","name":"Kerala","shapeName":"Kerala","bbox":[74.868,8.292,77.412,12.796],"count":72,"slugs":["allar","ambalavasi","anthur-nair","arayavati","ayyanavar","bakuda","bania-malayalam","bowis-mogeyar","cakkala","cakkyar-nambiyar","chakkiyar","chamar-muchi-malayalam","chengazhi-nambiar","cingatanmar","dheevara","erawallan","ezhavathi","ilayatu","kakkalan","kalanadies","kalladi","kallattu-kurup","karimpalan","kavara","kavuthiyan","kidaran","kocu-wellan","kollan","kootan","kumar-kshatriya","kummara-kusuvan","kunduvadian","kurukkal","malai-pandaram","malayalar","maran-nairs","marasari","mavilan","moger-malayalam","moothan","mukkari","musari","muttatu","nalkadaya","nambutiris","narsanna","nasuvan","nayadi","otans","padannan","palakad-tandans","pandithar","pathinaickans","pathiyan","pisaroti","poduval","pulisari","puspakan-unni","reddi","samanthan","thachanad-moopan","tiyattunni","urindavan","vadugan","valinjiyar","vetan","vilkurup","visavan","wainadan-cetti","wainadan-kader","wainadan-pulayan","wayanad-pathiyan"]},
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{"id":"india-la","iso":"IN-LA","kind":"union_territory","name":"Ladakh","shapeName":"Ladākh","bbox":[72.529,32.338,80.327,37.077],"count":6,"slugs":["bania-kashmiri","brukpa","campa","dokhpa","mon-india","purig-pa"]},
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{"id":"india-ld","iso":"IN-LD","kind":"union_territory","name":"Lakshadweep","shapeName":"Lakshadweep","bbox":[72.165,8.264,73.702,11.704],"count":1,"slugs":["laccadive"]},
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{"id":"india-mh","iso":"IN-MH","kind":"state","name":"Maharashtra","shapeName":"Mahārāshtra","bbox":[72.655,15.606,80.898,22.034],"count":54,"slugs":["attar-saibulu","baharupi","barda","bari-marathi","bharwad","bhoi-marathi","chari","chitari","citrakathi","dhawad","dom-marathi","garodi","garpagari","gondhali","gopal","hardas","hatkar","jhadi","kachchi-kushwaha","kaghzi","kapewar","kasikapadi","kathar","kharvi","khatik-marathi","kokaniz","kolhati","kudimahan","ladsi","lajjhar","lodha-marathi","lonar","mana","mitna","mondiwar","muslim-kachera","nahal","naikpod","nandiwala","neeli","nilkanth","pangul","phularis","pinjara-marathi","pochammalollu","prabhu-patane","sahi","sanghar","sarodi","sutar-mistry","takari","velip","waidu","yelmar"]},
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{"id":"india-ml","iso":"IN-ML","kind":"state","name":"Meghalaya","shapeName":"Meghālaya","bbox":[89.814,25.029,92.803,26.12],"count":2,"slugs":["banai","dalu-india"]},
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{"id":"india-mn","iso":"IN-MN","kind":"state","name":"Manipur","shapeName":"Manipur","bbox":[92.971,23.833,94.745,25.692],"count":5,"slugs":["koiren","lois","pangans","thanga","yatibi"]},
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{"id":"india-mp","iso":"IN-MP","kind":"state","name":"Madhya Pradesh","shapeName":"Madhya Pradesh","bbox":[74.03,21.07,82.81,26.869],"count":33,"slugs":["anjana","banchada","baraua","bari-hindi","basudeva","berar","bhanumati","bhurtia","dhed","gachha","hajjam-hindi","jadam","jains-hindi","kachera-bagheli","kandera","kasar-hindi","ladia","lahangir","manbhav","mankar","muskhan","muslim-gond","naita","namdeo","naoda","nat-bagheli","nema","rujjhar","sais","sikligar","sisgars","soria","zamral"]},
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{"id":"india-mz","iso":"IN-MZ","kind":"state","name":"Mizoram","shapeName":"Mizoram","bbox":[92.257,21.941,93.436,24.521],"count":0,"slugs":[]},
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{"id":"india-nl","iso":"IN-NL","kind":"state","name":"Nagaland","shapeName":"Nāgāland","bbox":[93.327,25.199,95.242,27.036],"count":0,"slugs":[]},
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{"id":"india-or","iso":"IN-OR","kind":"state","name":"Odisha","shapeName":"Odisha","bbox":[81.388,17.813,87.486,22.568],"count":64,"slugs":["baha-i","bairagi-odia","bangti","banka","bari-odia","bauti","bavuri","bhoi-odia","bondo","brahman-jyoti","candhai-maru","chatarkheya","cherua","citrakar","daitapati","damla","darji-odia","dhera","didayi","eneti-dora","ghantarghada","ghogia","ghusuria","godra","guna","irika","janughanta","jogi-odia","kachchi-alia","kamila","kapasiya","kasar-odia","khadura","khandwal","khati-odia","kobari","koraga","kuda","kuli","kurunga","kusta","liari","maghia","mahuria","malia","markande-kanjia","mundapotta","nai-odia","naksia","noliya","oriya","panka-odia","parenga","radhi","rana","sabakhia","samasi","sanei","sayyid-odia","sinduria","suda","thanapati","tharua","tula-vina"]},
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{"id":"india-pb","iso":"IN-PB","kind":"state","name":"Punjab","shapeName":"Punjab","bbox":[73.88,29.542,76.939,32.513],"count":4,"slugs":["daoli","gagra","pinjara-punjabi","racband"]},
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{"id":"india-py","iso":"IN-PY","kind":"union_territory","name":"Puducherry","shapeName":"Puducherry","bbox":[75.527,10.827,82.344,16.761],"count":5,"slugs":["indo-french","indo-vietnamese","sonavar","vettalaikarans","vettiyan"]},
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{"id":"india-rj","iso":"IN-RJ","kind":"state","name":"Rajasthan","shapeName":"Rājasthān","bbox":[69.484,23.061,78.272,30.198],"count":48,"slugs":["badi-marwari","baret","bargi","bhopa","bhutta","cejara","chadwa","chheepi","chobdar","chungar","cudigar","dadupanthi","damami","dhola","ghihara","gosain-rajasthani","gurru","hiranbaj","khadim","kharol","kriyagar","laskari","mangnyar-muslims","moghol-marwari","mogia","murhid","nagda","nai-mewari","nyaria","pajabgar","pakhimara","rajkumhar","rajpurohit","rath","runwalas","sain","sanchia","santia","saraogi","shikari","singiwala","sorgars","sunga","tak","usta","van-baoriya","ved","vijabargiya"]},
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{"id":"india-sk","iso":"IN-SK","kind":"state","name":"Sikkim","shapeName":"Sikkim","bbox":[88.014,27.079,88.92,28.129],"count":1,"slugs":["yakha"]},
