def processLine(self, msg):
try:
if msg is None:
print("Message is null")
return
message = msg.split(self.TOKEN_SEP)
if len(message) < 2:
print("Message not complete")
return
self.lastMessageId = message[0]
js = message[1]
self.sso = SerializableStateObservation()
if js == "START":
self.sso.phase = Phase.START
elif js == "FINISH":
self.sso.phase = Phase.FINISH
else:
js.replace('"', '')
self.parse_json(js)
# self.sso = json.loads(js, object_hook=self.as_sso)
if self.sso.phase == "ACT":
if self.lastSsoType == LEARNING_SSO_TYPE.IMAGE or self.lastSsoType == "IMAGE" \
or self.lastSsoType == LEARNING_SSO_TYPE.BOTH or self.lastSsoType == "BOTH":
if self.sso.imageArray:
self.sso.convertBytesToPng(self.sso.imageArray)
except Exception as e:
logging.exception(e)
print("Line processing [FAILED]")
traceback.print_exc()
sys.exit()
def __init__(self, agentName):
self.TOKEN_SEP = '#'
self.io = IOSocket(CompetitionParameters.SOCKET_PORT)
self.sso = SerializableStateObservation()
self.agentName = agentName
self.lastMessageId = 0
self.LOG = False
self.player = None
self.global_ect = None
self.lastSsoType = LEARNING_SSO_TYPE.JSON
def processLine(self, msg):
try:
if msg is None:
print ("Message is null")
return
message = msg.split(self.TOKEN_SEP)
if len(message) < 2:
print ("Message not complete")
return
self.lastMessageId = message[0]
js = message[1]
self.sso = SerializableStateObservation()
if js == "START":
self.sso.phase = Phase.START
elif js == "FINISH":
self.sso.phase = Phase.FINISH
else:
js.replace('"', '')
self.parse_json(js)
# self.sso = json.loads(js, object_hook=self.as_sso)
if self.sso.phase == "ACT":
if self.lastSsoType == LEARNING_SSO_TYPE.IMAGE or self.lastSsoType == "IMAGE" \
or self.lastSsoType == LEARNING_SSO_TYPE.BOTH or self.lastSsoType == "BOTH":
if self.sso.imageArray:
self.sso.convertBytesToPng(self.sso.imageArray)
except Exception as e:
logging.exception(e)
print("Line processing [FAILED]")
traceback.print_exc()
sys.exit()
def __init__(self, agentName):
self.TOKEN_SEP = '#'
self.io = IOSocket(CompetitionParameters.SOCKET_PORT)
self.sso = SerializableStateObservation()
self.agentName = agentName
self.lastMessageId = 0
self.LOG = False
self.player = None
self.global_ect = None
self.lastSsoType = LEARNING_SSO_TYPE.JSON
class ClientComm:
"""
* Client communication, set up the socket for a given agent
"""
def __init__(self, agentName):
self.TOKEN_SEP = '#'
self.io = IOSocket(CompetitionParameters.SOCKET_PORT)
self.sso = SerializableStateObservation()
self.agentName = agentName
self.lastMessageId = 0
self.LOG = False
self.player = None
self.global_ect = None
self.lastSsoType = LEARNING_SSO_TYPE.JSON
def startComm(self):
self.io.initBuffers()
try:
self.listen()
except Exception as e:
logging.exception(e)
print("Start listen [FAILED]")
traceback.print_exc()
sys.exit()
"""
* Method that perpetually listens for messages from the server.
* With the use of additional helper methods, this function interprets
* messages and represents the core response-generation methodology of the agent.
