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.
"""
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: google.cloud.translate_v2.Client
"""
if not self._client:
self._client = Client(credentials=self._get_credentials())
return self._client
@GoogleCloudBaseHook.quota_retry()
[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,
)