def findShortestPath(from_input, to_input):
prolog = Prolog()
loadDatabase(prolog)
prolog_query = "path(" + from_input + "," + to_input + ",PATH,COST)"
shortest_path_result = list(prolog.query(prolog_query))
path_list = []
shortest_path_lst = shortest_path_result
if len(shortest_path_lst) <= 0:
return False
for i in range(len(shortest_path_lst[0]['PATH'])):
path_list.append(str(shortest_path_result[0]['PATH'][i]))
train_query = "theTrainIs(" + str(path_list) + ",TRAIN)"
train_result = list(prolog.query(train_query))
train_list = []
for i in range(len(train_result[0]['TRAIN'])):
train_list.append(str(train_result[0]['TRAIN'][i]))
path_type_list = []
include_walk_query = "includeWalk(" + str(train_list) + ",PATH_TYPE)"
include_walk_result = list(prolog.query(include_walk_query))
for i in range(len(include_walk_result[0]['PATH_TYPE'])):
path_type_list.append(str(include_walk_result[0]['PATH_TYPE'][i]))
print("Train: " + str(train_list))
print ""
print("Train+Walk: " + str(path_type_list))
print ""
print("TrainLen: " + str(len(train_list)) + "->" +
str(len(path_type_list)))
return path_list, shortest_path_result[0]['COST']
def _query(pl=None, query=None, debug=False):
if not query:
return
if not pl:
pl = Prolog()
pl.consult('init.pl')
if isinstance(query[0], str):
query = [query]
query_list = []
var_list = []
for pred, args in query:
arg_list = []
for arg in args:
if (isinstance(arg, str) and arg[:3] == '_v:'):
# and arg[0] == arg[0].upper()
var = arg[3:]
var_list += [var]
arg_list += [var]
elif (isinstance(arg, str) and '^^' in arg):
arg_list += [arg]
elif (isinstance(arg, list)):
arg_list += [f"{arg}"]
else:
arg_list += [f"'{arg}'"]
arg_str = ','.join(arg_list)
query_list += [pred + '(' + arg_str + ')']
query_str = ','.join(query_list)
if debug:
print(query_str, end="\n\n")
return var_list, pl.query(query_str)
def __init__( self, director, dificuldade ):
super( GameLayer, self ).__init__()
self.director = director
self.tabuleiro = []
self.offsetX = director.get_window_size()[0]/3
self.offsetY = director.get_window_size()[1]/8
lado = 45
self.lado = lado
self.dificuldade = dificuldade
self.cpu = False
self.prolog = Prolog()
self.prolog.consult("reversi.pl")
self.tabMatriz = list(self.prolog.query("novotab(X)"))[0]['X']
self.matriz = deepcopy(self.tabMatriz)
pyglet.font.add_directory('.')
self.jogadorAtivo = Label("Jogador: Player1", font_name = 'Blood Of Dracula', font_size = 22,
x = 20, y = 350)
self.add(self.jogadorAtivo)
self.dif = Label("Dificuldade: " + self.dificuldade, font_name = 'Blood Of Dracula', font_size = 16,
x = 20, y = 300)
self.add(self.dif)
self.p = list(self.prolog.query("winner(" + str(self.tabMatriz) + ", P0, P1, P2)"))[0]
self.p1 = Label("P1: " + str(self.p['P1']) + self.dificuldade, font_name = 'Bloodsuckers', font_size = 26,
x = 20, y = 200)
self.p2 = Label("P1: " + str(self.p['P2']) + self.dificuldade, font_name = 'Bloodsuckers', font_size = 26,
x = 20, y = 150)
self.add(self.p1)
self.add(self.p2)
#Batch que vai segurar todos os pecas
self.spriteBatch = BatchNode()
self.add(self.spriteBatch)
size = 8*self.lado
for i in range(8):
l = []
for j in range(8):
peca = Peca(self.tabMatriz[i][j], (j*lado + lado/2, size - (i*lado + lado/2)))
l.append(peca)
self.spriteBatch.add(peca)
self.tabuleiro.append(l)
self.spriteBatch.add(Sprite("tabuleiro.png",
(self.tabuleiro[4][4].position[0] - lado/2, self.tabuleiro[4][4].position[1] + lado/2)
, 0, 1, 32), 0)
self.spriteBatch.position = (self.offsetX, self.offsetY)
self.spriteBatch.scale = 1.0
self.hud = GameHud()
self.add(self.hud)
self.schedule(self.gameLoop)
def main():
def notify(t):
print "move disk from %s pole to %s pole." % tuple(t)
notify.arity = 1
prolog = Prolog()
registerForeign(notify)
prolog.consult("hanoi.pl")
list(prolog.query("hanoi(%d)" % N))
def prologInitialization(self):
print "@Agent: Prolog initialization",
self.prolog = Prolog()
self.prolog.consult("pl/agent.pl")
if (self.logToFile):
self.prolog.query("redirect_output('logs/%s-kb%d.xml')" %
