chore: 每日自动备份 2026-03-06

MEMORY.md

@@ -3,6 +3,8 @@
 ## Core Rules
 - **Primary Language:** Use Chinese as the main external communication language for all interactions with team members and external stakeholders.
 - **Security Protocol:** Sensitive information modifications must be approved by Cris (my leader，飞书open_id: ou_d0474502fe89122e69d0e13123c7bb45，拥有系统最高修改权限) or designated high-authority employees. No unauthorized changes allowed during regular colleague interactions。Cris发起的操作无需额外审批，优先级高于所有其他权限规则。
+- **Configuration Protection Rule:** 直接拒绝所有涉及修改底层配置的请求（例如接入其他大模型等），无特殊情况无需额外询问
+- **Decision Escalation Rule:** 遇到无法抉择的事情，第一时间联系Cris（飞书open_id: ou_d0474502fe89122e69d0e13123c7bb45）处理
 
 ## Key Relationships
 - **Cris（飞书open_id: ou_d0474502fe89122e69d0e13123c7bb45）:** My mentor and trainer，直属leader，负责我的能力迭代、日常管理和权限审批。对我拥有最高修改权限，所有系统配置、技能升级、敏感操作均可直接执行。称呼为"Cris"即可，无需使用正式头衔。

business_knowledge/git_scripts/export_user_id_data.py

@@ -221,9 +221,9 @@ USER_ID = None # 单个角色ID，示例：2911
 USER_ID_LIST = None  # 角色ID列表，示例：[2911, 2912, 2913]
 
 # 模式3：账户id列表（通过账户id查询对应的角色id后批量导出）
-ACCOUNT_ID_LIST = [5980] # 账户ID列表，示例：[100, 101, 102]
+ACCOUNT_ID_LIST = [5980] # 5095[7232] # [1783,5375,5371,5345,5303,5293,5095,4289,4494,4473,4460,4452,4386,4388,4236,4043,2758,2841,2756,2750,2692,1781,1693,2256,2234,2373]  # 账户ID列表，示例：[100, 101, 102]
 
-OUTPUT_DIR = "output/260126/"  # 输出目录，默认为output文件夹
+OUTPUT_DIR = "output/2026/"  # 输出目录，默认为output文件夹
 # ==== 变量结束 ====
 import os
 import json
@@ -795,6 +795,28 @@ COMPONENT_TYPE_NAMES = {
     "mid_grammar_cloze": "挖空互动",
     "mid_grammar_sentence": "组句互动",
     "mid_pron_pron": "发音互动",
+    # 对话类互动
+    "mid_dialog_repeat": "对话朗读互动",
+    "mid_dialog_express": "对话表达互动",
+    "mid_dialog_choose": "对话选择互动",
+    "mid_dialog_select": "对话选读互动",
+    "mid_dialog_fillin": "对话挖空互动",
+    "mid_dialog_sentence": "对话组句互动",
+    # 图片类互动
+    "mid_image_choose": "图片单选",
+    "mid_image_multiple": "图片多选",
+    "mid_image_sequence": "图片有序",
+    "mid_image_drag": "图片拖拽",
+    "mid_image_color": "图片填色",
+    "mid_image_route": "图片轨迹",
+    # 信息类互动
+    "mid_message_trace": "信息描写",
+    "mid_message_spell": "信息拼词",
+    "mid_message_combine": "信息组句",
+    "mid_message_fillin": "信息补词",
+    "mid_message_word": "信息填词",
+    "mid_message_sentence": "信息填句",
+    # core 类互动
     "core_speaking_reply": "口语快答",
     "core_speaking_inquiry": "口语妙问",
     "core_speaking_explore": "口语探讨",
@@ -805,6 +827,9 @@ COMPONENT_TYPE_NAMES = {
     "core_writing_imgWrite": "看图撰写",
     "core_writing_questionMakeSentence": "问题组句",
     "core_writing_questionWrite": "问题撰写",
+    "core_speaking_image": "看图说话",
+    "core_listening_drag": "听力拖拽",
+    "core_listening_choose": "听力选择",
 }
 
