feat: show ops-map summaries as detailed period tables

Replace paragraph text with day-hit stats (days/days_hit/pct) so leverage and move charts list each hour with counts.

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

tests/test_aggregate.py

@@ -61,5 +61,29 @@ def test_aggregate_leverage_buckets():
     assert b14["n"] == 2
     assert b14["mean"] == 150
     assert b14["label"] == "14:00"
+    assert b14["days"] == 1
+    assert b14["days_hit"] == 1
+    assert b14["pct_days_hit"] == 1.0
     empty = next(b for b in buckets if b["bucket_start_min"] == 0)
     assert empty["n"] == 0
+    assert empty["days"] == 0
+    assert empty["days_hit"] == 0
+
+
+def test_aggregate_leverage_days_hit():
+    from datetime import datetime
+    from zoneinfo import ZoneInfo
+
+    sh = ZoneInfo("Asia/Shanghai")
+    ts1 = int(datetime(2026, 7, 30, 11, 10, tzinfo=sh).timestamp() * 1000)
+    ts2 = int(datetime(2026, 7, 31, 11, 20, tzinfo=sh).timestamp() * 1000)
+    rows = [
+        {"ts_ms": ts1, "side": "C", "leverage": 120},  # day1 hit
+        {"ts_ms": ts2, "side": "C", "leverage": 80},   # day2 miss
+    ]
+    buckets = aggregate_leverage(rows, bucket_minutes=60, min_leverage=100, side="C")
+    b11 = next(b for b in buckets if b["bucket_start_min"] == 11 * 60)
+    assert b11["days"] == 2
+    assert b11["days_hit"] == 1
+    assert b11["pct_days_hit"] == 0.5
+    assert b11["n"] == 2

tests/test_ops_summary_logic.py

@@ -1,32 +1,54 @@
-"""对齐前端 opsSummary 规则的轻量逻辑测试（Python 镜像）。"""
+"""对齐前端 opsSummary 表规则的轻量逻辑测试。"""
 
 
-MIN_N = 3
-TOP_K = 5
-
-
-def leverage_summary_week(buckets, min_leverage=100):
+def leverage_rows(buckets, min_leverage=100):
     active = [b for b in buckets if b["n"] > 0]
-    ranked = sorted(
-        [b for b in active if b["n"] >= MIN_N and b.get("pct_ge_min") is not None],
-        key=lambda b: (b["pct_ge_min"], b["n"], b.get("mean") or 0),
-        reverse=True,
-    )[:TOP_K]
-    return ranked
 
+    def hit_rate(b):
+        if b.get("pct_days_hit") is not None:
+            return b["pct_days_hit"]
+        return b.get("pct_ge_min")
 
-def test_week_ranks_by_pct_ge_min():
-    buckets = [
-        {"label": "09:00", "n": 10, "mean": 110, "pct_ge_min": 0.5},
-        {"label": "14:00", "n": 10, "mean": 105, "pct_ge_min": 0.8},
-        {"label": "21:00", "n": 2, "mean": 200, "pct_ge_min": 1.0},  # n 不足
+    def days(b):
+        return b["days"] if "days" in b else (1 if b["n"] > 0 else 0)
+
+    def days_hit(b):
+        if "days_hit" in b:
+            return b["days_hit"]
+        return 1 if (b.get("mean") or 0) >= min_leverage and b["n"] > 0 else 0
+
+    rows = [
+        {
+            "label": b["label"],
+            "days": days(b),
+            "days_hit": days_hit(b),
+            "pct": hit_rate(b),
+            "mean": b.get("mean"),
+            "n": b["n"],
+        }
+        for b in active
     ]
-    ranked = leverage_summary_week(buckets)
-    assert [b["label"] for b in ranked] == ["14:00", "09:00"]
+    rows.sort(
+        key=lambda r: (r["pct"] if r["pct"] is not None else -1, r["days_hit"], r["mean"] or 0),
+        reverse=True,
+    )
+    return rows
+
+
+def test_week_table_uses_days_hit():
+    buckets = [
+        {"label": "09:00", "n": 10, "mean": 110, "pct_ge_min": 0.9, "days": 5, "days_hit": 2, "pct_days_hit": 0.4},
+        {"label": "14:00", "n": 10, "mean": 105, "pct_ge_min": 0.5, "days": 5, "days_hit": 4, "pct_days_hit": 0.8},
+        {"label": "21:00", "n": 2, "mean": 200, "pct_ge_min": 1.0, "days": 1, "days_hit": 1, "pct_days_hit": 1.0},
+    ]
+    rows = leverage_rows(buckets)
+    assert [r["label"] for r in rows] == ["21:00", "14:00", "09:00"]
+    assert rows[1]["days"] == 5 and rows[1]["days_hit"] == 4
 
 
 def test_day_keeps_small_n():
-    active = [b for b in [
-        {"label": "09:00", "n": 1, "mean": 118, "pct_ge_min": 1.0},
-    ] if b["n"] > 0]
-    assert len(active) == 1
+    rows = leverage_rows(
+        [{"label": "09:00", "n": 1, "mean": 118, "pct_ge_min": 1.0, "days": 1, "days_hit": 1, "pct_days_hit": 1.0}]
+    )
+    assert len(rows) == 1
+    assert rows[0]["days"] == 1 and rows[0]["days_hit"] == 1