Python - 如何验证从AWS Lambda咨询Google Analytics？ [英] Python - how to authenticate consult Google Analytics from AWS Lambda?

问题描述

我有一个python脚本来咨询谷歌分析的某些数据，但我试图进一步，让Lambda（来自亚马逊网络服务）每天为我自动完成。但我遇到了一个问题，我坚持下去。

我不知道如何在不使用client_secrets.json文件的情况下从脚本验证OAuth 2.0，并且如果没有其他方式来执行操作，应该离开.json文件以便让它自己进行身份验证。

正如它解释这里因为我没有使用我需要使用的Google服务之一：

  from oauth2client.service_account import ServiceAccountCredentials 
 
 scopes = ['https://www.googleapis.com/auth/sqlservice.admin'] 
 
凭证= ServiceAccountCredentials.from_json_keyfile_name（
'/path/to/keyfile.json'，范围）
  

但我没有文件路径。

解决方案

如果您查看 ServiceAccountCredentials at https://oauth2client.readthedocs.io/en/latest/source/oauth2client.service_account.html#oauth2client.service_account.ServiceAccountCredentials

你会看到 .from_json_keyfile_name 有一个构造函数 from_json（ json_data）。这应该做你需要的。

I have a python script to consult certain data from Google Analytics but im trying to go a little bit further and let Lambda (from amazon web services) do it automatically for me everyday. But i encounter a problem and im stuck with it.

I don't know how can i authenticate OAuth 2.0 from the script without using a client_secrets.json file and if there is no other way to do it how and where i should leave the .json file in order to let it authenticate itself.

As it explains here since im not using one of google services i need to use:

from oauth2client.service_account import ServiceAccountCredentials

scopes = ['https://www.googleapis.com/auth/sqlservice.admin']

credentials = ServiceAccountCredentials.from_json_keyfile_name(
'/path/to/keyfile.json', scopes)

but i have no path for the file.

解决方案

If you check out the docs for ServiceAccountCredentials at https://oauth2client.readthedocs.io/en/latest/source/oauth2client.service_account.html#oauth2client.service_account.ServiceAccountCredentials

you'll see that as well as .from_json_keyfile_name there is a constructor from_json(json_data). That should do what you need.

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