1 | import datetime
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2 | import json
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3 | import logging
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4 | from math import floor
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5 | from random import randint
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6 | import time
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7 | from decimal import Decimal
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8 | from os import path
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9 | from typing import TypedDict, cast
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10 |
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11 | from geniusweb.actions.Accept import Accept
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12 | from geniusweb.actions.Action import Action
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13 | from geniusweb.actions.Offer import Offer
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14 | from geniusweb.actions.PartyId import PartyId
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15 | from geniusweb.bidspace.AllBidsList import AllBidsList
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16 | from geniusweb.inform.ActionDone import ActionDone
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17 | from geniusweb.inform.Finished import Finished
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18 | from geniusweb.inform.Inform import Inform
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19 | from geniusweb.inform.Settings import Settings
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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.party.Capabilities import Capabilities
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24 | from geniusweb.party.DefaultParty import DefaultParty
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25 | from geniusweb.issuevalue.Value import Value
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26 | from geniusweb.profile.utilityspace.LinearAdditiveUtilitySpace import (
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27 | LinearAdditiveUtilitySpace,
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28 | )
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29 | from geniusweb.profileconnection.ProfileConnectionFactory import (
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30 | ProfileConnectionFactory,
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31 | )
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32 | from geniusweb.progress.ProgressTime import ProgressTime
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33 | from geniusweb.references.Parameters import Parameters
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34 | from tudelft_utilities_logging.ReportToLogger import ReportToLogger
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35 | from .utils.logger import Logger
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36 |
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37 | from .utils.opponent_model import OpponentModel
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38 | from .utils.utils import bid_to_string
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39 |
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40 | class SessionData(TypedDict):
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41 | progressAtFinish: float
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42 | utilityAtFinish: float
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43 | didAccept: bool
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44 | isGood: bool
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45 | topBidsPercentage: float
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46 | forceAcceptAtRemainingTurns: float
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47 |
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48 | class DataDict(TypedDict):
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49 | sessions: list[SessionData]
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50 |
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51 | class DreamTeam109Agent(DefaultParty):
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52 |
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53 | def __init__(self):
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54 | super().__init__()
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55 | self.logger: Logger = Logger(self.getReporter(), id(self))
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56 |
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57 | self.domain: Domain = None
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58 | self.parameters: Parameters = None
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59 | self.profile: LinearAdditiveUtilitySpace = None
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60 | self.progress: ProgressTime = None
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61 | self.me: PartyId = None
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62 | self.other: PartyId = None
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63 | self.other_name: str = None
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64 | self.settings: Settings = None
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65 | self.storage_dir: str = None
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66 |
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67 | self.data_dict: DataDict = None
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68 |
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69 | self.last_received_bid: Bid = None
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70 | self.opponent_model: OpponentModel = None
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71 | self.all_bids: AllBidsList = None
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72 | self.bids_with_utilities: list[tuple[Bid, float]] = None
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73 | self.num_of_top_bids: int = 1
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74 | self.min_util: float = 0.9
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75 |
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76 | self.round_times: list[Decimal] = []
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77 | self.last_time = None
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78 | self.avg_time = None
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79 | self.utility_at_finish: float = 0
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80 | self.did_accept: bool = False
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81 | self.top_bids_percentage: float = 1 / 300
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82 | self.force_accept_at_remaining_turns: float = 1
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83 | self.force_accept_at_remaining_turns_light: float = 1
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84 | self.opponent_best_bid: Bid = None
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85 | self.logger.log(logging.INFO, "party is initialized")
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86 |
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87 | def notifyChange(self, data: Inform):
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88 | """MUST BE IMPLEMENTED
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89 | This is the entry point of all interaction with your agent after is has been initialised.
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90 | How to handle the received data is based on its class type.
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91 |
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92 | Args:
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93 | info (Inform): Contains either a request for action or information.
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94 | """
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95 |
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96 | # a Settings message is the first message that will be send to your
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97 | # agent containing all the information about the negotiation session.
