# 一、简介
[FastAPI](https://fastapi.tiangolo.com/zh/) 是一个用于构建 API 的现代、快速（高性能）的 web 框架，使用 Python 并基于标准的 Python 类型提示。
安装：
```cmd
pip install fastapi
pip install uvicorn[standard] # ASGI服务器
```
# 二、数据层
## 2.1 数据库ORM SQLAlchemy
### 2.1.1 配置与连接
```python
# database.py - 数据库配置
from sqlalchemy import create_engine, MetaData
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from typing import Generator
import os
from dotenv import load_dotenv
load_dotenv()
# 数据库配置
DATABASE_URL = f"mysql+pymysql://{os.getenv("DATABASE_URL", "root:123456@127.0.0.1:3306/test")}"
# 创建引擎
engine = create_engine(
DATABASE_URL,
echo=True, # 显示 SQL 语句（开发环境）
pool_size=20, # 连接池大小
max_overflow=40, # 最大溢出连接数
pool_pre_ping=True, # 连接前 ping
pool_recycle=3600, # 连接回收时间（秒）
)
# 创建会话工厂
SessionLocal = sessionmaker(
autocommit=False,
autoflush=False,
bind=engine,
expire_on_commit=False, # 提交后不使实例过期
)
# 声明基类
Base = declarative_base()
# 依赖注入：获取数据库会话
def get_db() -> Generator[Session, None, None]:
"""
获取数据库会话
使用 yield 确保会话正确关闭
"""
db = SessionLocal()
try:
yield db
finally:
db.close()
```
::: warning
需要把pool_pre_ping=True打开，否则会出现超过pool_recycle时间后，数据库断线。
:::
### 2.1.2 数据库基类
```python
from sqlalchemy import Column, BigInteger, String, DateTime, event
from sqlalchemy.ext.declarative import declared_attr
from config.auth import context_sub
from config.database import Base
from datetime import datetime
from utils.common import camel_to_snake
from id_generator import options, generator
# https://github.com/yitter/IdGenerator/tree/master/Python
options = options.IdGeneratorOptions(worker_id=23)
idgen = generator.DefaultIdGenerator()
idgen.set_id_generator(options)
# 第二层基类：包含ID
class IdBase(Base):
__abstract__ = True
id = Column(BigInteger, primary_key=True, index=True)
@declared_attr
def __tablename__(cls):
# 自动把数据库实体类名驼峰转为数据库表名下划线
return camel_to_snake(cls.__name__)
# 自动填充id
@event.listens_for(IdBase, 'before_insert', propagate=True)
def before_insert_listener(mapper, connection, target):
if target.id is None:
target.id = idgen.next_id()
# 第二层基类：包含ID和审计字段
class AuditBase(IdBase):
__abstract__ = True
create_time = Column(DateTime, nullable=True, default=datetime.now)
create_by = Column(String(255), nullable=True)
update_time = Column(DateTime, nullable=True, default=datetime.now, onupdate=datetime.now)
update_by = Column(String(255), nullable=True)
@event.listens_for(AuditBase, 'before_insert', propagate=True)
def before_insert(mapper, connection, target):
value = context_sub.get(None)
if value is not None:
target.create_by = value
@event.listens_for(AuditBase, 'before_update', propagate=True)
def before_update(mapper, connection, target):
value = context_sub.get(None)
if value is not None:
target.update_by = value
```
id采用yitter雪花id。
审计字段中的create_time和update_time通过SQLAlchemy参数配置。
create_by和update_by字段为登录认证中存储的账号信息。
### 2.1.3 数据库模型
```python
from sqlalchemy import (BigInteger, Boolean, Column, Integer, DECIMAL, String, LargeBinary)
from sqlalchemy.orm import relationship
from models.base import AuditBase, IdBase
class Blog(AuditBase):
title = Column(String(255), nullable=False, comment="博客标题")
top_value = Column(Integer, nullable=False, default=0, comment="置顶值 越大越靠前")
is_great = Column(Boolean, nullable=False, default=False, comment="是否是精品")
category_id = Column(BigInteger, nullable=False, comment="博客类别")
summary = Column(String(255), nullable=False, comment="博客内容概要")
content_id = Column(BigInteger, nullable=False, comment="博客内容")
