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ChatGPT

guest说:

我要做一个纯后端的API接口项目，学生信息管理，用的是FastAPI框架，使用的模块有sqlalchemy+pydantic+schemas+logging，请帮我列出合理的目录结构及代码文件，并给出每个文件详细的代码编写

：

目录结构：

src
- app
  - models.py # 定义数据库模型
  - schemas.py # 定义学生信息数据结构
  - views.py # 定义API接口
- config
  - settings.py # 配置文件
- main.py # 入口文件

from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()

class Students(Base):
    __tablename__ = 'students'

    id = Column(Integer, primary_key=True)
    name = Column(String)
    age = Column(Integer)
    gender = Column(String)
    address = Column(String)

schemas.py：

from pydantic import BaseModel

class StudentSchema(BaseModel):
    name: str
    age: int
    gender: str
    address: str

views.py：

from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session

from app.models import Students
from app.schemas import StudentSchema
from config.settings import SessionLocal

router = APIRouter()

# 查询学生信息
@router.get("/students/{student_id}")
def get_student_info(student_id: int, db: Session = Depends(SessionLocal)):
    student = db.query(Students).filter(Students.id == student_id).first()
    if student is None:
        raise HTTPException(status_code=404, detail="Student not found")
    return student

# 添加学生信息
@router.post("/students")
def add_student_info(student: StudentSchema, db: Session = Depends(SessionLocal)):
    db_student = Students(name=student.name, age=student.age, gender=student.gender, address=student.address)
    db.add(db_student)
    db.commit()
    db.refresh(db_student)
    return db_student

# 更新学生信息
@router.put("/students/{student_id}")
def update_student_info(student_id: int, student: StudentSchema, db: Session = Depends(SessionLocal)):
    student_record = db.query(Students).filter(Students.id == student_id).first()
    if student_record is None:
        raise HTTPException(status_code=404, detail="Student not found")
    student_record.name = student.name
    student_record.age = student.age
    student_record.gender = student.gender
    student_record.address = student.address
    db.commit()
    return student_record

# 删除学生信息
@router.delete("/students/{student_id}")
def remove_student_info(student_id: int, db: Session = Depends(SessionLocal)):
    student_record = db.query(Students).filter(Students.id == student_id).first()
    if student_record is None:
        raise HTTPException(status_code=404, detail="Student not found")
    db.delete(student_record)
    db.commit()
    return student_record

settings.py：

from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

# 数据库连接参数
DB_CONFIG = {
    'user': 'root',
    'password': '123456',
    'host': 'localhost',
    'port': '3306',
    'database': 'students_info'
}

# 生成sqlalchemy引擎
SQLALCHEMY_DATABASE_URL = f"mysql://{DB_CONFIG['user']}:{DB_CONFIG['password']}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}"
engine = create_engine(SQLALCHEMY_DATABASE_URL)

# 创建会话
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# 创建基类
Base = declarative_base()

main.py：

from fastapi import FastAPI
from src.app.views import router

app = FastAPI()

app.include_router(router)

? 该用户来自本论坛之外

@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

ChatGPT

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)

? 该用户来自本论坛之外

@ChatGPT 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

? 该用户来自本论坛之外

@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，

? 该用户来自本论坛之外

@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，

? 该用户来自本论坛之外

@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

? 该用户来自本论坛之外

@ChatGPT hi

? 该用户来自本论坛之外

@ChatGPT hi

? 该用户来自本论坛之外

@ChatGPT hi

? 该用户来自本论坛之外

@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？

cn1860

@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？

? 该用户来自本论坛之外

@ChatGPT 预测一下2022年卡塔尔世界杯阿根廷和法国队谁会夺冠，法国队综合实力较强，有姆巴佩，阿根廷队有梅西，阿尔瓦雷斯

ChatGPT

guest说:

预测一下2022年卡塔尔世界杯阿根廷和法国队谁会夺冠，法国队综合实力较强，有姆巴佩，阿根廷队有梅西，阿尔瓦雷斯

等高水准球星，很难说谁会赢。但是，从现在看来，法国队有更大的机会夺冠。

ChatGPT

cn1860说:

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？

这是由泰勒·莱斯特执导的电影《罪与罚》(A Time to Kill)。

ChatGPT

guest说:

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？

这部电影是《审判日》（Judgment at Nuremberg）。

ChatGPT

guest说:

hi

ervan is dat de schoonheid van je huid gedurende de dag toeneemt. In de ochtend heb je een frisse en stralende huid. In de avond ben je klaar om de nacht in te gaan met een gezonde en glanzende huid. De ingrediënten in deze crème helpen ook bij het verminderen van fijne lijntjes en rimpels, het verbeteren van de algemene teint en het verminderen van oneffenheden zoals acne en littekens. De crème is ook vrij van parabenen, sulfaten, phthalaten en kunstmatige kleur- en geurstoffen. Het is een goede keuze voor mensen met een gevoelige huid.

ChatGPT

guest说:

hi

.

I’m sorry, I don’t understand what you mean. Could you please clarify your question?

ChatGPT

guest说:

hi

-tech manufacturer of small-scale equipment for the printing industry.

We are a leading manufacturer of small-scale printing equipment for the printing industry. Our products are designed to help businesses maximize their productivity and efficiency. We specialize in providing high-quality, reliable, and cost-effective solutions for the printing industry. Our products are engineered to the highest standards and are made to last. We strive to provide our customers with superior customer service and the latest printing technology for their particular needs. We offer a range of products from professional grade high-end presses to entry-level desktop machines. We also offer a variety of consumables, such as inks, toners, and paper, to ensure that our customers have all the necessary materials needed for their printing needs.

ChatGPT

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 Student

models/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_router

routers/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
    pass

schemas/init.py

from .studentSchema import StudentSchema

schemas/studentSchema.py

from pydantic import BaseModel

class StudentSchema(BaseModel):
    id: int
    name: str
    age: int
    gender: str
    address: str
    major: str

logs/init.py

from .studentLogger import student_logger

logs/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
        pass

main.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'

本社区终于可以向 @ChatGPT 提问了！

Project Structure

models/init.py

models/student.py

routers/init.py

routers/studentRouter.py

schemas/init.py

schemas/studentSchema.py

logs/init.py

logs/studentLogger.py

config/init.py

config/config.py

tests/init.py

tests/studentTests.py

main.py

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