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98 | if isinstance(data, Settings):
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99 | self.settings = cast(Settings, data)
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100 | self.me = self.settings.getID()
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101 |
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102 | # progress towards the deadline has to be tracked manually through the use of the Progress object
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103 | self.progress = self.settings.getProgress()
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104 |
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105 | self.parameters = self.settings.getParameters()
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106 | self.storage_dir = self.parameters.get("storage_dir")
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107 |
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108 | # the profile contains the preferences of the agent over the domain
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109 | profile_connection = ProfileConnectionFactory.create(
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110 | data.getProfile().getURI(), self.getReporter()
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111 | )
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112 | self.profile = profile_connection.getProfile()
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113 | self.domain = self.profile.getDomain()
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114 | # compose a list of all possible bids
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115 | self.all_bids = AllBidsList(self.domain)
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116 |
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117 | profile_connection.close()
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118 |
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119 | # ActionDone informs you of an action (an offer or an accept)
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120 | # that is performed by one of the agents (including yourself).
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121 | elif isinstance(data, ActionDone):
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122 | action = cast(ActionDone, data).getAction()
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123 | actor = action.getActor()
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124 |
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125 | # ignore action if it is our action
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126 | if actor != self.me:
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127 | if self.other is None:
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128 | self.other = actor
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129 | # obtain the name of the opponent, cutting of the position ID.
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130 | self.other_name = str(actor).rsplit("_", 1)[0]
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131 | self.attempt_load_data()
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132 | self.learn_from_past_sessions(self.data_dict["sessions"])
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133 |
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134 | # process action done by opponent
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135 | self.opponent_action(action)
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136 | # YourTurn notifies you that it is your turn to act
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137 | elif isinstance(data, YourTurn):
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138 | # execute a turn
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139 | self.my_turn()
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140 |
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141 | # Finished will be send if the negotiation has ended (through agreement or deadline)
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142 | elif isinstance(data, Finished):
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143 | agreements = cast(Finished, data).getAgreements()
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144 | if len(agreements.getMap()) > 0:
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145 | agreed_bid = agreements.getMap()[self.me]
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146 | self.logger.log(logging.INFO, "agreed_bid = " + bid_to_string(agreed_bid))
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147 | self.utility_at_finish = float(self.profile.getUtility(agreed_bid))
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148 | else:
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149 | self.logger.log(logging.INFO, "no agreed bid (timeout? some agent crashed?)")
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150 |
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151 | self.update_data_dict()
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152 | self.save_data()
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153 |
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154 | # terminate the agent MUST BE CALLED
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155 | self.logger.log(logging.INFO, "party is terminating")
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156 | super().terminate()
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157 | else:
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158 | self.logger.log(logging.WARNING, "Ignoring unknown info " + str(data))
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159 |
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160 | def getCapabilities(self) -> Capabilities:
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161 | """MUST BE IMPLEMENTED
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162 | Method to indicate to the protocol what the capabilities of this agent are.
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163 | Leave it as is for the ANL 2022 competition
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164 |
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165 | Returns:
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166 | Capabilities: Capabilities representation class
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167 | """
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168 | return Capabilities(
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169 | set(["SAOP"]),
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170 | set(["geniusweb.profile.utilityspace.LinearAdditive"]),
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171 | )
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172 |
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173 | def send_action(self, action: Action):
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174 | """Sends an action to the opponent(s)
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175 |
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176 | Args:
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177 | action (Action): action of this agent
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178 | """
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179 | self.getConnection().send(action)
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180 |
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181 | # give a description of your agent
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182 | def getDescription(self) -> str:
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183 | """MUST BE IMPLEMENTED
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184 | Returns a description of your agent. 1 or 2 sentences.
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185 |
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186 | Returns:
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187 | str: Agent description
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188 | """
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189 | return "DreamTeam109 agent for the ANL 2022 competition"
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190 |
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191 | def opponent_action(self, action):
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192 | """Process an action that was received from the opponent.
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193 |
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194 | Args:
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195 | action (Action): action of opponent
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196 | """
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197 | # if it is an offer, set the last received bid
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198 | if isinstance(action, Offer):
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199 | # create opponent model if it was not yet initialised
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200 | if self.opponent_model is None:
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201 | self.opponent_model = OpponentModel(self.domain, self.logger)
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202 |
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203 | bid = cast(Offer, action).getBid()
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204 |
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205 | # update opponent model with bid
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206 | self.opponent_model.update(bid)
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207 | # set bid as last received
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208 | self.last_received_bid = bid
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209 |
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210 | if self.opponent_best_bid is None:
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211 | self.opponent_best_bid = bid
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212 | elif self.profile.getUtility(bid) > self.profile.getUtility(self.opponent_best_bid):
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213 | self.opponent_best_bid = bid
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214 |
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215 | def my_turn(self):
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216 | """This method is called when it is our turn. It should decide upon an action
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217 | to perform and send this action to the opponent.