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{"id":"india-tg","iso":"IN-TG","kind":"state","name":"Telangana","shapeName":"Telangāna","bbox":[77.236,15.836,81.323,19.916],"count":26,"slugs":["are-kapu","attagara","bhatrajulu","bindla","bolla","cippollu","gangireddula","gosangi","gurika","jains-telugu","kachi","katipamula","khatik-telugu","lakkamari-kapu","mala-masti","matangi","mitha-ayyalavar","moghal-telugu","muchi-chamar","pambala","pariki-muggula","patkars","rajannalu","saradagallu","sindhollu","verra-musti"]},
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{"id":"india-tn","iso":"IN-TN","kind":"state","name":"Tamil Nadu","shapeName":"Tamil Nādu","bbox":[76.233,8.077,80.347,13.565],"count":64,"slugs":["alavan","ansari-momin-tamil","anuppan","aranadan","baig","bondili","cekkala","chamar-muchi-tamil","chayakkaran","dasa-palanjika","dayare","dhobi-tamil","gangawar","gudugudupandi","gurukkal","jains-tamil","jati-pillai","kambalattan","kambar","kannada-naicker","kannada-saineegar","karaiyar","karlar","karna-sale","katesar","kattiakaran","kayalar","kepmari","koliyan","kongu-vaisnawa","kongu-vellala-gounder","kota","krishnavaka","kudumi","kuluvan","kummara-kummari","kunnuva-vellalar","malai-vellala","maleyan","maniyattikkaran","mudugar","nakkala","namdeo-maratha","nanjil-mudali","pannadi","panniandi","parkavakulam","parvatarajakulam","pattanavan","perumkollar","salivahanam","savalakkarar","sayyid-tamil","semman","senaithalaivar","siviar","tambiran","tholuva-naicker","thoraiyar","tondman","uppillian","urikkar-naicker","vellaiyan-kuppam-padaiyaci","vettaikkaran"]},
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{"id":"india-tr","iso":"IN-TR","kind":"state","name":"Tripura","shapeName":"Tripura","bbox":[91.15,22.939,92.332,24.528],"count":11,"slugs":["bajandar","banik-bania","barua","haluadas","kanda","mahisyadas","malakar","sabar","saha","shabdakar","tripuri-namasudra"]},
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{"id":"india-up","iso":"IN-UP","kind":"state","name":"Uttar Pradesh","shapeName":"Uttar Pradesh","bbox":[77.084,23.87,84.635,30.406],"count":23,"slugs":["ahmadiya","arain-kannauji","badhik","badi","balahar","bargala","bargujar","bhuiyar","bisati","charwaha","gadhia","habura","hijra","kankali","khangar-bundeli","mujavir","pankhiya","patari","putliwale","rai-bhat-muslims","rastogi","rave","sheikhzade"]},
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{"id":"india-ut","iso":"IN-UT","kind":"state","name":"Uttarakhand","shapeName":"Uttarākhand","bbox":[77.573,28.723,81.045,31.456],"count":7,"slugs":["anwal","chaudangsi","jimdar","kuthliya-bora","raji-india","sayyid-garhwali","tagewale"]},
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{"id":"india-wb","iso":"IN-WB","kind":"state","name":"West Bengal","shapeName":"West Bengal","bbox":[85.82,21.484,89.874,27.221],"count":30,"slugs":["angarok","ansari-momin-bengali","bagti","baida","baisya","bhakta","bhalla","bhujel","byadh","chunari","dhal-kstriya","dhimal","ghazi","hajjam-bengali","jains-bengali","kakmara","kapuria","kasar-bengali","khairwar-bengali","khalifa","khatik-bengali","kurol","mirshikar","paharia","pinjara-dhunia-bengali","siyalgar","sunuwar","sutradhar","tamboli-bengali","tripuri-kumhar"]}
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]}
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internal/check-india-states.mjs
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internal/check-india-states.mjs
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#!/usr/bin/env node
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// check-india-states — India's states-and-union-territories table (data/people-groups/india-states.json) stays
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// TRUE to the stamping it is derived from, and the served copy is the pinned one.
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//
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// WHY: UPG-100's batch selection finds a state's people groups in it, and Country Posters builds one poster per
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// state / union territory from it. When the people-group data changes, the stamping is redone
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// (pip-stamp.mjs → admin-membership.json) and this table must follow; a table that silently kept the old
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// membership would print confident, wrong posters. Headless, no network. Asserts:
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// A. SHAPE: all 36 divisions of ISO 3166-2:IN, 28 'state' + 8 'union_territory', unique iso and id
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// (india-<code>), each with a sane bbox inside India, count == slugs.length; Nagaland + Mizoram present
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// even with no people groups (each consumer decides what an empty division shows).
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// B. MEMBERSHIP: the union of every division's slugs == admin-membership.json's India slugs (855 today), and
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// every slug sits in exactly ONE division.
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// C. SHAPES MATCH: every shapeName is a feature of the served geometry (and of the full geometry it is cut from),
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// so a poster can highlight its shape by the exact property.
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// D. NO DRIFT: re-deriving the table from today's inputs gives the committed bytes, and the input sha384s
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// recorded in meta are the files on disk — a changed stamping without a re-emit FAILS here.
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// E. PIN: INDIA_STATES_SHA384 == sha384(the committed bytes) == sha384(the served copy in the tree); size ceiling.
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import { readFileSync, existsSync } from 'node:fs'
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import { createHash } from 'node:crypto'
|
||||
import { resolve, dirname, join } from 'node:path'
|
||||
import { fileURLToPath, pathToFileURL } from 'node:url'
|
||||
|
||||
const REPO = resolve(dirname(fileURLToPath(import.meta.url)), '..')
