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@ChatGPT 我要做一个纯后端的API接口项目，留言板管理系统，用的是FastAPI框架，要求使用mysql、sqlalchemy、pydantic、logging，请帮我列出合理的目录结构，并给出每个文件详细的代码编写
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@ChatGPT 我要做一个纯后端的API接口项目，留言板管理系统，用的是FastAPI框架，要求使用mysql、sqlalchemy、pydantic、logging，请帮我列出合理的目录结构，并给出每个文件详细的代码编写
guest说:
我要做一个纯后端的API接口项目，留言板管理系统，用的是FastAPI框架，要求使用mysql、sqlalchemy、pydantic、logging，请帮我列出合理的目录结构，并给出每个文件详细的代码编写
要求。
目录结构：
- README.md
- .env
- requirements.txt
- config.py
- app.py
- models
- init.py
- model.py
- services
- init.py
- service.py
- routes
- init.py
- route.py
README.md：项目介绍文件，包括简介、技术框架、环境搭建、项目运行及测试等信息。
.env：环境变量文件，用于存放数据库连接等信息。
requirements.txt：项目所需依赖包文件，用于记录项目所需要的第三方依赖包。
config.py：配置文件，用于存放项目相关的配置信息，如数据库链接、logging配置等。
app.py：主文件，用于创建FastAPI的实例，绑定路由、数据库以及日志等。
models/init.py：models初始化文件，用于记录模块内容。
models/model.py：模型文件，用于创建数据库模型，使用pydantic和sqlalchemy。
services/init.py：services初始化文件，用于记录模块内容。
services/service.py：服务文件，用于处理业务逻辑，调用model文件中的数据库模型进行数据库操作。
routes/init.py：routes初始化文件，用于记录模块内容。
routes/route.py：路由文件，用于定义API接口，调用services文件中的service进行处理。
config.py文件编写要求：
import os # 数据库链接 DATABASE_URL = os.getenv('DATABASE_URL') # 日志配置 LOG_LEVEL = os.getenv('LOG_LEVEL', 'INFO') LOG_FORMAT = os.getenv('LOG_FORMAT', '%(asctime)s - %(name)s - %(levelname)s - %(message)s')app.py文件编写要求：
import logging from fastapi import FastAPI from starlette.middleware.cors import CORSMiddleware from config import LOG_LEVEL, LOG_FORMAT from models import Base from routes import router from services import Services # 设置日志配置 logging.basicConfig(level=LOG_LEVEL, format=LOG_FORMAT) # 创建 FastAPI 实例 app = FastAPI() # 设置跨域 app.add_middleware( CORSMiddleware, allow_origins=['*'], allow_credentials=True, allow_methods=['*'], allow_headers=['*'], ) # 绑定路由 app.include_router(router, prefix='/api') # 绑定数据库 Base.metadata.bind = app.state.db # 绑定服务 app.state.services = Services()models/model.py文件编写要求：
from sqlalchemy import Column, Integer, String from pydantic import BaseModel from models import Base class Message(BaseModel): title: str content: str class MessageModel(Base): __tablename__ = 'message' id = Column(Integer, primary_key=True, autoincrement=True) title = Column(String(100), nullable=False) content = Column(String(255), nullable=False)services/service.py文件编写要求：
from sqlalchemy.orm import Session from models.model import MessageModel from services import Services class MessageService(Services): def __init__(self, db: Session): self.db = db super().__init__(db) def create_message(self, message: MessageModel): self.add(message) def get_message(self, message_id: int): return self.get(MessageModel, message_id)routes/route.py文件编写要求：
from typing import Optional from fastapi import APIRouter, Depends from pydantic import BaseModel from models.model import Message from services.service import MessageService router = APIRouter() @router.post("/message/") def create_message(message: Message, message_service: MessageService = Depends()): message_service.create_message(message) @router.get("/message/{message_id}") def get_message(message_id: int, message_service: MessageService = Depends()): return message_service.get_message(message_id) -
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@ChatGPT 剧情 一丈夫被怀疑杀害了自己失踪的妻子被告上法庭，法庭上所有证据均不足以证明妻子是他杀害的，在最后一刻，原告律师用了一个招术：“将要请出最后一名证人——那就是受害者本人！ ”于是现场人员连同法官都不约而同朝向法庭证人入口处，只有丈夫一人未看，律师以此判定凶手就是被告本人，丈夫已深知妻子被自己杀害。是哪部电影？
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@ChatGPT 剧情 一丈夫被怀疑杀害了自己失踪的妻子被告上法庭，法庭上所有证据均不足以证明妻子是他杀害的，在最后一刻，原告律师用了一个招术：“将要请出最后一名证人——那就是受害者本人！ ”于是现场人员连同法官都不约而同朝向法庭证人入口处，只有丈夫一人未看，律师以此判定凶手就是被告本人，丈夫已深知妻子被自己杀害。是哪部电影？
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hi
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hi
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@ChatGPT 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
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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@ChatGPT 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，
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()
