Trade between two AEAs
This guide is a step-by-step introduction to building AEAs that advertise their static and dynamic data, find other AEAs with required data, negotiate terms of trade, and carry out trades via ledger transactions.
If you simply want to run the resulting AEAs go here.
Dependencies (Required)
Follow the Preliminaries and Installation sections from the AEA quick start.
Reference code (Optional)
This step-by-step guide goes through the creation of two AEAs which are already developed by Fetch.ai. You can get the finished AEAs, and compare your code against them, by following the next steps:
aea fetch fetchai/generic_seller:0.29.0
cd generic_seller
aea eject skill fetchai/generic_seller:0.28.0
cd ..
aea fetch fetchai/generic_buyer:0.30.0
cd generic_buyer
aea eject skill fetchai/generic_buyer:0.27.0
cd ..
Simplification step
To keep file paths consistent with the reference code, we suggest you initialize your local author as fetchai for the purpose of this demo only:
Generic Seller AEA
Step 1: Create the AEA
Create a new AEA by typing the following command in the terminal:
Our newly created AEA is inside the current working directory. Let’s create our new skill that will handle the sale of data. Type the following command:The scaffold skill command creates the correct structure for a new skill inside our AEA project. You can locate the newly created skill under the "skills" folder (my_generic_seller/skills/generic_seller/), and it must contain the following files:
__init__.pybehaviours.pyhandlers.pymy_model.pyskills.yaml
Step 2: Create the behaviour
A Behaviour class contains the business logic specific to actions initiated by the AEA, rather than reactions to other events.
Open the behaviours.py file (my_generic_seller/skills/generic_seller/behaviours.py) and replace the stub code with the following:
from typing import Any, Optional, cast
from aea.helpers.search.models import Description
from aea.skills.behaviours import TickerBehaviour
from packages.fetchai.connections.ledger.base import (
CONNECTION_ID as LEDGER_CONNECTION_PUBLIC_ID,
)
from packages.fetchai.protocols.ledger_api.message import LedgerApiMessage
from packages.fetchai.protocols.oef_search.message import OefSearchMessage
from packages.fetchai.skills.generic_seller.dialogues import (
LedgerApiDialogues,
OefSearchDialogues,
)
from packages.fetchai.skills.generic_seller.strategy import GenericStrategy
DEFAULT_SERVICES_INTERVAL = 60.0
DEFAULT_MAX_SOEF_REGISTRATION_RETRIES = 5
LEDGER_API_ADDRESS = str(LEDGER_CONNECTION_PUBLIC_ID)
class GenericServiceRegistrationBehaviour(TickerBehaviour):
"""This class implements a behaviour."""
def __init__(self, **kwargs: Any):
"""Initialise the behaviour."""
services_interval = kwargs.pop(
"services_interval", DEFAULT_SERVICES_INTERVAL
) # type: int
self._max_soef_registration_retries = kwargs.pop(
"max_soef_registration_retries", DEFAULT_MAX_SOEF_REGISTRATION_RETRIES
) # type: int
super().__init__(tick_interval=services_interval, **kwargs)
self.failed_registration_msg = None # type: Optional[OefSearchMessage]
self._nb_retries = 0
def setup(self) -> None:
"""Implement the setup."""
strategy = cast(GenericStrategy, self.context.strategy)
if strategy.is_ledger_tx:
ledger_api_dialogues = cast(
LedgerApiDialogues, self.context.ledger_api_dialogues
)
ledger_api_msg, _ = ledger_api_dialogues.create(
counterparty=LEDGER_API_ADDRESS,
performative=LedgerApiMessage.Performative.GET_BALANCE,
ledger_id=strategy.ledger_id,
address=cast(str, self.context.agent_addresses.get(strategy.ledger_id)),
)
self.context.outbox.put_message(message=ledger_api_msg)
self._register_agent()
def act(self) -> None:
"""Implement the act."""
self._retry_failed_registration()
def teardown(self) -> None:
"""Implement the task teardown."""
self._unregister_service()
self._unregister_agent()
def _retry_failed_registration(self) -> None:
"""Retry a failed registration."""
if self.failed_registration_msg is not None:
self._nb_retries += 1
if self._nb_retries > self._max_soef_registration_retries:
self.context.is_active = False
return
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_msg, _ = oef_search_dialogues.create(
counterparty=self.failed_registration_msg.to,
performative=self.failed_registration_msg.performative,
service_description=self.failed_registration_msg.service_description,
)
self.context.outbox.put_message(message=oef_search_msg)
self.context.logger.info(
f"Retrying registration on SOEF. Retry {self._nb_retries} out of {self._max_soef_registration_retries}."
)
self.failed_registration_msg = None
def _register(self, description: Description, logger_msg: str) -> None:
"""
Register something on the SOEF.
:param description: the description of what is being registered
:param logger_msg: the logger message to print after the registration
"""
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_msg, _ = oef_search_dialogues.create(
counterparty=self.context.search_service_address,
performative=OefSearchMessage.Performative.REGISTER_SERVICE,
service_description=description,
)
self.context.outbox.put_message(message=oef_search_msg)
self.context.logger.info(logger_msg)
def _register_agent(self) -> None:
"""Register the agent's location."""
strategy = cast(GenericStrategy, self.context.strategy)
description = strategy.get_location_description()
self._register(description, "registering agent on SOEF.")
def register_service(self) -> None:
"""Register the agent's service."""
strategy = cast(GenericStrategy, self.context.strategy)
description = strategy.get_register_service_description()
self._register(description, "registering agent's service on the SOEF.")
def register_genus(self) -> None:
"""Register the agent's personality genus."""
strategy = cast(GenericStrategy, self.context.strategy)
description = strategy.get_register_personality_description()
self._register(
description, "registering agent's personality genus on the SOEF."
)
def register_classification(self) -> None:
"""Register the agent's personality classification."""
strategy = cast(GenericStrategy, self.context.strategy)
description = strategy.get_register_classification_description()
self._register(
description, "registering agent's personality classification on the SOEF."
)
def _unregister_service(self) -> None:
"""Unregister service from the SOEF."""
strategy = cast(GenericStrategy, self.context.strategy)
description = strategy.get_unregister_service_description()
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_msg, _ = oef_search_dialogues.create(
counterparty=self.context.search_service_address,
performative=OefSearchMessage.Performative.UNREGISTER_SERVICE,
service_description=description,
)
self.context.outbox.put_message(message=oef_search_msg)
self.context.logger.info("unregistering service from SOEF.")
def _unregister_agent(self) -> None:
"""Unregister agent from the SOEF."""
strategy = cast(GenericStrategy, self.context.strategy)
description = strategy.get_location_description()
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_msg, _ = oef_search_dialogues.create(
counterparty=self.context.search_service_address,
performative=OefSearchMessage.Performative.UNREGISTER_SERVICE,
service_description=description,
)
self.context.outbox.put_message(message=oef_search_msg)
self.context.logger.info("unregistering agent from SOEF.")
This TickerBehaviour registers (see setup method) and deregisters (see teardown method) our AEA’s service on the SOEF search node at regular tick intervals (here 60 seconds). By registering, the AEA becomes discoverable to other AEAs.
In setup, prior to registrations, we send a message to the ledger connection to check the account balance for the AEA's address on the configured ledger.
Step 3: Create the handler
So far, we have tasked the AEA with sending register/unregister requests to the SOEF search node. However at present, the AEA has no way of handling the responses it receives from the search node, or in fact messages sent by any other AEA.
We have to specify the logic to negotiate with another AEA based on the strategy we want our AEA to follow. The following diagram illustrates the negotiation flow that we want this AEA to use, as well as interactions with a search node and the blockchain between a seller_AEA and a buyer_AEA.
sequenceDiagram
participant Search
participant Buyer_AEA
participant Seller_AEA
participant Blockchain
activate Buyer_AEA
activate Search
activate Seller_AEA
activate Blockchain
Seller_AEA->>Search: register_service
Buyer_AEA->>Search: search
Search-->>Buyer_AEA: list_of_agents
Buyer_AEA->>Seller_AEA: call_for_proposal
Seller_AEA->>Buyer_AEA: propose
Buyer_AEA->>Seller_AEA: accept
Seller_AEA->>Buyer_AEA: match_accept
loop Once with LedgerConnection
Buyer_AEA->>Buyer_AEA: Get raw transaction from ledger api
end
loop Once with DecisionMaker
Buyer_AEA->>Buyer_AEA: Get signed transaction from decision maker
end
loop Once with LedgerConnection
Buyer_AEA->>Buyer_AEA: Send transaction and get digest from ledger api
Buyer_AEA->>Blockchain: transfer_funds
end
Buyer_AEA->>Seller_AEA: send_transaction_digest
Seller_AEA->>Blockchain: check_transaction_status
Seller_AEA->>Buyer_AEA: send_data
deactivate Buyer_AEA
deactivate Search
deactivate Seller_AEA
deactivate Blockchain
In our case, my_generic_seller is the Seller_AEA in the above figure.
Let us now implement a Handler to deal with incoming messages. Open the handlers.py file (my_generic_seller/skills/generic_seller/handlers.py) and replace the stub code with the following:
from typing import Optional, cast
from aea.configurations.base import PublicId
from aea.crypto.ledger_apis import LedgerApis
from aea.helpers.transaction.base import TransactionDigest
from aea.protocols.base import Message
from aea.skills.base import Handler
from packages.fetchai.connections.ledger.base import (
CONNECTION_ID as LEDGER_CONNECTION_PUBLIC_ID,
)
from packages.fetchai.protocols.default.message import DefaultMessage
from packages.fetchai.protocols.fipa.message import FipaMessage
from packages.fetchai.protocols.ledger_api.message import LedgerApiMessage
from packages.fetchai.protocols.oef_search.message import OefSearchMessage
from packages.fetchai.skills.generic_seller.behaviours import (
GenericServiceRegistrationBehaviour,
)
from packages.fetchai.skills.generic_seller.dialogues import (
DefaultDialogues,
FipaDialogue,
FipaDialogues,
LedgerApiDialogue,
LedgerApiDialogues,
OefSearchDialogue,
OefSearchDialogues,
)
from packages.fetchai.skills.generic_seller.strategy import GenericStrategy
LEDGER_API_ADDRESS = str(LEDGER_CONNECTION_PUBLIC_ID)
class GenericFipaHandler(Handler):
"""This class implements a FIPA handler."""
SUPPORTED_PROTOCOL = FipaMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Implement the setup for the handler."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
fipa_msg = cast(FipaMessage, message)
# recover dialogue
fipa_dialogues = cast(FipaDialogues, self.context.fipa_dialogues)
fipa_dialogue = cast(FipaDialogue, fipa_dialogues.update(fipa_msg))
if fipa_dialogue is None:
self._handle_unidentified_dialogue(fipa_msg)
return
# handle message
if fipa_msg.performative == FipaMessage.Performative.CFP:
self._handle_cfp(fipa_msg, fipa_dialogue)
elif fipa_msg.performative == FipaMessage.Performative.DECLINE:
self._handle_decline(fipa_msg, fipa_dialogue, fipa_dialogues)
elif fipa_msg.performative == FipaMessage.Performative.ACCEPT:
self._handle_accept(fipa_msg, fipa_dialogue)
elif fipa_msg.performative == FipaMessage.Performative.INFORM:
self._handle_inform(fipa_msg, fipa_dialogue)
else:
self._handle_invalid(fipa_msg, fipa_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
FipaMessages received by the my_generic_seller AEA. We use FipaDialogues (more on this below) to keep track of the progress of the negotiation dialogue between the my_generic_seller AEA and the my_generic_buyer AEA.
