diff --git a/AI/Text2Sql/Model/__pycache__/biModel.cpython-310.pyc b/AI/Text2Sql/Model/__pycache__/biModel.cpython-310.pyc
index 4c4601c5..89f959b3 100644
Binary files a/AI/Text2Sql/Model/__pycache__/biModel.cpython-310.pyc and b/AI/Text2Sql/Model/__pycache__/biModel.cpython-310.pyc differ
diff --git a/AI/Text2Sql/Model/biModel.py b/AI/Text2Sql/Model/biModel.py
index 2fc3e79b..e9d615b5 100644
--- a/AI/Text2Sql/Model/biModel.py
+++ b/AI/Text2Sql/Model/biModel.py
@@ -48,11 +48,13 @@ async def get_question_by_id(db: asyncpg.Connection, question_id: str):
     _data = await db.fetch(select_sql, question_id)
     return _data
 
+
 # 根据 SQL 查询数据
 async def get_data_by_sql(db: asyncpg.Connection, sql: str):
     _data = await db.fetch(sql)
     return _data
 
+
 # 保存系统推荐
 async def set_system_recommend_questions(db: asyncpg.Connection, question_id: str, flag: str):
     sql = """
@@ -82,21 +84,45 @@ async def set_user_collect_questions(db: asyncpg.Connection, question_id: str, f
 
 
 # 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
+async def get_system_recommend_questions(db: asyncpg.Connection, offset: int, limit: int):
+    query = """
+        SELECT *
+        FROM t_bi_question where is_system=1  ORDER BY id DESC  LIMIT $1 OFFSET $2;
     """
-    _data = await db.fetch(sql)
-    return _data
+    return await db.fetch(query, limit, offset)
 
 
-# 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
+async def get_system_recommend_questions_count(db: asyncpg.Connection):
+    query = """
+        SELECT COUNT(*)
+        FROM t_bi_question where is_system=1;
     """
-    _data = await db.fetch(sql)
-    return _data
+    return await db.fetchval(query)
+
+
+async def get_user_publish_questions(db: asyncpg.Connection, type_id: int, offset: int, limit: int):
+    # 基础查询
+    query = """
+        SELECT *
+        FROM t_bi_question
+    """
+
+    # 根据 type_id 动态添加 WHERE 条件
+    if type_id == 1:
+        query += " WHERE is_collect = 1"
+
+    # 添加排序和分页
+    query += " ORDER BY id DESC LIMIT $1 OFFSET $2;"
+
+    # 执行查询
+    return await db.fetch(query, limit, offset)
+
+
+async def get_user_publish_questions_count(db: asyncpg.Connection):
+    query = """
+        SELECT COUNT(*) FROM t_bi_question;
+    """
+    return await db.fetchval(query)
 
 
 # 获取数据集的字段名称
diff --git a/AI/Text2Sql/__pycache__/app.cpython-310.pyc b/AI/Text2Sql/__pycache__/app.cpython-310.pyc
index 8e51a993..7ea2669c 100644
Binary files a/AI/Text2Sql/__pycache__/app.cpython-310.pyc and b/AI/Text2Sql/__pycache__/app.cpython-310.pyc differ
diff --git a/AI/Text2Sql/app.py b/AI/Text2Sql/app.py
index 4bad420a..ec60ef91 100644
--- a/AI/Text2Sql/app.py
+++ b/AI/Text2Sql/app.py
@@ -59,12 +59,14 @@ async def get_db():
     async with app.state.pool.acquire() as connection:
         yield connection
 
+
 # 初始化 OpenAI 客户端
 client = AsyncOpenAI(
     api_key=MODEL_API_KEY,
     base_url=MODEL_API_URL,
 )
 
+
 @app.post("/questions/get_excel")
 async def get_excel(question_id: str = Form(...), question_str: str = Form(...),
                     db: asyncpg.Connection = Depends(get_db)):
@@ -261,19 +263,58 @@ async def set_user_collect(
 
 
 @app.get("/questions/get_system_recommend")
-async def get_system_recommend(db: asyncpg.Connection = Depends(get_db)):  # 添加 db 参数
-    # 查询所有系统推荐问题
-    system_recommend_questions = await get_system_recommend_questions(db)
+async def get_system_recommend(
+        db: asyncpg.Connection = Depends(get_db),  # 数据库连接
+        page: int = Query(1, description="当前页码，默认为 1"),  # 页码参数
+        page_size: int = Query(10, description="每页数据量，默认为 10")  # 每页数据量参数
+):
+    # 计算 OFFSET
+    offset = (page - 1) * page_size
+
+    # 查询分页后的系统推荐问题
+    system_recommend_questions = await get_system_recommend_questions(db, offset, page_size)
+
+    # 查询总数据量
+    total = await get_system_recommend_questions_count(db)
+
     # 返回查询结果
-    return {"success": True, "data": system_recommend_questions}
+    return {
+        "success": True,
+        "data": system_recommend_questions,
+        "pagination": {
+            "page": page,
+            "page_size": page_size,
+            "total": total  # 总数据量
+        }
+    }
+
+
+@app.get("/questions/get_user_questions")
+async def get_user_questions(
+        db: asyncpg.Connection = Depends(get_db),  # 数据库连接
+        page: int = Query(1, description="当前页码，默认为 1"),  # 页码参数
+        page_size: int = Query(10, description="每页数据量，默认为 10"),  # 每页数据量参数
+        type_id: int = Query(1, description="1：用户收藏的问题，0：全部")
+):
+    # 计算 OFFSET
+    offset = (page - 1) * page_size
+
+    # 查询分页后的用户收藏问题
+    user_questions = await get_user_publish_questions(db, type_id, offset, page_size)
 
+    # 查询总数据量
+    total = await get_user_publish_questions_count(db)
 
-@app.get("/questions/get_user_collect")
-async def get_user_collect(db: asyncpg.Connection = Depends(get_db)):  # 添加 db 参数
-    # 查询所有用户收藏问题
-    user_collect_questions = await get_user_collect_questions(db)
     # 返回查询结果
-    return {"success": True, "data": user_collect_questions}
+    return {
+        "success": True,
+        "data": user_questions,
+        "pagination": {
+            "page": page,
+            "page_size": page_size,
+            "total": total  # 总数据量
+        }
+    }
 
 
 # 获取数据库字段名
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