Esempi di codice Python

I seguenti esempi di codice, che utilizzano la libreria client delle API di Google per Python, sono disponibili per YouTube Reporting API e YouTube Analytics API. Puoi scaricare questi esempi di codice dalla cartella python del repository di esempi di codice delle API di YouTube su GitHub.

Report collettivi

Recuperare i report

Questo esempio di codice mostra come recuperare i report creati da un job specifico. Chiama il metodo jobs.list per recuperare i job di generazione dei report. Quindi chiama il metodo reports.list con il parametro jobId impostato su un ID job specifico per recuperare i report creati da quel job. Infine, l'esempio stampa l'URL di download per ogni report.

#!/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)

Crea un job di generazione report

Questo esempio di codice mostra come creare un job di generazione dei report. Chiama il metodo reportTypes.list per recuperare un elenco dei tipi di report disponibili. Quindi chiama il metodo jobs.create per creare un nuovo job di generazione di report.

#!/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)

Report sulle query mirate

Recuperare le statistiche giornaliere del canale

Questo esempio chiama l'API YouTube Analytics per recuperare le visualizzazioni giornaliere e altre metriche per il canale dell'utente che autorizza per l'anno solare 2017. L'esempio utilizza la libreria client Python delle API di Google.

Il codice richiede l'autorizzazione dell'utente per accedere all'ambito https://www.googleapis.com/auth/yt-analytics.readonly.

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

La tua applicazione potrebbe anche dover richiedere l'accesso ad altri ambiti. Ad esempio, un'applicazione che chiama l'API YouTube Analytics e l'API YouTube Data potrebbe richiedere agli utenti di concedere l'accesso anche ai propri account YouTube. La panoramica dell'autorizzazione identifica gli ambiti in genere utilizzati nelle applicazioni che chiamano l'API YouTube Analytics.

Configura le credenziali di autorizzazione

Prima di eseguire questo esempio localmente per la prima volta, devi configurare le credenziali di autorizzazione per il tuo progetto:

  1. Crea o seleziona un progetto nella console API di Google.
  2. Attiva l'API YouTube Analytics per il tuo progetto.
  3. Nella parte superiore della pagina Credenziali, seleziona la scheda Schermata per il consenso OAuth. Seleziona un indirizzo email, inserisci un nome prodotto se non è già impostato e fai clic sul pulsante Salva.
  4. Nella pagina Credenziali, fai clic sul pulsante Crea credenziali e seleziona ID client OAuth.
  5. Seleziona il tipo di applicazione Altro, inserisci il nome "API YouTube Analytics Quickstart" e fai clic sul pulsante Crea.
  6. Fai clic su Ok per chiudere la finestra di dialogo risultante.
  7. Fai clic sul pulsante (Scarica JSON) a destra dell'ID client.
  8. Sposta il file scaricato nella directory di lavoro.

Installa le librerie richieste

Devi anche installare la libreria client delle API di Google per Python e alcune librerie aggiuntive:


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

Esegui il codice

Ora puoi testare il campione:

  1. Copia l'esempio di codice riportato di seguito nella tua directory di lavoro.
  2. Nell'esempio, aggiorna il valore della variabile CLIENT_SECRETS_FILE in modo che corrisponda alla posizione del file scaricato dopo aver configurato le credenziali di autorizzazione.
  3. Esegui il codice campione in una finestra del terminale:
    python yt_analytics_v2.py
  4. Segui il flusso di autorizzazione. Il flusso di autenticazione potrebbe caricarsi automaticamente nel browser oppure potrebbe essere necessario copiare l'URL di autenticazione in una finestra del browser. Al termine del flusso di autorizzazione, se necessario, incolla il codice di autorizzazione visualizzato nel browser nella finestra del terminale e fai clic su [Invio].
  5. La query API viene eseguita e la risposta JSON viene restituita nella finestra del terminale.

Codice di esempio

# -*- 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'
  )