word_count = Column(Integer, nullable=False, default=0, comment="字数统计")
read_duration = Column(DECIMAL(10, 2), nullable=False, default=0.00, comment="阅读时长")
is_approved = Column(Boolean, nullable=False, default=False, comment="是否发布")
# 分类关系（多对一）
category = relationship(
"BlogCategory",
# 与BlogCategory的blogs属性建立双向关系
back_populates="blogs",
# 只级联保存和合并操作，不级联删除（删除博客不应删除分类
cascade="save-update, merge",
# 明确指定连接条件
# 如果数据库设置了外键可以省略
primaryjoin="foreign(Blog.category_id) == BlogCategory.id"
)
# 内容关系（一对一）
content = relationship(
"BlogContent",
# 与BlogContent的blog属性建立双向关系
back_populates="blog",
# 完全级联操作：保存、合并、刷新、删除等所有操作都会级联
cascade="all, delete-orphan",
# 设置为False表示一对一关系，返回单个对象而不是列表
uselist=False,
# 确保内容只有一个父博客，与delete-orphan配合使用
single_parent=True,
# 明确指定连接条件
primaryjoin="foreign(Blog.content_id) == BlogContent.id"
)
# 评论（一对多）
comments = relationship(
"BlogComment",
# 与BlogComment的blog属性建立双向关系
back_populates="blog",
# 完全级联操作：博客删除时自动删除所有评论
cascade="all, delete-orphan",
# 明确指定连接条件
primaryjoin="Blog.id == foreign(BlogComment.blog_id)"
)
class BlogCategory(AuditBase):
name = Column(String(45), nullable=False, comment="类别名称")
blogs = relationship(
"Blog",
# 与Blog的category属性建立双向关系
back_populates="category",
# 完全级联操作：分类删除时自动删除所有关联的博客
# 警告：这会级联删除分类下的所有博客，包括博客的内容、访问记录和评论
cascade="all, delete-orphan",
# 明确指定连接条件
primaryjoin="BlogCategory.id == foreign(Blog.category_id)"
)
class BlogContent(IdBase):
content = Column(LargeBinary, nullable=False, comment="博客内容")
blog = relationship(
"Blog",
# 与Blog的content属性建立双向关系
back_populates="content",
# 设置为False表示一对一关系
uselist=False,
# 明确指定连接条件
primaryjoin="BlogContent.id == foreign(Blog.content_id)"
)
class BlogComment(AuditBase):
blog_id = Column(BigInteger, nullable=False, comment="博客ID")
parent_id = Column(BigInteger, nullable=False, comment="父评论ID")
name = Column(String(255), nullable=False, comment="评论人昵称")
website = Column(String(255), nullable=True, comment="评论人网站")
ip_address = Column(String(45), nullable=False, comment="评论人IP")
user_agent = Column(String(255), nullable=False, comment="评论人浏览器信息")
content = Column(String(255), nullable=False, comment="评论内容")
is_approved = Column(Boolean, nullable=False, default=False, comment="是否通过")
blog = relationship(
"Blog",
# 与Blog的comments属性建立双向关系
back_populates="comments",
# 明确指定连接条件
primaryjoin="foreign(BlogComment.blog_id) == Blog.id"
)
```
这里没有通过在数据库建立外键，而是通过SQLAlchemy中的relationship来建立。
其中primaryjoin明确指定了连接条件。如果为一对一，需要设置uselist=False和single_parent=True，返回单个对象而不是列表。
cascade表示级联操作：
```
# cascade 的完整可选值列表：
# 基本级联操作
"save-update" # 保存/更新时级联
"merge" # 合并会话时级联
"refresh-expire" # 刷新过期对象时级联
"expunge" # 从会话中移除时级联
"delete" # 删除时级联
"delete-orphan" # 成为孤儿时删除
# 快捷组合
"all" # 包含除 delete-orphan 外的所有操作
"all, delete-orphan" # 包含所有操作
"none" # 禁用所有级联（默认）
# 其他组合
"save-update, merge" # 常用组合
"save-update, merge, delete" # 包含删除
"save-update, merge, refresh-expire"
```
## 2.2 数据验证pydantic
```python
from typing import Optional
from pydantic import BaseModel, Field, field_validator, ConfigDict
from datetime import datetime
class BlogQuery(BaseModel):
"""博客查询参数"""
category: Optional[str] = Field(None, description="分类名称")
title: Optional[str] = Field(None, description="标题关键词")
year: Optional[int] = Field(None, description="发布年份", ge=2000, le=datetime.now().year)
@field_validator('year')
def validate_year(cls, v):
if v is not None and v > datetime.now().year:
raise ValueError('年份不能超过当前年份')
return v
class BlogBase(BaseModel):
