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feat: implement AI city forecast streaming service and documentation

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2569718930@qq.com
2026-04-27 01:38:37 +08:00
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commit e2ad51ee65
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README.md
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@@ -17,7 +17,7 @@ Public docs center: `/docs/intro` on the main site (bilingual product documentat
![PolyWeather Ankara analysis](docs/images/demo_ankara.png)
## Product Status (2026-04-19)
## Product Status (2026-04-27)
- Subscription live: `Pro Monthly 5 USDC`.
- Points redemption live: `500 points = 1 USDC`, max `3 USDC` off.
@@ -29,6 +29,10 @@ Public docs center: `/docs/intro` on the main site (bilingual product documentat
- EMOS/CRPS calibration is wired and trainable, but production should stay on `legacy` or `emos_shadow`; `emos_primary` is only for candidates that pass local offline evaluation and manual rollout.
- Intraday analysis is now positioned as a professional meteorology read: headline, confidence, base/upside/downside paths, next observation point, evidence chain, failure modes, and confirmation rules.
- Intraday modal now blocks stale cached detail during refresh, so users do not briefly trade off old city/date data before full detail arrives.
- City decision cards now include the AI airport read: METAR, DEB, model cluster, and the AI expected-high center are resolved before mapping the result to Polymarket temperature buckets.
- AI airport reads now use in-page memory cache, browser `localStorage`, and backend short-TTL cache; returning from another dashboard tab restores existing stream text or final results before any new request is needed.
- Market bucket matching now uses the full `all_buckets` surface and strict exact / range / or-higher / or-lower direction checks, reducing bad matches to unreasonable tail buckets.
- The card label “model-market difference” means `model probability - market-implied probability`; positive values indicate weather probability above market pricing, while negative values indicate the YES is already priced more fully.
- Calibrated model probability is now the primary probability panel. It shows the active production probability engine; EMOS/LGBM are surfaced only when evaluated or shadowed, while model consensus and market prices remain secondary references.
- Non-Hong Kong airport cities now ingest `TAF` and parse `FM / TEMPO / BECMG / PROB30/40`.
- Temperature chart now overlays `TAF Timing` markers near the expected peak window.
@@ -57,6 +61,7 @@ See: [AGPL-3.0 & Commercial Boundary](docs/OPEN_CORE_POLICY.md)
- Uses DEB (Dynamic Error Balancing) to blend multi-model highs.
- Generates settlement-oriented calibrated probability buckets (`mu` + bucket distribution), with `LGBM` metadata surfaced when the calibrated engine is active.
- Maps weather view to Polymarket quotes for mispricing scan.
- Adds city decision cards that combine AI airport reads, expected-high centers, full market-bucket mapping, and model-market difference in one view.
- Reuses one analysis core across web dashboard and Telegram bot.
- Adds payment audit trails, replay tooling, and incident visibility in ops.
- Adds peak-window-oriented intraday analysis with meteorology headline, path buckets, evidence chain, invalidation rules, and confirmation rules.