#!/usr/bin/env python3
"""data_governance.py — MoFin 数据治理 (no_agent)

1. holding_strategies 去重归档
2. 检查缺失策略的持仓
3. 报告数据健康状况
"""

import json, sqlite3
from pathlib import Path
from datetime import datetime
from mo_data import read_portfolio, read_decisions, read_watchlist

BASE = Path("/home/hmo/MoFin")
DATA = BASE / "data"
DB_PATH = DATA / "mofin.db"
DECISIONS_PATH = DATA / "decisions.json"


def clean_holding_strategies(conn):
    """归档旧策略，只保留每只股票最新一条"""
    codes = conn.execute(
        "SELECT code, COUNT(*) as cnt, MAX(created_at) as latest "
        "FROM holding_strategies GROUP BY code HAVING cnt > 1"
    ).fetchall()

    total_archived = 0
    for code, cnt, latest in codes:
        # 标记除了最新一条以外的所有记录为已归档
        conn.execute(
            "UPDATE holding_strategies SET superseded_at=? "
            "WHERE code=? AND created_at<? AND superseded_at IS NULL",
            (datetime.now().isoformat(), code, latest))
        total_archived += cnt - 1

    return total_archived


def check_missing_strategies(conn, decisions_list):
    """检查持仓股中哪些没有对应的策略记录"""
    holdings = [d for d in decisions_list if d.get("type") == "持仓策略" and d.get("status") != "closed"]
    missing = []
    for h in holdings:
        code = h["code"]
        row = conn.execute(
            "SELECT id FROM holding_strategies WHERE code=? AND superseded_at IS NULL LIMIT 1",
            (code,)).fetchone()
        if not row:
            missing.append(h)
    return missing


def main():
    conn = sqlite3.connect(str(DB_PATH))

    # 1. 清理 holding_strategies
    archived = clean_holding_strategies(conn)
    conn.commit()
    remaining = conn.execute(
        "SELECT COUNT(*) FROM holding_strategies WHERE superseded_at IS NULL").fetchone()[0]
    print(f"holding_strategies: 归档{archived}条过期记录 | 剩余活跃{remaining}条")

    # 2. 检查缺失策略的持仓
    decisions = mo_data.read_decisions()
    decisions_list = decisions.get("decisions", [])
    missing = check_missing_strategies(conn, decisions_list)
    if missing:
        print(f"\n⚠️ {len(missing)}只持仓没有对应策略记录:")
        for m in missing:
            print(f"  {m.get('name','?')}({m['code']}): {m.get('type','')}")
    else:
        print("✅ 所有持仓都有策略记录")

    # 3. 深套统计
    deep = []
    for d in decisions_list:
        cost = d.get("cost", 0) or d.get("avg_price", 0) or 0
        price = d.get("price", 0)
        if cost > 0 and price > 0:
            loss = (price - cost) / cost * 100
            if loss < -25:
                deep.append((d.get("name",""), d["code"], loss, d.get("stop_loss",0)))
    if deep:
        print(f"\n🔴 {len(deep)}只深套(>-25%):")
        for name, code, loss, sl in deep:
            print(f"  {name}({code}): {loss:.0f}%  止损={sl}")
    else:
        print("\n✅ 无深套持仓")

    conn.close()


if __name__ == "__main__":
    main()