क्वेरी के इतिहास के ऑडिट देखना

संग्रह की मदद से व्यवस्थित रहें अपनी प्राथमिकताओं के आधार पर, कॉन्टेंट को सेव करें और कैटगरी में बांटें.

"""This sample shows how to create a query history audit.

For the program to execute successfully, ensure that you run it using Python 3.
"""

from __future__ import print_function
from json import dumps
from google_auth_oauthlib import flow
from googleapiclient.discovery import build

appflow = flow.InstalledAppFlow.from_client_secrets_file(
  # Replace client_secrets.json with your own client secret file.
  'client_secrets.json',
  scopes=['https://www.googleapis.com/auth/adsdatahub'])
appflow.run_local_server()
credentials = appflow.credentials
developer_key = input('Developer key: ').strip()
service = build('adsdatahub', 'v1', credentials=credentials,
                developerKey=developer_key)

def pprint(x):
  print(dumps(x, sort_keys=True, indent=4))

customer_id = input('Customer ID (e.g. "customers/123"): ').strip()
bq_project = input('Destination BigQuery project ID (e.g. "your-project"): ').strip()
dataset_id = input('Destination BigQuery dataset (e.g. "your-dataset"): ').strip()
start = input('The start date for your query history audit. Formatted as "mm/dd/yyyy": ').strip().split('/')
end = input('The end date for your query history audit. Should be 1 day later than start_date. Formatted as "mm/dd/yyyy": ').strip().split('/')

choice = input("Do you want to enter a timezone? Defaults to UTC otherwise. (y/n) ")

if choice.lower() == 'y':
  timezone = input("Timezone (e.g. 'UTC'): ")
else:
  timezone = 'UTC'

body = {
  'project_id': bq_project,
  'dataset': dataset_id,
  'start_date': {
      'year': start[2],
      'day': start[1],
      'month': start[0]
  },
  'end_date': {
      'year': end[2],
      'day': end[1],
      'month': end[0]
  },
  'time_zone': timezone
}

pprint(service.customers().exportJobHistory(customer=customer_id, body=body).execute())