首页 > 其他分享 >32 项目结构 & 事务 & Logging日志

32 项目结构 & 事务 & Logging日志

时间：2023-01-25 17:23:21浏览次数：34  
标签：Logging 32 class framework import logging 日志 response

1 项目结构

以下主要是以drf编写api时的结构为示例。

1.1 APP结构

1.1.1 单APP

例如：订单系统

image


1.1.2 Base + 业务APP

例如：供应链系统

image


1.1.3 独立的APP

app中的功能各自独立的，每个app中编写自己的 models / views 等。

image


1.2 视图结构

1.2.1 view.py

image


1.2.2 views + 文件

根据业务拆分成多个视图文件，每个视图文件中实现指定的一些业务。

image


1.2.3 views + 文件夹

image


这里的router路由需要注意：

image


1.3 返回值

1.3.1 自定义mixins

将视图中的 mixins相关的视图重写，业务视图继承自己视图，对于各种情况的返回值进行定制：

1.内置返回

对于认证、权限等组件进行自定义，实现返回自定义的格式数据。

image


2.视图返回

对于用户请求的返回值进行定制。

image


1.3.2 自定义异常处理机制

在之前学习源码时，我们知道：请求到来都会执行dispatch方法，在 try...except代码块中：

  • 触发：认证、权限、限流等
  • 执行视图
  • 上述过程如果出现异常，则由 self.handle_exception(exc)对异常处理并封装返回值，然后返回。

image


1.handle_exception源码

image

image

image

image


2.自定义exception_handler

详细案例见：dbhot11.zip

utils/handlers.py 
from django.http import Http404

from rest_framework import exceptions
from rest_framework.response import Response
from rest_framework.exceptions import ValidationError
from rest_framework.exceptions import Throttled
from rest_framework.exceptions import PermissionDenied
from rest_framework.exceptions import NotAuthenticated
from rest_framework.exceptions import AuthenticationFailed
from rest_framework.views import set_rollback


def exception_handler(exc, context):
    if isinstance(exc, Http404):
        exc = exceptions.NotFound()
        exc.ret_code = 1001
    elif isinstance(exc, PermissionDenied):
        exc = exceptions.PermissionDenied()
        exc.ret_code = 1002
    elif isinstance(exc, (AuthenticationFailed, NotAuthenticated)):
        exc.ret_code = 1003
    elif isinstance(exc, Throttled):
        exc.ret_code = 1004
    elif isinstance(exc, ValidationError):
        exc.ret_code = 1005

    # 只处理drf相关的异常
    if isinstance(exc, exceptions.APIException):
        headers = {}
        if getattr(exc, 'auth_header', None):
            headers['WWW-Authenticate'] = exc.auth_header
        if getattr(exc, 'wait', None):
            headers['Retry-After'] = '%d' % exc.wait

        if isinstance(exc.detail, (list, dict)):
            data = exc.detail
        else:
            code = getattr(exc, 'ret_code', None) or -1
            data = {'code': code, 'detail': exc.detail}

        set_rollback()
        return Response(data, status=exc.status_code, headers=headers)
    return None
utils/exceptions.py 
from rest_framework import exceptions


class ExtraException(exceptions.APIException):

    def __init__(self, detail=None, ret_code=None, code=None):
        super().__init__(detail, code)
        self.ret_code = ret_code
views.py 
from rest_framework import exceptions
from rest_framework import serializers
from rest_framework.viewsets import GenericViewSet
from rest_framework.mixins import ListModelMixin
from rest_framework.mixins import CreateModelMixin, RetrieveModelMixin, DestroyModelMixin, UpdateModelMixin
from rest_framework.authentication import BaseAuthentication
from rest_framework.permissions import BasePermission
from rest_framework.throttling import BaseThrottle

from api import models
from utils.exceptions import ExtraException


class ExtraAuthentication(BaseAuthentication):
    def authenticate(self, request):
        raise exceptions.AuthenticationFailed("认证失败")

    def authenticate_header(self, request):
        return "api"


class ExtraPermission(BasePermission):
    def has_permission(self, request, view):
        return False

