refactor: 将共用代码迁入 lib/ 模块化目录

统一 strategy、key_monitor、trade、hub 等共用库到 lib/ 子包,并补充 lib-structure 文档,便于四所与中控维护。

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dekun
2026-07-02 16:23:09 +08:00
parent 4742a0bb9d
commit 5797d49d8a
190 changed files with 27946 additions and 27499 deletions
+161 -161
View File
@@ -1,161 +1,161 @@
"""内照明心复盘语录 → 交易教练点评。"""
from __future__ import annotations
from typing import Any
from hub_ai.client import generate_text, model_label
from hub_ai.rolling_summary import refresh_session_rolling_summary
from hub_ai.text_util import clip_text, is_ai_error_reply
from hub_ai.config import (
CHAT_MAX_CONTINUATIONS,
CHAT_MAX_OUTPUT_TOKENS,
CHAT_TEMPERATURE,
CHAT_USER_MESSAGE_MAX_CHARS,
)
from hub_ai.prompts import CHAT_SYSTEM, build_archive_quote_review_prompt
from hub_ai.store import (
CHAT_BOT_TRADING,
append_chat_message,
create_new_session,
delete_chat_session,
get_active_session,
list_chat_sessions,
)
from hub_symbol_archive_lib import list_daily_trades
def _tag_label(tag: str) -> str:
t = (tag or "").strip().lower()
if t == "sick":
return "犯病"
if t == "emotion":
return "情绪化"
return t or ""
def _fmt_pnl(v: Any) -> str:
try:
n = float(v or 0)
except (TypeError, ValueError):
return ""
sign = "+" if n > 0 else ""
return f"{sign}{n:.2f}U"
def _fmt_pct(v: Any) -> str:
try:
n = float(v)
except (TypeError, ValueError):
return ""
return f"{n:.1f}%"
def _fmt_rr(v: Any) -> str:
try:
n = float(v)
except (TypeError, ValueError):
return ""
return f"{n:.2f}:1"
def format_archive_trades_for_ai(payload: dict[str, Any]) -> str:
trades = payload.get("trades") or []
stats = payload.get("stats") or {}
lines = [
(
f"统计:开仓 {int(stats.get('open_count') or 0)} 笔,"
f"盈利 {int(stats.get('win_count') or 0)} / 亏损 {int(stats.get('loss_count') or 0)}"
f"平均盈利 {_fmt_pnl(stats.get('avg_win'))},平均亏损 {_fmt_pnl(stats.get('avg_loss'))}"
f"胜率 {_fmt_pct(stats.get('win_rate'))},盈亏比 {_fmt_rr(stats.get('profit_loss_ratio'))}"
f"最大盈利 {_fmt_pnl(stats.get('max_win'))},最大亏损 {_fmt_pnl(stats.get('max_loss'))}"
f"犯病 {int(stats.get('sick_count') or 0)} 笔,"
f"盈亏合计 {_fmt_pnl(stats.get('pnl_total'))}"
f"剔除犯病盈亏 {_fmt_pnl(stats.get('pnl_ex_sick'))}"
)
]
if not trades:
lines.append("(该日无交易记录)")
return "\n".join(lines)
max_rows = 50
if len(trades) > max_rows:
lines.append(f"(共 {len(trades)} 笔,以下展示最近 {max_rows} 笔)")
for i, t in enumerate(trades[:max_rows], 1):
ex = str(t.get("exchange_key") or t.get("account_exchange_key") or "")
sym = str(t.get("symbol") or "")
direction = str(t.get("direction") or "")
opened = str(t.get("opened_at") or "")
closed = str(t.get("closed_at") or "")
hold = str(t.get("hold_minutes_text") or t.get("hold_minutes") or "")
result = str(t.get("result") or "")
pnl = _fmt_pnl(t.get("pnl_amount"))
entry = str(t.get("entry_type") or t.get("entry_reason") or t.get("monitor_type") or "")
tag = _tag_label(str(t.get("behavior_tag") or ""))