* @throws IOException
"""
def listen(self):
line = ''
while line is not None:
line = self.io.readLine()
line = line.rstrip("\r\n")
self.processLine(line)
if self.sso.phase == Phase.START:
self.start()
elif self.sso.phase == "INIT":
self.sso.phase = Phase.INIT
self.init()
elif self.sso.phase == Phase.INIT:
self.init()
elif self.sso.phase == "END":
self.sso.phase = Phase.END
self.result()
elif self.sso.phase == Phase.END:
self.result()
elif self.sso.phase == "ABORT":
self.sso.phase = Phase.ABORT
self.result()
elif self.sso.phase == Phase.ABORT:
self.result()
elif self.sso.phase == "ACT":
self.sso.phase = Phase.ACT
self.act()
elif self.sso.phase == Phase.ACT:
self.act()
elif self.sso.phase == Phase.FINISH:
line = None
elif self.sso.phase == "FINISH":
line = None
else:
self.io.writeToServer(self.lastMessageId, 'ERROR', self.LOG)
"""
Helper method that converts a given dictionary into
a correct SSO type
"""
def as_sso(self, d):
self.sso.__dict__.update(d)
return self.sso
def parse_json(self, input):
parsed_input = json.loads(input)
self.sso.__dict__.update(parsed_input)
if parsed_input.get('observationGrid'):
self.sso.observationGrid = [[
[None for j in range(self.sso.observationGridMaxCol)]
for i in range(self.sso.observationGridMaxRow)
] for k in range(self.sso.observationGridNum)]
for i in range(self.sso.observationGridNum):
for j in range(len(parsed_input['observationGrid'][i])):
for k in range(len(parsed_input['observationGrid'][i][j])):
self.sso.observationGrid[i][j][k] = Observation(
parsed_input['observationGrid'][i][j][k])
if parsed_input.get('NPCPositions'):
self.sso.NPCPositions = [[
None for j in range(self.sso.NPCPositionsMaxRow)
] for i in range(self.sso.NPCPositionsNum)]
for i in range(self.sso.NPCPositionsNum):
for j in range(len(parsed_input['NPCPositions'][i])):
self.sso.NPCPositions[i][j] = Observation(
parsed_input['NPCPositions'][i][j])
if parsed_input.get('immovablePositions'):
self.sso.immovablePositions = [[
None for j in range(self.sso.immovablePositionsMaxRow)
] for i in range(self.sso.immovablePositionsNum)]
for i in range(self.sso.immovablePositionsNum):
for j in range(len(parsed_input['immovablePositions'][i])):
self.sso.immovablePositions[i][j] = Observation(
parsed_input['immovablePositions'][i][j])
if parsed_input.get('movablePositions'):
self.sso.movablePositions = [[
None for j in range(self.sso.movablePositionsMaxRow)
] for i in range(self.sso.movablePositionsNum)]
for i in range(self.sso.movablePositionsNum):
for j in range(len(parsed_input['movablePositions'][i])):
self.sso.movablePositions[i][j] = Observation(
parsed_input['movablePositions'][i][j])
if parsed_input.get('resourcesPositions'):
self.sso.resourcesPositions = [[
None for j in range(self.sso.resourcesPositionsMaxRow)
] for i in range(self.sso.resourcesPositionsNum)]
for i in range(self.sso.resourcesPositionsNum):
for j in range(len(parsed_input['resourcesPositions'][i])):
self.sso.resourcesPositions[i][j] = Observation(
parsed_input['resourcesPositions'][i][j])
if parsed_input.get('portalsPositions'):
self.sso.portalsPositions = [[
None for j in range(self.sso.portalsPositionsMaxRow)
] for i in range(self.sso.portalsPositionsNum)]
for i in range(self.sso.portalsPositionsNum):
for j in range(len(parsed_input['portalsPositions'][i])):
self.sso.portalsPositions[i][j] = Observation(
parsed_input['portalsPositions'][i][j])
if parsed_input.get('fromAvatarSpritesPositions'):
self.sso.fromAvatarSpritesPositions = [[
None for j in range(self.sso.fromAvatarSpritesPositionsMaxRow)
] for i in range(self.sso.fromAvatarSpritesPositionsNum)]
for i in range(self.sso.fromAvatarSpritesPositionsNum):
for j in range(
len(parsed_input['fromAvatarSpritesPositions'][i])):
self.sso.fromAvatarSpritesPositions[i][j] = Observation(
parsed_input['fromAvatarSpritesPositions'][i][j])
"""
* Method that interprets the received messages from the server's side.