    def has_object_permission(self, request, view, obj):
        return False


class ExtraThrottle(BaseThrottle):
    def allow_request(self, request, view):
        return False


class DemoSerializer(serializers.ModelSerializer):
    class Meta:
        model = models.UserInfo
        fields = "__all__"


class DemoView(ListModelMixin, CreateModelMixin, RetrieveModelMixin, DestroyModelMixin, UpdateModelMixin,
               GenericViewSet):
    # authentication_classes = [ExtraAuthentication]
    # throttle_classes = [ExtraThrottle]
    # permission_classes = [ExtraPermission]
    queryset = models.UserInfo.objects.all()
    serializer_class = DemoSerializer

    def perform_create(self, serializer):
        self.dispatch
        if True:
            # 自定义错误
            # raise ExtraException("数据异常")
            raise ExtraException("更新失败", ret_code=9000)
        serializer.save()

    def finalize_response(self, request, response, *args, **kwargs):
        response = super().finalize_response(request, response, *args, **kwargs)
        if response.exception:
            return response

        response.data = {'code': 0, 'data': response.data}
        return response

3.正常返回

image

image

def finalize_response(self, request, response, *args, **kwargs):
    response = super().finalize_response(request, response, *args, **kwargs)
    if response.exception:
        return response

    response.data = {'code': 0, 'data': response.data}
    return response

可以通过自定义 DrfGenericViewSet：

from rest_framework.viewsets import GenericViewSet as DrfGenericViewSet


class GenericViewSet(DrfGenericViewSet):
    def finalize_response(self, request, response, *args, **kwargs):
        response = super().finalize_response(request, response, *args, **kwargs)
        if response.exception:
            return response
        response.data = {'code': 0, 'data': response.data}
        return response

可以定义到中间件中使用：

from django.utils.deprecation import MiddlewareMixin


class ReturnCodeMiddleware(MiddlewareMixin):
    def process_response(self, request, response):
        if not hasattr(response, 'exception'):
            return response

        if response.exception:
            return response

        response.data = {'code': 0, 'data': response.data}
        response._is_rendered = False
        response.content = response.render().content
        return response

2 事务

2.1 局部事务（*）

基于上下文管理，如果出现异常则自动回滚；无异常则自动提交。

from rest_framework.views import APIView
from rest_framework.response import Response
from django.db import transaction
from api import models


class Demo1View(APIView):
    def get(self, request, *args, **kwargs):
        try:
            with transaction.atomic():
                models.UserInfo.objects.create(name='v1', age=1)
                models.Order.objects.create(name='v1', age=1)
        except Exception as e:
            print("异常，自动回滚")

        return Response("...")

事务提交的回调函数（本质上就是事务完成后，自动执行一个函数）：

from rest_framework.views import APIView
from rest_framework.response import Response
from django.db import transaction
from api import models
from functools import partial


def db_success_callback(*args, **kwargs):
    print(args, **kwargs)

class Demo1View(APIView):
    def get(self, request, *args, **kwargs):
        try:
            with transaction.atomic():
                # 回调函数，事务正常提交自动执行
                transaction.on_commit(db_success_callback)
                transaction.on_commit( partial(db_success_callback, 11, 22, 33) )

                models.UserInfo.objects.create(name='v1', age=1)
                models.Order.objects.create(title='v1', count=1)
        except Exception as e:
            print("异常，自动回滚") # on_commit回调函数内部异常时不会回滚

        return Response("...")

回滚到 指定事务点：

from rest_framework.views import APIView
from rest_framework.response import Response
from django.db import transaction
from api import models


class Demo1View(APIView):
    def get(self, request, *args, **kwargs):
        try:
            with transaction.atomic():
                # 回调函数，事务正常提交自动执行
                n1 = transaction.savepoint()
                models.UserInfo.objects.create(name='v1', age=1)
                n2 = transaction.savepoint()
                models.UserInfo.objects.create(name='v2', age=1)

                # 必须在事务里面，回顾到指定 事务点，后续东西不提交
                transaction.savepoint_rollback(n2)
        except Exception as e:
            print("异常，自动回滚", e)  # on_commit回调函数内部异常时不会回滚

        return Response("...")

