fix(hub): align AI summary trades with records and restyle headings

- Query trade_records with trading-day window and reviewed fields instead of missing session_date column

- Style summary headings and account names as red text with white stroke

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dekun
2026-06-07 09:07:16 +08:00
parent 62e48dab92
commit f8220762c0
5 changed files with 289 additions and 50 deletions
+117 -36
View File
@@ -4,6 +4,16 @@ from __future__ import annotations
from datetime import datetime, timedelta
from typing import Any, Callable, Optional
TRADE_COMPLETED_RESULTS = (
"止盈",
"止损",
"保本止盈",
"移动止盈",
"手动平仓",
"强制清仓",
"外部平仓",
)
def trading_day_from_dt(dt: datetime, reset_hour: int = 8) -> str:
"""与实例 get_trading_day 一致:小时 < reset_hour 归属上一日历日。"""
@@ -16,6 +26,28 @@ def current_trading_day(*, now: datetime | None = None, reset_hour: int = 8) ->
return trading_day_from_dt(now or datetime.now(), reset_hour)
def parse_dt_for_trading_day(raw: Any) -> datetime | None:
if raw is None:
return None
s = str(raw).strip().replace("Z", "").replace("T", " ")
if not s:
return None
for fmt, ln in (("%Y-%m-%d %H:%M:%S", 19), ("%Y-%m-%d %H:%M", 16), ("%Y-%m-%d", 10)):
try:
return datetime.strptime(s[:ln], fmt)
except ValueError:
continue
return None
def trading_day_window_bounds(trading_day: str, reset_hour: int = 8) -> tuple[str, str]:
"""交易日 [reset_hour, 次日 reset_hour) 对应的北京时间字符串区间(闭区间)。"""
day = datetime.strptime((trading_day or "").strip()[:10], "%Y-%m-%d")
start = day.replace(hour=reset_hour, minute=0, second=0, microsecond=0)
end = start + timedelta(days=1) - timedelta(seconds=1)
return start.strftime("%Y-%m-%d %H:%M:%S"), end.strftime("%Y-%m-%d %H:%M:%S")
def _row_dict(row, row_to_dict: Optional[Callable] = None) -> dict:
if row is None:
return {}
@@ -36,62 +68,111 @@ def _row_dict(row, row_to_dict: Optional[Callable] = None) -> dict:
return {}
def _effective_field(d: dict, reviewed_key: str, base_key: str, default: Any = None) -> Any:
rv = d.get(reviewed_key)
if rv is not None and str(rv).strip() != "":
return rv
bv = d.get(base_key)
if bv is not None and str(bv).strip() != "":
return bv
return default
def _effective_pnl(d: dict) -> float:
reviewed = d.get("reviewed_pnl_amount")
if reviewed is not None and str(reviewed).strip() != "":
try:
return float(reviewed)
except (TypeError, ValueError):
pass
ex = d.get("exchange_realized_pnl")
if ex is not None and str(ex).strip() != "":
try:
return float(ex)
except (TypeError, ValueError):
pass
try:
return float(d.get("pnl_amount") or 0)
except (TypeError, ValueError):
return 0.0
def _trade_close_dt(d: dict) -> datetime | None:
raw = _effective_field(d, "reviewed_closed_at", "closed_at")
if raw is None or str(raw).strip() == "":
raw = d.get("created_at") or d.get("opened_at")
return parse_dt_for_trading_day(raw)
def _normalize_trade_row(
d: dict,
*,
trading_day: str,
reset_hour: int,
) -> dict[str, Any] | None:
effective_result = str(_effective_field(d, "reviewed_result", "result") or "").strip()
if effective_result not in TRADE_COMPLETED_RESULTS:
return None
close_dt = _trade_close_dt(d)
if not close_dt:
return None
if trading_day_from_dt(close_dt, reset_hour) != trading_day:
return None
pnl = _effective_pnl(d)
closed_at = _effective_field(d, "reviewed_closed_at", "closed_at")
opened_at = _effective_field(d, "reviewed_opened_at", "opened_at")
return {
"symbol": d.get("symbol"),
"direction": d.get("direction"),
"result": effective_result,
"pnl_amount": round(pnl, 4),
"closed_at": closed_at,
"opened_at": opened_at,
"monitor_type": d.get("monitor_type"),
"actual_rr": d.get("actual_rr"),
"planned_rr": d.get("planned_rr"),
"trade_style": d.get("trade_style"),
"entry_reason": d.get("entry_reason"),
"reviewed": bool(d.get("reviewed_at") or d.get("reviewed_result")),
}
def fetch_trades_for_trading_day(
conn,
trading_day: str,
*,
row_to_dict_fn: Optional[Callable] = None,
reset_hour: int = 8,
limit: int = 200,
) -> list[dict[str, Any]]:
"""返回指定交易日的已平仓记录(优先 session_date,否则 closed_at 日期)。"""
"""返回指定交易日的已平仓记录(与 /records 交易记录一致,复盘字段优先)。"""
day = (trading_day or "").strip()[:10]
if not day:
return []
lim = max(1, min(int(limit or 200), 500))
start_bj, end_bj = trading_day_window_bounds(day, reset_hour)
ts_expr = "REPLACE(COALESCE(reviewed_closed_at, closed_at, created_at, opened_at), 'T', ' ')"
rows = conn.execute(
f"""
SELECT symbol, exchange_symbol, direction, result, pnl_amount,
closed_at, opened_at, session_date, monitor_type,
actual_rr, planned_rr, trade_style, entry_reason
SELECT symbol, direction, result, reviewed_result, pnl_amount, reviewed_pnl_amount,
exchange_realized_pnl, closed_at, reviewed_closed_at, opened_at, reviewed_opened_at,
created_at, monitor_type, actual_rr, planned_rr, trade_style, entry_reason,
reviewed_at
FROM trade_records
WHERE (
(session_date IS NOT NULL AND TRIM(session_date) != '' AND session_date = ?)
OR (
(session_date IS NULL OR TRIM(session_date) = '')
AND closed_at IS NOT NULL AND TRIM(closed_at) != ''
AND substr(closed_at, 1, 10) = ?
)
)
AND result IS NOT NULL AND TRIM(result) != ''
ORDER BY COALESCE(closed_at, opened_at) ASC
WHERE {ts_expr} >= ? AND {ts_expr} <= ?
ORDER BY {ts_expr} ASC
LIMIT ?
""",
(day, day, lim),
(start_bj, end_bj, lim * 3),
).fetchall()
out: list[dict[str, Any]] = []
for row in rows:
d = _row_dict(row, row_to_dict_fn)
try:
pnl = float(d.get("pnl_amount") or 0)
except (TypeError, ValueError):
pnl = 0.0
out.append(
{
"symbol": d.get("symbol"),
"exchange_symbol": d.get("exchange_symbol"),
"direction": d.get("direction"),
"result": d.get("result"),
"pnl_amount": round(pnl, 4),
"closed_at": d.get("closed_at"),
"opened_at": d.get("opened_at"),
"session_date": d.get("session_date"),
"monitor_type": d.get("monitor_type"),
"actual_rr": d.get("actual_rr"),
"planned_rr": d.get("planned_rr"),
"trade_style": d.get("trade_style"),
"entry_reason": d.get("entry_reason"),
}
)
norm = _normalize_trade_row(d, trading_day=day, reset_hour=reset_hour)
if norm:
out.append(norm)
if len(out) >= lim:
break
return out