""" Manage status of long-running operations. Ported to Python 3. """ from zope.interface import Interface, implementer from allmydata.util import observer class IMonitor(Interface): """I manage status, progress, and cancellation for long-running operations. Whoever initiates the operation should create a Monitor instance and pass it into the code that implements the operation. That code should periodically check in with the Monitor, perhaps after each major unit of work has been completed, for two purposes. The first is to inform the Monitor about progress that has been made, so that external observers can be reassured that the operation is proceeding normally. If the operation has a well-known amount of work to perform, this notification should reflect that, so that an ETA or 'percentage complete' value can be derived. The second purpose is to check to see if the operation has been cancelled. The impatient observer who no longer wants the operation to continue will inform the Monitor; the next time the operation code checks in, it should notice that the operation has been cancelled, and wrap things up. The same monitor can be passed to multiple operations, all of which may check for cancellation: this pattern may be simpler than having the original caller keep track of subtasks and cancel them individually. """ # the following methods are provided for the operation code def is_cancelled(): """Returns True if the operation has been cancelled. If True, operation code should stop creating new work, and attempt to stop any work already in progress.""" def raise_if_cancelled(): """Raise OperationCancelledError if the operation has been cancelled. Operation code that has a robust error-handling path can simply call this periodically.""" def set_status(status): """Sets the Monitor's 'status' object to an arbitrary value. Different operations will store different sorts of status information here. Operation code should use get+modify+set sequences to update this.""" def get_status(): """Return the status object. If the operation failed, this will be a Failure instance.""" def finish(status): """Call this when the operation is done, successful or not. The Monitor's lifetime is influenced by the completion of the operation it is monitoring. The Monitor's 'status' value will be set with the 'status' argument, just as if it had been passed to set_status(). This value will be used to fire the Deferreds that are returned by when_done(). Operations that fire a Deferred when they finish should trigger this with d.addBoth(monitor.finish)""" # the following methods are provided for the initiator of the operation def is_finished(): """Return a boolean, True if the operation is done (whether successful or failed), False if it is still running.""" def when_done(): """Return a Deferred that fires when the operation is complete. It will fire with the operation status, the same value as returned by get_status().""" def cancel(): """Cancel the operation as soon as possible. is_cancelled() will start returning True after this is called.""" # get_status() is useful too, but it is operation-specific class OperationCancelledError(Exception): pass @implementer(IMonitor) class Monitor(object): def __init__(self): self.cancelled = False self.finished = False self.status = None self.observer = observer.OneShotObserverList() def is_cancelled(self): return self.cancelled def raise_if_cancelled(self): if self.cancelled: raise OperationCancelledError() def is_finished(self): return self.finished def when_done(self): return self.observer.when_fired() def cancel(self): self.cancelled = True def finish(self, status_or_failure): self.set_status(status_or_failure) self.finished = True self.observer.fire(status_or_failure) return status_or_failure def get_status(self): return self.status def set_status(self, status): self.status = status