import speech_recognition as spr
import multiprocessing as mp
import os.path
import filesystem
import log

def async_create_transcript(filename):
    mp.Process(target=create_and_save_transcript,args=(filename,)).start()

def create_and_save_transcript(filename):
    transcript = analyse(filename)
    filesystem.save_transcript(transcript)

def analyse(filename):
    ''' returns the transcripted audio, or None if the analysis fails '''
    recognizer = spr.Recognizer()
    with spr.AudioFile(filename) as source:
        audio = recognizer.record(source)

    try:
        string = recognizer.recognize_google(audio)
    except spr.UnknownValueError:
        log.log("Audio file is broken or not an audio file")
        return None
    except spr.RequestError as e:
        log.log("Could not connect to google API: {}".format(e))
        return None

    return string