聊天记录统计功能
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7
message_report/db_init.sql
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7
message_report/db_init.sql
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CREATE TABLE IF NOT EXISTS speech_counts (
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group_id TEXT,
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wx_id TEXT,
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date TEXT,
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count INTEGER,
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PRIMARY KEY (group_id, wx_id, date)
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)
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BIN
message_report/message_stats.db
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BIN
message_report/message_stats.db
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Binary file not shown.
28
message_report/process_message.py
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28
message_report/process_message.py
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import redis
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from datetime import datetime
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import re
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# 连接到Redis
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r = redis.Redis(host='192.168.2.32', port=6379, db=0)
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def process_message(message):
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# 示例message字符串
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# 使用正则表达式提取用户名称和聊天室标识
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user_info_regex = re.compile(r"(\w+)\[([^\]]+)\]")
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match = user_info_regex.search(message)
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if match:
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user_name = match.group(1)
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chatroom_id = match.group(2)
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print(f"用户名称: {user_name}")
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print(f"聊天室标识: {chatroom_id}")
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current_date = datetime.now().strftime('%Y-%m-%d')
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# 生成Redis key
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key = f"{chatroom_id}:{user_name}:{current_date}:count"
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# 使用Redis哈希(或字符串)增加发言次数
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print(key)
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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
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# 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
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else:
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print("Failed to extract user name or chatroom ID.")
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71
message_report/write_db.py
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71
message_report/write_db.py
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import schedule
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import time
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import sqlite3
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from datetime import datetime, timedelta
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import redis
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# 连接到Redis
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r = redis.Redis(host='192.168.2.32', port=6379, db=0)
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def write_to_db():
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# 连接到SQLite数据库
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conn = sqlite3.connect('message_stats.db')
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c = conn.cursor()
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# 创建表(如果不存在)
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c.execute('''CREATE TABLE IF NOT EXISTS speech_counts (
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group_id TEXT,
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wx_id TEXT,
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date TEXT,
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count INTEGER,
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PRIMARY KEY (group_id, wx_id, date)
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)''')
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# 获取当前日期的前一天
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yesterday = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
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# 遍历Redis中所有与昨天日期相关的key,并写入数据库
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for key in r.keys(f"*:*:{yesterday}:count"):
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parts = key.decode('utf-8').split(':')
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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
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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
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# 插入或更新数据库记录
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c.execute("INSERT OR REPLACE INTO speech_counts (group_id, wx_id, date, count) VALUES (?, ?, ?, ?)",
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(group_id, wx_id, yesterday, count))
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conn.commit()
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conn.close()
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def generate_and_send_ranking():
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# 连接到SQLite数据库(假设数据库文件名为database.db)
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conn = sqlite3.connect('database.db')
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cursor = conn.cursor()
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# 编写SQL查询来获取发言数量前20的用户
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query = """
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SELECT group_id,wx_id, COUNT(*) AS speech_count
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FROM speech_counts
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WHERE DATE(date) = DATE('now', '-1 day')
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GROUP BY group_id,wx_id
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ORDER BY count DESC
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LIMIT 20
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"""
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# 执行查询并获取结果
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cursor.execute(query)
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results = cursor.fetchall()
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# 格式化输出字符串
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ranking_str = "发言数量前20的用户排名:\n"
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for rank, (username, speech_count) in enumerate(results, start=1):
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ranking_str += f"{rank}. {username}: {speech_count} 次发言\n"
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# 关闭数据库连接
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conn.close()
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# 这里我们没有实际“发送”排名,只是返回字符串
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# 如果需要发送,可以在此添加发送逻辑
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return ranking_str
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17
robot.py
17
robot.py
@@ -25,6 +25,9 @@ from job_mgmt import Job
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__version__ = "39.2.4.0"
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from message_report.process_message import process_message
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from message_report.write_db import write_to_db, generate_and_send_ranking
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class Robot(Job):
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"""个性化自己的机器人
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@@ -148,6 +151,13 @@ class Robot(Job):
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# 群聊消息
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if msg.from_group():
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# 调用统计逻辑进行聊天数据统计:
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try:
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process_message(msg)
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except Exception as e:
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self.LOG.error(f"process_message error: {e}")
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# 如果在群里被 @
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if msg.roomid not in self.config.GROUPS: # 不在配置的响应的群列表里,忽略
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return
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@@ -306,3 +316,10 @@ class Robot(Job):
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for r in receivers:
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self.sendTextMsg(games, r)
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def messageCountToDB(self):
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write_to_db()
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def generateAndSendRanking(self):
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generate_and_send_ranking()
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