Backgroundworker in python - python

I'm an inexperienced python programmer.
Is there a way to use the backgroundworker so that it starts at program startup and closes when program close?
I want it to watch a button, the button returns 1 when pressed. So while the program in running whenever button = 1 button has to do "this".
Can anyone help me with this?

Would make sense to start a separate thread within your main program and do anything in the background. As an example check the fairly simple code below:
import threading
import time
#Routine that processes whatever you want as background
def YourLedRoutine():
while 1:
print 'tick'
time.sleep(1)
t1 = threading.Thread(target=YourLedRoutine)
#Background thread will finish with the main program
t1.setDaemon(True)
#Start YourLedRoutine() in a separate thread
t1.start()
#You main program imitated by sleep
time.sleep(5)

As of Python 3.3, the Thread constructor has a daemon argument. Konstantin's answer works, but I like the brevity of needing only one line to start a thread:
import threading, time
MAINTENANCE_INTERVAL = 60
def maintenance():
""" Background thread doing various maintenance tasks """
while True:
# do things...
time.sleep(MAINTENANCE_INTERVAL)
threading.Thread(target=maintenance, daemon=True).start()
As the documentation mentions, daemon threads exit as soon as the main thread exit, so you still need to keep your main thread busy while the background worker does its thing. In my case, I start a web server after starting the thread.

Related

Run threaded function from another function in Python

I ran through several other questions and I'm not sure what I'm doing wrong.
What I want to do is run function zapisNoveho i background, so the main task doesn't have to wait.
#Otevírání
if(obj_stav-obj_stav_novy == -1):
zapis(obj,3)
dbChanger.zapisDb(obj,3)
#display.checkState()
#cvaknutí relé zde
th = threading.Thread(target=zapisNoveho,args=(obj,obj_stav_novy))
th.start()
def zapisNoveho(obj,obj_stav_novy):
#Zápis nového stavu po odmlce
sleep(10)
zapis(obj,obj_stav_novy)
dbChanger.zapisDb(obj,obj_stav_novy)
From what I see in log, the main program is waiting for the sleep part.
Can you please tell what am I doing wrong? Is it better to use Asyncio for this case?
Thank you!
the main program is waiting for the sleep part.
It is likely that it isn't the main program waiting for the sleep, but the thread th that you have started. This might not be obvious from logs, because logs from both threads will go to the same terminal window, so I recommend to add a thread identifier to your log lines (e.g. via threading.get_ident()) so that you can clearly see which thread is writing which line of the log.

python function not running as thread

this is done in python 2.7.12
serialHelper is a class module arround python serial and this code does work nicely
#!/usr/bin/env python
import threading
from time import sleep
import serialHelper
sh = serialHelper.SerialHelper()
def serialGetter():
h = 0
while True:
h = h + 1
s_resp = sh.getResponse()
print ('response ' + s_resp)
sleep(3)
if __name__ == '__main__':
try:
t = threading.Thread(target=sh.serialReader)
t.setDaemon(True)
t.start()
serialGetter()
#tSR = threading.Thread(target=serialGetter)
#tSR.setDaemon(True)
#tSR.start()
except Exception as e:
print (e)
however the attemp to run serialGetter as thread as remarked it just dies.
Any reason why that function can not run as thread ?
Quoting from the Python documentation:
The entire Python program exits when no alive non-daemon threads are left.
So if you setDaemon(True) every new thread and then exit the main thread (by falling off the end of the script), the whole program will exit immediately. This kills all of the threads. Either don't use setDaemon(True), or don't exit the main thread without first calling join() on all of the threads you want to wait for.
Stepping back for a moment, it may help to think about the intended use case of a daemon thread. In Unix, a daemon is a process that runs in the background and (typically) serves requests or performs operations, either on behalf of remote clients over the network or local processes. The same basic idea applies to daemon threads:
You launch the daemon thread with some kind of work queue.
When you need some work done on the thread, you hand it a work object.
When you want the result of that work, you use an event or a future to wait for it to complete.
After requesting some work, you always eventually wait for it to complete, or perhaps cancel it (if your worker protocol supports cancellation).
You don't have to clean up the daemon thread at program termination. It just quietly goes away when there are no other threads left.
The problem is step (4). If you forget about some work object, and exit the app without waiting for it to complete, the work may get interrupted. Daemon threads don't gracefully shut down, so you could leave the outside world in an inconsistent state (e.g. an incomplete database transaction, a file that never got closed, etc.). It's often better to use a regular thread, and replace step (5) with an explicit "Finish up your work and shut down" work object that the main thread hands to the worker thread before exiting. The worker thread then recognizes this object, stops waiting on the work queue, and terminates itself once it's no longer doing anything else. This is slightly more up-front work, but is much safer in the event that a work object is inadvertently abandoned.
Because of all of the above, I recommend not using daemon threads unless you have a strong reason for them.

