我正在尝试为GAE上作为App Engine服务托管的Django应用设置日志记录。
我已成功设置日志记录,除了日志记录显示在整个项目的全局日志中,而不是该服务的日志中。我希望日志仅显示在特定的服务日志中
这是我的Django日志记录配置:
from google.cloud import logging as google_cloud_logging
log_client = google_cloud_logging.Client()
log_client.setup_logging()
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'handlers': {
'stackdriver_logging': {
'class': 'google.cloud.logging.handlers.CloudLoggingHandler',
'client': log_client
},
},
'loggers': {
'': {
'handlers': ['stackdriver_logging'],
'level': 'INFO',
}
},
}
我可以通过如下调用成功登录到全局项目日志:
def fetch_orders(request):
logger.error('test error')
logger.critical('test critical')
logger.warning('test warning')
logger.info('test info')
return redirect('dashboard')
我想弄清楚是否可以将记录器配置为始终将日志用于运行它的服务。
编辑:
我尝试了以下建议,但是现在返回以下错误:
Traceback (most recent call last):
File "/env/lib/python3.7/site-packages/google/cloud/logging/handlers/transports/background_thread.py", line 122, in _safely_commit_batch
batch.commit()
File "/env/lib/python3.7/site-packages/google/cloud/logging/logger.py", line 381, in commit
entries = [entry.to_api_repr() for entry in self.entries]
File "/env/lib/python3.7/site-packages/google/cloud/logging/logger.py", line 381, in <listcomp>
entries = [entry.to_api_repr() for entry in self.entries]
File "/env/lib/python3.7/site-packages/google/cloud/logging/entries.py", line 318, in to_api_repr
info = super(StructEntry, self).to_api_repr()
File "/env/lib/python3.7/site-packages/google/cloud/logging/entries.py", line 241, in to_api_repr
info["resource"] = self.resource._to_dict()
AttributeError: 'ConvertingDict' object has no attribute '_to_dict'
我可以在程序包源代码中改写它以使其起作用,但是GAE环境要求我使用google提供的程序包进行云日志记录。有什么办法可以从这里走吗?
答案 0 :(得分:0)
据我所知,应该可以使用CloudLoggingHandler的resource
选项来完成所需的工作。在Stackdriver Logging(和Stackdriver Monitoring)API中,每个对象(日志行,时间序列点)都与“资源”(项目中存在的某些事物相关联,可以配置,可以作为日志的来源)关联。或时间序列或记录日志或时间序列的内容)。如您所见,当省略resource
选项时,CloudLoggingHandler
默认为global
。
有许多monitored resource types,包括gae_app
,可用于表示GAE上部署的特定服务的特定版本。根据您的代码,这看起来像:
from google.cloud.logging import resource
def get_monitored_resource():
project_id = get_project_id()
gae_service = get_gae_service()
gae_service_version = get_gae_service_version()
resource_type = 'gae_app'
resource_labels = {
'project_id': project_id,
'module_id': gae_service,
'version_id': gae_service_version
}
return resource.Resource(resource_type, resource_labels)
GAE_APP_RESOURCE = get_monitored_resource()
LOGGING = {
# ...
'handlers': {
'stackdriver_logging': {
'class': 'google.cloud.logging.handlers.CloudLoggingHandler',
'client': log_client,
'resource': GAE_APP_RESOURCE,
},
},
# ...
}
在上面的代码中,可以根据环境变量get_project_id
,get_gae_service
和get_gae_service_version
来实现函数GOOGLE_CLOUD_PROJECT
,GAE_SERVICE
和GAE_VERSION
。 The Flexible Python Runtime在Python灵活环境中的def get_project_id():
return os.getenv('GOOGLE_CLOUD_PROJECT')
如下:
submenu : [{
text: 'Website',
permissionId : 900,
submenu:[{
text: 'Publisher Site',
permissionId : 901
},
{
text: 'Track Disable',
permissionId : 902
},
{
text: 'Goals',
permissionId : 904
}]
}]