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thermograph/cities.json
Emi Griffith 58ac3120b2 SEO: crawlable programmatic climate pages + technical hygiene (#96) 
* SEO: generate curated city set for crawlable climate pages

gen_cities.py reuses the GeoNames index places.py already parses to select the top
~500 metros by population, assigns each a stable URL-safe slug (dropping admin1 when
it repeats the city name), and writes committed backend/cities.json. cities.py loads
it lazily with slug lookup, all_slugs(), display_name(), and by_country() grouping
for the upcoming hub + sitemap.

* SEO: rendering core, robots.txt, sitemap.xml, and metadata hygiene

- content.py: Jinja2 environment + HTML responder (ETag/304), dynamic /robots.txt
  (disallows /api and /alerts, points at the sitemap) and /sitemap.xml (enumerates
  the home/static pages plus every city, month, and records URL from cities.py).
  Registered on the app before the StaticFiles mount so the routes win.
- templates/base.html.j2: shared layout with unique title/description, self-
  referential canonical, Open Graph, favicon/manifest, header nav (adds a Climate
  link) and a footer link graph.
- Give each existing page a unique <meta description> (were 5x identical) and a
  self-referential <link rel=canonical>; add WebApplication JSON-LD to the home page.
- Pin jinja2.

* SEO: server-rendered per-city climate page (/climate/{slug})

The keystone crawlable page: for a city it snaps to the grid cell, loads the
archive (fetching once if missing, self-healing), and renders as real HTML — a
'how today compares' block (grade + percentile per metric from grade_day, tinted
by tier), a monthly normals table (climatology at each month's 15th, shown in °F
and °C), all-time records (new grading.all_time_records helper), a breadcrumb,
Dataset+Place+BreadcrumbList JSON-LD, self-referential canonical, and links into
the interactive tool + month/records pages. Content-page CSS added to style.css
(renamed the table class to avoid colliding with the app's .normals flex row).

* SEO: month (/climate/{slug}/{month}) and records (/climate/{slug}/records) pages

Month pages render the exact-month long-tail ('average weather in {city} in
{month}') with that month's average high/low, typical p10-p90 range, month-specific
records, and prev/next month links. Records pages show all-time record highs/lows
per metric with dates (grading.all_time_records). Shared _resolve_city helper; the
literal /records route is registered before the {month} param and month names are
validated (unknown month -> 404).

* SEO: climate hub, weather glossary, and about/methodology pages

- /climate: crawlable directory of all ~500 cities grouped by country — the
  internal-link graph that lets search engines discover every city page.
- /glossary + /glossary/{term}: plain-language definitions (climate normal,
  percentile, temperature anomaly, feels-like, heat index, wind chill, humidity,
  reanalysis) with DefinedTerm JSON-LD and cross-links into the tool.
- /about: methodology page (ERA5 data source, 45-year baseline, +/-7-day window,
  percentile grading) for E-E-A-T. All linked from the shared footer.

* SEO: archive warmer, content-page tests, and deploy docs

- warm_cities.py: paced, idempotent offline warmer that pre-fetches each city
  cell's archive so /climate pages serve from cache and a crawl can't burst the
  archive quota (pages self-heal if hit before warming).
- tests/test_content.py: city-set slug uniqueness/lookup, robots.txt, sitemap
  enumerating city/month/records URLs, and that a rendered city page carries the
  stats + canonical + Dataset JSON-LD in the HTML; plus month/records/hub/glossary/
  about routing and 404s.
- DEPLOY.md: document the content pages, the warm step, and submitting the sitemap.
2026-07-15 23:53:11 +00:00

