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guest说:
hi
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guest说:
hi
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guest说:
生成一个纯后端的API接口，用于学生信息管理，用FastAPI+mysql+sqlalchemy+pydantic+logging，用到yield db，要求项目结构中有Models目录，Routers目录，Schemas目录，Logs目录，Config目录，Tests目录，并给出每个文件详细的代码编写
Project Structure
- models
- init.py
- student.py
- routers
- init.py
- studentRouter.py
- schemas
- init.py
- studentSchema.py
- logs
- init.py
- studentLogger.py
- config
- init.py
- config.py
- tests
- init.py
- studentTests.py
- main.py
models/init.py
from .student import Studentmodels/student.py
from sqlalchemy import Column, Integer, String from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class Student(Base): __tablename__ = 'students' id = Column(Integer, primary_key=True) name = Column(String) age = Column(Integer) gender = Column(String) address = Column(String) major = Column(String)routers/init.py
from .studentRouter import student_routerrouters/studentRouter.py
from fastapi import APIRouter student_router = APIRouter() @student_router.get('/students') def get_all_students(): # get all students logic pass @student_router.post('/students') def create_student(): # create student logic pass @student_router.put('/students/{student_id}') def update_student(student_id: int): # update student logic pass @student_router.delete('/students/{student_id}') def delete_student(student_id: int): # delete student logic passschemas/init.py
from .studentSchema import StudentSchemaschemas/studentSchema.py
from pydantic import BaseModel class StudentSchema(BaseModel): id: int name: str age: int gender: str address: str major: strlogs/init.py
from .studentLogger import student_loggerlogs/studentLogger.py
import logging student_logger = logging.getLogger('studentLogger') student_logger.setLevel(logging.INFO) # create file handler handler = logging.FileHandler('student.log') handler.setLevel(logging.INFO) # create a logging format formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) # add the handlers to the logger student_logger.addHandler(handler)config/init.py
from .config import *config/config.py
from pydantic import BaseSettings class Settings(BaseSettings): sqlalchemy_url: str settings = Settings()tests/init.py
from .studentTests import *tests/studentTests.py
import unittest class StudentTests(unittest.TestCase): def test_get_all_students(self): # test get all students logic pass def test_create_student(self): # test create student logic pass def test_update_student(self): # test update student logic pass def test_delete_student(self): # test delete student logic passmain.py
from fastapi import FastAPI from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from config import settings from routers import student_router from logs import student_logger app = FastAPI() engine = create_engine(settings.sqlalchemy_url) Session = sessionmaker(bind=engine) def get_db(): try: db = Session() yield db finally: db.close() app.include_router(student_router) @app.get('/') def index(): student_logger.info('This is a student info management API') return 'This is a student info management API' - models
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guest说:
生成一个纯后端的API接口，用于学生信息管理，用FastAPI+mysql+sqlalchemy+pydantic+logging，用到yield db，要求项目结构中有Models目录，Routers目录，Schemas目录，Logs目录，Config目录，Tests目录，并给出每个文件详细的代码编写，
实现学生信息管理的全部功能
一、项目结构
Project ├───Models // ORM 模型 │ └───model.py ├───Routers // 路由 │ └───router.py ├───Schemas // 数据模型 │ └───schema.py ├───Logs // 日志 │ └───log.py ├───Config // 配置文件 │ └───config.py └───Tests // 测试 └───test.py二、模型文件（Models/model.py）