2.2 视图事务

针对整个视图进行开启事务：

  • 视图内，有数据库操作异常，自动回滚
  • 视图内，有其他异常，不会回滚。
from rest_framework.views import APIView
from rest_framework.response import Response
from django.db import transaction, IntegrityError
from api import models


class Demo1View(APIView):

    @transaction.atomic
    def get(self, request, *args, **kwargs):
        try:
            models.UserInfo.objects.create(name='v100', age=1)
            models.UserInfo.objects.create(name="v200", age="xxx")  # 有异常，回滚，即：v100不会保存
            int("asdf")   # 有异常，不会滚，即：两条数据正常保存到数据库
        except Exception as e:
            pass
        return Response("...")

定义事务点，自定义回滚位置：

from rest_framework.views import APIView
from rest_framework.response import Response
from django.db import transaction, IntegrityError
from api import models


class Demo1View(APIView):

    @transaction.atomic
    def get(self, request, *args, **kwargs):
        try:
            models.UserInfo.objects.create(name='v10', age=1)
            n1 = transaction.savepoint()
            models.UserInfo.objects.create(name="v11", age=1)
            n2 = transaction.savepoint()
            models.UserInfo.objects.create(name='v12', age=1)
            n3 = transaction.savepoint()
            models.UserInfo.objects.create(name='v13', age=1)

            # 后续读取到某些值后，发现 v12不应该创建，那么就可以主动回滚（只生成n2之前的）
            transaction.savepoint_rollback(n2)
        except Exception as e:
            print("有异常", e)
        return Response("...")

2.3 全局事务

效率低：项目中一般不会使用。

如果想要开启全局事务，需要在连接数据库时多设置一个参数：

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.mysql',
        'NAME': 'dbhot4',
        'USER': 'root',
        'PASSWORD': 'root123',
        'HOST': '127.0.0.1',
        'PORT': '3306',
        'ATOMIC_REQUESTS': True
    }
}

  • 只要视图函数执行异常，无论是什么原因触发，均自动回滚。

    class Demo1View(APIView):
    def get(self, request, *args, **kwargs):
        models.UserInfo.objects.create(name='v1', age=1)
        models.UserInfo.objects.create(xxxxxxx='v2', age=1) # 错误
        return Response("...")

    class Demo1View(APIView):
    def get(self, request, *args, **kwargs):
        models.UserInfo.objects.create(name='v1', age=1)
        models.UserInfo.objects.create(name='v2', age=1)
        int("asdf")  # 错误
        return Response("...")

  • 如果视图函数执行不报错（try处理异常，也叫不报错），则不会回滚

    class Demo1View(APIView):
    def get(self, request, *args, **kwargs):
        try:
            models.UserInfo.objects.create(name='v1', age=1)
            models.UserInfo.objects.create(xxxxxxx='v2', age=1)
            int("xxx")
        except Exception as e:
            pass
        return Response("...")

# 视图函数执行没有报错，不会滚回。

如果开启了全局事务，想要免除某个指定的函数不需要开启事务，则可以使用：

from rest_framework.views import APIView
from rest_framework.response import Response
from django.db import transaction, IntegrityError
from api import models
from django.utils.decorators import method_decorator


@method_decorator(transaction.non_atomic_requests, name='dispatch')
class Demo1View(APIView):

    def get(self, request, *args, **kwargs):
        models.UserInfo.objects.create(name='v100', age=1)
        models.UserInfo.objects.create(name="v200", age="xxx") # 报错
        return Response("...")

