From 4ce91f1f5b1a781a824052d465a82c5ce4283d8d Mon Sep 17 00:00:00 2001
From: HuangHai <10402852@qq.com>
Date: Mon, 17 Mar 2025 09:27:45 +0800
Subject: [PATCH] 'commit'

---
 .../Model/__pycache__/biModel.cpython-310.pyc | Bin 3767 -> 2920 bytes
 AI/Text2Sql/Model/biModel.py                  | 187 +++++++-----------
 AI/Text2Sql/Util/PostgreSQLUtil.py            |  86 --------
 .../PostgreSQLUtil.cpython-310.pyc            | Bin 2531 -> 0 bytes
 AI/Text2Sql/__pycache__/app.cpython-310.pyc   | Bin 5729 -> 6623 bytes
 AI/Text2Sql/app.py                            | 187 +++++++++---------
 .../1a38e532-5349-4df2-a61b-8e40f7a7261d.xlsx | Bin 0 -> 6441 bytes
 7 files changed, 162 insertions(+), 298 deletions(-)
 delete mode 100644 AI/Text2Sql/Util/PostgreSQLUtil.py
 delete mode 100644 AI/Text2Sql/Util/__pycache__/PostgreSQLUtil.cpython-310.pyc
 create mode 100644 AI/Text2Sql/static/1a38e532-5349-4df2-a61b-8e40f7a7261d.xlsx

diff --git a/AI/Text2Sql/Model/__pycache__/biModel.cpython-310.pyc b/AI/Text2Sql/Model/__pycache__/biModel.cpython-310.pyc
index eeaa4a4c4842f2644a86e699e0d9f03016ce2134..1cf7b09ef6c6ef90016694de9197a8ebc863ef7e 100644
GIT binary patch
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diff --git a/AI/Text2Sql/Model/biModel.py b/AI/Text2Sql/Model/biModel.py
index 2f085611..d162583f 100644
--- a/AI/Text2Sql/Model/biModel.py
+++ b/AI/Text2Sql/Model/biModel.py
@@ -1,134 +1,87 @@
-from Text2Sql.Util.PostgreSQLUtil import PostgreSQLUtil, postgresql_pool
-
+import asyncpg
 
 # 删除数据
-def delete_question(question_id: str):
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        # 删除 t_bi_question 表中的数据
-        delete_sql = """
-                    DELETE FROM t_bi_question WHERE id = %s
-                    """
-        db.execute_query(delete_sql, (question_id,))
-
+async def delete_question(db: asyncpg.Connection, question_id: str):
+    delete_sql = """
+        DELETE FROM t_bi_question WHERE id = $1
+    """
+    await db.execute(delete_sql, question_id)
 
 # 插入数据
-def insert_question(question_id: str, question: str):
-    # 向 t_bi_question 表插入数据
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        insert_sql = """
-                   INSERT INTO t_bi_question (id,question, state_id, is_system, is_collect)
-                   VALUES (%s,%s, %s, %s, %s)
-               """
-        db.execute_query(insert_sql, (question_id, question, 0, 0, 0))
-
+async def insert_question(db: asyncpg.Connection, question_id: str, question: str):
+    insert_sql = """
+        INSERT INTO t_bi_question (id, question, state_id, is_system, is_collect)
+        VALUES ($1, $2, $3, $4, $5)
+    """
+    await db.execute(insert_sql, question_id, question, 0, 0, 0)
 