Writing to a serial link continuously from a GUI program: need to use threads?

I've written a GUI program with PyQt4 that has to send a message string over a serial data link.
I have implemented a GUI interface with two button widgets. I need to send the data over the serial link continuously, once per second when the first button is clicked, and then stop when the second button is clicked.
My current program is able to send data only at the instant a button is clicked. This is the method I wrote to handle the button click signal:
def sendMessage(self):
while 1:
print "Hello........"
if checke == False:
break
Do I need to use threads to solve this problem?
It depends... if the send operation is fast, you can use the QTimer class. It integrates with the Qt event loop so you don't have to worry about threading issues. Serial communications can be slow, depending on how much data you are sending, so I can't say for sure if this is the right solution for you.
Yes. The key to GUI programming is never do any long operation on the main thread, because it'll block the whole program until that operation is complete.
If you want to continuously send data over network, do it in a background thread.
Some example code for you.
class MessageWorker(QtCore.QThread):
def __init__(self):
super(ParserWorker, self).__init__()
self.ok_to_send = False
self.terminated = True
def run(self):
while not self.terminated:
if self.ok_to_send:
self.send_message()
time.sleep(1)
def start_send():
self.ok_to_send = True
def pause_send():
self.ok_to_send = False
def terminated():
self.terminated = False
Then in the main program just call
worker = MessageWorker()
worker.start() # Start the background thread
worker.start_send() # Start sending message
worker.pause_send() # Pause sending message
worker.terminated() # Stop sending message permanently
Yes, you need to use threads. In any GUI-based program, any work that's going to take a non-trivial amount of time should always happen on a separate thread to avoid blocking the UI—whenever you see an "unresponsive" program, that's almost always due to the program failing to process window messages because its UI thread is blocked inside some long operation.
One easy way to startup a background thread is to use the threading module. Here's how you might use it to write data to the serial port once per second:
class MyClass:
# This method will run on a separate thread
def _serial_port_worker(self):
while self._run_worker:
self.send_data_to_serial_port()
time.sleep(1)
# Call this to start the worker thread
def start_worker_thread(self):
self._run_worker = True
worker_thread = threading.Thread(target=self._serial_port_worker,
args=(self,))
worker_thread.start()
# Call this to tell the worker thread to stop
def stop_worker_thread(self):
self._run_worker = False
Basically you have three options:
Use a second thread to do the serial comms. GUI toolkits aren't always thread-safe, so you should only make calls to them from the main thread. Additionally, there is a limitation to threading in Python; only one thread at a time can be executing Python bytecode.
Use the GUI toolkit's timeout function (might be called differently) to create an event every now and then. In the event handler do the serial comms. Make sure that you use non-blocking reads and writes (in pyserial, configure a timeout in the Serial object), otherwise your app might become unresponsive.
Do the serial communications from the second program using the multiprocessing module. Even if the second process blocks, it won't affect the GUI. You can use multiprocessing.Queue to communicate between the QUI and the other process.

How do I make a button in my tk UI that makes the program do a whole ton of stuff when it is pressed not freeze the window?

