feat(speech to text): ProcessingMetrics has processing_metrics field

Author: ehdsouza

ibm_watson/speech_to_text_v1.py

@@ -4968,7 +4968,8 @@ def __ne__(self, other):
 class ProcessingMetrics(object):
     """
     If processing metrics are requested, information about the service's processing of the
-    input audio.
+    input audio. Processing metrics are not available with the synchronous **Recognize
+    audio** method.
 
     :attr ProcessedAudio processed_audio: Detailed timing information about the service's
     processing of the input audio.
@@ -5945,7 +5946,8 @@ class SpeechRecognitionResults(object):
     methods that support them, it is possible for a `SpeechRecognitionResults` object to
     include only the `speaker_labels` field.
     :attr ProcessingMetrics processing_metrics: (optional) If processing metrics are
-    requested, information about the service's processing of the input audio.
+    requested, information about the service's processing of the input audio. Processing
+    metrics are not available with the synchronous **Recognize audio** method.
     :attr AudioMetrics audio_metrics: (optional) If audio metrics are requested,
     information about the signal characteristics of the input audio.
     :attr list[str] warnings: (optional) An array of warning messages associated with the
@@ -5967,6 +5969,7 @@ def __init__(self,
                  results=None,
                  result_index=None,
                  speaker_labels=None,
+                 processing_metrics=None,
                  audio_metrics=None,
                  warnings=None):
         """
@@ -5990,6 +5993,8 @@ def __init__(self,
         to include only the `speaker_labels` field.
         :param ProcessingMetrics processing_metrics: (optional) If processing metrics are
         requested, information about the service's processing of the input audio.
+        Processing metrics are not available with the synchronous **Recognize audio**
+        method.
         :param AudioMetrics audio_metrics: (optional) If audio metrics are requested,
         information about the signal characteristics of the input audio.
         :param list[str] warnings: (optional) An array of warning messages associated with
@@ -6010,6 +6015,7 @@ def __init__(self,
         self.results = results
         self.result_index = result_index
         self.speaker_labels = speaker_labels
+        self.processing_metrics = processing_metrics
         self.audio_metrics = audio_metrics
         self.warnings = warnings
 
@@ -6038,6 +6044,9 @@ def _from_dict(cls, _dict):
                 SpeakerLabelsResult._from_dict(x)
                 for x in (_dict.get('speaker_labels'))
             ]
+        if 'processing_metrics' in _dict:
+            args['processing_metrics'] = ProcessingMetrics._from_dict(
+                _dict.get('processing_metrics'))
         if 'audio_metrics' in _dict:
             args['audio_metrics'] = AudioMetrics._from_dict(
                 _dict.get('audio_metrics'))
@@ -6056,6 +6065,10 @@ def _to_dict(self):
             _dict['speaker_labels'] = [
                 x._to_dict() for x in self.speaker_labels
             ]
+        if hasattr(
+                self,
+                'processing_metrics') and self.processing_metrics is not None:
+            _dict['processing_metrics'] = self.processing_metrics._to_dict()
         if hasattr(self, 'audio_metrics') and self.audio_metrics is not None:
             _dict['audio_metrics'] = self.audio_metrics._to_dict()
         if hasattr(self, 'warnings') and self.warnings is not None:
@@ -6154,7 +6167,8 @@ class TrainingResponse(object):
 
     :attr list[TrainingWarning] warnings: (optional) An array of `TrainingWarning` objects
     that lists any invalid resources contained in the custom model. For custom language
-    models, invalid resources are grouped and identified by type of resource.
+    models, invalid resources are grouped and identified by type of resource. The method
+    can return warnings only if the `strict` parameter is set to `false`.
     """
 
     def __init__(self, warnings=None):
@@ -6164,6 +6178,7 @@ def __init__(self, warnings=None):
         :param list[TrainingWarning] warnings: (optional) An array of `TrainingWarning`
         objects that lists any invalid resources contained in the custom model. For custom
         language models, invalid resources are grouped and identified by type of resource.
+        The method can return warnings only if the `strict` parameter is set to `false`.
         """
         self.warnings = warnings