In the above handle method, we first check if a received message belongs to an existing dialogue or if we have to create a new dialogue (the recover dialogue part). Once this is done, we break down the AEA's response to each type of negotiation message, as indicated by the message's performative (the handle message part). Therefore, we implement the AEA's response to each negotiation message type in a different handler function.
Below the unused teardown function, we continue by adding the following function:
def _handle_unidentified_dialogue(self, fipa_msg: FipaMessage) -> None:
"""
Handle an unidentified dialogue.
:param fipa_msg: the message
"""
self.context.logger.info(
"received invalid fipa message={}, unidentified dialogue.".format(fipa_msg)
)
default_dialogues = cast(DefaultDialogues, self.context.default_dialogues)
default_msg, _ = default_dialogues.create(
counterparty=fipa_msg.sender,
performative=DefaultMessage.Performative.ERROR,
error_code=DefaultMessage.ErrorCode.INVALID_DIALOGUE,
error_msg="Invalid dialogue.",
error_data={"fipa_message": fipa_msg.encode()},
)
self.context.outbox.put_message(message=default_msg)
The above code handles an unidentified dialogue by responding to the sender with a DefaultMessage containing the appropriate error information.
The next code block handles CFP (call-for-proposal) negotiation messages. Paste the following code below the _handle_unidentified_dialogue function:
def _handle_cfp(self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue) -> None:
"""
Handle the CFP.
If the CFP matches the supplied services then send a PROPOSE, otherwise send a DECLINE.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
"""
self.context.logger.info(
"received CFP from sender={}".format(fipa_msg.sender[-5:])
)
strategy = cast(GenericStrategy, self.context.strategy)
if strategy.is_matching_supply(fipa_msg.query):
proposal, terms, data_for_sale = strategy.generate_proposal_terms_and_data(
fipa_msg.query, fipa_msg.sender
)
fipa_dialogue.data_for_sale = data_for_sale
fipa_dialogue.terms = terms
self.context.logger.info(
"sending a PROPOSE with proposal={} to sender={}".format(
proposal.values, fipa_msg.sender[-5:]
)
)
proposal_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.PROPOSE,
target_message=fipa_msg,
proposal=proposal,
)
self.context.outbox.put_message(message=proposal_msg)
else:
self.context.logger.info(
"declined the CFP from sender={}".format(fipa_msg.sender[-5:])
)
decline_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.DECLINE, target_message=fipa_msg,
)
self.context.outbox.put_message(message=decline_msg)
The above code sends a PROPOSE message back to the buyer as a response to its CFP if the requested services match our seller agent's supplied services, otherwise it will respond with a DECLINE message.
The next code-block handles the decline message we receive from the buyer. Add the following code below the _handle_cfpfunction:
def _handle_decline(
self,
fipa_msg: FipaMessage,
fipa_dialogue: FipaDialogue,
fipa_dialogues: FipaDialogues,
) -> None:
"""
Handle the DECLINE.
Close the dialogue.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
:param fipa_dialogues: the dialogues object
"""
self.context.logger.info(
"received DECLINE from sender={}".format(fipa_msg.sender[-5:])
)
fipa_dialogues.dialogue_stats.add_dialogue_endstate(
FipaDialogue.EndState.DECLINED_PROPOSE, fipa_dialogue.is_self_initiated
)
my_generic_buyer.
Alternatively, we might receive an ACCEPT message. In order to handle this option add the following code below the _handle_decline function:
def _handle_accept(
self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue
) -> None:
"""
Handle the ACCEPT.
Respond with a MATCH_ACCEPT_W_INFORM which contains the address to send the funds to.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
"""
self.context.logger.info(
"received ACCEPT from sender={}".format(fipa_msg.sender[-5:])
)
info = {"address": fipa_dialogue.terms.sender_address}
match_accept_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.MATCH_ACCEPT_W_INFORM,
target_message=fipa_msg,
info=info,
)
self.context.logger.info(
"sending MATCH_ACCEPT_W_INFORM to sender={} with info={}".format(
fipa_msg.sender[-5:], info,
)
)
self.context.outbox.put_message(message=match_accept_msg)
my_generic_buyer accepts the Proposal we send it and sends an ACCEPT message, we have to respond with another message (MATCH_ACCEPT_W_INFORM) to match the acceptance of the terms of trade and to inform the buyer of the address we would like it to send the funds to.
Lastly, we must handle an INFORM message, which the buyer uses to inform us that it has indeed sent the funds to the provided address. Add the following code at the end of the file:
def _handle_inform(
self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue
) -> None:
"""
Handle the INFORM.
If the INFORM message contains the transaction_digest then verify that it is settled, otherwise do nothing.
If the transaction is settled, send the data, otherwise do nothing.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
"""
self.context.logger.info(
"received INFORM from sender={}".format(fipa_msg.sender[-5:])
)
strategy = cast(GenericStrategy, self.context.strategy)
if strategy.is_ledger_tx and "transaction_digest" in fipa_msg.info.keys():
self.context.logger.info(
"checking whether transaction={} has been received ...".format(
fipa_msg.info["transaction_digest"]
)
)
ledger_api_dialogues = cast(
LedgerApiDialogues, self.context.ledger_api_dialogues
)
ledger_api_msg, ledger_api_dialogue = ledger_api_dialogues.create(
counterparty=LEDGER_API_ADDRESS,
performative=LedgerApiMessage.Performative.GET_TRANSACTION_RECEIPT,
transaction_digest=TransactionDigest(
fipa_dialogue.terms.ledger_id, fipa_msg.info["transaction_digest"]
),
)
ledger_api_dialogue = cast(LedgerApiDialogue, ledger_api_dialogue)
ledger_api_dialogue.associated_fipa_dialogue = fipa_dialogue
self.context.outbox.put_message(message=ledger_api_msg)
elif strategy.is_ledger_tx:
self.context.logger.warning(
"did not receive transaction digest from sender={}.".format(
fipa_msg.sender[-5:]
)
)
elif not strategy.is_ledger_tx and "Done" in fipa_msg.info.keys():
inform_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.INFORM,
target_message=fipa_msg,
info=fipa_dialogue.data_for_sale,
)
self.context.outbox.put_message(message=inform_msg)
fipa_dialogues = cast(FipaDialogues, self.context.fipa_dialogues)
fipa_dialogues.dialogue_stats.add_dialogue_endstate(
FipaDialogue.EndState.SUCCESSFUL, fipa_dialogue.is_self_initiated
)
self.context.logger.info(
"transaction confirmed, sending data={} to buyer={}.".format(
fipa_dialogue.data_for_sale, fipa_msg.sender[-5:],
)
)
else:
self.context.logger.warning(
"did not receive transaction confirmation from sender={}.".format(
fipa_msg.sender[-5:]
)
)
INFORM message. If it contains a transaction digest, then we verify that the transaction matches the proposal the buyer accepted. If the transaction is valid and we received the funds then we send the data to the buyer. Otherwise, we do not send the data.
The remaining handlers are as follows:
def _handle_invalid(
self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue
) -> None:
"""
Handle a fipa message of invalid performative.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
"""
self.context.logger.warning(
"cannot handle fipa message of performative={} in dialogue={}.".format(
fipa_msg.performative, fipa_dialogue
)
)
class GenericLedgerApiHandler(Handler):
"""Implement the ledger handler."""
SUPPORTED_PROTOCOL = LedgerApiMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Implement the setup for the handler."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
ledger_api_msg = cast(LedgerApiMessage, message)
# recover dialogue
ledger_api_dialogues = cast(
LedgerApiDialogues, self.context.ledger_api_dialogues
)
ledger_api_dialogue = cast(
Optional[LedgerApiDialogue], ledger_api_dialogues.update(ledger_api_msg)
)
if ledger_api_dialogue is None:
self._handle_unidentified_dialogue(ledger_api_msg)
return
# handle message
if ledger_api_msg.performative is LedgerApiMessage.Performative.BALANCE:
self._handle_balance(ledger_api_msg)
elif (
ledger_api_msg.performative
is LedgerApiMessage.Performative.TRANSACTION_RECEIPT
):
self._handle_transaction_receipt(ledger_api_msg, ledger_api_dialogue)
elif ledger_api_msg.performative == LedgerApiMessage.Performative.ERROR:
self._handle_error(ledger_api_msg, ledger_api_dialogue)
else:
self._handle_invalid(ledger_api_msg, ledger_api_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
def _handle_unidentified_dialogue(self, ledger_api_msg: LedgerApiMessage) -> None:
"""
Handle an unidentified dialogue.
:param ledger_api_msg: the message
"""
self.context.logger.info(
"received invalid ledger_api message={}, unidentified dialogue.".format(
ledger_api_msg
)
)
def _handle_balance(self, ledger_api_msg: LedgerApiMessage) -> None:
"""
Handle a message of balance performative.
:param ledger_api_msg: the ledger api message
"""
self.context.logger.info(
"starting balance on {} ledger={}.".format(
ledger_api_msg.ledger_id, ledger_api_msg.balance,
)
)
def _handle_transaction_receipt(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of balance performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
fipa_dialogue = ledger_api_dialogue.associated_fipa_dialogue
is_settled = LedgerApis.is_transaction_settled(
fipa_dialogue.terms.ledger_id, ledger_api_msg.transaction_receipt.receipt
)
is_valid = LedgerApis.is_transaction_valid(
fipa_dialogue.terms.ledger_id,
ledger_api_msg.transaction_receipt.transaction,
fipa_dialogue.terms.sender_address,
fipa_dialogue.terms.counterparty_address,
fipa_dialogue.terms.nonce,
fipa_dialogue.terms.counterparty_payable_amount,
)
if is_settled and is_valid:
last_message = cast(
Optional[FipaMessage], fipa_dialogue.last_incoming_message
)
if last_message is None:
raise ValueError("Cannot retrieve last fipa message.")
inform_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.INFORM,
target_message=last_message,
info=fipa_dialogue.data_for_sale,
)
self.context.outbox.put_message(message=inform_msg)
fipa_dialogues = cast(FipaDialogues, self.context.fipa_dialogues)
fipa_dialogues.dialogue_stats.add_dialogue_endstate(
FipaDialogue.EndState.SUCCESSFUL, fipa_dialogue.is_self_initiated
)
self.context.logger.info(
"transaction confirmed, sending data={} to buyer={}.".format(
fipa_dialogue.data_for_sale, last_message.sender[-5:],
)
)
else:
self.context.logger.info(
"transaction_receipt={} not settled or not valid, aborting".format(
ledger_api_msg.transaction_receipt
)
)
def _handle_error(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of error performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
self.context.logger.info(
"received ledger_api error message={} in dialogue={}.".format(
ledger_api_msg, ledger_api_dialogue
)
)
def _handle_invalid(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of invalid performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
self.context.logger.warning(
"cannot handle ledger_api message of performative={} in dialogue={}.".format(
ledger_api_msg.performative, ledger_api_dialogue,
)
)
class GenericOefSearchHandler(Handler):
"""This class implements an OEF search handler."""
SUPPORTED_PROTOCOL = OefSearchMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Call to setup the handler."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
oef_search_msg = cast(OefSearchMessage, message)
# recover dialogue
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_dialogue = cast(
Optional[OefSearchDialogue], oef_search_dialogues.update(oef_search_msg)
)
if oef_search_dialogue is None:
self._handle_unidentified_dialogue(oef_search_msg)
return
# handle message
if oef_search_msg.performative == OefSearchMessage.Performative.SUCCESS:
self._handle_success(oef_search_msg, oef_search_dialogue)
elif oef_search_msg.performative == OefSearchMessage.Performative.OEF_ERROR:
self._handle_error(oef_search_msg, oef_search_dialogue)
else:
self._handle_invalid(oef_search_msg, oef_search_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
def _handle_unidentified_dialogue(self, oef_search_msg: OefSearchMessage) -> None:
"""
Handle an unidentified dialogue.
