Python—如何在不设置计时器的情况下等待函数完成进程

这是我第一次使用python，我不了解流程：

我正在使用Pocketsphinx进行语音到文本转换，功能

createAudio（videoclip）：

有问题。脚本不会运行整个

transcript（）

函数，或者只运行几秒钟，直到下一个函数启动。如何使

transcript（）

函数运行到完成，并且下一个函数可以启动/跟随，而无需设置计时器？因为视频文件稍后会有更大和不同的大小

用于测试：该.wav文件的大小为300MB，文本输出仅为4个字

def createAudio（视频剪辑）：

这是全部代码：

import moviepy.editor as mp
from moviepy.editor import *
import speech_recognition as sr
import shutil
from random import random
import threading
import time
import asyncio
import os
from pocketsphinx import AudioFile, get_model_path, get_data_path
from sphinxbase.sphinxbase import *

mp4_file = r'/Users/younesyaakoubi/Desktop/5min.mp4'
mp3_file = r'/Users/younesyaakoubi/Desktop/audio_only.wav'

newMethodmp3_file = r'/Users/younesyaakoubi/Desktop/AUDIO_FILE/audio_only.wav'


model_path = get_model_path()
data_path = get_data_path()

path = os.getcwd()

config = {
    'verbose': False,
    'audio_file': os.path.join(data_path, str(mp3_file)),
    'buffer_size': 2048,
    'no_search': False,
    'full_utt': False,
    # 'hmm': os.path.join(model_path, 'en-us'),
    # 'lm': os.path.join(model_path, 'en-us.lm.bin'),
    # 'dict': os.path.join(model_path, 'cmudict-en-us.dict')
}

r = sr.Recognizer()

pathOfFolder= "/Users/younesyaakoubi/Desktop/AUDIO_FILE"
audioFileName= "audio_only.wav"
scriptName="script.txt"

#Save Videofile into object to be handled by next function
def convert():
    videoclip = VideoFileClip(mp4_file)
    createAudio(videoclip)



 #Convert video to audio 
def createAudio(videoclip):

    pathOfSameFolder=str(pathOfFolder)
    dirCreated = True

    try:
        newDir=createDirectory(pathOfSameFolder)
    except OSError:

        print ('Error: Creating directory. ' +  str(pathOfSameFolder) + ' may be existing!')
        dirCreated = False 

    if dirCreated :
        audioclip = videoclip.audio
        audioclip.write_audiofile(mp3_file)
        audioclip.close()
        videoclip.close()
        print('Converting audio transcripts into text ...')
        transcript()
        directoryMove(newDir)

#Checks first if path exists and if not it creates one File
def createDirectory(pathOfFolder):
    sum = 0
    directory=" "
    #In Range wird die Maximale Anzahl der möglichen Ordner definiert 
    for num in range(5):
        
        if num==range:
            print("Not More Possible. Change Range !")
            exit()
        if not os.path.exists(pathOfFolder+str(num)):
            
            print("Directory or File name is: ", pathOfFolder+str(num) )

            #Make a new Folder or Directory
            os.makedirs(pathOfFolder+str(num))

            directory=pathOfFolder+str(num)

            sum =+num
            return directory
            break

#Move first Audiofile to Folder and change directory to continue
def directoryMove(directory):
    shutil.move('/Users/younesyaakoubi/Desktop/'+str(audioFileName), directory)
    shutil.move('/Users/younesyaakoubi/Desktop/'+str(scriptName), directory)
    
#DOES NOTHING YET !!!! - Downsample 44.1kHz to 8kH
def downSample():
    # Load into PyDub
    
    print("Downsampling of Audio succesful")

#createFolder('./AudioInput/')
#os.chdir("/Users/younesyaakoubi/Desktop/AUDIO_FILE")
#f.write(audioFile)

def transcript():
    with sr.AudioFile(str(audioFileName)) as source:
    
     audio_text = r.listen(source)

    #recoginize_() method will throw a request error if the API is unreachable, hence using exception handling
    try:
        
        # using Sphinx speech recognition
        text = r.recognize_sphinx(audio_text)
        

        f = open(str(scriptName),"w+")
        f.write(text)

        f.close()

        print("Converting succesful")
     
    except:
         print('Sorry.. run again...')
    
#keyWordSearch()
def keyWordSearch():
    audio = AudioFile(**config)
    for phrase in audio:
       
        #print(phrase)
        print("Find keywords...")

        f= open(str(scriptName),"a")
        f.write(" "+str(phrase))

        print("Keywords found")
        
        f.close()

#keyWordOrder()
def keyWordOrder():

    print("Classify Keywords")

    with open(str(scriptName)) as file:
   
    # reading each line    
        for line in file:
   
        # reading each word        
          for word in line.split():
   
            # displaying the words           
                print(word) 
    
    with open(str(scriptName)) as file:
         # reading each line    
        for line in file:
   
        # reading each word        
            for word in line.split():
   
            # displaying the words           
                print(word) 

#See in which Directory the path is described
print ("The current working directory is %s" % path)

convert()

print("Thanks for using xxxx")