# 导入相关模块 from sqlalchemy import Column, Integer, String from sqlalchemy.ext.declarative import declarative_base # 创建基类 Base = declarative_base() # 创建学生表 class Student(Base): __tablename__ = 'student' # 创建表字段 id = Column(Integer, primary_key=True, autoincrement=True) name = Column(String(50), nullable=False) age = Column(Integer) gender = Column(String(10))三、路由文件（Routers/router.py）
# 导入相关模块 from typing import List from fastapi import APIRouter, Depends from sqlalchemy.orm import Session from sqlalchemy import create_engine from . import models, schemas # 创建路由 router = APIRouter() # 连接数据库 engine = create_engine('mysql+pymysql://root:123456@localhost:3306/student_info') # 获取session def get_db(): db = Session(bind=engine) try: yield db finally: db.close() # 获取所有学生信息 @router.get('/get_all_student', response_model=List[schemas.Student]) def get_all_student(db: Session=Depends(get_db)): students = db.query(models.Student).all() return students # 添加学生信息 @router.post('/add_student', response_model=schemas.Student) def add_student(student: schemas.Student, db: Session=Depends(get_db)): student_model = models.Student(name=student.name, age=student.age, gender=student.gender) db.add(student_model) db.commit() db.refresh(student_model) return student_model # 修改学生信息 @router.put('/update_student/{student_id}', response_model=schemas.Student) def update_student(student_id: int, student: schemas.Student, db: Session=Depends(get_db)): student_model = db.query(models.Student).filter(models.Student.id == student_id).first() student_model.name = student.name student_model.age = student.age student_model.gender = student.gender db.commit() db.refresh(student_model) return student_model # 删除学生信息 @router.delete('/delete_student/{student_id}', response_model=schemas.Student) def delete_student(student_id: int, db: Session=Depends(get_db)): student_model = db.query(models.Student).filter(models.Student.id == student_id).first() db.delete(student_model) db.commit() return student_model四、模型文件（Schemas/schema.py）
# 导入相关模块 from pydantic import BaseModel # 创建学生信息模型 class Student(BaseModel): name: str age: int gender: str五、日志文件（Logs/log.py）
# 导入相关模块 import logging # 设置日志等级、格式、文件名 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', filename='logs/student_info.log')六、配置文件（Config/config.py）
# 数据库连接配置 DATABASE_CONFIG = { 'host': 'localhost', 'user': 'root', 'password': '123456', 'db': 'student_info' }七、测试文件（Tests/test.py）
# 导入相关模块 import json import unittest from fastapi.testclient import TestClient from routers import router # 测试类 class TestStudent(unittest.TestCase): # 测试初始化 def setUp(self): self.client = TestClient(router) # 测试获取所有学生信息 def test_get_all_student(self): response = self.client.get('/get_all_student') self.assertEqual(response.status_code, 200) # 测试添加学生信息 def test_add_student(self): data = { 'name': '张三', 'age': 18, 'gender': '男' } response = self.client.post('/add_student', data=json.dumps(data)) self.assertEqual(response.status_code, 200) # 测试修改学生信息 def test_update_student(self): data = { 'name': '李四', 'age': 18, 'gender': '男' } response = self.client.put('/update_student/1', data=json.dumps(data)) self.assertEqual(response.status_code, 200) # 测试删除学生信息 def test_delete_student(self): response = self.client.delete('/delete_student/2') self.assertEqual(response.status_code, 200) # 执行测试 if __name__ == '__main__': unittest.main() -
guest说:
生成一个纯后端的API接口，用于学生信息管理，用FastAPI+mysql+sqlalchemy+pydantic+logging，用到yield db，要求目录结构合理，包含Models目录，routers目录，schemas目录，logs目录，config目录，Tests目录，并给出每个文件详细的代码编写，
路由如下：
- API - Models - student.py - routers - student.py - schemas - student.py - logs - student.log - config - config.py - Tests - test_student.py - main.pyModels/student.py
from sqlalchemy import Column, Integer, String from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class Student(Base): __tablename__ = 'student' id = Column(Integer, primary_key=True, autoincrement=True) name = Column(String(20)) age = Column(Integer) gender = Column(String(10)) student_id = Column(String(20)) school = Column(String(50)) major = Column(String(20))schemas/student.py
from pydantic import BaseModel class Student(BaseModel): name: str age: int gender: str student_id: str school: str major: strrouters/student.py