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[
{
"slug":"shanghai-cn",
"name":"Shanghai",
"admin1":"Shanghai",
"country":"China",
"country_code":"CN",
"lat":31.22222,
"lon":121.45806,
"population":24874500
},
{
"slug":"beijing-cn",
"name":"Beijing",
"admin1":"Beijing",
"country":"China",
"country_code":"CN",
"lat":39.9075,
"lon":116.39723,
"population":18960744
},
{
"slug":"shenzhen-guangdong-cn",
"name":"Shenzhen",
"admin1":"Guangdong",
"country":"China",
"country_code":"CN",
"lat":22.54554,
"lon":114.0683,
"population":17494398
},
{
"slug":"guangzhou-guangdong-cn",
"name":"Guangzhou",
"admin1":"Guangdong",
"country":"China",
"country_code":"CN",
"lat":23.11667,
"lon":113.25,
"population":16096724
},
{
"slug":"kinshasa-cd",
"name":"Kinshasa",
"admin1":"Kinshasa",
"country":"Democratic Republic of the Congo",
"country_code":"CD",
"lat":-4.32758,
"lon":15.31357,
"population":16000000
},
{
"slug":"istanbul-tr",
"name":"Istanbul",
"admin1":"Istanbul",
"country":"Turkey",
"country_code":"TR",
"lat":41.01384,
"lon":28.94966,
"population":15701602
},
{
"slug":"lagos-ng",
"name":"Lagos",
"admin1":"Lagos",
"country":"Nigeria",
"country_code":"NG",
"lat":6.45407,
"lon":3.39467,
"population":15388000
},
{
"slug":"ho-chi-minh-city-ho-chi-minh-city-hcmc-vn",
"name":"Ho Chi Minh City",
"admin1":"Ho Chi Minh City (HCMC)",
"country":"Vietnam",
"country_code":"VN",
"lat":10.82302,
"lon":106.62965,
"population":14002598
},
{
"slug":"chengdu-sichuan-cn",
"name":"Chengdu",
"admin1":"Sichuan",
"country":"China",
"country_code":"CN",
"lat":30.66667,
"lon":104.06667,
"population":13568357
},
{
"slug":"lahore-punjab-pk",
"name":"Lahore",
"admin1":"Punjab",
"country":"Pakistan",
"country_code":"PK",
"lat":31.558,
"lon":74.35071,
"population":13004135
},
{
"slug":"mumbai-maharashtra-in",
"name":"Mumbai",
"admin1":"Maharashtra",
"country":"India",
"country_code":"IN",
"lat":19.07283,
"lon":72.88261,
"population":12691836
},
{
"slug":"sao-paulo-br",
"name":"São Paulo",
"admin1":"São Paulo",
"country":"Brazil",
"country_code":"BR",
"lat":-23.5475,
"lon":-46.63611,
"population":12400232
},
{
"slug":"mexico-city-mx",
"name":"Mexico City",
"admin1":"Mexico City",
"country":"Mexico",
"country_code":"MX",
"lat":19.42847,
"lon":-99.12766,
"population":12294193
},
{
"slug":"karachi-sindh-pk",
"name":"Karachi",
"admin1":"Sindh",
"country":"Pakistan",
"country_code":"PK",
"lat":24.8608,
"lon":67.0104,
"population":11624219
},
{
"slug":"tianjin-cn",
"name":"Tianjin",
"admin1":"Tianjin",
"country":"China",
"country_code":"CN",
"lat":39.14222,
"lon":117.17667,
"population":11090314
},
{
"slug":"delhi-in",
"name":"Delhi",
"admin1":"Delhi",
"country":"India",
"country_code":"IN",
"lat":28.65195,
"lon":77.23149,
"population":11034555
},
{
"slug":"wuhan-hubei-cn",
"name":"Wuhan",
"admin1":"Hubei",
"country":"China",
"country_code":"CN",
"lat":30.58333,
"lon":114.26667,
"population":10392693
},
{
"slug":"moscow-ru",
"name":"Moscow",
"admin1":"Moscow",
"country":"Russia",
"country_code":"RU",
"lat":55.75204,
"lon":37.61781,
"population":10381222
},
{
"slug":"dhaka-dhaka-division-bd",
"name":"Dhaka",
"admin1":"Dhaka Division",
"country":"Bangladesh",
"country_code":"BD",
"lat":23.7104,
"lon":90.40744,
"population":10356500
},
{
"slug":"seoul-kr",
"name":"Seoul",
"admin1":"Seoul",
"country":"South Korea",
"country_code":"KR",
"lat":37.566,
"lon":126.9784,
"population":10349312
},
{
"slug":"tokyo-jp",
"name":"Tokyo",
"admin1":"Tokyo",
"country":"Japan",
