Python için Google API'leri İstemci Kitaplığı'nı kullanan aşağıdaki kod örnekleri YouTube Reporting API ve YouTube Analytics API için mevcuttur. Bu kod örneklerini GitHub'daki YouTube API'leri kod örneği deposunun python
klasöründen indirebilirsiniz.
-
Toplu raporlar (YouTube Reporting API)
-
Hedeflenen sorgu raporları (YouTube Analytics API)
Toplu raporlar
Raporları alma
Bu kod örneğinde, belirli bir iş tarafından oluşturulan raporların nasıl alınacağı gösterilmektedir. Raporlama işlerini almak için jobs.list
yöntemini çağırır. Daha sonra, söz konusu iş tarafından oluşturulan raporları almak için jobId
parametresinin belirli bir iş kimliğine ayarlandığı reports.list
yöntemini çağırır. Son olarak, örnek her bir raporun indirme URL'sini yazdırır.
#!/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)
Raporlama işi oluşturma
Bu kod örneğinde, raporlama işinin nasıl oluşturulacağı gösterilmektedir. Kullanılabilir rapor türlerinin listesini almak için reportTypes.list
yöntemini çağırır. Ardından yeni bir raporlama işi oluşturmak için jobs.create
yöntemini çağırır.
#!/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)
Hedeflenen sorgu raporları
Günlük kanal istatistiklerini alma
Bu örnekte, 2017 takvim yılında kullanıcının kanalını yetkilendiren kullanıcının günlük görüntüleme sayısını ve diğer metrikleri almak için YouTube Analytics API'ye çağrı yapılır. Örnekte, Google API'leri Python istemci kitaplığı kullanılmaktadır.
Kod, https://www.googleapis.com/auth/yt-analytics.readonly
kapsamına erişmek için kullanıcıdan izin ister.
SCOPES = ['https://www.googleapis.com/auth/yt-analytics.readonly']
Uygulamanızın diğer kapsamlara da erişim isteğinde bulunması gerekebilir. Örneğin, YouTube Analytics API'yi ve YouTube Data API'yi çağıran bir uygulama için kullanıcıların YouTube hesaplarına erişim izni de vermesi gerekebilir. Yetkilendirmeye genel bakış, genellikle YouTube Analytics API'ye çağrı yapan uygulamalarda kullanılan kapsamları tanımlar.
Yetkilendirme kimlik bilgilerini ayarlama
Bu örneği yerel olarak ilk kez çalıştırmadan önce projeniz için yetkilendirme kimlik bilgilerini ayarlamanız gerekir:
- Google API Konsolu'nda proje oluşturun veya seçin.
- Projeniz için YouTube Analytics API'yi etkinleştirin.
- Kimlik bilgileri sayfasının en üstünde, OAuth izin ekranı sekmesini seçin. Bir E-posta adresi seçin, daha önce ayarlanmamışsa bir Ürün adı girin ve Kaydet düğmesini tıklayın.
- Credentials (Kimlik bilgileri) sayfasında Create credentials (Kimlik bilgileri oluştur) düğmesini tıklayın ve Oauth client ID'yi (Oauth istemci kimliği) seçin.
- Diğer uygulama türünü seçin, "YouTube Analytics API Hızlı Başlangıç Kılavuzu" adını girin ve Oluştur düğmesini tıklayın.
- Açılan iletişim kutusunu kapatmak için Tamam'ı tıklayın.
- İstemci kimliğinin sağındaki (JSON'u indir) düğmesini tıklayın.
- İndirilen dosyayı çalışma dizininize taşıyın.
Gerekli kitaplıkları yükleyin
Ayrıca, Python için Google API'leri İstemci Kitaplığı'nı ve bazı ek kitaplıkları da yüklemeniz gerekir:
pip install --upgrade google-api-python-client pip install --upgrade google-auth google-auth-oauthlib google-auth-httplib2
Kodu çalıştırma
Artık örneği gerçekten test etmeye hazırsınız:
- Aşağıdaki kod örneğini çalışma dizininize kopyalayın.
- Örnekte,
CLIENT_SECRETS_FILE
değişkeninin değerini, yetkilendirme kimlik bilgilerinizi ayarladıktan sonra indirdiğiniz dosyanın konumuyla eşleşecek şekilde güncelleyin. - Örnek kodu bir terminal penceresinde çalıştırın:
python yt_analytics_v2.py
- Yetkilendirme akışını tamamlayın. Kimlik doğrulama akışı tarayıcınıza otomatik olarak yüklenebilir veya kimlik doğrulama URL'sini bir tarayıcı penceresine kopyalamanız gerekebilir. Yetkilendirme akışının sonunda gerekirse tarayıcıda gösterilen yetkilendirme kodunu terminal pencerenize yapıştırın ve [return] düğmesini tıklayın.
- API sorgusu yürütülür ve JSON yanıtı, terminal penceresine gönderilir.
Örnek kod
# -*- 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' )