| 1 | import logging
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| 2 | from random import randint,uniform
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| 3 | from time import time
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| 4 | from typing import cast
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| 5 |
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| 6 | from geniusweb.actions.Accept import Accept
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| 7 | from geniusweb.actions.Action import Action
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| 8 | from geniusweb.actions.LearningDone import LearningDone
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| 9 | from geniusweb.actions.Offer import Offer
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| 10 | from geniusweb.actions.PartyId import PartyId
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| 11 | from geniusweb.actions.Vote import Vote
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| 12 | from geniusweb.actions.Votes import Votes
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| 13 | from geniusweb.bidspace.AllBidsList import AllBidsList
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| 14 | from geniusweb.inform.ActionDone import ActionDone
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| 15 | from geniusweb.inform.Finished import Finished
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| 16 | from geniusweb.inform.Inform import Inform
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| 17 | from geniusweb.inform.OptIn import OptIn
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| 18 | from geniusweb.inform.Settings import Settings
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| 19 | from geniusweb.inform.Voting import Voting
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| 20 | from geniusweb.inform.YourTurn import YourTurn
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| 21 | from geniusweb.issuevalue.Bid import Bid
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| 22 | from geniusweb.issuevalue.Domain import Domain
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| 23 | from geniusweb.issuevalue.Value import Value
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| 24 | from geniusweb.issuevalue.ValueSet import ValueSet
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| 25 | from geniusweb.party.Capabilities import Capabilities
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| 26 | from geniusweb.party.DefaultParty import DefaultParty
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| 27 | from geniusweb.profile.utilityspace.UtilitySpace import UtilitySpace
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| 28 | from geniusweb.profile.utilityspace.LinearAdditiveUtilitySpace import (
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| 29 | LinearAdditiveUtilitySpace,
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| 30 | )
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| 31 | from geniusweb.profileconnection.ProfileConnectionFactory import (
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| 32 | ProfileConnectionFactory,
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| 33 | )
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| 34 | from geniusweb.progress.ProgressTime import ProgressTime
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| 35 | from geniusweb.references.Parameters import Parameters
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| 36 | from tudelft_utilities_logging.ReportToLogger import ReportToLogger
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| 37 |
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| 38 | from .utils.opponent_model import OpponentModel
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| 39 |
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| 40 | from geniusweb.progress.ProgressRounds import ProgressRounds
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| 41 | from geniusweb.utils import val
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| 42 | from geniusweb.profileconnection.ProfileInterface import ProfileInterface
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| 43 | from geniusweb.profile.utilityspace.LinearAdditive import LinearAdditive
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| 44 | from geniusweb.progress.Progress import Progress
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| 45 | from tudelft.utilities.immutablelist.ImmutableList import ImmutableList
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| 46 | from decimal import Decimal
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| 47 | import sys
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| 48 | from .extended_util_space import ExtendedUtilSpace
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| 49 | from tudelft_utilities_logging.Reporter import Reporter
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| 50 |
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| 51 |
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| 52 | class AgentFish(DefaultParty):
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| 53 | """
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| 54 | Template of a Python geniusweb agent.
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| 55 | """
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| 56 |
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| 57 | def __init__(self):
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| 58 | super().__init__()
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| 59 | self.logger: ReportToLogger = self.getReporter()
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| 60 |
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| 61 | self.domain: Domain = None
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| 62 | self.parameters: Parameters = None
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| 63 | self.profile: LinearAdditiveUtilitySpace = None
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| 64 | self.progress: ProgressTime = None
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| 65 | self.me: PartyId = None
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| 66 | self.other: str = None
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| 67 | self.settings: Settings = None
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| 68 | self.storage_dir: str = None
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| 69 |
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| 70 | self.last_received_bid: Bid = None
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| 71 | self.opponent_model: OpponentModel = None
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| 72 | self.logger.log(logging.INFO, "party is initialized")
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| 73 |
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| 74 | self.profileint: ProfileInterface = None # type:ignore
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| 75 | self.utilspace: LinearAdditive = None # type:ignore
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| 76 | self.extendedspace: ExtendedUtilSpace = None # type:ignore
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| 77 | self.e: float = 1.2
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| 78 | self.lastvotes: Votes = None # type:ignore
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| 79 | self.opponent_max = 0.0
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| 80 |
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| 81 | def notifyChange(self, data: Inform):
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| 82 | """MUST BE IMPLEMENTED
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| 83 | This is the entry point of all interaction with your agent after is has been initialised.
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| 84 | How to handle the received data is based on its class type.
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| 85 |
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| 86 | Args:
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| 87 | info (Inform): Contains either a request for action or information.
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| 88 | """
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| 89 |
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| 90 | # a Settings message is the first message that will be send to your
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| 91 | # agent containing all the information about the negotiation session.