3 Logging日志

什么时候用到日志？

  • 可预知的情况，写日志
  • 不可预知情况，写日志

3.1 基础版

CRITICAL = 50
FATAL = CRITICAL
ERROR = 40
WARNING = 30
WARN = WARNING
INFO = 20
DEBUG = 10
NOTSET = 0

import logging

# 1. 对日志进行配置
logging.basicConfig(
    filename='error.log',  # 日志文件
    format='%(asctime)s :  %(message)s',  # 写日志时，文件的格式。
    datefmt='%Y-%m-%d %H:%M:%S %p',
    level=20  # 级别，以后只有大于20的级别时，才能真正日志内容写入到文件中。
)

# 2.写日志
"""
CRITICAL = 50
FATAL = CRITICAL
ERROR = 40
WARNING = 30
WARN = WARNING
INFO = 20
DEBUG = 10
NOTSET = 0
"""
logging.debug("你好呀")  # 10,你好呀
logging.info("中午好")  # 10,你好呀
logging.error("你傻呀")  # 40,你傻呀

image

默认这种形式不支持在文件中写入日志：

import logging
import traceback

# 1. 对日志进行配置
logging.basicConfig(
    filename='v10.log',  # 日志文件
    format='%(asctime)s :  %(message)s',  # 写日志时，文件的格式。
    datefmt='%Y-%m-%d %H:%M:%S %p',
    level=20  # 级别，以后只有大于20的级别时，才能真正日志内容写入到文件中。
)

# 2. 对日志进行配置（不生效，因为已配置过后生成在内存，不再支持设置）
logging.basicConfig(
    filename='v100.log',  # 日志文件
    format='%(asctime)s :  %(message)s',  # 写日志时，文件的格式。
    datefmt='%Y-%m-%d %H:%M:%S %p',
    level=20  # 级别，以后只有大于20的级别时，才能真正日志内容写入到文件中。
)


logging.error("沙雕alex")

3.2 对象版（支持多文件）

  • Formatter，格式化。

  • FileHandler，维护文件，专门用于往文件中写内容。

  • Logger，定义级别，大于这个级别才调用 FileHandler 去写内容。

  • 写日志

    logger = Logger()
logger.error("内容") # 10 "xxx"

示例1：

import logging

# 定义 Formatter
fmt = logging.Formatter(fmt="%(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s")

# 定义 FileHandler
handler_object = logging.FileHandler('v2.log', 'a', encoding='utf-8')
handler_object.setFormatter(fmt)

# 定义 Logger
logger_object = logging.Logger('s1', level=logging.INFO)  # 20
logger_object.addHandler(handler_object)

# ===>写日志<====
logger_object.error("alex是个大sb") # 40>20则写入日志

示例2：

import logging

# 定义 Formatter
fmt = logging.Formatter(fmt="%(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s")

# 定义 FileHandler
handler_object = logging.FileHandler('v2.log', 'a', encoding='utf-8')
handler_object.setFormatter(fmt)

handler_object2 = logging.FileHandler('v22.log', 'a', encoding='utf-8')
handler_object2.setFormatter(fmt)

# 定义 Logger
logger_object = logging.Logger('s1', level=logging.INFO)  # 20
logger_object.addHandler(handler_object)
logger_object.addHandler(handler_object2)

# 写日志
logger_object.error("alex是个大sb")

3.3 配置版

示例1：简单配置

import logging.config

# 1. 定义字典
LOGGING_CONFIG = {
    "version": 1,
    "disable_existing_loggers": True,  # 删除已存在其他日志的Handler
    'formatters': {
        'standard': {
            'format': '{asctime} {levelname} ：{message}',
            'style': '{',
            "datefmt": '%Y-%m-%d %H:%M:%S %p',
        },
    },
    'handlers': {
        'console': {
            'class': 'logging.StreamHandler',  # 写到终端的输出流中
            'formatter': 'standard',  # 用到的什么格式
        },
        'demo': {
            "class": 'logging.handlers.RotatingFileHandler',  # 写到文件中
            'formatter': 'standard',
            'filename': 'demo.log',  # 日志的文件名
            'maxBytes': 1024,  # 根据文件大小拆分日志
            'backupCount': 30,  # 5份文件
            "encoding": "utf-8"
        }
    },
    'loggers': {
        'nb': {
            'handlers': ['console', 'demo'],
            'level': "INFO",  # >=20 则触发日志
            'propagate': False
        }
    }
}