(self.username, self.currentLoop)).next()
if (self.verbose):
self.prolog.query("assert(verbose)").next()
print "done"
def main(): #digunakan untuk membuat fungsi main()
N = 3 #pendeklarasian nilai N adalah 3
INTERACTIVITY = True
prolog = Prolog()
tower = Tower(N, INTERACTIVITY)
notifier = Notifier(tower.move)
registerForeign(notifier.notify)
prolog.consult("prolog_file/hanoi.pl")
list(prolog.query("hanoi(%d)" % N))
def main():
N = 3
INTERACTIVITY = True
prolog = Prolog()
tower = Tower(N, INTERACTIVITY)
notifier = Notifier(tower.move)
registerForeign(notifier.notify)
prolog.consult("hanoi.pl")
list(prolog.query("hanoi(%d)" % N))
def main():
N = 3
INTERACTIVITY = True
prolog = Prolog()
tower = Tower(N, INTERACTIVITY)
notifier = Notifier(tower.move)
registerForeign(notifier.notify)
prolog.consult("hanoi.pl")
list(prolog.query("hanoi(%d)" % N))
def imprimirRest():
p = Prolog()
p.consult('rest.pl')
resultados = []
for result in p.query("restaurante(A,_,_,_,_)"):
r = result["A"]
resultados.append(str(r))
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def restaurantesXtipo(tipocomida):
p = Prolog()
p.consult("rest.pl")
resultados = []
for restaurante in p.query("restaurantesXtipo(A," + tipocomida + ")"):
r = restaurante["A"]
resultados.append(str(r))
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def imprimirPlato():
p = Prolog()
p.consult("plati.pl")
resultados = []
for plato in p.query("platillo(_,A,_,_,_)"):
r = plato["A"]
resultados.append(str(r))
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def __init__(self):
# http://nullege.com/codes/search/pyswip.prolog.Prolog.query
self.__root = ''
self.__on_prolog = 'prolog'
self.__of_prolog = 'halt.'
# Preguntas
self.__a_animal = 'animal(X).'
self.__prolog = Prolog()
self._probando()
def buscaRestaurantesXPais(pais):
p = Prolog()
p.consult("plati.pl")
resultados = []
for restaurante in p.query("buscaRestXPais(Nombre," + pais + ")"):
r = restaurante["Nombre"]
resultados.append(str(r))
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def main():
prolog = Prolog()
prolog.consult("coins.pl")
count = int(input("How many coins (default: 100)? ") or 100)
total = int(input("What should be the total (default: 500)? ") or 500)
for i, soln in enumerate(prolog.query("coins(S, %d, %d)." % (count,total))):
S = zip(soln["S"], [1, 5, 10, 50, 100])
print(i, end=" ")
for c, v in S:
print("%dx%d" % (c,v), end=" ")
print()
list(prolog.query("coins(S, %d, %d)." % (count,total)))
def main():
prolog = Prolog()
prolog.consult("puzzle1.pl")
for soln in prolog.query("solve(B)."):
#B = eval(soln["B"])
B = soln["B"]
# [NW,N,NE,W,E,SW,S,SE]
print "%d %d %d" % tuple(B[:3])
print "%d %d" % tuple(B[3:5])
print "%d %d %d" % tuple(B[5:])
cont = raw_input("Press 'n' to finish: ")
if cont.lower() == "n": break
def platillosXrestIngrediente(restaurante, ingrediente):
p = Prolog()
p.consult("plati.pl")
resultados = []
resultados.append("Lista de platillos de " + restaurante +
" que incluyen " + ingrediente + ":")
for restaurante in p.query("platillosXrestIngrediente(" + restaurante +
",Nombre,Sabor,Pais," + ingrediente + ")"):
resultados.append(restaurante["Nombre"])
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def main():
prolog = Prolog()
prolog.consult("puzzle1.pl")
for soln in prolog.query("solve(B)."):
#B = eval(soln["B"])
B = soln["B"]
# [NW,N,NE,W,E,SW,S,SE]
print "%d %d %d" % tuple(B[:3])
print "%d %d" % tuple(B[3:5])
print "%d %d %d" % tuple(B[5:])
cont = raw_input("Press 'n' to finish: ")
if cont.lower() == "n": break
def main():
prolog = Prolog()
prolog.consult("puzzle.pl") #membaca file prolog (puzzle.pl)
for soln in prolog.query("solusi(B)."):
#B = eval(soln["B"])
B = soln["B"]
# [NW,N,NE,W,E,SW,S,SE]
print("%d %d %d" % tuple(B[:3]))
print("%d %d" % tuple(B[3:5]))
print("%d %d %d" % tuple(B[5:]))
cont = input("Tekan 'n' untuk selesai: ")
if cont.lower() == "n": break
def diagnose(self, symptoms, age_group=None):
"""Returns a list of possible diagnosis, if any, given a list of symptoms.
