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"""This module contains a Google Text to Speech operator."""

from __future__ import annotations

from tempfile import NamedTemporaryFile
from typing import TYPE_CHECKING, Sequence

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault

from airflow.exceptions import AirflowException
from import GCSHook
from import CloudTextToSpeechHook
from import GoogleCloudBaseOperator
from import FileDetailsLink

    from google.api_core.retry import Retry
    from import AudioConfig, SynthesisInput, VoiceSelectionParams

    from airflow.utils.context import Context

[docs]class CloudTextToSpeechSynthesizeOperator(GoogleCloudBaseOperator): """ Synthesizes text to speech and stores it in Google Cloud Storage. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:CloudTextToSpeechSynthesizeOperator` :param input_data: text input to be synthesized. See more: :param voice: configuration of voice to be used in synthesis. See more: :param audio_config: configuration of the synthesized audio. See more: :param target_bucket_name: name of the GCS bucket in which output file should be stored :param target_filename: filename of the output file. :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_text_to_speech_synthesize_template_fields]
[docs] template_fields: Sequence[str] = ( "input_data", "voice", "audio_config", "project_id", "gcp_conn_id", "target_bucket_name", "target_filename", "impersonation_chain", )
# [END gcp_text_to_speech_synthesize_template_fields] def __init__( self, *, input_data: dict | SynthesisInput, voice: dict | VoiceSelectionParams, audio_config: dict | AudioConfig, target_bucket_name: str, target_filename: str, project_id: str = PROVIDE_PROJECT_ID, gcp_conn_id: str = "google_cloud_default", retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: self.input_data = input_data self.voice = voice self.audio_config = audio_config self.target_bucket_name = target_bucket_name self.target_filename = target_filename 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: for parameter in [ "input_data", "voice", "audio_config", "target_bucket_name", "target_filename", ]: if getattr(self, parameter) == "": raise AirflowException(f"The required parameter '{parameter}' is empty")
[docs] def execute(self, context: Context) -> None: hook = CloudTextToSpeechHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) result = hook.synthesize_speech( input_data=self.input_data, voice=self.voice, audio_config=self.audio_config, retry=self.retry, timeout=self.timeout, ) with NamedTemporaryFile() as temp_file: temp_file.write(result.audio_content) cloud_storage_hook = GCSHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) cloud_storage_hook.upload( bucket_name=self.target_bucket_name, object_name=self.target_filename, ) FileDetailsLink.persist( context=context, task_instance=self, uri=f"{self.target_bucket_name}/{self.target_filename}", project_id=cloud_storage_hook.project_id, )

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