[Update] change transcription_recorder.py/transcription_transcriber.py/notification.py func name

models/transcription/transcription_recorder.py

@@ -15,11 +15,11 @@ class BaseRecorder:
 
         self.source = source
 
-    def adjust_for_noise(self):
+    def adjustForNoise(self):
         with self.source:
             self.recorder.adjust_for_ambient_noise(self.source)
 
-    def record_into_queue(self, audio_queue):
+    def recordIntoQueue(self, audio_queue):
         def record_callback(_, audio):
             audio_queue.put((audio.get_raw_data(), datetime.now()))
 
@@ -32,7 +32,7 @@ class SelectedMicRecorder(BaseRecorder):
             sample_rate=int(device["defaultSampleRate"]),
         )
         super().__init__(source=source, energy_threshold=energy_threshold, dynamic_energy_threshold=dynamic_energy_threshold, record_timeout=record_timeout)
-        # self.adjust_for_noise()
+        # self.adjustForNoise()
 
 class SelectedSpeakerRecorder(BaseRecorder):
     def __init__(self, device, energy_threshold, dynamic_energy_threshold, record_timeout):
@@ -44,7 +44,7 @@ class SelectedSpeakerRecorder(BaseRecorder):
             channels=device["maxInputChannels"]
         )
         super().__init__(source=source, energy_threshold=energy_threshold, dynamic_energy_threshold=dynamic_energy_threshold, record_timeout=record_timeout)
-        # self.adjust_for_noise()
+        # self.adjustForNoise()
 
 class BaseEnergyRecorder:
     def __init__(self, source):
@@ -59,15 +59,15 @@ class BaseEnergyRecorder:
 
         self.source = source
 
-    def adjust_for_noise(self):
+    def adjustForNoise(self):
         with self.source:
             self.recorder.adjust_for_ambient_noise(self.source)
 
-    def record_into_queue(self, energy_queue):
-        def record_callback(_, energy):
+    def recordIntoQueue(self, energy_queue):
+        def recordCallback(_, energy):
             energy_queue.put(energy)
 
-        self.stop = self.recorder.listen_energy_in_background(self.source, record_callback)
+        self.stop = self.recorder.listen_energy_in_background(self.source, recordCallback)
 
 class SelectedMicEnergyRecorder(BaseEnergyRecorder):
     def __init__(self, device):
@@ -76,7 +76,7 @@ class SelectedMicEnergyRecorder(BaseEnergyRecorder):
             sample_rate=int(device["defaultSampleRate"]),
         )
         super().__init__(source=source)
-        # self.adjust_for_noise()
+        # self.adjustForNoise()
 
 class SelectedSpeakeEnergyRecorder(BaseEnergyRecorder):
     def __init__(self, device):
@@ -88,4 +88,4 @@ class SelectedSpeakeEnergyRecorder(BaseEnergyRecorder):
             channels=device["maxInputChannels"]
         )
         super().__init__(source=source)
-        # self.adjust_for_noise()
+        # self.adjustForNoise()

models/transcription/transcription_transcriber.py

@@ -24,13 +24,13 @@ class AudioTranscriber:
                 "last_sample": bytes(),
                 "last_spoken": None,
                 "new_phrase": True,
-                "process_data_func": self.process_speaker_data if speaker else self.process_speaker_data
+                "process_data_func": self.processSpeakerData if speaker else self.processSpeakerData
         }
 
-    def transcribe_audio_queue(self, audio_queue, language):
+    def transcribeAudioQueue(self, audio_queue, language):
         # while True:
         audio, time_spoken = audio_queue.get()
-        self.update_last_sample_and_phrase_status(audio, time_spoken)
+        self.updateLastSampleAndPhraseStatus(audio, time_spoken)
 
         text = ''
         try:
@@ -45,9 +45,9 @@ class AudioTranscriber:
             # os.unlink(path)
 
         if text != '':
-            self.update_transcript(text)
+            self.updateTranscript(text)
 
-    def update_last_sample_and_phrase_status(self, data, time_spoken):
+    def updateLastSampleAndPhraseStatus(self, data, time_spoken):
         source_info = self.audio_sources
         if source_info["last_spoken"] and time_spoken - source_info["last_spoken"] > timedelta(seconds=self.phrase_timeout):
             source_info["last_sample"] = bytes()
@@ -58,11 +58,11 @@ class AudioTranscriber:
         source_info["last_sample"] += data
         source_info["last_spoken"] = time_spoken
 
-    def process_mic_data(self):
+    def processMicData(self):
         audio_data = AudioData(self.audio_sources["last_sample"], self.audio_sources["sample_rate"], self.audio_sources["sample_width"])
         return audio_data
 
-    def process_speaker_data(self):
+    def processSpeakerData(self):
         temp_file = BytesIO()
         with wave.open(temp_file, 'wb') as wf:
             wf.setnchannels(self.audio_sources["channels"])
@@ -74,7 +74,7 @@ class AudioTranscriber:
             audio = self.audio_recognizer.record(source)
         return audio
 
-    def update_transcript(self, text):
+    def updateTranscript(self, text):
         source_info = self.audio_sources
         transcript = self.transcript_data
 
@@ -85,14 +85,14 @@ class AudioTranscriber:
         else:
             transcript[0] = text
 
-    def get_transcript(self):
+    def getTranscript(self):
         if len(self.transcript_data) > 0:
             text = self.transcript_data.pop(-1)
         else:
             text = ""
         return text
 
-    def clear_transcript_data(self):
+    def clearTranscriptData(self):
         self.transcript_data.clear()
         self.audio_sources["last_sample"] = bytes()
         self.audio_sources["new_phrase"] = True