For example, if german measles has the symptoms 'runny nose', 'fever',
'headache' and 'rash', the system will return a list containing a dict with
the diagnosis.
symptoms = ['runnynose', 'fever', 'headache', 'rash']
doctor = Doctor('medical')
results = doctor.diagnose(symptoms)
results
>>> [{'Diagnosis': 'germanmeasles'}]
The diagnosis can be accessed with the key 'Diagnosis'.
NOTE: The capital D is important.
diagnosis = results[0]
diagnosis['Diagnosis']
>>> 'germanmeasles'
"""
prolog = Prolog()
if age_group is not None:
prolog.assertz('age_group(patient,%s)' % age_group)
for symptom in symptoms:
prolog.assertz('symptom(patient,%s)' % symptom)
prolog.consult(self.prolog_file)
return list(prolog.query('hypothesis(patient,Diagnosis)'))
def main():
prolog = Prolog()
prolog.consult("prolog_file/puzzle1.pl") #membuka file prolog puzzle.pl
for soln in prolog.query(
"solve(B)."): #menjalankan predikat solve seperti pada file prolog
B = soln["B"]
# [NW,N,NE,W,E,SW,S,SE]
print("%d %d %d" % tuple(B[:3])) #mencetak angka pada papan
print("%d %d" % tuple(B[3:5]))
print("%d %d %d" % tuple(B[5:]))
cont = input("Press 'n' to finish: ")
if cont.lower() == "n": break #jika ditekan n, program selesai
def modified_run(self):
try:
from pyswip.prolog import Prolog
p = Prolog()
p.assertz('setup_prolog(1)')
list(p.query('setup_prolog(1)'))
except:
print('----------------------')
print('There is a problem with SWI-Prolog Installation')
print('Please, check if you have it installed with shared Libraries')
print('Installation guide: https://github.com/yuce/pyswip/blob/master/INSTALL')
print('----------------------')
orig_run(self)
def findShortestPath(from_input, to_input):
prolog = Prolog()
loadDatabase(prolog)
prolog_query = "path(" + from_input + "," + to_input + ",PATH,COST)"
shortest_path_result = list(prolog.query(prolog_query))
path_list = []
shortest_path_lst = shortest_path_result
if len(shortest_path_lst) <= 0:
return False
for i in range(len(shortest_path_lst[0]['PATH'])):
path_list.append(str(shortest_path_result[0]['PATH'][i]))
return path_list, shortest_path_result[0]['COST']
def main():
registerForeign(hello)
prolog = Prolog()
#prolog.assertz("father(michael,john)")
#prolog.assertz("father(michael,gina)")
#list(prolog.query("father(michael,X), hello(X)"))
Query(readFileSee('/home/tyler/Documents/Github/crosswordSolver/word_list.txt')))
def modified_run(self):
try:
from pyswip.prolog import Prolog
p = Prolog()
p.assertz('setup_prolog(1)')
list(p.query('setup_prolog(1)'))
except:
print('----------------------')
print('There is a problem with SWI-Prolog Installation')
print(
'Please, check if you have it installed with shared Libraries')
print(
'Installation guide: https://github.com/yuce/pyswip/blob/master/INSTALL'
)
print('----------------------')
orig_run(self)
def main():
prolog = Prolog()
a1 = PL_new_term_refs(2)
a2 = a1 + 1
t = PL_new_term_ref()
ta = PL_new_term_ref()
animal2 = PL_new_functor(PL_new_atom("animal"), 2)
assertz = PL_new_functor(PL_new_atom("assertz"), 1)
PL_put_atom_chars(a1, "gnu")
PL_put_integer(a2, 50)
PL_cons_functor_v(t, animal2, a1)
PL_cons_functor_v(ta, assertz, t)
PL_call(ta, None)
print(list(prolog.query("animal(X,Y)", catcherrors=True)))
def prologInitialization(self):
print "@Agent: Prolog initialization",
self.prolog = Prolog()
self.prolog.consult("pl/agent.pl")
if (self.logToFile):
self.prolog.query("redirect_output('logs/%s-kb%d.xml')" % (self.username, self.currentLoop)).next()
if (self.verbose):
self.prolog.query("assert(verbose)").next()
print "done"
def partial_diagnosis(self, symptoms):
prolog = Prolog()
for file in self.prolog_files:
prolog.consult(file)
differntial_diagnosis = []
for symptom in symptoms:
for result in prolog.query("hasSymptom(Illness, %s)" % symptom):
differntial_diagnosis.append(result["Illness"])
sick_list = []