:param oef_search_msg: the message
"""
self.context.logger.info(
"received invalid oef_search message={}, unidentified dialogue.".format(
oef_search_msg
)
)
def _handle_success(
self,
oef_search_success_msg: OefSearchMessage,
oef_search_dialogue: OefSearchDialogue,
) -> None:
"""
Handle an oef search message.
:param oef_search_success_msg: the oef search message
:param oef_search_dialogue: the dialogue
"""
self.context.logger.info(
"received oef_search success message={} in dialogue={}.".format(
oef_search_success_msg, oef_search_dialogue
)
)
target_message = cast(
OefSearchMessage,
oef_search_dialogue.get_message_by_id(oef_search_success_msg.target),
)
if (
target_message.performative
== OefSearchMessage.Performative.REGISTER_SERVICE
):
description = target_message.service_description
data_model_name = description.data_model.name
registration_behaviour = cast(
GenericServiceRegistrationBehaviour,
self.context.behaviours.service_registration,
)
if "location_agent" in data_model_name:
registration_behaviour.register_service()
elif "set_service_key" in data_model_name:
registration_behaviour.register_genus()
elif (
"personality_agent" in data_model_name
and description.values["piece"] == "genus"
):
registration_behaviour.register_classification()
elif (
"personality_agent" in data_model_name
and description.values["piece"] == "classification"
):
self.context.logger.info(
"the agent, with its genus and classification, and its service are successfully registered on the SOEF."
)
else:
self.context.logger.warning(
f"received soef SUCCESS message as a reply to the following unexpected message: {target_message}"
)
def _handle_error(
self,
oef_search_error_msg: OefSearchMessage,
oef_search_dialogue: OefSearchDialogue,
) -> None:
"""
Handle an oef search message.
:param oef_search_error_msg: the oef search message
:param oef_search_dialogue: the dialogue
"""
self.context.logger.info(
"received oef_search error message={} in dialogue={}.".format(
oef_search_error_msg, oef_search_dialogue
)
)
target_message = cast(
OefSearchMessage,
oef_search_dialogue.get_message_by_id(oef_search_error_msg.target),
)
if (
target_message.performative
== OefSearchMessage.Performative.REGISTER_SERVICE
):
registration_behaviour = cast(
GenericServiceRegistrationBehaviour,
self.context.behaviours.service_registration,
)
registration_behaviour.failed_registration_msg = target_message
def _handle_invalid(
self, oef_search_msg: OefSearchMessage, oef_search_dialogue: OefSearchDialogue
) -> None:
"""
Handle an oef search message.
:param oef_search_msg: the oef search message
:param oef_search_dialogue: the dialogue
"""
self.context.logger.warning(
"cannot handle oef_search message of performative={} in dialogue={}.".format(
oef_search_msg.performative, oef_search_dialogue,
)
)
The GenericLedgerApiHandler deals with LedgerApiMessages from the ledger connection and the GenericOefSearchHandler handles OefSearchMessages from the SOEF connection.
Step 4: Create the strategy
Next, we are going to create the strategy that we want our my_generic_seller AEA to follow. Rename the my_model.py file (my_generic_seller/skills/generic_seller/my_model.py) to strategy.py and replace the stub code with the following:
import uuid
from typing import Any, Dict, Optional, Tuple
from aea.common import Address
from aea.crypto.ledger_apis import LedgerApis
from aea.exceptions import enforce
from aea.helpers.search.generic import (
AGENT_LOCATION_MODEL,
AGENT_PERSONALITY_MODEL,
AGENT_REMOVE_SERVICE_MODEL,
AGENT_SET_SERVICE_MODEL,
SIMPLE_SERVICE_MODEL,
)
from aea.helpers.search.models import Description, Location, Query
from aea.helpers.transaction.base import Terms
from aea.skills.base import Model
DEFAULT_IS_LEDGER_TX = True
DEFAULT_UNIT_PRICE = 4
DEFAULT_SERVICE_ID = "generic_service"
DEFAULT_LOCATION = {"longitude": 0.1270, "latitude": 51.5194}
DEFAULT_SERVICE_DATA = {"key": "seller_service", "value": "generic_service"}
DEFAULT_PERSONALITY_DATA = {"piece": "genus", "value": "data"}
DEFAULT_CLASSIFICATION = {"piece": "classification", "value": "seller"}
DEFAULT_HAS_DATA_SOURCE = False
DEFAULT_DATA_FOR_SALE = {
"some_generic_data_key": "some_generic_data_value"
} # type: Optional[Dict[str, Any]]
class GenericStrategy(Model):
"""This class defines a strategy for the agent."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize the strategy of the agent.
:param kwargs: keyword arguments
"""
ledger_id = kwargs.pop("ledger_id", None)
currency_id = kwargs.pop("currency_id", None)
self._is_ledger_tx = kwargs.pop("is_ledger_tx", DEFAULT_IS_LEDGER_TX)
self._unit_price = kwargs.pop("unit_price", DEFAULT_UNIT_PRICE)
self._service_id = kwargs.pop("service_id", DEFAULT_SERVICE_ID)
location = kwargs.pop("location", DEFAULT_LOCATION)
self._agent_location = {
"location": Location(
latitude=location["latitude"], longitude=location["longitude"]
)
}
self._set_personality_data = kwargs.pop(
"personality_data", DEFAULT_PERSONALITY_DATA
)
enforce(
len(self._set_personality_data) == 2
and "piece" in self._set_personality_data
and "value" in self._set_personality_data,
"personality_data must contain keys `key` and `value`",
)
self._set_classification = kwargs.pop("classification", DEFAULT_CLASSIFICATION)
enforce(
len(self._set_classification) == 2
and "piece" in self._set_classification
and "value" in self._set_classification,
"classification must contain keys `key` and `value`",
)
self._set_service_data = kwargs.pop("service_data", DEFAULT_SERVICE_DATA)
enforce(
len(self._set_service_data) == 2
and "key" in self._set_service_data
and "value" in self._set_service_data,
"service_data must contain keys `key` and `value`",
)
self._remove_service_data = {"key": self._set_service_data["key"]}
self._simple_service_data = {
self._set_service_data["key"]: self._set_service_data["value"]
}
self._has_data_source = kwargs.pop("has_data_source", DEFAULT_HAS_DATA_SOURCE)
data_for_sale_ordered = kwargs.pop("data_for_sale", DEFAULT_DATA_FOR_SALE)
data_for_sale = {
str(key): str(value) for key, value in data_for_sale_ordered.items()
}
super().__init__(**kwargs)
self._ledger_id = (
ledger_id if ledger_id is not None else self.context.default_ledger_id
)
if currency_id is None:
currency_id = self.context.currency_denominations.get(self._ledger_id, None)
enforce(
currency_id is not None,
f"Currency denomination for ledger_id={self._ledger_id} not specified.",
)
self._currency_id = currency_id
enforce(
self.context.agent_addresses.get(self._ledger_id, None) is not None,
"Wallet does not contain cryptos for provided ledger id.",
)
self._data_for_sale = data_for_sale
In the above code snippet, we initialise the strategy class by trying to read the variables specific to the strategy from a YAML configuration file. If any variable is not provided, some default values will be used.
The following properties and methods deal with different aspects of the strategy. They should be relatively self-descriptive. Add them under the initialization of the strategy class:
@property
def data_for_sale(self) -> Dict[str, str]:
"""Get the data for sale."""
if self._has_data_source:
return self.collect_from_data_source() # pragma: nocover
return self._data_for_sale
@property
def ledger_id(self) -> str:
"""Get the ledger id."""
return self._ledger_id
@property
def is_ledger_tx(self) -> bool:
"""Check whether or not tx are settled on a ledger."""
return self._is_ledger_tx
def get_location_description(self) -> Description:
"""
Get the location description.
:return: a description of the agent's location
"""
description = Description(
self._agent_location, data_model=AGENT_LOCATION_MODEL,
)
return description
def get_register_service_description(self) -> Description:
"""
Get the register service description.
:return: a description of the offered services
"""
description = Description(
self._set_service_data, data_model=AGENT_SET_SERVICE_MODEL,
)
return description
def get_register_personality_description(self) -> Description:
"""
Get the register personality description.
:return: a description of the personality
"""
description = Description(
self._set_personality_data, data_model=AGENT_PERSONALITY_MODEL,
)
return description
def get_register_classification_description(self) -> Description:
"""
Get the register classification description.
:return: a description of the classification
"""
description = Description(
self._set_classification, data_model=AGENT_PERSONALITY_MODEL,
)
return description
def get_service_description(self) -> Description:
"""
Get the simple service description.
:return: a description of the offered services
"""
description = Description(
self._simple_service_data, data_model=SIMPLE_SERVICE_MODEL,
)
return description
def get_unregister_service_description(self) -> Description:
"""
Get the unregister service description.
:return: a description of the to be removed service
"""
description = Description(
self._remove_service_data, data_model=AGENT_REMOVE_SERVICE_MODEL,
)
return description
def is_matching_supply(self, query: Query) -> bool:
"""
Check if the query matches the supply.
:param query: the query
:return: bool indicating whether matches or not
"""
return query.check(self.get_service_description())
def generate_proposal_terms_and_data( # pylint: disable=unused-argument
self, query: Query, counterparty_address: Address
) -> Tuple[Description, Terms, Dict[str, str]]:
"""
Generate a proposal matching the query.
:param query: the query
:param counterparty_address: the counterparty of the proposal.
:return: a tuple of proposal, terms and the weather data
"""
data_for_sale = self.data_for_sale
sale_quantity = len(data_for_sale)
seller_address = self.context.agent_addresses[self.ledger_id]
total_price = sale_quantity * self._unit_price
if self.is_ledger_tx:
tx_nonce = LedgerApis.generate_tx_nonce(
identifier=self.ledger_id,
seller=seller_address,
client=counterparty_address,
)
else:
tx_nonce = uuid.uuid4().hex # pragma: nocover
proposal = Description(
{
"ledger_id": self.ledger_id,
"price": total_price,
"currency_id": self._currency_id,
"service_id": self._service_id,
"quantity": sale_quantity,
"tx_nonce": tx_nonce,
}
)
terms = Terms(
ledger_id=self.ledger_id,
sender_address=seller_address,
counterparty_address=counterparty_address,
amount_by_currency_id={self._currency_id: total_price},
quantities_by_good_id={self._service_id: -sale_quantity},
is_sender_payable_tx_fee=False,
nonce=tx_nonce,
fee_by_currency_id={self._currency_id: 0},
)
return proposal, terms, data_for_sale
def collect_from_data_source(self) -> Dict[str, str]:
"""Implement the logic to communicate with the sensor."""
raise NotImplementedError
The helper private function collect_from_data_source is where we read data from a sensor or if there are no sensor we use some default data provided (see the data_for_sale property).