* A message can either be a string (in the case of initialization), or
* a json object containing an encapsulated state observation.
* This method deserializes the json object into a local state observation
* instance.
* @param msg Message received from server to be interpreted.
* @throws IOException
"""
def processLine(self, msg):
try:
if msg is None:
print("Message is null")
return
message = msg.split(self.TOKEN_SEP)
if len(message) < 2:
print("Message not complete")
return
self.lastMessageId = message[0]
js = message[1]
self.sso = SerializableStateObservation()
if js == "START":
self.sso.phase = Phase.START
elif js == "FINISH":
self.sso.phase = Phase.FINISH
else:
js.replace('"', '')
self.parse_json(js)
# self.sso = json.loads(js, object_hook=self.as_sso)
if self.sso.phase == "ACT":
if self.lastSsoType == LEARNING_SSO_TYPE.IMAGE or self.lastSsoType == "IMAGE" \
or self.lastSsoType == LEARNING_SSO_TYPE.BOTH or self.lastSsoType == "BOTH":
if self.sso.imageArray:
self.sso.convertBytesToPng(self.sso.imageArray)
except Exception as e:
logging.exception(e)
print("Line processing [FAILED]")
traceback.print_exc()
sys.exit()
"""
* Manages the start of the communication. It starts the whole process, and sets up the timer for the whole run.
"""
def start(self):
self.global_ect = ElapsedCpuTimer()
self.global_ect.setMaxTimeMillis(
CompetitionParameters.TOTAL_LEARNING_TIME)
ect = ElapsedCpuTimer()
ect.setMaxTimeMillis(5000000)
self.startAgent()
if ect.exceededMaxTime():
self.io.writeToServer(self.lastMessageId,
"START_FAILED_DUE_TO_TIMEMOUT", self.LOG)
else:
self.io.writeToServer(self.lastMessageId,
"START_DONE" + "#" + self.lastSsoType,
self.LOG)
def startAgent(self):
try:
try:
module = importlib.import_module(self.agentName, __name__)
try:
self.player = getattr(module, 'Agent')()
self.lastSsoType = self.player.lastSsoType
except AttributeError:
logging.error('ERROR: Class does not exist')
traceback.print_exc()
sys.exit()
except ImportError:
logging.error('ERROR: Module does not exist')
traceback.print_exc()
sys.exit()
print("Agent startup [OK]")
except Exception as e:
logging.exception(e)
print("Agent startup [FAILED]")
traceback.print_exc()
sys.exit()
"""
* Manages the init of a game played.
"""
def init(self):
ect = ElapsedCpuTimer()
ect.setMaxTimeMillis(CompetitionParameters.INITIALIZATION_TIME)
self.player.init(self.sso, ect.copy())
self.lastSsoType = self.player.lastSsoType
if ect.exceededMaxTime():
self.io.writeToServer(self.lastMessageId, "INIT_FAILED", self.LOG)
else:
self.io.writeToServer(self.lastMessageId,
"INIT_DONE" + "#" + self.lastSsoType,
self.LOG)
"""
* Manages the action request for an agent. The agent is requested for an action,
* which is sent back to the server
"""
def act(self):
ect = ElapsedCpuTimer()
ect.setMaxTimeMillis(CompetitionParameters.ACTION_TIME)
action = str(self.player.act(self.sso, ect.copy()))
if (not action) or (action == ""):
action = "ACTION_NIL"
self.lastSsoType = self.player.lastSsoType
if ect.exceededMaxTime():
if ect.elapsedNanos(
) > CompetitionParameters.ACTION_TIME_DISQ * 1000000:
self.io.writeToServer(self.lastMessageId, "END_OVERSPENT",
self.LOG)
else:
self.io.writeToServer(self.lastMessageId,
"ACTION_NIL" + "#" + self.lastSsoType,
self.LOG)
else:
self.io.writeToServer(self.lastMessageId,
action + "#" + self.lastSsoType, self.LOG)
"""
* Manages the aresult sent to the agent. The time limit for this call will be TOTAL_LEARNING_TIME
* or EXTRA_LEARNING_TIME if current global time is beyond TOTAL_LEARNING_TIME.