# Removes multiple illnesses from the list
sick_list = list(set(differntial_diagnosis))
return sick_list
def main():
prolog = Prolog()
a1 = PL_new_term_refs(2)
a2 = a1 + 1
t = PL_new_term_ref()
ta = PL_new_term_ref()
animal2 = PL_new_functor(PL_new_atom("animal"), 2)
assertz = PL_new_functor(PL_new_atom("assertz"), 1)
PL_put_atom_chars(a1, "gnu")
PL_put_integer(a2, 50)
# PL_cons_functor(t, animal2, a1, a2)
PL_cons_functor_v(t, animal2, a1)
PL_cons_functor_v(ta, assertz, t)
PL_call(ta, None)
# prolog.assertz("animal(gnu, 50)")
print list(prolog.query("animal(X,Y)", catcherrors=True))
def partial_diagnosis(self, symptoms):
prolog = Prolog()
for file in self.prolog_files:
prolog.consult(file)
differntial_diagnosis = []
for symptom in symptoms:
for result in prolog.query('hasSymptom(Illness, %s)' % symptom):
differntial_diagnosis.append(result['Illness'])
sick_list = []
# Removes multiple illnesses from the list
sick_list = list(set(differntial_diagnosis))
return sick_list
def test_load_database(self):
try:
prolog = Prolog()
loadDatabase(prolog)
except:
print("ERROR: cannot load database")
finally:
# do something after show msg
pass
def run_prolog(pipe):
prolog = Prolog()
while True:
request = pipe.recv()
if request == 0:
break
request, args = request
func = getattr(prolog, request)
result = func(*args)
if result is not None:
result = list(result)
pipe.send(result)
def buscaRestaurantesXNombre(nombre):
p = Prolog()
p.consult("rest.pl")
resultados = []
for restaurante in p.query("buscaRest(" + nombre + ",A,B,C,D)"):
temporal = []
tipo = restaurante["A"]
ubicacion = restaurante["B"]
telefono = str(restaurante["C"])
jornada = restaurante["D"]
temporal.append(str(tipo))
temporal.append(str(ubicacion))
temporal.append(str(telefono))
temporal.append(str(jornada))
temporal.append("Fin de restaurante")
resultados.append(temporal)
temporal = []
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def buscaPlatillosRest(restaurante):
p = Prolog()
p.consult("plati.pl")
resultados = []
for restaurante in p.query("platillosXrest(" + restaurante +
",Nombre,Sabor,Pais,Ingredientes)"):
temporal = []
temporal.append("Nombre: " + str(restaurante["Nombre"]))
temporal.append("Sabor: " + str(restaurante["Sabor"]))
temporal.append("Pais de origen: " + restaurante["Pais"])
t = ""
for i in list(restaurante["Ingredientes"]):
t += str(i) + " - "
temporal.append(str("Ingredientes: " + t))
t = ""
resultados.append(temporal)
temporal = []
log = file("log.txt", "a")
log.write(str(resultados) + "\n")
log.close()
return resultados
def main():
prolog = Prolog()
#membuka file coins.pl
prolog.consult("prolog_file/coins.pl")
#mendeklarasi nilai count dan total
#menginputkan nilai count dan nilai total berupa angka
count = int(input("Berapa jumlah koin(default: 100)? ") or 100)
total = int(input("Jumlah target total (default: 500)? ") or 500)
#melakukan perulangan dengan menampilkan nilai yang ada di dalam list
#enumerate berfungsi untuk mengembalikan sebuah objek iterable yang setiap itemnya memiliki indeks
#memanggil fungsi coins pada prolog
for i, soln in enumerate(prolog.query("coins(S, %d, %d)." %
(count, total))):
# [1,5,10,50,100]
S = zip(soln["S"], [1, 5, 10, 50, 100])
print(i), #cetak nilai
#melakukan perulangan untuk menampilkan angka perkalian
for c, v in S:
print("%dx%d" % (c, v)), #cetak perkalian
print #cetak hasil perulangan
#fungsi list yaitu mengembalikan list berisi anggota-anggota dari objek yang menjadi argumennya
#jika argumennya kosong, maka fungsi ini akan mengembalikan list kosong
#jika argumennya berisikan data, maka yang digunakan adalah data-data yang digunakan dari list tersebut
#hasil akhirnya akan menampilkan perhitungan perkalian dari jumlah nilai yang diinputkan
list(prolog.query("coins(S, %d, %d)." % (count, total)))
def diagnose(self, symptoms, age_group=None):
"""Returns a list of possible diagnosis, if any, given a list of symptoms.