Step 5: Create the dialogues
To keep track of the structure and progress of interactions, including negotiations with a buyer AEA and interactions with search nodes and ledgers, we use dialogues. Create a new file in the skill folder (my_generic_seller/skills/generic_seller/) and name it dialogues.py. Inside this file add the following code:
from typing import Any, Dict, Optional, Type
from aea.common import Address
from aea.exceptions import AEAEnforceError, enforce
from aea.helpers.transaction.base import Terms
from aea.protocols.base import Message
from aea.protocols.dialogue.base import Dialogue as BaseDialogue
from aea.protocols.dialogue.base import DialogueLabel as BaseDialogueLabel
from aea.skills.base import Model
from packages.fetchai.protocols.default.dialogues import (
DefaultDialogue as BaseDefaultDialogue,
)
from packages.fetchai.protocols.default.dialogues import (
DefaultDialogues as BaseDefaultDialogues,
)
from packages.fetchai.protocols.fipa.dialogues import FipaDialogue as BaseFipaDialogue
from packages.fetchai.protocols.fipa.dialogues import FipaDialogues as BaseFipaDialogues
from packages.fetchai.protocols.fipa.message import FipaMessage
from packages.fetchai.protocols.ledger_api.dialogues import (
LedgerApiDialogue as BaseLedgerApiDialogue,
)
from packages.fetchai.protocols.ledger_api.dialogues import (
LedgerApiDialogues as BaseLedgerApiDialogues,
)
from packages.fetchai.protocols.ledger_api.message import LedgerApiMessage
from packages.fetchai.protocols.oef_search.dialogues import (
OefSearchDialogue as BaseOefSearchDialogue,
)
from packages.fetchai.protocols.oef_search.dialogues import (
OefSearchDialogues as BaseOefSearchDialogues,
)
DefaultDialogue = BaseDefaultDialogue
class DefaultDialogues(Model, BaseDefaultDialogues):
"""The dialogues class keeps track of all dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return DefaultDialogue.Role.AGENT
BaseDefaultDialogues.__init__(
self,
self_address=self.context.agent_address,
role_from_first_message=role_from_first_message,
)
class FipaDialogue(BaseFipaDialogue):
"""The dialogue class maintains state of a dialogue and manages it."""
__slots__ = ("data_for_sale", "_terms")
def __init__(
self,
dialogue_label: BaseDialogueLabel,
self_address: Address,
role: BaseDialogue.Role,
message_class: Type[FipaMessage] = FipaMessage,
) -> None:
"""
Initialize a dialogue.
:param dialogue_label: the identifier of the dialogue
:param self_address: the address of the entity for whom this dialogue is maintained
:param role: the role of the agent this dialogue is maintained for
:param message_class: the message class
"""
BaseFipaDialogue.__init__(
self,
dialogue_label=dialogue_label,
self_address=self_address,
role=role,
message_class=message_class,
)
self.data_for_sale = None # type: Optional[Dict[str, str]]
self._terms = None # type: Optional[Terms]
@property
def terms(self) -> Terms:
"""Get terms."""
if self._terms is None:
raise AEAEnforceError("Terms not set!")
return self._terms
@terms.setter
def terms(self, terms: Terms) -> None:
"""Set terms."""
enforce(self._terms is None, "Terms already set!")
self._terms = terms
class FipaDialogues(Model, BaseFipaDialogues):
"""The dialogues class keeps track of all dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return FipaDialogue.Role.SELLER
BaseFipaDialogues.__init__(
self,
self_address=self.context.agent_address,
role_from_first_message=role_from_first_message,
dialogue_class=FipaDialogue,
)
class LedgerApiDialogue(BaseLedgerApiDialogue):
"""The dialogue class maintains state of a dialogue and manages it."""
__slots__ = ("_associated_fipa_dialogue",)
def __init__(
self,
dialogue_label: BaseDialogueLabel,
self_address: Address,
role: BaseDialogue.Role,
message_class: Type[LedgerApiMessage] = LedgerApiMessage,
) -> None:
"""
Initialize a dialogue.
:param dialogue_label: the identifier of the dialogue
:param self_address: the address of the entity for whom this dialogue is maintained
:param role: the role of the agent this dialogue is maintained for
:param message_class: the message class
"""
BaseLedgerApiDialogue.__init__(
self,
dialogue_label=dialogue_label,
self_address=self_address,
role=role,
message_class=message_class,
)
self._associated_fipa_dialogue = None # type: Optional[FipaDialogue]
@property
def associated_fipa_dialogue(self) -> FipaDialogue:
"""Get associated_fipa_dialogue."""
if self._associated_fipa_dialogue is None:
raise AEAEnforceError("FipaDialogue not set!")
return self._associated_fipa_dialogue
@associated_fipa_dialogue.setter
def associated_fipa_dialogue(self, fipa_dialogue: FipaDialogue) -> None:
"""Set associated_fipa_dialogue"""
enforce(self._associated_fipa_dialogue is None, "FipaDialogue already set!")
self._associated_fipa_dialogue = fipa_dialogue
class LedgerApiDialogues(Model, BaseLedgerApiDialogues):
"""The dialogues class keeps track of all dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return BaseLedgerApiDialogue.Role.AGENT
BaseLedgerApiDialogues.__init__(
self,
self_address=str(self.skill_id),
role_from_first_message=role_from_first_message,
dialogue_class=LedgerApiDialogue,
)
OefSearchDialogue = BaseOefSearchDialogue
class OefSearchDialogues(Model, BaseOefSearchDialogues):
"""This class keeps track of all oef_search dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return BaseOefSearchDialogue.Role.AGENT
BaseOefSearchDialogues.__init__(
self,
self_address=str(self.skill_id),
role_from_first_message=role_from_first_message,
)
The FipaDialogues class contains negotiation dialogues with each my_generic_buyer AEA (and other AEAs) and exposes a number of helpful methods to manage them. This helps us match messages to the dialogues they belong to, access previous messages and enable us to identify possible communications problems between the my_generic_seller AEA and the my_generic_buyer AEA. It also keeps track of the data that we offer for sale during the proposal phase.
The FipaDialogues class extends BaseFipaDialogues, which itself derives from the base Dialogues class. Similarly, the FipaDialogue class extends BaseFipaDialogue which itself derives from the base Dialogue class. To learn more about dialogues have a look here.
Step 6: Update the YAML files
Since we made so many changes to our AEA we have to update the skill.yaml (at my_generic_seller/skills/generic_seller/skill.yaml). Make sure you update your skill.yaml with the following configuration:
name: generic_seller
author: fetchai
version: 0.1.0
type: skill
description: The weather station skill implements the functionality to sell weather
data.
license: Apache-2.0
aea_version: '>=1.0.0, <2.0.0'
fingerprint:
README.md: QmPb5kHYZyhUN87EKmuahyGqDGgqVdGPyfC1KpGC3xfmcP
__init__.py: QmTSEedzQySy2nzRCY3F66CBSX52f8s3pWHZTejX4hKC9h
behaviours.py: QmS9sPCv2yBnhWsmHeaCptpApMtYZipbR39TXixeGK64Ks
dialogues.py: QmdTW8q1xQ7ajFVsWmuV62ypoT5J2b6Hkyz52LFaWuMEtd
handlers.py: QmQnQhSaHPUYaJut8bMe2LHEqiZqokMSVfCthVaqrvPbdi
strategy.py: QmYTUsfv64eRQDevCfMUDQPx2GCtiMLFdacN4sS1E4Fdfx
fingerprint_ignore_patterns: []
connections:
- fetchai/ledger:0.20.0
contracts: []
protocols:
- fetchai/default:1.1.0
- fetchai/fipa:1.1.0
- fetchai/ledger_api:1.1.0
- fetchai/oef_search:1.1.0
skills: []
behaviours:
service_registration:
args:
services_interval: 20
class_name: GenericServiceRegistrationBehaviour
handlers:
fipa:
args: {}
class_name: GenericFipaHandler
ledger_api:
args: {}
class_name: GenericLedgerApiHandler
oef_search:
args: {}
class_name: GenericOefSearchHandler
models:
default_dialogues:
args: {}
class_name: DefaultDialogues
fipa_dialogues:
args: {}
class_name: FipaDialogues
ledger_api_dialogues:
args: {}
class_name: LedgerApiDialogues
oef_search_dialogues:
args: {}
class_name: OefSearchDialogues
strategy:
args:
data_for_sale:
generic: data
has_data_source: false
is_ledger_tx: true
location:
latitude: 51.5194
longitude: 0.127
service_data:
key: seller_service
value: generic_service
service_id: generic_service
unit_price: 10
class_name: GenericStrategy
is_abstract: false
dependencies: {}
We must pay attention to the models and in particular the strategy’s variables. Here we can change the price we would like to sell each data reading for, or the currency we would like to transact with. Lastly, the dependencies are the third party packages we need to install in order to get readings from the sensor.
Finally, we fingerprint our new skill:
This will hash each file and save the hash in the fingerprint. This way, in the future we can easily track if any of the files have changed.
Generic Buyer AEA
Step 1: Create the AEA
In a new terminal, create a new AEA by typing the following command in the terminal:
Our newly created AEA is inside the current working directory. Let’s create a new skill for purchasing data. Type the following command:
This command creates the correct structure for a new skill inside our AEA project. You can locate the newly created skill under the skills folder (my_generic_buyer/skills/generic_buyer/) and it must contain the following files:
__init__.pybehaviours.pyhandlers.pymy_model.pyskills.yaml
Step 2: Create the behaviour
Open the behaviours.py file (my_generic_buyer/skills/generic_buyer/behaviours.py) and replace the stub code with the following:
from typing import Any, List, Optional, Set, cast
from aea.protocols.dialogue.base import DialogueLabel
from aea.skills.behaviours import TickerBehaviour
from packages.fetchai.connections.ledger.base import (
CONNECTION_ID as LEDGER_CONNECTION_PUBLIC_ID,
)
from packages.fetchai.protocols.ledger_api.message import LedgerApiMessage
from packages.fetchai.protocols.oef_search.message import OefSearchMessage
from packages.fetchai.skills.generic_buyer.dialogues import (
FipaDialogue,
LedgerApiDialogue,
LedgerApiDialogues,
OefSearchDialogues,
)
from packages.fetchai.skills.generic_buyer.strategy import GenericStrategy
DEFAULT_MAX_PROCESSING = 120
DEFAULT_TX_INTERVAL = 2.0
DEFAULT_SEARCH_INTERVAL = 5.0
LEDGER_API_ADDRESS = str(LEDGER_CONNECTION_PUBLIC_ID)
class GenericSearchBehaviour(TickerBehaviour):
"""This class implements a search behaviour."""
def __init__(self, **kwargs: Any):
"""Initialize the search behaviour."""
search_interval = cast(
float, kwargs.pop("search_interval", DEFAULT_SEARCH_INTERVAL)
)
super().__init__(tick_interval=search_interval, **kwargs)
def setup(self) -> None:
"""Implement the setup for the behaviour."""
strategy = cast(GenericStrategy, self.context.strategy)
if strategy.is_ledger_tx:
ledger_api_dialogues = cast(
LedgerApiDialogues, self.context.ledger_api_dialogues
)
ledger_api_msg, _ = ledger_api_dialogues.create(
counterparty=LEDGER_API_ADDRESS,
performative=LedgerApiMessage.Performative.GET_BALANCE,
ledger_id=strategy.ledger_id,
address=cast(str, self.context.agent_addresses.get(strategy.ledger_id)),
)
self.context.outbox.put_message(message=ledger_api_msg)
else:
strategy.is_searching = True
def act(self) -> None:
"""Implement the act."""
strategy = cast(GenericStrategy, self.context.strategy)
if not strategy.is_searching:
return
transaction_behaviour = cast(
GenericTransactionBehaviour, self.context.behaviours.transaction
)
remaining_transactions_count = len(transaction_behaviour.waiting)
if remaining_transactions_count > 0:
self.context.logger.info(
f"Transaction behaviour has {remaining_transactions_count} transactions remaining. Skipping search!"