|
||||
const P = (...a) => join(REPO, ...a)
|
||||
const fails = []
|
||||
const notes = []
|
||||
const ok = (cond, msg, note) => { if (!cond) fails.push(msg); else if (note) notes.push(` ok ${note}`) }
|
||||
const sha = (buf) => 'sha384-' + createHash('sha384').update(buf).digest('base64')
|
||||
|
||||
const TABLE = P('data/people-groups/india-states.json')
|
||||
const SERVED = P('public/dx-maps/assets/people-groups/india-states.json')
|
||||
const SIZE_CEILING = 24 * 1024
|
||||
let raw, table, membership, emitter, pin, full, web
|
||||
try {
|
||||
raw = readFileSync(TABLE)
|
||||
table = JSON.parse(raw)
|
||||
membership = JSON.parse(readFileSync(P('plugin-designs/my-upg-100-list/data/admin-membership.json'), 'utf8'))
|
||||
emitter = await import(pathToFileURL(P('plugin-designs/my-upg-100-list/data/emit-india-states.mjs')).href)
|
||||
;({ INDIA_STATES_SHA384: pin } = await import(pathToFileURL(P('library/data/indiaStates.integrity.js')).href))
|
||||
full = JSON.parse(readFileSync(P('data/boundaries/gb-IND-ADM1-full.geojson'), 'utf8'))
|
||||
web = JSON.parse(readFileSync(P('data', table.meta.served_geometry), 'utf8'))
|
||||
} catch (e) {
|
||||
console.error(`INDIA-STATES: NOT MEASURED (exit 75) — an input did not load: ${e.message}`)
|
||||
process.exit(75)
|
||||
}
|
||||
const states = table.states || []
|
||||
|
||||
// ── A. shape ─────────────────────────────────────────────────────────────────────────────────────
|
||||
const isos = states.map((s) => s.iso), ids = states.map((s) => s.id)
|
||||
const kinds = { state: 0, union_territory: 0 }
|
||||
for (const s of states) kinds[s.kind] = (kinds[s.kind] || 0) + 1
|
||||
ok(states.length === 36 && new Set(isos).size === 36 && isos.every((i) => emitter.IN_DIVISIONS[i]),
|
||||
`the table has ${states.length} divisions (${new Set(isos).size} distinct ISO codes); ISO 3166-2:IN has 36`)
|
||||
ok(kinds.state === 28 && kinds.union_territory === 8 && Object.keys(kinds).length === 2,
|
||||
`kinds are ${JSON.stringify(kinds)}, expected 28 state + 8 union_territory`, 'all 36 divisions: 28 states + 8 union territories, unique ISO codes')
|
||||
ok(new Set(ids).size === 36 && states.every((s) => s.id === 'india-' + s.iso.slice(3).toLowerCase()),
|
||||
'ids are not the unique india-<code> form', 'ids are india-<code>, unique (wall cards, packet file names)')
|
||||
const badBox = states.filter((s) => !(Array.isArray(s.bbox) && s.bbox.length === 4 && s.bbox[0] < s.bbox[2] && s.bbox[1] < s.bbox[3]
|
||||
&& s.bbox[0] >= 67 && s.bbox[2] <= 98 && s.bbox[1] >= 6 && s.bbox[3] <= 38)).map((s) => s.iso)
|
||||
ok(!badBox.length, `bboxes out of shape or outside India: ${badBox.join(', ')}`)
|
||||
const badCount = states.filter((s) => !Array.isArray(s.slugs) || s.count !== s.slugs.length).map((s) => s.iso)
|
||||
ok(!badCount.length, `count != slugs.length for ${badCount.join(', ')}`, 'every bbox sits inside India; every count is its slugs\' length')
|
||||
ok(['IN-NL', 'IN-MZ'].every((i) => isos.includes(i)), 'Nagaland or Mizoram is missing: an empty division must still be listed')
|
||||
|
||||
// ── B. membership ────────────────────────────────────────────────────────────────────────────────
|
||||
const india = Object.entries(membership).filter(([, m]) => m && m.country === 'IND').map(([s]) => s).sort()
|
||||
const seen = new Map()
|
||||
for (const s of states) for (const slug of s.slugs || []) seen.set(slug, (seen.get(slug) || 0) + 1)
|
||||
const twice = [...seen].filter(([, n]) => n > 1).map(([s]) => s)
|
||||
const missing = india.filter((s) => !seen.has(s)), extra = [...seen.keys()].filter((s) => !india.includes(s))
|
||||
ok(!twice.length, `slugs in more than one division: ${twice.slice(0, 6).join(', ')}`)
|
||||
ok(!missing.length && !extra.length,
|
||||
`membership differs from admin-membership.json: missing ${missing.slice(0, 5).join(', ') || '-'}; extra ${extra.slice(0, 5).join(', ') || '-'}`,
|
||||
`the ${india.length} India people groups, each in exactly one division (= admin-membership.json)`)
|
||||
|
||||
// ── C. shapes match the geometry ─────────────────────────────────────────────────────────────────
|
||||
const webNames = new Set(web.features.map((f) => f.properties[table.meta.shape_property]))
|
||||
const fullNames = new Set(full.features.map((f) => f.properties.shapeName))
|
||||
const noShape = states.filter((s) => !webNames.has(s.shapeName) || !fullNames.has(s.shapeName)).map((s) => s.shapeName)
|
||||
ok(!noShape.length, `shapeNames not in ${table.meta.served_geometry}: ${noShape.join(', ')}`,
|
||||
`every shapeName is a feature of ${table.meta.served_geometry}`)
|
||||
|
||||
// ── D. no drift ──────────────────────────────────────────────────────────────────────────────────
|
||||
for (const [k, inp] of Object.entries(table.meta.inputs || {})) {
|
||||
const now = existsSync(P(inp.path)) ? sha(readFileSync(P(inp.path))) : 'MISSING'
|
||||
ok(now === inp.sha384, `meta.inputs.${k} (${inp.path}) changed since the table was emitted: re-run node plugin-designs/my-upg-100-list/data/emit-india-states.mjs`)
|
||||
}
|
||||
let rebuilt = null
|
||||
try { rebuilt = emitter.buildIndiaStates().text } catch (e) { fails.push(`re-deriving the table threw: ${e.message}`) }
|
||||
ok(rebuilt === raw.toString('utf8'), 'the committed table is not what the emitter derives from today\'s inputs: re-run the emitter',
|
||||
'NO DRIFT: re-derived from today\'s inputs it is byte-identical, and meta\'s input sha384s are the files on disk')
|
||||
|
||||
// ── E. pin + served copy ─────────────────────────────────────────────────────────────────────────
|
||||
ok(pin === sha(raw), `INDIA_STATES_SHA384 (${String(pin).slice(0, 20)}…) is not the table's sha384 (${sha(raw).slice(0, 20)}…): re-run the emitter`)
|
||||
ok(existsSync(SERVED) && sha(readFileSync(SERVED)) === pin, existsSync(SERVED)
|
||||
? 'the served copy (public/dx-maps/assets/people-groups/india-states.json) is not the pinned table: run bun run tree'
|
||||
: 'the table is not in the tree (public/dx-maps/assets/people-groups/india-states.json): add it to generate-tree\'s allowlist and run bun run tree',
|
||||
'pin == the table == the served copy')
|
||||
ok(raw.length <= SIZE_CEILING, `the table is ${raw.length} B, over the ${SIZE_CEILING} B ceiling`, `${raw.length} B (ceiling ${SIZE_CEILING})`)
|
||||
|
||||
for (const n of notes) console.log(n)
|
||||
if (fails.length) {
|
||||
console.error('INDIA-STATES: FAIL')
|
||||
for (const f of fails) console.error(` ✗ ${f}`)
|
||||
process.exit(1)
|
||||
}
|
||||
console.log('INDIA-STATES: PASS — 36 divisions, every India people group in exactly one, shapes match the served geometry, no drift from the stamping, and the served copy is the pinned one.')
|
||||
|
|
@ -1954,6 +1954,10 @@ function main() {
|
|||
// people-groups — all-people-groups.vue (the slim JSON only; NOT the 16 MB CSV,
|
||||
// which no element fetches and which dropin.exclude already withholds).
|
||||
'people-groups/people-groups-slim.json',
|
||||
// …and India's states and union territories with their people groups (data/people-groups/india-states.json),
|
||||
// fetched by library/data/indiaStates.js only when a state is needed (UPG-100's batch selection, Country
|
||||
// Posters' India section). sha384-pinned in library/data/indiaStates.integrity.js.
|
||||
'people-groups/india-states.json',
|
||||
// …and its compact cut (build-points.mjs): what all-people-groups actually fetches, 0.74 MB.
|
||||
'people-groups/people-groups-points.json',
|
||||
// pplr-data-maps — fetched through dataUrl() (src/utils/pplrData.js). pg-names.json loads
|
||||
|
|
|
|||
4
library/data/indiaStates.integrity.js
Normal file
4
library/data/indiaStates.integrity.js
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
// GENERATED by plugin-designs/my-upg-100-list/data/emit-india-states.mjs, in the same run that writes
|
||||
// data/people-groups/india-states.json: the sha384 of its exact bytes. library/data/indiaStates.js refuses a served
|
||||
// copy that does not match. Do not edit by hand; re-run the emitter.