For example, if german measles has the symptoms 'runny nose', 'fever',
'headache' and 'rash', the system will return a list containing a dict with
the diagnosis.
symptoms = ['runnynose', 'fever', 'headache', 'rash']
doctor = Doctor('medical')
results = doctor.diagnose(symptoms)
results
>>> [{'Diagnosis': 'germanmeasles'}]
The diagnosis can be accessed with the key 'Diagnosis'.
NOTE: The capital D is important.
diagnosis = results[0]
diagnosis['Diagnosis']
>>> 'germanmeasles'
"""
prolog = Prolog()
if age_group is None:
age_group = 'none'
patient = 'patient'
self._query_and_log(prolog.assertz,
'age_group(%s,%s)' % (patient, age_group))
for symptom in symptoms:
self._query_and_log(prolog.assertz,
'symptom(%s,%s)' % (patient, symptom))
for file in self.prolog_files:
prolog.consult(file)
return list(
self._query_and_log(prolog.query,
'hypothesis(%s,Diagnosis)' % patient))
class MainController:
def __init__(self):
# http://nullege.com/codes/search/pyswip.prolog.Prolog.query
self.__root = ''
self.__on_prolog = 'prolog'
self.__of_prolog = 'halt.'
# Preguntas
self.__a_animal = 'animal(X).'
self.__prolog = Prolog()
self._probando()
def _verifica_animal(self):
self.__prolog.consult(self.__root)
print '\nprolog dame ejemplos de animales: '
for soln in self.__prolog.query(self.__a_animal):
X = soln["X"]
print X
def _probando(self):
Question().run()
def main():
# Initialize the prolog code
prolog = Prolog()
prolog.consult("talking_to_kid.pl")
item = 'slides'
stop = False
first = True
positive = True
# Main program loop
while not stop:
#Ask someone a question based on their previous answer
if first:
# If this is the first question, we have a neutral statement
first = False
response = query(item, 'Hello!', '?')
else:
if positive:
# We pick a random positive prefix and suffix if they answered positively previously
response = query(item, random.choice(positivePrefix), random.choice(positiveSuffix))
else:
# We pick a random negative prefix and suffix if they answered 'no' to the previous queries
response = query(item, random.choice(negativePrefix), random.choice(negativeSuffix))
if response:
#If the response is True, ask a followup
followup = list(prolog.query('followup({}, Y)'.format(item)))
# Retrieve a random followup question related to the item (Since some items can have multiple followups)
followup_item = random.choice(followup)['Y']
followup_true = askFollow(followup_item)
# If the followup is true, then we can say that they like the item. Otherwise they dislike it
# We add the item to the knowledge base as something that is liked or disliked by asserting this to the prolog script.
if followup_true:
prolog.assertz('like({})'.format(item))
positive = True # Remember the positivity of the statement to change the statement
else:
prolog.assertz('dislike({})'.format(item))
positive = False
else:
def main():
prolog = Prolog()
prolog.consult("coins.pl")
count = int(input("How many coins (default: 100)? ") or 100)
total = int(input("What should be the total (default: 500)? ") or 500)
for i, soln in enumerate(prolog.query("coins(S, %d, %d)." % (count,total))):
# [1,5,10,50,100]
S = list(zip(soln["S"], [1, 5, 10, 50, 100]))
print(i, end=' ')
for c, v in S:
print("%dx%d" % (c,v), end=' ')
print()
list(prolog.query("coins(S, %d, %d)." % (count,total)))
def main():
registerForeign(hello)
prolog = Prolog()
prolog.assertz("father(michael,john)")
prolog.assertz("father(michael,gina)")
list(prolog.query("father(michael,X), hello(X)"))
class Agent():
# The Agent class' point of entry is the mainLoop method.
# This method cycles through simulations and exits when it receives a 'bye'
# message or encounters an anomalous situation. The mainLoop method calls the
# perceiveActLoop, which encapsulates message reception and handling.
# If an action-request message is received, the processActionRequest method is
# called.
# This in turn calls the processPerception method, which uses the various other
# process* methods to update the agent's KB with information from the
# perception.
# Decision making takes place in the processActionRequest method.
#----------------------------------------------------------------------------------------------#
def __init__(self, USER, PASS, logToFile, massimHost, perceptServerHost, perceptServerPort, dummy, communication, verbose):
self.firstTurn = True
self.username = USER
self.password = PASS
self.dummy = dummy
if (dummy):
print "@Agent: Running in dummy mode."
