Thermograph monorepo: graded-climate API + SSR frontend + infra, domain-specific containerized deploys
c2d9b602dd
Score how far a location's last 6 years have drifted from its full 45-year record. For each metric and percentile category (p10/p25/p50/p75/p90), the recent-years value is placed on the baseline distribution and the gap from the expected percentile is the divergence — unit-free, so metrics compare directly. Scored per meteorological season plus annual, weighted into per-metric and overall scores (temps, humidity and feels-like weighted heaviest). - backend/scoring.py: divergence math, seasonal slicing, precip zero-inflation split (wet-day frequency + amount), tier mapping onto the existing temp scale. - climate.py: derive a wet-bulb column (Stull 2011) at the read boundary, before the humidity column is converted to absolute — via a shared _derive_metrics wrapper at all four read sites. - api/v2/score endpoint + build_score payload, cached on the history token with a scoring-version key. - frontend score page: overall hero, per-metric cards, by-season chips, and a button-revealed summary (sentences + metrics×season table + per-percentile detail). Score nav link across all headers. - Tests for the scoring math, wet-bulb formula, payload shape and route. |
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