"""博客基础模型"""
title: str = Field(..., min_length=1, max_length=255, description="博客标题")
top_value: int = Field(default=0, ge=0, description="置顶值，越大越靠前", alias="topValue")
is_great: bool = Field(default=False, description="是否是精品", alias="isGreat")
category: str = Field(..., min_length=1, max_length=45, description="分类名称")
content: Optional[str] = Field(None, description="博客内容")
is_approved: bool = Field(default=False, description="是否已发布", alias="isApproved")
@field_validator('title')
def title_not_empty(cls, v):
if not v or not v.strip():
raise ValueError('标题不能为空')
return v.strip()
@field_validator('category')
def category_not_empty(cls, v):
if not v or not v.strip():
raise ValueError('分类不能为空')
return v.strip()
class BlogCreate(BlogBase):
pass
class BlogUpdate(BlogBase):
pass
class BlogResponse(BlogBase):
id: int = Field(..., description="博客ID")
summary: Optional[str] = Field(None, description="内容摘要")
word_count: Optional[int] = Field(None, description="字数统计", alias="wordCount")
read_duration: Optional[float] = Field(None, description="阅读时长", alias="readDuration")
visit_count: Optional[int] = Field(0, description="访问次数", alias="visitCount")
create_time: datetime = Field(..., description="创建时间", alias="createTime")
update_time: datetime = Field(..., description="更新时间", alias="updateTime")
model_config = ConfigDict(
from_attributes=True,
populate_by_name=True,
json_encoders={
datetime: lambda dt: dt.strftime('%Y-%m-%d %H:%M:%S')
}
)
class BlogCategoryResponse(BaseModel):
name: str = Field(..., description="分类名称")
count: int = Field(..., description="博客数量")
model_config = ConfigDict(
from_attributes=True,
populate_by_name=True
)
class BlogStatsResponse(BaseModel):
blog_count: int = Field(..., description="博客总数", alias="blogCount")
category_count: int = Field(..., description="分类总数", alias="categoryCount")
word_count: int = Field(..., description="总字数", alias="wordCount")
class BlogVisitResponse(BaseModel):
ip: str = Field(..., description="IP地址")
os: str = Field(..., description="操作系统")
browser: str = Field(..., description="浏览器")
uri: str = Field(..., description="访问路径")
title: str = Field(None, description="博客标题")
visit_time: datetime = Field(..., description="访问时间", alias="visitTime")
model_config = ConfigDict(
from_attributes=True,
populate_by_name=True,
json_encoders={
datetime: lambda dt: dt.strftime('%Y-%m-%d %H:%M:%S')
}
)
class BlogLatestResponse(BaseModel):
id: int = Field(..., description="博客ID")
title: str = Field(..., description="博客标题")
model_config = ConfigDict(
from_attributes=True,
populate_by_name=True
)
class BlogAdjacentResponse(BaseModel):
id: int = Field(..., description="博客ID")
title: str = Field(..., description="博客标题")
model_config = ConfigDict(
from_attributes=True,
populate_by_name=True
)
class BlogCommentCreate(BaseModel):
parent_id: int = Field(default=0, ge=0, description="父评论ID，0表示顶级评论", alias="parentId")
name: str = Field(..., min_length=1, max_length=50, description="评论人昵称")
website: Optional[str] = Field(None, description="评论人网站")
content: str = Field(..., min_length=1, max_length=1000, description="评论内容")
@field_validator('name')
def name_not_empty(cls, v):
if not v or not v.strip():
raise ValueError('昵称不能为空')
return v.strip()
@field_validator('content')
def content_not_empty(cls, v):
if not v or not v.strip():
raise ValueError('评论内容不能为空')
return v.strip()
class BlogCommentResponse(BlogCommentCreate):
id: int = Field(..., description="评论ID")
