| :mod:`airflow.providers.google.cloud.operators.text_to_speech` |
| ============================================================== |
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| .. py:module:: airflow.providers.google.cloud.operators.text_to_speech |
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| .. autoapi-nested-parse:: |
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| This module contains a Google Text to Speech operator. |
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| Module Contents |
| --------------- |
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| .. py:class:: CloudTextToSpeechSynthesizeOperator(*, input_data: Union[Dict, SynthesisInput], voice: Union[Dict, VoiceSelectionParams], audio_config: Union[Dict, AudioConfig], target_bucket_name: str, target_filename: str, 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) |
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| Bases: :class:`airflow.models.BaseOperator` |
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| Synthesizes text to speech and stores it in Google Cloud Storage |
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| .. seealso:: |
| For more information on how to use this operator, take a look at the guide: |
| :ref:`howto/operator:CloudTextToSpeechSynthesizeOperator` |
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| :param input_data: text input to be synthesized. See more: |
| https://googleapis.github.io/google-cloud-python/latest/texttospeech/gapic/v1/types.html#google.cloud.texttospeech_v1.types.SynthesisInput |
| :type input_data: dict or google.cloud.texttospeech_v1.types.SynthesisInput |
| :param voice: configuration of voice to be used in synthesis. See more: |
| https://googleapis.github.io/google-cloud-python/latest/texttospeech/gapic/v1/types.html#google.cloud.texttospeech_v1.types.VoiceSelectionParams |
| :type voice: dict or google.cloud.texttospeech_v1.types.VoiceSelectionParams |
| :param audio_config: configuration of the synthesized audio. See more: |
| https://googleapis.github.io/google-cloud-python/latest/texttospeech/gapic/v1/types.html#google.cloud.texttospeech_v1.types.AudioConfig |
| :type audio_config: dict or google.cloud.texttospeech_v1.types.AudioConfig |
| :param target_bucket_name: name of the GCS bucket in which output file should be stored |
| :type target_bucket_name: str |
| :param target_filename: filename of the output file. |
| :type target_filename: str |
| :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. |
| :type project_id: str |
| :param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud. |
| 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 |
| :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). |
| :type impersonation_chain: Union[str, Sequence[str]] |
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| .. attribute:: template_fields |
| :annotation: = ['input_data', 'voice', 'audio_config', 'project_id', 'gcp_conn_id', 'target_bucket_name', 'target_filename', 'impersonation_chain'] |
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| .. method:: _validate_inputs(self) |
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| .. method:: execute(self, context) |
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