 # 修改数据
-'''
-示例:
-# 更新 question 和 state_id 字段
-update_question_by_id(db, question_id=1, question="新的问题描述", state_id=1)
-
-# 只更新 excel_file_name 字段
-update_question_by_id(db, question_id=1, excel_file_name="new_excel.xlsx")
-
-# 只更新 is_collect 字段
-update_question_by_id(db, question_id=1, is_collect=1)
-
-# 不更新任何字段（因为所有参数都是 None）
-update_question_by_id(db, question_id=1, question=None, state_id=None)
-'''
-
-
-def update_question_by_id(question_id: str, **kwargs):
-    """
-    根据主键更新 t_bi_question 表，只更新非 None 的字段
-    :param db: PostgreSQLUtil 实例
-    :param question_id: 主键 id
-    :param kwargs: 需要更新的字段和值
-    :return: 更新是否成功
-    """
-    # 过滤掉值为 None 的字段
+async def update_question_by_id(db: asyncpg.Connection, question_id: str, **kwargs):
     update_fields = {k: v for k, v in kwargs.items() if v is not None}
     if not update_fields:
-        return False  # 没有需要更新的字段
-
-    # 动态构建 SET 子句
-    set_clause = ", ".join([f"{field} = %s" for field in update_fields.keys()])
-
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        # 构建完整 SQL
-        sql = f"""
-            UPDATE t_bi_question
-            SET {set_clause}
-            WHERE id = %s
-        """
-        # 参数列表
-        params = list(update_fields.values()) + [question_id]
-
-        # 执行更新
-        try:
-            db.execute_query(sql, params)
-            return True
-        except Exception as e:
-            print(f"更新失败: {e}")
-            return False
-
-
-# 根据 问题id 查询 sql
-def get_question_by_id(question_id: str):
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        select_sql = """
-                            select * from t_bi_question where id=%s
-                            """
-        _data = db.execute_query(select_sql, (question_id,))
-        return _data
+        return False
 
+    set_clause = ", ".join([f"{field} = ${i+1}" for i, field in enumerate(update_fields.keys())])
+    sql = f"""
+        UPDATE t_bi_question
+        SET {set_clause}
+        WHERE id = ${len(update_fields) + 1}
+    """
+    params = list(update_fields.values()) + [question_id]
+
+    try:
+        await db.execute(sql, *params)
+        return True
+    except Exception as e:
+        print(f"更新失败: {e}")
+        return False
+
+# 根据问题 ID 查询 SQL
+async def get_question_by_id(db: asyncpg.Connection, question_id: str):
+    select_sql = """
+        SELECT * FROM t_bi_question WHERE id = $1
+    """
+    _data = await db.fetch(select_sql, question_id)
+    return _data
 
 # 保存系统推荐
-def set_system_recommend_questions(question_id: str, flag: str):
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        sql = f"""
-                UPDATE t_bi_question
-                SET is_system =%s  WHERE id = %s
-            """
-        # 执行更新
-        try:
-            db.execute_query(sql, int(flag), question_id)
-            return True
-        except Exception as e:
-            print(f"更新失败: {e}")
-            return False
+async def set_system_recommend_questions(db: asyncpg.Connection, question_id: str, flag: str):
+    sql = """
+        UPDATE t_bi_question
+        SET is_system = $1 WHERE id = $2
+    """
+    try:
+        await db.execute(sql, int(flag), question_id)
+        return True
+    except Exception as e:
+        print(f"更新失败: {e}")
+        return False
 
 # 设置用户收藏
-def set_user_collect_questions(question_id: str, flag: str):
-    sql = f"""
-            UPDATE t_bi_question
-            SET is_collect =%s  WHERE id = %s
-        """
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        # 执行更新
-        try:
-            db.execute_query(sql, int(flag), question_id)
-            return True
-        except Exception as e:
-            print(f"更新失败: {e}")
-            return False
-
-# 查询有哪些系统推荐问题
-def get_system_recommend_questions():
+async def set_user_collect_questions(db: asyncpg.Connection, question_id: str, flag: str):
     sql = """
-    SELECT * FROM t_bi_question WHERE is_system = 1
+        UPDATE t_bi_question
+        SET is_collect = $1 WHERE id = $2
     """
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        _data = db.execute_query(sql)
-        return _data
+    try:
+        await db.execute(sql, int(flag), question_id)
+        return True
+    except Exception as e:
+        print(f"更新失败: {e}")
+        return False
+
+# 查询系统推荐问题
+async def get_system_recommend_questions(db: asyncpg.Connection):
+    sql = """
+        SELECT * FROM t_bi_question WHERE is_system = 1
+    """
+    _data = await db.fetch(sql)
+    return _data
 
