thermograph/backend/migrate.py

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Persistent derived-data cache: SQLite store, ETag revalidation, view bundle, IndexedDB frontend (#21) * 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endpoints split into pure payload builders + HTTP/caching shells; the in-memory 10-minute _CAL_CACHE is retired (superseded by the persistent store).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.
2026-07-11 07:31:28 +00:00
"""Backfill the SQLite derived store from the existing parquet cell caches.
For every cell with a cached archive record, materialize the payloads that are
derivable offline the default 2-year calendar and the latest-day detail plus
its reverse-geocode label, so a server restarted (or freshly deployed) onto an
existing parquet cache serves those views from the database immediately instead
of regrading each cell on first touch.
Idempotent and resumable: cells whose derived rows already match the current
validity token are skipped, so re-running after an interruption (or after new
archive days arrive) only does the missing work. Never fetches weather data
history comes strictly from the parquet cache (cells without one are skipped and
will materialize lazily on first request, as always). Reverse geocoding makes at
most one Nominatim call per unlabeled cell, throttled to ~1/s per the service's
policy. Safe to run alongside a live server: writes go through the same WAL
store the server reads, and readers fall back to recomputing on any miss.
Run via `make migrate`.
"""
import os
import sys
import time
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
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from data import climate
from data import grid
from data import store
from api import payloads
Persistent derived-data cache: SQLite store, ETag revalidation, view bundle, IndexedDB frontend (#21) * 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.
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def migrate() -> int:
if not os.path.isdir(climate.CACHE_DIR):
print("No parquet cache directory yet — nothing to migrate.")
return 0
cells = sorted(
f[: -len(".parquet")]
for f in os.listdir(climate.CACHE_DIR)
if f.endswith(".parquet") and not f.endswith("_rf.parquet")
)
built = current = skipped = 0
for cell_id in cells:
try:
cell = grid.from_id(cell_id)
except ValueError:
print(f" {cell_id}: unrecognized cache filename — skipped")
skipped += 1
continue
history = climate.load_cached_history(cell)
Migrate backend dataframe layer from pandas to polars (#90) * Migrate backend dataframe layer from pandas to polars Replace pandas with polars across the backend, dropping both pandas and its pyarrow parquet engine from the dependency set. numpy stays (the grading percentile math is unchanged). - climate.py: parquet IO, source→frame mappings, cache read/topup on polars. New _normalize_read casts the cached `date` column to pl.Date (older files were written by pandas as datetime64[ns]); frames now unify missing values as null so the grading boundary drops them consistently across sources. - grading.py: keep the numpy percentile core; swap the frame→numpy bridge to .to_numpy()/.drop_nulls(), day-of-year/year to polars dt expressions, and the per-row loop to iter_rows(named=True). - views.py: filter/anti-join/concat replace boolean-mask, isin and pd.concat; scalar dates are stdlib datetime.date; a local _months_before helper replaces DateOffset(months=) for the calendar-range default. - app.py, migrate.py: request-date parsing uses datetime.date, removing pandas from the endpoint and migrate layers entirely. - The date column is pl.Date end to end, eliminating the pandas normalize() calls and comparing cleanly against stdlib dates. Payloads are unchanged: calendar, day, grade and forecast responses are byte-for-byte identical to the pandas implementation on the same cached record. Tests ported to polars fixtures, with added coverage for the combined feels-like fallback, calendar month-offset (month-end/leap), and the concat/dedup "fresher source wins" rule. * Port notify.py to polars after merging dev's account system Merge origin/dev (accounts + notification subscriptions) and carry the pandas→ polars migration into the newly added notify.py, which the merge brought in still using pandas — with pandas removed from requirements this broke its import. - notify.py: _candidate_rows filters/sorts the recent bundle with polars expressions and returns iter_rows dicts; date scalars are datetime.date; history/recent emptiness via is_empty(). - test_notify.py: synthetic history/rows built with polars + datetime.