ip_address: str = Field(..., description="IP地址", alias="ipAddress")
user_agent: str = Field(..., description="浏览器信息", alias="userAgent")
create_time: datetime = Field(..., description="创建时间", alias="createTime")
model_config = ConfigDict(
from_attributes=True,
populate_by_name=True,
json_encoders={
datetime: lambda dt: dt.strftime('%Y-%m-%d %H:%M:%S')
}
)
```
`@field_validator`为Pydantic V2的验证器装饰器。
`ConfigDict`为全局配置类，`from_attributes=True`表示允许从SQLAlchemy等ORM对象创建。`populate_by_name=True`表示允许通过字段的别名（alias）来赋值 `json_encoders`表示自定义特定类型的 JSON 序列化方式。
# 三、服务层
## 3.1 查询操作
```python
def query_blog_by_id(db: Session, blog_id: int) -> BlogResponse:
check_blog_exist(db, blog_id)
stmt = (select(
Blog.id,
Blog.title,
Blog.top_value,
Blog.is_great,
BlogCategory.name.label("category"),
Blog.summary,
BlogContent.content,
Blog.word_count,
Blog.read_duration,
func.count(BlogVisit.id).label("visitCount"),
Blog.is_approved,
Blog.create_time,
Blog.update_time
).where(Blog.id == blog_id)
.outerjoin(BlogCategory, Blog.category_id == BlogCategory.id)
.outerjoin(BlogContent, Blog.content_id == BlogContent.id)
.outerjoin(BlogVisit, Blog.id == BlogVisit.blog_id))
blog = db.execute(stmt).first()
return BlogResponse.model_validate(blog)
```
条件和分页查询
```python
def query_blog_by_condition(db: Session, blog_query: BlogQuery) -> List[BlogResponse]:
stmt = get_query_blog_by_condition_stmt(blog_query)
results = db.execute(stmt).fetchall()
return [BlogResponse.model_validate(result) for result in results]
def get_query_blog_by_condition_stmt(blog_query: BlogQuery):
stmt = (select(
Blog.id,
Blog.title,
Blog.top_value,
Blog.is_great,
BlogCategory.name.label("category"),
Blog.summary,
BlogContent.content,
Blog.word_count,
Blog.read_duration,
func.count(BlogVisit.id).label("visitCount"),
Blog.is_approved,
Blog.create_time,
Blog.update_time
).where(Blog.is_approved == 1)
.outerjoin(BlogCategory, Blog.category_id == BlogCategory.id)
.outerjoin(BlogContent, Blog.content_id == BlogContent.id)
.outerjoin(BlogVisit, Blog.id == BlogVisit.blog_id)
.group_by(Blog.id))
conditions = []
if blog_query.category:
conditions.append(BlogCategory.name == blog_query.category)
if blog_query.title:
conditions.append(Blog.title.like(f"%{blog_query.title}%"))
if blog_query.year:
conditions.append(func.extract('year', Blog.create_time) == blog_query.year)
if conditions:
stmt = stmt.where(and_(*conditions))
stmt = stmt.order_by(desc(Blog.is_great), desc(Blog.update_time))
return stmt
def query_blog_by_condition_page(db: Session, blog_query: BlogQuery,
current_page: int = 1, page_size: int = 10) -> PageResult[BlogResponse]:
stmt = get_query_blog_by_condition_stmt(blog_query)
return paginate_query(db, stmt, current_page, page_size)
def paginate_query(db: Session, query, current_page: int = 1, page_size: int = 10) -> PageResult:
"""通用分页查询函数"""
# 计算总记录数
total = db.execute(select(func.count()).select_from(query.subquery())).scalar_one_or_none() or 0
# 计算总页数
total_pages = (total + page_size - 1) // page_size if page_size != 0 else 0
# 执行分页查询
results = db.execute(query.offset((current_page - 1) * page_size).limit(page_size)).all()
# 转换为字典列表
records = [row._asdict() if hasattr(row, "_asdict") else dict(row) for row in results]
return PageResult(
current=current_page,
size=page_size,
total=total,
pages=total_pages,
records=records
)
```
## 3.2 新增操作
```python
def add_blog(db: Session, blog: BlogCreate) -> bool:
word_count = get_word_count(blog.content)
