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from google.protobuf.json_format import MessageToDict
from airflow import AirflowException
from airflow.contrib.hooks.gcp_speech_to_text_hook import GCPSpeechToTextHook
from airflow.contrib.hooks.gcp_translate_hook import CloudTranslateHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
[docs]class GcpTranslateSpeechOperator(BaseOperator):
"""
Recognizes speech in audio input and translates it.
Note that it uses the first result from the recognition api response - the one with the highest confidence
In order to see other possible results please use
:ref:`howto/operator:GcpSpeechToTextRecognizeSpeechOperator`
and
:ref:`howto/operator:CloudTranslateTextOperator`
separately
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:GcpTranslateSpeechOperator`
See https://cloud.google.com/translate/docs/translating-text
Execute method returns string object with the translation
This is a list of dictionaries queried value.
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.
Dictionary is set as XCom return value.
:param audio: audio data to be recognized. See more:
https://googleapis.github.io/google-cloud-python/latest/speech/gapic/v1/types.html#google.cloud.speech_v1.types.RecognitionAudio
:type audio: dict or google.cloud.speech_v1.types.RecognitionAudio
:param config: information to the recognizer that specifies how to process the request. See more:
https://googleapis.github.io/google-cloud-python/latest/speech/gapic/v1/types.html#google.cloud.speech_v1.types.RecognitionConfig
:type config: dict or google.cloud.speech_v1.types.RecognitionConfig
: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.
Check the list of available languages here: https://cloud.google.com/translate/docs/languages
:type target_language: str
:param format_: (Optional) One of ``text`` or ``html``, to specify
if the input text is plain text or HTML.
:type format_: str or None
:param source_language: (Optional) The language of the text to
be translated.
:type source_language: str or None
:param model: (Optional) The model used to translate the text, such
as ``'base'`` or ``'nmt'``.
:type model: str or None
:param project_id: Optional, Google Cloud Platform Project ID where the Compute
Engine Instance exists. If set to None or missing, the default project_id from the GCP connection is
used.
:type project_id: str
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud
Platform. Defaults to 'google_cloud_default'.
:type gcp_conn_id: str
"""
# [START translate_speech_template_fields]
[docs] template_fields = ('target_language', 'format_', 'source_language', 'model', 'project_id', 'gcp_conn_id')
# [END translate_speech_template_fields]
@apply_defaults
def __init__(
self,
audio,
config,
target_language,
format_,
source_language,
model,
project_id=None,
gcp_conn_id='google_cloud_default',
*args,
**kwargs
):
super(GcpTranslateSpeechOperator, self).__init__(*args, **kwargs)
self.audio = audio
self.config = config
self.target_language = target_language
self.format_ = format_
self.source_language = source_language
self.model = model
self.project_id = project_id
self.gcp_conn_id = gcp_conn_id
[docs] def execute(self, context):
_speech_to_text_hook = GCPSpeechToTextHook(gcp_conn_id=self.gcp_conn_id)
_translate_hook = CloudTranslateHook(gcp_conn_id=self.gcp_conn_id)
recognize_result = _speech_to_text_hook.recognize_speech(
config=self.config, audio=self.audio
)
recognize_dict = MessageToDict(recognize_result)
self.log.info("recognition operation finished", recognize_dict)
if len(recognize_dict['results']) == 0:
self.log.info("No recognition results")
return {}
self.log.debug("recognition result: %s", recognize_dict)
try:
transcript = recognize_dict['results'][0]['alternatives'][0]['transcript']
except KeyError as key:
raise AirflowException("Wrong response '{}' returned - it should contain {} field"
.format(recognize_dict, key))
try:
translation = _translate_hook.translate(
values=transcript,
target_language=self.target_language,
format_=self.format_,
source_language=self.source_language,
model=self.model
)
self.log.info('translated output: %s', translation)
return translation
except ValueError as e:
self.log.error('An error has been thrown from translate speech method:')
self.log.error(e)
raise AirflowException(e)