feat: Add FastAPI web map API for PolyWeather, integrating various weather data sources and analysis.
This commit is contained in:
2569718930@qq.com
-11
@@ -19,8 +19,6 @@ if _root not in sys.path:
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from loguru import logger
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from src.utils.config_loader import load_config
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@@ -45,10 +43,6 @@ app.add_middleware(
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allow_headers=["*"],
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)
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_static = os.path.join(os.path.dirname(__file__), "static")
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os.makedirs(_static, exist_ok=True)
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app.mount("/static", StaticFiles(directory=_static), name="static")
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_config = load_config()
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_weather = WeatherDataCollector(_config)
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@@ -542,11 +536,6 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
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# ──────────────────────────────────────────────────────────
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# Routes
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# ──────────────────────────────────────────────────────────
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@app.get("/")
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async def index():
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return FileResponse(os.path.join(_static, "index.html"))
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@app.get("/api/cities")
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async def list_cities():
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"""Return all supported cities with coordinates and risk level."""
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>PolyWeather — 天气衍生品智能地图</title>
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<meta name="description" content="PolyWeather 天气衍生品智能地图。实时 METAR、MGM、DEB 融合预报与 AI 分析。">
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<!-- Leaflet -->
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<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" />
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<!-- Google Fonts: Inter -->
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&display=swap"
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rel="stylesheet">
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<link rel="stylesheet" href="/static/style.css">
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</head>
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<body>
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<!-- ── Map ── -->
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<div id="map"></div>
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<!-- ── Header Overlay ── -->
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<header id="header">
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<div class="brand">
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<h1>🌡️ PolyWeather</h1>
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<span class="subtitle">天气衍生品智能分析</span>
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</div>
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<button class="info-btn" id="btnShowGuide" title="查看系统技术说明">ℹ️ 技术说明</button>
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<div class="live-badge" id="liveBadge">
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<span class="pulse-dot"></span>
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<span>实时</span>
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</div>
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<button class="refresh-btn" id="refreshAllBtn" title="刷新所有数据">⟳</button>
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</div>
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</header>
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<!-- ── City List Sidebar (left) ── -->
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<nav id="cityList" class="city-list">
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<div class="city-list-header">
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<span>🏙️ 监控城市</span>
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<span class="city-count" id="cityCount">0</span>
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</div>
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<div id="cityListItems" class="city-list-items">
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<!-- Dynamically populated -->
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</div>
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</nav>
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<!-- ── Detail Panel (right) ── -->
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<aside id="panel" class="detail-panel hidden">
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<div class="panel-header">
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<button class="panel-close" id="panelClose">✕</button>
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<div class="panel-title-area">
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<h2 id="panelCityName">—</h2>
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<div class="panel-meta">
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<span id="panelRiskBadge" class="risk-badge">—</span>
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<span id="panelLocalTime" class="local-time">—</span>
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<button class="history-btn" id="btnShowHistory" title="查看历史记录与准确率">📊 历史对账</button>
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</div>
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</div>
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</div>
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<div id="panelContent" class="panel-body">
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<!-- ── Temperature Hero ── -->
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<section class="hero-section">
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<div class="hero-weather" id="heroWeather"></div>
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<div class="hero-temp">
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<span class="hero-value" id="heroTemp">—</span>
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<span class="hero-unit" id="heroUnit">°C</span>
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</div>
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<div class="hero-max-time" id="heroMaxTime"></div>
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<div class="hero-details">
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<div class="hero-item">
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<span class="label">📍 当前实测</span>
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<span class="value" id="heroCurrent">—</span>
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</div>
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<div class="hero-item">
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<span class="label">🎯 WU 结算</span>
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<span class="value highlight" id="heroWU">—</span>
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</div>
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<div class="hero-item">
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<span class="label">🧬 DEB 预测</span>
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<span class="value" id="heroDEB">—</span>
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</div>
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</div>
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<div class="hero-sub" id="heroSub">
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<!-- obs time, cloud, wind -->
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</div>
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</section>
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<!-- ── Trend Sparkline ── -->
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<section class="chart-section">
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<h3>📊 今日温度走势</h3>
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<div class="chart-wrapper">
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<canvas id="tempChart"></canvas>