note = clip_text(str(t.get("note") or "").strip(), 80)
line = (
f"{i}. {ex} | {sym} | {direction} | 开仓类型 {entry} | "
f"{opened} | 平 {closed} | 持仓 {hold} | 结果 {result} | "
f"盈亏 {pnl} | 标签 {tag}"
)
if note:
line += f" | 备注 {note}"
lines.append(line)
return "\n".join(lines)
def send_archive_quote_review(
*,
quote_date: str,
content: str,
) -> dict[str, Any]:
text = (content or "").strip()
if not text:
return {"ok": False, "msg": "语录内容不能为空"}
day = (quote_date or "").strip()[:10]
if not day:
return {"ok": False, "msg": "语录日期无效"}
session = create_new_session(
trading_day=day,
title=f"复盘 {day}",
bot_mode=CHAT_BOT_TRADING,
)
sid = session["id"]
archive_payload = list_daily_trades(trading_day=day, period="today")
archive_trades_text = format_archive_trades_for_ai(archive_payload)
user_for_prompt = clip_text(text, CHAT_USER_MESSAGE_MAX_CHARS)
user_prompt = build_archive_quote_review_prompt(
quote_date=day,
archive_trades_text=archive_trades_text,
user_message=user_for_prompt,
)
reply = generate_text(
system=CHAT_SYSTEM,
user=user_prompt,
temperature=CHAT_TEMPERATURE,
max_tokens=CHAT_MAX_OUTPUT_TOKENS,
max_continuations=CHAT_MAX_CONTINUATIONS,
)
if is_ai_error_reply(reply):
delete_chat_session(sid)
return {"ok": False, "msg": reply}
append_chat_message(sid, "user", text)
session = append_chat_message(sid, "assistant", reply)
refresh_session_rolling_summary(
sid,
prior_summary="",
user_text=text,
assistant_text=reply,
bot_mode=CHAT_BOT_TRADING,
)
session = get_active_session() or session
return {
"ok": True,
"trading_day": day,
"session": session,
"sessions": list_chat_sessions(),
"reply": reply,
"model": model_label(),
}
"""内照明心复盘语录 → 交易教练点评。"""
from __future__ import annotations
from typing import Any
from hub_ai.client import generate_text, model_label
from hub_ai.rolling_summary import refresh_session_rolling_summary
from hub_ai.text_util import clip_text, is_ai_error_reply
from hub_ai.config import (
CHAT_MAX_CONTINUATIONS,
CHAT_MAX_OUTPUT_TOKENS,
CHAT_TEMPERATURE,
CHAT_USER_MESSAGE_MAX_CHARS,
)
from hub_ai.prompts import CHAT_SYSTEM, build_archive_quote_review_prompt
from hub_ai.store import (
CHAT_BOT_TRADING,
append_chat_message,
create_new_session,
delete_chat_session,
get_active_session,
list_chat_sessions,
)
from lib.hub.hub_symbol_archive_lib import list_daily_trades
def _tag_label(tag: str) -> str:
t = (tag or "").strip().lower()
if t == "sick":
return "犯病"
if t == "emotion":
return "情绪化"
return t or ""
def _fmt_pnl(v: Any) -> str:
try:
n = float(v or 0)
except (TypeError, ValueError):
return ""
sign = "+" if n > 0 else ""
return f"{sign}{n:.2f}U"
def _fmt_pct(v: Any) -> str:
try:
n = float(v)
except (TypeError, ValueError):
return ""
return f"{n:.1f}%"
def _fmt_rr(v: Any) -> str:
try:
n = float(v)
except (TypeError, ValueError):
return ""
return f"{n:.2f}:1"
def format_archive_trades_for_ai(payload: dict[str, Any]) -> str:
trades = payload.get("trades") or []