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| 92 | if isinstance(data, Settings):
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| 93 | self.settings = cast(Settings, data)
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| 94 | self.me = self.settings.getID()
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| 95 |
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| 96 | # progress towards the deadline has to be tracked manually through the use of the Progress object
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| 97 | self.progress = self.settings.getProgress()
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| 98 |
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| 99 | self.parameters = self.settings.getParameters()
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| 100 | self.storage_dir = self.parameters.get("storage_dir")
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| 101 |
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| 102 | # the profile contains the preferences of the agent over the domain
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| 103 | profile_connection = ProfileConnectionFactory.create(
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| 104 | data.getProfile().getURI(), self.getReporter()
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| 105 | )
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| 106 | self.profile = profile_connection.getProfile()
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| 107 | self.domain = self.profile.getDomain()
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| 108 | profile_connection.close()
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| 109 |
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| 110 | # ActionDone informs you of an action (an offer or an accept)
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| 111 | # that is performed by one of the agents (including yourself).
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| 112 | elif isinstance(data, ActionDone):
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| 113 | action = cast(ActionDone, data).getAction()
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| 114 | actor = action.getActor()
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| 115 |
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| 116 | # ignore action if it is our action
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| 117 | if actor != self.me:
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| 118 | # obtain the name of the opponent, cutting of the position ID.
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| 119 | self.other = str(actor).rsplit("_", 1)[0]
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| 120 |
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| 121 | # process action done by opponent
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| 122 | self.opponent_action(action)
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| 123 | # YourTurn notifies you that it is your turn to act
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| 124 | elif isinstance(data, YourTurn):
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| 125 | # execute a turn
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| 126 | self.my_turn()
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| 127 |
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| 128 | # Finished will be send if the negotiation has ended (through agreement or deadline)
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| 129 | elif isinstance(data, Finished):
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| 130 | self.save_data()
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| 131 | # terminate the agent MUST BE CALLED
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| 132 | self.logger.log(logging.INFO, "party is terminating:")
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| 133 | super().terminate()
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| 134 | else:
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| 135 | self.logger.log(logging.WARNING, "Ignoring unknown info " + str(data))
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| 136 |
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| 137 | def getE(self) -> float:
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| 138 |
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| 139 | return self.e
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| 140 |
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| 141 | def getCapabilities(self) -> Capabilities:
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| 142 | """MUST BE IMPLEMENTED
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| 143 | Method to indicate to the protocol what the capabilities of this agent are.
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| 144 | Leave it as is for the ANL 2022 competition
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| 145 |
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| 146 | Returns:
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| 147 | Capabilities: Capabilities representation class
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| 148 | """
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| 149 | return Capabilities(
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| 150 | set(["SAOP"]),
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| 151 | set(["geniusweb.profile.utilityspace.LinearAdditive"]),
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| 152 | )
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| 153 |
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| 154 | def send_action(self, action: Action):
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| 155 | """Sends an action to the opponent(s)
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| 156 |
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| 157 | Args:
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| 158 | action (Action): action of this agent
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| 159 | """
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| 160 | self.getConnection().send(action)
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| 161 |
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| 162 | # give a description of your agent
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| 163 | def getDescription(self) -> str:
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| 164 | """MUST BE IMPLEMENTED
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| 165 | Returns a description of your agent. 1 or 2 sentences.
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| 166 |
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| 167 | Returns:
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| 168 | str: Agent description
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| 169 | """
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| 170 | return "Foot in the Door agent for the ANL 2022 competition"
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| 171 |
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| 172 | def opponent_action(self, action):
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| 173 | """Process an action that was received from the opponent.
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| 174 |
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| 175 | Args:
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| 176 | action (Action): action of opponent
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| 177 | """
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| 178 | # if it is an offer, set the last received bid
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| 179 | if isinstance(action, Offer):
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| 180 | # create opponent model if it was not yet initialised
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| 181 | if self.opponent_model is None:
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| 182 | self.opponent_model = OpponentModel(self.domain)
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| 183 |
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| 184 | bid = cast(Offer, action).getBid()
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| 185 |
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| 186 | # update opponent model with bid
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| 187 | self.opponent_model.update(bid)
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| 188 | # set bid as last received
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| 189 | self.last_received_bid = bid
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| 190 |
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| 191 | if self.opponent_max < self.profile.getUtility(bid):
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| 192 | self.opponent_max = self.profile.getUtility(bid)
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| 193 |
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| 194 | def my_turn(self):
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| 195 | """This method is called when it is our turn. It should decide upon an action
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| 196 | to perform and send this action to the opponent.
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| 197 | """
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| 198 | # check if the last received offer is good enough
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| 199 | self.updateUtilSpace()
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| 200 | if self.accept_condition(self.last_received_bid):
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| 201 | # if so, accept the offer
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| 202 | action = Accept(self.me, self.last_received_bid)
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| 203 | else:
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| 204 | # if not, find a bid to propose as counter offer
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| 205 | bid = self.makeBid()
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| 206 | action = Offer(self.me, bid)
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| 207 |
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| 208 | # send the action
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| 209 | self.send_action(action)
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| 210 |
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| 211 | def updateUtilSpace(self) -> LinearAdditive: # throws IOException
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| 212 | newutilspace = self.profile
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| 213 | if not newutilspace == self.utilspace:
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| 214 | self.utilspace = cast(LinearAdditive, newutilspace)
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| 215 | self.extendedspace = ExtendedUtilSpace(self.utilspace)
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| 216 | return self.utilspace
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| 217 |
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| 218 | def makeBid(self) -> Bid:
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| 219 | """
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| 220 | @return next possible bid with current target utility, or null if no such
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| 221 | bid.
