Beispiel #1
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def test_marginal_utility():
    """Test the marginal utility."""
    currency_holdings = {"FET": 100}
    utility_params = {"good_id": 20.0}
    exchange_params = {"FET": 10.0}
    good_holdings = {"good_id": 2}
    tx_fee = 9
    preferences = Preferences()
    preferences.init(
        utility_params_by_good_id=utility_params,
        exchange_params_by_currency_id=exchange_params,
        tx_fee=tx_fee,
    )
    ownership_state = OwnershipState()
    delta_good_holdings = {"good_id": 1}
    delta_currency_holdings = {"FET": -5}
    ownership_state.init(
        amount_by_currency_id=currency_holdings,
        quantities_by_good_id=good_holdings,
    )
    marginal_utility = preferences.marginal_utility(
        ownership_state=ownership_state,
        delta_quantities_by_good_id=delta_good_holdings,
        delta_amount_by_currency_id=delta_currency_holdings,
    )
    assert marginal_utility is not None, "Marginal utility must not be none."
Beispiel #2
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def test_linear_utility():
    """Calculate the linear_utility and checks that it is not none."""
    currency_holdings = {"FET": 100}
    utility_params = {"good_id": 20.0}
    exchange_params = {"FET": 10.0}
    tx_fee = 9
    preferences = Preferences(
        utility_params_by_good_id=utility_params,
        exchange_params_by_currency_id=exchange_params,
        tx_fee=tx_fee,
    )
    linear_utility = preferences.linear_utility(
        amount_by_currency_id=currency_holdings)
    assert linear_utility is not None, "Linear utility must not be none."
Beispiel #3
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def test_logarithmic_utility():
    """Calculate the logarithmic utility and checks that it is not none.."""
    utility_params = {"good_id": 20.0}
    exchange_params = {"FET": 10.0}
    good_holdings = {"good_id": 2}
    tx_fee = 9
    preferences = Preferences(
        utility_params_by_good_id=utility_params,
        exchange_params_by_currency_id=exchange_params,
        tx_fee=tx_fee,
    )
    log_utility = preferences.logarithmic_utility(
        quantities_by_good_id=good_holdings)
    assert log_utility is not None, "Log_utility must not be none."
Beispiel #4
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    def is_profitable_transaction(self, preferences: Preferences,
                                  ownership_state_after_locks: OwnershipState,
                                  transaction_msg: TransactionMessage) -> bool:
        """
        Check if a transaction is profitable.

        Is it a profitable transaction?
        - apply all the locks for role.
        - check if the transaction is consistent with the locks (enough money/holdings)
        - check that we gain score.

        :param preferences: the preferences of the agent
        :param ownership_state_after_locks: the ownership state after the transaction messages applied.
        :param transaction_msg: the transaction_msg

        :return: True if the transaction is good (as stated above), False otherwise.
        """
        if not ownership_state_after_locks.check_transaction_is_consistent(
                transaction_msg):
            return False
        proposal_delta_score = preferences.get_score_diff_from_transaction(
            ownership_state_after_locks, transaction_msg)
        if proposal_delta_score >= 0:
            return True
        else:
            return False
Beispiel #5
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def test_preferences_properties():
    """Test the properties of the preferences class."""
    preferences = Preferences()
    with pytest.raises(AssertionError):
        preferences.exchange_params_by_currency_id
    with pytest.raises(AssertionError):
        preferences.utility_params_by_good_id
Beispiel #6
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    def setup_class(cls):
        """Initialise the decision maker."""
        cls._patch_logger()
        cls.multiplexer = Multiplexer([_make_dummy_connection()])
        private_key_pem_path = os.path.join(CUR_PATH, "data",
                                            "fet_private_key.txt")
        eth_private_key_pem_path = os.path.join(CUR_PATH, "data",
                                                "fet_private_key.txt")
        cls.wallet = Wallet({
            FETCHAI: private_key_pem_path,
            ETHEREUM: eth_private_key_pem_path
        })
        cls.ledger_apis = LedgerApis({FETCHAI: DEFAULT_FETCHAI_CONFIG},
                                     FETCHAI)
        cls.agent_name = "test"
        cls.identity = Identity(cls.agent_name,
                                addresses=cls.wallet.addresses,
                                default_address_key=FETCHAI)
        cls.ownership_state = OwnershipState()
        cls.preferences = Preferences()
        cls.decision_maker = DecisionMaker(
            identity=cls.identity,
            wallet=cls.wallet,
            ledger_apis=cls.ledger_apis,
        )
        cls.multiplexer.connect()

