Google Cloud Functions Python日志记录问题 [英] Google Cloud Functions Python Logging issue

问题描述

我不确定该怎么说，但是，我感觉有些东西被Google改变了，而我却一无所知.我曾经从日志记录仪表板内Google Cloud Console中的python Cloud Functions中获取日志.现在，它刚刚停止工作.

所以我去研究了很长时间，我才做了一个日志问候世界python Cloud Function:

import logging

def cf_endpoint(req):
    logging.debug('log debug')
    logging.info('log info')
    logging.warning('log warning')
    logging.error('log error')
    logging.critical('log critical')
    return 'ok'

这是我的main.py，我将其部署为带有http触发器的Cloud Function.

由于我拥有一个包含所有调试"级别日志的日志摄入排除过滤器，因此在日志记录仪表板中什么都看不到.但是，当我删除它时，我发现了这一点:

因此，似乎正在将python内置日志记录解析为stackdriver的操作停止了对日志严重性参数的解析！对不起，如果我看上去很傻，但这是我唯一能想到的:/

你们对此有任何解释或解决方案吗?我做错了吗?

预先感谢您的帮助.

解决方案

使用Python本机 Stackdriver Logging Client Libraries .查看本文档，以了解Python库，以及此以获取一些使用案例. >

请注意，为了让日志位于正确的资源下，您必须手动配置它们，请参见必需的标签必须在日志结构中出现.

作为示例，以下代码将严重性为ERROR的日志写入StackDriver Logging中的Cloud Function资源:

from google.cloud import logging
from google.cloud.logging.resource import Resource

log_client = logging.Client()

# This is the resource type of the log
log_name = 'cloudfunctions.googleapis.com%2Fcloud-functions' 

# Inside the resource, nest the required labels specific to the resource type
res = Resource(type="cloud_function", 
               labels={
                   "function_name": "YOUR-CLOUD-FUNCTION-NAME", 
                   "region": "YOUR-FUNCTION-LOCATION"
               },
              )
logger = log_client.logger(log_name.format("YOUR-PROJECT-ID"))
logger.log_struct(
 {"message": "message string to log"}, resource=res, severity='ERROR')

return 'Wrote logs to {}.'.format(logger.name) # Return cloud function response

请注意，YOUR-CLOUD-FUNCTION-NAME，YOUR-FUNCTION-LOCATION和YOUR-PROJECT-ID中的字符串需要特定于您的项目/资源.

I'm not sure how to say this but, I'm feeling like there is something under the hood that was changed by Google without me knowing about it. I used to get my logs from my python Cloud Functions in the Google Cloud Console within the logging dashboard. And now, it just stopped working.

So I went investigating for a long time, I just made a log hello world python Cloud Function:

import logging

def cf_endpoint(req):
    logging.debug('log debug')
    logging.info('log info')
    logging.warning('log warning')
    logging.error('log error')
    logging.critical('log critical')
    return 'ok'

So this is my main.py that I deploy as a Cloud Function with an http trigger.

Since I was having a log ingestion exclusion filter with all the "debug" level logs I wasn't seeing anything in the logging dashboard. But when I removed it I discovered this :

So it seems like something that was parsing the python built-in log records into stackdriver stopped parsing the log severity parameter! I'm sorry if I look stupid but that's the only thing I can think about :/

Do you guys have any explanations or solutions for this ? am I doing it the wrong way ?

Thank you in advance for your help.

解决方案

Stackdriver Logging severity filters are no longer supported when using the Python native logging module.

However, you can still create logs with certain severity by using the Stackdriver Logging Client Libraries. Check this documentation in reference to the Python libraries, and this one for some usage-case examples.

Notice that in order to let the logs be under the correct resource, you will have to manually configure them, see this list for the supported resource types. As well, each resource type has some required labels that need to be present in the log structure.

As an example, the following code will write a log to the Cloud Function resource, in Stackdriver Logging, with an ERROR severity:

from google.cloud import logging
from google.cloud.logging.resource import Resource

log_client = logging.Client()

# This is the resource type of the log
log_name = 'cloudfunctions.googleapis.com%2Fcloud-functions' 

# Inside the resource, nest the required labels specific to the resource type
res = Resource(type="cloud_function", 
               labels={
                   "function_name": "YOUR-CLOUD-FUNCTION-NAME", 
                   "region": "YOUR-FUNCTION-LOCATION"
               },
              )
logger = log_client.logger(log_name.format("YOUR-PROJECT-ID"))
logger.log_struct(
 {"message": "message string to log"}, resource=res, severity='ERROR')

return 'Wrote logs to {}.'.format(logger.name) # Return cloud function response

Notice that the strings in YOUR-CLOUD-FUNCTION-NAME, YOUR-FUNCTION-LOCATION and YOUR-PROJECT-ID, need to be specific to your project/resource.

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