Source code for airflow.contrib.operators.gcp_speech_to_text_operator

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from airflow import AirflowException
from airflow.contrib.hooks.gcp_speech_to_text_hook import GCPSpeechToTextHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults

[docs]class GcpSpeechToTextRecognizeSpeechOperator(BaseOperator): """ Recognizes speech from audio file and returns it as text. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GcpSpeechToTextRecognizeSpeechOperator` :param config: information to the recognizer that specifies how to process the request. See more: :type config: dict or :param audio: audio data to be recognized. See more: :type audio: dict or :param project_id: Optional, Google Cloud Platform Project ID where the Compute Engine Instance exists. If set to None or missing, the default project_id from the GCP connection is used. :type project_id: str :param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud Platform. Defaults to 'google_cloud_default'. :type gcp_conn_id: str :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: (Optional) The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt. :type timeout: float """ # [START gcp_speech_to_text_synthesize_template_fields]
[docs] template_fields = ("audio", "config", "project_id", "gcp_conn_id", "timeout")
# [END gcp_speech_to_text_synthesize_template_fields] @apply_defaults def __init__( self, audio, config, project_id=None, gcp_conn_id="google_cloud_default", retry=None, timeout=None, *args, **kwargs ): = audio self.config = config self.project_id = project_id self.gcp_conn_id = gcp_conn_id self.retry = retry self.timeout = timeout self._validate_inputs() super(GcpSpeechToTextRecognizeSpeechOperator, self).__init__(*args, **kwargs)
[docs] def _validate_inputs(self): if == "": raise AirflowException("The required parameter 'audio' is empty") if self.config == "": raise AirflowException("The required parameter 'config' is empty")
[docs] def execute(self, context): _hook = GCPSpeechToTextHook(gcp_conn_id=self.gcp_conn_id) return _hook.recognize_speech( config=self.config,, retry=self.retry, timeout=self.timeout

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