Compare was the only page loading several cells at once, so its concurrent
reverse-geocode calls burst past Nominatim's ~1 req/sec limit, got rate-limited,
and cached a null label — leaving those locations stuck on bare coordinates.
- climate.py: serialize + rate-limit reverse_geocode behind a lock (>=1.1s between
Nominatim calls, re-checking the cache under the lock), so concurrent callers
resolve reliably instead of bursting.
- store.py: shorten the reverse-geocode miss TTL 1 day -> 1 hour so a transient
null retries soon; add a `cache` flag to put_payload.
- app.py: don't persist a calendar payload whose place failed to resolve, so the
coordinates fallback can't stick for the life of the token.
Weekly showed the place name twice (top label beside the Find button AND the
results <h2>). Keep the <h2> (it carries the coords + climatology context) as the
single name display; the top label now only holds the transient coordinates
written on selection and is hidden once the named results render.
Claude-Session: https://claude.ai/code/session_01B3Q2EkHHnTUX2BfhV5q1Zc
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* Compress API responses and revalidate static assets instead of re-downloading
- Add GZipMiddleware (min 1 KB): the 2-year calendar JSON shrinks ~6-8x.
- Serve pages/assets with Cache-Control: no-cache instead of no-store, so
browsers revalidate via the ETag/Last-Modified that FileResponse and
StaticFiles already emit. Unchanged assets now cost an empty 304 rather
than a full transfer on every page navigation, while deploys still show
up immediately.
* Persist derived responses in SQLite so grading is computed once per cell, not per request
New data/thermograph.sqlite (WAL) holds what's derived from the raw parquet
records — finished grade/calendar/day/forecast payloads and reverse-geocode
labels — so the expensive work (notably the 2-year calendar grade_range, ~270ms)
becomes a ~5ms database read that survives restarts and is shared across views.
Raw parquet stays the source of truth; the store is a pure accelerator (every
reader falls back to recomputing on a miss, and deleting the db is a safe reset).
Freshness is token-driven, not clock-driven: each cached payload is validated by
a token encoding what it was computed from (payload schema version, the archive
record's end date, the recent-fetch stamp). The existing freshness drivers are
untouched — get_history still tops up the tail hourly and get_recent_forecast
still refetches hourly — and tokens are derived from what they return, so cached
payloads expire exactly when their inputs change. The same tokens double as weak
ETags: If-None-Match answers with an empty 304 without touching the payload.
- backend/store.py: derived-payload + revgeo tables, thread-local WAL conns,
every helper fail-soft.
- app.py: endpoints split into pure payload builders + HTTP/caching shells; the
in-memory 10-minute _CAL_CACHE is retired (superseded by the persistent store).
- climate.py: revgeo persisted through the store; recent_stamp() and
load_cached_history() (no-network read) helpers.
- backend/migrate.py + make migrate: idempotent, resumable backfill of the store
from existing parquet caches (default calendar span + latest-day detail +
revgeo, ≤1 throttled Nominatim call per unlabeled cell). Never fetches weather.
- grid.from_id(): rebuild a cell from its cache filename (migrate tooling).
* Add /api/v2/cell: one bundle carrying every view's payload
GET /api/v2/cell?lat&lon returns the grade, forecast, calendar (last 24 months)
and day (today) payloads in one response, each the exact payload its per-view
endpoint returns — built by the same builders and cached under the same
derived-store keys/tokens — paired with the etag that endpoint would emit. The
frontend can warm all views with a single request, seed its per-view cache from
the slices, and later revalidate each view individually with If-None-Match. The
bundle's own etag combines the slices', so an unchanged bundle is an empty 304.
prefetch=1 is a warm-only mode for neighbor-cell prefetching with a hard
guarantee: it never spends weather-API quota. A cell with no cached archive
answers 204, and only the history-derived slices (calendar + latest-day detail)
are built. At most one Nominatim lookup for a never-labeled cell.