|
||||
export const INDIA_STATES_SHA384 = 'sha384-PC2ve+U+IHimP8b4GBPS7LpbXqQKFzxtS8fs6I4pXBP7OqXOAqBx7kiWG0FWjxL6'
|
||||
52
library/data/indiaStates.js
Normal file
52
library/data/indiaStates.js
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
// indiaStates.js — India's 28 states and 8 union territories, each with the people groups located inside it.
|
||||
//
|
||||
// SERVED, NOT BUNDLED: the table (data/people-groups/india-states.json, written by
|
||||
// plugin-designs/my-upg-100-list/data/emit-india-states.mjs) ships as assets/people-groups/india-states.json and is
|
||||
// fetched here only when a state is actually needed (a state in UPG-100's batch selection, Country Posters' India
|
||||
// section). This build inlines every import(), so a bundled table would ride every page load.
|
||||
//
|
||||
// Same shape as library/packet/packetStrings.js: the copy must match the sha384 pinned in the SAME emitter run
|
||||
// (indiaStates.integrity.js), one promise per URL, and a failure is dropped from the cache so a later call
|
||||
// fetches again instead of inheriting one bad moment. It REJECTS on failure: there is no honest fallback for
|
||||
// "which people groups live in this state".
|
||||
//
|
||||
// const t = await loadIndiaStates(assetsBase)
|
||||
// t.states → [{ id:'india-gj', iso:'IN-GJ', kind:'state'|'union_territory', name, shapeName, bbox, count, slugs }]
|
||||
// t.byShapeName → Map(shapeName → entry) (the map's ADM1 features carry shapeName)
|
||||
// t.byIso → Map(iso → entry)
|
||||
import { INDIA_STATES_SHA384 } from './indiaStates.integrity.js'
|
||||
import { sha384 } from '../packet/sha384.js'
|
||||
|
||||
const PAGE_BASE = globalThis.document?.baseURI || undefined
|
||||
const cache = new Map()
|
||||
|
||||
export function indiaStatesUrl(assetsBase) {
|
||||
return new URL(`${assetsBase}/people-groups/india-states.json`, PAGE_BASE).href
|
||||
}
|
||||
|
||||
export function loadIndiaStates(assetsBase) {
|
||||
if (!assetsBase) return Promise.reject(new Error('no assets base to fetch india-states.json from'))
|
||||
let url
|
||||
try { url = indiaStatesUrl(assetsBase) } catch (e) { return Promise.reject(e) }
|
||||
if (!cache.has(url)) {
|
||||
const p = (async () => {
|
||||
const res = await fetch(url, { cache: 'force-cache' })
|
||||
if (!res.ok) throw new Error(`india-states.json not served (${res.status})`)
|
||||
const text = await res.text()
|
||||
if ((await sha384(text)) !== INDIA_STATES_SHA384) throw new Error('india-states.json failed its integrity check')
|
||||
const data = JSON.parse(text)
|
||||
const states = Array.isArray(data.states) ? data.states : []
|
||||
return {
|
||||
meta: data.meta || {},
|
||||
states,
|
||||
byShapeName: new Map(states.map((s) => [s.shapeName, s])),
|
||||
byIso: new Map(states.map((s) => [s.iso, s])),
|
||||
}
|
||||
})()
|
||||
p.catch(() => { if (cache.get(url) === p) cache.delete(url) })
|
||||
cache.set(url, p)
|
||||
}
|
||||
return cache.get(url)
|
||||
}
|
||||
|
||||
export default { loadIndiaStates, indiaStatesUrl }
|
||||
103
plugin-designs/my-upg-100-list/data/emit-india-states.mjs
vendored
Normal file
103
plugin-designs/my-upg-100-list/data/emit-india-states.mjs
vendored
Normal file
|
|
@ -0,0 +1,103 @@
|
|||
#!/usr/bin/env node
|
||||
// emit-india-states.mjs — India's states and union territories, each with the people groups inside it.
|
||||
//
|
||||
// node plugin-designs/my-upg-100-list/data/emit-india-states.mjs
|
||||
//
|
||||
// ONE table, two consumers: UPG-100's batch selection (a state selection finds its people groups) and Country
|
||||
// Posters' India section (one poster per state / union territory). It is SERVED, not bundled: the tree ships it
|
||||
// as assets/people-groups/india-states.json and library/data/indiaStates.js fetches it only when a state is
|
||||
// needed, checked against the sha384 pin this script writes in the SAME run (so a re-emit can never leave a
|
||||
// stale pin behind).
|
||||
//
|
||||
// DERIVED, NOT RE-STAMPED. The membership comes from the committed admin-membership.json (pip-stamp.mjs: a
|
||||
// point-in-polygon of every live record's coordinates against the ADM1 shapes, with a nearest-centroid fallback
|
||||
// for border slivers). Re-stamping here would re-place all 2,106 records from today's data and move the counts
|
||||
// baked from that file; deriving keeps the two in step, and check:india-states fails if they ever drift (it
|
||||
// compares the input sha384s recorded in meta with the files on disk).
|
||||
//
|
||||
// The ids, codes, kinds and English names are fixed by ISO 3166-2:IN (28 states + 8 union territories). The
|
||||
// shape names come from the geometry, so a poster can highlight its shape by the exact feature property.
|
||||
import { readFileSync, writeFileSync } from 'node:fs'
|
||||
import { createHash } from 'node:crypto'
|
||||
import { dirname, join, resolve, relative } from 'node:path'
|
||||
import { fileURLToPath } from 'node:url'
|
||||
|
||||
const HERE = dirname(fileURLToPath(import.meta.url))
|
||||
const REPO = resolve(HERE, '..', '..', '..')
