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# -*- coding: utf-8 -*-import simpyimport numpy# 物件處理服務紀錄 historyService = {} # 服務站/機具數量/服務時間長度class ServiceStation(object): def __init__(self, env, num_machines, service_time): self.env = env self.machine = simpy.Resource(env, num_machines) self.service_time = service_time def __process__(self, weight): return weight * self.service_time def service(self, nameItem): # 該物件處理服務紀錄 record = historyService[nameItem] # 機具處理時間 yield self.env.timeout(self.__process__(record['weight'])) # 隨機產生處理結果 record['result'] = numpy.random.randint(50, 99) # 模擬處理物件class SimItems: def __init__(self, env, params): self.env = env self.params = params # 物件請求機具處理 def ProcessItem(self, nameItem, serviceStation): # 該物件處理服務紀錄 record = historyService[nameItem] # 物件到達時間 record['arrival'] = self.env.now # 物件請求機具資源成功 with serviceStation.machine.request() as request: yield request # 物件開始處理時間 record['start'] = self.env.now # 觸發機具服務 yield env.process(serviceStation.service(nameItem)) # 物件處理結束時間 record['end'] = self.env.now def __NewItem__(self, nameItem): if nameItem not in historyService: historyService[nameItem] = { 'weight': numpy.random.randint(5) + 1, 'arrival': 0.0, 'start': 0.0, 'end': 0.0, 'result': 0 } def Setup(self): # 備妥機具 serviceStation = ServiceStation( self.env, self.params['NUM_MACHINES'], self.params['PROCESS_TIME']) # 期初待處理物件 id_Item = 0 for id_Item in range(0, self.params['NUM_INITIAL_ITEMS']): name_Item = '%03d' % (id_Item) self.__NewItem__(name_Item) # 觸發機具處理新物件 env.process(self.ProcessItem(name_Item, serviceStation)) while True: # 物件等候處理所需之間隔時間 yield env.timeout( numpy.random.randint( self.params['NEW_ITEM_INTERVAL'] - 2, self.params['NEW_ITEM_INTERVAL'] + 2)) # 待處理之新物件 id_Item += 1 name_Item = '%03d' % id_Item self.__NewItem__(name_Item) # 觸發機具處理新物件 env.process(self.ProcessItem(name_Item, serviceStation)) def ShowHistory(self): # 列舉所有處理物件 for name_item in sorted(historyService.keys()): # 該物件處理服務紀錄 record = historyService[name_item] print u'物件-%s\t權重=%2d' % (name_item, record['weight']), print u'\t到達=%4.0f\t開始=%4.0f' % ( record['arrival'], record['start'] ), if record['result'] == 0: print u'\t服務終了' else: print u'\t結束=%4.0f\t已處理=%3d%%' % ( record['end'], record['result']) def ShowCSV(self): print "Item,Weight,Arrival,Start,End,Result" # 列舉所有處理物件 for name_item in sorted(historyService.keys()): # 該物件處理服務紀錄 record = historyService[name_item] print u'物件-%s,%d,' % (name_item, record['weight']), print u'%.0f,%.0f,' % ( record['arrival'], record['start'] ), print u'%.0f,%.2f' % ( record['end'], record['result']*0.01) # 主程式if __name__ == '__main__': # 重設亂數因子 numpy.random.seed(numpy.random.randint(50) + 1) # 設置模擬程序參數 params = { 'NUM_INITIAL_ITEMS': numpy.random.randint(8) + 1, 'NUM_MACHINES': numpy.random.randint(4) + 1, 'PROCESS_TIME': numpy.random.randint(10) + 1, 'NEW_ITEM_INTERVAL': numpy.random.randint(10) + 4, 'SIMULATION_TIME': 500 } # 模擬環境 env = simpy.Environment() # 模擬程序物件 simItems = SimItems(env, params) # 設置模擬程序 env.process(simItems.Setup()) # 啟動模擬 env.run(until=params['SIMULATION_TIME']) # 輸出模擬結果 simItems.ShowHistory()