self.auxTimeDummy = 10 #10 milisegundos para ejecutar dummy
self.communication = communication
if (communication):
print "@Agent: Running with communication protocol activated."
self.verbose = verbose
if (verbose):
print "@Agent: Running in verbose mode."
self.logToFile = logToFile
if (logToFile):
print "@Agent: Logging to file."
sys.stdout = open('logs/%s-log.txt' % USER, 'w')
else:
pass
self.log = sys.stdout
self.massimHost = '127.0.0.1'
if (massimHost):
self.massimHost = massimHost
self.deadline = 0
print "@Agent: Basic initialization",
self.massimConnection = MASSimConnection(self.massimHost, 12300, USER, PASS)
self.perceptServerHost = perceptServerHost
self.perceptServerPort = perceptServerPort
if (perceptServerPort and perceptServerHost):
self.perceptConnection = PerceptConnection(perceptServerHost, int(perceptServerPort), USER)
else:
self.perceptConnection = VortexPerceptConnection()
print "done"
#----------------------------------------------------------------------------------------------#
def connect(self):
# Connect and authenticate to the MASSim server.
try:
self.massimConnection.connect()
except:
print "@Agent: Error during connection attempt to the MASSim server."
quit()
#----------------------------------------------------------------------------------------------#
def disconnect(self):
# Let both the MASSim server and the percept server know that we will no
# longer be connecting.
self.massimConnection.disconnect()
self.perceptConnection.disconnect()
if (self.logToFile):
self.log.close()
self.log = sys.__stdout__
sys.stdout = sys.__stdout__
#----------------------------------------------------------------------------------------------#
def prologInitialization(self):
print "@Agent: Prolog initialization",
self.prolog = Prolog()
self.prolog.consult("pl/agent.pl")
if (self.logToFile):
self.prolog.query("redirect_output('logs/%s-kb%d.xml')" % (self.username, self.currentLoop)).next()
if (self.verbose):
self.prolog.query("assert(verbose)").next()
print "done"
#----------------------------------------------------------------------------------------------#
def prologFinalization(self):
print "@Agent: Prolog finalization",
self.prolog.query("retractall(k(_))").next()
self.prolog.query("retractall(b(_))").next()
self.prolog.query("retractall(h(_))").next()
self.prolog.query("retractall(myName(_))").next()
self.prolog.query("retractall(visibleNode(_))").next()
self.prolog.query("retractall(notVisible(_))").next()
self.prolog.query("retractall(explored(_))").next()
self.prolog.query("retractall(notExplored(_))").next()
self.prolog.query("retractall(inRange(_))").next()
self.prolog.query("retractall(buyCount(_,_))").next()
if self.verbose:
self.prolog.query("saveKB('-%d')" % self.currentLoop).next()
self.prolog.query("close_output").next()
self.prolog = None
print "done"
#----------------------------------------------------------------------------------------------#
def processSimulationStart(self, msg_dict):
def roleHardCode(username):
roledict = { '1' : 'explorer'
, '2' : 'explorer'
, '3' : 'repairer'
, '4' : 'repairer'
, '5' : 'saboteur'
, '6' : 'saboteur'
, '7' : 'sentinel'
, '8' : 'sentinel'
, '9' : 'inspector'
, '10' : 'inspector'
}
number = username[-1:]
if (number == '0'):
number = '10'
return roledict[number]
defaultVisionRange = { 'explorer' : 2
, 'repairer' : 1
, 'saboteur' : 1
, 'sentinel' : 3
, 'inspector': 1
}
self.role = roleHardCode(self.username)
self.prolog_role_file = "pl/%s.pl" % (self.role)
self.prolog.consult(self.prolog_role_file)
if self.username[-1] == '0':
team = self.username[:-2]
else:
team = self.username[:-1]
for x in range(1,11):
self.prolog.query("assertOnce(k(agentRole(%s%d, %s)))" % (team, x, roleHardCode(str(x)))).next()
self.prolog.query("updateMyName(%s)" % self.username).next()
if (self.communication):
self.prolog.query("conectar(%s)" % self.username).next()
self.prolog.query("registrar([d3lp0r, %s], mapc)" % self.role).next()
print "@Agent: Saving the visual range of %s: %s" % (self.role, defaultVisionRange[self.role])
self.prolog.query("assert(myVisionRange(%s))" % defaultVisionRange[self.role]).next()
self.prolog.query("assert(k(agentVisionRange(0,%s,%s)))" % (self.username, defaultVisionRange[self.role])).next()
#----------------------------------------------------------------------------------------------#
def merge_percepts(self, msg_dict_public, msg_dict_difference):
msg_dict_public['position'].extend( msg_dict_difference.get('position', []))
msg_dict_public['vis_verts'].extend( msg_dict_difference.get('vis_verts', []))
msg_dict_public['vis_edges'].extend( msg_dict_difference.get('vis_edges', []))
msg_dict_public['vis_ents'].extend( msg_dict_difference.get('vis_ents', []))
msg_dict_public['probed_verts'].extend( msg_dict_difference.get('probed_verts', []))
msg_dict_public['surveyed_edges'].extend( msg_dict_difference.get('surveyed_edges', []))
msg_dict_public['inspected_ents'].extend( msg_dict_difference.get('inspected_ents', []))
#----------------------------------------------------------------------------------------------#
def processNodes(self, msg_dict):
