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App Engine Stackdriver记录到全局日志而不是服务日志

[英]App Engine stackdriver logging to Global log instead of service log

I'm trying to set up logging for a django app hosted as an App Engine service on GAE. 我正在尝试为在GAE上作为App Engine服务托管的Django应用设置日志记录。

I have set up the logging succesfully, except that the logging is showing up in the global log for that entire project instead of the log for that service. 我已经成功设置了日志记录,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。 I would like for the logs to show up only in the specific service logs 我希望日志仅显示在特定的服务日志中

this is my django logging config: 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',
        }
    },
}

And I am able to succesfully log to the Global project log by calling like this: 通过这样调用,我能够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')

I'm wanting to figure out if I can configure the logger to always use the log for the service that it's running in. 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。

EDIT: 编辑:

I tried the suggestion below, however now it is returning the following error: 我尝试了下面的建议,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'

I can over-ride this in the package source code to make it work, however the GAE environment requires that I use the package as supplied by google for the cloud logging. 我可以在程序包源代码中改写它以使其工作,但是GAE环境要求我使用google提供的程序包进行云日志记录。 Is there any way to go from here? 有什么办法可以从这里走吗?

To my understanding, it should be possible to accomplish what you want using the resource option of CloudLoggingHandler . 据我了解,应该可以使用CloudLoggingHandlerresource选项完成您想要的事情 In the Stackdriver Logging (and Stackdriver Monitoring) API, each object (log line, time-series point) is associated with a "resource" (some thing that exists in a project, that can be provisioned, and can be the source of logs or time-series or the thing that the logs or time-series are being written about). 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)。 When the resource option is omitted, the CloudLoggingHandler defaults to global as you have observed. 如您CloudLoggingHandler ,当省略resource选项时, CloudLoggingHandler缺省为global

There are a number of monitored resource types , including gae_app , which can be used to represent a specific version of a particular service that is deployed on GAE. 有许多受监视的资源类型 ,包括gae_app ,可以用来表示在GAE上部署的特定服务的特定版本。 Based on your code, this would look something like: 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,
        },
    },
    # ...
}

In the code above, the functions get_project_id , get_gae_service , and get_gae_service_version can be implemented in terms of the environment variables GOOGLE_CLOUD_PROJECT , GAE_SERVICE , and GAE_VERSION in the Python flexible environment as documented by The Flexible Python Runtime as in: 在上面的代码,所述功能get_project_idget_gae_serviceget_gae_service_version可以在该环境变量的角度来实施GOOGLE_CLOUD_PROJECTGAE_SERVICEGAE_VERSION如记录由在Python灵活的环境的弹性Python运行时 ,如下所示:

def get_project_id():
  return os.getenv('GOOGLE_CLOUD_PROJECT')

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