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Move climate history to ERA5 served from our own object storage, with a prod-only query service in front: - data/era5lake.py: lake layout (per-point whole-record 1940+ serving files, a tile/year/month hive table, an Iceberg-style manifest) plus grid math and the read client (local dir -> lake service -> bucket). - gen_era5_lake.py: tile-aligned extractor from the Earthmover Icechunk ERA5 archive (one 86-year pull covers all 144 points of a chunk tile; resumable from the manifest; --cities / --tiles / --land). - lake_app.py + THERMOGRAPH_ROLE=lake: the lake service. /history serves a point's parquet off a disk cache (11ms cold / 3ms warm in rehearsal); /query runs SELECT-only SQL on DuckDB over the hive table (79ms pruned aggregate, 88ms full scan of a 4.5M-row tile). httpfs is baked at image build. - climate.py: history chain is now era5-lake -> NASA POWER -> Open-Meteo; the lake slice starts at START_DATE so grading windows are unchanged, and an unconfigured lake costs nothing (beta/LAN unchanged). - stack: lake service (1..2 replicas behind the VIP, own cache volume) plus a second autoscaler instance (autoscale.sh gains TARGET_SERVICE); web/worker get THERMOGRAPH_LAKE_URL. - seed_era5.py: constants corrected against the live store (icechunkV2, single/temporal, valid_time, ECMWF short names, pcodec). Bucket creds (THERMOGRAPH_LAKE_S3_ACCESS_KEY/_SECRET_KEY) go in the prod vault; until they land the lake stays healthy and everything falls through to NASA exactly as before. |
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| .. | ||
| test_climate.py | ||
| test_climate_store.py | ||
| test_era5lake.py | ||
| test_grading.py | ||
| test_grid.py | ||
| test_meteostat.py | ||
| test_places.py | ||
| test_scoring.py | ||
| test_store.py | ||