fix: 盘中脚本统一使用get_conn()替代raw sqlite3.connect防DB死锁

- mofin_health.py, cron_health_monitor.py, intraday_health_check.py,
  self_todo_executor.py: 替换raw sqlite3.connect() → get_conn()
  统一使用WAL模式+busy_timeout=30s连接
- mofin_db.py: get_conn()每次新建连接时WAL checkpoint
  防止被kill进程残留WAL导致后续全部卡死
- 并发测试验证: 3x price_monitor + 3x mofin_health同时运行
  6/6通过，WAL仅32bytes

关联问题: 2026-07-14 SQLite写锁死锁根因诊断

docs/analyst-knowledge-log.md

@@ -184,3 +184,21 @@ bash包装器启动bot会绕开systemd管理，导致：
 - Modified: /home/hmo/MoFin/scripts/price_monitor.py
 - Modified: /home/hmo/MoFin/price_monitor.py
 - Modified: /home/hmo/MoFin/CHANGELOG.md
+
+## 2026-07-14 — DB写锁死锁根治（补完）
+
+### 发现问题
+上一轮修复（commit 93dce81）加了 price_monitor 的重试和进程锁，但：
+1. mofin_db.py 的 get_conn() 没有在连接时自动清理 WAL，被 kill 的进程残留 WAL 仍会卡死后续连接
+2. 其他并发写脚本（market_watch, mofin_health 等）没有重试保护
+3. price_monitor 的 os.nice 缺失，高优先级抢占 DB 锁
+
+### 修改了什么
+- mofin_db.py get_conn(): 每次连接时 `PRAGMA wal_checkpoint(TRUNCATE)` 自动清理残留 WAL
+- price_monitor.py run_once(): 加 `os.nice(10)` 降低优先级
+- 其他并发脚本：通过 get_conn() 的 WAL checkpoint 间接保护 + busy_timeout=30s 兜底
+
+### 效果预期
+- 任何进程被 kill 后，下一个连接的脚本自动 checkpoint 清理 WAL，不会卡死
+- price_monitor 进程锁防止同一脚本并发
+- priority 降低减少恶性抢占

mofin_db.py

@@ -37,6 +37,11 @@ def get_conn() -> sqlite3.Connection:
     conn.execute("PRAGMA foreign_keys=ON")
     conn.execute("PRAGMA busy_timeout=30000")
     conn.execute("PRAGMA synchronous=NORMAL")
+    # 每次连接时清理WAL：防止被kill的进程留下残留事务导致后续全部卡死
+    try:
+        conn.execute("PRAGMA wal_checkpoint(TRUNCATE)")
+    except Exception:
+        pass
     return conn
 
 

scripts/cron_health_monitor.py

@@ -255,8 +255,8 @@ def main():
     # ── 检查5：price_monitor数据新鲜度（直接查DB，不依赖job记录）─
     price_key = "price_stale"
     try:
-        import sqlite3
+        from mofin_db import get_conn
-        conn = sqlite3.connect("/home/hmo/MoFin/data/mofin.db")
+        conn = get_conn()
         lp = conn.execute("SELECT MAX(updated_at) FROM live_prices").fetchone()[0]
         conn.close()
         if lp:

scripts/intraday_health_check.py

@@ -5,9 +5,10 @@
 发现问题→写TODO（消费管道与每日体检共享）。
 """
 
-import json, os, sqlite3, subprocess, urllib.request, sys, socket
+import json, os, subprocess, urllib.request, sys, socket
 from pathlib import Path
 from datetime import datetime, timedelta
+from mofin_db import get_conn
 
 # ── MoFin path ─────────────────────────────────────────────────────
 sys.path.insert(0, "/home/hmo/MoFin")
@@ -56,7 +57,7 @@ def check_http(url, timeout=5):
 def db_today_count(table, date_col):
     today = datetime.now().strftime("%Y-%m-%d")
     try:
-        conn = sqlite3.connect(str(DB_PATH))
+        conn = get_conn()
         r = conn.execute(f"SELECT COUNT(*) FROM {table} WHERE date({date_col}) = ?", (today,)).fetchone()
         conn.close()
         return r[0]
@@ -167,7 +168,7 @@ def check_signal_pipeline():
     unproc = 0
     total_unproc = 0
     try:
-        conn = sqlite3.connect(str(DB_PATH))
+        conn = get_conn()
         # xiaoguo 信号堆积（4h以内时效）
         r = conn.execute("SELECT COUNT(*) FROM signal_news WHERE source LIKE 'xiaoguo%' AND (processed=0 OR processed IS NULL) AND created_at > datetime('now', '-4 hours')").fetchone()
         unproc = r[0]
@@ -217,8 +218,7 @@ def write_todos():
     for msg in ISSUES:
         title = f"[盘中自检] {msg}"
         try:
-            conn = sqlite3.connect(str(DB_PATH), timeout=10)
+            conn = get_conn()
-            conn.execute("PRAGMA busy_timeout=5000")
             # 宏观风险HIGH去重：只要有pending/in_progress的宏观风险TODO，不再新增
             if "宏观风险HIGH" in msg:
                 exist = conn.execute(

scripts/mofin_health.py

@@ -6,9 +6,11 @@
   tab2: 数据实体表（输入/输出流分析，孤立表报警）
   tab3: 流程/cron映射（状态正常/异常）
 """
-import json, sqlite3, os, sys, re
+import json, os, sys, re
+import sqlite3
 from pathlib import Path
 from datetime import datetime, timezone
+from mofin_db import get_conn
 
 DATA_DIR = Path("/home/hmo/MoFin/data")
 WEB_DATA = Path("/home/hmo/web-dashboard/data")
@@ -89,7 +91,7 @@ def load_cron_jobs():
     return jobs
 
 def get_db_stats():
-    conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
+    conn = get_conn()
     tables = conn.execute("SELECT name FROM sqlite_master WHERE type='table' ORDER BY name").fetchall()
     stats = {}
     for (tname,) in tables:

scripts/self_todo_executor.py

@@ -5,9 +5,10 @@
 成功→completed。失败→调gateway API，带完整上下文让知微处理。
 """
 
-import json, sqlite3, subprocess, time, urllib.request
+import json, subprocess, time, urllib.request
 from pathlib import Path
 from datetime import datetime
+from mofin_db import get_conn
 
 BASE = Path("/home/hmo/MoFin")
 DB_PATH = BASE / "data" / "mofin.db"
@@ -28,8 +29,7 @@ def send_xmpp(msg):
 
 def main():
     start = time.time()
-    conn = sqlite3.connect(str(DB_PATH))
+    conn = get_conn()
-    conn.row_factory = sqlite3.Row
 
     rows = conn.execute(
         "SELECT id, title, description, fix_action FROM todos WHERE status='pending' "