Python 代码示例

以下代码示例使用了适用于 Python 的 Google API 客户端库，适用于 YouTube Reporting API 和 YouTube Analytics API。您可以从 GitHub 上的 YouTube API 代码示例代码库的 python 文件夹中下载这些代码示例。

• 批量报告 (YouTube Reporting API)

  1. 创建报告作业（reportTypes.list、jobs.create）
  2. 检索报告（jobs.list、jobs.reports.list）

• “有针对性的查询”报告（YouTube Analytics API）

  1. 检索每日频道统计信息 (reports.query)

批量报告

检索报告

此代码示例演示了如何检索由特定作业创建的报告。它会调用 jobs.list 方法来检索报告作业。然后，它会调用 reports.list 方法并将 jobId 参数设置为特定作业 ID，以检索该作业创建的报告。最后，示例会输出每个报告的下载网址。

#!/usr/bin/python

###
#
# This script retrieves YouTube Reporting API reports. Use cases:
# 1. If you specify a report URL, the script downloads that report.
# 2. Otherwise, if you specify a job ID, the script retrieves a list of
#    available reports for that job and prompts you to select a report.
#    Then it retrieves that report as in case 1.
# 3. Otherwise, the list retrieves a list of jobs for the user or,
#    if specified, the content owner that the user is acting on behalf of.
#    Then it prompts the user to select a job, and then executes case 2 and
#    then case 1.
# Usage examples:
# python retrieve_reports.py --content_owner_id=<CONTENT_OWNER_ID> --local_file=<LOCAL_FILE>
# python retrieve_reports.py --content_owner_id=<CONTENT_OWNER_ID> --job_id=<JOB_ID> --local_file=<LOCAL_FILE>
# python retrieve_reports.py --content_owner_id=<CONTENT_OWNER_ID> --report_url=<REPORT_URL> --local_file=<LOCAL_FILE>
#
###

import argparse
import os

import google.oauth2.credentials
import google_auth_oauthlib.flow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from googleapiclient.http import MediaIoBaseDownload
from google_auth_oauthlib.flow import InstalledAppFlow
from io import FileIO


# 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 Cloud Console }} at
# {{ https://cloud.google.com/console }}.
# Please ensure that you have enabled the YouTube Data API 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_secret.json'

# This OAuth 2.0 access scope allows for read access to YouTube Analytics
# monetary reports for the authenticated user's account. Any request that
# retrieves earnings or ad performance metrics must use this scope.
SCOPES = ['https://www.googleapis.com/auth/yt-analytics-monetary.readonly']
API_SERVICE_NAME = 'youtubereporting'
API_VERSION = 'v1'

# Authorize the request and store authorization credentials.
def get_authenticated_service():
  flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES)
  credentials = flow.run_console()
  return build(API_SERVICE_NAME, API_VERSION, credentials = credentials)

# Remove keyword arguments that are not set.
def remove_empty_kwargs(**kwargs):
  good_kwargs = {}
  if kwargs is not None:
    for key, value in kwargs.iteritems():
      if value:
        good_kwargs[key] = value
  return good_kwargs

# Call the YouTube Reporting API's jobs.list method to retrieve reporting jobs.
def list_reporting_jobs(youtube_reporting, **kwargs):
  # Only include the onBehalfOfContentOwner keyword argument if the user
  # set a value for the --content_owner argument.
  kwargs = remove_empty_kwargs(**kwargs)

  # Retrieve the reporting jobs for the user (or content owner).
  results = youtube_reporting.jobs().list(**kwargs).execute()

  if 'jobs' in results and results['jobs']:
    jobs = results['jobs']
    for job in jobs:
      print ('Reporting job id: %s\n name: %s\n for reporting type: %s\n'
        % (job['id'], job['name'], job['reportTypeId']))
  else:
    print 'No jobs found'
    return False

  return True

# Call the YouTube Reporting API's reports.list method to retrieve reports created by a job.
def retrieve_reports(youtube_reporting, **kwargs):
  # Only include the onBehalfOfContentOwner keyword argument if the user
  # set a value for the --content_owner argument.
  kwargs = remove_empty_kwargs(**kwargs)

