Argparse - AttributeError: 'Namespace' 对象没有属性

如何解决Argparse - AttributeError: 'Namespace' 对象没有属性

我知道已经有很多关于这些错误的帖子了，但我似乎仍然无法弄清楚我的。我正在使用 Google Analytics Reporting API (v4) 并结合我从 Google 和 this site 找到的脚本。

有问题的代码只是尝试初始化 Google Analytics 并创建一个名称中包含脚本参数的 csv 文件，数据将在代码中进一步保存到该文件中。一切正常，直到我添加了创建文件的行（var basic_url ...）

代码运行如下：filename.py 'website_url.com' 'start_date' 'end_date'

import argparse
import csv
import sys

from apiclient.discovery import build

import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools


from googleapiclient import sample_tools
from googleapiclient import errors

# Declare command-line flags.
argparser = argparse.ArgumentParser(add_help=False)
argparser.add_argument('property_uri',type=str,help=('Site or app URI to query data for (including '
                             'trailing slash).'))
argparser.add_argument('start_date',help=('Start date of the requested date range in '
                             'YYYY-MM-DD format.'))
argparser.add_argument('end_date',help=('End date of the requested date range in '
                             'YYYY-MM-DD format.'))

SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
# Path to client_secrets.json file for initializing google analytics object
CLIENT_SECRETS_PATH = 'analytics_client_secrets.json' 
VIEW_ID = 'XXXXXXX'


def initialize_analyticsreporting(argv,):
  """Initializes the analyticsreporting service object.

  Returns:
    analytics an authorized analyticsreporting service object.
  """
  # Parse command-line arguments.
  parser = argparse.ArgumentParser(
      formatter_class=argparse.RawDescriptionHelpFormatter,parents=[tools.argparser])
  flags = parser.parse_args([])

  # Set up a Flow object to be used if we need to authenticate.
  flow = client.flow_from_clientsecrets(
      CLIENT_SECRETS_PATH,scope=SCOPES,message=tools.message_if_missing(CLIENT_SECRETS_PATH))

  # Prepare credentials,and authorize HTTP object with them.
  # If the credentials don't exist or are invalid run through the native client
  # flow. The Storage object will ensure that if successful the good
  # credentials will get written back to a file.
  storage = file.Storage('analyticsreporting.dat')
  credentials = storage.get()
  if credentials is None or credentials.invalid:
    credentials = tools.run_flow(flow,storage,flags)
  http = credentials.authorize(http=httplib2.Http())

  # Build the service object.
  analytics = build('analyticsreporting','v4',http=http)
  
  basic_url = flags.property_uri
  basic_url = basic_url.replace("://","_")
  basic_url =basic_url.replace(".","-")
  
  # Create blank csv file
  f= open("./Landingpage_analytics_"+flags.start_date+"_"+flags.end_date+"_"+basic_url+".csv",'wt')
  writer = csv.writer(f)
  writer.writerow( ('Landingpage','Sessions','Bounces','avg. Session Duration','avg. Pages/Session') )
  f.close()

  return analytics,flags

我特别困惑，因为我在同一个脚本中使用 Google Search Console API 并使用以下几行初始化 var flags 并且访问参数没有问题，例如 flags.start_date 和 { {1}} ...

flags.property_uri

这是回溯：

service,flags = sample_tools.init(
      argv,'searchconsole','v1',__doc__,__file__,parents=[argparser],scope='https://www.googleapis.com/auth/webmasters.readonly')