-# 查询有哪些用户收藏问题
-def get_user_collect_questions():
-    # 从t_bi_question表中获取所有is_collect=1的数据
-    sql="""
-    SELECT * FROM t_bi_question WHERE is_collect = 1
+# 查询用户收藏问题
+async def get_user_collect_questions(db: asyncpg.Connection):
+    sql = """
+        SELECT * FROM t_bi_question WHERE is_collect = 1
     """
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        _data = db.execute_query(sql)
-        return _data
\ No newline at end of file
+    _data = await db.fetch(sql)
+    return _data
\ No newline at end of file
diff --git a/AI/Text2Sql/Util/PostgreSQLUtil.py b/AI/Text2Sql/Util/PostgreSQLUtil.py
deleted file mode 100644
index b45ac52e..00000000
--- a/AI/Text2Sql/Util/PostgreSQLUtil.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import json
-from datetime import date, datetime
-
-import psycopg2
-from psycopg2 import pool
-from psycopg2.extras import RealDictCursor
-from Config import *
-
-# 创建连接池
-postgresql_pool = psycopg2.pool.SimpleConnectionPool(
-    minconn=1,
-    maxconn=10,
-    host=PG_HOST,
-    port=PG_PORT,
-    dbname=PG_DATABASE,
-    user=PG_USER,
-    password=PG_PASSWORD
-)
-
-
-class PostgreSQLUtil:
-    def __init__(self, connection):
-        self.connection = connection
-
-    def __enter__(self):
-        return self
-
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        self.connection.commit()
-        postgresql_pool.putconn(self.connection)
-
-    def execute_query(self, sql, params=None, return_dict=True):
-        """执行查询并返回结果"""
-        try:
-            with self.connection.cursor(
-                    cursor_factory=RealDictCursor if return_dict else None
-            ) as cursor:
-                cursor.execute(sql, params)
-
-                if cursor.description:
-                    columns = [desc[0] for desc in cursor.description]
-                    results = cursor.fetchall()
-
-                    # 转换字典格式
-                    if return_dict:
-                        return results
-                    else:
-                        return [dict(zip(columns, row)) for row in results]
-                else:
-                    return {"rowcount": cursor.rowcount}
-
-        except Exception as e:
-            print(f"执行SQL出错: {e}")
-            self.connection.rollback()
-            raise
-
-
-def get_db():
-    connection = postgresql_pool.getconn()
-    try:
-        yield PostgreSQLUtil(connection)
-    finally:
-        postgresql_pool.putconn(connection)
-
-
-# 使用示例
-if __name__ == "__main__":
-    '''
-    db_gen = get_db()：调用生成器函数，返回生成器对象。
-    db = next(db_gen)：从生成器中获取 PostgreSQLUtil 实例。
-    生成器函数确保连接在使用后正确归还到连接池。
-    '''
-    # 从生成器中获取数据库实例
-    db_gen = get_db()
-    db = next(db_gen)
-    try:
-        # 示例查询
-        result = db.execute_query("SELECT version()")
-        print("数据库版本:", result)
-
-        # 返回JSON
-        json_data = db.query_to_json("SELECT * FROM t_base_class LIMIT 2")
-        print("JSON结果:", json_data)
-    finally:
-        # 手动关闭生成器
-        db_gen.close()
diff --git a/AI/Text2Sql/Util/__pycache__/PostgreSQLUtil.cpython-310.pyc b/AI/Text2Sql/Util/__pycache__/PostgreSQLUtil.cpython-310.pyc
deleted file mode 100644
index 75c3c6a6a4b1c26e57232702cf2b8e4286f07903..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/AI/Text2Sql/__pycache__/app.cpython-310.pyc b/AI/Text2Sql/__pycache__/app.cpython-310.pyc
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diff --git a/AI/Text2Sql/app.py b/AI/Text2Sql/app.py
index c5b9841c..568b9a3a 100644
--- a/AI/Text2Sql/app.py
+++ b/AI/Text2Sql/app.py
@@ -1,13 +1,17 @@
 import json
 import uuid
-
-import uvicorn  # 导入 uvicorn
+from datetime import date, datetime
+from asyncpg.pool import Pool
 from fastapi import FastAPI, Form, Query
-from openai import OpenAI
+from fastapi.staticfiles import StaticFiles
+from contextlib import asynccontextmanager
+from fastapi import FastAPI, Depends
+import asyncpg
+import uvicorn
+from openai import AsyncOpenAI
 from starlette.responses import StreamingResponse
-from starlette.staticfiles import StaticFiles
 