* The agent is assumed to return the next level to play. It will be ignored if
* a) All training levels have not been played yet (in which case the starting sequence 0-1-2 continues).
* b) It's outside the range [0,4] (in which case we play one at random)
* c) or we are in the validation phase (in which case the starting sequence 3-4 continues).
"""
def result(self):
ect = ElapsedCpuTimer()
if not self.global_ect.exceededMaxTime():
ect = self.global_ect.copy()
else:
ect.setMaxTimeMillis(CompetitionParameters.EXTRA_LEARNING_TIME)
nextLevel = self.player.result(self.sso, ect.copy())
# print "Result of a game at " + str(ect.remainingTimeMillis()) + "ms to the end."
self.lastSsoType = self.player.lastSsoType
if ect.exceededMaxTime():
self.io.writeToServer(self.lastMessageId, "END_OVERSPENT",
self.LOG)
else:
if self.global_ect.exceededMaxTime():
end_message = "END_VALIDATION" if self.sso.isValidation else "END_TRAINING"
self.io.writeToServer(self.lastMessageId, end_message,
self.LOG)
else:
self.io.writeToServer(self.lastMessageId,
str(nextLevel) + "#" + self.lastSsoType,
self.LOG)
class ClientComm:
"""
* Client communication, set up the socket for a given agent
"""
def __init__(self, agentName):
self.TOKEN_SEP = '#'
self.io = IOSocket(CompetitionParameters.SOCKET_PORT)
self.sso = SerializableStateObservation()
self.agentName = agentName
self.lastMessageId = 0
self.LOG = False
self.player = None
self.global_ect = None
self.lastSsoType = LEARNING_SSO_TYPE.JSON
def startComm(self):
self.io.initBuffers()
try:
self.listen()
except Exception as e:
logging.exception(e)
print("Start listen [FAILED]")
traceback.print_exc()
sys.exit()
"""
* Method that perpetually listens for messages from the server.
* With the use of additional helper methods, this function interprets
* messages and represents the core response-generation methodology of the agent.
* @throws IOException
"""
def listen(self):
line = ''
while line is not None:
line = self.io.readLine()
line = line.rstrip("\r\n")
self.processLine(line)
if self.sso.phase == Phase.START:
self.start()
elif self.sso.phase == "INIT":
self.sso.phase = Phase.INIT
self.init()
elif self.sso.phase == Phase.INIT:
self.init()
elif self.sso.phase == "END":
self.sso.phase = Phase.END
self.result()
elif self.sso.phase == Phase.END:
self.result()
elif self.sso.phase == "ABORT":
self.sso.phase = Phase.ABORT
self.result()
elif self.sso.phase == Phase.ABORT:
self.result()
elif self.sso.phase == "ACT":
self.sso.phase = Phase.ACT
self.act()
elif self.sso.phase == Phase.ACT:
self.act()
elif self.sso.phase == Phase.FINISH:
line = None
elif self.sso.phase == "FINISH":
line = None
else:
self.io.writeToServer(self.lastMessageId, 'ERROR', self.LOG)
"""
Helper method that converts a given dictionary into
a correct SSO type
"""
def as_sso(self, d):
self.sso.__dict__.update(d)
return self.sso
def parse_json(self, input):
parsed_input = json.loads(input)
self.sso.__dict__.update(parsed_input)
if parsed_input.get('observationGrid'):
self.sso.observationGrid = [[[None for j in range(self.sso.observationGridMaxCol)]
for i in range(self.sso.observationGridMaxRow)]
for k in range(self.sso.observationGridNum)]
for i in range(self.sso.observationGridNum):
for j in range(len(parsed_input['observationGrid'][i])):
for k in range(len(parsed_input['observationGrid'][i][j])):
self.sso.observationGrid[i][j][k] = Observation(parsed_input['observationGrid'][i][j][k])
if parsed_input.get('NPCPositions'):
self.sso.NPCPositions = [[None for j in