"country_code":"JP",
"lat":35.6895,
"lon":139.69171,
"population":9733276
},
{
"slug":"dongguan-guangdong-cn",
"name":"Dongguan",
"admin1":"Guangdong",
"country":"China",
"country_code":"CN",
"lat":23.01797,
"lon":113.74866,
"population":9644871
},
{
"slug":"cairo-eg",
"name":"Cairo",
"admin1":"Cairo",
"country":"Egypt",
"country_code":"EG",
"lat":30.06263,
"lon":31.24967,
"population":9606916
},
{
"slug":"xian-shaanxi-cn",
"name":"Xi’an",
"admin1":"Shaanxi",
"country":"China",
"country_code":"CN",
"lat":34.25833,
"lon":108.92861,
"population":9600000
},
{
"slug":"johannesburg-gauteng-za",
"name":"Johannesburg",
"admin1":"Gauteng",
"country":"South Africa",
"country_code":"ZA",
"lat":-26.20227,
"lon":28.04363,
"population":9418183
},
{
"slug":"nanjing-jiangsu-cn",
"name":"Nanjing",
"admin1":"Jiangsu",
"country":"China",
"country_code":"CN",
"lat":32.06167,
"lon":118.77778,
"population":9314685
},
{
"slug":"hangzhou-zhejiang-cn",
"name":"Hangzhou",
"admin1":"Zhejiang",
"country":"China",
"country_code":"CN",
"lat":30.29365,
"lon":120.16142,
"population":9236032
},
{
"slug":"foshan-guangdong-cn",
"name":"Foshan",
"admin1":"Guangdong",
"country":"China",
"country_code":"CN",
"lat":23.02677,
"lon":113.13148,
"population":9042509
},
{
"slug":"london-england-gb",
"name":"London",
"admin1":"England",
"country":"United Kingdom",
"country_code":"GB",
"lat":51.50853,
"lon":-0.12574,
"population":8961989
},
{
"slug":"new-york-city-new-york-us",
"name":"New York City",
"admin1":"New York",
"country":"United States",
"country_code":"US",
"lat":40.71427,
"lon":-74.00597,
"population":8804190
},
{
"slug":"jakarta-id",
"name":"Jakarta",
"admin1":"Jakarta",
"country":"Indonesia",
"country_code":"ID",
"lat":-6.21462,
"lon":106.84513,
"population":8540121
},
{
"slug":"bengaluru-karnataka-in",
"name":"Bengaluru",
"admin1":"Karnataka",
"country":"India",
"country_code":"IN",
"lat":12.97194,
"lon":77.59369,
"population":8495492
},
{
"slug":"hanoi-vn",
"name":"Hanoi",
"admin1":"Hanoi",
"country":"Vietnam",
"country_code":"VN",
"lat":21.0245,
"lon":105.84117,
"population":8053663
},
{
"slug":"taipei-taiwan-tw",
"name":"Taipei",
"admin1":"Taiwan",
"country":"Taiwan",
"country_code":"TW",
"lat":25.05306,
"lon":121.52639,
"population":7871900
},
{
"slug":"lima-lima-province-pe",
"name":"Lima",
"admin1":"Lima Province",
"country":"Peru",
"country_code":"PE",
"lat":-12.04318,
"lon":-77.02824,
"population":7737002
},
{
"slug":"bogota-bogota-d-c-co",
"name":"Bogotá",
"admin1":"Bogota D.C.",
"country":"Colombia",
"country_code":"CO",
"lat":4.60971,
"lon":-74.08175,
"population":7674366
},
{
"slug":"chongqing-cn",
"name":"Chongqing",
"admin1":"Chongqing",
"country":"China",
"country_code":"CN",
"lat":29.56026,
"lon":106.55771,
"population":7457599
},
{
"slug":"hong-kong-hk",
"name":"Hong Kong",
"admin1":null,
"country":"Hong Kong",
"country_code":"HK",
"lat":22.27832,
"lon":114.17469,
"population":7396076
},
{
"slug":"baghdad-iq",
"name":"Baghdad",
"admin1":"Baghdad",
"country":"Iraq",
"country_code":"IQ",
"lat":33.34058,
"lon":44.40088,
"population":7216000
},
{
"slug":"wuzhong-ningxia-cn",
"name":"Wuzhong",
"admin1":"Ningxia",
"country":"China",
"country_code":"CN",
"lat":37.9867,
"lon":106.201,
"population":7202654
},
{
"slug":"qingdao-shandong-cn",
"name":"Qingdao",
"admin1":"Shandong",
"country":"China",
"country_code":"CN",
"lat":36.06488,
"lon":120.38042,
"population":7172451
},
{
"slug":"tehran-ir",
"name":"Tehran",
"admin1":"Tehran",
"country":"Iran",
