thermograph/warm_cities.py

60 lines
2.4 KiB
Python
Raw Normal View History

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
"""Pre-warm the archives for the curated city set (backend/cities.json) so the
crawlable /climate pages render from cache and a search-engine crawl never bursts
the archive API quota. Run at/after deploy:
python warm_cities.py [--limit N] [--pace SECONDS]
Idempotent: a cell whose archive is already cached is skipped. Fetches are paced
(default 2s) to stay well under the archive API's rate limit. A cell that still
has no cached archive when its page is first requested self-heals via get_history,
so this is an optimization, not a hard dependency.
"""
import sys
import time
from api import homepage
Split the backend into domain packages (#217) * Centralize filesystem paths in a single module Add paths.py, which resolves the repo root once and derives the cache, accounts DB, logs, templates, frontend and bundled-city-data locations from it. Replace the 13 per-module `dirname(__file__)/..` anchors with references to it, so a module's location no longer determines where the app reads its data. Env overrides (accounts DB, VAPID, IndexNow) are unchanged; every resolved path is byte-identical to before. Groundwork for moving modules into packages without re-pointing paths. Claude-Session: https://claude.ai/code/session_01XXxmNFy9cZ6Gh8Y9thZn62 * Split the backend into domain packages Group the flat backend modules into packages that mirror their concerns: data/ climate, grading, scoring, grid, places, cities, city_events, store web/ app, views, homepage, content, schemas notifications/ notify, digest, push, mailer, discord, discord_interactions, discord_link accounts/ models, users, api_accounts, db core/ metrics, singleton, audit Intra-project imports are rewritten to the package-qualified form. The entry scripts (indexnow, warm_cities, migrate, gen_cities, gen_flavor) and paths.py stay at the backend/ root, and backend/app.py becomes a shim re-exporting web.app:app so the launch target stays `app:app` — run.sh, the systemd units, and CI need no change. Verified: full suite (318) passes, `uvicorn app:app` boots and serves the home/SEO/static/API surfaces, and every root script imports clean. Claude-Session: https://claude.ai/code/session_01XXxmNFy9cZ6Gh8Y9thZn62
2026-07-20 05:31:03 +00:00
from data import cities
from data import climate
from data import grid
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
def main(limit: int | None = None, pace: float = 2.0) -> None:
todo = cities.all_cities()
if limit:
todo = todo[:limit]
fetched = skipped = failed = 0
for i, c in enumerate(todo, 1):
cell = grid.snap(c["lat"], c["lon"])
cached = climate.load_cached_history(cell)
if cached is not None and not cached.is_empty():
skipped += 1
continue
try:
climate.get_history(cell) # fetch + cache the ~45-yr archive
climate.get_recent_forecast(cell) # + the recent/forecast bundle (today block)
fetched += 1
print(f"[{i}/{len(todo)}] warmed {c['slug']} ({cell['id']})")
time.sleep(pace)
except Exception as e: # noqa: BLE001 - keep going; the page self-heals later
failed += 1
print(f"[{i}/{len(todo)}] FAILED {c['slug']}: {e}")
time.sleep(pace)
print(f"done: fetched={fetched} skipped(cached)={skipped} failed={failed}")
Rebuild the homepage as a distribution landing; add an SMTP seam (#178) The homepage was a bare tool: a find-bar and an empty panel reading "Find a location to begin." A visitor arriving from a search result or a shared link learned nothing about what the product does before deciding to leave. Rebuild it around the Weekly view, which is untouched: - Hero with the question as the h1, and a grade card showing a real graded example — the most unusual city we're currently tracking, either tail. The card's frame and text slots are server-rendered with reserved heights, so app.js re-pointing it at the visitor's own place shifts nothing. - "Unusual right now" strip, CSS scroll-snap, no JS carousel. A cold-tail city is force-included whenever one qualifies. - Stance line, how-it-works, explore cards, and 12 city chips linking into the ~1000-page /climate surface. - Monthly digest form, in the footer of every page. Serve / from Jinja instead of a static file with placeholder substitution, so crawlers and no-JS readers get the whole page as real HTML. home.html.j2 extends base.html.j2 and carries app.js's DOM contract over verbatim; the brand degrades to a <p> so the hero owns the sole h1. frontend/index.html is deleted rather than left behind the static mount, where it would keep serving indexable duplicate content. "Where is it most unusual right now" has no cheap answer at request time — percentiles live inside zlib-compressed payload blobs with no column to sort on. So homepage.py sweeps the warm cache and writes data/homepage.json, read by the template. The sweep is strictly cache-only (climate.load_cached_recent_forecast is new, the sibling of load_cached_history), so grading ~1000 cities costs zero upstream requests. It rides the notifier's timer behind an hourly guard rather than starting a second daemon, and also runs at the tail of warm_cities so a fresh deploy has a populated feed. Instrumentation: metrics gains a product-event counter keyed by (event, referrer domain, UTC day), behind an allowlist and a per-IP rate limit, fed by POST /api/v2/event. The referrer is taken from the request's own header, never from the client. The beacon gets its own inbound category that record_inbound ignores, so reporting an interaction doesn't also count as traffic. The dashboard grows an events block with per-referrer attribution. Email is scaffolded but sends nothing yet. mailer.py talks stdlib smtplib to a local Postfix null client on 127.0.0.1:25 (deploy/provision-mail.sh), so the choice between direct-to-MX and relaying through a provider stays a Postfix config change with no code change. The backend defaults to "console", which logs and sends nothing, so dev and tests exercise the whole signup path safely. Signups land in pending_digest unconfirmed; collecting the list shouldn't wait on delivery. Also adds /privacy, linked from the footer and kept out of the sitemap. The strip's classes are named unusual-* rather than record-*: .record-card is already the SEO records page's, and reusing it leaked layout rules onto /climate/<slug>/records.
2026-07-18 07:39:47 +00:00
# Rebuild the homepage's "unusual right now" feed from whatever is now warm.
# Runs here as well as on the notifier loop so a fresh deploy has a populated
# feed immediately, and so it still refreshes when the notifier is disabled.
try:
feed = homepage.refresh()
print(f"homepage feed: {feed['considered']} cities graded, "
f"{len(feed['ranked'])} ranked")
except Exception as e: # noqa: BLE001 - the homepage renders without the feed
print(f"homepage feed: FAILED {e}")
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
if __name__ == "__main__":
args = sys.argv[1:]
lim = int(args[args.index("--limit") + 1]) if "--limit" in args else None
pc = float(args[args.index("--pace") + 1]) if "--pace" in args else 2.0
main(limit=lim, pace=pc)