range(self.sso.NPCPositionsMaxRow)] for i in
range(self.sso.NPCPositionsNum)]
for i in range(self.sso.NPCPositionsNum):
for j in range(len(parsed_input['NPCPositions'][i])):
self.sso.NPCPositions[i][j] = Observation(parsed_input['NPCPositions'][i][j])
if parsed_input.get('immovablePositions'):
self.sso.immovablePositions = [[None for j in
range(self.sso.immovablePositionsMaxRow)] for i in
range(self.sso.immovablePositionsNum)]
for i in range(self.sso.immovablePositionsNum):
for j in range(len(parsed_input['immovablePositions'][i])):
self.sso.immovablePositions[i][j] = Observation(parsed_input['immovablePositions'][i][j])
if parsed_input.get('movablePositions'):
self.sso.movablePositions = [[None for j in
range(self.sso.movablePositionsMaxRow)] for i in
range(self.sso.movablePositionsNum)]
for i in range(self.sso.movablePositionsNum):
for j in range(len(parsed_input['movablePositions'][i])):
self.sso.movablePositions[i][j] = Observation(parsed_input['movablePositions'][i][j])
if parsed_input.get('resourcesPositions'):
self.sso.resourcesPositions = [[None for j in
range(self.sso.resourcesPositionsMaxRow)] for i in
range(self.sso.resourcesPositionsNum)]
for i in range(self.sso.resourcesPositionsNum):
for j in range(len(parsed_input['resourcesPositions'][i])):
self.sso.resourcesPositions[i][j] = Observation(parsed_input['resourcesPositions'][i][j])
if parsed_input.get('portalsPositions'):
self.sso.portalsPositions = [[None for j in
range(self.sso.portalsPositionsMaxRow)] for i in
range(self.sso.portalsPositionsNum)]
for i in range(self.sso.portalsPositionsNum):
for j in range(len(parsed_input['portalsPositions'][i])):
self.sso.portalsPositions[i][j] = Observation(parsed_input['portalsPositions'][i][j])
if parsed_input.get('fromAvatarSpritesPositions'):
self.sso.fromAvatarSpritesPositions = [[None for j in
range(self.sso.fromAvatarSpritesPositionsMaxRow)] for i in
range(self.sso.fromAvatarSpritesPositionsNum)]
for i in range(self.sso.fromAvatarSpritesPositionsNum):
for j in range(len(parsed_input['fromAvatarSpritesPositions'][i])):
self.sso.fromAvatarSpritesPositions[i][j] = Observation(parsed_input['fromAvatarSpritesPositions'][i][j])
"""
* Method that interprets the received messages from the server's side.
* A message can either be a string (in the case of initialization), or
* a json object containing an encapsulated state observation.
* This method deserializes the json object into a local state observation
* instance.
* @param msg Message received from server to be interpreted.
* @throws IOException
"""
def processLine(self, msg):
try:
if msg is None:
print ("Message is null")
return
message = msg.split(self.TOKEN_SEP)
if len(message) < 2:
print ("Message not complete")
return
self.lastMessageId = message[0]
js = message[1]
self.sso = SerializableStateObservation()
if js == "START":
self.sso.phase = Phase.START
elif js == "FINISH":
self.sso.phase = Phase.FINISH
else:
js.replace('"', '')
self.parse_json(js)
# self.sso = json.loads(js, object_hook=self.as_sso)
if self.sso.phase == "ACT":
if self.lastSsoType == LEARNING_SSO_TYPE.IMAGE or self.lastSsoType == "IMAGE" \
or self.lastSsoType == LEARNING_SSO_TYPE.BOTH or self.lastSsoType == "BOTH":
if self.sso.imageArray:
self.sso.convertBytesToPng(self.sso.imageArray)
except Exception as e:
logging.exception(e)
print("Line processing [FAILED]")
traceback.print_exc()
sys.exit()
"""
* Manages the start of the communication. It starts the whole process, and sets up the timer for the whole run.
