fix: 研究Tab近1月/6月/1年数据空——list_strategies加切窗口fallback,从最长区间trades按时间窗口切重算summary(无需单独回测)

strategy_lab.py

@@ -2088,6 +2088,41 @@ def list_strategies(period_tag=None):
             ON sr.id = latest.max_id
             ORDER BY sr.version
         """).fetchall()
+
+    # ── 2026-08-12：1m/6m/1y 无独立回测记录时，从最长区间 trades 切时间窗口重算 summary ──
+    # 研究 Tab 期间筛选按 period_tag 查 DB，但 v_weak/v_oversold 只有 2y/5y/10y——
+    # 选近1月/6月/1年时查不到记录显示空。改为从最长区间 trades 切窗口算，无需单独回测。
+    PERIOD_SLICE_DAYS = {'1m': 30, '6m': 185, '1y': 365}
+    sliced_summaries = {}  # version -> (summary, trades_count)
+    if period_tag in PERIOD_SLICE_DAYS:
+        days = PERIOD_SLICE_DAYS[period_tag]
+        have_period = {r['version'] for r in rows}
+        from datetime import datetime as _dt, timedelta as _td
+        for v in list(STRATEGIES.keys()) + [x for x in STRATEGY_DESCRIPTIONS.keys() if x not in STRATEGIES]:
+            if v in have_period:
+                continue  # 已有该 period 记录，不用切
+            row = conn.execute(
+                "SELECT results_json FROM strategy_research WHERE version=? ORDER BY "
+                "CASE COALESCE(period_tag,'2y') WHEN '10y' THEN 3 WHEN '5y' THEN 2 ELSE 1 END DESC, id DESC LIMIT 1",
+                (v,)).fetchone()
+            if not row:
+                continue
+            try:
+                res = json.loads(row[0])
+            except Exception:
+                continue
+            trades = res.get('trades', [])
+            if not trades:
+                continue
+            max_date = max(t.get('entry_date', '') for t in trades)
+            try:
+                cutoff = (_dt.strptime(max_date, '%Y-%m-%d') - _td(days=days)).strftime('%Y-%m-%d')
+            except Exception:
+                continue
+            sliced = [t for t in trades if t.get('entry_date', '') >= cutoff]
+            if not sliced:
+                continue
+            sliced_summaries[v] = (calc_summary(sliced, 1000000), len(sliced), period_tag)
     conn.close()
     out = []
     for r in rows:
@@ -2104,22 +2139,25 @@ def list_strategies(period_tag=None):
     existing = {(d['version'], d['market']) for d in out}
     for v, s in STRATEGIES.items():
         if (v, 'all') not in existing and not any(d['version'] == v for d in out):
+            # 2026-08-12：1m/6m/1y 优先用切窗口算的 summary（无独立记录时），否则空
+            _ss, _tc, _pt = sliced_summaries.get(v, ({}, 0, None))
             out.append({
                 'version': v, 'name': s['name'], 'summary': s['summary'],
                 'hypothesis': s['hypothesis'], 'parent': s.get('parent'),
                 'config_json': json.dumps(s['config'], ensure_ascii=False),
-                'summary_stats': {}, 'insights': [], 'created_at': s.get('created'),
-                'market': 'all',
+                'summary_stats': _ss, 'insights': [], 'created_at': s.get('created'),
+                'market': 'all', 'period_tag': _pt or period_tag, 'trades_count': _tc,
             })
     # 2026-08-11：补充仅在 STRATEGY_DESCRIPTIONS 的策略（如 v_oversold 预测扫描策略，无回测 config）
     for v, s in STRATEGY_DESCRIPTIONS.items():
         if v not in STRATEGIES and not any(d['version'] == v for d in out):
+            _ss, _tc, _pt = sliced_summaries.get(v, ({}, 0, None))
             out.append({
                 'version': v, 'name': s.get('title', v), 'summary': s.get('algorithm', ''),
                 'hypothesis': s.get('rationale', ''), 'parent': None,
                 'config_json': '{}',
-                'summary_stats': {}, 'insights': [], 'created_at': None,
-                'market': 'all',
+                'summary_stats': _ss, 'insights': [], 'created_at': None,
+                'market': 'all', 'period_tag': _pt or period_tag, 'trades_count': _tc,
             })
     out.sort(key=lambda x: (x['version'], x.get('market', 'all')))
     # 2026-08-11：标记当前实盘/新策略（研究 Tab 拆分当前/历史区域）