from fastapi import APIRouter, Depends from sqlalchemy.orm import Session from .. import models, schemas from ..database import SessionLocal router = APIRouter() # Dependency def get_db(): db = SessionLocal() try: yield db finally: db.close() @router.get("/") async def get_all_student(db: Session = Depends(get_db)): student = db.query(models.Student).all() return student @router.post("/") async def create_student(student: schemas.Student, db: Session = Depends(get_db)): db_student = models.Student(**student.dict()) db.add(db_student) db.commit() db.refresh(db_student) return db_student @router.get("/{student_id}") async def get_student(student_id: int, db: Session = Depends(get_db)): student = db.query(models.Student).filter(models.Student.id == student_id).first() return student @router.put("/{student_id}") async def update_student(student_id: int, student: schemas.Student, db: Session = Depends(get_db)): db_student = db.query(models.Student).filter(models.Student.id == student_id).first() update_data = student.dict(exclude_unset=True) for key, value in update_data.items(): setattr(db_student, key, value) db.commit() return db_student @router.delete("/{student_id}") async def delete_student(student_id: int, db: Session = Depends(get_db)): student = db.query(models.Student).filter(models.Student.id == student_id).delete() db.commit() return studentconfig/config.py
SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://:@/'Tests/test_student.py
from fastapi.testclient import TestClient import pytest from main import app client = TestClient(app) def test_get_all_student(): response = client.get('/student/') assert response.status_code == 200 def test_create_student(): data = { 'name': 'test', 'age': 18, 'gender': 'male', 'student_id': '123456', 'school': 'test school', 'major': 'test major' } response = client.post('/student/', json=data) assert response.status_code == 200 def test_get_student(): response = client.get('/student/1') assert response.status_code == 200 def test_update_student(): data = { 'name': 'test1', 'age': 20, } response = client.put('/student/1', json=data) assert response.status_code == 200 def test_delete_student(): response = client.delete('/student/1') assert response.status_code == 200from fastapi import FastAPI from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker from loguru import logger from .config import SQLALCHEMY_DATABASE_URI from .routers import student # Initialize the FastAPI app app = FastAPI() # Initialize the database engine = create_engine(SQLALCHEMY_DATABASE_URI) Base = declarative_base() SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) # Configure the logging logger.add("logs/student.log") # Add the routers app.include_router(student.router, prefix='/student') -
guest说:
生成一个纯后端的API接口，用于学生信息管理，用FastAPI框架+mysql+sqlalchemy+pydantic+logging，要求目录结构合理，包含Models目录，routers目录，schemas目录，logs目录，config目录，Tests目录，并给出每个文件详细的代码编写，并且用到yield db
.commit()
├── config
│ ├── config.py
│ └── logging.conf
├── logs
│ ├── logfile.log
│ └── log_data.log
├── main.py
├── models
│ ├── init.py
│ └── student.py
├── routers
│ └── student_api.py
├── schemas
│ ├── init.py
│ └── student_schema.py
└── tests
└── student_test.pyconfig/config.py
import os
DATABASE_URI = os.environ.get('DATABASE_URI', 'mysql+pymysql://root:xxxx@127.0.0.1:3306/student_db')
config/logging.conf
[loggers]
keys=root[handlers]
keys=consoleHandler[formatters]
keys=simpleFormatter[logger_root]
level=DEBUG
handlers=consoleHandler[handler_consoleHandler]
class=StreamHandler
level=DEBUG
formatter=simpleFormatter
args=(sys.stdout, )[formatter_simpleFormatter]
format=%(asctime)s [%(levelname)s] [%(name)s] %(message)smain.py
from fastapi import FastAPI
from starlette.requests import Request
from starlette.responses import Response
from starlette.middleware.cors import CORSMiddleware
from starlette.config import Config
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmakerimport logging
读取配置文件
config = Config('.env')
设置日志
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger("app")设置数据库
engine = create_engine(config("DATABASE_URI"))
Base = declarative_base()
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
db = SessionLocal()初始化app
app = FastAPI(debug=True)
允许跨域
app.add_middleware(
CORSMiddleware,
allow_origins=[""],
allow_credentials=True,
allow_methods=[""],
allow_headers=["*"],
)注册路由
from .routers import student_api
app.include_router(student_api.router, prefix="/students")
