From OpenLP
Jump to: navigation, search

Over the years we've used more and more threads in OpenLP for running things like web servers, downloads and other things that need to happen concurrently with the UI. Unfortunately because everything has been in bits and in various places, we've never had a unified way to run and keep track of threads. Thankfully we've largely not run into many issues, but in the lead up to version 3.0 we did start running into segfaults not just when OpenLP stopped, but also preventing OpenLP from starting.

New Threading API

When you want to create a thread, use this very simple thread API to ensure OpenLP knows about your thread.

Creating a thread: run_thread()

from openlp.core.threading import ThreadWorker, run_thread

class Worker(ThreadWorker):
    def start(self):
        Do your stuff in here, then emit the quit signal.
        self.server = Server()

    def stop(self):
        If your thread is long-running, this is how OpenLP will stop it
        if it is still running when the user exits OpenLP.

class MyClass(object):
    def run_server(self):
        Run the server in a thread
        worker = Worker()
        run_thread(worker, 'my_server')

Fetch the worker: get_thread_worker()

from openlp.core.threading import get_thread_worker

def stop_server():
    Stop the server
    worker = get_thread_worker('my_server')

Check if thread is finished: is_thread_finished()

from openlp.core.threading import is_thread_finished

def monitor_server():
    Check if the server is still running
    if is_thread_finished('my_server'):
        print('Server is stopped, uhoh!')
        print('Server is still running, all is good.')