QingLong/AI/WxMini/Utils/MySQLUtil.py

import logging
from aiomysql import create_pool
from WxMini.Milvus.Config.MulvusConfig import *

# 配置日志
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger(__name__)

# MySQL 配置
MYSQL_CONFIG = {
    "host": MYSQL_HOST,
    "port": MYSQL_PORT,
    "user": MYSQL_USER,
    "password": MYSQL_PASSWORD,
    "db": MYSQL_DB_NAME,
    "minsize": 1,
    "maxsize": 20,
}


# 初始化 MySQL 连接池
async def init_mysql_pool():
    return await create_pool(**MYSQL_CONFIG)


# 保存聊天记录到 MySQL
async def save_chat_to_mysql(mysql_pool, session_id, prompt, result, audio_url, duration):
    async with mysql_pool.acquire() as conn:
        async with conn.cursor() as cur:
            await cur.execute(
                "INSERT INTO t_chat_log (session_id, user_input, model_response,audio_url,duration,create_time) VALUES (%s, %s, %s, %s, %s,NOW())",
                (session_id, prompt, result, audio_url, duration)
            )
            await conn.commit()
            logger.info("用户输入和大模型反馈已记录到 MySQL 数据库。")


# 清空表
async def truncate_chat_log(mysql_pool):
    async with mysql_pool.acquire() as conn:
        async with conn.cursor() as cur:
            await cur.execute("TRUNCATE TABLE t_chat_log")
            await conn.commit()
            logger.info("表 t_chat_log 已清空。")


# 分页查询聊天记录
async def get_chat_log_by_session(mysql_pool, session_id, page=1, page_size=10):
    """
    根据 session_id 查询聊天记录，并按 id 降序分页
    :param session_id: 用户会话 ID
    :param page: 当前页码
    :param page_size: 每页记录数
    :return: 分页数据
    """
    if not mysql_pool:
        raise ValueError("MySQL 连接池未初始化")

    offset = (page - 1) * page_size
    async with mysql_pool.acquire() as conn:
        async with conn.cursor() as cur:
            # 查询总记录数
            await cur.execute(
                "SELECT COUNT(*) FROM t_chat_log WHERE session_id = %s",
                (session_id,)
            )
            total = (await cur.fetchone())[0]

            # 查询分页数据
            await cur.execute(
                "SELECT id, session_id, user_input, model_response, audio_url, duration, create_time "
                "FROM t_chat_log WHERE session_id = %s ORDER BY id DESC LIMIT %s OFFSET %s",
                (session_id, page_size, offset)
            )
            records = await cur.fetchall()

            # 将查询结果转换为字典列表
            result = [
                {
                    "id": record[0],
                    "session_id": record[1],
                    "user_input": record[2],
                    "model_response": record[3],
                    "audio_url": record[4],
                    "duration": record[5],
                    "create_time": record[6].strftime("%Y-%m-%d %H:%M:%S")
                }
                for record in records
            ]

            return {
                "data": result,
                "total": total,
                "page": page,
                "page_size": page_size
            }


# 更新为危险的记录
async def update_risk(mysql_pool, session_id, risk_memo):
    async with mysql_pool.acquire() as conn:
        async with conn.cursor() as cur:
            # 1. 获取此人员的最后一条记录 id
            await cur.execute(
                "SELECT id FROM t_chat_log WHERE session_id = %s ORDER BY id DESC LIMIT 1",
                (session_id,)
            )
            result = await cur.fetchone()

            if result:
                last_id = result[0]
                # 2. 更新 risk_flag 和 risk_memo
                await cur.execute(
                    "UPDATE t_chat_log SET risk_flag = 1, risk_memo = %s WHERE id = %s",
                    (risk_memo.replace('\n', '').replace("NO", ""), last_id)
                )
                await conn.commit()
                print(f"已更新 session_id={session_id} 的最后一条记录 (id={last_id}) 的 risk_flag 和 risk_memo。")
            else:
                print(f"未找到 session_id={session_id} 的记录。")


async def get_risk_chat_log_page(mysql_pool, risk_flag, page=1, page_size=10):
    """
    查询有风险的聊天记录，并按 id 降序分页
    :param mysql_pool: MySQL 连接池
    :param risk_flag: 风险标志
    :param page: 当前页码
    :param page_size: 每页记录数
    :return: 分页数据
    """
    offset = (page - 1) * page_size
    async with mysql_pool.acquire() as conn:
        async with conn.cursor() as cur:
            # 查询总记录数
            await cur.execute(
                "SELECT COUNT(*) FROM t_chat_log WHERE risk_flag = %s", (risk_flag,)
            )
            total = (await cur.fetchone())[0]
            print(f"总记录数: {total}")

            # 查询分页数据
            query = (
                "SELECT id, session_id, user_input, model_response, audio_url, duration, create_time, risk_memo "
                "FROM t_chat_log WHERE risk_flag = %s ORDER BY id DESC LIMIT %s OFFSET %s"
            )
            params = (risk_flag, page_size, offset)
            print(f"执行查询: {query % params}")  # 打印 SQL 查询

            await cur.execute(query, params)
            records = await cur.fetchall()
            print(f"查询结果: {records}")  # 打印查询结果

            # 将查询结果转换为字典列表
            result = [
                {
                    "id": record[0],
                    "session_id": record[1],
                    "user_input": record[2],
                    "model_response": record[3],
                    "audio_url": record[4],
                    "duration": record[5],
                    "create_time": record[6].strftime("%Y-%m-%d %H:%M:%S"),
                    "risk_memo": record[7]
                }
                for record in records
            ]

            return {
                "data": result,
                "total": total,
                "page": page,
                "page_size": page_size
            }