I am trying to write a program which creates new threads in a loop, and doesn't wait for them to finish.
As I understand it if I use .start() on the thread, my main loop should just continue, and the other thread will go off and do its work at the same time
However once my new thread starts, the loop blocks until the thread completes.
Have I misunderstood how threading works in Python, or is there something stupid I'm doing?
Here is my code for creating new threads.
def MainLoop():
print 'started'
while 1:
if not workQ.empty():
newThread = threading.Thread(target=DoWorkItem(), args=())
newThread.daemon = True
newThread.start()
else:
print 'queue empty'
This calls the function and passes its result as target:
threading.Thread(target=DoWorkItem(), args=())
Lose the parentheses to pass the function object itself:
threading.Thread(target=DoWorkItem, args=())
Related
I've made a program which has a main thread that spawns many other threads by subclassing the threading.Thread class.
Each such child thread runs an infinite while loop, and inside the loop I check a condition. If the condition is true, I make the thread sleep for 1 second using time.sleep(1) and if it's false, then the thread performs some computation.
The program itself works fine and I've achieved what I wanted to do, my only remaining problem is that I seem unable to stop the threads after my work is done. I want the user to be able to kill all the threads by pressing a button or giving a keyboard interrupt like Ctrl+C.
For this I had tried using the signal module and inserted a conditon in the threads' loops that breaks the loop when the main thread catches a signal but it didn't work for some reason. Can anyone please help with this?
EDIT: This is some of the relevant code snippets:
def sighandler(signal,frame):
BaseThreadClass.stop_flag = True
class BaseThreadClass(threading.Thread):
stop_flag = False
def __init__(self):
threading.Thread.__init__(self)
def run(self,*args):
while True:
if condition:
time.sleep(1)
else:
#do computation and stuff
if BaseThreadClass.stop_flag:
#do cleanup
break
Your basic method does work, but you've still not posted enough code to show the flaw. I added a few lines of code to make it runnable and produced a result like:
$ python3 test.py
thread alive
main alive
thread alive
main alive
^CSignal caught
main alive
thread alive
main alive
main alive
main alive
^CSignal caught
^CSignal caught
main alive
^Z
[2]+ Stopped python3 test.py
$ kill %2
The problem demonstrated above involves the signal handler telling all the threads to exit, except the main thread, which still runs and still catches interrupts. The full source of this variant of the sample snippet is:
import threading, signal, time
def sighandler(signal,frame):
BaseThreadClass.stop_flag = True
print("Signal caught")
class BaseThreadClass(threading.Thread):
stop_flag = False
def __init__(self):
threading.Thread.__init__(self)
def run(self,*args):
while True:
if True:
time.sleep(1)
print("thread alive")
else:
#do computation and stuff
pass
if BaseThreadClass.stop_flag:
#do cleanup
break
signal.signal(signal.SIGINT, sighandler)
t = BaseThreadClass()
t.start()
while True:
time.sleep(1)
print("main alive")
The problem here is that the main thread never checks for the quit condition. But as you never posted what the main thread does, nor how the signal handler is activated, or information regarding whether threads may go a long time without checking the quit condition... I still don't know what went wrong in your program. The signal example shown in the library documentation raises an exception in order to divert the main thread.
Signals are a rather low level concept for this task, however. I took the liberty of writing a somewhat more naïve version of the main thread:
try:
t = BaseThreadClass()
t.start()
while True:
time.sleep(1)
print("main alive")
except KeyboardInterrupt:
BaseThreadClass.stop_flag = True
t.join()
This version catches the exception thrown by the default interrupt handler, signals the thread to stop, and waits for it to do so. It might even be appropriate to change the except clause to a finally, since we could want to clean the threads up on other errors too.
If you want to do this kind of "cooperative" polled-shutdown, you can use a threading.Event to signal:
import threading
import time
def proc1():
while True:
print("1") # payload
time.sleep(1)
# have we been signalled to stop?
if not ev1.wait(0): break
# do any shutdown etc. here
print ("T1 exiting")
ev1 = threading.Event()
ev1.set()
thread1 = threading.Thread(target=proc1)
thread1.start()
time.sleep(3)
# signal thread1 to stop
ev1.clear()
But be aware that if the "payload" does something blocking like network or file IO, that op will not be interrupted. You can do those blocking ops with a timeout, but that obviously will complicate your code.
EDIT 9/15/16: In my original code (still posted below) I tried to use .join() with a function, which is a silly mistake because it can only be used with a thread object. I am trying to
(1) continuously run a thread that gets data and saves it to a file
(2) have a second thread, or incorporate queue, that will stop the program once a user enters a flag (i.e. "stop"). It doesn't interrupt the data gathering/saving thread.
