From 5b7a05379f11e26b8b3c6fbaec01d423c4eea44b Mon Sep 17 00:00:00 2001
From: zevav <zev@averba.ch>
Date: Thu, 7 Mar 2019 17:58:27 -0500
Subject: [PATCH] fixed #42, fixed #43, got sample rate programmatically

---
 GO_EMC_100914_Interview_bit_goog.mp3.txt      | 6186 ++++++++++++++++
 GO_EMC_100914_Interview_first_minute.mp3.txt  | 6180 ++++++++++++++++
 ...view_first_minute_phone_call_model.mp3.txt | 6293 +++++++++++++++++
 tatt/config.py                                |    8 -
 tatt/helpers.py                               |   10 +-
 tatt/transcribe.py                            |   24 +-
 tatt/vendors/google.py                        |   31 +-
 7 files changed, 18706 insertions(+), 26 deletions(-)
 create mode 100644 GO_EMC_100914_Interview_bit_goog.mp3.txt
 create mode 100644 GO_EMC_100914_Interview_first_minute.mp3.txt
 create mode 100644 GO_EMC_100914_Interview_first_minute_phone_call_model.mp3.txt

diff --git a/GO_EMC_100914_Interview_bit_goog.mp3.txt b/GO_EMC_100914_Interview_bit_goog.mp3.txt
new file mode 100644
index 0000000..0788249
--- /dev/null
+++ b/GO_EMC_100914_Interview_bit_goog.mp3.txt
@@ -0,0 +1,6186 @@
+alternatives {
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diff --git a/GO_EMC_100914_Interview_first_minute.mp3.txt b/GO_EMC_100914_Interview_first_minute.mp3.txt
new file mode 100644
index 0000000..426dd62
--- /dev/null
+++ b/GO_EMC_100914_Interview_first_minute.mp3.txt
@@ -0,0 +1,6180 @@
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diff --git a/GO_EMC_100914_Interview_first_minute_phone_call_model.mp3.txt b/GO_EMC_100914_Interview_first_minute_phone_call_model.mp3.txt
new file mode 100644
index 0000000..974d2c2
--- /dev/null
+++ b/GO_EMC_100914_Interview_first_minute_phone_call_model.mp3.txt
@@ -0,0 +1,6293 @@
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+    }
+    word: "would"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 43
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 44
+    }
+    word: "say"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 44
+    }
+    end_time {
+      seconds: 44
+      nanos: 200000000
+    }
+    word: "probably"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 44
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 44
+      nanos: 800000000
+    }
+    word: "not."
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 44
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 45
+      nanos: 800000000
+    }
+    word: "Okay."
+    confidence: 0.9068471193313599
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 45
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 47
+      nanos: 200000000
+    }
+    word: "Okay"
+    confidence: 0.9117027521133423
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 47
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 47
+      nanos: 700000000
+    }
+    word: "question"
+    confidence: 0.9585370421409607
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 47
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 47
+      nanos: 800000000
+    }
+    word: "number"
+    confidence: 0.9585370421409607
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 47
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 48
+      nanos: 400000000
+    }
+    word: "three."
+    confidence: 0.8494411110877991
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 51
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 52
+      nanos: 700000000
+    }
+    word: "What\'s"
+    confidence: 0.9585370421409607
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 52
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 52
+      nanos: 900000000
+    }
+    word: "been"
+    confidence: 0.7144803404808044
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 52
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 52
+      nanos: 900000000
+    }
+    word: "your"
+    confidence: 0.9585370421409607
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 52
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 53
+      nanos: 400000000
+    }
+    word: "overall"
+    confidence: 0.7725422978401184
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 53
+      nanos: 400000000
+    }
+    end_time {
+      seconds: 53
+      nanos: 500000000
+    }
+    word: "experience"
+    confidence: 0.9585370421409607
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 53
+      nanos: 500000000
+    }
+    end_time {
+      seconds: 54
+      nanos: 200000000
+    }
+    word: "with"
+    confidence: 0.9585370421409607
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 54
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 54
+      nanos: 500000000
+    }
+    word: "with"
+    confidence: 0.8205204010009766
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 54
+      nanos: 500000000
+    }
+    end_time {
+      seconds: 54
+      nanos: 900000000
+    }
+    word: "outdoor"
+    confidence: 0.644698441028595
+    speaker_tag: 1
+  }
+  words {
+    start_time {
+      seconds: 54
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 55
+      nanos: 100000000
+    }
+    word: "thing?"
+    confidence: 0.6228474378585815
+    speaker_tag: 1
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
diff --git a/tatt/config.py b/tatt/config.py
index f9a9738..ea1bc70 100644
--- a/tatt/config.py
+++ b/tatt/config.py
@@ -8,14 +8,6 @@ BUCKET_NAME_FMTR_TRANSCRIPT = 'tatt-transcript-{}'
 BUCKET_NAME_FMTR_TRANSCRIPT_GOOGLE = 'tatt_transcript_{}'
 
