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/daily.js

@@ -0,0 +1,101 @@
+function json(data, status = 200) {
+  return new Response(JSON.stringify(data), {
+    status,
+    headers: { "content-type": "application/json; charset=UTF-8" },
+  });
+}
+
+function toInt(v, d) {
+  const n = Number(v);
+  return Number.isFinite(n) && n > 0 ? Math.floor(n) : d;
+}
+
+function ratio(correct, total) {
+  if (!total) return 0;
+  return Math.round((correct / total) * 10000) / 100;
+}
+
+function item(total, correct) {
+  const t = Number(total || 0);
+  const c = Number(correct || 0);
+  return {
+    total: t,
+    correct: c,
+    incorrect: Math.max(0, t - c),
+    accuracy: ratio(c, t),
+  };
+}
+
+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 url = new URL(context.request.url);
+    const month = (url.searchParams.get("month") || new Date().toISOString().slice(0, 7)).trim();
+    const page = toInt(url.searchParams.get("page"), 1);
+    const limit = Math.min(100, toInt(url.searchParams.get("limit"), 10));
+    const offset = (page - 1) * limit;
+
+    const baseWhere = "date LIKE ?";
+    const monthArg = `${month}%`;
+
+    const dataSql = `
+      SELECT
+        date,
+        SUM(CASE WHEN actual_result IS NOT NULL AND ensemble_prediction IS NOT NULL THEN 1 ELSE 0 END) AS ens_total,
+        SUM(CASE WHEN ensemble_correct = 1 THEN 1 ELSE 0 END) AS ens_correct,
+
+        SUM(CASE WHEN actual_result IS NOT NULL AND dlinear_prediction IS NOT NULL THEN 1 ELSE 0 END) AS dl_total,
+        SUM(CASE WHEN dlinear_correct = 1 THEN 1 ELSE 0 END) AS dl_correct,
+
+        SUM(CASE WHEN actual_result IS NOT NULL AND nbeats_prediction IS NOT NULL THEN 1 ELSE 0 END) AS nb_total,
+        SUM(CASE WHEN nbeats_correct = 1 THEN 1 ELSE 0 END) AS nb_correct,
+
+        SUM(CASE WHEN actual_result IS NOT NULL AND ttm_prediction IS NOT NULL THEN 1 ELSE 0 END) AS ttm_total,
+        SUM(CASE WHEN ttm_correct = 1 THEN 1 ELSE 0 END) AS ttm_correct
+      FROM backup_hourly_model_predictions
+      WHERE ${baseWhere}
+      GROUP BY date
+      ORDER BY date DESC
+      LIMIT ? OFFSET ?
+    `;
+
+    const countSql = `
+      SELECT COUNT(*) AS cnt
+      FROM (
+        SELECT date
+        FROM backup_hourly_model_predictions
+        WHERE ${baseWhere}
+        GROUP BY date
+      ) x
+    `;
+
+    const dataResult = await db.prepare(dataSql).bind(monthArg, limit, offset).all();
+    const countResult = await db.prepare(countSql).bind(monthArg).first();
+
+    const rows = (dataResult.results || []).map((r) => ({
+      date: r.date,
+      Ensemble: item(r.ens_total, r.ens_correct),
+      DLinear: item(r.dl_total, r.dl_correct),
+      "N-BEATS": item(r.nb_total, r.nb_correct),
+      "TTM-R2": item(r.ttm_total, r.ttm_correct),
+    }));
+
+    const total = Number(countResult?.cnt || 0);
+    const totalPages = total > 0 ? Math.ceil(total / limit) : 1;
+
+    return json({
+      success: true,
+      data: rows,
+      page,
+      limit,
+      total,
+      total_pages: totalPages,
+    });
+  } catch (error) {
+    return json({ success: false, error: String(error) }, 500);
+  }
+}