"country_code":"IR",
"lat":35.69439,
"lon":51.42151,
"population":7153309
},
{
"slug":"shenyang-liaoning-cn",
"name":"Shenyang",
"admin1":"Liaoning",
"country":"China",
"country_code":"CN",
"lat":41.79222,
"lon":123.43278,
"population":7050000
},
{
"slug":"hyderabad-telangana-in",
"name":"Hyderabad",
"admin1":"Telangana",
"country":"India",
"country_code":"IN",
"lat":17.38405,
"lon":78.45636,
"population":6993262
},
{
"slug":"rio-de-janeiro-br",
"name":"Rio de Janeiro",
"admin1":"Rio de Janeiro",
"country":"Brazil",
"country_code":"BR",
"lat":-22.90642,
"lon":-43.18223,
"population":6747815
},
{
"slug":"suzhou-jiangsu-cn",
"name":"Suzhou",
"admin1":"Jiangsu",
"country":"China",
"country_code":"CN",
"lat":31.30408,
"lon":120.59538,
"population":6715559
},
{
"slug":"puxi-shanghai-cn",
"name":"Puxi",
"admin1":"Shanghai",
"country":"China",
"country_code":"CN",
"lat":31.24414,
"lon":121.46592,
"population":6683712
},
{
"slug":"ahmedabad-gujarat-in",
"name":"Ahmedabad",
"admin1":"Gujarat",
"country":"India",
"country_code":"IN",
"lat":23.02579,
"lon":72.58727,
"population":6357693
},
{
"slug":"abidjan-abidjan-autonomous-district-ci",
"name":"Abidjan",
"admin1":"Abidjan Autonomous District",
"country":"Ivory Coast",
"country_code":"CI",
"lat":5.35444,
"lon":-4.00167,
"population":6321017
},
{
"slug":"pudong-shanghai-cn",
"name":"Pudong",
"admin1":"Shanghai",
"country":"China",
"country_code":"CN",
"lat":31.23995,
"lon":121.50094,
"population":5681512
},
{
"slug":"sydney-new-south-wales-au",
"name":"Sydney",
"admin1":"New South Wales",
"country":"Australia",
"country_code":"AU",
"lat":-33.86785,
"lon":151.20732,
"population":5638830
},
{
"slug":"singapore-sg",
"name":"Singapore",
"admin1":null,
"country":"Singapore",
"country_code":"SG",
"lat":1.28967,
"lon":103.85007,
"population":5638700
},
{
"slug":"melbourne-victoria-au",
"name":"Melbourne",
"admin1":"Victoria",
"country":"Australia",
"country_code":"AU",
"lat":-37.814,
"lon":144.96332,
"population":5435590
},
{
"slug":"dar-es-salaam-dar-es-salaam-region-tz",
"name":"Dar es Salaam",
"admin1":"Dar es Salaam Region",
"country":"Tanzania",
"country_code":"TZ",
"lat":-6.82349,
"lon":39.26951,
"population":5383728
},
{
"slug":"saint-petersburg-st-petersburg-ru",
"name":"Saint Petersburg",
"admin1":"St.-Petersburg",
"country":"Russia",
"country_code":"RU",
"lat":59.93863,
"lon":30.31413,
"population":5351935
},
{
"slug":"alexandria-eg",
"name":"Alexandria",
"admin1":"Alexandria",
"country":"Egypt",
"country_code":"EG",
"lat":31.20176,
"lon":29.91582,
"population":5263542
},
{
"slug":"harbin-heilongjiang-cn",
"name":"Harbin",
"admin1":"Heilongjiang",
"country":"China",
"country_code":"CN",
"lat":45.75,
"lon":126.65,
"population":5242897
},
{
"slug":"bangkok-th",
"name":"Bangkok",
"admin1":"Bangkok",
"country":"Thailand",
"country_code":"TH",
"lat":13.75398,
"lon":100.50144,
"population":5104476
},
{
"slug":"hefei-anhui-cn",
"name":"Hefei",
"admin1":"Anhui",
"country":"China",
"country_code":"CN",
"lat":31.86389,
"lon":117.28083,
"population":5050000
},
{
"slug":"dalian-liaoning-cn",
"name":"Dalian",
"admin1":"Liaoning",
"country":"China",
"country_code":"CN",
"lat":38.91222,
"lon":121.60222,
"population":4913879
},
{
"slug":"kano-kano-state-ng",
"name":"Kano",
"admin1":"Kano State",
"country":"Nigeria",
"country_code":"NG",
"lat":12.00012,
"lon":8.51672,
"population":4910000
},
{
"slug":"santiago-santiago-metropolitan-cl",
"name":"Santiago",
"admin1":"Santiago Metropolitan",
