267 lines
12 KiB
TypeScript
267 lines
12 KiB
TypeScript
'use client';
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import { useState } from 'react';
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import {
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analyzeMlEdge,
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type MlEdgeRequestPayload,
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type MlEdgeResponse,
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type MlTrainRequestPayload,
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type MlTrainResponse,
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type MlTrainingRow,
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trainMlModel,
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} from '@/lib/analytics-api';
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const defaultTrainingRows: MlTrainingRow[] = [
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{ home_rest_days: 4, away_rest_days: 3, home_travel_distance_km: 520, away_travel_distance_km: 1100, recent_5_xg_home: 1.8, recent_5_xg_away: 1.0, match_result: 'home' },
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{ home_rest_days: 2, away_rest_days: 5, home_travel_distance_km: 220, away_travel_distance_km: 780, recent_5_xg_home: 1.1, recent_5_xg_away: 1.7, match_result: 'away' },
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{ home_rest_days: 6, away_rest_days: 4, home_travel_distance_km: 120, away_travel_distance_km: 960, recent_5_xg_home: 2.3, recent_5_xg_away: 1.8, match_result: 'home' },
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{ home_rest_days: 3, away_rest_days: 3, home_travel_distance_km: 900, away_travel_distance_km: 900, recent_5_xg_home: 1.2, recent_5_xg_away: 1.3, match_result: 'draw' },
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];
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export default function MlEdgePage() {
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const [modelId, setModelId] = useState('default');
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const [matchId, setMatchId] = useState('MATCH-2026-FINALS-07');
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const [homeRest, setHomeRest] = useState(6);
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const [awayRest, setAwayRest] = useState(4);
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const [homeTravel, setHomeTravel] = useState(420);
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const [awayTravel, setAwayTravel] = useState(970);
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const [homeXg, setHomeXg] = useState(2.0);
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const [awayXg, setAwayXg] = useState(1.1);
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const [homeOdds, setHomeOdds] = useState(2.05);
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const [drawOdds, setDrawOdds] = useState(3.35);
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const [awayOdds, setAwayOdds] = useState(3.75);
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const [loading, setLoading] = useState(false);
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const [trainLoading, setTrainLoading] = useState(false);
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const [edgeResult, setEdgeResult] = useState<MlEdgeResponse | null>(null);
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const [trainResult, setTrainResult] = useState<MlTrainResponse | null>(null);
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const [errorMessage, setErrorMessage] = useState('');
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const [trainMessage, setTrainMessage] = useState('');
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async function runEdge() {
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setLoading(true);
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setErrorMessage('');
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try {
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const payload: MlEdgeRequestPayload = {
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model_id: modelId,
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match_id: matchId,
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home_rest_days: homeRest,
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away_rest_days: awayRest,
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home_travel_distance_km: homeTravel,
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away_travel_distance_km: awayTravel,
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recent_5_xg_home: homeXg,
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recent_5_xg_away: awayXg,
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home_implied_odds: homeOdds,
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draw_implied_odds: drawOdds,
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away_implied_odds: awayOdds,
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};
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const data = await analyzeMlEdge(payload);
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setEdgeResult(data);
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setModelId(data.model_id);
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} catch (error) {
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setErrorMessage(error instanceof Error ? error.message : 'ML 邊界分析暫時失敗');
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setEdgeResult(null);
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} finally {
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setLoading(false);
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}
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}
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async function trainModel() {
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setTrainLoading(true);
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setTrainMessage('');
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try {
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const payload: MlTrainRequestPayload = {
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model_id: `model-${Date.now()}`,
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rows: defaultTrainingRows,
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};
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const result = await trainMlModel(payload);
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setTrainResult(result);
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setModelId(result.model_id);
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setTrainMessage(`訓練完成（${result.training_size}筆）`);
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} catch (error) {
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setTrainMessage(error instanceof Error ? error.message : '模型訓練失敗');
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} finally {
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setTrainLoading(false);
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}
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}
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return (
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<div className="space-y-4">
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<h2 className="dot-matrix text-2xl text-[#7d2a15]">機器學習整合模型 量化預測（第 15 階段）</h2>
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<section className="panel-glow rounded-2xl border-dashed p-4">
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<p className="text-sm leading-6 text-[#7a5b46]">
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此頁是模型推論工作台。未接入正式訓練集與即時盤口前，輸出只能作模型壓力測試，不會被標記為首頁投注推薦。
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</p>
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</section>
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<section className="panel-glow rounded-2xl p-4">
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<h3 className="dot-matrix text-lg text-[#7d2a15]">模型驅動參數</h3>
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<div className="mt-3 grid gap-3 md:grid-cols-2 lg:grid-cols-3">
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<label className="text-sm text-[#7a5b46]">
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使用模型 ID
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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value={modelId}
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onChange={(event) => setModelId(event.target.value)}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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比賽編號
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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value={matchId}
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onChange={(event) => setMatchId(event.target.value)}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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主隊休息日（天）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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value={homeRest}
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onChange={(event) => setHomeRest(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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客隊休息日（天）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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value={awayRest}