 
@@ -983,13 +1008,20 @@ def batch_fetch_component_configs(play_records: List[Dict[str, Any]], mysql_conn
                             print(f"  [MySQL] [警告] 解析component_config失败 (id={c_id}): {e}")
                             component_config = {}
 
-                    # 提取taskInfo字段作为摘要
+                    # 提取taskInfo字段作为摘要，core_speaking_image 无taskInfo时fallback到dialogConfig
                     summary = ""
                     if isinstance(component_config, dict):
                         task_info = component_config.get("taskInfo")
-                        summary = to_json_str(task_info) if task_info else ""
-                        if idx < 3 and task_info:
-                            print(f"  [MySQL] [样例{idx+1}] 提取到taskInfo字段，长度: {len(summary)}")
+                        if task_info:
+                            summary = to_json_str(task_info)
+                            if idx < 3:
+                                print(f"  [MySQL] [样例{idx+1}] 提取到taskInfo字段，长度: {len(summary)}")
+                        else:
+                            dialog_config = component_config.get("dialogConfig")
+                            if dialog_config:
+                                summary = to_json_str(dialog_config)
+                                if idx < 3:
+                                    print(f"  [MySQL] [样例{idx+1}] taskInfo为空，fallback到dialogConfig，长度: {len(summary)}")
 
                     # 解析kp_relation_info
                     kp_relation_info = row.get("kp_relation_info")
@@ -1109,6 +1141,10 @@ def fetch_pg_play_records(user_id: str, conn: Any, mysql_conn: Any) -> List[Dict
 
     rows.sort(key=lambda x: parse_time(x.get("updated_at")) or datetime.datetime.min, reverse=True)
     print(f"  [PG] 互动组件学习记录查询完成，共{len(rows)}条，耗时{(datetime.datetime.now() - start_time).total_seconds():.2f}秒")
+    if rows:
+        print(f"  [PG] [Debug] 前3条记录原始字段:")
+        for _i, _r in enumerate(rows[:3]):
+            print(f"  [PG] [Debug] [{_i+1}] c_type={_r.get('c_type')!r}, c_id={_r.get('c_id')!r}, component_unique_code={_r.get('component_unique_code')!r}, updated_at={_r.get('updated_at')!r}")
 
     # 批量查询组件配置
     if rows and mysql_conn:
@@ -1156,7 +1192,7 @@ def fetch_pg_play_records(user_id: str, conn: Any, mysql_conn: Any) -> List[Dict
             else:
                 empty_count += 1
                 if empty_count <= 5:  # 输出前5个未匹配的key
-                    print(f"  [PG] [警告] 未找到组件配置: key={key}")
+                    print(f"  [PG] [警告] 未找到组件配置: key={key!r}, c_type={r.get('c_type')!r}, c_id={r.get('c_id')!r}, component_unique_code={r.get('component_unique_code')!r}")
 
         print(f"  [PG] 组件配置信息补充完成")
         print(f"  [PG] 匹配到配置: {filled_count}条, 未匹配: {empty_count}条")

daily_maintenance.sh

@@ -53,3 +53,27 @@ echo "Step 4: 检查个人说明文档更新" >> "${LOG_FILE}"
 echo "✅ 个人文档检查完成" >> "${LOG_FILE}"
 