* Frontend: IndexedDB response cache with stale-while-revalidate + bundle prefetch
The per-URL response cache moves from localStorage/sessionStorage (~5 MB quota,
which multi-year calendar payloads regularly blew through) to IndexedDB, with an
in-memory map in front. Entries carry the server's ETag, so anything stale
revalidates conditionally — unchanged data costs an empty 304 and a re-stamp,
never a re-transfer. On network failure the stale copy is served over an error.
getJSON gains an optional onUpdate callback opting into stale-while-revalidate:
the three views (weekly, day, calendar) now render a cached copy immediately —
spinners are delayed 150ms so warm loads never flash-blank — and repaint only if
background revalidation finds changed data. New data shows up the moment it
exists instead of waiting out a TTL.
Cross-view prefetch collapses from one request per view to a single /api/v2/cell
bundle, whose slices (exact per-view payloads + their etags) are seeded under the
URLs each view actually requests; the bundle call itself is conditional via a
remembered etag. Afterwards the 8 surrounding grid cells are warmed server-side
with prefetch=1 (never spends weather-API quota; staggered ≥1.1s for the one
possible Nominatim lookup each), so tapping nearby lands on already-graded data.
Legacy tg:* storage entries are cleared once; cache entries untouched for two
weeks are pruned on page load.
Reverse-geocode at zoom 14 and prefer neighbourhood/suburb ahead of the
city so labels read 'Gowanus, New York' when OSM has that detail, falling
back to the city (and county) when it doesn't.
Replace the recurring '±7-day window' phrasing in the UI with plain
language ('a typical day', 'days around this date', 'typical climate').
- Drop the app-level "/" redirect so the FastAPI app no longer claims the
domain root; it stays scoped to THERMOGRAPH_BASE (/thermograph). Root now
404s at the app, leaving it for another service behind the proxy.
- Caddyfile: serve a static portfolio at / and reverse-proxy /thermograph* to
uvicorn, on emigriffith.dev with automatic Let's Encrypt TLS.
- Default THERMOGRAPH_BASE to /thermograph in the env example to match. (#11)
* Add dev CI/CD pipeline deploying to a LAN server (#6)
* Weekly page: no-rain visuals adopt the dry-streak look
On the Weekly page, no-rain (0") days now warm with the dry-streak ramp
(tan→red, deepening to a 14-day cap) instead of a flat blue/tan, matching
the Dry chart and calendar's dry-period language:
- Precip trend chart: no-rain day dots colored by drynessColor(dsr).
- "Daily, graded" timeline strip: Rain-row dry cells tinted by dsr via a
new optional color override on rdCell.
Rain days keep their intensity-tier colors; unknown streaks fall back to
the prior flat color, so nothing regresses.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019VP23wKmjS2ozk1g5a9g1Z
* Calendar totals: compact per-category status lines
Replace the stacked share bar + labeled percentage chips above the
calendar grid with a compact deviation strip: one thin status-colored
line per category (height scaled to the tallest non-median category),
with each share printed above it in that category's own status color.
The median tier — the neutral "Normal" center of the diverging
temperature scale — draws no line, just a faint baseline tick, so it
reads as the reference the other categories deviate from. Precip and
dry-streak have no natural median, so every category there keeps a line.
Percentage text is lifted toward the theme text color (color-mix) so
even the darkest/lightest tiers stay legible in both light and dark.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Calendar totals strip: wider bars, 0.1%-precision small shares (#5)
Widen the per-category deviation bars (3px→10px) so each reads
clearly, and print sub-1% shares as e.g. "0.4%" instead of "<1%".
Claude-Session: https://claude.ai/code/session_019VP23wKmjS2ozk1g5a9g1Z
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* Weekly timeline: label dry streak instead of a dot
On the precip row of the recent/forecast timeline, dry days now show the
running dry-streak count ("3d" = 3 days since measurable rain), tinted by
the same dryness ramp as the chart, rather than a bare "·".