)
return
strategy.update_search_query_params()
query = strategy.get_location_and_service_query()
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_msg, _ = oef_search_dialogues.create(
counterparty=self.context.search_service_address,
performative=OefSearchMessage.Performative.SEARCH_SERVICES,
query=query,
)
self.context.outbox.put_message(message=oef_search_msg)
def teardown(self) -> None:
"""Implement the task teardown."""
class GenericTransactionBehaviour(TickerBehaviour):
"""A behaviour to sequentially submit transactions to the blockchain."""
def __init__(self, **kwargs: Any):
"""Initialize the transaction behaviour."""
tx_interval = cast(
float, kwargs.pop("transaction_interval", DEFAULT_TX_INTERVAL)
)
self.max_processing = cast(
float, kwargs.pop("max_processing", DEFAULT_MAX_PROCESSING)
)
self.processing_time = 0.0
self.waiting: List[FipaDialogue] = []
self.processing: Optional[LedgerApiDialogue] = None
self.timedout: Set[DialogueLabel] = set()
super().__init__(tick_interval=tx_interval, **kwargs)
def setup(self) -> None:
"""Setup behaviour."""
def act(self) -> None:
"""Implement the act."""
if self.processing is not None:
if self.processing_time <= self.max_processing:
# already processing
self.processing_time += self.tick_interval
return
self._timeout_processing()
if len(self.waiting) == 0:
# nothing to process
return
self._start_processing()
def _start_processing(self) -> None:
"""Process the next transaction."""
fipa_dialogue = self.waiting.pop(0)
self.context.logger.info(
f"Processing transaction, {len(self.waiting)} transactions remaining"
)
ledger_api_dialogues = cast(
LedgerApiDialogues, self.context.ledger_api_dialogues
)
ledger_api_msg, ledger_api_dialogue = ledger_api_dialogues.create(
counterparty=LEDGER_API_ADDRESS,
performative=LedgerApiMessage.Performative.GET_RAW_TRANSACTION,
terms=fipa_dialogue.terms,
)
ledger_api_dialogue = cast(LedgerApiDialogue, ledger_api_dialogue)
ledger_api_dialogue.associated_fipa_dialogue = fipa_dialogue
self.processing_time = 0.0
self.processing = ledger_api_dialogue
self.context.logger.info(
f"requesting transfer transaction from ledger api for message={ledger_api_msg}..."
)
self.context.outbox.put_message(message=ledger_api_msg)
def teardown(self) -> None:
"""Teardown behaviour."""
def _timeout_processing(self) -> None:
"""Timeout processing."""
if self.processing is None:
return
self.timedout.add(self.processing.dialogue_label)
self.waiting.append(self.processing.associated_fipa_dialogue)
self.processing_time = 0.0
self.processing = None
def finish_processing(self, ledger_api_dialogue: LedgerApiDialogue) -> None:
"""
Finish processing.
:param ledger_api_dialogue: the ledger api dialogue
"""
if self.processing == ledger_api_dialogue:
self.processing_time = 0.0
self.processing = None
return
if ledger_api_dialogue.dialogue_label not in self.timedout:
raise ValueError(
f"Non-matching dialogues in transaction behaviour: {self.processing} and {ledger_api_dialogue}"
)
self.timedout.remove(ledger_api_dialogue.dialogue_label)
self.context.logger.debug(
f"Timeout dialogue in transaction processing: {ledger_api_dialogue}"
)
# don't reset, as another might be processing
def failed_processing(self, ledger_api_dialogue: LedgerApiDialogue) -> None:
"""
Failed processing.
Currently, we retry processing indefinitely.
:param ledger_api_dialogue: the ledger api dialogue
"""
self.finish_processing(ledger_api_dialogue)
self.waiting.append(ledger_api_dialogue.associated_fipa_dialogue)
This TickerBehaviour will send a search query to the SOEF search node at regular tick intervals.
Step 3: Create the handler
So far, the AEA is tasked with sending search queries to the SOEF search node. However, currently the AEA has no way of handling the responses it receives from the SOEF or messages from other agents.
Let us now implement Handlers to deal with the expected incoming messages. Open the handlers.py file (my_generic_buyer/skills/generic_buyer/handlers.py) and add the following code (replacing the stub code already present in the file):
import pprint
from typing import Optional, cast
from aea.configurations.base import PublicId
from aea.crypto.ledger_apis import LedgerApis
from aea.protocols.base import Message
from aea.skills.base import Handler
from packages.fetchai.connections.ledger.base import (
CONNECTION_ID as LEDGER_CONNECTION_PUBLIC_ID,
)
from packages.fetchai.protocols.default.message import DefaultMessage
from packages.fetchai.protocols.fipa.message import FipaMessage
from packages.fetchai.protocols.ledger_api.message import LedgerApiMessage
from packages.fetchai.protocols.oef_search.message import OefSearchMessage
from packages.fetchai.protocols.signing.message import SigningMessage
from packages.fetchai.skills.generic_buyer.behaviours import GenericTransactionBehaviour
from packages.fetchai.skills.generic_buyer.dialogues import (
DefaultDialogues,
FipaDialogue,
FipaDialogues,
LedgerApiDialogue,
LedgerApiDialogues,
OefSearchDialogue,
OefSearchDialogues,
SigningDialogue,
SigningDialogues,
)
from packages.fetchai.skills.generic_buyer.strategy import GenericStrategy
LEDGER_API_ADDRESS = str(LEDGER_CONNECTION_PUBLIC_ID)
class GenericFipaHandler(Handler):
"""This class implements a FIPA handler."""
SUPPORTED_PROTOCOL = FipaMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Implement the setup."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
fipa_msg = cast(FipaMessage, message)
# recover dialogue
fipa_dialogues = cast(FipaDialogues, self.context.fipa_dialogues)
fipa_dialogue = cast(FipaDialogue, fipa_dialogues.update(fipa_msg))
if fipa_dialogue is None:
self._handle_unidentified_dialogue(fipa_msg)
return
# handle message
if fipa_msg.performative == FipaMessage.Performative.PROPOSE:
self._handle_propose(fipa_msg, fipa_dialogue)
elif fipa_msg.performative == FipaMessage.Performative.DECLINE:
self._handle_decline(fipa_msg, fipa_dialogue, fipa_dialogues)
elif fipa_msg.performative == FipaMessage.Performative.MATCH_ACCEPT_W_INFORM:
self._handle_match_accept(fipa_msg, fipa_dialogue)
elif fipa_msg.performative == FipaMessage.Performative.INFORM:
self._handle_inform(fipa_msg, fipa_dialogue, fipa_dialogues)
else:
self._handle_invalid(fipa_msg, fipa_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
generic_seller when we develop the generic_buyer’s side of the negotiation. First, we create a new dialogue and store it in the dialogues class. Then we are checking what kind of message we received by checking its performative. So lets start creating our handlers:
def _handle_unidentified_dialogue(self, fipa_msg: FipaMessage) -> None:
"""
Handle an unidentified dialogue.
:param fipa_msg: the message
"""
self.context.logger.info(
"received invalid fipa message={}, unidentified dialogue.".format(fipa_msg)
)
default_dialogues = cast(DefaultDialogues, self.context.default_dialogues)
default_msg, _ = default_dialogues.create(
counterparty=fipa_msg.sender,
performative=DefaultMessage.Performative.ERROR,
error_code=DefaultMessage.ErrorCode.INVALID_DIALOGUE,
error_msg="Invalid dialogue.",
error_data={"fipa_message": fipa_msg.encode()},
)
self.context.outbox.put_message(message=default_msg)
PROPOSE message received from the my_generic_seller AEA:
def _handle_propose(
self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue
) -> None:
"""
Handle the propose.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
"""
self.context.logger.info(
"received proposal={} from sender={}".format(
fipa_msg.proposal.values, fipa_msg.sender[-5:],
)
)
strategy = cast(GenericStrategy, self.context.strategy)
acceptable = strategy.is_acceptable_proposal(fipa_msg.proposal)
affordable = strategy.is_affordable_proposal(fipa_msg.proposal)
if acceptable and affordable:
self.context.logger.info(
"accepting the proposal from sender={}".format(fipa_msg.sender[-5:])
)
terms = strategy.terms_from_proposal(fipa_msg.proposal, fipa_msg.sender)
fipa_dialogue.terms = terms
accept_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.ACCEPT, target_message=fipa_msg,
)
self.context.outbox.put_message(message=accept_msg)
else:
self.context.logger.info(
"declining the proposal from sender={}".format(fipa_msg.sender[-5:])
)
decline_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.DECLINE, target_message=fipa_msg,
)
self.context.outbox.put_message(message=decline_msg)
DECLINE message. Otherwise, we send an ACCEPT message to the seller.
The next code-block handles the DECLINE message that we may receive from the seller as a response to our CFP or ACCEPT messages:
def _handle_decline(
self,
fipa_msg: FipaMessage,
fipa_dialogue: FipaDialogue,
fipa_dialogues: FipaDialogues,
) -> None:
"""
Handle the decline.
:param fipa_msg: the message
:param fipa_dialogue: the fipa dialogue
:param fipa_dialogues: the fipa dialogues
"""
self.context.logger.info(
"received DECLINE from sender={}".format(fipa_msg.sender[-5:])
)
target_message = fipa_dialogue.get_message_by_id(fipa_msg.target)
if not target_message:
raise ValueError("Can not find target message!") # pragma: nocover
declined_performative = target_message.performative
if declined_performative == FipaMessage.Performative.CFP:
fipa_dialogues.dialogue_stats.add_dialogue_endstate(
FipaDialogue.EndState.DECLINED_CFP, fipa_dialogue.is_self_initiated
)
if declined_performative == FipaMessage.Performative.ACCEPT:
fipa_dialogues.dialogue_stats.add_dialogue_endstate(
FipaDialogue.EndState.DECLINED_ACCEPT, fipa_dialogue.is_self_initiated
)
CFP or an ACCEPT).
If my_generic_seller AEA wants to move on with the sale, it will send a MATCH_ACCEPT message. In order to handle this we add the following code:
def _handle_match_accept(
self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue
) -> None:
"""
Handle the match accept.
:param fipa_msg: the message
:param fipa_dialogue: the dialogue object
"""
self.context.logger.info(
"received MATCH_ACCEPT_W_INFORM from sender={} with info={}".format(
fipa_msg.sender[-5:], fipa_msg.info
)
)
strategy = cast(GenericStrategy, self.context.strategy)
if strategy.is_ledger_tx:
transfer_address = fipa_msg.info.get("address", None)
if transfer_address is not None and isinstance(transfer_address, str):
fipa_dialogue.terms.counterparty_address = ( # pragma: nocover
transfer_address
)
tx_behaviour = cast(
GenericTransactionBehaviour, self.context.behaviours.transaction
)
tx_behaviour.waiting.append(fipa_dialogue)
else:
inform_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.INFORM,
target_message=fipa_msg,
info={"Done": "Sending payment via bank transfer"},
)
self.context.outbox.put_message(message=inform_msg)
self.context.logger.info(
"informing counterparty={} of payment.".format(fipa_msg.sender[-5:])
)
Lastly, we need to handle INFORM messages. This is the message that will have our data:
def _handle_inform(
self,
fipa_msg: FipaMessage,
fipa_dialogue: FipaDialogue,
fipa_dialogues: FipaDialogues,
) -> None:
"""
Handle the match inform.
