Add all-time stats tab with monthly breakdown on instance analytics.

Co-authored-by: Cursor <cursoragent@cursor.com>

crypto_monitor_gate/app.py

@@ -1842,45 +1842,80 @@ def _compute_period_metrics(trades):
     }
 
 
+def _bounds_for_month_key(ym):
+    """ym: YYYY-MM → 该自然月首末日(北京日历)."""
+    y, m = [int(x) for x in str(ym).split("-", 1)]
+    start = f"{y:04d}-{m:02d}-01"
+    if m == 12:
+        end = f"{y:04d}-12-31"
+    else:
+        end = (datetime(y, m + 1, 1) - timedelta(days=1)).date().strftime("%Y-%m-%d")
+    return start, end
+
+
+def _build_monthly_stats_rows(conn, all_tr, seg_key):
+    """按北京交易日所在自然月聚合;新月在前."""
+    by_month = {}
+    for p, t, td in all_tr:
+        if not td or len(str(td)) < 7:
+            continue
+        mk = str(td)[:7]
+        by_month.setdefault(mk, []).append((p, t, td))
+    rows = []
+    for mk in sorted(by_month.keys(), reverse=True):
+        metrics = _compute_period_metrics(by_month[mk])
+        ms, me = _bounds_for_month_key(mk)
+        metrics["opens_count"] = _count_opens_for_segment(conn, ms, me, seg_key)
+        metrics["range_label"] = f"{ms} ~ {me}"
+        metrics["month_key"] = mk
+        rows.append(metrics)
+    return rows
+
+
 def compute_stats_bundle(conn, trading_day, now_dt=None):
-    """日 / 周 / 月 统计:平仓按北京时间交易日(默认 8:00 切日)计入."""
+    """日 / 周 / 月 / 全部 统计:平仓按北京时间交易日(默认 8:00 切日)计入."""
     now_dt = now_dt or app_now()
     pnls = _load_completed_trade_pnls(conn)
     total_opens_all = conn.execute("SELECT COUNT(*) FROM order_monitors").fetchone()[0]
     w_start, w_end = _session_week_bounds(trading_day)
     m_start, m_end = _calendar_month_bounds(now_dt)
 
-    def in_week(tr):
-        return tr[2] and w_start <= tr[2] <= w_end
-
-    def in_month(tr):
-        return tr[2] and m_start <= tr[2] <= m_end
-
     def slice_metrics(seg_key):
         seg_rows = [tr for tr in pnls if _pnl_row_matches_segment(tr[3], seg_key)]
         day_tr = [(p, t, td) for p, t, td, _r in seg_rows if td == trading_day]
         week_tr = [(p, t, td) for p, t, td, _r in seg_rows if t and w_start <= td <= w_end]
         month_tr = [(p, t, td) for p, t, td, _r in seg_rows if t and m_start <= td <= m_end]
+        all_tr = [(p, t, td) for p, t, td, _r in seg_rows if t]
         dm = _compute_period_metrics(day_tr)
         wm = _compute_period_metrics(week_tr)
         mm = _compute_period_metrics(month_tr)
+        am = _compute_period_metrics(all_tr)
         dm["opens_count"] = _count_opens_for_segment(conn, trading_day, trading_day, seg_key)
         wm["opens_count"] = _count_opens_for_segment(conn, w_start, w_end, seg_key)
         mm["opens_count"] = _count_opens_for_segment(conn, m_start, m_end, seg_key)
+        am["opens_count"] = _count_opens_for_segment(conn, "1970-01-01", "9999-12-31", seg_key)
         dm["range_label"] = f"北京时间交易日 {trading_day}({TRADING_DAY_RESET_HOUR}:00 切日)"
         wm["range_label"] = f"{w_start} ~ {w_end}(北京日期,近7天)"
         mm["range_label"] = f"{m_start} ~ {m_end}(北京自然月)"
-        return dm, wm, mm
+        tds = [td for _, _, td in all_tr if td]
+        if tds:
+            am["range_label"] = f"全部历史 {min(tds)} ~ {max(tds)}(北京交易日)"
+        else:
+            am["range_label"] = "全部历史(暂无平仓)"
+        am["monthly_rows"] = _build_monthly_stats_rows(conn, all_tr, seg_key)
+        return dm, wm, mm, am
 
     segments = []
     seg_defs = effective_stats_segment_defs(
         STATS_SEGMENT_DEFS, POSITION_SIZING_MODE, KEY_AUTO_ORDER_ENABLED
     )
     for seg_key, seg_title, _meta in seg_defs:
-        dm, wm, mm = slice_metrics(seg_key)
-        segments.append({"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm})
+        dm, wm, mm, am = slice_metrics(seg_key)
+        segments.append(
+            {"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm, "all": am}
+        )
 
-    dm, wm, mm = slice_metrics("all")
+    dm, wm, mm, am = slice_metrics("all")
 
     return {
         "trading_day": trading_day,
@@ -1888,6 +1923,7 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
         "day": dm,
         "week": wm,
         "month": mm,
+        "all": am,
         "segments": segments,
         "stats_reset_hour": TRADING_DAY_RESET_HOUR,
     }