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218 | """
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219 |
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220 | # For calculating average time per round
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221 | if self.last_time is not None:
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222 | self.round_times.append(datetime.datetime.now().timestamp() - self.last_time.timestamp())
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223 | self.avg_time = sum(self.round_times[-3:])/3
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224 | self.last_time = datetime.datetime.now()
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225 |
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226 | # check if the last received offer is good enough
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227 | # if self.accept_condition(self.last_received_bid):
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228 | if self.accept_condition(self.last_received_bid):
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229 | self.logger.log(logging.INFO, "accepting bid : " + bid_to_string(self.last_received_bid))
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230 | # if so, accept the offer
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231 | action = Accept(self.me, self.last_received_bid)
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232 | self.did_accept = True
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233 | else:
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234 | # if not, find a bid to propose as counter offer
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235 | bid = self.find_bid()
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236 | self.logger.log(logging.INFO, "Offering bid : " + bid_to_string(bid))
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237 | action = Offer(self.me, bid)
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238 |
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239 | # send the action
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240 | self.send_action(action)
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241 |
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242 | def get_data_file_path(self) -> str:
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243 | return f"{self.storage_dir}/{self.other_name}.json"
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244 |
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245 | def attempt_load_data(self):
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246 | if path.exists(self.get_data_file_path()):
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247 | with open(self.get_data_file_path()) as f:
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248 | self.data_dict = json.load(f)
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249 | self.logger.log(logging.INFO, "Loaded previous data about opponent: " + self.other_name)
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250 | self.logger.log(logging.INFO, "data_dict = " + str(self.data_dict))
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251 | else:
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252 | self.logger.log(logging.WARN, "No previous data saved about opponent: " + self.other_name)
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253 | # initialize an empty data dict
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254 | self.data_dict = {
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255 | "sessions": []
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256 | }
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257 |
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258 | def update_data_dict(self):
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259 | # NOTE: We shouldn't do extensive calculations in this method (see note in save_data method)
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260 |
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261 | progress_at_finish = self.progress.get(time.time() * 1000)
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262 |
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263 | session_data: SessionData = {
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264 | "progressAtFinish": progress_at_finish,
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265 | "utilityAtFinish": self.utility_at_finish,
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266 | "didAccept": self.did_accept,
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267 | "isGood": self.utility_at_finish >= self.min_util,
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268 | "topBidsPercentage": self.top_bids_percentage,
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269 | "forceAcceptAtRemainingTurns": self.force_accept_at_remaining_turns
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270 | }
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271 |
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272 | self.logger.log(logging.INFO, "Updating data dict with session data: " + str(session_data))
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273 | self.data_dict["sessions"].append(session_data)
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274 |
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275 | def save_data(self):
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276 | """This method is called after the negotiation is finished. It can be used to store data
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277 | for learning capabilities. Note that no extensive calculations can be done within this method.
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278 | Taking too much time might result in your agent being killed, so use it for storage only.