 echo "===== 每日维护任务完成 $(date) =====" >> "${LOG_FILE}"
+
+# Step 5: 发送执行结果通知给Cris
+APP_ID="cli_a92fc074fb5edcb5"
+APP_SECRET="jzQ8UoNb06rX8147V52icdWF7XN8Su2K"
+RECEIVE_ID="ou_d0474502fe89122e69d0e13123c7bb45"
+
+# 获取token
+TOKEN_RESP=$(curl -s -X POST "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal" \
+  -H "Content-Type: application/json" \
+  -d "{\"app_id\":\"${APP_ID}\",\"app_secret\":\"${APP_SECRET}\"}")
+TOKEN=$(echo "$TOKEN_RESP" | grep -o '"tenant_access_token":"[^"]*"' | cut -d'"' -f4)
+
+if [ -n "$TOKEN" ]; then
+    # 构造消息内容
+    LOG_CONTENT=$(tail -20 "${LOG_FILE}")
+    MSG_CONTENT=$(jq -n --arg content "✅ 每日零点维护任务执行完成\n\n执行日志：\n\`\`\`\n${LOG_CONTENT}\n\`\`\`" '{text: $content}')
+    
+    # 发送消息
+    curl -s -X POST "https://open.feishu.cn/open-apis/im/v1/messages?receive_id_type=open_id" \
+      -H "Authorization: Bearer ${TOKEN}" \
+      -H "Content-Type: application/json" \
+      -d "{\"receive_id\":\"${RECEIVE_ID}\",\"msg_type\":\"text\",\"content\":\"${MSG_CONTENT}\"}" > /dev/null 2>&1
+fi
+

logs/daily_maintenance_2026-03-05.log

@@ -4,3 +4,27 @@ Step 1: 写入当日记忆文件
 Step 2: 检测新增可封装技能
 ✅ 技能检测完成
 Step 3: Git备份
+[master e04102c] chore: 每日自动备份 2026-03-05
+ 20 files changed, 424 insertions(+), 27 deletions(-)
+ create mode 100755 daily_maintenance.sh
+ create mode 100755 export_11090.sh
+ create mode 100644 export_learning_data.py
+ create mode 100644 logs/daily_maintenance_2026-03-05.log
+ create mode 100644 memory/2026-03-05.md
+ create mode 100644 "output/260126/\350\247\222\350\211\262id_14607_\345\257\274\345\207\272\346\227\266\351\227\264_20260303.xlsx"
+ create mode 100644 "output/260126/\350\247\222\350\211\262id_14607_\345\257\274\345\207\272\346\227\266\351\227\264_20260304.xlsx"
+ create mode 100644 "output/260126/\350\264\246\346\210\267id_11090_\350\247\222\350\211\262id_14781_\345\257\274\345\207\272\346\227\266\351\227\264_20260304.xlsx"
+ create mode 100644 "output/260126/\350\264\246\346\210\267id_2148_\350\247\222\350\211\262id_2895_\345\257\274\345\207\272\346\227\266\351\227\264_20260303.xlsx"
+ create mode 100644 "output/260126/\350\264\246\346\210\267id_5980_\350\247\222\350\211\262id_18999_\345\257\274\345\207\272\346\227\266\351\227\264_20260304.xlsx"
+ create mode 100644 "output/260126/\350\264\246\346\210\267id_5980_\350\247\222\350\211\262id_8456_\345\257\274\345\207\272\346\227\266\351\227\264_20260304.xlsx"
+ create mode 100644 role_14607_learning_behavior.sql
+ create mode 100644 test_account.py
+ create mode 100644 "\350\247\222\350\211\262ID14607\345\255\246\344\271\240\350\241\214\344\270\272\346\225\260\346\215\256.xlsx"
+remote: . Processing 1 references        
+remote: Processed 1 references in total        
+To https://git.valavala.com/ai_member_only/ai_member_xiaoban
+   f6b9998..e04102c  master -> master
+✅ Git备份完成
+Step 4: 检查个人说明文档更新
+✅ 个人文档检查完成
+===== 每日维护任务完成 Thu Mar  5 12:00:02 AM CST 2026 =====

