def main():
data = "world"
domain = "domain.pddl"
agents = ["Jafar", "Aladdin", "Jasmine", "Genie", "Dragon"]
worldManagement.create(data, agents, genesis=True)
too_long = 20
run = True
while run:
calculating = [
subprocess.Popen([
"metricff//Metric-FF-v2.1//ff", '-o',
os.path.join(data, domain), '-f',
os.path.join(data, agent + ".pddl"), '-s', '3', '>',
os.path.join(data, agent + ".soln")
]) for agent in agents
]
thinking_time = time.clock()
while not finished_thinking(calculating):
time.sleep(0.1)
thinking_time = time.clock()
if thinking_time > too_long:
break
translations, formalplans = questTranslation.interpret(data)
motivations = [
questClassification.classify(formalplan)
for formalplan in formalplans
]
for translation, motivation in zip(translations, motivations):
print(translation, motivation)
action = input()
if action == "exit":
run = False
else:
worldManagement.update(data, action, agents)
def main():
data = "world"
domain = "domain.pddl"
agents = ["baker","blacksmith"]
worldManagement.create(data,agents,genesis=True)
pyperplan = os.path.join("pyperplan","pyperplan.py")
too_long = 20
run = True
while run:
calculating = [subprocess.Popen(["C:\\Python34\python.exe", pyperplan, os.path.join(data,domain), os.path.join(data,agent+".pddl")]) for agent in agents]
thinking_time = time.clock()
while not finished_thinking(calculating):
time.sleep(0.1)
thinking_time = time.clock()
if thinking_time > too_long:
break
translations, formalplans = questTranslation.interpret(data)
motivations = [questClassification.classify(formalplan) for formalplan in formalplans]
for translation,motivation in zip(translations,motivations):
print(translation,motivation)
action = input()
if action == "exit":
run = False
else:
worldManagement.update(data, action, agents)
def main():
data = "world"
domain = "domain.pddl"
agents = sorted([
"baker", "king", "lumberjack", "blacksmith", "merchant", "guard",
"daughter"
])
write_domains(data, domain, agents, worldManagement.preferences)
worldManagement.create(data, agents, genesis=True)
too_long = 10000
run = True
calculating = []
opened_files = []
while run:
for agent in agents:
opened_files.append(open(os.path.join(data, agent + ".soln"), "w"))
calculating.append(
subprocess.Popen([
os.path.join("metricff", "Metric-FF-v2.1", "ff"), '-o',
os.path.join(data, agent, "domain" + agent + ".pddl"),
'-f',
os.path.join(data, agent, agent + ".pddl"), '-s', '3'
],
stdout=opened_files[-1]))
thinking_time = time.perf_counter()
print('Thinking')
while not finished_thinking(calculating):
time.sleep(0.5)
print("..", end=".")
thinking_time = time.perf_counter()
if thinking_time > too_long:
break
for opened_file in opened_files:
opened_file.close()
print("Done")
translations, _, formalplans = questTranslation.interpret(data)
print(formalplans)
motivations = [
questClassification.classify(formalplan)
for formalplan in formalplans
]
for translation, motivation in zip(translations, motivations):
print(translation, motivation)
action = input()
if action == "exit":
run = False
else:
worldManagement.update(data, action, agents)
def main():
data = "world"
domain = "domain.pddl"
#agents = sorted(["baker", "king", "lumberjack", "blacksmith", "merchant", "guard", "daughter"])
agents = sorted(["baker", "king", "lumberjack", "blacksmith", "merchant", "guard", "daughter"])
motivation_count = dict()
motivations = ["Knowledge","Comfort","Reputation","Serenity","Protection","Conquest","Wealth","Ability","Equipment"]
for motiv in motivations:
motivation_count[motiv] = 0
motivation_count["Not found"] = 0
print(motivation_count)
emptyOrComplete = 0
quest_log = open("quest_log.txt","w")
too_long = 600 # 10 minutes
run = True
#Creates all the domains and populates a list of action objects
listOfActions = write_domains(data, domain, agents, worldManagement.preferences)
#makes all the goals
worldManagement.create(data,agents, attempts_per_agent=4, genesis=True, verbose=False)
while run:
calculating = []
opened_files = []
for agent in agents:
calculating.append(questPlanning.plan_quest(agent))
#opened_files.append(open(os.path.join(data,agent+".soln"),"w"))
#calculating.append(subprocess.Popen([os.path.join("metricff","Metric-FF-v2.1","ff"), '-o', os.path.join(data,"domain"+agent+".pddl"), '-f', os.path.join(data,agent+".pddl"), '-s', '3'],stdout=opened_files[-1]))
thinking_time = time.clock()
thinking_timelast = thinking_time
print('Thinking')
while not finished_thinking(calculating):
time.sleep(0.5)
print(".", end=".")
sys.stdout.flush()
thinking_timelast += 0.5
#print(thinking_timelast)
if thinking_time + too_long < thinking_timelast:
print(thinking_time)
print("Took too long!")
for stillcalculating in calculating:
if stillcalculating.poll() == None:
stillcalculating.kill()
break
for opened_file in opened_files:
opened_file.close()
print("Done")
translations, formalplans, NPCNames = questTranslation.interpret(data)
#print(formalplans)
motivations = [questClassification.classify_fuzzy(formalplan) for formalplan in formalplans]
for formalplan,motivation,npcname,translation in zip(formalplans,motivations,NPCNames,translations):
#prints the quest
print(npcname)
print(translation,motivation)
if len(formalplan) < 1:
emptyOrComplete += 1
else:
print(" ".join(formalplan)+" "+motivation[0])
quest_log.write(" ".join(formalplan))
quest_log.write(" m:"+motivation[0])
quest_log.write("\n\n")
motivation_count[motivation[0]] += 1
"""
for formalplan in formalplans:
#print(formalplan)
if len(formalplan) < 1:
emptyOrComplete += 1
else:
print(" ".join(formalplan))
quest_log.write(" ".join(formalplan))
quest_log.write("\n\n")
"""
#Prints the motivations
#print(motivation_count)
#print(emptyOrComplete)
action = input()
if action == "exit":
run = False
else:
worldManagement.update(data, action, agents, listOfActions)
#run -= 1
#print ('This is iteration number '+ str(run))
quest_log.close()