"country":"Chile",
"country_code":"CL",
"lat":-33.45694,
"lon":-70.64827,
"population":4837295
},
{
"slug":"cape-town-western-cape-za",
"name":"Cape Town",
"admin1":"Western Cape",
"country":"South Africa",
"country_code":"ZA",
"lat":-33.92584,
"lon":18.42322,
"population":4772846
},
{
"slug":"peshawar-khyber-pakhtunkhwa-pk",
"name":"Peshawar",
"admin1":"Khyber Pakhtunkhwa",
"country":"Pakistan",
"country_code":"PK",
"lat":34.008,
"lon":71.57849,
"population":4758762
},
{
"slug":"changchun-jilin-cn",
"name":"Changchun",
"admin1":"Jilin",
"country":"China",
"country_code":"CN",
"lat":43.88,
"lon":125.32278,
"population":4714996
},
{
"slug":"jeddah-mecca-region-sa",
"name":"Jeddah",
"admin1":"Mecca Region",
"country":"Saudi Arabia",
"country_code":"SA",
"lat":21.49012,
"lon":39.18624,
"population":4697000
},
{
"slug":"chennai-tamil-nadu-in",
"name":"Chennai",
"admin1":"Tamil Nadu",
"country":"India",
"country_code":"IN",
"lat":13.08784,
"lon":80.27847,
"population":4681087
},
{
"slug":"kolkata-west-bengal-in",
"name":"Kolkata",
"admin1":"West Bengal",
"country":"India",
"country_code":"IN",
"lat":22.56263,
"lon":88.36304,
"population":4631392
},
{
"slug":"xiamen-fujian-cn",
"name":"Xiamen",
"admin1":"Fujian",
"country":"China",
"country_code":"CN",
"lat":24.47979,
"lon":118.08187,
"population":4617251
},
{
"slug":"surat-gujarat-in",
"name":"Surat",
"admin1":"Gujarat",
"country":"India",
"country_code":"IN",
"lat":21.19594,
"lon":72.83023,
"population":4591246
},
{
"slug":"yangon-mm",
"name":"Yangon",
"admin1":"Yangon",
"country":"Myanmar",
"country_code":"MM",
"lat":16.80528,
"lon":96.15611,
"population":4477638
},
{
"slug":"bao-an-guangdong-cn",
"name":"Bao'an",
"admin1":"Guangdong",
"country":"China",
"country_code":"CN",
"lat":22.55213,
"lon":113.88288,
"population":4476554
},
{
"slug":"kabul-af",
"name":"Kabul",
"admin1":"Kabul",
"country":"Afghanistan",
"country_code":"AF",
"lat":34.52813,
"lon":69.17233,
"population":4434550
},
{
"slug":"nairobi-nairobi-county-ke",
"name":"Nairobi",
"admin1":"Nairobi County",
"country":"Kenya",
"country_code":"KE",
"lat":-1.28333,
"lon":36.81667,
"population":4397073
},
{
"slug":"wuxi-jiangsu-cn",
"name":"Wuxi",
"admin1":"Jiangsu",
"country":"China",
"country_code":"CN",
"lat":31.56887,
"lon":120.28857,
"population":4396835
},
{
"slug":"giza-eg",
"name":"Giza",
"admin1":"Giza",
"country":"Egypt",
"country_code":"EG",
"lat":30.00944,
"lon":31.20861,
"population":4367343
},
{
"slug":"jinan-shandong-cn",
"name":"Jinan",
"admin1":"Shandong",
"country":"China",
"country_code":"CN",
"lat":36.66833,
"lon":116.99722,
"population":4335989
},
{
"slug":"taiyuan-shanxi-cn",
"name":"Taiyuan",
"admin1":"Shanxi",
"country":"China",
"country_code":"CN",
"lat":37.86944,
"lon":112.56028,
"population":4303673
},
{
"slug":"zhengzhou-henan-cn",
"name":"Zhengzhou",
"admin1":"Henan",
"country":"China",
"country_code":"CN",
"lat":34.75778,
"lon":113.64861,
"population":4253913
},
{
"slug":"bamako-ml",
"name":"Bamako",
"admin1":"Bamako",
"country":"Mali",
"country_code":"ML",
"lat":12.60915,
"lon":-7.97522,
"population":4227569
},
{
"slug":"riyadh-riyadh-region-sa",
"name":"Riyadh",
"admin1":"Riyadh Region",
"country":"Saudi Arabia",
"country_code":"SA",
"lat":24.68773,
"lon":46.72185,
"population":4205961
},
{
"slug":"new-taipei-city-taipei-tw",
"name":"New Taipei City",
"admin1":"Taipei",
"country":"Taiwan",
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]
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