|
||||
const MEMBERSHIP = join(HERE, 'admin-membership.json')
|
||||
const GEOMETRY = join(REPO, 'data', 'boundaries', 'gb-IND-ADM1-full.geojson')
|
||||
const SERVED_GEOMETRY = 'boundaries/gb-IND-ADM1-full-web.geojson' // what a poster fetches; the same 36 shapeNames
|
||||
const OUT = join(REPO, 'data', 'people-groups', 'india-states.json')
|
||||
const PIN = join(REPO, 'library', 'data', 'indiaStates.integrity.js')
|
||||
|
||||
// ISO 3166-2:IN — code → [English name, kind]
|
||||
export const IN_DIVISIONS = {
|
||||
'IN-AN': ['Andaman and Nicobar Islands', 'union_territory'], 'IN-AP': ['Andhra Pradesh', 'state'],
|
||||
'IN-AR': ['Arunachal Pradesh', 'state'], 'IN-AS': ['Assam', 'state'], 'IN-BR': ['Bihar', 'state'],
|
||||
'IN-CH': ['Chandigarh', 'union_territory'], 'IN-CT': ['Chhattisgarh', 'state'],
|
||||
'IN-DH': ['Dadra and Nagar Haveli and Daman and Diu', 'union_territory'], 'IN-DL': ['Delhi', 'union_territory'],
|
||||
'IN-GA': ['Goa', 'state'], 'IN-GJ': ['Gujarat', 'state'], 'IN-HP': ['Himachal Pradesh', 'state'],
|
||||
'IN-HR': ['Haryana', 'state'], 'IN-JH': ['Jharkhand', 'state'], 'IN-JK': ['Jammu and Kashmir', 'union_territory'],
|
||||
'IN-KA': ['Karnataka', 'state'], 'IN-KL': ['Kerala', 'state'], 'IN-LA': ['Ladakh', 'union_territory'],
|
||||
'IN-LD': ['Lakshadweep', 'union_territory'], 'IN-MH': ['Maharashtra', 'state'], 'IN-ML': ['Meghalaya', 'state'],
|
||||
'IN-MN': ['Manipur', 'state'], 'IN-MP': ['Madhya Pradesh', 'state'], 'IN-MZ': ['Mizoram', 'state'],
|
||||
'IN-NL': ['Nagaland', 'state'], 'IN-OR': ['Odisha', 'state'], 'IN-PB': ['Punjab', 'state'],
|
||||
'IN-PY': ['Puducherry', 'union_territory'], 'IN-RJ': ['Rajasthan', 'state'], 'IN-SK': ['Sikkim', 'state'],
|
||||
'IN-TG': ['Telangana', 'state'], 'IN-TN': ['Tamil Nadu', 'state'], 'IN-TR': ['Tripura', 'state'],
|
||||
'IN-UP': ['Uttar Pradesh', 'state'], 'IN-UT': ['Uttarakhand', 'state'], 'IN-WB': ['West Bengal', 'state'],
|
||||
}
|
||||
|
||||
const sha = (buf) => 'sha384-' + createHash('sha384').update(buf).digest('base64')
|
||||
const rel = (p) => relative(REPO, p).split('\\').join('/')
|
||||
|
||||
export function buildIndiaStates() {
|
||||
const membershipRaw = readFileSync(MEMBERSHIP)
|
||||
const geometryRaw = readFileSync(GEOMETRY)
|
||||
const membership = JSON.parse(membershipRaw)
|
||||
const features = JSON.parse(geometryRaw).features
|
||||
const bySlugState = new Map()
|
||||
for (const [slug, m] of Object.entries(membership)) if (m && m.country === 'IND') bySlugState.set(slug, m.admin1)
|
||||
const bbox = (geom) => {
|
||||
let w = Infinity, s = Infinity, e = -Infinity, n = -Infinity
|
||||
const walk = (c) => { if (typeof c[0] === 'number') { w = Math.min(w, c[0]); e = Math.max(e, c[0]); s = Math.min(s, c[1]); n = Math.max(n, c[1]) } else for (const x of c) walk(x) }
|
||||
walk(geom.coordinates)
|
||||
return [w, s, e, n].map((v) => Math.round(v * 1000) / 1000)
|
||||
}
|
||||
const states = features
|
||||
.map((f) => ({ iso: f.properties.shapeISO, shapeName: f.properties.shapeName, geom: f.geometry }))
|
||||
.sort((a, b) => a.iso.localeCompare(b.iso))
|
||||
.map(({ iso, shapeName, geom }) => {
|
||||
const def = IN_DIVISIONS[iso]
|
||||
if (!def) throw new Error(`the geometry has ${iso} (${shapeName}), which is not an ISO 3166-2:IN division`)
|
||||
const slugs = [...bySlugState].filter(([, st]) => st === shapeName).map(([s]) => s).sort()
|
||||
return { id: 'india-' + iso.slice(3).toLowerCase(), iso, kind: def[1], name: def[0], shapeName, bbox: bbox(geom), count: slugs.length, slugs }
|
||||
})
|
||||
const meta = {
|
||||
what: 'India\'s 28 states and 8 union territories, each with the UPG-100 people groups located inside it (slugs). The term is "states and union territories", never "provinces".',
|
||||
regenerate: 'node plugin-designs/my-upg-100-list/data/emit-india-states.mjs (after pip-stamp.mjs re-stamps admin-membership.json)',
|
||||
inputs: {
|
||||
membership: { path: rel(MEMBERSHIP), sha384: sha(membershipRaw) },
|
||||
geometry: { path: rel(GEOMETRY), sha384: sha(geometryRaw) },
|
||||
},
|
||||
served_geometry: SERVED_GEOMETRY,
|
||||
shape_property: 'shapeName',
|
||||
counts: { states: states.filter((s) => s.kind === 'state').length, union_territories: states.filter((s) => s.kind === 'union_territory').length,
|
||||
people_groups: states.reduce((a, s) => a + s.count, 0) },
|
||||
}
|
||||
// One division per line: small enough to review as a diff, and still one fetch of ~17 KB.
|
||||
const text = '{\n"meta":' + JSON.stringify(meta, null, 1) + ',\n"states":[\n'
|
||||
+ states.map((s) => JSON.stringify(s)).join(',\n') + '\n]}\n'
|
||||
return { text, meta, states }
|
||||
}
|
||||
|
||||
if (import.meta.url === `file://${process.argv[1]}`) {
|
||||
const { text, meta } = buildIndiaStates()
|
||||
writeFileSync(OUT, text)
|
||||
const pin = sha(Buffer.from(text, 'utf8'))
|
||||
writeFileSync(PIN, '// GENERATED by plugin-designs/my-upg-100-list/data/emit-india-states.mjs, in the same run that writes\n'
|
||||
+ '// data/people-groups/india-states.json: the sha384 of its exact bytes. library/data/indiaStates.js refuses a served\n'
|
||||
+ '// copy that does not match. Do not edit by hand; re-run the emitter.\n'
|
||||
+ `export const INDIA_STATES_SHA384 = '${pin}'\n`)
|
||||
console.log(`emit-india-states: ${meta.counts.states} states + ${meta.counts.union_territories} union territories, ${meta.counts.people_groups} people groups`)
|
||||
console.log(` wrote ${rel(OUT)} (${Buffer.byteLength(text)} B) + ${rel(PIN)} (${pin.slice(0, 20)}…)`)
|
||||
}
|
||||
|
|
@ -89,7 +89,10 @@ function loadAdm1(file) {
|
|||
}));
|
||||
}
|
||||
|
||||
const IND_POLYS = loadAdm1("gb-IND-ADM1.geojson");
|
||||
// India is stamped against ALL 36 states and union territories (data/boundaries/gb-IND-ADM1-full.geojson). The
|
||||
// 34-shape map copy beside this file has no Nāgāland or Mizoram, so a group located there would have been
|
||||
// stamped into a neighbour by the fallback (none is today: re-stamped 2026-09-30, 853/855 agree, 0 differ).