db_blog = Blog(
title=blog.title,
top_value=blog.top_value,
is_great=blog.is_great,
category_id=add_blog_category(db, blog.category),
summary=get_blog_summary(blog.content),
word_count=word_count,
read_duration=get_read_duration(word_count),
is_approved=blog.is_approved
)
# 级联新增
db_blog.content = BlogContent(content=blog.content.encode('utf-8'))
db.add(db_blog)
db.commit()
db.refresh(db_blog)
return True
```
这里的`db_blog.content`可以直接赋值`BlogContent`对象实现级联新增，不用传`content_id`。
::: warning
这里的category和blog是多对一的关系，且需要一定的逻辑处理，不能直接赋值`BlogCategory`对象，否则每新增一条博客都会新增一个`category`。
:::
## 3.3 更新操作
```python
def update_blog(db: Session, blog_id: int, blog: BlogUpdate) -> bool:
db_blog = check_blog_exist(db, blog_id)
db_blog.title = blog.title
db_blog.top_value = blog.topValue
db_blog.is_great = blog.isGreat
db_blog.category_id = update_blog_category(db, blog.category)
# 级联更新
db_blog.content = BlogContent(content=blog.content.encode('utf-8'))
word_count = get_word_count(blog.content)
db_blog.summary = get_blog_summary(blog.content),
db_blog.word_count = word_count
db_blog.read_duration = get_read_duration(word_count)
db_blog.is_approved = blog.isApproved
db.commit()
db.refresh(db_blog)
return True
```
## 3.4 删除操作
```python
def delete_blog(db: Session, blog_id: int) -> bool:
db_blog = check_blog_exist(db, blog_id)
# 级联删除
db.delete(db_blog)
db.commit()
return True
```
# 四、路由层
```python
router = APIRouter(
prefix="/blog",
tags=["博客管理"],
responses={404: {"description": "Not found"}}
)
@router.get("/page", summary="分页查询博客", response_model=PageResult[BlogResponse])
def query_blog_by_page(
current_page: int = Query(1, ge=1, alias="currentPage", description="当前页码，从1开始"),
page_size: int = Query(10, ge=1, le=100, alias="pageSize", description="每页显示数量，1-100之间"),
db: Session = Depends(get_db)
):
return blog_service.query_blog_by_page(db, current_page, page_size)
@router.get("/condition", summary="条件查询博客", response_model=List[BlogResponse])
def query_blog_by_condition(query: BlogQuery = Depends(), db: Session = Depends(get_db)):
return blog_service.query_blog_by_condition(db, query)
@router.post("", summary="新增博客内容", response_model=bool)
def add_blog(
blog: BlogCreate = Body(..., description="博客创建数据"),
db: Session = Depends(get_db),
_=Depends(verify_token)
):
return blog_service.add_blog(db, blog)
@router.put("/{blog_id}", summary="更新博客内容", response_model=bool)
def update_blog(
blog_id: int = Path(..., ge=1, description="博客ID"),
blog: BlogUpdate = Body(..., description="博客更新数据"),
db: Session = Depends(get_db),
_=Depends(verify_token)
):
return blog_service.update_blog(db, blog_id, blog)
@router.delete("/{blog_id}", summary="删除博客内容", response_model=bool)
def delete_blog(
blog_id: int = Path(..., ge=1, description="博客ID"),
db: Session = Depends(get_db),
_=Depends(verify_token)
):
return blog_service.delete_blog(db, blog_id)
@router.put("/{blog_id}/comment", summary="新增博客评论", response_model=bool)
def add_blog_comment(
request: Request,
blog_id: int = Path(..., ge=1, description="博客ID"),
blog_comment: BlogCommentCreate = Body(..., description="博客评论数据"),
db: Session = Depends(get_db)
):
return blog_service.add_blog_comment(db, request, blog_id, blog_comment)
```
路由装饰器参数中的`response_model`表示定义接口返回的数据模型。
参数注解中的`Query()`表示参数来自URL查询字符串，`Path/Query/Body`分别对应路径参数、查询参数、请求体参数。
`Depends()`表示依赖注入，自动解析参数或执行依赖函数。
`db: Session = Depends(get_db)`表示获取数据库连接，`_=Depends(verify_token)`表示验证用户身份。