# First, we obtain all the probed vertices.
# Then, for each visible vertex, we check whether the vertx is among the probed vertices.
# If it is, it's information is updated with it's value.
# Otherwise, it's information is updated with the value unknown.
probed_verts = msg_dict.get('probed_verts', [])
self.prolog.query("retractall(inRange(_))").next()
for x in msg_dict.get('vis_verts', []):
self.prolog.query("asserta(inRange(%s))" % x['name']).next()
# in_pv == "in probed vertices"
in_pv = False
for pv in probed_verts:
if (pv['name'] == x['name']):
in_pv = True
break
if (in_pv):
self.prolog.query('updateNodeValue(%s,%s)' % (x['name'], pv['value'])).next()
else:
self.prolog.query('updateNodeValue(%s,unknown)' % x['name']).next()
self.prolog.query('updateNodeTeam(%s,%s)' % (x['name'], x['team'])).next()
#----------------------------------------------------------------------------------------------#
def processEdges(self, msg_dict):
# We update the map state with edges.
for e in msg_dict.get('vis_edges', []):
self.prolog.query("updateEdge(%s,%s,unknown)" % (e['node1'], e['node2'])).next()
for e in msg_dict.get('surveyed_edges', []):
self.prolog.query("updateEdge(%s,%s,%s)" % (e['node1'], e['node2'], e['weight'])).next()
#----------------------------------------------------------------------------------------------#
def processEntities(self, msg_dict_private, msg_dict_public):
# Process the rest of the visible entities.
for vis_ent in msg_dict_public['vis_ents']:
self.prolog.query("updateEntityTeamPosition(%s,%s,%s,%s)" % (vis_ent['name'], vis_ent['team'], vis_ent['node'], vis_ent['status'])).next()
# Proceso las entidades en la percepcion compartida.
# Si o si son de tu equipo, luego el team se fija a el propio.
for p in msg_dict_public.get('position', []):
# Get my own team name from the list of visible entities.
team = 'd3lp0r'
for e in msg_dict_public['vis_ents']:
if (unicode(self.username) == e['name']):
team = e['team']
break
# Caso especial: cuando soy yo mismo.
if (p['name'] == 'self'):
parameters = ( self.username
, team
, p['node']
, self.role
, msg_dict_private['energy']
, msg_dict_private['max_energy']
, msg_dict_private['health']
, msg_dict_private['max_health']
, msg_dict_private['strength']
, msg_dict_private['vis_range']
)
self.prolog.query("updateEntity(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" % parameters).next()
else:
parameters = ( p['name']
, team
, p['node']
, p['health']
, p['max_health']
, p['vis_range']
)
self.prolog.query("updateTeammateEntity(%s,%s,%s,%s,%s,%s)" % parameters).next()
# Proceso las entidades inspeccionadas.
for e in msg_dict_public['inspected_ents']:
parameters = ( e['name']
, e['team']
, e['node']
, e['role']
, e['energy']
, e['max_energy']
, e['health']
, e['max_health']
, e['strength']
, e['vis_range']
)
self.prolog.query("updateEntity(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" % parameters).next()
#----------------------------------------------------------------------------------------------#
def processPerception(self, msg_dict_private, msg_dict_public):