:param fipa_msg: the message
:param fipa_dialogue: the fipa dialogue
:param fipa_dialogues: the fipa dialogues
"""
self.context.logger.info(
"received INFORM from sender={}".format(fipa_msg.sender[-5:])
)
if len(fipa_msg.info.keys()) >= 1:
data = fipa_msg.info
data_string = pprint.pformat(data)[:1000]
self.context.logger.info(f"received the following data={data_string}")
fipa_dialogues.dialogue_stats.add_dialogue_endstate(
FipaDialogue.EndState.SUCCESSFUL, fipa_dialogue.is_self_initiated
)
strategy = cast(GenericStrategy, self.context.strategy)
strategy.successful_trade_with_counterparty(fipa_msg.sender, data)
else:
self.context.logger.info(
"received no data from sender={}".format(fipa_msg.sender[-5:])
)
def _handle_invalid(
self, fipa_msg: FipaMessage, fipa_dialogue: FipaDialogue
) -> None:
"""
Handle a fipa message of invalid performative.
:param fipa_msg: the message
:param fipa_dialogue: the fipa dialogue
"""
self.context.logger.warning(
"cannot handle fipa message of performative={} in dialogue={}.".format(
fipa_msg.performative, fipa_dialogue
)
)
We now need to add handlers for messages received from the DecisionMaker and the SOEF search node. We need one handler for each type of protocol we use.
To handle the messages in the oef_search protocol used by the SOEF search node we add the following code in the same file (my_generic_buyer/skills/generic_buyer/handlers.py):
class GenericOefSearchHandler(Handler):
"""This class implements an OEF search handler."""
SUPPORTED_PROTOCOL = OefSearchMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Call to setup the handler."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
oef_search_msg = cast(OefSearchMessage, message)
# recover dialogue
oef_search_dialogues = cast(
OefSearchDialogues, self.context.oef_search_dialogues
)
oef_search_dialogue = cast(
Optional[OefSearchDialogue], oef_search_dialogues.update(oef_search_msg)
)
if oef_search_dialogue is None:
self._handle_unidentified_dialogue(oef_search_msg)
return
# handle message
if oef_search_msg.performative is OefSearchMessage.Performative.OEF_ERROR:
self._handle_error(oef_search_msg, oef_search_dialogue)
elif oef_search_msg.performative is OefSearchMessage.Performative.SEARCH_RESULT:
self._handle_search(oef_search_msg, oef_search_dialogue)
else:
self._handle_invalid(oef_search_msg, oef_search_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
def _handle_unidentified_dialogue(self, oef_search_msg: OefSearchMessage) -> None:
"""
Handle an unidentified dialogue.
:param oef_search_msg: the message
"""
self.context.logger.info(
"received invalid oef_search message={}, unidentified dialogue.".format(
oef_search_msg
)
)
def _handle_error(
self, oef_search_msg: OefSearchMessage, oef_search_dialogue: OefSearchDialogue
) -> None:
"""
Handle an oef search message.
:param oef_search_msg: the oef search message
:param oef_search_dialogue: the dialogue
"""
self.context.logger.info(
"received oef_search error message={} in dialogue={}.".format(
oef_search_msg, oef_search_dialogue
)
)
def _handle_search(
self, oef_search_msg: OefSearchMessage, oef_search_dialogue: OefSearchDialogue
) -> None:
"""
Handle the search response.
:param oef_search_msg: the oef search message
:param oef_search_dialogue: the dialogue
"""
if len(oef_search_msg.agents) == 0:
self.context.logger.info(
f"found no agents in dialogue={oef_search_dialogue}, continue searching."
)
return
strategy = cast(GenericStrategy, self.context.strategy)
if strategy.is_stop_searching_on_result:
self.context.logger.info(
"found agents={}, stopping search.".format(
list(map(lambda x: x[-5:], oef_search_msg.agents)),
)
)
strategy.is_searching = False # stopping search
else:
self.context.logger.info(
"found agents={}.".format(
list(map(lambda x: x[-5:], oef_search_msg.agents)),
)
)
query = strategy.get_service_query()
fipa_dialogues = cast(FipaDialogues, self.context.fipa_dialogues)
counterparties = strategy.get_acceptable_counterparties(oef_search_msg.agents)
for counterparty in counterparties:
cfp_msg, _ = fipa_dialogues.create(
counterparty=counterparty,
performative=FipaMessage.Performative.CFP,
query=query,
)
self.context.outbox.put_message(message=cfp_msg)
self.context.logger.info(
"sending CFP to agent={}".format(counterparty[-5:])
)
def _handle_invalid(
self, oef_search_msg: OefSearchMessage, oef_search_dialogue: OefSearchDialogue
) -> None:
"""
Handle an oef search message.
:param oef_search_msg: the oef search message
:param oef_search_dialogue: the dialogue
"""
self.context.logger.warning(
"cannot handle oef_search message of performative={} in dialogue={}.".format(
oef_search_msg.performative, oef_search_dialogue,
)
)
OefSearchMessage.Performative.SEARCH_RESULT, we are passing the details to the relevant handler method. In the _handle_search function we are checking that the response contains some agents and we stop the search if it does. We pick our first agent and we send a CFP message.
The last handlers we need are the GenericSigningHandler and the GenericLedgerApiHandler. These handlers are responsible for SigningMessages that we receive from the DecisionMaker, and LedgerApiMessages that we receive from the ledger connection, respectively.
class GenericSigningHandler(Handler):
"""Implement the signing handler."""
SUPPORTED_PROTOCOL = SigningMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Implement the setup for the handler."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
signing_msg = cast(SigningMessage, message)
# recover dialogue
signing_dialogues = cast(SigningDialogues, self.context.signing_dialogues)
signing_dialogue = cast(
Optional[SigningDialogue], signing_dialogues.update(signing_msg)
)
if signing_dialogue is None:
self._handle_unidentified_dialogue(signing_msg)
return
# handle message
if signing_msg.performative is SigningMessage.Performative.SIGNED_TRANSACTION:
self._handle_signed_transaction(signing_msg, signing_dialogue)
elif signing_msg.performative is SigningMessage.Performative.ERROR:
self._handle_error(signing_msg, signing_dialogue)
else:
self._handle_invalid(signing_msg, signing_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
def _handle_unidentified_dialogue(self, signing_msg: SigningMessage) -> None:
"""
Handle an unidentified dialogue.
:param signing_msg: the message
"""
self.context.logger.info(
"received invalid signing message={}, unidentified dialogue.".format(
signing_msg
)
)
def _handle_signed_transaction(
self, signing_msg: SigningMessage, signing_dialogue: SigningDialogue
) -> None:
"""
Handle an oef search message.
:param signing_msg: the signing message
:param signing_dialogue: the dialogue
"""
self.context.logger.info("transaction signing was successful.")
ledger_api_dialogue = signing_dialogue.associated_ledger_api_dialogue
last_ledger_api_msg = ledger_api_dialogue.last_incoming_message
if last_ledger_api_msg is None:
raise ValueError("Could not retrieve last message in ledger api dialogue")
ledger_api_msg = ledger_api_dialogue.reply(
performative=LedgerApiMessage.Performative.SEND_SIGNED_TRANSACTION,
target_message=last_ledger_api_msg,
signed_transaction=signing_msg.signed_transaction,
)
self.context.outbox.put_message(message=ledger_api_msg)
self.context.logger.info("sending transaction to ledger.")
def _handle_error(
self, signing_msg: SigningMessage, signing_dialogue: SigningDialogue
) -> None:
"""
Handle an oef search message.
:param signing_msg: the signing message
:param signing_dialogue: the dialogue
"""
self.context.logger.info(
"transaction signing was not successful. Error_code={} in dialogue={}".format(
signing_msg.error_code, signing_dialogue
)
)
signing_msg_ = cast(
Optional[SigningMessage], signing_dialogue.last_outgoing_message
)
if (
signing_msg_ is not None
and signing_msg_.performative
== SigningMessage.Performative.SIGN_TRANSACTION
):
tx_behaviour = cast(
GenericTransactionBehaviour, self.context.behaviours.transaction
)
ledger_api_dialogue = signing_dialogue.associated_ledger_api_dialogue
tx_behaviour.failed_processing(ledger_api_dialogue)
def _handle_invalid(
self, signing_msg: SigningMessage, signing_dialogue: SigningDialogue
) -> None:
"""
Handle an oef search message.
:param signing_msg: the signing message
:param signing_dialogue: the dialogue
"""
self.context.logger.warning(
"cannot handle signing message of performative={} in dialogue={}.".format(
signing_msg.performative, signing_dialogue
)
)
class GenericLedgerApiHandler(Handler):
"""Implement the ledger handler."""
SUPPORTED_PROTOCOL = LedgerApiMessage.protocol_id # type: Optional[PublicId]
def setup(self) -> None:
"""Implement the setup for the handler."""
def handle(self, message: Message) -> None:
"""
Implement the reaction to a message.
:param message: the message
"""
ledger_api_msg = cast(LedgerApiMessage, message)
# recover dialogue
ledger_api_dialogues = cast(
LedgerApiDialogues, self.context.ledger_api_dialogues
)
ledger_api_dialogue = cast(
Optional[LedgerApiDialogue], ledger_api_dialogues.update(ledger_api_msg)
)
if ledger_api_dialogue is None:
self._handle_unidentified_dialogue(ledger_api_msg)
return
# handle message
if ledger_api_msg.performative is LedgerApiMessage.Performative.BALANCE:
self._handle_balance(ledger_api_msg)
elif (
ledger_api_msg.performative is LedgerApiMessage.Performative.RAW_TRANSACTION
):
self._handle_raw_transaction(ledger_api_msg, ledger_api_dialogue)
elif (
ledger_api_msg.performative
== LedgerApiMessage.Performative.TRANSACTION_DIGEST
):
self._handle_transaction_digest(ledger_api_msg, ledger_api_dialogue)
elif (
ledger_api_msg.performative
== LedgerApiMessage.Performative.TRANSACTION_RECEIPT
):
self._handle_transaction_receipt(ledger_api_msg, ledger_api_dialogue)
elif ledger_api_msg.performative == LedgerApiMessage.Performative.ERROR:
self._handle_error(ledger_api_msg, ledger_api_dialogue)
else:
self._handle_invalid(ledger_api_msg, ledger_api_dialogue)
def teardown(self) -> None:
"""Implement the handler teardown."""
def _handle_unidentified_dialogue(self, ledger_api_msg: LedgerApiMessage) -> None:
"""
Handle an unidentified dialogue.
:param ledger_api_msg: the message
"""
self.context.logger.info(
"received invalid ledger_api message={}, unidentified dialogue.".format(
ledger_api_msg
)
)
def _handle_balance(self, ledger_api_msg: LedgerApiMessage) -> None:
"""
Handle a message of balance performative.
:param ledger_api_msg: the ledger api message
"""
strategy = cast(GenericStrategy, self.context.strategy)
if ledger_api_msg.balance > 0:
self.context.logger.info(
"starting balance on {} ledger={}.".format(
strategy.ledger_id, ledger_api_msg.balance,
)
)
strategy.balance = ledger_api_msg.balance
strategy.is_searching = True
else:
self.context.logger.warning(
f"you have no starting balance on {strategy.ledger_id} ledger! Stopping skill {self.skill_id}."
)
self.context.is_active = False
def _handle_raw_transaction(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of raw_transaction performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
self.context.logger.info("received raw transaction={}".format(ledger_api_msg))
signing_dialogues = cast(SigningDialogues, self.context.signing_dialogues)
signing_msg, signing_dialogue = signing_dialogues.create(
counterparty=self.context.decision_maker_address,
performative=SigningMessage.Performative.SIGN_TRANSACTION,
raw_transaction=ledger_api_msg.raw_transaction,
terms=ledger_api_dialogue.associated_fipa_dialogue.terms,
)
signing_dialogue = cast(SigningDialogue, signing_dialogue)
signing_dialogue.associated_ledger_api_dialogue = ledger_api_dialogue
self.context.decision_maker_message_queue.put_nowait(signing_msg)
self.context.logger.info(
"proposing the transaction to the decision maker. Waiting for confirmation ..."