I need help with multithreading. I am trying to run two threads, one that handles data and the second checks for a flag to stop the program.
I learned by trial and error that I can't interrupt a while loop without my computer exploding. Additionally, I have abandoned my GUI code because it made my code too complicated with the mulithreading.
What I want to do is run a thread that gathers data from an Arduino, saves it to a file, and repeats this. The second thread will scan for a flag -- which can be a raw_input? I can't think of anything else that a user can do to stop the data acquisition program.
I greatly appreciate any help on this. Here is my code (much of it is pseudocode, as you can see):
#threading
import thread
import time
global flag
def monitorData():
print "running!"
time.sleep(5)
def stopdata(flag ):
flag = raw_input("enter stop: ")
if flag == "stop":
monitorData.join()
flag = "start"
thread.start_new_thread( monitorData,())
thread.start_new_thread( stopdata,(flag,))
The error I am getting is this when I try entering "stop" in the IDLE.
Unhandled exception in thread started by
Traceback (most recent call last):
File "c:\users\otangu~1\appdata\local\temp\IDLE_rtmp_h_frd5", line 16, in stopdata
AttributeError: 'function' object has no attribute 'join'
Once again I really appreciate any help, I have taught myself Python so far and this is the first huge wall that I've hit.
The error you see is a result of calling join on the function. You need to call join on the thread object. You don't capture a reference to the thread so you have no way to call join anyway. You should join like so.
th1 = thread.start_new_thread( monitorData,())
# later
th1.join()
As for a solution, you can use a Queue to communicate between threads. The queue is used to send a quit message to the worker thread and if the worker does not pick anything up off the queue for a second it runs the code that gathers data from the arduino.
from threading import Thread
from Queue import Queue, Empty
def worker(q):
while True:
try:
item = q.get(block=True, timeout=1)
q.task_done()
if item == "quit":
print("got quit msg in thread")
break
except Empty:
print("empty, do some arduino stuff")
def input_process(q):
while True:
x = raw_input("")
if x == 'q':
print("will quit")
q.put("quit")
break
q = Queue()
t = Thread(target=worker, args=(q,))
t.start()
t2 = Thread(target=input_process, args=(q,))
t2.start()
# waits for the `task_done` function to be called
q.join()
t2.join()
t.join()
It's possibly a bit more code than you hoped for and having to detect the queue is empty with an exception is a little ugly, but this doesn't rely on any global variables and will always exit promptly. That wont be the case with sleep based solutions, which need to wait for any current calls to sleep to finish before resuming execution.
As noted by someone else, you should really be using threading rather than the older thread module and also I would recommend you learn with python 3 and not python 2.
You're looking for something like this:
from threading import Thread
from time import sleep
# "volatile" global shared by threads
active = True
def get_data():
while active:
print "working!"
sleep(3)
def wait_on_user():
global active
raw_input("press enter to stop")
active = False
th1 = Thread(target=get_data)
th1.start()
th2 = Thread(target=wait_on_user)
th2.start()
th1.join()
th2.join()
You made a few obvious and a few less obvious mistakes in your code. First, join is called on a thread object, not a function. Similarly, join doesn't kill a thread, it waits for the thread to finish. A thread finishes when it has no more code to execute. If you want a thread to run until some flag is set, you normally include a loop in your thread that checks the flag every second or so (depending on how precise you need the timing to be).
Also, the threading module is preferred over the lower lever thread module. The latter has been removed in python3.
This is not possible. The thread function has to finish. You can't join it from the outside.
from threading import Thread
class MyClass:
#...
def method2(self):
while True:
try:
hashes = self.target.bssid.replace(':','') + '.pixie'
text = open(hashes).read().splitlines()
except IOError:
time.sleep(5)
continue
# function goes on ...
def method1(self):
new_thread = Thread(target=self.method2())
new_thread.setDaemon(True)
new_thread.start() # Main thread will stop there, wait until method 2
print "Its continues!" # wont show =(
# function goes on ...
Is it possible to do like that?
After new_thread.start() Main thread waits until its done, why is that happening? i didn't provide new_thread.join() anywhere.
Daemon doesn't solve my problem because my problem is that Main thread stops right after new thread start, not because main thread execution is end.
As written, the call to the Thread constructor is invoking self.method2 instead of referring to it. Replace target=self.method2() with target=self.method2 and the threads will run in parallel.
Note that, depending on what your threads do, CPU computations might still be serialized due to the GIL.
