Thermograph monorepo: graded-climate API + SSR frontend + infra, domain-specific containerized deploys
789dcb03d4
The overall climate-shift score was a weighted roll-up (feels-like and humidity 2x, wind and gusts 0.5x, and so on). Make it an equal average instead: every metric — and, through each metric's own mean over the 10/25/50/75/90 percentiles, every percentile — counts the same. - scoring._overall: plain mean of the present metrics' divergences, mapped to 0-100, replacing the weighted sum. Missing metrics still drop out cleanly. - Drop the now-unused per-metric weights from the METRICS table and the scored entries (nothing rendered them; only the roll-up read them). - views.SCORE_VER s4 -> s5 so cached weighted scores are recomputed. - score.js: the hero note now reads "Every metric counts equally" instead of "Temperature, feels-like and humidity are weighted most". Verified against Seattle: overall mad equals the equal mean of the eight metric mads (7.9), and the entries no longer carry a weight. Claude-Session: https://claude.ai/code/session_013dRZmX9D3JEntfMKWMTWZ8 |
||
|---|---|---|
| accounts | ||
| core | ||
| data | ||
| notifications | ||
| templates | ||
| tests | ||
| web | ||
| app.py | ||
| cities.json | ||
| cities_flavor.json | ||
| gen_cities.py | ||
| gen_flavor.py | ||
| indexnow.py | ||
| migrate.py | ||
| paths.py | ||
| requirements-dev.txt | ||
| requirements.txt | ||
| warm_cities.py | ||