I'm just getting started with Tk and using it in python. I set up a button that does a ton (like two minutes worth) of stuff behind the scenes when you press it. I also set up a status text to show what's going on while this is happening. I set it up like this:
status_text = Tkinter.StringVar()
ttk.Button(mainframe, text="Stats!", command=go).grid(column=1, row=4)
def go(*args):
status_text.set("Logging in...")
do_lots_of_stuff()
status_text.set("Doing stuff #1...")
do_even_more_stuff()
status_text.set("Success!")
The problem is that when you press that button the window freezes, and the status text never actually changes. It looks broken, and doesn't come out of this state until all the processing finishes 2-3 minutes later. How do I make it not freeze and update the status text?
It's time to learn multithreading!
What's happening is that the GUI (main thread) is waiting for the method to return so that it can continue updating the interface.
You'll want to cause the action of a button to spawn a threading.Thread instead of running the heavy code in the main thread. You'll also want to create a Queue to access the data from the other thread (since sending GUI requests should ONLY be made from the main thread).
import threading, Queue #queue in 3.x
my_queue = Queue.Queue()
def go(*args):
my_thread = threading.Thread(target=function_that_does_stuff)
def function_that_does_stuff():
my_queue.put("Logging in...")
do_lots_of_stuff()
my_queue.put("Doing stuff #1...")
do_even_more_stuff()
my_queue.put("Success!")
Then you'll need a function that is run when the update event happens.
def OnUpdate(*args):
try:
status_text.set(my_queue.get())
except Queue.Empty:
pass
If you have control of do_lots_of_stuff and you can break it into small chunks, you can place small jobs on the event queue to do each chunk.
For example, if you're do_lots_of_stuff is reading lines from a file, create a method that reads one line and then puts a job on the event queue to call itself after a ms or two. This way the event loop continues to run, and your code does a little processing on each iteration. This is a surprisingly effective technique, though it only works if you're able to break your 'lots of stuff' into atomic chunks.
If you can't do that you'll have to either use multiple threads or multiple processes. I personally prefer the latter -- multiprocessing code is (arguably) less difficult to write and debug.

On-Demand Python Thread Start/Join Freezing Up from wxPython GUI

I'm attempting to build a very simple wxPython GUI that monitors and displays external data. There is a button that turns the monitoring on/off. When monitoring is turned on, the GUI updates a couple of wx StaticLabels with real-time data. When monitoring is turned off, the GUI idles.
The way I tried to build it was with a fairly simple Python Thread layout. When the 'Start Monitoring' button is clicked, the program spawns a thread that updates the labels with real-time information. When the 'Stop Monitoring' button is clicked, thread.join() is called, and it should stop.
The start function works and the real-time data updating works great, but when I click 'Stop', the whole program freezes. I'm running this on Windows 7 64-bit, so I get the usual "This Program has Stopped Responding" Windows dialog.
Here is the relevant code:
class MonGUI(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
...
... other code for the GUI here ...
...
# Create the thread that will update the VFO information
self.monThread = Thread(None, target=self.monThreadWork)
self.monThread.daemon = True
self.runThread = False
def monThreadWork(self):
while self.runThread:
...
... Update the StaticLabels with info
... (This part working)
...
# Turn monitoring on/off when the button is pressed.
def OnClick(self, event):
if self.isMonitoring:
self.button.SetLabel("Start Monitoring")
self.isMonitoring = False
self.runThread = False
self.monThread.join()
else:
self.button.SetLabel("Stop Monitoring")
self.isMonitoring = True
# Start the monitor thread!
self.runThread = True
self.monThread.start()
I'm sure there is a better way to do this, but I'm fairly new to GUI programming and Python threads, and this was the first thing I came up with.
So, why does clicking the button to stop the thread make the whole thing freeze up?
In wxPython, GUI operations need to take place in the main thread. At places in your code you are calling the GUI from a different thread.
The easiest solution is to use wx.CallAfter(). A line of code would look like
wx.CallAfter(self.button.SetLabel, “Start Monitoring”)
which will then call self.button.SetLabel(“Start Monitoring”) from the main thread after the function completes.
There are other ways around this as well, such as using a Python threading Queue or wx.PostEvent, but start with CallAfter because it's easiest.
Other issues are also relevant, like you can't restart the same thread, but using CallAfter will stop the crashing.
It's likely hanging on join([timeout]), which blocks the calling thread until the thread whose join() method is called terminates – either normally or through an unhandled exception – or until the optional timeout occurs.
Do you have some inner loop in your thread, or a blocking call that waits for some source of data that may never come? When I wrote a basic serial program that grabbed COM port data, it would sometimes hang because a read function in my thread would block until it got something.
I would sprinkle in a few debugging print statements to see whats happening.
Edit:
I'd also use a threading.Event() instead of a Boolean flag, e.g.:
# in the init code...
self.runThread = threading.Event()
# when starting thread...
self.runThread.set()
self.monThread.start()
# in the thread...
while self.runThread.isSet():
pass # do stuff
# killing the thread...
self.runThread.clear()
self.monThread.join()
This shouldn't make it work differently, but it's a slightly safer way to do it.
tom10 has the right idea with avoiding UI updates from the monitor thread.
Also, it is probably not a good idea to have the blocking call self.monThread.join() in your UI thread. If you want the UI to give some feedback that the monitor thread has actually ended, have monThreadWorker issue a wx.CallAfter() or wx.PostEvent() just before it closes.
Avoid anything that blocks in your UI thread, and you will avoid deadlocking the UI

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