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backend/drift_check.py quantifies the migration's data impact by fetching both live history sources (NASA POWER primary + the Open-Meteo/ERA5 fallback) for a sample of cells and reporting, per variable: mean-absolute-difference / bias / max (raw drift) and grade-band divergence (the share of days whose graded band actually changes). Since Open-Meteo is ERA5, this doubles as a fidelity check for the ERA5 seed. Because grades are percentiles within each source's own distribution, a uniform bias moves MAD but not grades — so the two numbers are read together. Open-Meteo is kept as a dormant fallback (not deleted), so both sources stay fetchable for this comparison. The comparison logic is unit-tested; the per-cell fetch runs on a networked box (python drift_check.py [--limit N] [--days N]). |
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| .. | ||
| accounts | ||
| api | ||
| core | ||
| data | ||
| notifications | ||
| web | ||
| conftest.py | ||
| test_drift_check.py | ||
| test_indexnow.py | ||
| test_seed_era5.py | ||
| test_warm_cities.py | ||