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Add dev CI/CD pipeline deploying to a LAN server
PRs into dev run a build + boot/health check, auto-merge on green, and
deploy the merged branch to a self-hosted runner on the LAN box, which
runs the app as a sudo-free systemd --user service on 0.0.0.0:8137.
- ci-cd.yml: build -> auto-merge -> deploy (self-hosted)
- deploy-dev.yml: deploy on direct pushes / manual dispatch
- deploy-dev.sh + thermograph-dev.service + provision-dev-lan.sh
- CLAUDE.md: dev is the PR base branch; commit/PR message conventions
- DEPLOY-DEV.md: pipeline docs
* Match runner service name in docs to the installed user unit
* Pin CI Python to 3.12 for prebuilt pyarrow/pandas wheels
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* Build LAN dev venv on pinned Python 3.12 via uv (#7)
This machine's default python3 is 3.14, which has no prebuilt pyarrow/pandas
wheels, so plain venv + pip fell back to a failing source build. Use uv to pin
the interpreter (fetching a managed CPython 3.12 if needed), independent of the
runner's PATH and pyenv state.
* Add comfort-temperature compare view; simplify Feels calendar filter (#9)
Compare page (frontend/compare.{html,js} + /thermograph/compare route):
line up several places over a date range and rank which best matches a
comfort temperature. Per location it pulls the same daily record the
Calendar uses and, per day, takes a chosen temperature (daytime high /
daily mean / overnight low / feels-like) against the comfort target. A
day "hits comfort" when it lands within an adjustable band; otherwise it
counts as colder or warmer and the average miss is tracked. Results are
ranked by comfort-day share (tie-broken by the smaller typical miss),
with a diverging below/comfort/above bar and per-bucket stats. Comfort,
band and judged temperature re-rank instantly client-side; only the
location set or date range trigger a data load (shared calendar cache).
Feels calendar filter: drop the comfort-temperature slider and the
client-side felt-high/felt-low re-pick. The Feels metric now colors by
the server's combined feels-like value like the other metrics, so its
tab matches the rest of the metric selector.
* Scope app to /thermograph, free the domain root for a portfolio (#10)
- Drop the app-level "/" redirect so the FastAPI app no longer claims the
domain root; it stays scoped to THERMOGRAPH_BASE (/thermograph). Root now
404s at the app, leaving it for another service behind the proxy.
- Caddyfile: serve a static portfolio at / and reverse-proxy /thermograph* to
uvicorn, on emigriffith.dev with automatic Let's Encrypt TLS.
- Default THERMOGRAPH_BASE to /thermograph in the env example to match.
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
- Drop the app-level "/" redirect so the FastAPI app no longer claims the
domain root; it stays scoped to THERMOGRAPH_BASE (/thermograph). Root now
404s at the app, leaving it for another service behind the proxy.
- Caddyfile: serve a static portfolio at / and reverse-proxy /thermograph* to
uvicorn, on emigriffith.dev with automatic Let's Encrypt TLS.
- Default THERMOGRAPH_BASE to /thermograph in the env example to match.
Compare page (frontend/compare.{html,js} + /thermograph/compare route):
line up several places over a date range and rank which best matches a
comfort temperature. Per location it pulls the same daily record the
Calendar uses and, per day, takes a chosen temperature (daytime high /
daily mean / overnight low / feels-like) against the comfort target. A
day "hits comfort" when it lands within an adjustable band; otherwise it
counts as colder or warmer and the average miss is tracked. Results are
ranked by comfort-day share (tie-broken by the smaller typical miss),
with a diverging below/comfort/above bar and per-bucket stats. Comfort,
band and judged temperature re-rank instantly client-side; only the
location set or date range trigger a data load (shared calendar cache).
Feels calendar filter: drop the comfort-temperature slider and the
client-side felt-high/felt-low re-pick. The Feels metric now colors by
the server's combined feels-like value like the other metrics, so its
tab matches the rest of the metric selector.
