TaskQueue.__len__() - Code Metrics - Inspection of "fix typo last_modif{,i}ed" - binux/pyspider - Measure and Improve Code Quality continuously with Scrutinizer

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by Roy

created 2016-04-20 20:07 UTC

TaskQueue.len() A

↳ Parent: TaskQueue

Complexity

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Total Lines

Duplication

Lines	0
Ratio	0 %

Metric	Value
cc	1
dl	0
loc	2
rs	10

#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
# Author: Binux<[email protected]>
#         http://binux.me
# Created on 2014-02-07 13:12:10

import time
import heapq
import logging
import threading
try:
    from UserDict import DictMixin
except ImportError:
    from collections import Mapping as DictMixin
from .token_bucket import Bucket
from six.moves import queue as Queue

logger = logging.getLogger('scheduler')

try:
    cmp
except NameError:
    cmp = lambda x, y: (x > y) - (x < y)


class InQueueTask(DictMixin):
    __slots__ = ('taskid', 'priority', 'exetime')
    __getitem__ = lambda *x: getattr(*x)
    __setitem__ = lambda *x: setattr(*x)
    __iter__ = lambda self: iter(self.__slots__)
    __len__ = lambda self: len(self.__slots__)
    keys = lambda self: self.__slots__

    def __init__(self, taskid, priority=0, exetime=0):
        self.taskid = taskid
        self.priority = priority
        self.exetime = exetime

    def __cmp__(self, other):
        if self.exetime == 0 and other.exetime == 0:
            return -cmp(self.priority, other.priority)
        else:
            return cmp(self.exetime, other.exetime)

    def __lt__(self, other):
        return self.__cmp__(other) < 0


class PriorityTaskQueue(Queue.Queue):

    '''
    TaskQueue

    Same taskid items will been merged
    '''

    def _init(self, maxsize):
        self.queue = []
        self.queue_dict = dict()

    def _qsize(self, len=len):
        return len(self.queue_dict)

    def _put(self, item, heappush=heapq.heappush):
        if item.taskid in self.queue_dict:
            task = self.queue_dict[item.taskid]
            changed = False
            if item.priority > task.priority:
                task.priority = item.priority
                changed = True
            if item.exetime < task.exetime:
                task.exetime = item.exetime
                changed = True
            if changed:
                self._resort()
        else:
            heappush(self.queue, item)
            self.queue_dict[item.taskid] = item

    def _get(self, heappop=heapq.heappop):
        while self.queue:
            item = heappop(self.queue)
            if item.taskid is None:
                continue
            self.queue_dict.pop(item.taskid, None)
            return item
        return None

    @property
    def top(self):
        while self.queue and self.queue[0].taskid is None:
            heapq.heappop(self.queue)
        if self.queue:
            return self.queue[0]
        return None

    def _resort(self):
        heapq.heapify(self.queue)

    def __contains__(self, taskid):
        return taskid in self.queue_dict

    def __getitem__(self, taskid):
        return self.queue_dict[taskid]

    def __setitem__(self, taskid, item):
        assert item.taskid == taskid
        self.put(item)

    def __delitem__(self, taskid):
        self.queue_dict.pop(taskid).taskid = None


class TaskQueue(object):

    '''
    task queue for scheduler, have a priority queue and a time queue for delayed tasks
    '''
    processing_timeout = 10 * 60

    def __init__(self, rate=0, burst=0):
        self.mutex = threading.RLock()
        self.priority_queue = PriorityTaskQueue()
        self.time_queue = PriorityTaskQueue()
        self.processing = PriorityTaskQueue()
        self.bucket = Bucket(rate=rate, burst=burst)

    @property
    def rate(self):
        return self.bucket.rate

    @rate.setter
    def rate(self, value):
        self.bucket.rate = value

    @property
    def burst(self):
        return self.burst.burst

    @burst.setter
    def burst(self, value):
        self.bucket.burst = value

    def check_update(self):
        '''
        Check time queue and processing queue

        put tasks to priority queue when execute time arrived or process timeout
        '''
        self._check_time_queue()
        self._check_processing()

    def _check_time_queue(self):

        now = time.time()
        self.mutex.acquire()
        while self.time_queue.qsize() and self.time_queue.top and self.time_queue.top.exetime < now:
            task = self.time_queue.get_nowait()
            task.exetime = 0
            self.priority_queue.put(task)
        self.mutex.release()

    def _check_processing(self):

        now = time.time()
        self.mutex.acquire()
        while self.processing.qsize() and self.processing.top and self.processing.top.exetime < now:
            task = self.processing.get_nowait()
            if task.taskid is None:
                continue
            task.exetime = 0
            self.priority_queue.put(task)
            logger.info("processing: retry %s", task.taskid)
        self.mutex.release()