models/student.py
from sqlalchemy import Column, Integer, String
from . import Baseclass Student(Base):
tablename = 'students'id = Column(Integer, primary_key=True, autoincrement=True) name = Column(String(64), nullable=False) age = Column(Integer, nullable=False) gender = Column(String(64), nullable=False) address = Column(String(128), nullable=False)schemas/student_schema.py
from pydantic import BaseModel
class StudentSchema(BaseModel):
id: int
name: str
age: int
gender: str
address: strrouters/student_api.py
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from ..models.student import Student
from ..schemas.student_schema import StudentSchemarouter = APIRouter()
@router.get("/", response_model=StudentSchema(many=True))
def get_students(db: Session = Depends(db)):
students = db.query(Student).all()
return students@router.post("/", response_model=StudentSchema())
def create_student(student: StudentSchema, db: Session = Depends(db)):
db_student = Student(**student.dict())
db.add(db_student)
db.commit()
db.refresh(db_student)
return db_student@router.put("/{student_id}", response_model=StudentSchema())
def update_student(student_id: int, student: StudentSchema, db: Session = Depends(db)):
db_student = db.query(Student).filter(Student.id == student_id).first()
db_student.name = student.name
db_student.age = student.age
db_student.gender = student.gender
db_student.address = student.address
db.add(db_student)
db.commit()
db.refresh(db_student)
return db_student@router.delete("/{student_id}", response_model=StudentSchema())
def delete_student(student_id: int, db: Session = Depends(db)):
db_student = db.query(Student).filter(Student.id == student_id).first()
db.delete(db_student)
db.commit()
return db_studenttests/student_test.py
from fastapi.testclient import TestClient
from . main import appclient = TestClient(app)
def test_get_students():
response = client.get("/students/")
assert response.status_code == 200
assert response.json() == []def test_create_student():
response = client.post("/students/", json={
"name": "John",
"age": 23,
"gender": "Male",
"address": "New York"
})
assert response.status_code == 200
assert response.json() == {
"id": 1,
"name": "John",
"age": 23,
"gender": "Male",
"address": "New York"
}def test_update_student():
response = client.put("/students/1", json={
"name": "John Doe",
"age": 24,
"gender": "Male",
"address": "New York"
})
assert response.status_code == 200
assert response.json() == {
"id": 1,
"name": "John Doe",
"age": 24,
"gender": "Male",
"address": "New York"
}def test_delete_student():
response = client.delete("/students/1")
assert response.status_code == 200
assert response.json() == {
"id": 1,
"name": "John Doe",
"age": 24,
"gender": "Male",
"address": "New York"
} -
GEE说:
写15首外面下着小雨,趟在床上睡不着思念心上人的情诗
1、雨声悠悠催人眠，暗夜深处空茫冷。但愿心中的思念，千里之外仍清澈。
2、窗外落雨滴滴答，思念你的心渐渐苦。苦苦相思无处安慰，只能在床上痴痴想。
3、夜深星辰叹流泪，小雨点洒思念痕。睡梦中梦到你身影，想念更深心中痛。
4、小雨淅淅漫天飞，空气中弥漫着温馨。睡不着思念心上人，夜里想你心痒痒。
5、夜深梦中你身影，雨声悠悠令我思念。但知你远在千里外，痴痴的想你欲绝望。
6、窗外漫天飞的雨，滴滴的点点思念苦。两颗心千里之外，深夜安慰无处找。
7、雨声滴答暗夜里，思念深深满心头。你远去却还在心里，心痒痒想你又怎能休？
8、窗外雨声滴答答，心里思念有痴痴味。不能再见只能思念，夜深落泪痛不可言。
9、窗外雨声滴答答，思念你的心依旧痒。久久不能相见，深夜想你心如刀痒。
10、小雨滴答夜深深，思念你的心痒痒发烧。千里之外你还好吗，你的心里是否也想我。
11、夜深星沉月收藏，窗外小雨滴答答。心中痴痴想你，但愿你早日回来。
12、夜色深沉雨声悠，思念你的心痒痒发烧。但愿给你的思念，能抵达千里之外。
13、窗外小雨滴滴答，想念你的心如沸水。夜里想你又怎能休，眼泪潸然滴滴落。
14、夜深月夜雨声悠，思念你的心深深痒。无法忘记你的脸，只能躺在床上想念。
15、雨声滴答漫夜里，思念你心如刀痒。在暗夜里思念你，只能在床上痴痴想。
-
guest说:
pydantic.error_wrappers.ValidationError
error message """ if self.max_length is not None and len(value) > self.max_length: raise ValidationError( f"ensure this value has at most {self.max_length} characters" )class TextField(Field):
"""TextFieldThis is a Field object for handling text. Args: max_length (int): the maximum length of the text value. """ def __init__(self, max_length: Optional[int] = None): super().__init__(TextValidator(max_length))class EmailField(Field):
"""EmailFieldThis is a Field object for handling email addresses. """ def __init__(self): super().__init__(EmailValidator())class URLField(Field):
"""URLFieldThis is a Field object for handling URLs. """ def __init__(self): super().__init__(URLValidator())