IIRC, this is because the program doesn't exit until all non-daemon threads have finished execution. If you use a daemon thread instead, it should fix the issue. This answer gives more details on daemon threads:
Daemon Threads Explanation
Before you read on, know that I'm new to Python and very new to threading so forgive me if I misunderstand how threads work or make a rookie error :P
Short description of my goal:
The main thread (a) does some things (e.g. prints "begin!")
Main thread spawns a new thread (b) that first prints "Thread B
started" and then prints x+1 forever (1, 2, 3 ...)
Main thread prints "Woop!"
Then the end of the main thread is reached, it terminates itself and
then switches to thread b making b the main thread
Program is now running thread b as the main thread so is just
printing x+1 forever and a has been forgotten and is no longer
relevant
Ctrl+C will terminate thread b and effectively, the whole program
will be terminated because thread a doesn't exist anymore
Here's what I have so far (the basics):
import threading, time
def printCount():
print "Thread B started"
x = 0
while True:
time.sleep(1)
x = x + 1
print x
## User Code ##
print "begin!"
threadB = threading.Thread(target=printCount)
threadB.start()
print "woop!"
The requirements are:
I don't want to modify below the 'User Code' mark much at all. I
certainly don't want to wrap it in a class, a function or it's own
thread
Pressing Ctrl+C at any point should terminate the entire program
with no threads left running (Using something like: except
KeyboardInterrupt: os._exit(1)) inside User Code is fine
Thread a may continue to run instead of making thread b the main
thread, but in this case, I don't want the code to handle Ctrl+C
terminating the entire program inside the User Code section
This example is not my actual goal, just a simplified version of the problem I'm having. I'm trying to make an IRC framework where the user can import it and use the API very simply without messying their own code with threads and interrupts and the like. This is why it's important for the user code to be as clean as possible.
The framework would allow the user to create an IRC bot which runs forever, listening to commands whilst allowing the user to add their own commands. The Github link is here if you're interested (It's very WIP atm).
You cannot "switch" threads. So once you're done with your main thread, you have to wait for the other threads to terminate using the method join. But note this:
Since the join method is not interruptible with KeyboardInterrupt, you need to specify a timeout and loop over to detect user interrupts.
Since you can't force a thread to terminate, you have to implement a stop mecanism using threading.Event for instance
You also need to use threading.Lock to prevent concurrent access on shared resources, like sys.stdout (used when you print)
I gathered these aspects in a class called ThreadHandler, please have a look:
import threading, time
def printCount(lock, stop):
with lock:
print "Thread B started"
x = 0
while not stop.is_set():
time.sleep(1)
x = x + 1
with lock:
print x
class ThreadHandler():
STEP = 0.2
def __init__(self, target):
self.lock = threading.Lock()
self.stop = threading.Event()
args = (self.lock, self.stop)
self.thread = threading.Thread(target=target, args=args)
def start(self):
self.thread.start()
def join(self):
while self.thread.is_alive():
try:
self.thread.join(self.STEP)
except KeyboardInterrupt:
self.stop.set()
## User Code ##
print "begin!"
handler = ThreadHandler(target=printCount)
handler.start()
with handler.lock:
print "woop!"
handler.join()
Wrote a short note on another question yesterday having similar issues, this is a check you could implement in the subthread "b":
Instead of while 1: do the following:
def printCount():
main = None
for t in threading.enumerate():
if t.name == 'MainThread':
main = t
print "Thread B started"
x = 0
while main and main.isAlive():
time.sleep(1)
x = x + 1
print x
It would be a good idea to store main in the global scope for all threads to use isntead of having to look up the main thread each and every initation of the sub-thread.
But this would do the work in your example.
main will be the handle towards your main thread by iterating through all threads (.enumerate()) and then placing the thread called "MainThread" into main and then calling main.isAlive() to check if it's still running.
if main is None or False or if .isAlive() returns False it will indicate that the thread is either non-existant or dead, shutting down your subthread :)
You can't switch threads like that. It doesn't work like that.
However you could use signals with a global flag ALIVE:
import threading, time, signal
ALIVE = True
def handle_sigint(signum, frame):
global ALIVE
ALIVE = False
signal.signal(signal.SIGINT, handle_sigint)
def printCount():
print "Thread B started"
x = 0
while ALIVE: # <--- note the change
time.sleep(1)
x = x + 1
print x
## User Code ##
print "begin!"
threadB = threading.Thread(target=printCount)
threadB.start()
print "woop!"
signal.pause() # <--- wait for signals
Now it will gracefully quit after pressing CTRL+C.