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</div>
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<div class="chart-legend" id="chartLegend"></div>
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</section>
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<!-- ── Probability Bars ── -->
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<section class="prob-section">
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<h3>🎲 结算概率分布</h3>
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<div id="probBars" class="prob-bars">
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<!-- Dynamically populated -->
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</div>
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</section>
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<!-- ── Multi-Model Comparison ── -->
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<section class="models-section">
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<h3>🔬 多模型预报</h3>
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<div id="modelBars" class="model-bars">
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<!-- Dynamically populated -->
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</div>
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</section>
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<!-- ── Forecast Table ── -->
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<section class="forecast-section">
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<h3>📅 多日预报</h3>
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<div id="forecastTable" class="forecast-table"></div>
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<div class="sun-info" id="sunInfo"></div>
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</section>
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<!-- ── AI Analysis ── -->
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<section class="ai-section">
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<h3>🤖 AI 深度分析</h3>
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<div id="aiAnalysis" class="ai-box">
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<span class="ai-placeholder">点击城市后加载...</span>
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</div>
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</section>
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<!-- ── Risk Profile ── -->
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<section class="risk-section">
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<h3>⚠️ 数据偏差风险</h3>
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<div id="riskInfo" class="risk-info"></div>
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</section>
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</div>
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</aside>
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</div>
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<!-- ── Loading Overlay ── -->
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<div id="loading" class="loading-overlay hidden">
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<div class="loading-spinner"></div>
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<span>正在获取气象数据，请稍候...</span>
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</div>
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<!-- ── Technical Guide Modal ── -->
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<div id="guideModal" class="modal-overlay hidden">
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<div class="modal-content large">
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<div class="modal-header">
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<h2>📚 PolyWeather 系统技术说明</h2>
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<button class="modal-close" id="guideModalClose">✕</button>
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</div>
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<div class="modal-body">
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<div class="guide-grid">
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<div class="guide-card">
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<h3>🧬 DEB 动态融合预测</h3>
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<p><b>Dynamic Ensemble Blending</b> 是系统的核心算法。它不只是简单的平均值，而是根据各个模型（ECMWF, GFS, MGM等）在**过去 30
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天**内的实际表现，动态分配权重。表现越稳的模型，在最终决策中占比越高。</p>
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</div>
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<div class="guide-card">
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<h3>🎲 结算概率引擎 (μ)</h3>
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<p>基于正态分布模型。我们提取所有预报模型的离散度作为**不确定性系数 ($\sigma$)**，结合 DEB 预测值作为**期望值 ($\mu$)**。这能告诉你某个温度区间（如 10°C
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盘口）发生的真实概率，辅助对冲决策。</p>
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</div>
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<div class="guide-card">
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<h3>📍 结算点 (Airport) 逻辑</h3>
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<p>Polymarket 结算是以**机场 METAR
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气象站**为准。在安卡拉等复杂城市，我们同时监控**市中心总站**（潜力热岛）和**机场站**（物理结算点）。当两者温差巨大时，往往预示着随后的补涨跳升机会。</p>
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</div>
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<div class="guide-card">
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<h3>⚠️ 风险偏置档案</h3>
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<p>系统记录了每个城市机场站与市区的距离、海拔差及季度性偏差。例如，首尔仁川机场因靠海，最高温通常比市区偏低；慕尼黑机场因海拔高，夜间降温极快。这些偏置已自动整合进 AI 分析逻辑中。
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</p>
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</div>
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<div class="guide-card">
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<h3>📈 未来日期概率分布</h3>
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<p>当你切换到未来 3-5 天时，系统会基于各模型对该日期的预报分歧度重新计算概率。分歧越大，分布越扁平（风险高）；共识越强，分布越尖锐（机会明朗）。</p>
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</div>
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</div>
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<div class="guide-footer">
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<p>※ 数据来源：NOAA METAR, Turkish MGM, Open-Meteo Ensemble, Meteoblue, NWS.</p>
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</div>
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</div>
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</div>
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</div>
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<!-- ── History Chart Modal ── -->
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<div id="historyModal" class="modal-overlay hidden">
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<div class="modal-content">
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<div class="modal-header">
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<h2>📊 <span id="historyModalTitle">历史准确率</span></h2>
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<button class="modal-close" id="historyModalClose">✕</button>
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</div>
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<div class="modal-body">
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<div class="history-stats" id="historyStats"></div>
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<div class="history-chart-wrapper">
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<canvas id="historyChart"></canvas>
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</div>
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</div>
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</div>
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</div>
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<!-- Leaflet JS -->
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<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js"></script>
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<!-- Leaflet Heatmap Plugin -->
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<script src="https://leaflet.github.io/Leaflet.heat/dist/leaflet-heat.js"></script>
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<!-- Chart.js -->
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4/dist/chart.umd.min.js"></script>
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<script src="/static/app.js"></script>
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</body>
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</html>
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