        cls.tx_id = "transaction0"
        cls.tx_sender_addr = "agent_1"
        cls.tx_counterparty_addr = "pk"
        cls.info = {"some_info_key": "some_info_value"}
        cls.ledger_id = "fetchai"

        cls.decision_maker.start()
Beispiel #7
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    def setup_class(cls):
        """Initialise the decision maker."""
        cls._patch_logger()
        cls.multiplexer = Multiplexer(
            [DummyConnection(connection_id=DUMMY_CONNECTION_PUBLIC_ID)])
        cls.outbox = OutBox(cls.multiplexer)
        private_key_pem_path = os.path.join(CUR_PATH, "data",
                                            "fet_private_key.txt")
        eth_private_key_pem_path = os.path.join(CUR_PATH, "data",
                                                "fet_private_key.txt")
        cls.wallet = Wallet({
            FETCHAI: private_key_pem_path,
            ETHEREUM: eth_private_key_pem_path
        })
        cls.ledger_apis = LedgerApis({FETCHAI: DEFAULT_FETCHAI_CONFIG},
                                     FETCHAI)
        cls.agent_name = "test"
        cls.ownership_state = OwnershipState()
        cls.preferences = Preferences()
        cls.decision_maker = DecisionMaker(
            agent_name=cls.agent_name,
            max_reactions=MAX_REACTIONS,
            outbox=cls.outbox,
            wallet=cls.wallet,
            ledger_apis=cls.ledger_apis,
        )
        cls.multiplexer.connect()

        cls.tx_id = "transaction0"
        cls.tx_sender_addr = "agent_1"
        cls.tx_counterparty_addr = "pk"
        cls.info = {"some_info_key": "some_info_value"}
        cls.ledger_id = "fetchai"

        cls.decision_maker.start()
Beispiel #8
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def test_preferences_init():
    """Test the preferences init()."""
    utility_params = {"good_id": 20.0}
    exchange_params = {"FET": 10.0}
    tx_fee = 9
    preferences = Preferences()

    preferences.init(
        exchange_params_by_currency_id=exchange_params,
        utility_params_by_good_id=utility_params,
        tx_fee=tx_fee,
    )
    assert preferences.utility_params_by_good_id is not None
    assert preferences.exchange_params_by_currency_id is not None
    assert preferences.transaction_fees["seller_tx_fee"] == 4
    assert preferences.transaction_fees["buyer_tx_fee"] == 5
    assert preferences.is_initialized
Beispiel #9
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    def _generate_candidate_proposals(
            self, preferences: Preferences,
            ownership_state_after_locks: OwnershipState, is_seller: bool,
            tx_fee: float):
        """
        Generate proposals from the agent in the role of seller/buyer.

        :param preferences: the preferences of the agent
        :param ownership_state_after_locks: the ownership state after the transaction messages applied.
        :param is_seller: the bool indicating whether the agent is a seller.

