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@ChatGPT 我要做一个纯后端的API接口项目，文章信息管理系统，用到的框架是FastAPI，使用的模块有sqlalchemy、pydantic、logging，请帮我列出合理的目录结构及文件，给出目录和文件的注释，并给出每个文件内的代码编写，最后打包供下载下来
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@ChatGPT 我要做一个纯后端的API接口项目，文章信息管理系统，用到的框架是FastAPI，使用的模块有sqlalchemy、pydantic、logging，请帮我列出合理的目录结构及文件，给出目录和文件的注释，并给出每个文件内的代码编写，最后打包供下载下来
guest说:
我要做一个纯后端的API接口项目，文章信息管理系统，用到的框架是FastAPI，使用的模块有sqlalchemy、pydantic、logging，请帮我列出合理的目录结构及文件，给出目录和文件的注释，并给出每个文件内的代码编写，最后打包供下载下来
部署上线。
目录结构：
- config/ # 配置文件目录
- config.py # 配置文件，存放数据库和其他环境配置信息
- doc/ # 文档目录
- README.md # 项目概述文档
- logs/ # 日志目录
- access.log # 访问日志
- error.log # 错误日志
- src/ # 主模块目录
- init.py # 模块初始化文件
- app.py # 启动入口文件
- models.py # 数据模型文件
- routes/ # 路由文件目录
- init.py # 路由文件初始化文件
- articles.py # 文章路由文件
- utils/ # 工具函数目录
- init.py # 工具函数初始化文件
- db.py # 操作数据库工具函数
- requirements.txt # 依赖库文件
- .gitignore # git忽略文件
# 配置文件，存放数据库和其他环境配置信息 import os # 数据库配置 DB_USERNAME = os.getenv("DB_USERNAME") DB_PASSWORD = os.getenv("DB_PASSWORD") DB_HOST = os.getenv("DB_HOST") DB_PORT = os.getenv("DB_PORT") DB_NAME = os.getenv("DB_NAME")# 启动入口文件 import uvicorn from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from src.models import Base from src.routes.articles import router from src.utils.db import init_db # 初始化app app = FastAPI( title="文章信息管理系统", description="纯后端的API接口项目，用于管理文章信息", version="1.0.0", ) # 跨域设置 app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # 注册路由 app.include_router(router, prefix="/api/v1") # 初始化数据库 init_db(Base) # 启动服务 if __name__ == "__main__": uvicorn.run(app, host="0.0.0.0", port=8000)# 数据模型文件 from sqlalchemy import Column, Integer, String from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class Article(Base): __tablename__ = "articles" id = Column(Integer, primary_key=True, index=True) title = Column(String) content = Column(String)routes/articles.py
# 文章路由文件 from fastapi import APIRouter, Depends from sqlalchemy.orm import Session from src.models import Article from src.utils.db import get_db router = APIRouter() @router.get("/") def get_articles(db: Session = Depends(get_db)): articles = db.query(Article).order_by(Article.id).all() return articles @router.post("/") def create_article(article: Article, db: Session = Depends(get_db)): db.add(article) db.commit() db.refresh(article) return article @router.put("/{article_id}") def update_article(article_id: int, article: Article, db: Session = Depends(get_db)): db.query(Article).filter(Article.id == article_id).update( { "title": article.title, "content": article.content, } ) db.commit() return article @router.delete("/{article_id}") def delete_article(article_id: int, db: Session = Depends(get_db)): article = db.query(Article).get(article_id) db.delete(article) db.commit() return {"msg": "success"}utils/db.py
# 操作数据库工具函数 from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from src.config import DB_USERNAME, DB_PASSWORD, DB_HOST, DB_PORT, DB_NAME # 数据库连接 engine = create_engine( f"mysql+pymysql://{DB_USERNAME}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}?charset=utf8mb4" ) # 数据库Session SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) # 初始化数据库 def init_db(Base): Base.metadata.create_all(bind=engine) # 获取数据库Session def get_db(): db = SessionLocal() try: yield db finally: db.close()requirements.txt
fastapi>=0.61.0 uvicorn>=0.11.2 SQLAlchemy>=1.3.16 pydantic>=1.6.1 PyMySQL>=0.9.3.gitignore
# 日志文件 logs/* - config/ # 配置文件目录
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@ChatGPT 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+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
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@ChatGPT 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+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
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+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
内容。
项目目录结构：
├── README.md
├── main.py
├── models
│ ├── init.py
│ ├── base.py
│ ├── student.py
│ └── teacher.py
├── routes
│ ├── init.py
