import threading
import custom_speech_recognition as sr
from datetime import timedelta
from heapq import merge

PHRASE_TIMEOUT = 3.05
MAX_PHRASES = 10

class AudioTranscriber:
    def __init__(self, source, language):
        self.language = language
        self.transcript_data = []
        self.transcript_changed_event = threading.Event()
        self.audio_recognizer = sr.Recognizer()
        self.audio_sources = {
                "sample_rate": source.SAMPLE_RATE,
                "sample_width": source.SAMPLE_WIDTH,
                "channels": source.channels,
                "last_sample": bytes(),
                "last_spoken": None,
                "new_phrase": True,
        }

    def transcribe_audio_queue(self, audio_queue):
        while True:
            audio, time_spoken = audio_queue.get()
            self.update_last_sample_and_phrase_status(audio, time_spoken)

            text = ''
            try:
                audio_data = self.process_data()
                text = self.audio_recognizer.recognize_google(audio_data, language=self.language)
            except Exception as e:
                pass
            finally:
                pass

            if text != '':
                self.update_transcript(text)

    def update_last_sample_and_phrase_status(self, data, time_spoken):
        source_info = self.audio_sources
        if source_info["last_spoken"] and time_spoken - source_info["last_spoken"] > timedelta(seconds=PHRASE_TIMEOUT):
            source_info["last_sample"] = bytes()
            source_info["new_phrase"] = True
        else:
            source_info["new_phrase"] = False

        source_info["last_sample"] += data
        source_info["last_spoken"] = time_spoken

    def process_data(self):
        print(self.audio_sources["last_sample"])
        audio_data = sr.AudioData(self.audio_sources["last_sample"], self.audio_sources["sample_rate"], self.audio_sources["sample_width"])
        return audio_data

    def update_transcript(self, text):
        source_info = self.audio_sources
        transcript = self.transcript_data

        if source_info["new_phrase"] or len(transcript) == 0:
            if len(transcript) > MAX_PHRASES:
                transcript.pop(-1)
            transcript.insert(0, text)
        else:
            transcript[0] = text

    def get_transcript(self):
        if len(self.transcript_data) > 0:
            text = self.transcript_data.pop(-1)
        else:
            text = ""
        return text

    def clear_transcript_data(self):
        self.transcript_data.clear()
        self.audio_sources["last_sample"] = bytes()
        self.audio_sources["new_phrase"] = True