:py:mod:`airflow.providers.google.cloud.operators.translate`
============================================================

.. py:module:: airflow.providers.google.cloud.operators.translate

.. autoapi-nested-parse::

   This module contains Google Translate operators.


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   airflow.providers.google.cloud.operators.translate.CloudTranslateTextOperator


.. py:class:: CloudTranslateTextOperator(*, values, target_language, format_, source_language, model, gcp_conn_id = 'google_cloud_default', impersonation_chain = None, **kwargs)

   Bases: :py:obj:`airflow.models.BaseOperator`

   Translate a string or list of strings.

   .. seealso::
       For more information on how to use this operator, take a look at the guide:
       :ref:`howto/operator:CloudTranslateTextOperator`

   See https://cloud.google.com/translate/docs/translating-text

   Execute method returns str or list.

   This is a list of dictionaries for each queried value. Each
   dictionary typically contains three keys (though not
   all will be present in all cases).

   * ``detectedSourceLanguage``: The detected language (as an
     ISO 639-1 language code) of the text.
   * ``translatedText``: The translation of the text into the
     target language.
   * ``input``: The corresponding input value.
   * ``model``: The model used to translate the text.

   If only a single value is passed, then only a single
   dictionary is set as XCom return value.

   :param values: String or list of strings to translate.

   :param target_language: The language to translate results into. This
     is required by the API and defaults to
     the target language of the current instance.

   :param format_: (Optional) One of ``text`` or ``html``, to specify
     if the input text is plain text or HTML.

   :param source_language: (Optional) The language of the text to
     be translated.

   :param model: (Optional) The model used to translate the text, such
     as ``'base'`` or ``'nmt'``.

   :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).


   .. py:attribute:: template_fields
      :annotation: :Sequence[str] = ['values', 'target_language', 'format_', 'source_language', 'model', 'gcp_conn_id',...

      
   .. py:method:: execute(self, context)

      This is the main method to derive when creating an operator.
      Context is the same dictionary used as when rendering jinja templates.

      Refer to get_template_context for more context.