feat: 添加 cloudflare_pages、mysql_d1_backup_scheduler，更新 start_system、ensemble_models 及配置文件

cloudflare_pages/functions/api/accuracy/hourly/[date].js

@@ -0,0 +1,67 @@
+function json(data, status = 200) {
+  return new Response(JSON.stringify(data), {
+    status,
+    headers: { "content-type": "application/json; charset=UTF-8" },
+  });
+}
+
+function modelItem(prediction, probability, isCorrect) {
+  if (prediction === null || prediction === undefined) return null;
+  return {
+    prediction: Number(prediction),
+    probability: probability === null || probability === undefined ? null : Number(probability),
+    is_correct: isCorrect === null || isCorrect === undefined ? null : Number(isCorrect) === 1,
+  };
+}
+
+export async function onRequestGet(context) {
+  const db = context.env.DB;
+  if (!db) {
+    return json({ success: false, error: "缺少 D1 绑定 DB" }, 500);
+  }
+
+  try {
+    const date = context.params.date;
+    const sql = `
+      SELECT
+        timestamp,
+        hour,
+        open_price,
+        close_price,
+        actual_result,
+        dlinear_prediction,
+        dlinear_prob,
+        dlinear_correct,
+        nbeats_prediction,
+        nbeats_prob,
+        nbeats_correct,
+        ttm_prediction,
+        ttm_prob,
+        ttm_correct,
+        ensemble_prediction,
+        ensemble_correct
+      FROM backup_hourly_model_predictions
+      WHERE date = ?
+      ORDER BY hour ASC
+    `;
+
+    const result = await db.prepare(sql).bind(date).all();
+    const rows = (result.results || []).map((r) => ({
+      timestamp_cst: r.timestamp,
+      hour: r.hour,
+      open_price: r.open_price === null || r.open_price === undefined ? null : Number(r.open_price),
+      close_price: r.close_price === null || r.close_price === undefined ? null : Number(r.close_price),
+      actual_result: r.actual_result === null || r.actual_result === undefined ? null : Number(r.actual_result),
+      models: {
+        Ensemble: modelItem(r.ensemble_prediction, null, r.ensemble_correct),
+        DLinear: modelItem(r.dlinear_prediction, r.dlinear_prob, r.dlinear_correct),
+        "N-BEATS": modelItem(r.nbeats_prediction, r.nbeats_prob, r.nbeats_correct),
+        "TTM-R2": modelItem(r.ttm_prediction, r.ttm_prob, r.ttm_correct),
+      },
+    }));
+
+    return json({ success: true, date, data: rows });
+  } catch (error) {
+    return json({ success: false, error: String(error) }, 500);
+  }
+}