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>
This commit is contained in:
@@ -6,7 +6,7 @@ import math
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from collections import defaultdict
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from typing import Any, Iterable, Sequence
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from packages.domain.buckets import shanghai_bucket
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from packages.domain.buckets import shanghai_bucket, shanghai_day
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from packages.domain.leverage import LEVERAGE_FORMULA_VERSION
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@@ -87,9 +87,15 @@ def aggregate_leverage(
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"""
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rows: 需含 ts_ms, leverage, side。
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返回按桶排序的聚合列表(含空桶)。
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额外字段:
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days — 该时段有样本的上海自然日数
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days_hit — 当日该时段均值 ≥ min_leverage 的天数
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pct_days_hit — days_hit / days
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"""
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want = (side or "both").upper()
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by_bucket: dict[int, list[float]] = defaultdict(list)
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# bucket -> day_ymd -> leverages
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by_bucket_day: dict[int, dict[str, list[float]]] = defaultdict(lambda: defaultdict(list))
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for r in rows:
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lev = r.get("leverage")
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@@ -106,18 +112,32 @@ def aggregate_leverage(
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continue
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if want == "BOTH" and s not in ("C", "P"):
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continue
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b = shanghai_bucket(int(r["ts_ms"]), bucket_minutes)
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ts = int(r["ts_ms"])
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b = shanghai_bucket(ts, bucket_minutes)
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day = shanghai_day(ts)
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by_bucket[b].append(lev_f)
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by_bucket_day[b][day].append(lev_f)
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out: list[dict[str, Any]] = []
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thr = float(min_leverage)
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for b in all_bucket_starts(bucket_minutes):
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stats = summarize_values(by_bucket.get(b, []), min_leverage=min_leverage)
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day_map = by_bucket_day.get(b, {})
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days = len(day_map)
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days_hit = 0
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for vals in day_map.values():
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if vals and (sum(vals) / len(vals)) >= thr:
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days_hit += 1
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pct_days = (days_hit / days) if days else None
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out.append(
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{
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"bucket_start_min": b,
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"bucket_hour": b // 60 if bucket_minutes >= 60 else None,
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"label": bucket_label(b, bucket_minutes),
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**stats,
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"days": days,
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"days_hit": days_hit,
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"pct_days_hit": pct_days,
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}
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)
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return out
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@@ -156,9 +176,11 @@ def aggregate_move_points(
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"""
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samples: {ts_ms, move_signed, move_abs}
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桶内同时给出 signed / abs 分布。
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额外:days — 该时段有结算样本的自然日数。
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"""
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by_signed: dict[int, list[float]] = defaultdict(list)
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by_abs: dict[int, list[float]] = defaultdict(list)
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by_bucket_days: dict[int, set[str]] = defaultdict(set)
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for s in samples:
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ts = s.get("ts_ms")
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signed = s.get("move_signed")
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@@ -174,6 +196,7 @@ def aggregate_move_points(
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b = shanghai_bucket(int(ts), bucket_minutes)
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by_signed[b].append(signed_f)
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by_abs[b].append(abs_f)
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by_bucket_days[b].add(shanghai_day(int(ts)))
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out: list[dict[str, Any]] = []
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for b in all_bucket_starts(bucket_minutes):
