feat: enhance project documentation with new overview diagrams, commercialization roadmap, and technical debt backlog.
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- 将模型概率与 Polymarket 只读市场数据对齐,输出错价/风险信号。
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- Web 仪表盘与 Telegram 机器人共用同一套核心逻辑。
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## 思维导图
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## 概览图
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```mermaid
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mindmap
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root((PolyWeather Pro))
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"数据层"
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"METAR (Aviation Weather / METAR)"
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"MGM (土耳其 MGM)"
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"安卡拉主站 (17130 Center)"
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"Open-Meteo"
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"weather.gov (美国城市)"
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"Polymarket (P0 只读)"
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"分析层"
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"DEB (动态误差平衡)"
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"概率引擎 (mu + 桶分布)"
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"趋势引擎"
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"城市风险档案"
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"错价雷达"
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"交付层"
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"FastAPI"
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"Next.js 仪表盘"
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"Telegram Bot"
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"预警推送"
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"运维层"
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"Docker Compose (VPS)"
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"Vercel (前端)"
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"缓存 + force_refresh"
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"Speed Insights"
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flowchart TD
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A["PolyWeather Pro"]
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subgraph DL["数据层"]
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DL1["METAR (Aviation Weather / METAR)"]
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DL2["MGM (土耳其 MGM)"]
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DL3["安卡拉主站 (17130 Center)"]
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DL4["Open-Meteo"]
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DL5["weather.gov (美国城市)"]
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DL6["Polymarket (P0 只读)"]
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end
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subgraph AL["分析层"]
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AL1["DEB (动态误差平衡)"]
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AL2["概率引擎 (mu + 桶分布)"]
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AL3["趋势引擎"]
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AL4["城市风险档案"]
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AL5["错价雷达"]
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end
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subgraph DEL["交付层"]
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DEL1["FastAPI"]
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DEL2["Next.js 仪表盘"]
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DEL3["Telegram Bot"]
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DEL4["预警推送"]
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end
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subgraph OL["运维层"]
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OL1["Docker Compose (VPS)"]
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OL2["Vercel (前端)"]
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OL3["缓存 + force_refresh"]
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OL4["Speed Insights"]
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end
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A --> DL
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A --> AL
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A --> DEL
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A --> OL
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```
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## 系统架构
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