`request: Request`可以获取到HTTP请求的完整上下文信息。
::: tip
这里的`query: BlogQuery = Depends()`会从查询参数中自动实例化`BlogQuery`对象，并进行数据验证和类型转换。
:::
注册路由：
```python
from fastapi import FastAPI
from .blog import router as blog_router
def register_routers(app: FastAPI):
app.include_router(blog_router, prefix="")
# main.py
app = FastAPI(title="Blog Service")
register_routers(app)
```
# 五、中间件
## 5.1 全局异常处理器
```python
from fastapi import Request, HTTPException, status
from fastapi.responses import JSONResponse
from sqlalchemy.exc import SQLAlchemyError
from config.logging import logger
# 自定义异常类
class AppException(Exception):
def __init__(self, message: str, details=None):
self.message = message
self.details = details
# 全局异常处理中间件
async def global_exception_handler(request: Request, call_next):
try:
# 记录请求信息（可选）
logger.info(f"请求: {request.method} {request.url}")
if request.query_params:
logger.info(f"查询参数: {dict(request.query_params)}")
response = await call_next(request)
# 记录响应信息（可选）
if response.status_code >= 400:
logger.warning(f"响应: {response.status_code}")
return response
except AppException as e:
# 记录业务异常
logger.error(f"业务异常: {e.message} - 详情: {e.details}")
return JSONResponse(status_code=status.HTTP_400_BAD_REQUEST,
content={"message": e.message, "details": e.details})
except SQLAlchemyError as e:
# 记录数据库异常
logger.critical(f"数据库异常: {str(e)}")
return JSONResponse(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
content={"message": "数据库操作失败", "details": str(e)})
except Exception as e:
# 记录未知异常（带堆栈信息）
logger.critical(f"未知异常: {str(e)}")
return JSONResponse(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
content={"code": 500, "message": "服务器内部错误", "details": str(e)})
def get_credentials_exception() -> HTTPException:
return HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
```
## 5.2 日志处理器
```python
import atexit
import sys
from fluent import sender
from loguru import logger
from config.setting import settings
FLUENTD_HOST = settings.FLUENTD_HOST
FLUENTD_PORT = 24224
TOPIC_TAG = 'blog-service'
# 日志级别
LOG_LEVEL = settings.LOG_LEVEL.upper()
# 日志格式
STDOUT_FORMAT = (
"{time:YYYY-MM-DD HH:mm:ss.SSS} | "
"{level: <8} | "
"{name}:{function}:{line} - "
"{message}"
)
FILE_FORMAT = (
"{time:YYYY-MM-DD HH:mm:ss.SSS} | "
"{level: <8} | "
"{name}:{function}:{line} - {message}"
)
fluent_sender = sender.FluentSender(
tag=TOPIC_TAG,
host=FLUENTD_HOST,
port=FLUENTD_PORT,
buffer_max_size=8 * 1024 * 1024,
timeout=3.0,
retry_timeout=60
)
def log_to_fluent(message):
try:
record = message.record
# 构建结构化日志数据
log_data = {
'topic': TOPIC_TAG,
'timestamp': record['time'].timestamp(),
'level': record['level'].name.lower(),
'message': record['message'],
'source': f"{record['file'].path}:{record['line']}",
'module': record['module'],
'function': record['function'],
'process_id': record['process'].id,
'thread_id': record['thread'].id,
**record['extra']
}
if not fluent_sender.emit(TOPIC_TAG, log_data):
print(f"Fluentd 发送失败: {fluent_sender.last_error}")
except Exception as e:
print(f"日志处理异常: {str(e)}")
# 移除默认处理器
logger.remove()
# 添加控制台处理器
logger.add(
sink=sys.stdout,
level=LOG_LEVEL,
format=STDOUT_FORMAT,
colorize=True,
backtrace=True, # 显示完整异常堆栈
diagnose=True, # 显示详细异常信息
)
if settings.ENVIRONMENT == 'docker':
logger.add(
log_to_fluent,
level=LOG_LEVEL, # 处理 INFO 及以上级别
format="{message}", # 原始消息（实际使用结构化数据）
backtrace=True, # 启用堆栈回溯
diagnose=True # 显示诊断信息
)
atexit.register(fluent_sender.close)
# 导出配置好的logger
__all__ = ["logger"]
```