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onChange={(event) => setAwayRest(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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主隊航段距離（km）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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value={homeTravel}
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onChange={(event) => setHomeTravel(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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客隊航段距離（km）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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value={awayTravel}
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onChange={(event) => setAwayTravel(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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主隊近五場預期進球
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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step={0.1}
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value={homeXg}
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onChange={(event) => setHomeXg(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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客隊近五場預期進球
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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step={0.1}
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value={awayXg}
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onChange={(event) => setAwayXg(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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主勝賠率（賠率）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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step={0.01}
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value={homeOdds}
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onChange={(event) => setHomeOdds(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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和局賠率（賠率）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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step={0.01}
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value={drawOdds}
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onChange={(event) => setDrawOdds(Number(event.target.value))}
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/>
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</label>
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<label className="text-sm text-[#7a5b46]">
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客勝賠率（賠率）
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<input
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className="mt-2 w-full rounded-lg border border-[#e0c6a8] bg-white/70 px-3 py-2"
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type="number"
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step={0.01}
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value={awayOdds}
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onChange={(event) => setAwayOdds(Number(event.target.value))}
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/>
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</label>
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</div>
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<div className="mt-4 flex flex-wrap gap-3">
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<button
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className="rounded-lg bg-[#7d2a15] px-4 py-2 text-white"
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type="button"
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onClick={runEdge}
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disabled={loading}
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>
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{loading ? '分析中…' : '執行 機器學習優勢 推論'}
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</button>
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<button
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className="rounded-lg bg-[#d1432d] px-4 py-2 text-white"
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type="button"
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onClick={trainModel}
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disabled={trainLoading}
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>
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{trainLoading ? '訓練中…' : '快速訓練範例模型'}
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</button>
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</div>
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{errorMessage ? <p className="mt-3 text-xs text-[#8c2f2f]">{errorMessage}</p> : null}
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{trainMessage ? <p className="mt-2 text-xs text-[#6f4f3c]">{trainMessage}</p> : null}
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</section>
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<section className="panel-glow rounded-2xl p-4">
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<h3 className="dot-matrix text-lg text-[#7d2a15]">推論結果</h3>
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{edgeResult ? (
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<div className="mt-3 grid gap-3 md:grid-cols-2">
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<article className="rounded-xl border border-[#e7c89b] bg-white/70 p-4">
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<p className="text-sm text-[#7a5b46]">模型機率</p>
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<p className="mt-1 text-sm text-[#5f4330]">主勝 {edgeResult.model_probs.home.toFixed(2)} / 和局 {edgeResult.model_probs.draw.toFixed(2)} / 客勝 {edgeResult.model_probs.away.toFixed(2)}</p>
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<p className="mt-3 text-xs text-[#6f4f3c]">模型大小：{edgeResult.is_fallback_model ? '規則回退' : '機器學習整合模型'}</p>
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</article>
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<article className="rounded-xl border border-[#e7c89b] bg-white/70 p-4">
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<p className="text-sm text-[#7a5b46]">強烈偏差</p>
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<p className="mt-1 text-2xl font-semibold text-[#b83822]">{edgeResult.strongest_outcome}</p>
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<p className="text-sm text-[#5f4330]">優勢：{edgeResult.strongest_edge_percent.toFixed(2)}%</p>
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<p className="mt-2 text-xs text-[#7a5b46]">是否 強烈候選：{edgeResult.strong_buy ? '是' : '否'}</p>
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</article>
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<article className="rounded-xl border border-[#e7c89b] bg-white/70 p-4 md:col-span-2">
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<p className="text-sm text-[#7a5b46]">各結果 優勢 估計</p>
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<ul className="mt-2 space-y-1 text-sm text-[#5f4330]">
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<li>主勝：{(edgeResult.edges.home.edge * 100).toFixed(2)}% {edgeResult.edges.home.strong_buy ? '（強烈候選）' : ''}</li>
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<li>和局：{(edgeResult.edges.draw.edge * 100).toFixed(2)}% {edgeResult.edges.draw.strong_buy ? '（強烈候選）' : ''}</li>
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<li>客勝：{(edgeResult.edges.away.edge * 100).toFixed(2)}% {edgeResult.edges.away.strong_buy ? '（強烈候選）' : ''}</li>
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</ul>
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</article>
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</div>
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) : (
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<p className="mt-3 text-sm text-[#7a5b46]">尚未提交分析，請先點擊「執行 機器學習優勢 推論」。</p>
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)}
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</section>
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<section className="panel-glow rounded-2xl p-4">
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<h3 className="dot-matrix text-lg text-[#7d2a15]">模型訓練摘要</h3>
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{trainResult ? (
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<p className="mt-2 text-sm text-[#7a5b46]">
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目前模型：{trainResult.model_id} | 樣本數：{trainResult.training_size} | 準確率：
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{trainResult.accuracy === null ? 'N/A' : trainResult.accuracy.toFixed(4)} | 回退：{trainResult.is_fallback ? '是' : '否'}
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</p>
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) : (
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<p className="mt-2 text-sm text-[#7a5b46]">尚未執行訓練。</p>
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)}
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</section>
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</div>
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);
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}
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