        :return: a list of proposals in Description form
        """
        good_pbk_to_quantities = self._supplied_goods(
            ownership_state_after_locks.good_holdings
        ) if is_seller else self._demanded_goods(
            ownership_state_after_locks.good_holdings)
        share_of_tx_fee = round(tx_fee / 2.0, 2)
        nil_proposal_dict = {
            good_pbk: 0
            for good_pbk, quantity in good_pbk_to_quantities
        }  # type: Dict[str, int]
        proposals = []
        for good_pbk, quantity in good_pbk_to_quantities:
            if is_seller and quantity == 0: continue
            proposal_dict = nil_proposal_dict
            proposal_dict[good_pbk] = 1
            proposal = build_goods_description(
                good_pbk_to_quantities=proposal_dict, is_supply=is_seller)
            if is_seller:
                delta_good_holdings = {
                    good_pbk: quantity * -1
                    for good_pbk, quantity in proposal_dict.items()
                }  # type: Dict[str, int]
            else:
                delta_good_holdings = proposal_dict
            marginal_utility_from_delta_good_holdings = preferences.marginal_utility(
                ownership_state_after_locks, delta_good_holdings)
            switch = -1 if is_seller else 1
            breakeven_price = round(marginal_utility_from_delta_good_holdings,
                                    2) * switch
            if self.is_world_modeling:
                pass
                # assert self.world_state is not None, "Need to provide world state if is_world_modeling=True."
                # proposal.values["price"] = world_state.expected_price(good_pbk, round(marginal_utility_from_delta_holdings, 2), is_seller, share_of_tx_fee)
            else:
                if is_seller:
                    proposal.values[
                        "price"] = breakeven_price + share_of_tx_fee + ROUNDING_ADJUSTMENT
                else:
                    proposal.values[
                        "price"] = breakeven_price - share_of_tx_fee - ROUNDING_ADJUSTMENT
            proposal.values["seller_tx_fee"] = share_of_tx_fee
            proposal.values["buyer_tx_fee"] = share_of_tx_fee
            if not proposal.values["price"] > 0: continue
            proposals.append(proposal)
        return proposals
Beispiel #10
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def test_score_diff_from_transaction():
    """Test the difference between the scores."""
    good_holdings = {"good_id": 2}
    currency_holdings = {"FET": 100}
    utility_params = {"good_id": 20.0}
    exchange_params = {"FET": 10.0}
    tx_fee = 3
    ownership_state = OwnershipState(amount_by_currency_id=currency_holdings,
                                     quantities_by_good_id=good_holdings)
    preferences = Preferences(
        utility_params_by_good_id=utility_params,
        exchange_params_by_currency_id=exchange_params,
        tx_fee=tx_fee,
    )
    tx_message = TransactionMessage(
        performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT,
        skill_callback_ids=[PublicId(AUTHOR, "a_skill", "0.1.0")],
        tx_id="transaction0",
        tx_sender_addr="agent_1",
        tx_counterparty_addr="pk",
        tx_amount_by_currency_id={"FET": -20},
        tx_sender_fee=preferences.transaction_fees["seller_tx_fee"],
        tx_counterparty_fee=preferences.transaction_fees["buyer_tx_fee"],
        tx_quantities_by_good_id={"good_id": 10},
        info={"some_info_key": "some_info_value"},
        ledger_id="fetchai",
        tx_nonce="transaction nonce",
    )

    cur_score = preferences.utility(quantities_by_good_id=good_holdings,
                                    amount_by_currency_id=currency_holdings)
    new_state = ownership_state.apply_transactions([tx_message])
    new_score = preferences.utility(
        quantities_by_good_id=new_state.quantities_by_good_id,
        amount_by_currency_id=new_state.amount_by_currency_id,
    )
    dif_scores = new_score - cur_score
    score_difference = preferences.utility_diff_from_transaction(
        ownership_state=ownership_state, tx_message=tx_message)
    assert (
        score_difference == dif_scores
    ), "The calculated difference must be equal to the return difference from the function."
Beispiel #11
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def test_utility():
    """Calculate the score."""
    utility_params = {"good_id": 20.0}
    exchange_params = {"FET": 10.0}
    currency_holdings = {"FET": 100}
    good_holdings = {"good_id": 2}
    tx_fee = 9
    preferences = Preferences(
        utility_params_by_good_id=utility_params,
        exchange_params_by_currency_id=exchange_params,
        tx_fee=tx_fee,
    )
    score = preferences.utility(
        quantities_by_good_id=good_holdings,
        amount_by_currency_id=currency_holdings,
    )
    linear_utility = preferences.linear_utility(
        amount_by_currency_id=currency_holdings)
    log_utility = preferences.logarithmic_utility(
        quantities_by_good_id=good_holdings)
    assert (
        score == log_utility + linear_utility
    ), "The score must be equal to the sum of log_utility and linear_utility."
Beispiel #12
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 def setup_class(cls):
     """Initialise the decision maker."""
     cls._patch_logger()
     cls.multiplexer = Multiplexer([DummyConnection()])
     cls.outbox = OutBox(cls.multiplexer)
     private_key_pem_path = os.path.join(CUR_PATH, "data",
                                         "fet_private_key.txt")
     cls.wallet = Wallet({FETCHAI: private_key_pem_path})
     cls.ledger_apis = LedgerApis({FETCHAI: DEFAULT_FETCHAI_CONFIG})
     cls.agent_name = "test"
     cls.ownership_state = OwnershipState()
     cls.preferences = Preferences()
     cls.decision_maker = DecisionMaker(agent_name=cls.agent_name,
                                        max_reactions=MAX_REACTIONS,
                                        outbox=cls.outbox,
                                        wallet=cls.wallet,
                                        ledger_apis=cls.ledger_apis)
     cls.multiplexer.connect()
Beispiel #13
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 def setup_class(cls):
     """Initialise the class."""
     cls.ownership_state = OwnershipState()
     cls.preferences = Preferences()