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@@ -185,6 +208,7 @@ def aggregate_move_points(
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"bucket_hour": b // 60 if bucket_minutes >= 60 else None,
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"label": bucket_label(b, bucket_minutes),
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"n": signed_stats["n"],
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"days": len(by_bucket_days.get(b, set())),
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"signed": signed_stats,
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"abs": abs_stats,
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# 便捷字段(看板默认用 abs 均值)
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@@ -61,5 +61,29 @@ def test_aggregate_leverage_buckets():
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assert b14["n"] == 2
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assert b14["mean"] == 150
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assert b14["label"] == "14:00"
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assert b14["days"] == 1
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assert b14["days_hit"] == 1
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assert b14["pct_days_hit"] == 1.0
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empty = next(b for b in buckets if b["bucket_start_min"] == 0)
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assert empty["n"] == 0
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assert empty["days"] == 0
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assert empty["days_hit"] == 0
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def test_aggregate_leverage_days_hit():
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from datetime import datetime
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from zoneinfo import ZoneInfo
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sh = ZoneInfo("Asia/Shanghai")
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ts1 = int(datetime(2026, 7, 30, 11, 10, tzinfo=sh).timestamp() * 1000)
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ts2 = int(datetime(2026, 7, 31, 11, 20, tzinfo=sh).timestamp() * 1000)
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rows = [
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{"ts_ms": ts1, "side": "C", "leverage": 120}, # day1 hit
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{"ts_ms": ts2, "side": "C", "leverage": 80}, # day2 miss
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]
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buckets = aggregate_leverage(rows, bucket_minutes=60, min_leverage=100, side="C")
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b11 = next(b for b in buckets if b["bucket_start_min"] == 11 * 60)
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assert b11["days"] == 2
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assert b11["days_hit"] == 1
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assert b11["pct_days_hit"] == 0.5
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assert b11["n"] == 2
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@@ -1,32 +1,54 @@
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"""对齐前端 opsSummary 规则的轻量逻辑测试(Python 镜像)。"""
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"""对齐前端 opsSummary 表规则的轻量逻辑测试。"""
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MIN_N = 3
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TOP_K = 5
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def leverage_summary_week(buckets, min_leverage=100):
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def leverage_rows(buckets, min_leverage=100):
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active = [b for b in buckets if b["n"] > 0]
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ranked = sorted(
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[b for b in active if b["n"] >= MIN_N and b.get("pct_ge_min") is not None],
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key=lambda b: (b["pct_ge_min"], b["n"], b.get("mean") or 0),
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reverse=True,
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)[:TOP_K]
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return ranked
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def hit_rate(b):
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if b.get("pct_days_hit") is not None:
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return b["pct_days_hit"]
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return b.get("pct_ge_min")
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def test_week_ranks_by_pct_ge_min():
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buckets = [
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{"label": "09:00", "n": 10, "mean": 110, "pct_ge_min": 0.5},
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{"label": "14:00", "n": 10, "mean": 105, "pct_ge_min": 0.8},
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{"label": "21:00", "n": 2, "mean": 200, "pct_ge_min": 1.0}, # n 不足
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def days(b):
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return b["days"] if "days" in b else (1 if b["n"] > 0 else 0)
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def days_hit(b):
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if "days_hit" in b:
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return b["days_hit"]
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return 1 if (b.get("mean") or 0) >= min_leverage and b["n"] > 0 else 0
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rows = [
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{
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"label": b["label"],
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"days": days(b),
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"days_hit": days_hit(b),
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"pct": hit_rate(b),
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"mean": b.get("mean"),
