接通 @ 社交图增量写入链路

- 在消息归档后自动写入 t_message_mentions 明细表（INSERT IGNORE 防重复）

- 在消息归档后自动写入 t_social_edges_daily 日边表（ON DUPLICATE KEY 累加）

- 同步更新 t_value_rank_social_daily 的被@次数与主动@次数，供 value_rank 直接消费

- 优化 @ 提取函数：返回去重列表，并统一过滤 @所有人 与自己@自己

- 保持主链路稳定：社交图写入失败不影响消息归档成功

db/message_storage.py

@@ -42,7 +42,8 @@ class MessageStorageDB(BaseDBOperator):
         # 尽可能保存完整原始负载：优先使用对象自带序列化能力，其次兜底到 __dict__。
         raw_payload = self._serialize_raw_payload(msg)
         # 在入库阶段结构化提取被@清单，避免后续统计每次都回扫原始包。
-        mentioned_user_ids_json = self._extract_mentioned_user_ids(msg)
+        mentioned_user_ids = self._extract_mentioned_user_ids(msg)
+        mentioned_user_ids_json = json.dumps(mentioned_user_ids, ensure_ascii=False)
 
         sql_with_raw_payload = """
         INSERT INTO messages (
@@ -52,7 +53,16 @@ class MessageStorageDB(BaseDBOperator):
         VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
         """
         params_with_raw_payload = (*base_params[:8], raw_payload, mentioned_user_ids_json, base_params[8])
-        if self.execute_update(sql_with_raw_payload, params_with_raw_payload):
+        archived = self.execute_update(sql_with_raw_payload, params_with_raw_payload)
+        if archived:
+            # 归档成功后增量写社交关系数据。该步骤为统计增强逻辑，失败不应影响主流程。
+            self._persist_mention_graph_data(
+                group_id=str(getattr(msg, "roomid", "") or ""),
+                sender_id=str(getattr(msg, "sender", "") or ""),
+                message_id=str(getattr(msg, "msg_id", "") or ""),
+                mentioned_user_ids=mentioned_user_ids,
+                msg_time=datetime.now(),
+            )
             return True
 
         # 兼容旧表结构：如果线上还没执行 ALTER TABLE，加列前仍可继续正常归档。
@@ -63,7 +73,17 @@ class MessageStorageDB(BaseDBOperator):
         )
         VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
         """
-        return self.execute_update(sql_legacy, base_params)
+        archived = self.execute_update(sql_legacy, base_params)
+        if archived:
+            # 老表结构下（未加 mentioned_user_ids 字段）也继续补写社交图数据，避免统计断层。
+            self._persist_mention_graph_data(
+                group_id=str(getattr(msg, "roomid", "") or ""),
+                sender_id=str(getattr(msg, "sender", "") or ""),
+                message_id=str(getattr(msg, "msg_id", "") or ""),
+                mentioned_user_ids=mentioned_user_ids,
+                msg_time=datetime.now(),
+            )
+        return archived
 
     def _serialize_raw_payload(self, msg: WxMessage) -> str:
         """将消息对象尽量完整地序列化为 JSON 字符串。
@@ -91,19 +111,19 @@ class MessageStorageDB(BaseDBOperator):
             # 最后的保底策略：即使序列化失败，也确保字段有可追溯文本，避免丢失原始上下文。
             return str(msg)
 
-    def _extract_mentioned_user_ids(self, msg: WxMessage) -> str:
-        """从消息中提取被@用户ID列表，并返回 JSON 数组字符串。
+    def _extract_mentioned_user_ids(self, msg: WxMessage) -> List[str]:
+        """从消息中提取被@用户ID列表，并返回去重后的列表。
 
         解析策略：
         1. 优先从 `msg.msg_source` 的 XML 里读取 `atuserlist` 节点；
         2. 若 XML 解析失败，则退化为正则提取 `atuserlist` 文本；
         3. 去重并过滤空值，保证输出稳定。
 
-        返回值示例：`["wxid_a","wxid_b"]`
+        返回值示例：`["wxid_a", "wxid_b"]`
         """
         raw_xml = str(getattr(msg, "msg_source", "") or "")
         if not raw_xml:
-            return "[]"
+            return []
 
         at_user_list_text = ""
         try:
@@ -118,7 +138,7 @@ class MessageStorageDB(BaseDBOperator):
                 at_user_list_text = str(match.group(1) or "").strip()
 
         if not at_user_list_text:
-            return "[]"
+            return []
 
         # 微信 atuserlist 常见分隔符为 ','，但实际环境可能混入 ';' 或空白，这里统一兼容。
         raw_ids = re.split(r"[,\s;]+", at_user_list_text)
@@ -131,7 +151,116 @@ class MessageStorageDB(BaseDBOperator):
             seen.add(normalized_uid)
             result.append(normalized_uid)
 
