I'm trying to create a producer/consumer simulation where the consumer processes items in batches. The problem is that the Store.get() function removes items from the Store as soon as it is called, but I need it to wait until I've called yield:
import simpy
def producer(env, Q):
item = 0
while True:
yield Q.put(item)
print('Submit item:%d'%item)
item += 1
def consumer(env, Q):
while True:
yield env.timeout(20)
events = [Q.get() for i in range(4)]
items = yield env.all_of(events)
print([items for items in items.values()])
env = simpy.Environment()
maxQD = 2
Q = simpy.Store(env, capacity=maxQD)
env.process(producer(env, Q))
env.process(consumer(env, Q))
env.run(until=500)
Which produces the following output:
Submit item:0
Submit item:1
Submit item:2
Submit item:3
Submit item:4
[0, 1, 2, 3]
Submit item:5
Submit item:6
Submit item:7
Submit item:8
[4, 5, 6, 7]
Submit item:9
Submit item:10
Submit item:11
Submit item:12
[8, 9, 10, 11]
...
With maxQD set to 2, I would have expected just:
Submit item:0
Submit item:1
with the consumer blocking until it successfully gets 4 items, and the producer unable to add more than 2.
You can sort of fix this problem by checking len(Q.items):
import simpy
def producer(env, Q):
item = 0
while True:
yield Q.put(item)
print('Submit item:%d'%item)
item += 1
def consumer(env, Q):
while True:
yield env.timeout(20)
if len(Q.items) >= 4:
events = [Q.get() for i in range(4)]
items = yield env.all_of(events)
print([items for items in items.values()])
env = simpy.Environment()
maxQD = 4
Q = simpy.Store(env, capacity=maxQD)
env.process(producer(env, Q))
env.process(consumer(env, Q))
env.run(until=500)
But you still get the frustrating behavior that the get() removes the items before yielding which makes it look like 5 items were added to the Q (note maxQD changed to 4):
Submit item:0
Submit item:1
Submit item:2
Submit item:3
Submit item:4
[0, 1, 2, 3]
Solved by subclassing Store:
class BatchGet(simpy.resources.base.Get):
def __init__(self, resource, count):
self.count = count
super().__init__(resource)
class BatchStore(simpy.resources.store.Store):
get = simpy.core.BoundClass(BatchGet)
def _do_put(self, event):
if len(self.items) + len(event.item) <= self._capacity:
self.items.extend(event.item)
event.succeed()
def _do_get(self, event):
count = event.count
if len(self.items) >= count:
ret = self.items[:count]
self.items = self.items[count:]
event.succeed(ret)
Puts must take a list (since it's a batch of items), and gets return a list.
来源:https://stackoverflow.com/questions/38150988/simpy-store-batch-processing