    def put(self, taskid, priority=0, exetime=0):
        '''Put a task into task queue'''
        now = time.time()
        task = InQueueTask(taskid, priority, exetime)
        self.mutex.acquire()
        if taskid in self.priority_queue:
            self.priority_queue.put(task)
        elif taskid in self.time_queue:
            self.time_queue.put(task)
        elif taskid in self.processing and self.processing[taskid].taskid:
            # force update a processing task is not allowed as there are so many
            # problems may happen
            pass
        else:
            if exetime and exetime > now:
                self.time_queue.put(task)
            else:
                self.priority_queue.put(task)
        self.mutex.release()

    def get(self):
        '''Get a task from queue when bucket available'''
        if self.bucket.get() < 1:
            return None
        now = time.time()
        self.mutex.acquire()
        try:
            task = self.priority_queue.get_nowait()
            self.bucket.desc()
        except Queue.Empty:
            self.mutex.release()
            return None
        task.exetime = now + self.processing_timeout
        self.processing.put(task)
        self.mutex.release()
        return task.taskid

    def done(self, taskid):
        '''Mark task done'''
        if taskid in self.processing:
            self.mutex.acquire()
            if taskid in self.processing:
                del self.processing[taskid]
            self.mutex.release()
            return True
        return False

    def size(self):
        return self.priority_queue.qsize() + self.time_queue.qsize() + self.processing.qsize()

    def __len__(self):
        return self.size()

    def __contains__(self, taskid):
        if taskid in self.priority_queue or taskid in self.time_queue:
            return True
        if taskid in self.processing and self.processing[taskid].taskid:
            return True
        return False


if __name__ == '__main__':
    task_queue = TaskQueue()
    task_queue.processing_timeout = 0.1
    task_queue.put('a3', 3, time.time() + 0.1)
    task_queue.put('a1', 1)
    task_queue.put('a2', 2)
    assert task_queue.get() == 'a2'
    time.sleep(0.1)
    task_queue._check_time_queue()
    assert task_queue.get() == 'a3'
    assert task_queue.get() == 'a1'
    task_queue._check_processing()
    assert task_queue.get() == 'a2'
    assert len(task_queue) == 0