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279 | """
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280 | if self.other_name is None:
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281 | self.logger.log(logging.WARNING, "Opponent name was not set; skipping save data")
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282 | else:
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283 | json_data = json.dumps(self.data_dict, sort_keys=True, indent=4)
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284 | with open(self.get_data_file_path(), "w") as f:
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285 | f.write(json_data)
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286 | self.logger.log(logging.INFO, "Saved data about opponent: " + self.other_name)
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287 |
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288 | def learn_from_past_sessions(self, sessions: list[SessionData]):
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289 | accept_levels = [0, 0, 1, 1.1]
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290 | light_accept_levels = [0, 1, 1.1]
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291 | top_bids_levels = [1 / 300, 1 / 100, 1 / 30]
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292 |
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293 | self.force_accept_at_remaining_turns = accept_levels[min(len(accept_levels) - 1, len(list(filter(self.did_fail, sessions))))]
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294 | self.force_accept_at_remaining_turns_light = light_accept_levels[min(len(light_accept_levels) - 1, len(list(filter(self.did_fail, sessions))))]
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295 | self.top_bids_percentage = top_bids_levels[min(len(top_bids_levels) - 1, len(list(filter(self.low_utility, sessions))))]
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296 |
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297 | def did_fail(self, session: SessionData):
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298 | return session["utilityAtFinish"] == 0
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299 |
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300 | def low_utility(self, session: SessionData):
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301 | return session["utilityAtFinish"] < 0.5
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302 |
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303 | def accept_condition(self, bid: Bid) -> bool:
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304 | if bid is None:
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305 | return False
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306 |
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307 | # progress of the negotiation session between 0 and 1 (1 is deadline)
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308 | progress = self.progress.get(time.time() * 1000)
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309 | threshold = 0.98
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310 | light_threshold = 0.95
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311 |
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312 | if self.avg_time is not None:
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313 | threshold = 1 - 1000 * self.force_accept_at_remaining_turns * self.avg_time / self.progress.getDuration()
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314 | light_threshold = 1 - 5000 * self.force_accept_at_remaining_turns_light * self.avg_time / self.progress.getDuration()
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315 |
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316 | conditions = [
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317 | self.profile.getUtility(bid) >= self.min_util,
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318 | progress >= threshold,
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319 | progress > light_threshold and self.profile.getUtility(bid) >= self.bids_with_utilities[floor(len(self.bids_with_utilities) / 5) - 1][1]
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320 | ]
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321 | return any(conditions)
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322 |
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323 | def find_bid(self) -> Bid:
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324 | self.logger.log(logging.INFO, "finding bid...")
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325 |
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326 | num_of_bids = self.all_bids.size()
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327 |
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328 | if self.bids_with_utilities is None:
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329 | self.logger.log(logging.INFO, "calculating bids_with_utilities...")
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330 | startTime = time.time()
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331 | self.bids_with_utilities = []
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332 |
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333 | for index in range(num_of_bids):
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334 | bid = self.all_bids.get(index)
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335 | bid_utility = float(self.profile.getUtility(bid))
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336 | self.bids_with_utilities.append((bid, bid_utility))
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337 |
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338 | self.bids_with_utilities.sort(key=lambda tup: tup[1], reverse=True)
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339 |
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340 | endTime = time.time()
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341 | self.logger.log(logging.INFO, "calculating bids_with_utilities took (in seconds): " + str(endTime - startTime))
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342 |
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343 | self.num_of_top_bids = max(5, num_of_bids * self.top_bids_percentage)
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344 |
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345 | if (self.last_received_bid is None):
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346 | return self.bids_with_utilities[0][0]
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347 |
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348 | progress = self.progress.get(time.time() * 1000)
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349 | light_threshold = 0.95
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350 |
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351 | if self.avg_time is not None:
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352 | light_threshold = 1 - 5000 * self.force_accept_at_remaining_turns_light * self.avg_time / self.progress.getDuration()
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353 |
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354 | if (progress > light_threshold):
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355 | return self.opponent_best_bid
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356 |
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357 | if (num_of_bids < self.num_of_top_bids):
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358 | self.num_of_top_bids = num_of_bids / 2
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359 |
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360 | self.min_util = self.bids_with_utilities[floor(self.num_of_top_bids) - 1][1]
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361 | self.logger.log(logging.INFO, "min_util = " + str(self.min_util))
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362 |
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363 | picked_ranking = randint(0, floor(self.num_of_top_bids) - 1)
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364 |
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365 | return self.bids_with_utilities[picked_ranking][0]
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366 |
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367 | def score_bid(self, bid: Bid, alpha: float = 0.95, eps: float = 0.1) -> float:
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368 | """Calculate heuristic score for a bid
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369 |
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370 | Args:
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371 | bid (Bid): Bid to score
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372 | alpha (float, optional): Trade-off factor between self interested and
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373 | altruistic behaviour. Defaults to 0.95.
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374 | eps (float, optional): Time pressure factor, balances between conceding
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375 | and Boulware behaviour over time. Defaults to 0.1.
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376 |
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377 | Returns:
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378 | float: score
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379 | """
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380 | progress = self.progress.get(time.time() * 1000)
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381 |
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382 | our_utility = float(self.profile.getUtility(bid))
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383 |
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384 | time_pressure = 1.0 - progress ** (1 / eps)
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385 | score = alpha * time_pressure * our_utility
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386 |
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387 | if self.opponent_model is not None:
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388 | opponent_utility = self.opponent_model.get_predicted_utility(bid)
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389 | opponent_score = (1.0 - alpha * time_pressure) * opponent_utility
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390 | score += opponent_score
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391 |
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392 | return score
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