Python 谷歌云函数日志严重性和重复

问题描述

我正在开发一个在 Python 运行时中运行的简单 Google Cloud Function，我想要一些从 Python 程序到 Stackdriver Logging 的简单日志记录.

根据谷歌的启动指南，这应该是直截了当的1. 信息被复制为错误2.调试不通过3. 警告重复，但都是错误日志级别4.错误重复

我在配置中遗漏了什么吗?

解决方案

您需要创建自己的记录器并向其添加 google-cloud-logging 默认处理程序:

导入日志从烧瓶进口烧瓶从 google.cloud 导入日志记录为 cloudlogginglog_client = cloudlogging.Client()log_handler = log_client.get_default_handler()cloud_logger = logging.getLogger("cloudLogger")cloud_logger.setLevel(logging.INFO)cloud_logger.addHandler(log_handler)def logging_test_background(数据，上下文):cloud_logger.info("信息")cloud_logger.warning("警告")cloud_logger.error("错误")返回确定"

产生:

I'm working on a simple Google Cloud Function that runs in the Python runtime and I want some simple logging from the Python program to Stackdriver Logging.

Based on Google's startup guide, this should be straighforwardhttps://cloud.google.com/logging/docs/setup/python

I set up a simple test function to isolate the logging issues I'm seeing

import google.cloud.logging

def logging_test_background(data, context):

    logging_client = google.cloud.logging.Client()
    logging_client.setup_logging()

    logging.info("This should be info")
    logging.debug("This should be debug")
    logging.warning("This should be warning")
    logging.error("This should be error")

In Stackdriver Logging everything gets jumbled. 1. Info is duplicated as an Error 2. Debug doesn't come through 3. Warning is duplicated, but both are error logging level 4. Error is duplicated

Is there something I'm missing in the configuration?

解决方案

You need to create your own logger and add the google-cloud-logging default handler to it:

import logging

from flask import Flask
from google.cloud import logging as cloudlogging

log_client = cloudlogging.Client()
log_handler = log_client.get_default_handler()
cloud_logger = logging.getLogger("cloudLogger")
cloud_logger.setLevel(logging.INFO)
cloud_logger.addHandler(log_handler)

def logging_test_background(data, context):
    cloud_logger.info("info")
    cloud_logger.warning("warn")
    cloud_logger.error("error")
    return 'OK'

Produces:

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