云python服务器 python 云服务
如今是云时代,公司买服务器也从传统的IDC托管到现在的各大云厂商采购 。这里,我们将以阿里云、腾讯云为例实现云服务器实例的获取。
1、首先部署django环境,然后安装django drf, 把drf注册到APPS中
INSTALLED_APPS =[ ...'rest_framework', ]2、在项目下新建一个Python Package命名为apps,settting.py配置路径, IDE把apps设置成Mark Directory as source root
importosimportsys#Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, os.path.join(BASE_DIR,'apps'))3、在apps可以创建app了, 创建python package命名为resources,然后把resources注册到APPS中
4、在resources下新建个models.py设计数据表,这一步,可以先获取阿里云和腾讯云的实例返回结果,然后再进行设计。然后把表同步到数据库
5、在 resources新建两个python package分别命名为aliyun(阿里云)、qcloud(腾讯云), 加下来就需要用到他们的Python SDK了
6、在settings.py中配置他们的secretId、secretKey、regions(区域)
#ALIYUN ALIYUN_SECRETID = 'xxxxxxxxxxx'ALIYUN_SECRETKEY= 'xxxxxxxxxxxxxxxxx'ALIYUN_REGIONS= ["xxxx"]#QCLOUD QCLOUD_SECRETID = 'xxxxxxxxxxx'QCLOUD_SECRETKEY= 'xxxxxxxxxxx'QCLOUD_REGIONS= ["xxxx"] settings.py阿里云
编辑aliyun.__init__.py
from django.conf importsettingsfrom aliyunsdkcore importclientdefgetClient():for region insettings.ALIYUN_REGIONS:try:returnclient.AcsClient(settings.ALIYUN_SECRETID, settings.ALIYUN_SECRETKEY, region)exceptException as err:print('获取阿里云client失败:', err) aliyun.__init__.py新建aliyun.ecs.py
importjsonfrom resources.aliyun importgetClientfrom aliyunsdkecs.request.v20140526.DescribeInstancesRequest importDescribeInstancesRequestfrom resources.serializers importServerSerializerdefgetInnerIps(VpcAttributes):return VpcAttributes['PrivateIpAddress']['IpAddress']defgetPlublicIps(EipAddress): ip_list=[] ip_list.append(EipAddress['IpAddress'])returnip_listdefsaveInstance(instance):#print(instance) data ={} data['cloud'] = 'aliyun'data['instanceId'] = instance['InstanceId'] data['instanceName'] = instance['InstanceName'] data['instanceType'] = instance['InstanceType'] data['osName'] = instance['OSName'] data['cpu'] = instance['Cpu'] data['memory'] = int(instance['Memory'] / 1024) data['createdTime'] = instance['CreationTime'] data['expiredTime'] = instance['ExpiredTime'] data['innerIps'] = getInnerIps(instance['VpcAttributes']) data['publicIps'] = getPlublicIps(instance['EipAddress']) serializer= ServerSerializer(data=data)ifserializer.is_valid(): serializer.save()else:print('阿里云序列化错误:', serializer.errors)defgetEcsList(): client=getClient() request=DescribeInstancesRequest() request.set_accept_format('json') request.set_InstanceNetworkType= 'vpc'request.set_PageSize(100)try: resp=client.do_action(request) data=json.loads(resp) instances= data['Instances']['Instance']#saveInstance(instances[0]) print(len(instances))for instance ininstances: saveInstance(instance)exceptException as err:print('获取阿里云实例失败:', err) aliyun.ecs.py腾讯云
编辑qcloud.__init__.py
from django.conf importsettingsfrom tencentcloud.common importcredentialfrom tencentcloud.common.exception.tencent_cloud_sdk_exception importTencentCloudSDKExceptiondefgetCredential():try:returncredential.Credential(settings.QCLOUD_SECRETID, settings.QCLOUD_SECRETKEY)exceptTencentCloudSDKException as err:print(err)
qcloud.__init__.py
创建qcloud.cvm.py
序列化和反序列化
创建resources.serializers.py
新建resources.views.py
