fix: pool has already been opened/closed and cannot be reused

cucyuqing/cmd/es-sync.py

@@ -35,6 +35,17 @@ def parse_unixtime(unixtime: int) -> datetime.datetime:
     return datetime.datetime.fromtimestamp(unixtime)
 
 
+async def get_filter_query() -> str:
+    row = await mysql.fetch_one(
+        """
+        select name from risk_news_keywords order by id limit 1
+    """
+    )
+    if not row:
+        raise Exception("未找到风险关键词")
+    return row[0]
+
+
 async def fetch(interval: ESInterval, size=1000) -> AsyncIterable[dict]:
     """
     获取指定时间段内的数据，每次请求 size 条数据。这是一个递归函数，如果当前时间段内的数据量 = size，说明还有数据，继续请求
@@ -45,7 +56,7 @@ async def fetch(interval: ESInterval, size=1000) -> AsyncIterable[dict]:
     es_response = await post(
         url,
         {
-            "word": "(教师|老师|教授|导师|院长) - (教育部|公告|通报|准则|建设|座谈|细则|工作|动员|专题) + (不正当|性骚扰|出轨|猥亵|不公|强迫|侮辱|举报|滥用|违法|师德|贿|造假|不端|抄袭|虚假|篡改|挪用|抑郁|威胁|霸凌|体罚)",
+            "word": await get_filter_query(),
             "size": size,
             "orders": 9,
             "tmode": 2,
@@ -66,8 +77,8 @@ async def fetch(interval: ESInterval, size=1000) -> AsyncIterable[dict]:
         f'用时 {int(duration)} 秒，获取到 {len(docs)} 条数据，最早时间 {parse_unixtime(docs[0]["crawled_at"])}，最晚时间 {parse_unixtime(docs[-1]["crawled_at"])}'
     )
     for d in docs:
-        d['title'] = d['title'].replace('\x00', '')
+        d["title"] = d["title"].replace("\x00", "")
-        d['content'] = d['content'].replace('\x00', '')
+        d["content"] = d["content"].replace("\x00", "")
         yield d
     # 如果当前时间度的数据量 = size 说明还有数据，继续请求
     # 这里使用递归

cucyuqing/cmd/risk-analyze.py

@@ -40,6 +40,8 @@ async def do_analyze():
     analyze_result = await batch_risk_analyze(docs, risk_types)
     for task in analyze_result:
         if "是" not in task.response:
+            if risks_to_update.get(task.doc.id) is None:
+                risks_to_update[task.doc.id] = set()
             continue
         print(f"风险: {task.risk_type.name} 标题: {task.doc.title} {task.doc.id}")
 
@@ -58,15 +60,12 @@ async def do_analyze():
             """,
             {
                 "es_id": doc_id,
-                "risk_types": json.dumps(list(risks), ensure_ascii=False),
+                "risk_types": (
+                    json.dumps(list(risks), ensure_ascii=False) if risks else None
+                ),
             },
         )
 
-    await asyncio.gather(
-        pool.close(),
-        mysql.disconnect(),
-    )
-
 
 @dataclass
 class RiskType: