def hireIfProfit(self):
# workers do not hire
if self.agType == "workers":
return
if self.profit <= common.hiringThreshold:
return
tmpList = []
for ag in self.agentList:
if ag != self:
if ag.agType == "workers" and not ag.employed:
tmpList.append(ag)
if len(tmpList) > 0:
hired = tmpList[randint(0, len(tmpList) - 1)]
hired.employed = True
gvf.colors[hired] = "Aqua"
gvf.createEdge(self, hired) # self, here, is the hiring firm
# count edges (workers) of the firm, after hiring (the values is
# recorded, but not used directly)
self.numOfWorkers = gvf.nx.degree(common.g, nbunch=self)
# nbunch : iterable container, optional (default=all nodes)
# A container of nodes. The container will be iterated through once.
print("entrepreneur", self.number, "has", self.numOfWorkers,
"edge/s after hiring")
def searchForSector(self):
if self.agType != "recipes":
return
if not self.canMove:
return
step = self.content[0] # first step to be done
res = gvf.findNodesFromSector(step)
if common.verbose:
if res == []:
print(
"recipe %d cannot find a factory for the step of type %d" %
(self.number, step))
else:
if common.verbose:
print(
"recipe %d found %d factory/ies for the step of type %d" %
(self.number, len(res), step))
# for debug only!!!!!!!!!!!!!
# if res!=[]:
# for aNode in res: print "searchForSector:", aNode.number, aNode.sector
# else: print "searchForSector: no node for sector", step
if res != []:
random.shuffle(res)
if common.verbose:
print("recipe %d moving to factory %d" %
(self.number, res[0].number))
# future development: here res[0] simply contain a randomly chosen unit
# (if in res we have more than a unique possibility)
# it is possible to put here intelligence (as the effect of the)
# action of the recipe, searching for data such as production costs of
# the factories, their waiting lists, their quality standards, their
# owners, etc.
# create an edge from self.factoryInWhichRecipeIs to res[0]
# or upgrading the weight of the link
if self.factoryInWhichRecipeIs is not None:
gvf.createEdge(self.factoryInWhichRecipeIs, res[0])
self.factoryInWhichRecipeIs = res[0]
# self here is the calling recipe
res[0].addToRecipeWaitingList(self)
def hireFireWithProduction(self):
# workers do not hire/fire
if self.agType == "workers":
return
# to decide to hire/fire we need to know the number of employees
# the value is calcutated on the fly, to be sure of accounting for
# modifications coming from outside
# (nbunch : iterable container, optional (default=all nodes)
# A container of nodes. The container will be iterated through once.)
laborForce0 = gvf.nx.degree(common.g, nbunch=self) + \
1 # +1 to account for the entrepreneur herself
# required labor force
laborForceRequired = int(self.plannedProduction /
common.laborProductivity)
#???????????????????
# countUnemployed=0
# for ag in self.agentList:
# if not ag.employed: countUnemployed+=1
# print "I'm entrepreneur %d laborForce %d and required %d unemployed are %d" %\
#(self.number, laborForce0, laborForceRequired, countUnemployed)
# no action
if laborForce0 == laborForceRequired:
return
# hire
if laborForce0 < laborForceRequired:
n = laborForceRequired - laborForce0
tmpList = []
for ag in self.agentList:
if ag != self:
if ag.agType == "workers" and not ag.employed:
tmpList.append(ag)
if len(tmpList) > 0:
k = min(n, len(tmpList))
shuffle(tmpList)
for i in range(k):
hired = tmpList[i]
hired.employed = True
gvf.colors[hired] = "Aqua"
gvf.createEdge(self, hired)
# self, here, is the hiring firm
# count edges (workers) of the firm, after hiring (the values is
# recorded, but not used directly)
self.numOfWorkers = gvf.nx.degree(common.g, nbunch=self)
# nbunch : iterable container, optional (default=all nodes)
# A container of nodes. The container will be iterated through
# once.
print("entrepreneur", self.number,
"is applying prod. plan and has", self.numOfWorkers,
"edge/s after hiring")
# fire
if laborForce0 > laborForceRequired:
n = laborForce0 - laborForceRequired
# the list of the employees of the firm
entrepreneurWorkers = gvf.nx.neighbors(common.g, self)
# print "entrepreneur", self.number, "could fire",
# entrepreneurWorkers
# the list returnes by nx is unstable as order
entrepreneurWorkers = mySort(entrepreneurWorkers)
if len(entrepreneurWorkers) > 0: # has to be, but ...
shuffle(entrepreneurWorkers)
for i in range(n):
fired = entrepreneurWorkers[i]
gvf.colors[fired] = "OrangeRed"
fired.employed = False
# common.g_edge_labels.pop((self,fired)) no labels in edges
common.g.remove_edge(self, fired)
# count edges (workers) after firing (recorded, but not used
# directly)
self.numOfWorkers = gvf.nx.degree(common.g, nbunch=self)
# nbunch : iterable container, optional (default=all nodes)
# A container of nodes. The container will be iterated through
# once.
print("entrepreneur", self.number,
"is applying prod. plan and has", self.numOfWorkers,
"edge/s after firing")