I've a python program that spawns a number of threads. These threads last anywhere between 2 seconds to 30 seconds. In the main thread I want to track whenever each thread completes and print a message. If I just sequentially .join() all threads and the first thread lasts 30 seconds and others complete much sooner, I wouldn't be able to print a message sooner -- all messages will be printed after 30 seconds.
Basically I want to block until any thread completes. As soon as a thread completes, print a message about it and go back to blocking if any other threads are still alive. If all threads are done then exit program.
One way I could think of is to have a queue that is passed to all the threads and block on queue.get(). Whenever a message is received from the queue, print it, check if any other threads are alive using threading.active_count() and if so, go back to blocking on queue.get(). This would work but here all the threads need to follow the discipline of sending a message to the queue before terminating.
I'm wonder if this is the conventional way of achieving this behavior or are there any other / better ways ?
Here's a variation on #detly's answer that lets you specify the messages from your main thread, instead of printing them from your target functions. This creates a wrapper function which calls your target and then prints a message before terminating. You could modify this to perform any kind of standard cleanup after each thread completes.
#!/usr/bin/python
import threading
import time
def target1():
time.sleep(0.1)
print "target1 running"
time.sleep(4)
def target2():
time.sleep(0.1)
print "target2 running"
time.sleep(2)
def launch_thread_with_message(target, message, args=[], kwargs={}):
def target_with_msg(*args, **kwargs):
target(*args, **kwargs)
print message
thread = threading.Thread(target=target_with_msg, args=args, kwargs=kwargs)
thread.start()
return thread
if __name__ == '__main__':
thread1 = launch_thread_with_message(target1, "finished target1")
thread2 = launch_thread_with_message(target2, "finished target2")
print "main: launched all threads"
thread1.join()
thread2.join()
print "main: finished all threads"
The thread needs to be checked using the Thread.is_alive() call.
Why not just have the threads themselves print a completion message, or call some other completion callback when done?
You can the just join these threads from your main program, so you'll see a bunch of completion messages and your program will terminate when they're all done, as required.
Here's a quick and simple demonstration:
#!/usr/bin/python
import threading
import time
def really_simple_callback(message):
"""
This is a really simple callback. `sys.stdout` already has a lock built-in,
so this is fine to do.
"""
print message
def threaded_target(sleeptime, callback):
"""
Target for the threads: sleep and call back with completion message.
"""
time.sleep(sleeptime)
callback("%s completed!" % threading.current_thread())
if __name__ == '__main__':
# Keep track of the threads we create
threads = []
# callback_when_done is effectively a function
callback_when_done = really_simple_callback
for idx in xrange(0, 10):
threads.append(
threading.Thread(
target=threaded_target,
name="Thread #%d" % idx,
args=(10 - idx, callback_when_done)
)
)
[t.start() for t in threads]
[t.join() for t in threads]
# Note that thread #0 runs for the longest, but we'll see its message first!
What I would suggest is loop like this
while len(threadSet) > 0:
time.sleep(1)
for thread in theadSet:
if not thread.isAlive()
print "Thread "+thread.getName()+" terminated"
threadSet.remove(thread)
There is a 1 second sleep, so there will be a slight delay between the thread termination and the message being printed. If you can live with this delay, then I think this is a simpler solution than the one you proposed in your question.
You can let the threads push their results into a threading.Queue. Have another thread wait on this queue and print the message as soon as a new item appears.
I'm not sure I see the problem with using:
threading.activeCount()
to track the number of threads that are still active?
Even if you don't know how many threads you're going to launch before starting it seems pretty easy to track. I usually generate thread collections via list comprehension then a simple comparison using activeCount to the list size can tell you how many have finished.
See here: http://docs.python.org/library/threading.html
Alternately, once you have your thread objects you can just use the .isAlive method within the thread objects to check.
I just checked by throwing this into a multithread program I have and it looks fine:
for thread in threadlist:
print(thread.isAlive())
Gives me a list of True/False as the threads turn on and off. So you should be able to do that and check for anything False in order to see if any thread is finished.
I use a slightly different technique because of the nature of the threads I used in my application. To illustrate, this is a fragment of a test-strap program I wrote to scaffold a barrier class for my threading class:
while threads:
finished = set(threads) - set(threading.enumerate())
while finished:
ttt = finished.pop()
threads.remove(ttt)
time.sleep(0.5)
Why do I do it this way? In my production code, I have a time limit, so the first line actually reads "while threads and time.time() < cutoff_time". If I reach the cut-off, I then have code to tell the threads to shut down.