-from Config import MODEL_API_KEY, MODEL_API_URL, QWEN_MODEL_NAME
+from Config import *
 from Model.biModel import *
 from Text2Sql.Util.MarkdownToDocxUtil import markdown_to_docx
 from Text2Sql.Util.SaveToExcel import save_to_excel
@@ -15,22 +19,66 @@ from Text2Sql.Util.VannaUtil import VannaUtil
 
 # 初始化 FastAPI
 app = FastAPI()
-# 配置静态文件目录
 app.mount("/static", StaticFiles(directory="static"), name="static")
 
-# 初始化一次vanna的类
 vn = VannaUtil()
+# 初始化 FastAPI 应用
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    # 启动时初始化连接池
+    app.state.pool = await asyncpg.create_pool(
+        host=PG_HOST,
+        port=PG_PORT,
+        database=PG_DATABASE,
+        user=PG_USER,
+        password=PG_PASSWORD,
+        min_size=1,
+        max_size=10
+    )
+    yield
+    # 关闭时释放连接池
+    await app.state.pool.close()
+
+app = FastAPI(lifespan=lifespan)
+
+# 依赖注入连接池
+async def get_db():
+    async with app.state.pool.acquire() as connection:
+        yield connection
+
+class PostgreSQLUtil:
+    def __init__(self, pool: Pool):
+        self.pool = pool
+
+    async def execute_query(self, sql, params=None):
+        async with self.pool.acquire() as connection:
+            result = await connection.fetch(sql, params)
+            return result
+
+    async def query_to_json(self, sql, params=None):
+        data = await self.execute_query(sql, params)
+        return json.dumps(data, default=self.json_serializer)
+
+    @staticmethod
+    def json_serializer(obj):
+        """处理JSON无法序列化的类型"""
+        if isinstance(obj, (date, datetime)):
+            return obj.isoformat()
+        raise TypeError(f"Type {type(obj)} not serializable")
+
+async def create_pool():
+    return await asyncpg.create_pool(
+        host=PG_HOST,
+        port=PG_PORT,
+        database=PG_DATABASE,
+        user=PG_USER,
+        password=PG_PASSWORD,
+        min_size=1,
+        max_size=10
+    )
 
-
-@app.get("/")
-def read_root():
-    return {"message": "Welcome to AI SQL World!"}
-
-
-# 通过语义生成Excel
-# http://10.10.21.20:8000/questions/get_excel
 @app.post("/questions/get_excel")
-def get_excel(question_id: str = Form(...), question_str: str = Form(...)):
+async def get_excel(question_id: str = Form(...), question_str: str = Form(...), db: asyncpg.Connection = Depends(get_db)):
     # 只接受guid号
     if len(question_id) != 36:
         return {"success": False, "message": "question_id格式错误"}
@@ -43,34 +91,40 @@ def get_excel(question_id: str = Form(...), question_str: str = Form(...)):
     question = question_str + common_prompt
 