|
||||
const IND_POLYS = loadAdm1("../../../data/boundaries/gb-IND-ADM1-full.geojson");
|
||||
const CHN_POLYS = loadAdm1("gb-CHN-ADM1.geojson");
|
||||
|
||||
// Stamp one point against a polygon set. Returns { shapeName, fallback }
|
||||
|
|
@ -186,3 +189,4 @@ console.log(` records: ${records.length}`);
|
|||
console.log(` IND located: ${indCountedTotal} CHN located: ${chnCountedTotal}`);
|
||||
console.log(` real-stamp: ${stampedReal} fallback: ${fallbackCount}`);
|
||||
console.log(` wrote admin-membership.json + admin-counts.json`);
|
||||
console.log(" NEXT: node plugin-designs/my-upg-100-list/data/emit-india-states.mjs (re-derives data/people-groups/india-states.json + its pin; check:india-states fails until you do)");
|
||||
|
|
|
|||
60
public/dx-maps/assets/people-groups/india-states.json
Normal file
60
public/dx-maps/assets/people-groups/india-states.json
Normal file
|
|
@ -0,0 +1,60 @@
|
|||
{
|
||||
"meta":{
|
||||
"what": "India's 28 states and 8 union territories, each with the UPG-100 people groups located inside it (slugs). The term is \"states and union territories\", never \"provinces\".",
|
||||
"regenerate": "node plugin-designs/my-upg-100-list/data/emit-india-states.mjs (after pip-stamp.mjs re-stamps admin-membership.json)",
|
||||
"inputs": {
|
||||
"membership": {
|
||||
"path": "plugin-designs/my-upg-100-list/data/admin-membership.json",
|
||||
"sha384": "sha384-0D8paDuTT3HmH+YQkuuQP0ZIjp84ysz3lIXNaFlNbZKp+OevjnpZjj4FPyi7SJUl"
|
||||
},
|
||||
"geometry": {
|
||||
"path": "data/boundaries/gb-IND-ADM1-full.geojson",
|
||||
"sha384": "sha384-0tTsrv3FE4otJ2OGq7IXCs84Y9lHF7rz3cB+Vhxv76ARuw90JtJt7RLAG91L+/9j"
|
||||
}
|
||||
},
|
||||
"served_geometry": "boundaries/gb-IND-ADM1-full-web.geojson",
|
||||
"shape_property": "shapeName",
|
||||
"counts": {
|
||||
"states": 28,
|
||||
"union_territories": 8,
|
||||
"people_groups": 855
|
||||
}
|
||||
},
|
||||
"states":[
|
||||
{"id":"india-an","iso":"IN-AN","kind":"union_territory","name":"Andaman and Nicobar Islands","shapeName":"Andaman and Nicobar Islands","bbox":[92.204,6.754,93.943,13.673],"count":9,"slugs":["andamanese","bhatu-andamani","brahmin-andamani","coorgi-andamanese","great-andamanese","jarawas","onge","sentinelese","telengi"]},
|
||||
{"id":"india-ap","iso":"IN-AP","kind":"state","name":"Andhra Pradesh","shapeName":"Andhra Pradesh","bbox":[76.761,12.624,84.765,19.168],"count":81,"slugs":["accukattavandlu","aguru","aiyarakulu","andhra-vaisnawa","ansari-momin-telugu","arakala","are-bondili","are-katika","atollu","bandollu","bania-agarwal-telegu","bayita-kammara","berad","bhondari","budakukkala","cakketakare","camadollu","cundollu","dammali","dasari","gandalla","gandla","ganta-sayebulu","garadi","gavara","godagali","godari","guddi-eluguwallu","hajjam-telugu","hatgar","jakkula","jandra","jethi","kaikali","karnam","karnibhakthulu","kommu-dasari","konda-kammara","kuliya","kurakula","madiga-dasu","majjula","malis","mandula","manna-dhora","medari","mondivogula","muli","musti-chenchu","nagavamsam","nakhasa","neyyala","ontaris","padigarajulu","pagativeshagallu","paky","pamidi","pamula","pancaratra-srivaisnavas-brahmans","reddi-dora","reddika","runjalavallu","sadaru","sadhu-chetty","sakunapaksollu","samayavallu","senapathi","silavantulu","swakulasali-koshti","tamboli-telugu","thogataveera-kshatriya","tirugatigantla","tolakari","udupula","uppara","vaikhanasa-brahmans","vipravinodulu","yata","yatagiri","yatla","yite"]},
|
||||
{"id":"india-ar","iso":"IN-AR","kind":"state","name":"Arunachal Pradesh","shapeName":"Arunāchal Pradesh","bbox":[91.546,26.651,97.411,29.462],"count":7,"slugs":["khamba","khamyang","khowa","momba","na","serdukpen","zakhrin"]},
|
||||
{"id":"india-as","iso":"IN-AS","kind":"state","name":"Assam","shapeName":"Assam","bbox":[89.699,24.136,96.018,27.972],"count":15,"slugs":["aiton","bilaspuri","chamar-assamese","hajjam-assamese","kumhar-assamese","man","maria-muslims","matak","mukhi","nai-assamese","namasudra-assamese","sudra-das","taiphake","teli-assamese","turun"]},
|
||||
{"id":"india-br","iso":"IN-BR","kind":"state","name":"Bihar","shapeName":"Bihār","bbox":[83.32,24.286,88.3,27.522],"count":18,"slugs":["banpar","camma","dhamin","gadihar","gandharv","hindu-santarash","jains-maithili","jogi-angika","kadar","mukeri","nalband","rajdhop","sahisia","shershabadia","thakurai","tikulhara","tilli","turuk-pasi"]},
|
||||
{"id":"india-ch","iso":"IN-CH","kind":"union_territory","name":"Chandigarh","shapeName":"Chandīgarh","bbox":[76.705,30.666,76.849,30.795],"count":1,"slugs":["khatik-punjabi"]},
|
||||
{"id":"india-ct","iso":"IN-CT","kind":"state","name":"Chhattisgarh","shapeName":"Chhattīsgarh","bbox":[80.244,17.782,84.396,24.106],"count":24,"slugs":["badhai-chhattisgarhi","bairagi-chhattisgarhi","bargah","beldar-chhattisgarhi","bhangi-chhattisgarhi","bharewa","bharia-bhumia-chhattisgarhi","bhattra-bhatri","bhunjia","chaikwa","dhakad-halbi","dom-chhattisgarhi","ghadwa","gosain-chhattisgarhi","jogi-halbi","kalal-sadri","khairwar-chhattisgarhi","khatik-chhattisgarhi","kol-chhattisgarhi","munnewar","panara","pando","sayyid-chhattisgarhi","son-koli"]},
|
||||
{"id":"india-dh","iso":"IN-DH","kind":"union_territory","name":"Dadra and Nagar Haveli and Daman and Diu","shapeName":"Dādra and Nagar Haveli and Damān and Diu","bbox":[70.876,20.047,73.218,20.743],"count":1,"slugs":["sagharias"]},
|
||||
{"id":"india-dl","iso":"IN-DL","kind":"union_territory","name":"Delhi","shapeName":"Delhi","bbox":[76.839,28.405,77.347,28.884],"count":1,"slugs":["khatbune"]},
|
||||
{"id":"india-ga","iso":"IN-GA","kind":"state","name":"Goa","shapeName":"Goa","bbox":[73.675,14.901,74.336,15.801],"count":5,"slugs":["bania-konkani","gabit","gomantak-maratha","mhalo","mith-gauda"]},
|
||||
