正如YouTube支持部门所证实的那样，不幸的是，YouTube API的设置方式，您无法同时将国家/地区设备类型同时拉为维度，唯一的解决方法是提取设备类型报告，并在过滤器中一次添加1个国家/地区。 因此，您需要为每个国家/地区激活API调用，这可以通过适当的循环命令完成，在每个可能的国家/地区迭代API。 我设法编写了API本身的代码脚本，但是我需要帮助处理所有可能国家/地区的循环（无论是通过API调用获取完整的国家/地区列表还是仅通过引用带有国家/地区列表的csv文件）。 仅供参考，不能将设备类型用作国家/地区报告的过滤器。 任何人都可以帮我一个忙吗？请在下面找到我的Python代码。
答案 0 :(得分：1)
能够回答我自己的问题，这是修改后的代码，以防任何人感兴趣： https://1drv.ms/u/s!AlgTM2giFod43m3plTrfSRHOfaCz
#!/usr/bin/python
from datetime import datetime, timedelta
import httplib2
import os
import sys
import csv
from apiclient.discovery import build
from apiclient.errors import HttpError
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import Storage
import argparse
from oauth2client.tools import argparser, run_flow
# The CLIENT_SECRETS_FILE variable specifies the name of a file that contains
# the OAuth 2.0 information for this application, including its client_id and
# client_secret. You can acquire an OAuth 2.0 client ID and client secret from
# the Google Developers Console at
# https://console.developers.google.com/.
# Please ensure that you have enabled the YouTube Data and YouTube Analytics
# APIs for your project.
# For more information about using OAuth2 to access the YouTube Data API, see:
# https://developers.google.com/youtube/v3/guides/authentication
# For more information about the client_secrets.json file format, see:
# https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
CLIENT_SECRETS_FILE = "client_secretXYZ"
# These OAuth 2.0 access scopes allow for read-only access to the authenticated
# user's account for both YouTube Data API resources and YouTube Analytics Data.
YOUTUBE_SCOPES = ["https://www.googleapis.com/auth/youtube.readonly",
"https://www.googleapis.com/auth/yt-analytics.readonly"]
YOUTUBE_API_SERVICE_NAME = "youtube"
YOUTUBE_API_VERSION = "v3"
YOUTUBE_ANALYTICS_API_SERVICE_NAME = "youtubeAnalytics"
YOUTUBE_ANALYTICS_API_VERSION = "v1"
# This variable defines a message to display if the CLIENT_SECRETS_FILE is
# missing.
MISSING_CLIENT_SECRETS_MESSAGE = """
WARNING: Please configure OAuth 2.0
To make this sample run you will need to populate the client_secrets.json file
found at:
%s
with information from the Developers Console
https://console.developers.google.com/
For more information about the client_secrets.json file format, please visit:
https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
""" % os.path.abspath(os.path.join(os.path.dirname(__file__),
CLIENT_SECRETS_FILE))
def get_authenticated_services(args):
flow = flow_from_clientsecrets(CLIENT_SECRETS_FILE,
scope=" ".join(YOUTUBE_SCOPES),
message=MISSING_CLIENT_SECRETS_MESSAGE)
storage = Storage("%s-oauth2.json" % sys.argv[0])
credentials = storage.get()
if credentials is None or credentials.invalid:
credentials = run_flow(flow, storage, args)
http = credentials.authorize(httplib2.Http())
youtube_analytics = build(YOUTUBE_ANALYTICS_API_SERVICE_NAME,
YOUTUBE_ANALYTICS_API_VERSION, http=http)
return youtube_analytics
def run_analytics_report(youtube_analytics, options, count):
# Call the Analytics API to retrieve a report. For a list of available
# reports, see:
# https://developers.google.com/youtube/analytics/v1/channel_reports
analytics_query_response = youtube_analytics.reports().query(
ids="channel==%s" % options.channel_id,
metrics=options.metrics,
dimensions=options.dimensions,
filters=options.filters,
start_date=options.start_date,
end_date=options.end_date,
#max_results=options.max_results,
sort=options.sort
).execute()
print "Analytics Data for Channel %s" % options.channel_id
if count == 0:
with open('results.csv', 'w') as csv_out:
csvWriter=csv.writer(csv_out, delimiter=',', lineterminator = '\n')
headers = [ch["name"] for ch in analytics_query_response.get("columnHeaders", [])]
headers.append("country")
csvWriter.writerow(headers)
else:
with open('results.csv', 'a') as csv_out:
csvWriter=csv.writer(csv_out, delimiter=',', lineterminator = '\n')
for row in analytics_query_response.get("rows", []):
values = []
for value in row:
values.append(str(value))
values.append((options.filters[9]+""+options.filters[10]))
csvWriter.writerow(values)
print "Results exported to csv"
'''
for column_header in analytics_query_response.get("columnHeaders", []):
print "%-20s" % column_header["name"],
print
for row in analytics_query_response.get("rows", []):
for value in row:
print "%-20s" % value,
print
'''
if __name__ == "__main__":
count = 0
now = datetime.now()
one_day_ago = (now - timedelta(days=1)).strftime("%Y-%m-%d")
one_week_ago = (now - timedelta(days=7)).strftime("%Y-%m-%d")
f = open('countries.csv', 'rb')
reader = csv.reader(f)
for row in reader:
argparser = argparse.ArgumentParser()
argparser.add_argument("--channel-id", help="Channel ID",
default="UCJ5v_MCY6GNUBTO8-D3XoAg")
argparser.add_argument("--metrics", help="Report metrics",
default="views,estimatedMinutesWatched")
argparser.add_argument("--dimensions", help="Report dimensions",
default="deviceType")
argparser.add_argument("--filters", help="Report filters",
default="country==" + ''.join(row))
argparser.add_argument("--start-date", default=one_week_ago,
help="Start date, in YYYY-MM-DD format")
argparser.add_argument("--end-date", default=one_day_ago,
help="End date, in YYYY-MM-DD format")
#argparser.add_argument("--max-results", help="Max results", default=10)
argparser.add_argument("--sort", help="Sort order", default="-views")
args = argparser.parse_args()
youtube_analytics = get_authenticated_services(args)
try:
run_analytics_report(youtube_analytics, args, count)
count = count + 1
except HttpError, e:
print "An HTTP error %d occurred:\n%s" % (e.resp.status, e.content)