import sqlite3
conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
conn.row_factory = sqlite3.Row

# 1. 找曾被 zhiwei 修过的 15 只（她提到的几只）当前值
codes = ['000711', '603766', '600617', '688271']
print('=== holding_strategies 当前值（她修过的几只）===')
for code in codes:
    r = conn.execute(
        "SELECT code, name, entry_low, entry_high, stop_loss, take_profit, strategy_type, "
        "quality_check, created_at, updated_at FROM holding_strategies WHERE code=? AND status='active'",
        (code,)).fetchone()
    if r:
        c = (r['entry_low'] + r['entry_high']) / 2 if r['entry_low'] and r['entry_high'] else 0
        print(f"  {r['code']} {r['name']}: 区{r['entry_low']}~{r['entry_high']} 中心{c:.2f} | type={r['strategy_type']} | created={r['created_at']} updated={r['updated_at']}")

# 2. 找 candidates 里这些股票的评分/买入区（看是不是 promote 写进来的）
print()
print('=== candidates 对应记录 ===')
for code in codes:
    r = conn.execute(
        "SELECT code, name, score, entry_low, entry_high, stop_loss, take_profit, promoted, created_at "
        "FROM candidates WHERE code=?", (code,)).fetchone()
    if r:
        print(f"  {r['code']} {r['name']}: score={r['score']} 区{r['entry_low']}~{r['entry_high']} promoted={r['promoted']} created={r['created_at']}")

# 3. 还有谁可能是 97 中心：找 entry 中心在 90~105 的活跃自选
print()
print('=== 当前活跃自选里中心 90~105 的（可能还有漏网的）===')
rows = conn.execute(
    "SELECT code, name, entry_low, entry_high FROM holding_strategies "
    "WHERE status='active' AND decision_type='自选策略' AND entry_low > 0").fetchall()
for r in rows:
    c = (r['entry_low'] + r['entry_high']) / 2
    if 90 <= c <= 105:
        print(f"  {r['code']} {r['name']}: 区{r['entry_low']}~{r['entry_high']} 中心{c:.2f}")
conn.close()