from django.http importHttpResponsefrom rest_framework importviewsetsfrom django.views importViewfrom resources.qcloud importcvmfrom resources.aliyun importecsfrom . serializers importServerSerializerfrom . models importServerclassQtest(View):def get(self, request, *args, **kwargs): cvm.getCvmList()return HttpResponse('Qtest')classAtest(View):def get(self, request, *args, **kwargs): ecs.getEcsList()return HttpResponse('Atest')classServerViewSet(viewsets.ModelViewSet): queryset=Server.objects.all() serializer_class= ServerSerializer resources.views.py新建resources.router.py
from rest_framework.routers importDefaultRouterfrom . views importServerViewSet router=DefaultRouter() router.register('servers', ServerViewSet, base_name='servers') resources.router新建resourcrs.urls.py
编辑根urls.py
from django.conf.urls importurl, includefrom rest_framework.routers importDefaultRouterfrom resources.router importrouter as resources_router router=DefaultRouter() router.registry.extend(resources_router.registry) urlpatterns=[ url(r'^test/', include('resources.urls')), url(r'', include(router.urls)), ] urls.py采集数据
访问http://127.0.0.1:8000/test/atest 采集阿里云实例数据
访问http://127.0.0.1:8000/test/qtest采集腾讯云实例数据
任务调度
上面我们是通过http请求来进行数据采集,这只是一个用来测试的方法,在实际应用中,我们可以使用apscheduler任务调度模块进行定时任务。
安装django-apscheduler模块
pip install django-apscheduler
注册到APPS中
INSTALLED_APPS =[
...'django_apscheduler',
]
django-apscheduler模块会有两张表,django_apscheduler_djangojob (定义的任务),django_apscheduler_djangojobexecution(记录任务执行情况包括出现的异常)
所以我们需要同步下数据库
python manage.py makemigrations django_apscheduler python manage.py migrate apscheduler新建resources. apscheduler,py
from datetime importdatetimefrom apscheduler.schedulers.background importBackgroundSchedulerfrom django_apscheduler.jobstores importDjangoJobStore, register_job, register_events#建立一个后台执行的任务 scheduler =BackgroundScheduler()#任务添加存储 scheduler.add_jobstore(DjangoJobStore(), 'default')#任务调度,每3秒执行一次 @register_job(scheduler, "interval", seconds=3)defmyjob():print('my name is heboan--{}'.format(datetime.now()))#任务执行器 register_events(scheduler) scheduler.start()现在只需要在项目根urls.py导入resources. apscheduler即可
from resources import apscheduler
启动项目后,可以看到它每3秒就执行了一次,有兴趣也可以去数据库查看那两张表
我们也可以让任务在前台运行,这次我们把要执行的任务换成前面的云服务器数据采集。
先把之前根urls.py那个导入模块去掉
编辑resources. apscheduler,py
from datetime importdatetimefrom apscheduler.schedulers.background importBackgroundSchedulerfrom django_apscheduler.jobstores importDjangoJobStore, register_job, register_eventsfrom resources.qcloud.cvm importgetCvmListfrom resources.aliyun.ecs importgetEcsListfrom apscheduler.schedulers.blocking importBlockingScheduler#scheduler = BackgroundScheduler()#建立前台任务 scheduler =BlockingScheduler() scheduler.add_jobstore(DjangoJobStore(),'default') @register_job(scheduler,"interval", seconds=30)defsync_cloud(): getEcsList()#采集阿里云 getCvmList() #采集腾讯云 register_events(scheduler)在resources下新建Python Package命名为management
在management下新建Python Package命名为commands
在 commands下新建文件schedule.py
现在我们执行下python manage.py,可以看到多出来一条可以执行的命令
现在,我们来编辑schedule.py
from django.core.management.base importBaseCommandfrom resources.apscheduler importschedulerclassCommand(BaseCommand): help= "django schedule" def handle(self, *args, **options): scheduler.start()最后我们就可以执行python manage.py schedule了
前台任务:只需要保持python manage.py schedule在运行就可以了,后台任务需要项目跑起来。看你喜欢怎么用了 ^_^
分页
当我们访问http://127.0.0.1:8000/servers/ 会把所有的实例都显示出来,比较好的做法是进行分页显示,最简单的方式就在settings.py种添加如下配置:
REST_FRAMEWORK ={'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.LimitOffsetPagination','PAGE_SIZE': 10 #每页显示的条数
}
这样整个全局就生效了,按每页显示10条进行分页
当然,我们也可以自定义分页,如下:
1、在项目(devops)下新建个文件paginations.py
from rest_framework.pagination importPageNumberPaginationclassPagination(PageNumberPagination): page_size= 10 #每页显示的条数 page_size_query_param = 'page_size' #想要显示的页数 page_query_param = 'p' #指定页码的参数 max_page_size = 100 每页显示的最大条数2、修改settings.py中的分页设置(这个也会导致全局生效)
REST_FRAMEWORK ={'DEFAULT_PAGINATION_CLASS': 'devops.paginations.Pagination', #这里配置成我们自定义的 'PAGE_SIZE': 10}上面的配置完成后,就会全局使用我们自定义的分页配置,如果只只想要Servers使用自定义的分页配置,那么我们就不需要修改settings.py,只需要如下操作
...from devops.paginations importPaginationclassServerViewSet(viewsets.ModelViewSet): queryset=Server.objects.all() serializer_class=ServerSerializer pagination_class= Pagination #指定自定义的分页类即可搜索
服务器实例比较多,如果我们想要搜索出指定的服务器实例,比如根据instanceName来搜索(http://127.0.0.1:8000/servers/?instanceName=pr-es-01)
现在我们在浏览器访问http://127.0.0.1:8000/servers/?instanceName=pr-es-01, 会发现并没有做任何过滤!
那么我们该怎么办?
1、我们进行搜索其实就是对模型进行条件筛选
2、在drf中,就是对queryset进行操作了
classServerViewSet(viewsets.ModelViewSet): queryset=Server.objects.all() serializer_class=ServerSerializer pagination_class=Paginationdefget_queryset(self): queryset=super(ServerViewSet, self).get_queryset()#获取到instanceName参数 instanceName = self.request.query_params.get('instanceName')#如果有传递此参数则进行instanceName模糊查询 ifinstanceName: queryset= queryset.filter(instanceName__icontains=instanceName)return queryset但是一般我们不会使用上面的方法去实现搜索。我们会使用django-filter
当然首先必须要先安装
pip install django-filter
然后注册到APPS中
INSTALLED_APPS =[ ...'django_filters', ]然后可以在视图中使用了
...from django_filters.rest_framework importDjangoFilterBackendclassServerViewSet(viewsets.ModelViewSet): queryset=Server.objects.all() serializer_class=ServerSerializer pagination_class=Pagination#使用过滤器 filter_backends =(DjangoFilterBackend,) filter_fields= ("instanceName",)为了支持模糊查询或其他更高级的查询,我们就需要自定义过滤器了
新建文件resources.filters.py
from django_filters.rest_framework importFilterSetimportdjango_filtersfrom resources.models importServerclassServerFilter(FilterSet): instanceName= django_filters.CharFilter(lookup_expr="icontains") #支持模糊查询 classMeta: model=Server fields= ['instanceName']然后在视图中指定过滤类就可以了
from resources.filters importServerFilterclassServerViewSet(viewsets.ModelViewSet): queryset=Server.objects.all() serializer_class=ServerSerializer pagination_class=Pagination filter_backends= (DjangoFilterBackend,) #可以放到全局配置中 filter_class = ServerFilter上面我提到filter_backends = (DjangoFilterBackend,)可以放到全局配置中,这样视图中就不需要配置了。操作如下:
1、先把视图中这段配置去掉 : filter_backends = (DjangoFilterBackend,)
2、编辑settings.py
REST_FRAMEWORK ={'DEFAULT_PAGINATION_CLASS': 'devops.paginations.Pagination','PAGE_SIZE': 10,'DEFAULT_FILTER_BACKENDS': ('django_filters.rest_framework.DjangoFilterBackend',) #加上此配置即可 } ffilter还可以进行一些高级的方法,比如可以查询多个字段匹配 importdjango_filtersfrom django.contrib.auth importget_user_modelfrom django.db.models importQ User=get_user_model()classUserFilter(django_filters.rest_framework.FilterSet):"""用户过滤类"""username= django_filters.CharFilter(method='search_username')defsearch_username(self, queryset, name, value):return queryset.filter(Q(name__icontains=value)|Q(username__icontains=value))classMeta: model=User fields= ['username']