{"id":"india-gj","iso":"IN-GJ","kind":"state","name":"Gujarat","shapeName":"Gujarāt","bbox":[68.093,20.12,74.477,24.712],"count":90,"slugs":["agaria","agri","anjana-patel-gujarati","bafan","bairagi-gujarati","baloch","bamcha","banjania","barot","barthari","bhodala","borpi","caki","champta","cunara","dafer","dangasiya","dasnami-bawa","depala","dudhwala","gadhai","galiara","garmatan","garvi","gavli","ghantiya","golarana","gosain-gujarati","hajjam-gujarati","halaypotra","hingora","hingorza","jat-muslim","juneja","kahar-gujarati","kamalia","kambodia-bhagat","kapadi","kasar-gujarati","kasbati","kathi","ker","khalpa","khaskeli","khatik-gujarati","langa","machhiyara","majothi","makrani","mandali-muslims","mer","mir","miyana","moghol-gujarati","mujavar","muslim-khatri","muslim-lakhera","muslim-patel","mutwa","narsinghpura","nayak-muslims","node","padhar","panar","paradhi","patanwadia","patni-jamat","patni-vankars","pomla","rathodia","raysipotra","royma","sagar","sandhai-muslims","saranias","sayyid-gujarati","shravan","siddi","sompura-salat","tai","targala","theba","tirgar","turi-barot","vadi","vahivanca-barot","vayati","vyapari","wagheri","wandharo"]},
|
||||
{"id":"india-hp","iso":"IN-HP","kind":"state","name":"Himachal Pradesh","shapeName":"Himāchal Pradesh","bbox":[75.594,30.378,79.009,33.257],"count":20,"slugs":["bhojki","daule","dhaki","dosali","gosain-kangri","hadi","hesi","khatik-chambeali","malaneese","masku","nar","nicar","pangwal-buddhists","pangwala","rehar","sanhai","sansoi","seok","swangla","thavi"]},
|
||||
{"id":"india-hr","iso":"IN-HR","kind":"state","name":"Haryana","shapeName":"Haryāna","bbox":[74.474,27.653,77.604,30.929],"count":4,"slugs":["arain-punjabi","hajjam-haryanvi","kucband","lakhera-haryanvi"]},
|
||||
{"id":"india-jh","iso":"IN-JH","kind":"state","name":"Jharkhand","shapeName":"Jhārkhand","bbox":[83.33,21.97,87.962,25.349],"count":9,"slugs":["dhekaro","jadupetia","jarkhandi-hajjam","jarkhandi-julaha","jharkhandi-nai","modaks","nagbansi","puran","sukiyar"]},
|
||||
{"id":"india-jk","iso":"IN-JK","kind":"union_territory","name":"Jammu and Kashmir","shapeName":"Jammu and Kashmīr","bbox":[73.39,32.276,76.78,35.118],"count":33,"slugs":["arain-dogri","bania-dogri","bhand-kashmiri","bomba","budhan","cheintz","chopan","dhobi-dogri","dhyar","domal","galwan","ganz","gardi","gorkun","hajjam-kashmiri","kawoj","kraal","lohar-dogri","manhas","manjygur-muslims","moghol-dogri","nagbansi-dogri","najjar","namdagur","naqqas","pohul","ratal","sayyid-pahari","shaksaz","shina-india","sofi","sudhan","waza"]},
|
||||
{"id":"india-ka","iso":"IN-KA","kind":"state","name":"Karnataka","shapeName":"Karnātaka","bbox":[74.086,11.595,78.588,18.459],"count":81,"slugs":["adiyan","agasa","ansari-momin-kannada","arasu","ayri","bagga","baira","balasantoshi","bandi","bania-kannada","batada","bayil-kammara","bayil-pattar","bellara","bestha","chaptegar","charodi","chenna-dasar","dombi-dasa","durga-murga","galada-kokani","ganti-chores","gatti","gauli","ghadi","godda","gond-kannada","gudikara","guraw","hajjam-kannada","halleer","harkantra","hasalaru","helawa","holeya-dasari","jatigar","jaweri","jogi-telugu","jogi-tulu","khakar","kolari","komara-panta","koosa","koraga-korra","kottari","koyava","kudiya","kudubi","kummara-kumbara","kurahina-setti","ladar","maila","malaikudi","maleru","manser","meda","mogaveera","mundala","nadors","nai-kannada","nairy","natua","nawaiyat","padarthis","padiyar","pambada","pattegar","pendar","pinjara-kannada","rachavar","raddi","rajapuri","raneyar","raval","raya-rawat","sapalyas","sayyid-kannada","soligaru","sudir","thammadi","vilyagaras"]},
|
||||
{"id":"india-kl","iso":"IN-KL","kind":"state","name":"Kerala","shapeName":"Kerala","bbox":[74.868,8.292,77.412,12.796],"count":72,"slugs":["allar","ambalavasi","anthur-nair","arayavati","ayyanavar","bakuda","bania-malayalam","bowis-mogeyar","cakkala","cakkyar-nambiyar","chakkiyar","chamar-muchi-malayalam","chengazhi-nambiar","cingatanmar","dheevara","erawallan","ezhavathi","ilayatu","kakkalan","kalanadies","kalladi","kallattu-kurup","karimpalan","kavara","kavuthiyan","kidaran","kocu-wellan","kollan","kootan","kumar-kshatriya","kummara-kusuvan","kunduvadian","kurukkal","malai-pandaram","malayalar","maran-nairs","marasari","mavilan","moger-malayalam","moothan","mukkari","musari","muttatu","nalkadaya","nambutiris","narsanna","nasuvan","nayadi","otans","padannan","palakad-tandans","pandithar","pathinaickans","pathiyan","pisaroti","poduval","pulisari","puspakan-unni","reddi","samanthan","thachanad-moopan","tiyattunni","urindavan","vadugan","valinjiyar","vetan","vilkurup","visavan","wainadan-cetti","wainadan-kader","wainadan-pulayan","wayanad-pathiyan"]},
|
||||
{"id":"india-la","iso":"IN-LA","kind":"union_territory","name":"Ladakh","shapeName":"Ladākh","bbox":[72.529,32.338,80.327,37.077],"count":6,"slugs":["bania-kashmiri","brukpa","campa","dokhpa","mon-india","purig-pa"]},
|
||||
{"id":"india-ld","iso":"IN-LD","kind":"union_territory","name":"Lakshadweep","shapeName":"Lakshadweep","bbox":[72.165,8.264,73.702,11.704],"count":1,"slugs":["laccadive"]},
|
||||
{"id":"india-mh","iso":"IN-MH","kind":"state","name":"Maharashtra","shapeName":"Mahārāshtra","bbox":[72.655,15.606,80.898,22.034],"count":54,"slugs":["attar-saibulu","baharupi","barda","bari-marathi","bharwad","bhoi-marathi","chari","chitari","citrakathi","dhawad","dom-marathi","garodi","garpagari","gondhali","gopal","hardas","hatkar","jhadi","kachchi-kushwaha","kaghzi","kapewar","kasikapadi","kathar","kharvi","khatik-marathi","kokaniz","kolhati","kudimahan","ladsi","lajjhar","lodha-marathi","lonar","mana","mitna","mondiwar","muslim-kachera","nahal","naikpod","nandiwala","neeli","nilkanth","pangul","phularis","pinjara-marathi","pochammalollu","prabhu-patane","sahi","sanghar","sarodi","sutar-mistry","takari","velip","waidu","yelmar"]},
|
||||
{"id":"india-ml","iso":"IN-ML","kind":"state","name":"Meghalaya","shapeName":"Meghālaya","bbox":[89.814,25.029,92.803,26.12],"count":2,"slugs":["banai","dalu-india"]},
|
||||
{"id":"india-mn","iso":"IN-MN","kind":"state","name":"Manipur","shapeName":"Manipur","bbox":[92.971,23.833,94.745,25.692],"count":5,"slugs":["koiren","lois","pangans","thanga","yatibi"]},
