'commit'

AI/WxMini/Sql/t_chat_log.sql

@@ -1,11 +1,37 @@
+/*
+ Navicat Premium Dump SQL
+
+ Source Server         : 10.10.14.210
+ Source Server Type    : MySQL
+ Source Server Version : 50742 (5.7.42-log)
+ Source Host           : 10.10.14.210:22066
+ Source Schema         : ai_db
+
+ Target Server Type    : MySQL
+ Target Server Version : 50742 (5.7.42-log)
+ File Encoding         : 65001
+
+ Date: 25/03/2025 10:03:37
+*/
+
+SET NAMES utf8mb4;
+SET FOREIGN_KEY_CHECKS = 0;
+
+-- ----------------------------
+-- Table structure for t_chat_log
+-- ----------------------------
 DROP TABLE IF EXISTS `t_chat_log`;
 CREATE TABLE `t_chat_log`  (
   `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
   `session_id` char(36) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '用户人员编号',
   `user_input` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '用户提出的问题',
   `model_response` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '大模型的反馈',
+  `audio_url` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '生成的语音文件路径',
+  `duration` double NULL DEFAULT 0 COMMENT '音频时长，单位：秒',
   `create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
   PRIMARY KEY (`id`) USING BTREE,
-  INDEX `idx_session_id` (`session_id`) USING BTREE,
-  INDEX `idx_create_time` (`create_time`) USING BTREE
-) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;
+  INDEX `idx_session_id`(`session_id`) USING BTREE,
+  INDEX `idx_create_time`(`create_time`) USING BTREE
+) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = DYNAMIC;
+
+SET FOREIGN_KEY_CHECKS = 1;

AI/WxMini/Start.py

@@ -4,7 +4,7 @@ import time
 import uuid
 from contextlib import asynccontextmanager
 
-from fastapi import FastAPI, Form, HTTPException
+from fastapi import FastAPI, Form, HTTPException, Query
 from openai import AsyncOpenAI
 
 from WxMini.Milvus.Config.MulvusConfig import *
@@ -12,7 +12,7 @@ from WxMini.Milvus.Utils.MilvusCollectionManager import MilvusCollectionManager
 from WxMini.Milvus.Utils.MilvusConnectionPool import *
 from WxMini.Utils.OssUtil import upload_mp3_to_oss_from_memory
 from WxMini.Utils.TtsUtil import TTS
-from WxMini.Utils.MySQLUtil import init_mysql_pool, save_chat_to_mysql
+from WxMini.Utils.MySQLUtil import init_mysql_pool, save_chat_to_mysql, get_chat_log_by_session
 from WxMini.Utils.EmbeddingUtil import text_to_embedding
 
 # 配置日志
@@ -178,6 +178,28 @@ async def reply(session_id: str = Form(...), prompt: str = Form(...)):
         # 释放连接
         milvus_pool.release_connection(connection)
 
+
+# 获取聊天记录
+@app.get("/get_chat_log")
+async def get_chat_log(
+    session_id: str,
+    page: int = Query(default=1, ge=1, description="当前页码"),
+    page_size: int = Query(default=10, ge=1, le=100, description="每页记录数")
+):
+    """
+    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
+    """
+    try:
+        result = await get_chat_log_by_session(app.state.mysql_pool,session_id, page, page_size)
+        return result
+    except Exception as e:
+        logger.error(f"查询聊天记录失败: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"查询聊天记录失败: {str(e)}")
+
 # 运行 FastAPI 应用
 if __name__ == "__main__":
     import uvicorn

AI/WxMini/Utils/MySQLUtil.py

@@ -41,4 +41,55 @@ async def truncate_chat_log(mysql_pool):
         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。")
+            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
+            }