# 2. 根据自定对logging进行配置
logging.config.dictConfig(LOGGING_CONFIG)

# 3. 写日志
logger_object = logging.getLogger("nb")
logger_object.info('6666666666')

示例2：多文件配置

import logging.config

# 1. 定义字典
LOGGING_CONFIG = {
    "version": 1,
    "disable_existing_loggers": True,  # 删除已存在其他日志的Handler
    'formatters': {
        'standard': {
            'format': '{asctime} {levelname} {threadName} ：{message}',
            'style': '{',
            "datefmt": '%Y-%m-%d %H:%M:%S %p',
        },
        'simple': {
            'format': '%(asctime)s %(levelname)s  %(message)s',
            'style': '%',
            "datefmt": '%Y-%m-%d',
        },
    },
    'handlers': {
        'console': {
            'class': 'logging.StreamHandler',
            'formatter': 'simple',
        },
        'run': {
            # 运行日志，按天自动分割
            "class": 'logging.handlers.TimedRotatingFileHandler',  # 基于时间
            'formatter': 'standard',
            'filename': "run.log",
            'when': 'D',  # 根据天拆分日志
            'interval': 1,  # 1天
            'backupCount': 3,  # 保留备份
            "encoding": "utf-8"
        },
        'error': {
            # 错误日志，按照文件大小分割
            "class": 'logging.handlers.RotatingFileHandler',
            'formatter': 'standard',
            'filename': 'error.log',
            'maxBytes': 1024 * 1025 * 50,  # 根据文件大小拆分日志 50M
            'backupCount': 5,
            "encoding": "utf-8"
        },
    },
    'loggers': {
        'run': {
            'handlers': ['run'],
            'level': "INFO",  # >=20 则触发日志
            'propagate': True  # 触发父级-->’root'
        },
        'error': {
            'handlers': ['console', 'error'],
            'level': "ERROR",  # >=20 则触发日志
            'propagate': False
        }
    },
    'root': {
        'handlers': ['console', ],
        'level': 'DEBUG',
        'propagate': True
    }
}

# 2. 根据自定对logging进行配置
logging.config.dictConfig(LOGGING_CONFIG)

# 3. 写日志
# root = logging.getLogger()
# root.info("测试测试")

# run = logging.getLogger('run')
# run.info("测试测试")

# run = logging.getLogger('error')
# run.info("有信息了")
# run.error("错误了")

示例3：过滤

import logging


class CallbackFilter(logging.Filter):
    def __init__(self, callback):
        self.callback = callback

    def filter(self, record):
        if self.callback(record):
            return True
        return False


class DynamicFilter(logging.Filter):
    def filter(self, record):
        # record，包含了日志相关的对象 logging.LogRecord
        # print(record, type(record))
        if not record.msg:
            return False
        return True

import logging.config

# 1. 定义字典
LOGGING_CONFIG = {
    "version": 1,
    "disable_existing_loggers": True,  # 删除已存在其他日志的Handler
    'formatters': {
        'standard': {
            'format': '{asctime} {levelname} {threadName} ：{message}',
            'style': '{',
            "datefmt": '%Y-%m-%d %H:%M:%S %p',
        },
        'simple': {
            'format': '%(asctime)s %(levelname)s  %(message)s',
            'style': '%',
            "datefmt": '%Y-%m-%d',
        },
    },
    "filters": {
        "dy": {
            "()": "utils.DynamicFilter"
        },
        "call": {
            "()": "utils.CallbackFilter",
            "callback": lambda record: len(record.msg) > 4
        }
    },
    'handlers': {
        'console': {
            'class': 'logging.StreamHandler',
            'formatter': 'simple',
        },
        'run': {
            # 运行日志，按天自动分割
            "class": 'logging.handlers.TimedRotatingFileHandler',
            'formatter': 'standard',
            'filters': ["dy", 'call'],
            'filename': "run.log",
            'when': 'D',  # 根据天拆分日志
            'interval': 1,  # 1天
            'backupCount': 3,  # 保留备份
            "encoding": "utf-8"
        },
        'error': {
            # 错误日志，按照文件大小分割
            "class": 'logging.handlers.RotatingFileHandler',
            'formatter': 'standard',
            'filename': 'error.log',
            'maxBytes': 1024 * 1025 * 50,  # 根据文件大小拆分日志 50M
            'backupCount': 5,
            "encoding": "utf-8"
        },
    },
    'loggers': {
        'run': {
            'handlers': ['run'],
            'level': "INFO",  # >=20 则触发日志
            'propagate': True
        },
        'error': {
            'handlers': ['console', 'error'],
            'level': "ERROR",  # >=20 则触发日志
            'propagate': False
        }
    },
    'root': {
        'handlers': ['console', ],
        'level': 'DEBUG',
        'propagate': True
    }
}