|
||||
{"id":"india-mp","iso":"IN-MP","kind":"state","name":"Madhya Pradesh","shapeName":"Madhya Pradesh","bbox":[74.03,21.07,82.81,26.869],"count":33,"slugs":["anjana","banchada","baraua","bari-hindi","basudeva","berar","bhanumati","bhurtia","dhed","gachha","hajjam-hindi","jadam","jains-hindi","kachera-bagheli","kandera","kasar-hindi","ladia","lahangir","manbhav","mankar","muskhan","muslim-gond","naita","namdeo","naoda","nat-bagheli","nema","rujjhar","sais","sikligar","sisgars","soria","zamral"]},
|
||||
{"id":"india-mz","iso":"IN-MZ","kind":"state","name":"Mizoram","shapeName":"Mizoram","bbox":[92.257,21.941,93.436,24.521],"count":0,"slugs":[]},
|
||||
{"id":"india-nl","iso":"IN-NL","kind":"state","name":"Nagaland","shapeName":"Nāgāland","bbox":[93.327,25.199,95.242,27.036],"count":0,"slugs":[]},
|
||||
{"id":"india-or","iso":"IN-OR","kind":"state","name":"Odisha","shapeName":"Odisha","bbox":[81.388,17.813,87.486,22.568],"count":64,"slugs":["baha-i","bairagi-odia","bangti","banka","bari-odia","bauti","bavuri","bhoi-odia","bondo","brahman-jyoti","candhai-maru","chatarkheya","cherua","citrakar","daitapati","damla","darji-odia","dhera","didayi","eneti-dora","ghantarghada","ghogia","ghusuria","godra","guna","irika","janughanta","jogi-odia","kachchi-alia","kamila","kapasiya","kasar-odia","khadura","khandwal","khati-odia","kobari","koraga","kuda","kuli","kurunga","kusta","liari","maghia","mahuria","malia","markande-kanjia","mundapotta","nai-odia","naksia","noliya","oriya","panka-odia","parenga","radhi","rana","sabakhia","samasi","sanei","sayyid-odia","sinduria","suda","thanapati","tharua","tula-vina"]},
|
||||
{"id":"india-pb","iso":"IN-PB","kind":"state","name":"Punjab","shapeName":"Punjab","bbox":[73.88,29.542,76.939,32.513],"count":4,"slugs":["daoli","gagra","pinjara-punjabi","racband"]},
|
||||
{"id":"india-py","iso":"IN-PY","kind":"union_territory","name":"Puducherry","shapeName":"Puducherry","bbox":[75.527,10.827,82.344,16.761],"count":5,"slugs":["indo-french","indo-vietnamese","sonavar","vettalaikarans","vettiyan"]},
|
||||
{"id":"india-rj","iso":"IN-RJ","kind":"state","name":"Rajasthan","shapeName":"Rājasthān","bbox":[69.484,23.061,78.272,30.198],"count":48,"slugs":["badi-marwari","baret","bargi","bhopa","bhutta","cejara","chadwa","chheepi","chobdar","chungar","cudigar","dadupanthi","damami","dhola","ghihara","gosain-rajasthani","gurru","hiranbaj","khadim","kharol","kriyagar","laskari","mangnyar-muslims","moghol-marwari","mogia","murhid","nagda","nai-mewari","nyaria","pajabgar","pakhimara","rajkumhar","rajpurohit","rath","runwalas","sain","sanchia","santia","saraogi","shikari","singiwala","sorgars","sunga","tak","usta","van-baoriya","ved","vijabargiya"]},
|
||||
{"id":"india-sk","iso":"IN-SK","kind":"state","name":"Sikkim","shapeName":"Sikkim","bbox":[88.014,27.079,88.92,28.129],"count":1,"slugs":["yakha"]},
|
||||
{"id":"india-tg","iso":"IN-TG","kind":"state","name":"Telangana","shapeName":"Telangāna","bbox":[77.236,15.836,81.323,19.916],"count":26,"slugs":["are-kapu","attagara","bhatrajulu","bindla","bolla","cippollu","gangireddula","gosangi","gurika","jains-telugu","kachi","katipamula","khatik-telugu","lakkamari-kapu","mala-masti","matangi","mitha-ayyalavar","moghal-telugu","muchi-chamar","pambala","pariki-muggula","patkars","rajannalu","saradagallu","sindhollu","verra-musti"]},
|
||||
{"id":"india-tn","iso":"IN-TN","kind":"state","name":"Tamil Nadu","shapeName":"Tamil Nādu","bbox":[76.233,8.077,80.347,13.565],"count":64,"slugs":["alavan","ansari-momin-tamil","anuppan","aranadan","baig","bondili","cekkala","chamar-muchi-tamil","chayakkaran","dasa-palanjika","dayare","dhobi-tamil","gangawar","gudugudupandi","gurukkal","jains-tamil","jati-pillai","kambalattan","kambar","kannada-naicker","kannada-saineegar","karaiyar","karlar","karna-sale","katesar","kattiakaran","kayalar","kepmari","koliyan","kongu-vaisnawa","kongu-vellala-gounder","kota","krishnavaka","kudumi","kuluvan","kummara-kummari","kunnuva-vellalar","malai-vellala","maleyan","maniyattikkaran","mudugar","nakkala","namdeo-maratha","nanjil-mudali","pannadi","panniandi","parkavakulam","parvatarajakulam","pattanavan","perumkollar","salivahanam","savalakkarar","sayyid-tamil","semman","senaithalaivar","siviar","tambiran","tholuva-naicker","thoraiyar","tondman","uppillian","urikkar-naicker","vellaiyan-kuppam-padaiyaci","vettaikkaran"]},
|
||||
{"id":"india-tr","iso":"IN-TR","kind":"state","name":"Tripura","shapeName":"Tripura","bbox":[91.15,22.939,92.332,24.528],"count":11,"slugs":["bajandar","banik-bania","barua","haluadas","kanda","mahisyadas","malakar","sabar","saha","shabdakar","tripuri-namasudra"]},
|
||||
{"id":"india-up","iso":"IN-UP","kind":"state","name":"Uttar Pradesh","shapeName":"Uttar Pradesh","bbox":[77.084,23.87,84.635,30.406],"count":23,"slugs":["ahmadiya","arain-kannauji","badhik","badi","balahar","bargala","bargujar","bhuiyar","bisati","charwaha","gadhia","habura","hijra","kankali","khangar-bundeli","mujavir","pankhiya","patari","putliwale","rai-bhat-muslims","rastogi","rave","sheikhzade"]},
|
||||
{"id":"india-ut","iso":"IN-UT","kind":"state","name":"Uttarakhand","shapeName":"Uttarākhand","bbox":[77.573,28.723,81.045,31.456],"count":7,"slugs":["anwal","chaudangsi","jimdar","kuthliya-bora","raji-india","sayyid-garhwali","tagewale"]},
|
||||
{"id":"india-wb","iso":"IN-WB","kind":"state","name":"West Bengal","shapeName":"West Bengal","bbox":[85.82,21.484,89.874,27.221],"count":30,"slugs":["angarok","ansari-momin-bengali","bagti","baida","baisya","bhakta","bhalla","bhujel","byadh","chunari","dhal-kstriya","dhimal","ghazi","hajjam-bengali","jains-bengali","kakmara","kapuria","kasar-bengali","khairwar-bengali","khalifa","khatik-bengali","kurol","mirshikar","paharia","pinjara-dhunia-bengali","siyalgar","sunuwar","sutradhar","tamboli-bengali","tripuri-kumhar"]}
|
||||
]}
|
||||
Loading…
Reference in a new issue