Source code for airflow.contrib.hooks.gcp_translate_hook

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from google.cloud.translate_v2 import Client
from airflow.contrib.hooks.gcp_api_base_hook import GoogleCloudBaseHook


[docs]class CloudTranslateHook(GoogleCloudBaseHook): """ Hook for Google Cloud translate APIs. """
[docs] _client = None
def __init__(self, gcp_conn_id='google_cloud_default'): super(CloudTranslateHook, self).__init__(gcp_conn_id)
[docs] def get_conn(self): """ Retrieves connection to Cloud Translate :return: Google Cloud Translate client object. :rtype: Client """ if not self._client: self._client = Client(credentials=self._get_credentials()) return self._client
[docs] def translate( self, values, target_language, format_=None, source_language=None, model=None ): """Translate a string or list of strings. See https://cloud.google.com/translate/docs/translating-text :type values: str or list :param values: String or list of strings to translate. :type target_language: str :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. :type format_: str :param format_: (Optional) One of ``text`` or ``html``, to specify if the input text is plain text or HTML. :type source_language: str or None :param source_language: (Optional) The language of the text to be translated. :type model: str or None :param model: (Optional) The model used to translate the text, such as ``'base'`` or ``'nmt'``. :rtype: str or list :returns: 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 will be returned. :raises: :class:`~exceptions.ValueError` if the number of values and translations differ. """ client = self.get_conn() return client.translate( values=values, target_language=target_language, format_=format_, source_language=source_language, model=model,
)