# 2. 根据自定对logging进行配置
logging.config.dictConfig(LOGGING_CONFIG)

# 3. 写日志
run = logging.getLogger('run')
run.info("测试测xxxxx")

3.4 Django

###########
# LOGGING #
###########
import os
# BASE_LOG_DIR = BASE_DIR / 'log'
BASE_LOG_DIR = os.path.join(BASE_DIR, 'log')
BASE_LOG_DIR.mkdir(exist_ok=True)  # 文件夹不存在则创建，存在不创建

# The callable to use to configure logging
LOGGING_CONFIG = "logging.config.dictConfig"

# Custom logging configuration.
# 1. 定义字典
LOGGING = {
    "version": 1,
    "disable_existing_loggers": False,  # 删除已存在其他日志的Handler
    'formatters': {
        'standard': {
            'format': '{asctime} {levelname} {threadName} ：{message}',
            'style': '{',
            "datefmt": '%Y-%m-%d %H:%M:%S %p',
        },
        'simple': {
            'format': '%(asctime)s %(levelname)s  %(message)s',
            'style': '%',
            "datefmt": '%Y-%m-%d',
        },
    },
    # "filters": {
    #     "dy": {
    #         "()": "django.utils.log.RequireDebugFalse"
    #     },
    #     "call": {
    #         "()": "django.utils.log.CallbackFilter",
    #         "callback": lambda record: len(record.msg) > 4
    #     }
    # },
    'handlers': {
        'console': {
            'class': 'logging.StreamHandler',
            'formatter': 'simple',
        },
        'run': {
            # 运行日志，按天自动分割
            "class": 'logging.handlers.TimedRotatingFileHandler',
            'formatter': 'standard',
            # 'filters': ["dy", 'call'],
            'filename': os.path.join(BASE_LOG_DIR, 'run.log'),
            'when': 'D',  # 根据天拆分日志
            'interval': 1,  # 1天
            'backupCount': 3,  # 保留备份
            "encoding": "utf-8"
        },
        'error': {
            # 错误日志，按照文件大小分割
            "class": 'logging.handlers.RotatingFileHandler',
            'formatter': 'standard',
            'filename': os.path.join(BASE_LOG_DIR, 'error.log'),
            'maxBytes': 1024 * 1025 * 50,  # 根据文件大小拆分日志 50M
            'backupCount': 5,
            "encoding": "utf-8"
        },
    },
    'loggers': {
        'run': {
            'handlers': ['run'],
            'level': "INFO",  # >=20 则触发日志
            'propagate': True
        },
        'error': {
            'handlers': ['console', 'error'],
            'level': "ERROR",  # >=40 则触发日志
            'propagate': False
        }
    },
    'root': {
        'handlers': ['console', ],
        'level': 'DEBUG',
        'propagate': True
    }
}

logger = logging.getLogger("error")
logger.error("...")

logger = logging.getLogger("run")
logger.info("...")

logger = logging.getLogger()
logger.info("...")

标签：Logging,32,class,framework,import,logging,日志,response
From： https://www.cnblogs.com/mimiICC/p/17067076.html

相关文章

赞助商

阅读排行

网站主页关于我们联系我们网站地图

本网站内容转载自其他媒体，侵权联系[admin##ips99.com]。

Copyright © 2020-2023 IPS99 版权所有 IPS99