milton0825 commented on a change in pull request #5102: [AIRFLOW-4318] Create 
Google Cloud Translate Speech Operator
URL: https://github.com/apache/airflow/pull/5102#discussion_r276100196
 
 

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 File path: airflow/contrib/operators/gcp_translate_speech_operator.py
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 @@ -0,0 +1,156 @@
+# -*- coding: utf-8 -*-
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+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
+
+
+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
+
+    :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 or None
+    :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'``.
+
+    :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]
+    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
+
+    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)
+
+        if len(recognize_dict['results']) == 0:
+            self.log.info("No recognition results")
+            return {}
+
+        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: {}'.format(translation))
 
 Review comment:
   Avoid formatting the string before passing to the logger. In case the 
message does not need to be logged, the full string still got initialized.
   ```suggestion
               self.log.info('translated output: %s',translation)
   ```

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