feat: add daily learning summary script with cron task

- Create scripts/daily_learning.sh for daily chat review
- Set up cron task at 3 AM daily
- Log file: logs/daily_learning.log
- Learning records: memory/daily_learning.md

scripts/daily_learning.sh

@@ -0,0 +1,114 @@
+#!/bin/bash
+# 每日学习总结脚本
+# 每天凌晨3点执行，回顾当天聊天内容，总结学习记录
+
+LOG_FILE="/root/.openclaw/workspace-assistant/logs/daily_learning.log"
+MEMORY_FILE="/root/.openclaw/workspace-assistant/memory/daily_learning.md"
+SESSION_FILE="/root/.openclaw/agents/dingtalk-assistant/sessions/e89452e7-59d0-46a3-9dec-983cb7863ac5.jsonl"
+
+echo "=== $(date '+%Y-%m-%d %H:%M:%S') 每日学习总结开始 ===" >> "$LOG_FILE"
+
+# 提取聊天记录中的关键内容
+python3 << 'PYEOF' >> "$LOG_FILE"
+import sys
+import json
+from datetime import datetime, timezone, timedelta
+
+LOG_FILE = "/root/.openclaw/workspace-assistant/logs/daily_learning.log"
+SESSION_FILE = "/root/.openclaw/agents/dingtalk-assistant/sessions/e89452e7-59d0-46a3-9dec-983cb7863ac5.jsonl"
+
+# 北京时区
+bj_tz = timezone(timedelta(hours=8))
+# 计算24小时前的时间
+one_day_ago = datetime.now(bj_tz).timestamp() - 86400
+
+messages = []
+try:
+    with open(SESSION_FILE, 'r') as f:
+        for line in f:
+            try:
+                obj = json.loads(line.strip())
+                if obj.get('type') == 'message' and obj.get('timestamp'):
+                    ts_str = obj.get('timestamp', '')
+                    try:
+                        if 'T' in ts_str:
+                            ts = datetime.fromisoformat(ts_str.replace('Z', '+00:00')).timestamp()
+                        else:
+                            ts = float(ts_str)
+                    except:
+                        continue
+                    
+                    if ts > one_day_ago:
+                        msg = obj.get('message', {})
+                        role = msg.get('role', '')
+                        content = msg.get('content', [])
+                        if isinstance(content, list):
+                            for c in content:
+                                if isinstance(c, dict) and c.get('type') == 'text':
+                                    text = c.get('text', '')[:500]
+                                    if text:
+                                        if 'HEARTBEAT_OK' not in text and 'System:' not in text[:50] and 'Exec completed' not in text[:50] and 'conversation' not in text[:50].lower():
+                                            messages.append(f'[{role}] {text[:300]}')
+            except:
+                pass
+except Exception as e:
+    print(f"Error: {e}")
+
+# 去重
+seen = set()
+unique_messages = []
+for m in messages:
+    key = m[:100]
+    if key not in seen:
+        seen.add(key)
+        unique_messages.append(m)
+
+if not unique_messages:
+    print("没有发现新的聊天内容")
+else:
+    print(f"发现 {len(unique_messages)} 条消息")
+    
+    # 检测关键主题
+    topics = []
+    keywords = ['mcp', 'api', 'skill', '脚本', '配置', '钉钉', '邮件', '日程', '日历', '语音', 'whisper', 'tts', '日志', '周报', '待办', '文档', '审批']
+    
+    for m in unique_messages:
+        lower = m.lower()
+        for kw in keywords:
+            if kw in lower and kw not in topics:
+                topics.append(kw)
+    
+    today = datetime.now().strftime('%Y-%m-%d')
+    
+    summary = f"""
+## 每日学习总结 - {today}
+
+### 涉及的主题
+{', '.join(topics) if topics else '无特定主题'}
+
+### 关键对话记录
+"""
+    for m in unique_messages[:50]:
+        summary += m[:200] + "\n\n"
+    
+    # 输出到日志
+    print(summary)
+    
+    # 保存到记忆文件
+    MEMORY_FILE = "/root/.openclaw/workspace-assistant/memory/daily_learning.md"
+    try:
+        with open(MEMORY_FILE, 'r') as f:
+            existing = f.read()
+    except:
+        existing = ''
+    
+    if today not in existing:
+        with open(MEMORY_FILE, 'a') as f:
+            f.write('\n' + summary)
+        print("\n已更新学习记录")
+    else:
+        print("\n今日已记录，跳过")
+PYEOF
+
+echo "=== 完成 ===" >> "$LOG_FILE"
+echo "完成！"