  # Retrieve available reports for the selected job.
  results = youtube_reporting.jobs().reports().list(
    **kwargs
  ).execute()

  if 'reports' in results and results['reports']:
    reports = results['reports']
    for report in reports:
      print ('Report dates: %s to %s\n       download URL: %s\n'
        % (report['startTime'], report['endTime'], report['downloadUrl']))


# Call the YouTube Reporting API's media.download method to download the report.
def download_report(youtube_reporting, report_url, local_file):
  request = youtube_reporting.media().download(
    resourceName=' '
  )
  request.uri = report_url
  fh = FileIO(local_file, mode='wb')
  # Stream/download the report in a single request.
  downloader = MediaIoBaseDownload(fh, request, chunksize=-1)

  done = False
  while done is False:
    status, done = downloader.next_chunk()
    if status:
      print 'Download %d%%.' % int(status.progress() * 100)
  print 'Download Complete!'


# Prompt the user to select a job and return the specified ID.
def get_job_id_from_user():
  job_id = raw_input('Please enter the job id for the report retrieval: ')
  print ('You chose "%s" as the job Id for the report retrieval.' % job_id)
  return job_id

# Prompt the user to select a report URL and return the specified URL.
def get_report_url_from_user():
  report_url = raw_input('Please enter the report URL to download: ')
  print ('You chose "%s" to download.' % report_url)
  return report_url

if __name__ == '__main__':
  parser = argparse.ArgumentParser()
  parser.add_argument('--content_owner', default='',
      help='ID of content owner for which you are retrieving jobs and reports')
  parser.add_argument('--job_id', default=None,
      help='ID of the job for which you are retrieving reports. If not ' +
           'provided AND report_url is also not provided, then the script ' +
           'calls jobs.list() to retrieve a list of jobs.')
  parser.add_argument('--report_url', default=None,
      help='URL of the report to retrieve. If not specified, the script ' +
           'calls reports.list() to retrieve a list of reports for the ' +
           'selected job.')
  parser.add_argument('--local_file', default='yt_report.txt',
      help='The name of the local file where the downloaded report will be written.')
  args = parser.parse_args()

  youtube_reporting = get_authenticated_service()
  try:
    # If the user has not specified a job ID or report URL, retrieve a list
    # of available jobs and prompt the user to select one.
    if not args.job_id and not args.report_url:
      if list_reporting_jobs(youtube_reporting,
                             onBehalfOfContentOwner=args.content_owner):
        args.job_id = get_job_id_from_user()

    # If the user has not specified a report URL, retrieve a list of reports
    # available for the specified job and prompt the user to select one.
    if args.job_id and not args.report_url:
      retrieve_reports(youtube_reporting,
                       jobId=args.job_id,
                       onBehalfOfContentOwner=args.content_owner)
      args.report_url = get_report_url_from_user()

    # Download the selected report.
    if args.report_url:
      download_report(youtube_reporting, args.report_url, args.local_file)
  except HttpError, e:
    print 'An HTTP error %d occurred:\n%s' % (e.resp.status, e.content)
retrieve_reports.py

创建报告作业

此代码示例演示了如何创建报告作业。它会调用 reportTypes.list 方法来检索可用报告类型的列表。然后调用 jobs.create 方法以创建新的报告作业。

#!/usr/bin/python

# Create a reporting job for the authenticated user's channel or
# for a content owner that the user's account is linked to.
# Usage example:
# python create_reporting_job.py --name='<name>'
# python create_reporting_job.py --content-owner='<CONTENT OWNER ID>'
# python create_reporting_job.py --content-owner='<CONTENT_OWNER_ID>' --report-type='<REPORT_TYPE_ID>' --name='<REPORT_NAME>'

import argparse
import os

import google.oauth2.credentials
import google_auth_oauthlib.flow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from google_auth_oauthlib.flow import InstalledAppFlow


