80 lines
No EOL
2.1 KiB
Python
80 lines
No EOL
2.1 KiB
Python
import sys
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from abc import abstractmethod
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from enum import IntEnum
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from typing import Optional
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from PyQt5.QtCore import QRunnable, QObject, pyqtSlot, pyqtSignal
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class Worker(QRunnable):
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"""
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Base QRunnable class.
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This class provides a base for QRunnables with signals that are automatically deleted.
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To use this class you have to assign the signals object of your concrete implementation
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to the `Worker.signals` attribute and implement `Worker.run_real()`
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"""
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def __init__(self):
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sys.excepthook = sys.__excepthook__
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super(Worker, self).__init__()
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self.setAutoDelete(True)
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self.__signals: Optional[QObject] = None
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@property
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def signals(self) -> QObject:
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if self.__signals is None:
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raise NotImplementedError
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return self.__signals
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@signals.setter
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def signals(self, obj: QObject):
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self.__signals = obj
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@abstractmethod
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def run_real(self):
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pass
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@pyqtSlot()
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def run(self):
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self.run_real()
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self.signals.deleteLater()
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class QueueWorker(Worker):
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"""
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Base queueable worker class
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This class is a specialization of the `Worker` class. It provides feedback signals to know
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if a worker has started or finished.
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To use this class you have to assign the signals object of your concrete implementation
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to the `QueueWorker.signals` attribute, implement `QueueWorker.run_real()` and `QueueWorker.worker_info()`
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"""
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class State(IntEnum):
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UNDEFINED = 0
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QUEUED = 1
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ACTIVE = 2
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class Signals(QObject):
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started = pyqtSignal()
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finished = pyqtSignal()
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def __init__(self):
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super(QueueWorker, self).__init__()
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self.feedback = QueueWorker.Signals()
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self.state = QueueWorker.State.QUEUED
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@pyqtSlot()
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def run(self):
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self.state = QueueWorker.State.ACTIVE
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self.feedback.started.emit()
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super(QueueWorker, self).run()
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self.feedback.finished.emit()
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self.feedback.deleteLater()
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@abstractmethod
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def worker_info(self):
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pass |