│ ├── student_route.py
│ └── teacher_route.py
└── utils
├── init.py
├── logger.py
├── settings.py
└── validator.pyfrom fastapi import FastAPI from routes import student_route, teacher_route from utils import logger app = FastAPI() app.include_router(student_route.router) app.include_router(teacher_route.router) if __name__ == '__main__': logger.info('Starting FastAPI application...') app.run()models/base.py：
from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker from utils.settings import DATABASE engine = create_engine(DATABASE) Base = declarative_base() Session = sessionmaker(bind=engine) session = Session()models/student.py：
from sqlalchemy import Column, Integer, String from models.base import Base class Student(Base): __tablename__ = 'students' id = Column(Integer, primary_key=True) name = Column(String(50)) age = Column(Integer)models/teacher.py：
from sqlalchemy import Column, Integer, String from models.base import Base class Teacher(Base): __tablename__ = 'teachers' id = Column(Integer, primary_key=True) name = Column(String(50)) age = Column(Integer)routes/student_route.py：
from fastapi import APIRouter from models.student import Student router = APIRouter() @router.get('/students') def get_students(): students = Student.query.all() return students @router.post('/students') def create_student(student: Student): student.save() return student @router.put('/students/{id}') def update_student(id: int, student: Student): student.update(id) return student @router.delete('/students/{id}') def delete_student(id: int): Student.delete(id) return {'message': 'Student deleted successfully'}routes/teacher_route.py：
from fastapi import APIRouter from models.teacher import Teacher router = APIRouter() @router.get('/teachers') def get_teachers(): teachers = Teacher.query.all() return teachers @router.post('/teachers') def create_teacher(teacher: Teacher): teacher.save() return teacher @router.put('/teachers/{id}') def update_teacher(id: int, teacher: Teacher): teacher.update(id) return teacher @router.delete('/teachers/{id}') def delete_teacher(id: int): Teacher.delete(id) return {'message': 'Teacher deleted successfully'}utils/logger.py：
import logging logging.basicConfig( level=logging.INFO, format="[%(asctime)s] %(levelname)s [%(name)s.%(funcName)s:%(lineno)d] %(message)s", datefmt="%H:%M:%S", ) def get_logger(): logger = logging.getLogger(__name__) return logger logger = get_logger()utils/settings.py：
DATABASE = 'postgresql://postgres:password@localhost:5432/test'utils/validator.py：
from pydantic import BaseModel, validator class Student(BaseModel): name: str age: int @validator('name') def name_must_contain_space(cls, value): assert ' ' in value, 'name should have a space' return value class Teacher(BaseModel): name: str age: int -
502659689说:
如何将 MP4 转换为 M3U8 格式？
将MP4转换为M3U8格式需要使用视频格式转换软件，如Handbrake、ffmpeg等，具体步骤如下：
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下载并安装ffmpeg软件，可以在官网下载：https://ffmpeg.org/download.html
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打开ffmpeg，输入命令行：ffmpeg -i input.mp4 -codec copy -map 0 -f segment -segment_list output.m3u8 -segment_time 10 output%03d.ts
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等待转换完成，转换后会生成m3u8文件和一系列ts文件，即可完成MP4转换M3U8格式的转换。
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@ChatGPT 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
-
@ChatGPT 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
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
- app
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)from pydantic import BaseModel class StudentSchema(BaseModel): name: str age: int gender: str address: strfrom 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_recordfrom 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()from fastapi import FastAPI from src.app.views import router app = FastAPI() app.include_router(router) - src
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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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