我将使用Celery为你处理异步任务。你需要安装代理以充当任务队列（建议使用RabbitMQ和Redis）。
app.py：
from flask import Flask
from celery import Celery
broker_url = 'amqp://guest@localhost' # Broker URL for RabbitMQ task queue
app = Flask(__name__)
celery = Celery(app.name, broker=broker_url)
celery.config_from_object('celeryconfig') # Your celery configurations in a celeryconfig.py
@celery.task(bind=True)
def some_long_task(self, x, y):
# Do some long task
...
@app.route('/render/<id>', methods=['POST'])
def render_script(id=None):
...
data = json.loads(request.data)
text_list = data.get('text_list')
final_file = audio_class.render_audio(data=text_list)
some_long_task.delay(x, y) # Call your async task and pass whatever necessary variables
return Response(
mimetype='application/json',
status=200
)
运行你的Flask应用，然后启动另一个过程来运行你的Celery工作者。
$ celery worker -A app.celery --loglevel=debug
602392714
清零编程群