     # 先删除后插入,防止重复插入
-    delete_question(question_id)
-    insert_question(question_id, question)
+    await delete_question(db, question_id)
+    await insert_question(db, question_id, question)
 
     # 获取完整 SQL
     sql = vn.generate_sql(question)
     print("生成的查询 SQL:\n", sql)
 
     # 更新question_id
-    update_question_by_id(question_id=question_id, sql=sql, state_id=1)
+    await update_question_by_id(db, question_id=question_id, sql=sql, state_id=1)
 
     # 执行SQL查询
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        _data = db.execute_query(sql)
+    _data = await db.fetch(sql)
     # 在static目录下，生成一个guid号的临时文件
     uuid_str = str(uuid.uuid4())
     filename = f"static/{uuid_str}.xlsx"
     save_to_excel(_data, filename)
     # 更新EXCEL文件名称
-    update_question_by_id(question_id, excel_file_name=filename)
+    await update_question_by_id(db, question_id, excel_file_name=filename)
     # 返回静态文件URL
     return {"success": True, "message": "Excel文件生成成功", "download_url": f"/static/{uuid_str}.xlsx"}
 
 
 # http://10.10.21.20:8000/questions/get_docx_stream?question_id_get=af15d834-e7f5-46b4-a0f6-15f1f888f443
+# 初始化 OpenAI 客户端
+client = AsyncOpenAI(
+    api_key=MODEL_API_KEY,
+    base_url=MODEL_API_URL,
+)
+
 @app.api_route("/questions/get_docx_stream", methods=["POST", "GET"])
 async def get_docx_stream(
         question_id: str = Form(None, description="问题ID（POST请求）"),  # POST 请求参数
-        question_id_get: str = Query(None, description="问题ID（GET请求）")  # GET 请求参数
+        question_id_get: str = Query(None, description="问题ID（GET请求）"),  # GET 请求参数
+        db: asyncpg.Connection = Depends(get_db)
 ):
     # 根据请求方式获取 question_id
     if question_id is not None:  # POST 请求
@@ -81,8 +135,9 @@ async def get_docx_stream(
         return {"success": False, "message": "缺少问题ID参数"}
 
     # 根据问题ID获取查询sql
-    sql = get_question_by_id(question_id)[0]['sql']
-    # 4、生成word报告
+    sql = (await db.fetch("SELECT * FROM t_bi_question WHERE id = $1", question_id))[0]['sql']
+
+    # 生成word报告
     prompt = '''
     请根据以下 JSON 数据，整理出2000字左右的话描述当前数据情况。要求：
     1、以Markdown格式返回，我将直接通过markdown格式生成Word。
@@ -91,19 +146,15 @@ async def get_docx_stream(
     4、尽量以条目列出，这样更清晰
     5、数据：
     '''
-    with PostgreSQLUtil(postgresql_pool.getconn()) as db:
-        _data = db.execute_query(sql)
-    prompt = prompt + json.dumps(_data, ensure_ascii=False)
-
-    # 初始化 OpenAI 客户端
-    client = OpenAI(
-        api_key=MODEL_API_KEY,
-        base_url=MODEL_API_URL,
-    )
+    _data = await db.fetch(sql)
+    #print(_data)
+    # 将 asyncpg.Record 转换为 JSON 格式
+    json_data = json.dumps([dict(record) for record in _data], ensure_ascii=False)
+    print(json_data)  # 打印 JSON 数据
+    prompt = prompt + json.dumps(json_data, ensure_ascii=False)
 