)
def _handle_transaction_digest(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of transaction_digest performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
self.context.logger.info(
"transaction was successfully submitted. Transaction digest={}".format(
ledger_api_msg.transaction_digest
)
)
ledger_api_msg_ = ledger_api_dialogue.reply(
performative=LedgerApiMessage.Performative.GET_TRANSACTION_RECEIPT,
target_message=ledger_api_msg,
transaction_digest=ledger_api_msg.transaction_digest,
)
self.context.logger.info("checking transaction is settled.")
self.context.outbox.put_message(message=ledger_api_msg_)
def _handle_transaction_receipt(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of balance performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
fipa_dialogue = ledger_api_dialogue.associated_fipa_dialogue
is_settled = LedgerApis.is_transaction_settled(
fipa_dialogue.terms.ledger_id, ledger_api_msg.transaction_receipt.receipt
)
tx_behaviour = cast(
GenericTransactionBehaviour, self.context.behaviours.transaction
)
if is_settled:
tx_behaviour.finish_processing(ledger_api_dialogue)
ledger_api_msg_ = cast(
Optional[LedgerApiMessage], ledger_api_dialogue.last_outgoing_message
)
if ledger_api_msg_ is None:
raise ValueError( # pragma: nocover
"Could not retrieve last ledger_api message"
)
fipa_msg = cast(Optional[FipaMessage], fipa_dialogue.last_incoming_message)
if fipa_msg is None:
raise ValueError("Could not retrieve last fipa message")
inform_msg = fipa_dialogue.reply(
performative=FipaMessage.Performative.INFORM,
target_message=fipa_msg,
info={"transaction_digest": ledger_api_msg_.transaction_digest.body},
)
self.context.outbox.put_message(message=inform_msg)
self.context.logger.info(
"transaction confirmed, informing counterparty={} of transaction digest.".format(
fipa_dialogue.dialogue_label.dialogue_opponent_addr[-5:],
)
)
else:
tx_behaviour.failed_processing(ledger_api_dialogue)
self.context.logger.info(
"transaction_receipt={} not settled or not valid, aborting".format(
ledger_api_msg.transaction_receipt
)
)
def _handle_error(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of error performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
self.context.logger.info(
"received ledger_api error message={} in dialogue={}.".format(
ledger_api_msg, ledger_api_dialogue
)
)
ledger_api_msg_ = cast(
Optional[LedgerApiMessage], ledger_api_dialogue.last_outgoing_message
)
if (
ledger_api_msg_ is not None
and ledger_api_msg_.performative
!= LedgerApiMessage.Performative.GET_BALANCE
):
tx_behaviour = cast(
GenericTransactionBehaviour, self.context.behaviours.transaction
)
tx_behaviour.failed_processing(ledger_api_dialogue)
def _handle_invalid(
self, ledger_api_msg: LedgerApiMessage, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""
Handle a message of invalid performative.
:param ledger_api_msg: the ledger api message
:param ledger_api_dialogue: the ledger api dialogue
"""
self.context.logger.warning(
"cannot handle ledger_api message of performative={} in dialogue={}.".format(
ledger_api_msg.performative, ledger_api_dialogue,
)
)
Step 4: Create the strategy
We are going to create the strategy that we want our AEA to follow. Rename the my_model.py file (in my_generic_buyer/skills/generic_buyer/) to strategy.py and replace the stub code with the following:
from typing import Any, Dict, List, Tuple
from aea.common import Address
from aea.exceptions import enforce
from aea.helpers.search.generic import SIMPLE_SERVICE_MODEL
from aea.helpers.search.models import (
Constraint,
ConstraintType,
Description,
Location,
Query,
)
from aea.helpers.transaction.base import Terms
from aea.skills.base import Model
DEFAULT_IS_LEDGER_TX = True
DEFAULT_MAX_UNIT_PRICE = 5
DEFAULT_MAX_TX_FEE = 2
DEFAULT_SERVICE_ID = "generic_service"
DEFAULT_MIN_QUANTITY = 1
DEFAULT_MAX_QUANTITY = 100
DEFAULT_LOCATION = {"longitude": 0.1270, "latitude": 51.5194}
DEFAULT_SEARCH_QUERY = {
"search_key": "seller_service",
"search_value": "generic_service",
"constraint_type": "==",
}
DEFAULT_SEARCH_RADIUS = 5.0
DEFAULT_MAX_NEGOTIATIONS = 2
class GenericStrategy(Model):
"""This class defines a strategy for the agent."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize the strategy of the agent.
:param kwargs: keyword arguments
"""
ledger_id = kwargs.pop("ledger_id", None)
currency_id = kwargs.pop("currency_id", None)
self._is_ledger_tx = kwargs.pop("is_ledger_tx", DEFAULT_IS_LEDGER_TX)
self._max_unit_price = kwargs.pop("max_unit_price", DEFAULT_MAX_UNIT_PRICE)
self._min_quantity = kwargs.pop("min_quantity", DEFAULT_MIN_QUANTITY)
self._max_quantity = kwargs.pop("max_quantity", DEFAULT_MAX_QUANTITY)
self._max_tx_fee = kwargs.pop("max_tx_fee", DEFAULT_MAX_TX_FEE)
self._service_id = kwargs.pop("service_id", DEFAULT_SERVICE_ID)
self._search_query = kwargs.pop("search_query", DEFAULT_SEARCH_QUERY)
location = kwargs.pop("location", DEFAULT_LOCATION)
self._agent_location = Location(
latitude=location["latitude"], longitude=location["longitude"]
)
self._radius = kwargs.pop("search_radius", DEFAULT_SEARCH_RADIUS)
self._max_negotiations = kwargs.pop(
"max_negotiations", DEFAULT_MAX_NEGOTIATIONS
)
self._is_stop_searching_on_result = kwargs.pop("stop_searching_on_result", True)
super().__init__(**kwargs)
self._ledger_id = (
ledger_id if ledger_id is not None else self.context.default_ledger_id
)
if currency_id is None:
currency_id = self.context.currency_denominations.get(self._ledger_id, None)
enforce(
currency_id is not None,
f"Currency denomination for ledger_id={self._ledger_id} not specified.",
)
self._currency_id = currency_id
self._is_searching = False
self._balance = 0
Similar to the seller AEA, we initialize the strategy class by trying to read the strategy variables from the YAML file, and if not possible, use some default values. In the following snippet, the two methods after the properties are related to the OEF search service. Add this snippet under the initialization of the strategy class:
@property
def ledger_id(self) -> str:
"""Get the ledger id."""
return self._ledger_id
@property
def is_ledger_tx(self) -> bool:
"""Check whether or not tx are settled on a ledger."""
return self._is_ledger_tx
@property
def is_stop_searching_on_result(self) -> bool:
"""Check if search is stopped on result."""
return self._is_stop_searching_on_result
@property
def is_searching(self) -> bool:
"""Check if the agent is searching."""
return self._is_searching
@is_searching.setter
def is_searching(self, is_searching: bool) -> None:
"""Check if the agent is searching."""
enforce(isinstance(is_searching, bool), "Can only set bool on is_searching!")
self._is_searching = is_searching
@property
def balance(self) -> int:
"""Get the balance."""
return self._balance
@balance.setter
def balance(self, balance: int) -> None:
"""Set the balance."""
self._balance = balance
@property
def max_negotiations(self) -> int:
"""Get the maximum number of negotiations the agent can start."""
return self._max_negotiations
def get_location_and_service_query(self) -> Query:
"""
Get the location and service query of the agent.
:return: the query
"""
close_to_my_service = Constraint(
"location", ConstraintType("distance", (self._agent_location, self._radius))
)
service_key_filter = Constraint(
self._search_query["search_key"],
ConstraintType(
self._search_query["constraint_type"],
self._search_query["search_value"],
),
)
query = Query([close_to_my_service, service_key_filter],)
return query
def get_service_query(self) -> Query:
"""
Get the service query of the agent.
:return: the query
"""
service_key_filter = Constraint(
self._search_query["search_key"],
ConstraintType(
self._search_query["constraint_type"],
self._search_query["search_value"],
),
)
query = Query([service_key_filter], model=SIMPLE_SERVICE_MODEL)
return query
The following code block checks if the proposal that we received is acceptable according to a strategy:
def is_acceptable_proposal(self, proposal: Description) -> bool:
"""
Check whether it is an acceptable proposal.
:param proposal: a description
:return: whether it is acceptable
"""
result = (
all(
[
key in proposal.values
for key in [
"ledger_id",
"currency_id",
"price",
"service_id",
"quantity",
"tx_nonce",
]
]
)
and proposal.values["ledger_id"] == self.ledger_id
and proposal.values["price"] > 0
and proposal.values["quantity"] >= self._min_quantity
and proposal.values["quantity"] <= self._max_quantity
and proposal.values["price"]
<= proposal.values["quantity"] * self._max_unit_price
and proposal.values["currency_id"] == self._currency_id
and proposal.values["service_id"] == self._service_id
and isinstance(proposal.values["tx_nonce"], str)
and proposal.values["tx_nonce"] != ""
)
return result
The is_affordable_proposal method in the following code block checks if we can afford the transaction based on the funds we have in our wallet on the ledger. The rest of the methods are self-explanatory.
def is_affordable_proposal(self, proposal: Description) -> bool:
"""
Check whether it is an affordable proposal.
:param proposal: a description
:return: whether it is affordable
"""
if self.is_ledger_tx:
payable = proposal.values.get("price", 0) + self._max_tx_fee
result = self.balance >= payable
else:
result = True
return result
def get_acceptable_counterparties(
self, counterparties: Tuple[str, ...]
) -> Tuple[str, ...]:
"""
Process counterparties and drop unacceptable ones.
:param counterparties: a tuple of counterparties
:return: list of counterparties
"""
valid_counterparties: List[str] = []
for idx, counterparty in enumerate(counterparties):
if idx < self.max_negotiations:
valid_counterparties.append(counterparty)
return tuple(valid_counterparties)
def terms_from_proposal(
self, proposal: Description, counterparty_address: Address
) -> Terms:
"""
Get the terms from a proposal.
:param proposal: the proposal
:param counterparty_address: the counterparty
:return: terms
"""
buyer_address = self.context.agent_addresses[proposal.values["ledger_id"]]
terms = Terms(
ledger_id=proposal.values["ledger_id"],
sender_address=buyer_address,
counterparty_address=counterparty_address,
amount_by_currency_id={
proposal.values["currency_id"]: -proposal.values["price"]
},
quantities_by_good_id={
proposal.values["service_id"]: proposal.values["quantity"]
},
is_sender_payable_tx_fee=True,
nonce=proposal.values["tx_nonce"],
fee_by_currency_id={proposal.values["currency_id"]: self._max_tx_fee},
)
return terms
def successful_trade_with_counterparty(
self, counterparty: str, data: Dict[str, str]
) -> None:
"""
Do something on successful trade.
:param counterparty: the counterparty address
:param data: the data
"""
def update_search_query_params(self) -> None:
"""Update agent location and query for search."""
