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Direktori : /lib/calibre/calibre/gui2/ |
Current File : //lib/calibre/calibre/gui2/threaded_jobs.py |
#!/usr/bin/env python3 __license__ = 'GPL v3' __copyright__ = '2011, Kovid Goyal <kovid@kovidgoyal.net>' __docformat__ = 'restructuredtext en' import os, time, tempfile, json from threading import Thread, RLock, Event from calibre.utils.ipc.job import BaseJob from calibre.utils.logging import GUILog from calibre.ptempfile import base_dir from polyglot.queue import Queue class ThreadedJob(BaseJob): def __init__(self, type_, description, func, args, kwargs, callback, max_concurrent_count=1, killable=True, log=None): ''' A job that is run in its own thread in the calibre main process :param type_: The type of this job (a string). The type is used in conjunction with max_concurrent_count to prevent too many jobs of the same type from running :param description: A user viewable job description :func: The function that actually does the work. This function *must* accept at least three keyword arguments: abort, log and notifications. abort is An Event object. func should periodically check abort.is_set() and if it is True, it should stop processing as soon as possible. notifications is a Queue. func should put progress notifications into it in the form of a tuple (frac, msg). frac is a number between 0 and 1 indicating progress and msg is a string describing the progress. log is a Log object which func should use for all debugging output. func should raise an Exception to indicate failure. This exception is stored in job.exception and can thus be used to pass arbitrary information to callback. :param args,kwargs: These are passed to func when it is called :param callback: A callable that is called on completion of this job. Note that it is not called if the user kills the job. Check job.failed to see if the job succeeded or not. And use job.log to get the job log. :param killable: If False the GUI won't let the user kill this job :param log: Must be a subclass of GUILog or None. If None a default GUILog is created. ''' BaseJob.__init__(self, description) self.type = type_ self.max_concurrent_count = max_concurrent_count self.killable = killable self.callback = callback self.abort = Event() self.exception = None kwargs['notifications'] = self.notifications kwargs['abort'] = self.abort self.log = GUILog() if log is None else log kwargs['log'] = self.log self.func, self.args, self.kwargs = func, args, kwargs self.consolidated_log = None def start_work(self): self.start_time = time.time() self.log('Starting job:', self.description) try: self.result = self.func(*self.args, **self.kwargs) except Exception as e: self.exception = e self.failed = True self.log.exception('Job: "%s" failed with error:'%self.description) self.log.debug('Called with args:', self.args, self.kwargs) self.duration = time.time() - self.start_time try: self.callback(self) except: import traceback traceback.print_exc() self._cleanup() def _cleanup(self): try: self.consolidate_log() except: if self.log is not None: self.log.exception('Log consolidation failed') # No need to keep references to these around anymore self.func = self.args = self.kwargs = self.notifications = None # We can't delete self.callback as it might be a Dispatch object and if # it is garbage collected it won't work def kill(self): if self.start_time is None: self.start_time = time.time() self.duration = 0.0001 else: self.duration = time.time() - self.start_time self.abort.set() self.log('Aborted job:', self.description) self.killed = True self.failed = True self._cleanup() def consolidate_log(self): logs = [self.log.html, self.log.plain_text] bdir = base_dir() log_dir = os.path.join(bdir, 'threaded_job_logs') if not os.path.exists(log_dir): os.makedirs(log_dir) fd, path = tempfile.mkstemp(suffix='.json', prefix='log-', dir=log_dir) data = json.dumps(logs, ensure_ascii=False, indent=2) if not isinstance(data, bytes): data = data.encode('utf-8') with os.fdopen(fd, 'wb') as f: f.write(data) self.consolidated_log = path self.log = None def read_consolidated_log(self): with open(self.consolidated_log, 'rb') as f: return json.loads(f.read().decode('utf-8')) @property def details(self): if self.consolidated_log is None: return self.log.plain_text return self.read_consolidated_log()[1] @property def html_details(self): if self.consolidated_log is None: return self.log.html return self.read_consolidated_log()[0] class ThreadedJobWorker(Thread): def __init__(self, job): Thread.__init__(self) self.daemon = True self.job = job def run(self): try: self.job.start_work() except: import traceback from calibre import prints prints('Job had unhandled exception:', self.job.description) traceback.print_exc() class ThreadedJobServer(Thread): def __init__(self): Thread.__init__(self) self.daemon = True self.lock = RLock() self.queued_jobs = [] self.running_jobs = set() self.changed_jobs = Queue() self.keep_going = True def close(self): self.keep_going = False def add_job(self, job): with self.lock: self.queued_jobs.append(job) if not self.is_alive(): self.start() def run(self): while self.keep_going: try: self.run_once() except: import traceback traceback.print_exc() time.sleep(0.1) def run_once(self): with self.lock: remove = set() for worker in self.running_jobs: if worker.is_alive(): # Get progress notifications if worker.job.consume_notifications(): self.changed_jobs.put(worker.job) else: remove.add(worker) self.changed_jobs.put(worker.job) for worker in remove: self.running_jobs.remove(worker) jobs = self.get_startable_jobs() for job in jobs: w = ThreadedJobWorker(job) w.start() self.running_jobs.add(w) self.changed_jobs.put(job) self.queued_jobs.remove(job) def kill_job(self, job): with self.lock: if job in self.queued_jobs: self.queued_jobs.remove(job) elif job in self.running_jobs: self.running_jobs.remove(job) job.kill() self.changed_jobs.put(job) def running_jobs_of_type(self, type_): return len([w for w in self.running_jobs if w.job.type == type_]) def get_startable_jobs(self): queued_types = [] ans = [] for job in self.queued_jobs: num = self.running_jobs_of_type(job.type) num += queued_types.count(job.type) if num < job.max_concurrent_count: queued_types.append(job.type) ans.append(job) return ans