 
-def GOOGLE_SPEECH_USE_ENHANCED():
-    enhanced = os.getenv('GOOGLE_SPEECH_USE_ENHANCED')
-    if enhanced and enhanced == 'true':
-        return True
-    else:
-        return False
-
-
 if os.getenv('AWS_CONFIG_FILEPATH'):
     AWS_CONFIG_FILEPATH = Path(os.getenv('AWS_CONFIG_FILEPATH'))
 else:
diff --git a/tatt/helpers.py b/tatt/helpers.py
index cb2377a..b822ea7 100644
--- a/tatt/helpers.py
+++ b/tatt/helpers.py
@@ -124,10 +124,18 @@ def get_transcription_jobs_dict():
 
 
 def get_num_audio_channels(filepath):
+    return get_media_info(filepath).channels
+
+
+def get_sample_rate(filepath):
+    return get_media_info(filepath).samplerate
+
+
+def get_media_info(filepath):
     if isinstance(filepath, pathlib.PurePosixPath):
         filepath = str(filepath)
     with audioread.audio_open(filepath) as f:
-        return f.channels
+        return f
 
 
 def shell_call(command):
diff --git a/tatt/transcribe.py b/tatt/transcribe.py
index ad05e12..de572f8 100644
--- a/tatt/transcribe.py
+++ b/tatt/transcribe.py
@@ -88,15 +88,33 @@ def status(job_name):
 
 
 @cli.command()
+@click.option('--punctuation', is_flag=True, default=True, 
+              help='only for Google Speech, defaults to True')
+@click.option('--speaker-id', is_flag=True, default=True, 
+              help='only for Google Speech, defaults to True')
+@click.option('--model', default='phone_call', 
+              help='only for Google Speech, defaults to "phone_call"')
+@click.option('--use-enhanced', is_flag=True, default=True,
+              help='only for Google Speech, defaults to True')
 @click.argument('media_filepath', type=str)
 @click.argument('service_name', type=str)
-def this(media_filepath, service_name):
+def this(media_filepath, service_name, punctuation, speaker_id, model,
+         use_enhanced):
     """Sends a media file to be transcribed."""
+    if service_name == 'google':
+        transcribe_kwargs = dict(
+            enable_automatic_punctuation=punctuation,
+            enable_speaker_diarization=speaker_id,
+            model=model,
+            use_enhanced=use_enhanced,
+            )
+    else:
+        transcribe_kwargs = {}
     try:
         service = get_service(service_name)
     except KeyError as e:
         raise click.ClickException(
-            f'No such service! {print_all_services(print_=False)}')
+            f'No such service! {helpers.make_string_all_services()}')
 
     try:
         s = service(media_filepath)
@@ -107,7 +125,7 @@ def this(media_filepath, service_name):
       f'Okay, transcribing {media_filepath} using {service_name}...')
 
     try:
-        job_num = s.transcribe()
+        job_num = s.transcribe(**transcribe_kwargs)
     except exceptions.AlreadyExistsError as e:
         raise click.ClickException(str(e))
     click.echo(f'Okay, job {job_num} is being transcribed.  Use "get" '
diff --git a/tatt/vendors/google.py b/tatt/vendors/google.py
index 43da19b..4187185 100644
--- a/tatt/vendors/google.py
+++ b/tatt/vendors/google.py
@@ -30,7 +30,7 @@ def _check_for_config():
 class Transcriber(TranscriberBaseClass):
 
     SUPPORTED_FORMATS = ['flac']
-    cost_per_15_seconds = .009
+    cost_per_15_seconds = [.004, .006, .009]
     no_config_error_message = (
             'Please sign up for the Google Speech-to-Text API '
             'and put the path to your credentials in an '
@@ -80,9 +80,14 @@ class Transcriber(TranscriberBaseClass):
     def check_for_config() -> bool:
         return _check_for_config()
 
-    def transcribe(self) -> str:
+    def upload_file_if_too_big(self):
+        """10MB limit as of Mar 7, 2019"""
+        pass
+
+    def transcribe(self, **kwargs) -> str:
         self.convert_file_format_if_needed()
-        self._request_transcription()
+        self.upload_file_if_too_big()
+        self._request_transcription(**kwargs)
 
     def _check_if_transcript_exists(self, transcript_name=None):
         return storage.Blob(
@@ -93,16 +98,17 @@ class Transcriber(TranscriberBaseClass):
     def _request_transcription(
             self, 
             language_code='en-US',
-            # model='video',
+            enable_automatic_punctuation=True,
+            enable_speaker_diarization=True,
+            model='phone_call',
+            use_enhanced=True,
             ) -> str:
         """Returns the job_name"""
         if self._check_if_transcript_exists():
             raise exceptions.AlreadyExistsError(
                 f'{self.basename} already exists on {NAME}')
         num_audio_channels = helpers.get_num_audio_channels(self.filepath)
-
-        use_enhanced = config_mod.GOOGLE_SPEECH_USE_ENHANCED()
-        print(use_enhanced)
+        sample_rate = helpers.get_sample_rate(self.filepath)
 
         with io.open(self.filepath, 'rb') as audio_file:
             content = audio_file.read()
@@ -110,19 +116,16 @@ class Transcriber(TranscriberBaseClass):
 
         config = speech.types.RecognitionConfig(
             encoding=speech.enums.RecognitionConfig.AudioEncoding.FLAC,
-            sample_rate_hertz=44100,
+            sample_rate_hertz=sample_rate,
             audio_channel_count=num_audio_channels,
             enable_separate_recognition_per_channel=True,
             enable_word_confidence=True,
             enable_word_time_offsets=True,
             language_code=language_code,
-            enable_automatic_punctuation=True,
-            enable_speaker_diarization=True,
-            # not clear whether this has to be 'phone_call' in order to
-            # use_enhanced
-            model='video',
+            enable_automatic_punctuation=enable_automatic_punctuation,
+            enable_speaker_diarization=enable_speaker_diarization,
+            model=model,
             use_enhanced=use_enhanced,
-            # model=model,
             )
 
         self.operation = self.speech_client.long_running_recognize(config,