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"n": b["n"],
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}
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for b in active
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]
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ranked = leverage_summary_week(buckets)
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assert [b["label"] for b in ranked] == ["14:00", "09:00"]
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rows.sort(
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key=lambda r: (r["pct"] if r["pct"] is not None else -1, r["days_hit"], r["mean"] or 0),
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reverse=True,
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)
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return rows
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def test_week_table_uses_days_hit():
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buckets = [
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{"label": "09:00", "n": 10, "mean": 110, "pct_ge_min": 0.9, "days": 5, "days_hit": 2, "pct_days_hit": 0.4},
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{"label": "14:00", "n": 10, "mean": 105, "pct_ge_min": 0.5, "days": 5, "days_hit": 4, "pct_days_hit": 0.8},
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{"label": "21:00", "n": 2, "mean": 200, "pct_ge_min": 1.0, "days": 1, "days_hit": 1, "pct_days_hit": 1.0},
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]
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rows = leverage_rows(buckets)
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assert [r["label"] for r in rows] == ["21:00", "14:00", "09:00"]
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assert rows[1]["days"] == 5 and rows[1]["days_hit"] == 4
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def test_day_keeps_small_n():
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active = [b for b in [
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{"label": "09:00", "n": 1, "mean": 118, "pct_ge_min": 1.0},
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] if b["n"] > 0]
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assert len(active) == 1
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rows = leverage_rows(
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[{"label": "09:00", "n": 1, "mean": 118, "pct_ge_min": 1.0, "days": 1, "days_hit": 1, "pct_days_hit": 1.0}]
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)
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assert len(rows) == 1
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assert rows[0]["days"] == 1 and rows[0]["days_hit"] == 1
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Vendored
+109
-71
@@ -48,6 +48,17 @@
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font-size: 0.88rem;
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line-height: 1.55;
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}
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.chart-summary-table { padding: 0.65rem 0.75rem 0.75rem; }
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.summary-note { margin-bottom: 0.55rem; color: var(--muted); font-size: 0.82rem; }
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.summary-table-wrap { overflow-x: auto; }
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.summary-table { width: 100%; border-collapse: collapse; font-size: 0.84rem; color: var(--text); }
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.summary-table th, .summary-table td {
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padding: 0.4rem 0.55rem; text-align: right; border-bottom: 1px solid #1c2734; white-space: nowrap;
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}
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.summary-table th:first-child, .summary-table td:first-child { text-align: left; }
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.summary-table thead th { color: var(--muted); font-weight: 600; border-bottom-color: #2a3a4d; }
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.summary-table tbody tr:last-child td { border-bottom: none; }
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.summary-table tbody tr:hover td { background: rgba(255,255,255,0.03); }
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.hidden { display: none; }
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pre { background: var(--panel); border: 1px solid #243041; border-radius: 10px; padding: 1rem; overflow: auto; font-size: 0.78rem; color: #b7c5d4; }
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.center-page { display: flex; justify-content: center; align-items: flex-start; min-height: 50vh; padding: 1.5rem 0 3rem; }
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@@ -139,7 +150,7 @@
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<div class="chart-title" id="chartTitle">上图 · 时段杠杆均值</div>
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<svg id="levChart" class="chart-svg" viewBox="0 0 880 260" role="img"></svg>
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</div>
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<p class="chart-summary" id="levSummary">—</p>
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<div class="chart-summary" id="levSummary">—</div>
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<div class="toolbar" style="margin-top:1rem">
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<div class="seg" id="moveModeSeg">
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<button type="button" data-mode="abs" class="active">绝对波动</button>
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@@ -151,7 +162,7 @@
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<div class="chart-title" id="moveTitle">下图 · 时段→到期波动</div>
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<svg id="moveChart" class="chart-svg" viewBox="0 0 880 260" role="img"></svg>
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</div>
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<p class="chart-summary" id="moveSummary">—</p>