stats = payload.get("stats") or {}
lines = [
(
f"统计:开仓 {int(stats.get('open_count') or 0)} 笔,"
f"盈利 {int(stats.get('win_count') or 0)} / 亏损 {int(stats.get('loss_count') or 0)}"
f"平均盈利 {_fmt_pnl(stats.get('avg_win'))},平均亏损 {_fmt_pnl(stats.get('avg_loss'))}"
f"胜率 {_fmt_pct(stats.get('win_rate'))},盈亏比 {_fmt_rr(stats.get('profit_loss_ratio'))}"
f"最大盈利 {_fmt_pnl(stats.get('max_win'))},最大亏损 {_fmt_pnl(stats.get('max_loss'))}"
f"犯病 {int(stats.get('sick_count') or 0)} 笔,"
f"盈亏合计 {_fmt_pnl(stats.get('pnl_total'))}"
f"剔除犯病盈亏 {_fmt_pnl(stats.get('pnl_ex_sick'))}"
)
]
if not trades:
lines.append("(该日无交易记录)")
return "\n".join(lines)
max_rows = 50
if len(trades) > max_rows:
lines.append(f"(共 {len(trades)} 笔,以下展示最近 {max_rows} 笔)")
for i, t in enumerate(trades[:max_rows], 1):
ex = str(t.get("exchange_key") or t.get("account_exchange_key") or "")
sym = str(t.get("symbol") or "")
direction = str(t.get("direction") or "")
opened = str(t.get("opened_at") or "")
closed = str(t.get("closed_at") or "")
hold = str(t.get("hold_minutes_text") or t.get("hold_minutes") or "")
result = str(t.get("result") or "")
pnl = _fmt_pnl(t.get("pnl_amount"))
entry = str(t.get("entry_type") or t.get("entry_reason") or t.get("monitor_type") or "")
tag = _tag_label(str(t.get("behavior_tag") or ""))
note = clip_text(str(t.get("note") or "").strip(), 80)
line = (
f"{i}. {ex} | {sym} | {direction} | 开仓类型 {entry} | "
f"{opened} | 平 {closed} | 持仓 {hold} | 结果 {result} | "
f"盈亏 {pnl} | 标签 {tag}"
)
if note:
line += f" | 备注 {note}"
lines.append(line)
return "\n".join(lines)
def send_archive_quote_review(
*,
quote_date: str,
content: str,
) -> dict[str, Any]:
text = (content or "").strip()
if not text:
return {"ok": False, "msg": "语录内容不能为空"}
day = (quote_date or "").strip()[:10]
if not day:
return {"ok": False, "msg": "语录日期无效"}
session = create_new_session(
trading_day=day,
title=f"复盘 {day}",
bot_mode=CHAT_BOT_TRADING,
)
sid = session["id"]
archive_payload = list_daily_trades(trading_day=day, period="today")
archive_trades_text = format_archive_trades_for_ai(archive_payload)
user_for_prompt = clip_text(text, CHAT_USER_MESSAGE_MAX_CHARS)
user_prompt = build_archive_quote_review_prompt(
quote_date=day,
archive_trades_text=archive_trades_text,
user_message=user_for_prompt,
)
reply = generate_text(
system=CHAT_SYSTEM,
user=user_prompt,
temperature=CHAT_TEMPERATURE,
max_tokens=CHAT_MAX_OUTPUT_TOKENS,
max_continuations=CHAT_MAX_CONTINUATIONS,
)
if is_ai_error_reply(reply):
delete_chat_session(sid)
return {"ok": False, "msg": reply}
append_chat_message(sid, "user", text)
session = append_chat_message(sid, "assistant", reply)
refresh_session_rolling_summary(
sid,
prior_summary="",
user_text=text,
assistant_text=reply,
bot_mode=CHAT_BOT_TRADING,
)
session = get_active_session() or session
return {
"ok": True,
"trading_day": day,
"session": session,
"sessions": list_chat_sessions(),
"reply": reply,
"model": model_label(),
}