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| 222 | """
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| 223 | time_to_deadline = self.progress.get(time() * 1000)
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| 224 |
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| 225 | utilityGoal = self.getUtilityGoal(
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| 226 | time_to_deadline,
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| 227 | self.getE(),
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| 228 | self.extendedspace.getMin(),
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| 229 | self.extendedspace.getMax(),
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| 230 | )
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| 231 | options: ImmutableList[Bid] = self.extendedspace.getBids(utilityGoal)
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| 232 | if options.size() == 0:
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| 233 | # if we can't find good bid, get max util bid....
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| 234 | options = self.extendedspace.getBids(self.extendedspace.getMax())
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| 235 | # pick a random one.
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| 236 | return options.get(randint(0, options.size() - 1))
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| 237 |
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| 238 | def getUtilityGoal(
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| 239 | self, t: float, e: float, minUtil: Decimal, maxUtil: Decimal
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| 240 | ) -> Decimal:
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| 241 | """
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| 242 | @param t the time in [0,1] where 0 means start of nego and 1 the
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| 243 | end of nego (absolute time/round limit)
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| 244 | @param e the e value that determinses how fast the party makes
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| 245 | concessions with time. Typically around 1. 0 means no
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| 246 | concession, 1 linear concession, >1 faster than linear
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| 247 | concession.
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| 248 | @param minUtil the minimum utility possible in our profile
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| 249 | @param maxUtil the maximum utility possible in our profile
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| 250 | @return the utility goal for this time and e value
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| 251 | """
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| 252 |
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| 253 | ft1 = Decimal(1)
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| 254 | if e != 0:
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| 255 | ft1 = round(Decimal(1 - pow(t, 1 / e)), 6) # defaults ROUND_HALF_UP
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| 256 | myoffer = max(min((maxUtil - (maxUtil - minUtil) * ft1), maxUtil), minUtil)
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| 257 | return max(myoffer, self.opponent_max)
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| 258 |
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| 259 |
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| 260 | def save_data(self):
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| 261 | """This method is called after the negotiation is finished. It can be used to store data
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| 262 | for learning capabilities. Note that no extensive calculations can be done within this method.
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| 263 | Taking too much time might result in your agent being killed, so use it for storage only.
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| 264 | """
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| 265 | data = "Data for learning (see README.md)"
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| 266 | with open(f"{self.storage_dir}/data.md", "w") as f:
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| 267 | f.write(data)
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| 268 |
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| 269 | ###########################################################################################
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| 270 | ################################## Example methods below ##################################
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| 271 | ###########################################################################################
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| 272 |
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| 273 | def accept_condition(self, bid: Bid) -> bool:
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| 274 | if bid is None:
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| 275 | return False
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| 276 |
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| 277 | # progress of the negotiation session between 0 and 1 (1 is deadline)
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| 278 | progress = self.progress.get(time() * 1000)
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| 279 |
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| 280 | # very basic approach that accepts if the offer is valued above 0.7 and
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| 281 | # 95% of the time towards the deadline has passed
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| 282 | maxAccept = 0.8
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| 283 | minAccept = 0.6
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| 284 | ft = round(Decimal(1 - progress), 6) # defaults ROUND_HALF_UP
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| 285 | acceptline = max(min((minAccept + (maxAccept - minAccept) * float(ft)), maxAccept), minAccept)
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| 286 | conditions = [
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| 287 | float(self.profile.getUtility(bid)) > acceptline,
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| 288 | progress > uniform(0.8, 0.95),
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| 289 | progress > 0.95,
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| 290 | ]
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| 291 | return all([any(conditions), progress > 0.1])
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| 292 |
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| 293 | def score_bid(self, bid: Bid, alpha: float = 0.95, eps: float = 0.1) -> float:
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| 294 | """Calculate heuristic score for a bid
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| 295 |
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| 296 | Args:
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| 297 | bid (Bid): Bid to score
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| 298 | alpha (float, optional): Trade-off factor between self interested and
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| 299 | altruistic behaviour. Defaults to 0.95.
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| 300 | eps (float, optional): Time pressure factor, balances between conceding
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| 301 | and Boulware behaviour over time. Defaults to 0.1.
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| 302 |
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| 303 | Returns:
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| 304 | float: score
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| 305 | """
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| 306 | progress = self.progress.get(time() * 1000)
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| 307 |
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| 308 | our_utility = float(self.profile.getUtility(bid))
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| 309 |
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| 310 | time_pressure = 1.0 - progress ** (1 / eps)
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| 311 | score = alpha * time_pressure * our_utility
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| 312 |
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| 313 | if self.opponent_model is not None:
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| 314 | opponent_utility = self.opponent_model.get_predicted_utility(bid)
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| 315 | opponent_score = (1.0 - alpha * time_pressure) * opponent_utility
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| 316 | score += opponent_score
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| 317 |
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| 318 | return score
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