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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.
16 lines
676 B
Text
16 lines
676 B
Text
# Seed-only dependencies for seed_era5.py (the one-time ERA5 backfill). NOT installed
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# in the app image or CI — kept out of requirements.txt so the runtime stays lean.
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# Install on the machine that runs the seed: pip install -r requirements-seed.txt
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# Versions intentionally unpinned: the icechunk/xarray/zarr stack moves fast; install
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# the current compatible set on the seed box and verify with `python seed_era5.py --dry-run`.
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-r requirements.txt
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icechunk
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xarray
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zarr
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# The live store compresses with PCodec; without this extra every read fails
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# with "codec not available: 'pcodec'".
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numcodecs[pcodec]
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# gen_era5_lake.py's bucket writer.
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boto3
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numcodecs[pcodec]
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boto3
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