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<div class="chart-summary" id="moveSummary">—</div>
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</section>
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<section id="page-settings" class="hidden">
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<div class="center-page">
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@@ -556,7 +567,8 @@
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document.querySelectorAll("#moveModeSeg button").forEach(x => x.classList.toggle("active", x === b));
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if (state.lastMov) {
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drawMoveChart(state.lastMov.buckets || [], state.moveMode);
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document.getElementById("moveSummary").textContent = buildMoveSummary(
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renderMoveTable(
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document.getElementById("moveSummary"),
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state.range, state.lastMov.buckets || [], {
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pendingExpiry: !!state.lastMov.pending_expiry,
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mode: state.moveMode,
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@@ -631,86 +643,110 @@
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svg.innerHTML = html;
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}
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const SUMMARY_MIN_N = 3;
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const SUMMARY_TOP_K = 5;
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function fmtSummaryPct(p) { return Math.round(p * 100) + "%"; }
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function fmtSummaryNum(n, d) {
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d = d == null ? 1 : d;
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return Number(n).toFixed(d);
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}
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function buildLevSummary(range, buckets, minLeverage) {
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const active = (buckets || []).filter(b => (b.n || 0) > 0);
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if (!active.length) return "所选范围内暂无杠杆样本,采集后将显示各时段分布。";
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const bestMean = active.slice().sort((a, b) => (b.mean ?? -1) - (a.mean ?? -1))[0];
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if (range === "day") {
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const labels = active.map(b => b.label).join("、");
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let text = "今日杠杆分布:有样本时段 " + labels + "。";
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if (bestMean && bestMean.mean != null) {
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const ge = bestMean.mean >= minLeverage ? "已超过" : "未达到";
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text += " " + bestMean.label + " 均值约 " + fmtSummaryNum(bestMean.mean) + "," + ge + "达标线 " + minLeverage + "。";
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}
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if (active.length <= 2) {
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text += " 采集初期,今日仅 " + active.length + " 个时段有样本,结论仅供参考。";
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}
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return text;
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}
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const windowName = range === "week" ? "本周" : "本月";
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const ranked = active
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.filter(b => b.n >= SUMMARY_MIN_N && b.pct_ge_min != null)
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.sort((a, b) => {
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const dp = (b.pct_ge_min || 0) - (a.pct_ge_min || 0);
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if (dp !== 0) return dp;
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const dn = (b.n || 0) - (a.n || 0);
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if (dn !== 0) return dn;
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return (b.mean || 0) - (a.mean || 0);
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})
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.slice(0, SUMMARY_TOP_K);
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let text = "";
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if (!ranked.length) {
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text = windowName + "各时段样本仍偏少(单时段不足 " + SUMMARY_MIN_N + " 条),暂不给出高概率名单;持续采集后会更稳定。";
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} else {
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text = windowName + "≥" + minLeverage + " 出现概率较高的时段:" +
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ranked.map(b => b.label + "(" + fmtSummaryPct(b.pct_ge_min || 0) + ")").join("、") + "。";
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}
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if (bestMean && bestMean.mean != null && bestMean.n >= SUMMARY_MIN_N) {
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text += " 杠杆均值最高时段:" + bestMean.label + "(约 " + fmtSummaryNum(bestMean.mean) + ")。";
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} else if (bestMean && bestMean.mean != null) {
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text += " 当前均值最高:" + bestMean.label + "(约 " + fmtSummaryNum(bestMean.mean) + ",样本 " + bestMean.n + ",偏少)。";
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}
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return text;
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function hitRate(b) {
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if (b.pct_days_hit != null) return b.pct_days_hit;
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return b.pct_ge_min;
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}
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function buildMoveSummary(range, buckets, opts) {
