在App Engine Standard python中使用Google Stackdriver Logging时出错

Question

我的堆栈:
Google App Engine标准
Python(2.7)

目标:
要在Google Stackdriver日志记录中创建命名日志,请访问https://console.cloud.google.com/logs/viewer

文档 - Stackdriver日志记录: https ://google-cloud-python.readthedocs.io/en/latest/logging/usage.html

码:

from google.cloud import logging as stack_logging
from google.cloud.logging.resource import Resource
import threading

class StackdriverLogging:
    def __init__(self, resource=Resource(type='project', labels={'project_id': 'project_id'}), project_id='project_id'):

    self.resource = resource
    self.client = stack_logging.Client(project=project_id)

    def delete_logger(self, logger_name):
        logger = self.client.logger(logger_name)
        logger.delete()

    def async_log(self, logger_name, sev, msg):
        t = threading.Thread(target=self.log, args=(logger_name, sev, msg,))
        t.start()

    def log(self, logger_name, sev, msg):
        logger = self.client.logger(logger_name)

    if isinstance(msg, str):
        logger.log_text(msg, severity=sev, resource=self.resource)
    elif isinstance(msg, dict):
        logger.log_struct(msg, severity=sev, resource=self.resource)

class hLog(webapp2.RequestHandler):
   def get(self):
      stackdriver_logger = StackdriverLogging()
      stackdriver_logger.async_log("my_new_log", "WARNING", msg="Hello")
      stackdriver_logger.async_log("my_new_log", "INFO", msg="world")

错误: 找到1个没有匹配响应的RPC请求

如果在Google App Engine Standard(Python)中无法以任何方式使此代码生效:

  from google.cloud import logging
  client = logging.Client()
  # client = logging.Client.from_service_account_json('credentials.json')
  logger = client.logger("my_new_log")
  logger.log_text("hello world") 

如果需要凭据,我想使用项目服务帐户.

任何帮助,将不胜感激.谢谢.

Answer 1

我通常将 Python 日志记录模块直接绑定到 Google Stackdriver Logging 中。为此，我创建了一个 log_helper 模块：

from google.cloud import logging as gc_logging
import logging

logging_client = gc_logging.Client()
logging_client.setup_logging(logging.INFO)

from logging import *

然后我将其导入到其他文件中，如下所示：

import log_helper as logging

之后，您可以像使用默认的 python 日志记录模块一样使用该模块。

要使用默认的 python 日志记录模块创建命名日志，请为不同的命名空间使用不同的记录器：

import log_helper as logging

test_logger = logging.getLogger('test')
test_logger.setLevel(logging.INFO)
test_logger.info('is the name of this logger')

输出：

INFO:test:是该记录器的名称