Source code for airflow.providers.google.cloud.operators.speech_to_text

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"""This module contains a Google Speech to Text operator."""
from typing import TYPE_CHECKING, Optional, Sequence, Union

from google.api_core.retry import Retry
from google.cloud.speech_v1.types import RecognitionConfig
from google.protobuf.json_format import MessageToDict

from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.speech_to_text import CloudSpeechToTextHook, RecognitionAudio

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class CloudSpeechToTextRecognizeSpeechOperator(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:CloudSpeechToTextRecognizeSpeechOperator`

    :param config: information to the recognizer that specifies how to process the request. See more:
        https://googleapis.github.io/google-cloud-python/latest/speech/gapic/v1/types.html#google.cloud.speech_v1.types.RecognitionConfig
    :param audio: audio data to be recognized. See more:
        https://googleapis.github.io/google-cloud-python/latest/speech/gapic/v1/types.html#google.cloud.speech_v1.types.RecognitionAudio
    :param project_id: Optional, Google Cloud Project ID where the Compute
        Engine Instance exists. If set to None or missing, the default project_id from the Google Cloud
        connection is used.
    :param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud.
        Defaults to 'google_cloud_default'.
    :param retry: (Optional) A retry object used to retry requests. If None is specified,
            requests will not be retried.
    :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.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_speech_to_text_synthesize_template_fields]
[docs]    template_fields: Sequence[str] = (
        "audio",
        "config",
        "project_id",
        "gcp_conn_id",
        "timeout",
        "impersonation_chain",
    )
    # [END gcp_speech_to_text_synthesize_template_fields]

    def __init__(
        self,
        *,
        audio: RecognitionAudio,
        config: RecognitionConfig,
        project_id: Optional[str] = None,
        gcp_conn_id: str = "google_cloud_default",
        retry: Optional[Retry] = None,
        timeout: Optional[float] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        self.audio = 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()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.audio == "":
            raise AirflowException("The required parameter 'audio' is empty")
        if self.config == "":
            raise AirflowException("The required parameter 'config' is empty")

[docs]    def execute(self, context: 'Context'):
        hook = CloudSpeechToTextHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        response = hook.recognize_speech(
            config=self.config, audio=self.audio, retry=self.retry, timeout=self.timeout
        )
        return MessageToDict(response)