58ac3120b2
* 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.
36 lines
2.3 KiB
Django/Jinja
36 lines
2.3 KiB
Django/Jinja
{% extends "base.html.j2" %}
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{% block title %}{{ page_title }}{% endblock %}
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{% block description %}{{ page_description }}{% endblock %}
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{% block canonical_path %}{{ canonical_path }}{% endblock %}
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{% block content %}
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<nav class="breadcrumb" aria-label="Breadcrumb">
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{% for label, href in breadcrumb %}{% if href %}<a href="{{ href }}">{{ label }}</a>{% else %}<span>{{ label }}</span>{% endif %}{% if not loop.last %} <span class="sep">›</span> {% endif %}{% endfor %}
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</nav>
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<article class="climate-page">
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<h1>About Thermograph</h1>
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<p class="lede">Thermograph answers one question for any point on Earth: <b>how unusual is this
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weather?</b> Instead of an absolute temperature, it shows where a day falls in that exact
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location's own climate history.</p>
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<h2>Where the data comes from</h2>
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<p>The ~45-year daily record — high, low, feels-like, humidity, wind, gust and precipitation —
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comes from the <b>ERA5 reanalysis</b> (ECMWF), served via <a href="https://open-meteo.com/" rel="nofollow">Open-Meteo</a>.
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Because reanalysis is a gridded, model-consistent record, Thermograph works even where there's
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no weather station — anywhere on the ~4 sq mi grid.</p>
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<h2>How a day is graded</h2>
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<p>For each metric and date, Thermograph builds a reference distribution from every historical day
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within <b>±7 days of that day-of-year</b> — a 15-day seasonal window across all years. The
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observed value is placed on that distribution as an <a href="{{ base }}/glossary/percentile">empirical
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percentile</a>, then mapped to a grade from “Below Normal” through “High” to “Near Record”.</p>
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<p>Everything is <b>relative to the location</b>: a 60°F day can be “Above Normal” in one place and
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“Below Normal” in another. Precipitation is graded only among days that actually rained, so “Heavy”
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means heavy for a rainy day <i>here</i>. See the <a href="{{ base }}/legend">grade guide</a> for the full scale.</p>
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<h2>Freshness</h2>
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<p>The historical archive updates as new days are added; recent and forecast conditions refresh hourly.
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City climate pages show the latest recorded day graded against the local normal.</p>
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<p><a class="cta" href="{{ base }}/">Open the weather grader →</a></p>
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</article>
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{% endblock %}
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