无需使用python的本地浏览器即可访问Google Analytics(分析)API [英] Google Analytics API access without local browser in python

问题描述

我想使用Python查询Google Analytics(分析)API，以定期从我的Google Analytics(分析)帐户下载数据并将数据存储在本地数据库中.我基本上是按照基本教程中给出的步骤进行操作的.在此过程中，我正在使用适用于Python的Google客户端API库.

I want to query the Google Analytics API using Python to periodically download data from my Analytics account and store data in a local database. I am basically following the steps as given in the basic tutorial. I am using the Google client API library for Python in this process.

到目前为止，当我在本地开发机(Mac)上运行脚本时，脚本运行良好.启动脚本时，浏览器将打开，并提示我授予从该应用访问我的Google Analytics(分析)数据的权限.之后，我可以根据需要多次运行脚本并访问数据.

My script is working fine so far when I am running it on my local dev machine (Mac). When I start the script, my browser opens and I am prompted to grant access to my Analytics data from the app. Afterwards I can run my script as often as I want and get access to my data.

在我的服务器(Ubuntu，只有可用的终端)上，打开了w3m浏览器，但是我无法从那里访问我的Google帐户.我只能退出w3m并使用Ctrl-C杀死程序.出现错误消息，例如:

On my server (Ubuntu, only terminal available), the w3m browser opens, but I cannot access my Google account from there. I can only quit w3m and kill the program with Ctrl-C. There is an error message like:

您的浏览器已打开以访问:

Your browser has been opened to visit:

https://accounts.google.com/o/oauth2/auth?scope = some_long_url& access_type = offline

如果您的浏览器在其他计算机上，请退出并重新运行 命令行参数

If your browser is on a different machine then exit and re-run this application with the command-line parameter

-noauth_local_webserver

--noauth_local_webserver

但是，当我使用参数--noauth_local_webserver运行脚本时，会得到相同的结果-w3m打开并且无法进行身份验证.

However when I run my script with the parameter --noauth_local_webserver, I get the same results - w3m opens and I cannot authenticate.

如何使--noauth_local_webserver正常工作?在同一台机器上没有本地浏览器的情况下，我还有另一种身份验证方法吗?

How can I get the --noauth_local_webserver to work? I there another way to authenticate without a local browser on the same machine?

推荐答案

使用FLAGS = gflags.FLAGS时，实际上需要将命令行参数传递给FLAGS(这可能也可能不会使我绊倒:)).请参阅此处以获取Analytics-此操作的中心示例(下面的代码，因为链接可能会在一段时间后消失).一般的想法是将argv参数传递到FLAGS变量中，然后该变量可用于其他模块.

When you use FLAGS = gflags.FLAGS, you actually need to pass the command-line arguments to FLAGS (this may or may not have tripped me up as well :) ). See here for an Analytics-centric example of how to do it (code below as links tend to go away after a while). General idea is that argv arguments are passed into the FLAGS variable, which then become available to other modules.

# From samples/analytics/sample_utils.py in the google-api-python-client source

def process_flags(argv):
  """Uses the command-line flags to set the logging level.

  Args:
    argv: List of command line arguments passed to the python script.
  """

  # Let the gflags module process the command-line arguments.
  try:
    argv = FLAGS(argv)
  except gflags.FlagsError, e:
    print '%s\nUsage: %s ARGS\n%s' % (e, argv[0], FLAGS)
    sys.exit(1)

  # Set the logging according to the command-line flag.
  logging.getLogger().setLevel(getattr(logging, FLAGS.logging_level))

而且，事实证明我们并不孤单！您可以跟踪此错误，以查看何时添加此错误.文档.

Also, turns out that we aren't alone! You can track this bug to see when this will get added the documentation.

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