# 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 Cloud Console }} at
# {{ https://cloud.google.com/console }}.
# Please ensure that you have enabled the YouTube Data API 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_secret.json'

# This OAuth 2.0 access scope allows for read access to the YouTube Analytics monetary reports for
# authenticated user's account. Any request that retrieves earnings or ad performance metrics must
# use this scope.
SCOPES = ['https://www.googleapis.com/auth/yt-analytics-monetary.readonly']
API_SERVICE_NAME = 'youtubereporting'
API_VERSION = 'v1'

# Authorize the request and store authorization credentials.
def get_authenticated_service():
  flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES)
  credentials = flow.run_console()
  return build(API_SERVICE_NAME, API_VERSION, credentials = credentials)

# Remove keyword arguments that are not set.
def remove_empty_kwargs(**kwargs):
  good_kwargs = {}
  if kwargs is not None:
    for key, value in kwargs.iteritems():
      if value:
        good_kwargs[key] = value
  return good_kwargs

# Call the YouTube Reporting API's reportTypes.list method to retrieve report types.
def list_report_types(youtube_reporting, **kwargs):
  # Provide keyword arguments that have values as request parameters.
  kwargs = remove_empty_kwargs(**kwargs)
  results = youtube_reporting.reportTypes().list(**kwargs).execute()
  reportTypes = results['reportTypes']

  if 'reportTypes' in results and results['reportTypes']:
    reportTypes = results['reportTypes']
    for reportType in reportTypes:
      print 'Report type id: %s\n name: %s\n' % (reportType['id'], reportType['name'])
  else:
    print 'No report types found'
    return False

  return True


# Call the YouTube Reporting API's jobs.create method to create a job.
def create_reporting_job(youtube_reporting, report_type_id, **kwargs):
  # Provide keyword arguments that have values as request parameters.
  kwargs = remove_empty_kwargs(**kwargs)

  reporting_job = youtube_reporting.jobs().create(
    body=dict(
      reportTypeId=args.report_type,
      name=args.name
    ),
    **kwargs
  ).execute()

  print ('Reporting job "%s" created for reporting type "%s" at "%s"'
         % (reporting_job['name'], reporting_job['reportTypeId'],
             reporting_job['createTime']))


# Prompt the user to enter a report type id for the job. Then return the id.
def get_report_type_id_from_user():
  report_type_id = raw_input('Please enter the reportTypeId for the job: ')
  print ('You chose "%s" as the report type Id for the job.' % report_type_id)
  return report_type_id

# Prompt the user to set a job name
def prompt_user_to_set_job_name():
  job_name = raw_input('Please set a name for the job: ')
  print ('Great! "%s" is a memorable name for this job.' % job_name)
  return job_name


if __name__ == '__main__':
  parser = argparse.ArgumentParser()
  # The 'name' option specifies the name that will be used for the reporting job.
  parser.add_argument('--content-owner', default='',
      help='ID of content owner for which you are retrieving jobs and reports.')
  parser.add_argument('--include-system-managed', default=False,
      help='Whether the API response should include system-managed reports')
  parser.add_argument('--name', default='',
    help='Name for the reporting job. The script prompts you to set a name ' +
         'for the job if you do not provide one using this argument.')
  parser.add_argument('--report-type', default=None,
    help='The type of report for which you are creating a job.')
  args = parser.parse_args()

  youtube_reporting = get_authenticated_service()

  try:
    # Prompt user to select report type if they didn't set one on command line.
    if not args.report_type:
      if list_report_types(youtube_reporting,
                           onBehalfOfContentOwner=args.content_owner,
                           includeSystemManaged=args.include_system_managed):
        args.report_type = get_report_type_id_from_user()
    # Prompt user to set job name if not set on command line.
    if not args.name:
      args.name = prompt_user_to_set_job_name()
    # Create the job.
    if args.report_type:
      create_reporting_job(youtube_reporting,
                           args,
                           onBehalfOfContentOwner=args.content_owner)
  except HttpError, e:
    print 'An HTTP error %d occurred:\n%s' % (e.resp.status, e.content)
create_reporting_job.py