1		#!/usr/bin/env python
2		# -- encoding: utf-8 --
3		# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
4		# Author: Binux<[email protected]>
5		# http://binux.me
6		# Created on 2014-02-07 13:12:10
7
8		import time
9		import heapq
10		import logging
11		import threading
12		try:
13		from UserDict import DictMixin
14		except ImportError:
15		from collections import Mapping as DictMixin
16		from .token_bucket import Bucket
17		from six.moves import queue as Queue
18
19		logger = logging.getLogger('scheduler')
20
21		try:
22		cmp
23		except NameError:
24		cmp = lambda x, y: (x > y) - (x < y)
25
26
27		class InQueueTask(DictMixin):
28		__slots__ = ('taskid', 'priority', 'exetime')
29		__getitem__ = lambda x: getattr(x)
30		__setitem__ = lambda x: setattr(x)
31		__iter__ = lambda self: iter(self.__slots__)
32		__len__ = lambda self: len(self.__slots__)
33		keys = lambda self: self.__slots__
34
35		def __init__(self, taskid, priority=0, exetime=0):
36		self.taskid = taskid
37		self.priority = priority
38		self.exetime = exetime
39
40		def __cmp__(self, other):
41		if self.exetime == 0 and other.exetime == 0:
42		return -cmp(self.priority, other.priority)
43		else:
44		return cmp(self.exetime, other.exetime)
45
46		def __lt__(self, other):
47		return self.__cmp__(other) < 0
48
49
50		class PriorityTaskQueue(Queue.Queue):
51
52		'''
53		TaskQueue
54
55		Same taskid items will been merged
56		'''
57
58		def _init(self, maxsize):
59		self.queue = []
60		self.queue_dict = dict()
61
62		def _qsize(self, len=len):
63		return len(self.queue_dict)
64
65		def _put(self, item, heappush=heapq.heappush):
66		if item.taskid in self.queue_dict:
67		task = self.queue_dict[item.taskid]
68		changed = False
69		if item.priority > task.priority:
70		task.priority = item.priority
71		changed = True
72		if item.exetime < task.exetime:
73		task.exetime = item.exetime
74		changed = True
75		if changed:
76		self._resort()
77		else:
78		heappush(self.queue, item)
79		self.queue_dict[item.taskid] = item
80
81		def _get(self, heappop=heapq.heappop):
82		while self.queue:
83		item = heappop(self.queue)
84		if item.taskid is None:
85		continue
86		self.queue_dict.pop(item.taskid, None)
87		return item
88		return None
89
90		@property
91		def top(self):
92		while self.queue and self.queue[0].taskid is None:
93		heapq.heappop(self.queue)
94		if self.queue:
95		return self.queue[0]
96		return None
97
98		def _resort(self):
99		heapq.heapify(self.queue)
100
101		def __contains__(self, taskid):
102		return taskid in self.queue_dict
103
104		def __getitem__(self, taskid):
105		return self.queue_dict[taskid]
106
107		def __setitem__(self, taskid, item):
108		assert item.taskid == taskid
109		self.put(item)
110
111		def __delitem__(self, taskid):
112		self.queue_dict.pop(taskid).taskid = None
113
114
115		class TaskQueue(object):
116
117		'''
118		task queue for scheduler, have a priority queue and a time queue for delayed tasks
119		'''
120		processing_timeout = 10 * 60
121
122		def __init__(self, rate=0, burst=0):
123		self.mutex = threading.RLock()
124		self.priority_queue = PriorityTaskQueue()
125		self.time_queue = PriorityTaskQueue()
126		self.processing = PriorityTaskQueue()
127		self.bucket = Bucket(rate=rate, burst=burst)
128
129		@property
130		def rate(self):
131		return self.bucket.rate
132
133		@rate.setter
134		def rate(self, value):
135		self.bucket.rate = value
136
137		@property
138		def burst(self):
139		return self.burst.burst
140
141		@burst.setter
142		def burst(self, value):
143		self.bucket.burst = value
144
145		def check_update(self):
146		'''
147		Check time queue and processing queue
148
149		put tasks to priority queue when execute time arrived or process timeout
150		'''
151		self._check_time_queue()
152		self._check_processing()
153
154	View Code Duplication	def _check_time_queue(self):
		0 ignored issues – show Duplication introduced 2016-04-15 06:44 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
155		now = time.time()
156		self.mutex.acquire()
157		while self.time_queue.qsize() and self.time_queue.top and self.time_queue.top.exetime < now:
158		task = self.time_queue.get_nowait()
159		task.exetime = 0
160		self.priority_queue.put(task)
161		self.mutex.release()
162
163	View Code Duplication	def _check_processing(self):
		0 ignored issues – show Duplication introduced 2016-04-15 06:44 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
164		now = time.time()
165		self.mutex.acquire()
166		while self.processing.qsize() and self.processing.top and self.processing.top.exetime < now:
167		task = self.processing.get_nowait()
168		if task.taskid is None:
169		continue
170		task.exetime = 0
171		self.priority_queue.put(task)
172		logger.info("processing: retry %s", task.taskid)
173		self.mutex.release()
174
175		def put(self, taskid, priority=0, exetime=0):
176		'''Put a task into task queue'''
177		now = time.time()
178		task = InQueueTask(taskid, priority, exetime)
179		self.mutex.acquire()
180		if taskid in self.priority_queue:
181		self.priority_queue.put(task)
182		elif taskid in self.time_queue:
183		self.time_queue.put(task)
184		elif taskid in self.processing and self.processing[taskid].taskid:
185		# force update a processing task is not allowed as there are so many
186		# problems may happen
187		pass
188		else:
189		if exetime and exetime > now:
190		self.time_queue.put(task)
191		else:
192		self.priority_queue.put(task)
193		self.mutex.release()
194
195		def get(self):
196		'''Get a task from queue when bucket available'''
197		if self.bucket.get() < 1:
198		return None
199		now = time.time()
200		self.mutex.acquire()
201		try:
202		task = self.priority_queue.get_nowait()
203		self.bucket.desc()
204		except Queue.Empty:
205		self.mutex.release()
206		return None
207		task.exetime = now + self.processing_timeout
208		self.processing.put(task)
209		self.mutex.release()
210		return task.taskid
211
212		def done(self, taskid):
213		'''Mark task done'''
214		if taskid in self.processing:
215		self.mutex.acquire()
216		if taskid in self.processing:
217		del self.processing[taskid]
218		self.mutex.release()
219		return True
220		return False
221
222		def size(self):
223		return self.priority_queue.qsize() + self.time_queue.qsize() + self.processing.qsize()
224
225		def __len__(self):
226		return self.size()
227
228		def __contains__(self, taskid):
229		if taskid in self.priority_queue or taskid in self.time_queue:
230		return True
231		if taskid in self.processing and self.processing[taskid].taskid:
232		return True
233		return False
234
235
236		if __name__ == '__main__':
237		task_queue = TaskQueue()
238		task_queue.processing_timeout = 0.1
239		task_queue.put('a3', 3, time.time() + 0.1)
240		task_queue.put('a1', 1)
241		task_queue.put('a2', 2)
242		assert task_queue.get() == 'a2'
243		time.sleep(0.1)
244		task_queue._check_time_queue()
245		assert task_queue.get() == 'a3'
246		assert task_queue.get() == 'a1'
247		task_queue._check_processing()
248		assert task_queue.get() == 'a2'
249		assert len(task_queue) == 0
250

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