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if history is None or history.is_empty():
Persistent derived-data cache: SQLite store, ETag revalidation, view bundle, IndexedDB frontend (#21) * 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.
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# Pre-current-schema record; the server refetches it lazily on first
# touch (see climate.NEW_COLS) — nothing to materialize offline.
print(f" {cell_id}: no schema-complete record — skipped")
skipped += 1
continue
token = payloads.history_token(history)
start_ts, end_ts = payloads.cal_span(history, None, None, 24)
cal_key = payloads.calendar_key(start_ts, end_ts, 24)
Migrate backend dataframe layer from pandas to polars (#90) * Migrate backend dataframe layer from pandas to polars Replace pandas with polars across the backend, dropping both pandas and its pyarrow parquet engine from the dependency set. numpy stays (the grading percentile math is unchanged). - climate.py: parquet IO, source→frame mappings, cache read/topup on polars. New _normalize_read casts the cached `date` column to pl.Date (older files were written by pandas as datetime64[ns]); frames now unify missing values as null so the grading boundary drops them consistently across sources. - grading.py: keep the numpy percentile core; swap the frame→numpy bridge to .to_numpy()/.drop_nulls(), day-of-year/year to polars dt expressions, and the per-row loop to iter_rows(named=True). - views.py: filter/anti-join/concat replace boolean-mask, isin and pd.concat; scalar dates are stdlib datetime.date; a local _months_before helper replaces DateOffset(months=) for the calendar-range default. - app.py, migrate.py: request-date parsing uses datetime.date, removing pandas from the endpoint and migrate layers entirely. - The date column is pl.Date end to end, eliminating the pandas normalize() calls and comparing cleanly against stdlib dates. Payloads are unchanged: calendar, day, grade and forecast responses are byte-for-byte identical to the pandas implementation on the same cached record. Tests ported to polars fixtures, with added coverage for the combined feels-like fallback, calendar month-offset (month-end/leap), and the concat/dedup "fresher source wins" rule. * Port notify.py to polars after merging dev's account system Merge origin/dev (accounts + notification subscriptions) and carry the pandas→ polars migration into the newly added notify.py, which the merge brought in still using pandas — with pandas removed from requirements this broke its import. - notify.py: _candidate_rows filters/sorts the recent bundle with polars expressions and returns iter_rows dicts; date scalars are datetime.date; history/recent emptiness via is_empty(). - test_notify.py: synthetic history/rows built with polars + datetime.
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last = history["date"].max()
day_key = payloads.day_key(last)
Persistent derived-data cache: SQLite store, ETag revalidation, view bundle, IndexedDB frontend (#21) * 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.
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have_cal = store.get_payload("calendar", cell_id, cal_key, token) is not None
have_day = store.get_payload("day", cell_id, day_key, token) is not None
if have_cal and have_day:
current += 1
continue
found, place = climate.reverse_geocode_cached(cell["center_lat"], cell["center_lon"])
if not found:
place = climate.reverse_geocode(cell["center_lat"], cell["center_lon"])
time.sleep(1.1) # Nominatim usage policy: at most ~1 request/second
if not have_cal:
store.put_payload("calendar", cell_id, cal_key, token,
payloads.build_calendar(cell, history, start_ts, end_ts, 24, place))
Persistent derived-data cache: SQLite store, ETag revalidation, view bundle, IndexedDB frontend (#21) * 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.
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if not have_day:
store.put_payload("day", cell_id, day_key, token,
payloads.build_day(cell, history, last, place))
Persistent derived-data cache: SQLite store, ETag revalidation, view bundle, IndexedDB frontend (#21) * 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.
2026-07-11 07:31:28 +00:00
built += 1
print(f" {cell_id}: materialized ({place or 'no label'})")
s = store.stats()
print(f"{built} cell(s) materialized, {current} already current, {skipped} skipped"
f" · derived rows: {s['derived']} · revgeo: {s['revgeo']}"
f" · db: {s['bytes'] / 1e6:.1f} MB → {s['db_path']}")
return 0
if __name__ == "__main__":
sys.exit(migrate())