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function dayCount(b) {
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if (typeof b.days === "number") return b.days;
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return (b.n || 0) > 0 ? 1 : 0;
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}
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function daysHitCount(b, minLeverage) {
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if (typeof b.days_hit === "number") return b.days_hit;
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return (b.mean != null && b.mean >= minLeverage && (b.n || 0) > 0) ? 1 : 0;
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}
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function renderEmptySummary(el, message) {
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el.className = "chart-summary";
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el.textContent = message;
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}
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function renderLevTable(el, range, buckets, minLeverage) {
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const active = (buckets || []).filter(b => (b.n || 0) > 0);
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if (!active.length) {
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renderEmptySummary(el, "所选范围内暂无杠杆样本,采集后将显示各时段分布。");
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return;
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}
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const rows = active.slice().map(b => ({
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label: b.label,
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days: dayCount(b),
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daysHit: daysHitCount(b, minLeverage),
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pct: hitRate(b),
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mean: b.mean,
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n: b.n,
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})).sort((a, b) => {
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const dp = (b.pct ?? -1) - (a.pct ?? -1);
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if (dp !== 0) return dp;
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const dh = b.daysHit - a.daysHit;
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if (dh !== 0) return dh;
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return (b.mean || 0) - (a.mean || 0);
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});
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const windowName = range === "day" ? "今日" : (range === "week" ? "本周" : "本月");
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const note = range === "day"
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? (windowName + "各时段明细(达标 = 该时段均值 ≥ " + minLeverage + ")")
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: (windowName + "各时段明细(达标 = 当日该时段均值 ≥ " + minLeverage + ";概率 = 达标天数 ÷ 一共几天)");
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let html = '<div class="summary-note">' + note + '</div><div class="summary-table-wrap"><table class="summary-table"><thead><tr>';
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html += "<th>时段</th><th>一共几天</th><th>达标几天</th><th>达标概率</th><th>杠杆均值</th><th>样本数</th>";
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html += "</tr></thead><tbody>";
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rows.forEach(r => {
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html += "<tr><td>" + r.label + "</td><td>" + r.days + "</td><td>" + r.daysHit + "</td><td>" +
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(r.pct != null ? fmtSummaryPct(r.pct) : "—") + "</td><td>" +
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(r.mean != null ? fmtSummaryNum(r.mean) : "—") + "</td><td>" + r.n + "</td></tr>";
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});
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html += "</tbody></table></div>";
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el.className = "chart-summary chart-summary-table";
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el.innerHTML = html;
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}
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function renderMoveTable(el, range, buckets, opts) {
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opts = opts || {};
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if (opts.pendingExpiry) {
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const extra = opts.apiMessage ? (" " + opts.apiMessage) : "";
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return ("未到期,暂无法统计时段→到期波动;结算后将按日/周/月给出高波动钟点。" + extra).trim();
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renderEmptySummary(el, ("未到期,暂无法统计时段→到期波动;结算后将按日/周/月给出各钟点明细。" + extra).trim());
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return;
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}
|
||||
const mode = opts.mode || "abs";
|
||||
const active = (buckets || []).filter(b => {
|
||||
if ((b.n || 0) <= 0) return false;
|
||||
return mode === "abs" ? b.mean_abs != null : b.mean_signed != null;
|
||||
});
|
||||
if (!active.length) return "所选范围内暂无已结算波动样本。";
|
||||
if (!active.length) {
|
||||
renderEmptySummary(el, "所选范围内暂无已结算波动样本。");
|
||||
return;
|
||||
}
|
||||
const windowName = range === "day" ? "今日" : (range === "week" ? "本周" : "本月");
|
||||
const pool = range === "day" ? active : active.filter(b => b.n >= SUMMARY_MIN_N);
|
||||
const ranked = pool.slice().sort((a, b) => {
|
||||
if (mode === "abs") return Math.abs(b.mean_abs || 0) - Math.abs(a.mean_abs || 0);
|
||||
return Math.abs(b.mean_signed || 0) - Math.abs(a.mean_signed || 0);
|
||||
}).slice(0, SUMMARY_TOP_K);
|
||||
if (!ranked.length) {
|
||||
return range === "day"
|
||||
? (windowName + "暂无可用波动样本。")
|
||||
: (windowName + "波动样本偏少(单时段不足 " + SUMMARY_MIN_N + " 条),暂不排名。");
|
||||
}
|
||||
if (mode === "abs") {
|
||||
return windowName + "波动较高时段:" +
|
||||