“有针对性的查询”报告

检索每日频道统计信息

此示例调用 YouTube Analytics API 来检索授权用户频道在 2017 日历年的每日观看次数和其他指标。该示例使用 Google API Python 客户端库。

该代码会请求用户授予访问 https://www.googleapis.com/auth/yt-analytics.readonly 范围的权限。

SCOPES = ['https://www.googleapis.com/auth/yt-analytics.readonly']

您的应用可能还需要请求对其他范围的访问权限。例如，调用 YouTube Analytics API 和 YouTube Data API 的应用可能需要用户同时授予对其 YouTube 账号的访问权限。授权概览指出了调用 YouTube Analytics API 的应用中通常使用的范围。

设置授权凭据

首次在本地运行此示例之前，您需要为项目设置授权凭据：

1. 在 Google API 控制台中创建或选择项目。
2. 为您的项目启用 YouTube Analytics API。
3. 在凭据页面顶部，选择 OAuth 同意屏幕标签页。选择电子邮件地址，输入产品名称（如果尚未设置），然后点击“保存”按钮。
4. 在凭据页面上，点击创建凭据按钮，然后选择 OAuth 客户端 ID。
5. 选择应用类型其他，输入名称“YouTube Analytics API 快速入门”，然后点击“创建”按钮。
6. 点击 OK 关闭出现的对话框。
7. 点击客户端 ID 右侧的 (Download JSON) 按钮。
8. 将下载的文件移动到工作目录。

安装所需的库

您还需要安装 Python 版 Google API 客户端库和一些其他库：

pip install --upgrade google-api-python-client
pip install --upgrade google-auth google-auth-oauthlib google-auth-httplib2

运行代码

现在，您可以开始实际测试示例了：

1. 将以下代码示例复制到您的工作目录。
2. 在该示例中，更新 CLIENT_SECRETS_FILE 变量的值，使其与您在设置授权凭据后所下载文件的位置相匹配。
3. 在终端窗口中运行示例代码：

   python yt_analytics_v2.py

4. 完成授权流程。身份验证流程可能会自动在浏览器中加载，或者您可能需要将身份验证网址复制到浏览器窗口中。在授权流程结束时，如有必要，将浏览器中显示的授权代码粘贴到终端窗口中，然后点击 [返回]。
5. 系统执行 API 查询，并将 JSON 响应输出到终端窗口。

示例代码

# -*- coding: utf-8 -*-

import os
import google.oauth2.credentials
import google_auth_oauthlib.flow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from google_auth_oauthlib.flow import InstalledAppFlow

SCOPES = ['https://www.googleapis.com/auth/yt-analytics.readonly']

API_SERVICE_NAME = 'youtubeAnalytics'
API_VERSION = 'v2'
CLIENT_SECRETS_FILE = 'YOUR_CLIENT_SECRET_FILE.json'
def get_service():
  flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES)
  credentials = flow.run_console()
  return build(API_SERVICE_NAME, API_VERSION, credentials = credentials)

def execute_api_request(client_library_function, **kwargs):
  response = client_library_function(
    **kwargs
  ).execute()

  print(response)

if __name__ == '__main__':
  # Disable OAuthlib's HTTPs verification when running locally.
  # *DO NOT* leave this option enabled when running in production.
  os.environ['OAUTHLIB_INSECURE_TRANSPORT'] = '1'

  youtubeAnalytics = get_service()
  execute_api_request(
      youtubeAnalytics.reports().query,
      ids='channel==MINE',
      startDate='2017-01-01',
      endDate='2017-12-31',
      metrics='estimatedMinutesWatched,views,likes,subscribersGained'
      dimensions='day',
      sort='day'
  )
yt_analytics_v2.py