diff --git a/message_report/db_init.sql b/message_report/db_init.sql
new file mode 100644
index 0000000..19c27cb
--- /dev/null
+++ b/message_report/db_init.sql
@@ -0,0 +1,7 @@
+CREATE TABLE IF NOT EXISTS speech_counts (
+                    group_id TEXT,
+                    wx_id TEXT,
+                    date TEXT,
+                    count INTEGER,
+                    PRIMARY KEY (group_id, wx_id, date)
+                )
\ No newline at end of file
diff --git a/message_report/message_stats.db b/message_report/message_stats.db
new file mode 100644
index 0000000..8fd57fe
Binary files /dev/null and b/message_report/message_stats.db differ
diff --git a/message_report/process_message.py b/message_report/process_message.py
new file mode 100644
index 0000000..4bbfc03
--- /dev/null
+++ b/message_report/process_message.py
@@ -0,0 +1,28 @@
+import redis
+from datetime import datetime
+import re
+# 连接到Redis
+r = redis.Redis(host='192.168.2.32', port=6379, db=0)
+
+
+def process_message(message):
+    # 示例message字符串
+
+    # 使用正则表达式提取用户名称和聊天室标识
+    user_info_regex = re.compile(r"(\w+)\[([^\]]+)\]")
+    match = user_info_regex.search(message)
+    if match:
+        user_name = match.group(1)
+        chatroom_id = match.group(2)
+        print(f"用户名称: {user_name}")
+        print(f"聊天室标识: {chatroom_id}")
+        current_date = datetime.now().strftime('%Y-%m-%d')
+        # 生成Redis key
+        key = f"{chatroom_id}:{user_name}:{current_date}:count"
+        # 使用Redis哈希（或字符串）增加发言次数
+        print(key)
+        r.hincrby(key, 'count', 1)  # 这里使用哈希，但也可以考虑用字符串的INCR操作
+        # 或者使用字符串：r.incr(key)  # 如果只存储一个整数值，字符串类型可能更简单
+    else:
+        print("Failed to extract user name or chatroom ID.")
+
diff --git a/message_report/write_db.py b/message_report/write_db.py
new file mode 100644
index 0000000..54ad1d9
--- /dev/null
+++ b/message_report/write_db.py
@@ -0,0 +1,71 @@
+import schedule
+import time
+import sqlite3
+from datetime import datetime, timedelta
+import redis
+# 连接到Redis
+r = redis.Redis(host='192.168.2.32', port=6379, db=0)
+
+def write_to_db():
+    # 连接到SQLite数据库
+    conn = sqlite3.connect('message_stats.db')
+    c = conn.cursor()
+
+    # 创建表（如果不存在）
+    c.execute('''CREATE TABLE IF NOT EXISTS speech_counts (
+                    group_id TEXT,
+                    wx_id TEXT,
+                    date TEXT,
+                    count INTEGER,
+                    PRIMARY KEY (group_id, wx_id, date)
+                )''')
+
+    # 获取当前日期的前一天
+    yesterday = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
+
+    # 遍历Redis中所有与昨天日期相关的key，并写入数据库
+    for key in r.keys(f"*:*:{yesterday}:count"):
+        parts = key.decode('utf-8').split(':')
+        group_id, wx_id, _date = parts[0], parts[1], parts[2]  # _date应该是yesterday，但这里为了完整性还是保留
+        count = int(r.hget(key, 'count')) if isinstance(r.hget(key, 'count'), bytes) else 0  # 处理可能的None或空值情况
+
+        # 插入或更新数据库记录
+        c.execute("INSERT OR REPLACE INTO speech_counts (group_id, wx_id, date, count) VALUES (?, ?, ?, ?)",
+                  (group_id, wx_id, yesterday, count))
+
+    conn.commit()
+    conn.close()
+
+
+def generate_and_send_ranking():
+    # 连接到SQLite数据库（假设数据库文件名为database.db）
+    conn = sqlite3.connect('database.db')
+    cursor = conn.cursor()
+
+    # 编写SQL查询来获取发言数量前20的用户
+    query = """
+        SELECT group_id,wx_id, COUNT(*) AS speech_count
+      FROM speech_counts
+      WHERE DATE(date) = DATE('now', '-1 day')
+      GROUP BY group_id,wx_id
+      ORDER BY count DESC
+      LIMIT 20
+      """
+
+    # 执行查询并获取结果
+    cursor.execute(query)
+    results = cursor.fetchall()
+
+    # 格式化输出字符串
+    ranking_str = "发言数量前20的用户排名:\n"
+    for rank, (username, speech_count) in enumerate(results, start=1):
+        ranking_str += f"{rank}. {username}: {speech_count} 次发言\n"
+
+    # 关闭数据库连接
+    conn.close()
+
+    # 这里我们没有实际“发送”排名，只是返回字符串
+    # 如果需要发送，可以在此添加发送逻辑
+    return ranking_str
+
+
diff --git a/robot.py b/robot.py
index 3038fc5..3e312cb 100644
--- a/robot.py
+++ b/robot.py
@@ -25,6 +25,9 @@ from job_mgmt import Job
 
 __version__ = "39.2.4.0"
 
+from message_report.process_message import process_message
+from message_report.write_db import write_to_db, generate_and_send_ranking
+
 
 class Robot(Job):
     """个性化自己的机器人
@@ -148,6 +151,13 @@ class Robot(Job):
 
         # 群聊消息
         if msg.from_group():
+
+            # 调用统计逻辑进行聊天数据统计：
+            try:
+                process_message(msg)
+            except Exception as e:
+                self.LOG.error(f"process_message error: {e}")
+
             # 如果在群里被 @
             if msg.roomid not in self.config.GROUPS:  # 不在配置的响应的群列表里，忽略
                 return
@@ -306,3 +316,10 @@ class Robot(Job):
             for r in receivers:
                 self.sendTextMsg(games, r)
 
+
+
+    def messageCountToDB(self):
+        write_to_db()
+
+    def generateAndSendRanking(self):
+        generate_and_send_ranking()