ranked.map(b => b.label + "(" + fmtSummaryNum(b.mean_abs || 0, 2) + ")").join("、") + "。";
|
||||
}
|
||||
return windowName + "带符号波动较大时段:" +
|
||||
ranked.map(b => {
|
||||
const v = b.mean_signed || 0;
|
||||
return b.label + "(" + fmtSummaryNum(v, 2) + "," + (v >= 0 ? "偏多" : "偏空") + ")";
|
||||
}).join("、") + "。";
|
||||
const rows = active.slice().map(b => ({
|
||||
label: b.label,
|
||||
days: typeof b.days === "number" ? b.days : ((b.n || 0) > 0 ? 1 : 0),
|
||||
n: b.n,
|
||||
meanAbs: b.mean_abs,
|
||||
meanSigned: b.mean_signed,
|
||||
})).sort((a, b) => {
|
||||
if (mode === "abs") return Math.abs(b.meanAbs || 0) - Math.abs(a.meanAbs || 0);
|
||||
return Math.abs(b.meanSigned || 0) - Math.abs(a.meanSigned || 0);
|
||||
});
|
||||
const note = mode === "abs"
|
||||
? (windowName + "各时段→到期绝对波动明细")
|
||||
: (windowName + "各时段→到期带符号波动明细");
|
||||
const colA = mode === "abs" ? "绝对波动均值" : "带符号均值";
|
||||
const colB = mode === "abs" ? "带符号均值" : "绝对波动均值";
|
||||
let html = '<div class="summary-note">' + note + '</div><div class="summary-table-wrap"><table class="summary-table"><thead><tr>';
|
||||
html += "<th>时段</th><th>一共几天</th><th>样本数</th><th>" + colA + "</th><th>" + colB + "</th>";
|
||||
html += "</tr></thead><tbody>";
|
||||
rows.forEach(r => {
|
||||
const a = mode === "abs"
|
||||
? (r.meanAbs != null ? fmtSummaryNum(r.meanAbs, 2) : "—")
|
||||
: (r.meanSigned != null ? fmtSummaryNum(r.meanSigned, 2) : "—");
|
||||
const b = mode === "abs"
|
||||
? (r.meanSigned != null ? fmtSummaryNum(r.meanSigned, 2) : "—")
|
||||
: (r.meanAbs != null ? fmtSummaryNum(r.meanAbs, 2) : "—");
|
||||
html += "<tr><td>" + r.label + "</td><td>" + r.days + "</td><td>" + r.n + "</td><td>" + a + "</td><td>" + b + "</td></tr>";
|
||||
});
|
||||
html += "</tbody></table></div>";
|
||||
el.className = "chart-summary chart-summary-table";
|
||||
el.innerHTML = html;
|
||||
}
|
||||
|
||||
async function loadOps() {
|
||||
@@ -751,7 +787,8 @@
|
||||
const titleMap = { day: "日", week: "近7日", month: "近30日" };
|
||||
document.getElementById("chartTitle").textContent = "上图 · 时段杠杆均值(" + (titleMap[state.range]||"") + ")";
|
||||
drawChart(lev.buckets || [], lev.min_leverage || 100);
|
||||
document.getElementById("levSummary").textContent = buildLevSummary(
|
||||
renderLevTable(
|
||||
document.getElementById("levSummary"),
|
||||
state.range, lev.buckets || [], lev.min_leverage || 100
|
||||
);
|
||||
const mov = d.move_points || {};
|
||||
@@ -764,7 +801,8 @@
|
||||
document.getElementById("moveTitle").textContent =
|
||||
"下图 · 时段→到期波动(" + (titleMap[state.range]||"") + " · " + state.moveMode + ")";
|
||||
drawMoveChart(mov.buckets || [], state.moveMode);
|
||||
document.getElementById("moveSummary").textContent = buildMoveSummary(
|
||||
renderMoveTable(
|
||||
document.getElementById("moveSummary"),
|
||||
state.range, mov.buckets || [], {
|
||||
pendingExpiry: !!mov.pending_expiry,
|
||||
mode: state.moveMode,
|
||||
@@ -773,8 +811,8 @@
|
||||
);
|
||||
} catch (e) {
|
||||
document.getElementById("opsRange").textContent = "加载失败";
|
||||
document.getElementById("levSummary").textContent = String(e);
|
||||
document.getElementById("moveSummary").textContent = String(e);
|
||||
renderEmptySummary(document.getElementById("levSummary"), String(e));
|
||||
renderEmptySummary(document.getElementById("moveSummary"), String(e));
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -195,6 +195,9 @@ export type LeverageBucket = {
|
||||
p25: number | null;
|
||||
p75: number | null;
|
||||
pct_ge_min: number | null;
|
||||
days?: number;
|
||||
days_hit?: number;
|
||||
pct_days_hit?: number | null;
|
||||
};
|
||||
|
||||
export type LeverageStats = {
|
||||
@@ -213,6 +216,7 @@ export type MoveBucket = {
|
||||
bucket_start_min: number;
|
||||
label: string;
|
||||
n: number;
|
||||
days?: number;
|
||||
mean_abs: number | null;
|
||||
median_abs: number | null;
|
||||
mean_signed: number | null;
|
||||
|
||||
+159
-106
@@ -1,10 +1,13 @@
|
||||
/** 作战地图图下文字结论(由 buckets 生成)。 */
|
||||
/** 作战地图图下明细表(由 buckets 生成)。 */
|
||||
|
||||
export type LevBucket = {
|
||||
label: string;
|
||||
n: number;
|
||||
mean: number | null;
|
||||
pct_ge_min: number | null;
|
||||
days?: number;
|
||||
days_hit?: number;
|
||||
pct_days_hit?: number | null;
|
||||
};
|
||||
|
||||
export type MoveBucket = {
|
||||
@@ -12,10 +15,29 @@ export type MoveBucket = {
|
||||
n: number;
|
||||
mean_abs: number | null;
|
||||
mean_signed: number | null;
|
||||
days?: number;
|
||||
};
|
||||
|
||||
const MIN_N = 3;
|
||||
const TOP_K = 5;
|
||||
export type LevTableRow = {
|
||||
label: string;
|
||||
days: number;
|
||||
daysHit: number;
|
||||
pct: number | null;
|
||||
mean: number | null;
|
||||
n: number;
|
||||
};
|
||||
|
||||
export type MoveTableRow = {
|
||||
label: string;
|
||||
days: number;
|
||||
n: number;
|
||||
meanAbs: number | null;
|
||||
meanSigned: number | null;
|
||||
};
|
||||
|
||||
export type SummaryTable<T> =
|
||||
| { kind: "empty"; message: string }
|
||||
| { kind: "table"; note?: string; rows: T[] };
|
||||
|
||||
function fmtPct(p: number): string {
|
||||
return `${Math.round(p * 100)}%`;
|
||||
@@ -29,74 +51,136 @@ function withData<T extends { n: number }>(buckets: T[]): T[] {
|
||||
return buckets.filter((b) => b.n > 0);
|
||||
}
|
||||
|
||||
function enoughSamples<T extends { n: number }>(buckets: T[]): T[] {
|
||||
return buckets.filter((b) => b.n >= MIN_N);
|
||||
/** 达标概率优先用按日口径 pct_days_hit,兼容旧数据回退到样本口径。 */
|
||||
function hitRate(b: LevBucket): number | null {
|
||||
if (b.pct_days_hit != null) return b.pct_days_hit;
|
||||
return b.pct_ge_min;
|
||||
}
|
||||
|
||||
/** 上图杠杆结论 */
|
||||
function dayCount(b: LevBucket): number {
|
||||
if (typeof b.days === "number") return b.days;
|
||||
return b.n > 0 ? 1 : 0;
|
||||
}
|
||||
|
||||
function daysHitCount(b: LevBucket, minLeverage: number): number {
|
||||
if (typeof b.days_hit === "number") return b.days_hit;
|
||||
if (b.mean != null && b.mean >= minLeverage && b.n > 0) return 1;
|
||||
return 0;
|
||||
}
|
||||
|
||||
/** 上图杠杆明细表 */
|
||||
export function leverageSummaryTable(
|
||||
range: "day" | "week" | "month",
|
||||
buckets: LevBucket[],
|
||||