"""
def start(self):
self.global_ect = ElapsedCpuTimer()
self.global_ect.setMaxTimeMillis(CompetitionParameters.TOTAL_LEARNING_TIME)
ect = ElapsedCpuTimer()
ect.setMaxTimeMillis(CompetitionParameters.START_TIME)
self.startAgent()
if ect.exceededMaxTime():
self.io.writeToServer(self.lastMessageId, "START_FAILED", self.LOG)
else:
self.io.writeToServer(self.lastMessageId, "START_DONE" + "#" + self.lastSsoType, self.LOG)
def startAgent(self):
try:
try:
module = importlib.import_module(self.agentName, __name__)
try:
self.player = getattr(module, 'Agent')()
self.lastSsoType = self.player.lastSsoType
except AttributeError:
logging.error('ERROR: Class does not exist')
traceback.print_exc()
sys.exit()
except ImportError:
logging.error('ERROR: Module does not exist')
traceback.print_exc()
sys.exit()
print("Agent startup [OK]")
except Exception as e:
logging.exception(e)
print("Agent startup [FAILED]")
traceback.print_exc()
sys.exit()
"""
* Manages the init of a game played.
"""
def init(self):
ect = ElapsedCpuTimer()
ect.setMaxTimeMillis(CompetitionParameters.INITIALIZATION_TIME)
self.player.init(self.sso, ect.copy())
self.lastSsoType = self.player.lastSsoType
if ect.exceededMaxTime():
self.io.writeToServer(self.lastMessageId, "INIT_FAILED", self.LOG)
else:
self.io.writeToServer(self.lastMessageId, "INIT_DONE" + "#" + self.lastSsoType, self.LOG)
"""
* Manages the action request for an agent. The agent is requested for an action,
* which is sent back to the server
"""
def act(self):
ect = ElapsedCpuTimer()
ect.setMaxTimeMillis(CompetitionParameters.ACTION_TIME)
action = str(self.player.act(self.sso, ect.copy()))
if (not action) or (action == ""):
action = "ACTION_NIL"
self.lastSsoType = self.player.lastSsoType
if ect.exceededMaxTime():
if ect.elapsedNanos() > CompetitionParameters.ACTION_TIME_DISQ*1000000:
self.io.writeToServer(self.lastMessageId, "END_OVERSPENT", self.LOG)
else:
self.io.writeToServer(self.lastMessageId, "ACTION_NIL" + "#" + self.lastSsoType, self.LOG)
else:
self.io.writeToServer(self.lastMessageId, action + "#" + self.lastSsoType, self.LOG)
"""
* Manages the aresult sent to the agent. The time limit for this call will be TOTAL_LEARNING_TIME
* or EXTRA_LEARNING_TIME if current global time is beyond TOTAL_LEARNING_TIME.
* The agent is assumed to return the next level to play. It will be ignored if
* a) All training levels have not been played yet (in which case the starting sequence 0-1-2 continues).
* b) It's outside the range [0,4] (in which case we play one at random)
* c) or we are in the validation phase (in which case the starting sequence 3-4 continues).
"""
def result(self):
ect = ElapsedCpuTimer()
if not self.global_ect.exceededMaxTime():
ect = self.global_ect.copy()
else:
ect.setMaxTimeMillis(CompetitionParameters.EXTRA_LEARNING_TIME)
nextLevel = self.player.result(self.sso, ect.copy())
# print "Result of a game at " + str(ect.remainingTimeMillis()) + "ms to the end."
self.lastSsoType = self.player.lastSsoType
if ect.exceededMaxTime():
self.io.writeToServer(self.lastMessageId, "END_OVERSPENT", self.LOG)
else:
if self.global_ect.exceededMaxTime():
end_message = "END_VALIDATION" if self.sso.isValidation else "END_TRAINING"
self.io.writeToServer(self.lastMessageId, end_message, self.LOG)
else:
self.io.writeToServer(self.lastMessageId, str(nextLevel) + "#" + self.lastSsoType, self.LOG)