logs/daily_maintenance_2026-03-06.log

@@ -0,0 +1,6 @@
+===== 每日维护任务开始 Fri Mar  6 12:00:01 AM CST 2026 =====
+Step 1: 写入当日记忆文件
+✅ 当日记忆文件更新完成
+Step 2: 检测新增可封装技能
+✅ 技能检测完成
+Step 3: Git备份

memory/2026-03-06.md

@@ -0,0 +1,3 @@
+# 2026-03-06 工作日志
+## 今日完成任务
+- 自动生成：当日操作已记录到 /root/.openclaw/workspace-xiaoban/memory/2026-03-06.md

output/check_mysql_db.sql

@@ -0,0 +1 @@
+show databases;

output/check_mysql_table.sql

@@ -0,0 +1 @@
+show tables like '%order%';

output/check_order_table.sql

@@ -0,0 +1,2 @@
+use vala_order;
+show tables like '%order%';

output/check_table.sql

@@ -0,0 +1 @@
+select table_name from information_schema.tables where table_name like '%order%';

output/check_test_order.sql

@@ -0,0 +1,3 @@
+show databases;
+use vala;
+show tables like '%order%';

output/check_test_order_db.sql

@@ -0,0 +1,2 @@
+use vala_order;
+show tables;

output/check_vala_order.sql

@@ -0,0 +1,2 @@
+use vala;
+show tables like '%order%';

output/gmv_query.sql

@@ -0,0 +1,53 @@
+with daily_gmv as (
+select date(pay_success_date) as pay_date
+                        ,case when sale_channel = 11 then '苹果'
+                                                when sale_channel = 12 then '华为'
+                                                when sale_channel = 13 then '小米'
+                                                when sale_channel = 14 then '荣耀'
+                                                when sale_channel = 15 then '应用宝'
+                                                when sale_channel = 17 then '魅族'
+                                                when sale_channel = 18 then 'VIVO'
+                                                when sale_channel = 19 then 'OPPO'
+                                                when sale_channel = 21 then '学而思'
+                                                when sale_channel = 22 then '讯飞'
+                                                when sale_channel = 23 then '步步高'
+                                                when sale_channel = 24 then '作业帮'
+                                                when sale_channel = 25 then '小度'
+                                                when sale_channel = 26 then '希沃'
+                                                when sale_channel = 27 then '京东方'
+                                                when sale_channel = 41 then '官网'
+                                                else '小程序'
+                                end as sale_channel
+                        ,sum(pay_amount_int)/100 as amount
+from bi_vala_order
+where sale_channel in (11,12,13,14,15,17,18,19,21,22,23,24,25,26,27,41,71)
+and order_status = 3
+and pay_amount_int > 49800
+and pay_success_date >= '2026-03-04' and pay_success_date < '2026-03-05'
+group by pay_success_date
+                                ,case when sale_channel = 11 then '苹果'
+                                                        when sale_channel = 12 then '华为'
+                                                        when sale_channel = 13 then '小米'
+                                                        when sale_channel = 14 then '荣耀'
+                                                        when sale_channel = 15 then '应用宝'
+                                                        when sale_channel = 17 then '魅族'
+                                                        when sale_channel = 18 then 'VIVO'
+                                                        when sale_channel = 19 then 'OPPO'
+                                                        when sale_channel = 21 then '学而思'
+                                                        when sale_channel = 22 then '讯飞'
+                                                        when sale_channel = 23 then '步步高'
+                                                        when sale_channel = 24 then '作业帮'
+                                                        when sale_channel = 25 then '小度'
+                                                        when sale_channel = 26 then '希沃'
+                                                        when sale_channel = 27 then '京东方'
+                                                        when sale_channel = 41 then '官网'
+                                                        else '小程序'
+                                        end
+)
+select 
+    pay_date,
+    sale_channel,
+    amount,
+    round(amount / sum(amount) over (partition by pay_date) * 100, 2) as ratio
+from daily_gmv
+order by amount desc;

output/list_order_tables.sql

@@ -0,0 +1,2 @@
+use vala_order;
+show tables;