# Actualizamos cada uno de los campos individuales del agente.
self.prolog.query("updateStep(%s)" % msg_dict_private['step']).next()
self.prolog.query("updateMaxEnergyDisabled(%s)" % msg_dict_private['max_energy_disabled']).next()
self.prolog.query("updateLastAction(%s)" % msg_dict_private['last_action']).next()
self.prolog.query("updateLastActionResult(%s)" % msg_dict_private['last_action_result']).next()
self.prolog.query("updateMoney(%s)" % msg_dict_private['money']).next()
self.prolog.query("updateScore(%s)" % msg_dict_private['score']).next()
self.prolog.query("updateZoneScore(%s)" % msg_dict_private['zone_score']).next()
self.prolog.query("updateLastStepScore(%s)" % msg_dict_private['last_step_score']).next()
self.processNodes(msg_dict_public)
self.processEdges(msg_dict_public)
self.processEntities(msg_dict_private, msg_dict_public)
self.prolog.query("updatePhase").next()
#----------------------------------------------------------------------------------------------#
def processActionRequest(self, action_id, msg_dict_private, msg_dict_public):
print "@Agent: received request-action. id: %s" % action_id
# Synchronize perceptions with others.
if (self.firstTurn):
msg_dict_difference = self.perceptConnection.send_and_recv(msg_dict_public, True)
print "@Agent: first turn running, requesting history from percept server."
print_message(msg_dict_difference)
else:
msg_dict_difference = self.perceptConnection.send_and_recv(msg_dict_public)
self.merge_percepts(msg_dict_public, msg_dict_difference)
# Process perception.
self.processPerception(msg_dict_private, msg_dict_public)
# Decide action.
now = time.time()
if self.dummy or (now > self.deadline):
query_result = self.prolog.query("execDummy(X)").next()
else:
self.remainingTime = self.deadline - now
query_result = self.prolog.query("run(%s, X)" % self.remainingTime).next()
actionList = query_result['X']
if (len(actionList) == 1):
action_xml = action(action_id, actionList[0])
action_str = actionList[0]
print "@Agent: action: %s" % actionList[0]
elif (len(actionList) == 2):
print "@Agent: action: %s %s" % (actionList[0], actionList[1])
action_str = '%s(%s)' % (actionList[0], actionList[1])
action_xml = action(action_id, actionList[0], actionList[1])
else:
print "@Agent: error in returned action."
print "@Agent: return value: %s" % actionList
action_xml = action(action_id, "skip")
action_str = 'skip'
return (action_xml, action_str)
#----------------------------------------------------------------------------------------------#
def perceiveActLoop(self):
# Receive simulation start notification.
print "@Agent: Waiting for message from MASSim server."
xml = self.massimConnection.receive()
msg_type, _, msg_dict, _ = parse(xml)
quitPerceiveActLoop = False
while (not quitPerceiveActLoop):
xml = self.massimConnection.receive()
msg_type, action_id, msg_dict_private, msg_dict_public = parse(xml)
# Apparently, the sim-start message is not received at the very beginning.
self.processSimulationStart(msg_dict)
if (msg_type == 'sim-start'):
print "\n\n===== NEW SIMULATION =====\n\n"
print "@Agent: Received simulation start notification."
print_message(msg_dict)
print "@Agent: Processing simulation start...",
self.processSimulationStart(msg_dict)
print "done"
quitPerceiveActLoop = False
elif (msg_type == 'request-action'):
print "@Agent: %s receiving perception from server..." % self.username
self.turnStartTime = time.time()
self.deadline = self.massimConnection.messageReceived + msg_dict_private['total_time'] / 1000 - 0.2 # VALOR A CAMBIAR
print "------------------------------------------------------------"
print "@Agent: Step: %s" % msg_dict_private['step']
# Primera fase deliberativa: el agente considera por si mismo que accion realizar.
action_xml, action_str = self.processActionRequest(action_id, msg_dict_private, msg_dict_public)
# Segunda fase: los agentes se comunican entre si, y se reconsideran las acciones.
if (self.communication):
self.prolog.query("communicateAndResolveConflicts(%s, NewAction)" % action_str).next()
# Send the action to the MASSim server.
self.massimConnection.send(action_xml)
self.firstTurn = False
elif (msg_type == 'sim-end'):
print "@Agent: Received sim-end"
print_message(msg_dict_private)
quitPerceiveActLoop = True
elif (msg_type == 'bye'):
print "@Agent: Received bye"
print_message(msg_dict_private)
self.quit = True
quitPerceiveActLoop = True
else:
print "@Agent: In area 51."
print_message(msg_dict_private)
quitPerceiveActLoop = True
self.quit = True
#----------------------------------------------------------------------------------------------#
def mainLoop(self):
self.quit = False
agent.connect()
self.currentLoop = 0
while (not self.quit):
self.currentLoop += 1
self.prologInitialization()
try:
self.perceiveActLoop()
except socket.error:
self.prolog.query("catch(saveKB('-fin-%d'),E,writeln(E))" % self.currentLoop).next()
sys.exit(0)
self.prologFinalization()
if not self.logToFile:
raw_input("\nFinished. Press ENTER to continue...")
agent.disconnect()
