hmo
7b26c373d1
Three issues from zhiwei's strategy report: 1. '37 reassess all timed out (subprocess 60s)': real cause is per-call LLM latency exceeding the 60s per-subprocess limit during the key5-dead/ gateway-unstable window. NOT 'no concurrency control' as reported (60s is per stock, not for the batch). Fixes: per-call timeout 60->240s (LLM cold-start is 20-100s), and cap AUTO_REASSESS batch to 5 stocks per run with remainder continuing next run (was unbounded serial calls that also blew the 120s cron script window). 2. '15 stocks entry-zone center wrongly 97.0': quality gates had no zone-sanity-vs-price check, so bad data (bad quote or LLM template output) could be written freely. New GATE_ZONE_SANITY (CRITICAL): zone center must be within 0.3x-3x of current price. Verified: rejects the exact 97-center-vs-5.69-price corruption, passes legit zones. 3. 'reassess overwrites manual SQL fixes': true by design; with GATE_ZONE_SANITY at write time, reassess can no longer overwrite good values with garbage - invalid writes get rejected + flagged instead.
37 lines
1.9 KiB
Python
37 lines
1.9 KiB
Python
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() |