Python是（除非指定）一种同步语言，这意味着前一个进程未完成时，进程不会/无法启动

应用到您的案例中，如果执行了

directoryMove（）

函数，则表示您的

transcript（）

函数以某种方式完全完成（可能失败）

---

您可以在这两个函数中打印更多的调试日志，以说服自己，并帮助您进一步调查问题所在。

了解转录本的功能将非常有用？我想它正在启动一个线程。在这种情况下，您必须捕获一个线程id并将其连接（）以等待线程结束

您如何知道下一个函数启动，而不是等待

transcript（）

完成？@quamrana因为textfile或

transcript（）

函数的输出不正确所以，可能

transcript（）

不起作用。@quamrana如果我使用50MB的较小的.wav文件，则“transcript（）”会返回更多文本。但也许你是对的。我会检查它，我会尝试线程。你有一个简单易懂的初学者源代码吗？python线程已经足够了。否，如果函数前面有No

async

关键字，它将不会启动异步线程。默认情况下，它是同步的，在同一个线程中。

import moviepy.editor as mp
from moviepy.editor import *
import speech_recognition as sr
import shutil
from random import random
import threading
import time
import asyncio
import os
from pocketsphinx import AudioFile, get_model_path, get_data_path
from sphinxbase.sphinxbase import *

mp4_file = r'/Users/younesyaakoubi/Desktop/5min.mp4'
mp3_file = r'/Users/younesyaakoubi/Desktop/audio_only.wav'

newMethodmp3_file = r'/Users/younesyaakoubi/Desktop/AUDIO_FILE/audio_only.wav'


model_path = get_model_path()
data_path = get_data_path()

path = os.getcwd()

config = {
    'verbose': False,
    'audio_file': os.path.join(data_path, str(mp3_file)),
    'buffer_size': 2048,
    'no_search': False,
    'full_utt': False,
    # 'hmm': os.path.join(model_path, 'en-us'),
    # 'lm': os.path.join(model_path, 'en-us.lm.bin'),
    # 'dict': os.path.join(model_path, 'cmudict-en-us.dict')
}

r = sr.Recognizer()

pathOfFolder= "/Users/younesyaakoubi/Desktop/AUDIO_FILE"
audioFileName= "audio_only.wav"
scriptName="script.txt"

#Save Videofile into object to be handled by next function
def convert():
    videoclip = VideoFileClip(mp4_file)
    createAudio(videoclip)



 #Convert video to audio 
def createAudio(videoclip):

    pathOfSameFolder=str(pathOfFolder)
    dirCreated = True

    try:
        newDir=createDirectory(pathOfSameFolder)
    except OSError:

        print ('Error: Creating directory. ' +  str(pathOfSameFolder) + ' may be existing!')
        dirCreated = False 

    if dirCreated :
        audioclip = videoclip.audio
        audioclip.write_audiofile(mp3_file)
        audioclip.close()
        videoclip.close()
        print('Converting audio transcripts into text ...')
        transcript()
        directoryMove(newDir)

#Checks first if path exists and if not it creates one File
def createDirectory(pathOfFolder):
    sum = 0
    directory=" "
    #In Range wird die Maximale Anzahl der möglichen Ordner definiert 
    for num in range(5):
        
        if num==range:
            print("Not More Possible. Change Range !")
            exit()
        if not os.path.exists(pathOfFolder+str(num)):
            
            print("Directory or File name is: ", pathOfFolder+str(num) )

            #Make a new Folder or Directory
            os.makedirs(pathOfFolder+str(num))

            directory=pathOfFolder+str(num)

            sum =+num
            return directory
            break

#Move first Audiofile to Folder and change directory to continue
def directoryMove(directory):
    shutil.move('/Users/younesyaakoubi/Desktop/'+str(audioFileName), directory)
    shutil.move('/Users/younesyaakoubi/Desktop/'+str(scriptName), directory)
    
#DOES NOTHING YET !!!! - Downsample 44.1kHz to 8kH
def downSample():
    # Load into PyDub
    
    print("Downsampling of Audio succesful")

#createFolder('./AudioInput/')
#os.chdir("/Users/younesyaakoubi/Desktop/AUDIO_FILE")
#f.write(audioFile)

def transcript():
    with sr.AudioFile(str(audioFileName)) as source:
    
     audio_text = r.listen(source)

    #recoginize_() method will throw a request error if the API is unreachable, hence using exception handling
    try:
        
        # using Sphinx speech recognition
        text = r.recognize_sphinx(audio_text)
        

        f = open(str(scriptName),"w+")
        f.write(text)

        f.close()

        print("Converting succesful")
     
    except:
         print('Sorry.. run again...')
    
#keyWordSearch()
def keyWordSearch():
    audio = AudioFile(**config)
    for phrase in audio:
       
        #print(phrase)
        print("Find keywords...")

        f= open(str(scriptName),"a")
        f.write(" "+str(phrase))

        print("Keywords found")
        
        f.close()

#keyWordOrder()
def keyWordOrder():

    print("Classify Keywords")

    with open(str(scriptName)) as file:
   
    # reading each line    
        for line in file:
   
        # reading each word        
          for word in line.split():
   
            # displaying the words           
                print(word) 
    
    with open(str(scriptName)) as file:
         # reading each line    
        for line in file:
   
        # reading each word        
            for word in line.split():
   
            # displaying the words           
                print(word) 

#See in which Directory the path is described
print ("The current working directory is %s" % path)

convert()

print("Thanks for using xxxx")