这是我们组的项目

schema/__init__.py

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+from typing import List, Optional, Literal
+
+from pydantic import BaseModel, Field, validator
+from datetime import datetime
+
+class StudentQuery(BaseModel):
+    student_no:str|None=Field(None,min_length=1,max_length=50,description="学生编号")
+    student_name:str|None=Field(None,min_length=1,max_length=50,description="学生姓名")
+    class_id:int|None=Field(None,ge=1,description="班级ID")
+    page:int=Field(1,ge=1,description="页码")
+    size:int=Field(5,ge=1,description="每页查询数量")
+
+class StudentCreate(BaseModel):
+    student_no:str=Field(...,min_length=1,max_length=50,description="学生编号")
+    student_name:str=Field(...,min_length=1,max_length=50,description="学生姓名")
+    class_id:int=Field(...,ge=1,description="班级ID")
+    flag: int = Field(..., description="0为已删除,1为存在")
+    advisor_id:int=Field(...,description="顾问编号")
+    native_place: str | None = Field(None, min_length=1, max_length=200)
+    school: str | None = Field(None, min_length=1, max_length=100)
+    major: str | None = Field(None, min_length=1, max_length=50)
+    enrollment_time: datetime | None = Field(None, description="入学时间")
+    graduation_time: datetime | None = Field(None, description="毕业时间")
+    education: str | None = Field(None, min_length=1, max_length=100, description="学历")
+    age: int | None = Field(None, gt=0, le=150, description="年龄")
+    gender: str | None = Field(None, min_length=1, max_length=20, description="性别")
+    state: str | None = Field(None, min_length=2, max_length=20, description="就业状态,状态(在读、进入就业、已就业)")
+
+class StudentUpdate(BaseModel):
+    student_name:str=Field(...,min_length=1,max_length=50,description="学生姓名")
+    class_id:int=Field(...,ge=1,description="班级ID")
+    flag: int = Field(..., description="0为已删除,1为存在")
+    advisor_id: int = Field(..., description="顾问编号")
+    native_place:str|None=Field(None,min_length=1,max_length=200)
+    school:str|None=Field(None,min_length=1,max_length=100)
+    major:str|None =Field(None,min_length=1,max_length=50)
+    enrollment_time:datetime|None =Field(None,description="入学时间")
+    graduation_time:datetime|None =Field(None,description="毕业时间")
+    education:str|None =Field(None,min_length=1,max_length=100,description="学历")
+    age:int|None =Field(None,gt=0,le=150,description="年龄")
+    gender:str|None =Field(None,min_length=1,max_length=20,description="性别")
+    state:str|None=Field(None,min_length=2,max_length=20,description="就业状态,状态(在读、进入就业、已就业)")
+
+#===============================统计分析模块请求体===========================
+
+#按年龄比较
+class AgeQuery(BaseModel):
+    operator: Literal["gt", "lt", "eq", "ge", "le", "between"]
+
+    # 单值用
+    value: Optional[int] = None
+
+    # 区间用
+    min_value: Optional[int] = None
+    max_value: Optional[int] = None
+
+    @validator("value", "min_value", "max_value", always=True)
+    def check(cls, v, values):
+        # 这里能拿到已经校验过的其他字段
+        op = values.get("operator")
+        if op == "between":
+            if values.get("min_value") is None or values.get("max_value") is None:
+                raise ValueError("between 必须传 min_value 和 max_value")
+        else:
+            if values.get("value") is None:
+                raise ValueError(f"{op} 必须传 value")
+        return v
+
+#按照薪资固定排名查询
+class TopNSalaryQuery(BaseModel):
+    n: int = Field(10, ge=1, le=100, description="取前 N 名，1~100")
+#===============================统计分析模块响应体===========================
+#按班级返回每个性别人数
+class ClassGenderFlatItem(BaseModel):
+    class_name: str
+    class_total: int
+    boys_count: int
+    girls_count: int
+
+
+#每次考试都大于分数线的学生
+class higherScoreResponse(BaseModel):
+    stu_id: int
+    stu_name: str
+    stu_score: List[int]
+
+#每个学生就业时长
+class workTimeResponse(BaseModel):
+    name:str
+    id: int
+    work_time: int
+
+# 不及格次数大于指定次数
+class failMoreResponse(BaseModel):
+    stu_id: int
+    stu_name: str
+    class_name: str
+    fail_scores: List[int]
+
+# 不及格次数大于指定次数
+class countAvgOrderResponse(BaseModel):
+    score: int
+    class_id: int
+    class_name: str
+    avg_score: float