     # 调用 OpenAI API 生成总结（流式输出）
-    response = client.chat.completions.create(
-        #model=MODEL_NAME,
+    response = await client.chat.completions.create(
         model=QWEN_MODEL_NAME,
         messages=[
             {"role": "system", "content": "你是一个数据分析助手，擅长从 JSON 数据中提取关键信息并生成详细的总结。"},
@@ -122,7 +173,7 @@ async def get_docx_stream(
     async def generate_stream():
         summary = ""
         try:
-            for chunk in response:
+            async for chunk in response:  # 使用 async for 处理流式响应
                 if chunk.choices[0].delta.content:  # 检查是否有内容
                     chunk_content = chunk.choices[0].delta.content
                     # 逐字拆分并返回
@@ -135,7 +186,7 @@ async def get_docx_stream(
             markdown_to_docx(summary, output_file=filename)
 
             # 记录到数据库
-            update_question_by_id(question_id, docx_file_name=filename)
+            await db.execute("UPDATE t_bi_question SET docx_file_name = $1 WHERE id = $2", filename, question_id)
 
         except Exception as e:
             # 如果发生异常，返回错误信息
@@ -149,7 +200,7 @@ async def get_docx_stream(
         finally:
             # 确保资源释放
             if "response" in locals():
-                response.close()
+                await response.aclose()
 
     # 使用 StreamingResponse 返回流式结果
     return StreamingResponse(
@@ -164,60 +215,6 @@ async def get_docx_stream(
         }
     )
 
-
-# 返回生成的Word文件下载地址
-# http://10.10.21.20:8000/questions/get_docx_file?question_id_get=af15d834-e7f5-46b4-a0f6-15f1f888f443
-@app.api_route("/questions/get_docx_file", methods=["POST", "GET"])
-async def get_docx_file(
-        question_id: str = Form(None, description="问题ID（POST请求）"),  # POST 请求参数
-        question_id_get: str = Query(None, description="问题ID（GET请求）"),  # GET 请求参数
-):
-    # 根据请求方式获取 question_id
-    if question_id is not None:  # POST 请求
-        question_id = question_id
-    elif question_id_get is not None:  # GET 请求
-        question_id = question_id_get
-    else:
-        return {"success": False, "message": "缺少问题ID参数"}
-
-    # 根据问题ID获取查询docx_file_name
-    docx_file_name = get_question_by_id(question_id)[0]['docx_file_name']
-
-    # 返回成功和静态文件的URL
-    return {"success": True, "message": "Word文件生成成功", "download_url": f"{docx_file_name}"}
-
-
-# 设置问题为系统推荐问题 ,0:取消，1：设置
-@app.post("/questions/set_system_recommend")
-def set_system_recommend(question_id: str = Form(...), flag: str = Form(...)):
-    set_system_recommend_questions(question_id, flag)
-    # 提示保存成功
-    return {"success": True, "message": "保存成功"}
-
-# 设置问题为用户收藏问题 ,0:取消，1：设置
-@app.post("/questions/set_user_collect")
-def set_user_collect(question_id: str = Form(...), flag: str = Form(...)):
-    set_user_collect_questions(question_id, flag)
-    # 提示保存成功
-    return {"success": True, "message": "保存成功"}
-
-# 查询有哪些系统推荐问题
-@app.get("/questions/get_system_recommend")
-def get_system_recommend():
-    # 查询所有系统推荐问题
-    system_recommend_questions = get_system_recommend_questions()
-    # 返回查询结果
-    return {"success": True, "data": system_recommend_questions}
-
-# 查询有哪些用户收藏问题
-@app.get("/questions/get_user_collect")
-def get_user_collect():
-    # 查询所有用户收藏问题
-    user_collect_questions = get_user_collect_questions()
-    # 返回查询结果
-    return {"success": True, "data": user_collect_questions}
-
-
-# 确保直接运行脚本时启动 FastAPI 应用
+# 启动 FastAPI
 if __name__ == "__main__":
-    uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True)
+    uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True)
\ No newline at end of file
diff --git a/AI/Text2Sql/static/1a38e532-5349-4df2-a61b-8e40f7a7261d.xlsx b/AI/Text2Sql/static/1a38e532-5349-4df2-a61b-8e40f7a7261d.xlsx
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