使用 Gunicorn 服务时 Flask 超时

Question

我有一个可以将音频文件转换为文本的应用程序。使用烧瓶和烧瓶插座。当我使用“python run.py”运行它时，它工作得很好，但是当我使用“gunicorn -k eventlet -b 0.0.0.0:5000 run:app”运行它时，它将停止在调用 google 的部分audio.py 文件中的语音转文本 api。

这些是现在的当前代码。

运行.py：

from ats import socketio, app, db

if __name__ == '__main__':
    db.create_all()
    socketio.run(app, host='0.0.0.0', port=5001, debug=True)

初始化.py

import logging, json

from flask import Flask, jsonify, render_template, request
from flask_socketio import SocketIO, emit, send
from flask_cors import CORS
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmall

app = Flask(__name__, instance_relative_config=True, static_folder="templates/static", template_folder="templates")

# Create db instance
db = SQLAlchemy(app)
ma = Marshmallow(app)

@app.route('/')
def index():
    return render_template('index.html');

# import models
from ats import models

# set up CORS
CORS(app)
socketio = SocketIO(app, cors_allowed_origins='*', async_mode='eventlet')


# import blueprints
from ats.product.product import product_blueprint

# register blueprints
app.register_blueprint(product_blueprint, url_prefix='/api/product')

from ats import error_handlers

产品.py

import os
import math
import eventlet
from os.path import join
from flask import Blueprint, request, jsonify, abort
from ats.utils import audio as AUDIO

product_blueprint = Blueprint('product', __name__)

@product_blueprint.route('/add', methods=['post'])
def addProduct():
    try:
        data = request.form

        foldername = data['name']
        scriptFile = request.files['script']
        audioFile = request.files['audio']

        # save the script and audio file to uploads folder
        FILE.createFolder(foldername)
        FILE.save(foldername, scriptFile)
        FILE.save(foldername, audioFile)

        # list the files in the uploads
        audioFiles = FILE.getAudioFileList(foldername)

        fileCount = len(audioFiles)
        currentFile = 1
        # ============ speech to text =============
        for file in audioFiles:
            recognizedText = AUDIO.convert(foldername, file)

            # save to database
            newAudio = {
                'name': file,
                'recognizedText': recognizedText,
                'length': duration,
            }
            Audio.add(newAudio)

            # emit event to update the client about the progress
            percent = math.floor((currentFile / float(fileCount) ) * 100) 
            emit('upload_progress', {'data': percent}, room=data['sid'], namespace='/')
            eventlet.sleep()
            currentFile += 1

        # Delete the files in uploads folder
        FILE.delete(foldername)

        return jsonify({'data': None, 'message': 'Product was added.', 'success': True}), 200
    except Exception as e:
        abort(500, str(e))

音频.py

import os
from ats import app

# Imports the Google Cloud client library
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types

# Instantiates a client
client = speech.SpeechClient()

def convert(foldername, filename):
    try:

        file = os.path.join(app.config['UPLOAD_FOLDER'], foldername, filename)

        # Loads the audio into memory
        with io.open(file, 'rb') as audio_file:
            content = audio_file.read()
            audio = types.RecognitionAudio(content=content)

        config = types.RecognitionConfig(
            encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
            sample_rate_hertz=48000,
            language_code='ja-JP')

        # Call speech in the audio file
        response = client.recognize(config, audio) # The code will stop here, that results to worker timeout in gunicorn

        return response
    except Exception as e:
        raise e

我已经寻找解决方案近一周了，但仍然找不到。谢谢你们的帮助。

Answer 1

当您直接使用python run.py没有应用超时的应用程序运行应用程序时，应用程序会花费任何需要的时间来处理，但是当您使用 Gunicorn 运行应用程序时，默认超时为 30 秒，这意味着如果您的应用程序执行此操作，您将收到超时错误30 秒内未回复。为了避免这种情况，您可以通过添加来增加 Gunicorn 设置的默认超时--timeout <timeinterval-in-seconds>

以下命令将超时设置为 10 分钟

gunicorn -k eventlet -b 0.0.0.0:5000 --timeout 600 run:app