minLeverage: number
|
||||
): SummaryTable<LevTableRow> {
|
||||
const active = withData(buckets);
|
||||
if (!active.length) {
|
||||
return {
|
||||
kind: "empty",
|
||||
message: "所选范围内暂无杠杆样本,采集后将显示各时段分布。",
|
||||
};
|
||||
}
|
||||
|
||||
const rows: LevTableRow[] = [...active]
|
||||
.map((b) => ({
|
||||
label: b.label,
|
||||
days: dayCount(b),
|
||||
daysHit: daysHitCount(b, minLeverage),
|
||||
pct: hitRate(b),
|
||||
mean: b.mean,
|
||||
n: b.n,
|
||||
}))
|
||||
.sort((a, b) => {
|
||||
const dp = (b.pct ?? -1) - (a.pct ?? -1);
|
||||
if (dp !== 0) return dp;
|
||||
const dh = b.daysHit - a.daysHit;
|
||||
if (dh !== 0) return dh;
|
||||
return (b.mean ?? 0) - (a.mean ?? 0);
|
||||
});
|
||||
|
||||
const windowName = range === "day" ? "今日" : range === "week" ? "本周" : "本月";
|
||||
const note =
|
||||
range === "day"
|
||||
? `${windowName}各时段明细(达标 = 该时段均值 ≥ ${minLeverage})`
|
||||
: `${windowName}各时段明细(达标 = 当日该时段均值 ≥ ${minLeverage};概率 = 达标天数 ÷ 一共几天)`;
|
||||
|
||||
return { kind: "table", note, rows };
|
||||
}
|
||||
|
||||
/** 下图波动明细表 */
|
||||
export function moveSummaryTable(
|
||||
range: "day" | "week" | "month",
|
||||
buckets: MoveBucket[],
|
||||
opts: {
|
||||
pendingExpiry?: boolean;
|
||||
pendingCount?: number;
|
||||
mode: "abs" | "signed";
|
||||
apiMessage?: string | null;
|
||||
}
|
||||
): SummaryTable<MoveTableRow> {
|
||||
if (opts.pendingExpiry) {
|
||||
const extra = opts.apiMessage ? ` ${opts.apiMessage}` : "";
|
||||
return {
|
||||
kind: "empty",
|
||||
message:
|
||||
`未到期,暂无法统计时段→到期波动;结算后将按日/周/月给出各钟点明细。${extra}`.trim(),
|
||||
};
|
||||
}
|
||||
|
||||
const active = withData(buckets).filter((b) =>
|
||||
opts.mode === "abs" ? b.mean_abs != null : b.mean_signed != null
|
||||
);
|
||||
if (!active.length) {
|
||||
return { kind: "empty", message: "所选范围内暂无已结算波动样本。" };
|
||||
}
|
||||
|
||||
const windowName =
|
||||
range === "day" ? "今日" : range === "week" ? "本周" : "本月";
|
||||
|
||||
const rows: MoveTableRow[] = [...active]
|
||||
.map((b) => ({
|
||||
label: b.label,
|
||||
days: typeof b.days === "number" ? b.days : b.n > 0 ? 1 : 0,
|
||||
n: b.n,
|
||||
meanAbs: b.mean_abs,
|
||||
meanSigned: b.mean_signed,
|
||||
}))
|
||||
.sort((a, b) => {
|
||||
if (opts.mode === "abs") {
|
||||
return Math.abs(b.meanAbs ?? 0) - Math.abs(a.meanAbs ?? 0);
|
||||
}
|
||||
return Math.abs(b.meanSigned ?? 0) - Math.abs(a.meanSigned ?? 0);
|
||||
});
|
||||
|
||||
const note =
|
||||
opts.mode === "abs"
|
||||
? `${windowName}各时段→到期绝对波动明细`
|
||||
: `${windowName}各时段→到期带符号波动明细`;
|
||||
|
||||
return { kind: "table", note, rows };
|
||||
}
|
||||
|
||||
/** @deprecated 保留短句接口给旧调用;新 UI 用表格。 */
|
||||
export function leverageSummary(
|
||||
range: "day" | "week" | "month",
|
||||
buckets: LevBucket[],
|
||||
minLeverage: number
|
||||
): string {
|
||||
const active = withData(buckets);
|
||||
if (!active.length) {
|
||||
return "所选范围内暂无杠杆样本,采集后将显示各时段分布。";
|
||||
}
|
||||
|
||||
const bestMean = [...active].sort((a, b) => (b.mean ?? -1) - (a.mean ?? -1))[0];
|
||||
const minL = minLeverage;
|
||||
|
||||
if (range === "day") {
|
||||
const labels = active.map((b) => b.label).join("、");
|
||||
const parts: string[] = [];
|
||||
parts.push(`今日杠杆分布:有样本时段 ${labels}。`);
|
||||
if (bestMean?.mean != null) {
|
||||
const ge = bestMean.mean >= minL ? "已超过" : "未达到";
|
||||
parts.push(
|
||||
`${bestMean.label} 均值约 ${fmtNum(bestMean.mean)},${ge}达标线 ${minL}。`
|
||||
);
|
||||
}
|
||||
if (active.length <= 2) {
|
||||
parts.push(`采集初期,今日仅 ${active.length} 个时段有样本,结论仅供参考。`);
|
||||
}
|
||||
return parts.join(" ");
|
||||
}
|
||||
|
||||
const windowName = range === "week" ? "本周" : "本月";
|
||||
const ranked = enoughSamples(active)
|
||||
.filter((b) => b.pct_ge_min != null)
|
||||
.sort((a, b) => {
|
||||
const dp = (b.pct_ge_min ?? 0) - (a.pct_ge_min ?? 0);
|
||||
if (dp !== 0) return dp;
|
||||
const dn = b.n - a.n;
|
||||
if (dn !== 0) return dn;
|
||||
return (b.mean ?? 0) - (a.mean ?? 0);
|
||||
})
|
||||
.slice(0, TOP_K);
|
||||
|
||||
const parts: string[] = [];
|
||||
if (!ranked.length) {
|
||||
parts.push(
|
||||
`${windowName}各时段样本仍偏少(单时段不足 ${MIN_N} 条),暂不给出高概率名单;持续采集后会更稳定。`
|
||||
);
|
||||
} else {
|
||||
const list = ranked
|
||||
.map((b) => `${b.label}(${fmtPct(b.pct_ge_min ?? 0)})`)
|
||||
.join("、");
|
||||
parts.push(`${windowName}≥${minL} 出现概率较高的时段:${list}。`);
|
||||
}
|
||||
if (bestMean?.mean != null && bestMean.n >= MIN_N) {
|
||||
parts.push(`杠杆均值最高时段:${bestMean.label}(约 ${fmtNum(bestMean.mean)})。`);
|
||||
} else if (bestMean?.mean != null) {
|
||||
parts.push(
|
||||
`当前均值最高:${bestMean.label}(约 ${fmtNum(bestMean.mean)},样本 ${bestMean.n},偏少)。`
|
||||
);
|
||||
}
|
||||
return parts.join(" ");
|
||||
const t = leverageSummaryTable(range, buckets, minLeverage);
|
||||
if (t.kind === "empty") return t.message;
|
||||
const top = t.rows.slice(0, 5);
|
||||
const list = top
|
||||
.map(
|
||||
(r) =>
|
||||
`${r.label}(一共 ${r.days} 天,达标 ${r.daysHit} 天${
|
||||
r.pct != null ? `,${fmtPct(r.pct)}` : ""
|
||||
})`
|
||||
)
|
||||
.join("、");
|
||||
return `${t.note}:${list}。`;
|
||||
}
|
||||
|
||||
/** 下图波动结论 */
|
||||
export function moveSummary(
|
||||
range: "day" | "week" | "month",
|
||||
buckets: MoveBucket[],
|
||||
@@ -107,51 +191,20 @@ export function moveSummary(
|
||||
apiMessage?: string | null;
|
||||
}
|
||||
): string {
|
||||
if (opts.pendingExpiry) {
|
||||
const extra = opts.apiMessage ? ` ${opts.apiMessage}` : "";
|
||||
return `未到期,暂无法统计时段→到期波动;结算后将按日/周/月给出高波动钟点。${extra}`.trim();
|
||||
}
|
||||
|
||||
const active = withData(buckets).filter((b) =>
|
||||
opts.mode === "abs" ? b.mean_abs != null : b.mean_signed != null
|
||||
);
|
||||
if (!active.length) {
|
||||
return "所选范围内暂无已结算波动样本。";
|
||||
}
|
||||
|
||||
const windowName =
|
||||
range === "day" ? "今日" : range === "week" ? "本周" : "本月";
|
||||
|
||||
// 日视图样本少时放宽;周/月仍要求单时段样本足够
|
||||
const pool = range === "day" ? active : enoughSamples(active);
|
||||
const ranked = [...pool]
|
||||
.sort((a, b) => {
|
||||
if (opts.mode === "abs") {
|
||||
return Math.abs(b.mean_abs ?? 0) - Math.abs(a.mean_abs ?? 0);
|
||||
}
|
||||
return Math.abs(b.mean_signed ?? 0) - Math.abs(a.mean_signed ?? 0);