-        return json.dumps(result, ensure_ascii=False)
+        return result
+
+    def _persist_mention_graph_data(
+        self,
+        group_id: str,
+        sender_id: str,
+        message_id: str,
+        mentioned_user_ids: List[str],
+        msg_time: datetime,
+    ) -> None:
+        """落盘社交图增量数据（明细 + 边 + 个人日汇总）。
+
+        设计原则：
+        1. 只在群消息中处理（group_id 为空直接忽略）；
+        2. 过滤无效 @ 目标（空值、@所有人、自己@自己）；
+        3. 统计写入失败不抛异常，不影响主消息归档。
+        """
+        # 非群消息或缺少关键字段时直接跳过，避免写入脏数据。
+        if not group_id or not sender_id or not message_id or not mentioned_user_ids:
+            return
+
+        # 统一清洗被@列表，避免重复统计。
+        invalid_mentions = {"notify@all", "all", "@all"}
+        clean_mentioned_ids: List[str] = []
+        seen = set()
+        for uid in mentioned_user_ids:
+            normalized_uid = str(uid or "").strip()
+            if (not normalized_uid or normalized_uid in invalid_mentions or
+                    normalized_uid == sender_id or normalized_uid in seen):
+                continue
+            seen.add(normalized_uid)
+            clean_mentioned_ids.append(normalized_uid)
+
+        if not clean_mentioned_ids:
+            return
+
+        try:
+            stat_date = msg_time.strftime("%Y-%m-%d")
+            msg_time_str = msg_time.strftime("%Y-%m-%d %H:%M:%S")
+
+            # 1) 写 @ 明细表：用于追溯“哪条消息 @ 了谁”。
+            mention_rows = [
+                (message_id, group_id, sender_id, mentioned_uid, stat_date, msg_time_str)
+                for mentioned_uid in clean_mentioned_ids
+            ]
+            self.execute_batch(
+                """
+                INSERT IGNORE INTO t_message_mentions
+                (message_id, group_id, sender_id, mentioned_user_id, stat_date, msg_time)
+                VALUES (%s, %s, %s, %s, %s, %s)
+                """,
+                mention_rows,
+            )
+
+            # 2) 写社交日边表：一条 @ 关系视为 sender -> mentioned_uid 的一条有向边增量。
+            edge_rows = [
+                (stat_date, group_id, sender_id, mentioned_uid, 1, 1.0)
+                for mentioned_uid in clean_mentioned_ids
+            ]
+            self.execute_batch(
+                """
+                INSERT INTO t_social_edges_daily
+                (stat_date, group_id, from_user_id, to_user_id, mention_count, interaction_score)
+                VALUES (%s, %s, %s, %s, %s, %s)
+                ON DUPLICATE KEY UPDATE
+                    mention_count = mention_count + VALUES(mention_count),
+                    interaction_score = interaction_score + VALUES(interaction_score),
+                    update_time = CURRENT_TIMESTAMP
+                """,
+                edge_rows,
+            )
+
+            # 3) 写个人日汇总：更新被@次数/主动@次数，供 value_rank 直接读取。
+            sender_social_row = (
+                stat_date, group_id, sender_id,
+                0, len(clean_mentioned_ids), 0,
+                float(len(clean_mentioned_ids)),
+            )
+            self.execute_update(
+                """
+                INSERT INTO t_value_rank_social_daily
+                (stat_date, group_id, user_id, mentioned_count, mention_others_count, unique_interactors, interaction_score)
+                VALUES (%s, %s, %s, %s, %s, %s, %s)
+                ON DUPLICATE KEY UPDATE
+                    mention_others_count = mention_others_count + VALUES(mention_others_count),
+                    interaction_score = interaction_score + VALUES(interaction_score),
+                    update_time = CURRENT_TIMESTAMP
+                """,
+                sender_social_row,
+            )
+
+            receiver_social_rows = [
+                (stat_date, group_id, mentioned_uid, 1, 0, 0, 1.0)
+                for mentioned_uid in clean_mentioned_ids
+            ]
+            self.execute_batch(
+                """
+                INSERT INTO t_value_rank_social_daily
+                (stat_date, group_id, user_id, mentioned_count, mention_others_count, unique_interactors, interaction_score)
+                VALUES (%s, %s, %s, %s, %s, %s, %s)
+                ON DUPLICATE KEY UPDATE
+                    mentioned_count = mentioned_count + VALUES(mentioned_count),
+                    interaction_score = interaction_score + VALUES(interaction_score),
+                    update_time = CURRENT_TIMESTAMP
+                """,
+                receiver_social_rows,
+            )
+        except Exception as e:
+            # 社交图统计属于增强链路，不能反向影响主消息入库稳定性。
+            self.LOG.error(f"写入社交图增量数据失败: {e}")
 
     def get_recent_messages(self, group_id: str, hours_ago: int = 8, min_content_length: int = 6) -> List[Dict]:
         """获取最近的消息"""