|
||||
})
|
||||
.slice(0, TOP_K);
|
||||
|
||||
if (!ranked.length) {
|
||||
return range === "day"
|
||||
? `${windowName}暂无可用波动样本。`
|
||||
: `${windowName}波动样本偏少(单时段不足 ${MIN_N} 条),暂不排名。`;
|
||||
}
|
||||
|
||||
const t = moveSummaryTable(range, buckets, opts);
|
||||
if (t.kind === "empty") return t.message;
|
||||
const top = t.rows.slice(0, 5);
|
||||
if (opts.mode === "abs") {
|
||||
const list = ranked
|
||||
.map((b) => `${b.label}(${fmtNum(b.mean_abs ?? 0, 2)})`)
|
||||
.join("、");
|
||||
return `${windowName}波动较高时段:${list}。`;
|
||||
return `${t.note}:${top
|
||||
.map((r) => `${r.label}(${fmtNum(r.meanAbs ?? 0, 2)},${r.days} 天)`)
|
||||
.join("、")}。`;
|
||||
}
|
||||
|
||||
const list = ranked
|
||||
.map((b) => {
|
||||
const v = b.mean_signed ?? 0;
|
||||
const dir = v >= 0 ? "偏多" : "偏空";
|
||||
return `${b.label}(${fmtNum(v, 2)},${dir})`;
|
||||
return `${t.note}:${top
|
||||
.map((r) => {
|
||||
const v = r.meanSigned ?? 0;
|
||||
return `${r.label}(${fmtNum(v, 2)},${r.days} 天)`;
|
||||
})
|
||||
.join("、");
|
||||
return `${windowName}带符号波动较大时段:${list}。`;
|
||||
.join("、")}。`;
|
||||
}
|
||||
|
||||
export { fmtPct, fmtNum };
|
||||
|
||||
+107
-8
@@ -10,7 +10,12 @@ import AppNav from "../components/AppNav";
|
||||
import LeverageChart from "../components/LeverageChart";
|
||||
import LoginGate from "../components/LoginGate";
|
||||
import MovePointsChart from "../components/MovePointsChart";
|
||||
import { leverageSummary, moveSummary } from "../lib/opsSummary";
|
||||
import {
|
||||
fmtNum,
|
||||
fmtPct,
|
||||
leverageSummaryTable,
|
||||
moveSummaryTable,
|
||||
} from "../lib/opsSummary";
|
||||
|
||||
type RangeKey = "day" | "week" | "month";
|
||||
type SideKey = "both" | "C" | "P";
|
||||
@@ -215,9 +220,49 @@ export default function OpsMapPage() {
|
||||
minLeverage={lev.min_leverage}
|
||||
title={`上图 · 时段杠杆均值(${rangeLabel})`}
|
||||
/>
|
||||
<p className="chart-summary">
|
||||
{leverageSummary(range, lev.buckets, lev.min_leverage)}
|
||||
</p>
|
||||
{(() => {
|
||||
const levTable = leverageSummaryTable(
|
||||
range,
|
||||
lev.buckets,
|
||||
lev.min_leverage
|
||||
);
|
||||
if (levTable.kind === "empty") {
|
||||
return <p className="chart-summary">{levTable.message}</p>;
|
||||
}
|
||||
return (
|
||||
<div className="chart-summary chart-summary-table">
|
||||
{levTable.note && (
|
||||
<div className="summary-note">{levTable.note}</div>
|
||||
)}
|
||||
<div className="summary-table-wrap">
|
||||
<table className="summary-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>时段</th>
|
||||
<th>一共几天</th>
|
||||
<th>达标几天</th>
|
||||
<th>达标概率</th>
|
||||
<th>杠杆均值</th>
|
||||
<th>样本数</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{levTable.rows.map((r) => (
|
||||
<tr key={r.label}>
|
||||
<td>{r.label}</td>
|
||||
<td>{r.days}</td>
|
||||
<td>{r.daysHit}</td>
|
||||
<td>{r.pct != null ? fmtPct(r.pct) : "—"}</td>
|
||||
<td>{r.mean != null ? fmtNum(r.mean) : "—"}</td>
|
||||
<td>{r.n}</td>
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
})()}
|
||||
|
||||
<div className="toolbar" style={{ marginTop: "1.25rem" }}>
|
||||
<div className="seg">
|
||||
@@ -250,14 +295,68 @@ export default function OpsMapPage() {
|
||||
moveMode === "abs" ? "abs" : "signed"
|
||||
})`}
|
||||
/>
|
||||
<p className="chart-summary">
|
||||
{moveSummary(range, mov?.buckets ?? [], {
|
||||
{(() => {
|
||||
const movTable = moveSummaryTable(range, mov?.buckets ?? [], {
|
||||
pendingExpiry: mov?.pending_expiry,
|
||||
pendingCount: mov?.pending_count,
|
||||
mode: moveMode,
|
||||
apiMessage: mov?.message,
|
||||
})}
|
||||
</p>
|
||||
});
|
||||
if (movTable.kind === "empty") {
|
||||
return <p className="chart-summary">{movTable.message}</p>;
|
||||
}
|
||||
return (
|
||||
<div className="chart-summary chart-summary-table">
|
||||
{movTable.note && (
|
||||
<div className="summary-note">{movTable.note}</div>
|
||||
)}
|
||||
<div className="summary-table-wrap">
|
||||
<table className="summary-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>时段</th>
|
||||
<th>一共几天</th>
|
||||
<th>样本数</th>
|
||||
<th>
|
||||
{moveMode === "abs" ? "绝对波动均值" : "带符号均值"}
|
||||
</th>
|
||||
<th>
|
||||
{moveMode === "abs" ? "带符号均值" : "绝对波动均值"}
|
||||
</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{movTable.rows.map((r) => (
|
||||
<tr key={r.label}>
|
||||
<td>{r.label}</td>
|
||||
<td>{r.days}</td>
|
||||
<td>{r.n}</td>
|
||||
<td>
|
||||
{moveMode === "abs"
|
||||
? r.meanAbs != null
|
||||
? fmtNum(r.meanAbs, 2)
|
||||
: "—"
|
||||
: r.meanSigned != null
|
||||
? fmtNum(r.meanSigned, 2)
|
||||
: "—"}
|
||||
</td>
|
||||
<td>
|
||||
{moveMode === "abs"
|
||||
? r.meanSigned != null
|
||||
? fmtNum(r.meanSigned, 2)
|
||||
: "—"
|
||||
: r.meanAbs != null
|
||||
? fmtNum(r.meanAbs, 2)
|
||||
: "—"}
|
||||
</td>
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
})()}
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -190,6 +190,45 @@ select.field-input { cursor: pointer; }
|
||||
font-size: 0.88rem;
|
||||
line-height: 1.55;
|
||||
}
|
||||
.chart-summary-table {
|
||||
padding: 0.65rem 0.75rem 0.75rem;
|
||||
}
|
||||
.summary-note {
|
||||
margin-bottom: 0.55rem;
|
||||
color: var(--muted);
|
||||
font-size: 0.82rem;
|
||||
}
|
||||
.summary-table-wrap {
|
||||
overflow-x: auto;
|
||||
}
|
||||
.summary-table {
|
||||
width: 100%;
|
||||
border-collapse: collapse;
|
||||
font-size: 0.84rem;
|
||||
color: var(--text);
|
||||
}
|
||||
.summary-table th,
|
||||
.summary-table td {
|
||||
padding: 0.4rem 0.55rem;
|
||||
text-align: right;
|
||||
border-bottom: 1px solid #1c2734;
|
||||
white-space: nowrap;
|
||||
}
|
||||
.summary-table th:first-child,
|
||||
.summary-table td:first-child {
|
||||
text-align: left;
|
||||
}
|
||||
.summary-table thead th {
|
||||
color: var(--muted);
|
||||
font-weight: 600;
|
||||
border-bottom-color: #2a3a4d;
|
||||
}
|
||||
.summary-table tbody tr:last-child td {
|
||||
border-bottom: none;
|
||||
}
|
||||
.summary-table tbody tr:hover td {
|
||||
background: rgba(255, 255, 255, 0.03);
|
||||
}
|
||||
.chart-legend {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
|
||||
Reference in New Issue
Block a user