Step 5: Create the dialogues
As mentioned during the creation of the seller AEA, we should keep track of the various interactions an AEA has with others and this is done via dialogues. Create a new file and name it dialogues.py (in my_generic_buyer/skills/generic_buyer/). Inside this file add the following code:
from typing import Any, Optional, Type
from aea.common import Address
from aea.exceptions import AEAEnforceError, enforce
from aea.helpers.transaction.base import Terms
from aea.protocols.base import Message
from aea.protocols.dialogue.base import Dialogue as BaseDialogue
from aea.protocols.dialogue.base import DialogueLabel as BaseDialogueLabel
from aea.skills.base import Model
from packages.fetchai.protocols.default.dialogues import (
DefaultDialogue as BaseDefaultDialogue,
)
from packages.fetchai.protocols.default.dialogues import (
DefaultDialogues as BaseDefaultDialogues,
)
from packages.fetchai.protocols.fipa.dialogues import FipaDialogue as BaseFipaDialogue
from packages.fetchai.protocols.fipa.dialogues import FipaDialogues as BaseFipaDialogues
from packages.fetchai.protocols.fipa.message import FipaMessage
from packages.fetchai.protocols.ledger_api.dialogues import (
LedgerApiDialogue as BaseLedgerApiDialogue,
)
from packages.fetchai.protocols.ledger_api.dialogues import (
LedgerApiDialogues as BaseLedgerApiDialogues,
)
from packages.fetchai.protocols.ledger_api.message import LedgerApiMessage
from packages.fetchai.protocols.oef_search.dialogues import (
OefSearchDialogue as BaseOefSearchDialogue,
)
from packages.fetchai.protocols.oef_search.dialogues import (
OefSearchDialogues as BaseOefSearchDialogues,
)
from packages.fetchai.protocols.signing.dialogues import (
SigningDialogue as BaseSigningDialogue,
)
from packages.fetchai.protocols.signing.dialogues import (
SigningDialogues as BaseSigningDialogues,
)
from packages.fetchai.protocols.signing.message import SigningMessage
DefaultDialogue = BaseDefaultDialogue
class DefaultDialogues(Model, BaseDefaultDialogues):
"""The dialogues class keeps track of all dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return DefaultDialogue.Role.AGENT
BaseDefaultDialogues.__init__(
self,
self_address=self.context.agent_address,
role_from_first_message=role_from_first_message,
)
class FipaDialogue(BaseFipaDialogue):
"""The dialogue class maintains state of a dialogue and manages it."""
__slots__ = (
"_terms",
"_associated_ledger_api_dialogue",
)
def __init__(
self,
dialogue_label: BaseDialogueLabel,
self_address: Address,
role: BaseDialogue.Role,
message_class: Type[FipaMessage] = FipaMessage,
) -> None:
"""
Initialize a dialogue.
:param dialogue_label: the identifier of the dialogue
:param self_address: the address of the entity for whom this dialogue is maintained
:param role: the role of the agent this dialogue is maintained for
:param message_class: the message class
"""
BaseFipaDialogue.__init__(
self,
dialogue_label=dialogue_label,
self_address=self_address,
role=role,
message_class=message_class,
)
self._terms = None # type: Optional[Terms]
@property
def terms(self) -> Terms:
"""Get terms."""
if self._terms is None:
raise AEAEnforceError("Terms not set!")
return self._terms
@terms.setter
def terms(self, terms: Terms) -> None:
"""Set terms."""
enforce(self._terms is None, "Terms already set!")
self._terms = terms
class FipaDialogues(Model, BaseFipaDialogues):
"""The dialogues class keeps track of all dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return BaseFipaDialogue.Role.BUYER
BaseFipaDialogues.__init__(
self,
self_address=self.context.agent_address,
role_from_first_message=role_from_first_message,
dialogue_class=FipaDialogue,
)
class LedgerApiDialogue(BaseLedgerApiDialogue):
"""The dialogue class maintains state of a dialogue and manages it."""
__slots__ = ("_associated_fipa_dialogue",)
def __init__(
self,
dialogue_label: BaseDialogueLabel,
self_address: Address,
role: BaseDialogue.Role,
message_class: Type[LedgerApiMessage] = LedgerApiMessage,
) -> None:
"""
Initialize a dialogue.
:param dialogue_label: the identifier of the dialogue
:param self_address: the address of the entity for whom this dialogue is maintained
:param role: the role of the agent this dialogue is maintained for
:param message_class: the message class
"""
BaseLedgerApiDialogue.__init__(
self,
dialogue_label=dialogue_label,
self_address=self_address,
role=role,
message_class=message_class,
)
self._associated_fipa_dialogue = None # type: Optional[FipaDialogue]
@property
def associated_fipa_dialogue(self) -> FipaDialogue:
"""Get associated_fipa_dialogue."""
if self._associated_fipa_dialogue is None:
raise AEAEnforceError("FipaDialogue not set!")
return self._associated_fipa_dialogue
@associated_fipa_dialogue.setter
def associated_fipa_dialogue(self, fipa_dialogue: FipaDialogue) -> None:
"""Set associated_fipa_dialogue"""
enforce(self._associated_fipa_dialogue is None, "FipaDialogue already set!")
self._associated_fipa_dialogue = fipa_dialogue
class LedgerApiDialogues(Model, BaseLedgerApiDialogues):
"""The dialogues class keeps track of all dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return BaseLedgerApiDialogue.Role.AGENT
BaseLedgerApiDialogues.__init__(
self,
self_address=str(self.skill_id),
role_from_first_message=role_from_first_message,
dialogue_class=LedgerApiDialogue,
)
OefSearchDialogue = BaseOefSearchDialogue
class OefSearchDialogues(Model, BaseOefSearchDialogues):
"""This class keeps track of all oef_search dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return BaseOefSearchDialogue.Role.AGENT
BaseOefSearchDialogues.__init__(
self,
self_address=str(self.skill_id),
role_from_first_message=role_from_first_message,
)
class SigningDialogue(BaseSigningDialogue):
"""The dialogue class maintains state of a dialogue and manages it."""
__slots__ = ("_associated_ledger_api_dialogue",)
def __init__(
self,
dialogue_label: BaseDialogueLabel,
self_address: Address,
role: BaseDialogue.Role,
message_class: Type[SigningMessage] = SigningMessage,
) -> None:
"""
Initialize a dialogue.
:param dialogue_label: the identifier of the dialogue
:param self_address: the address of the entity for whom this dialogue is maintained
:param role: the role of the agent this dialogue is maintained for
:param message_class: the message class
"""
BaseSigningDialogue.__init__(
self,
dialogue_label=dialogue_label,
self_address=self_address,
role=role,
message_class=message_class,
)
self._associated_ledger_api_dialogue = None # type: Optional[LedgerApiDialogue]
@property
def associated_ledger_api_dialogue(self) -> LedgerApiDialogue:
"""Get associated_ledger_api_dialogue."""
if self._associated_ledger_api_dialogue is None:
raise AEAEnforceError("LedgerApiDialogue not set!")
return self._associated_ledger_api_dialogue
@associated_ledger_api_dialogue.setter
def associated_ledger_api_dialogue(
self, ledger_api_dialogue: LedgerApiDialogue
) -> None:
"""Set associated_ledger_api_dialogue"""
enforce(
self._associated_ledger_api_dialogue is None,
"LedgerApiDialogue already set!",
)
self._associated_ledger_api_dialogue = ledger_api_dialogue
class SigningDialogues(Model, BaseSigningDialogues):
"""This class keeps track of all oef_search dialogues."""
def __init__(self, **kwargs: Any) -> None:
"""
Initialize dialogues.
:param kwargs: keyword arguments
"""
Model.__init__(self, **kwargs)
def role_from_first_message( # pylint: disable=unused-argument
message: Message, receiver_address: Address
) -> BaseDialogue.Role:
"""Infer the role of the agent from an incoming/outgoing first message
:param message: an incoming/outgoing first message
:param receiver_address: the address of the receiving agent
:return: The role of the agent
"""
return BaseSigningDialogue.Role.SKILL
BaseSigningDialogues.__init__(
self,
self_address=str(self.skill_id),
role_from_first_message=role_from_first_message,
dialogue_class=SigningDialogue,
)
The various dialogues classes in the above code snippet store dialogues with other AEAs, services and components, (e.g. SOEF search node via the fetchai/soef connection, ledgers via the fetchai/ledger connection and the decision maker). They expose useful methods to manipulate these interactions, access previous messages, and enable us to identify possible communications problems between my_generic_seller and my_generic_buyer AEAs.
Step 6: Update the YAML files
After making so many changes to our skill, we have to update the skill.yaml configuration file so it reflects our newly created classes, and contains the values used by the strategy. Make sure skill.yaml contains the following configuration:
name: generic_buyer
author: fetchai
version: 0.1.0
type: skill
description: The weather client skill implements the skill to purchase weather data.
license: Apache-2.0
aea_version: '>=1.0.0, <2.0.0'
fingerprint:
README.md: QmTR91jm7WfJpmabisy74NR5mc35YXjDU1zQAUKZeHRw8L
__init__.py: QmU5vrC8FipyjfS5biNa6qDWdp4aeH5h4YTtbFDmCg8Chj
behaviours.py: QmNwvSjEz4kzM3gWtnKbZVFJc2Z85Nb748CWAK4C4Sa4nT
dialogues.py: QmNen91qQDWy4bNBKrB3LabAP5iRf29B8iwYss4NB13iNU
handlers.py: QmZfudXXbdiREiViuwPZDXoQQyXT2ySQHdF7psQsohZXQy
strategy.py: QmcrwaEWvKHDCNti8QjRhB4utJBJn5L8GpD27Uy9zHwKhY
fingerprint_ignore_patterns: []
connections:
- fetchai/ledger:0.20.0
contracts: []
protocols:
- fetchai/default:1.1.0
- fetchai/fipa:1.1.0
- fetchai/ledger_api:1.1.0
- fetchai/oef_search:1.1.0
- fetchai/signing:1.1.0
skills: []
behaviours:
search:
args:
search_interval: 5
class_name: GenericSearchBehaviour
transaction:
args:
max_processing: 420
transaction_interval: 2
class_name: GenericTransactionBehaviour
handlers:
fipa:
args: {}
class_name: GenericFipaHandler
ledger_api:
args: {}
class_name: GenericLedgerApiHandler
oef_search:
args: {}
class_name: GenericOefSearchHandler
signing:
args: {}
class_name: GenericSigningHandler
models:
default_dialogues:
args: {}
class_name: DefaultDialogues
fipa_dialogues:
args: {}
class_name: FipaDialogues
ledger_api_dialogues:
args: {}
class_name: LedgerApiDialogues
oef_search_dialogues:
args: {}
class_name: OefSearchDialogues
signing_dialogues:
args: {}
class_name: SigningDialogues
strategy:
args:
is_ledger_tx: true
location:
latitude: 51.5194
longitude: 0.127
max_negotiations: 1
max_tx_fee: 1
max_unit_price: 20
min_quantity: 1
search_query:
constraint_type: ==
search_key: seller_service
search_value: generic_service
search_radius: 5.0
service_id: generic_service
stop_searching_on_result: true
class_name: GenericStrategy
is_abstract: false
dependencies: {}
Finally, we fingerprint our new skill:
This will hash each file and save the hash in the fingerprint. This way, in the future we can easily track if any of the files have changed.
Run the AEAs
Create private keys
For each AEA, create a private key:
Next, create a private key to secure the AEA's communications:
aea generate-key fetchai fetchai_connection_private_key.txt
aea add-key fetchai fetchai_connection_private_key.txt --connection
Finally, certify the key for use by the connections that request that:
Update the AEA configurations
In both AEAs run:
aea config set --type dict agent.default_routing \
'{
"fetchai/ledger_api:1.1.0": "fetchai/ledger:0.20.0",
"fetchai/oef_search:1.1.0": "fetchai/soef:0.27.0"
}'
Fund the buyer AEA
Create some wealth for your buyer on the Fetch.ai testnet (this operation might take a while).
Run seller AEA
Add the remaining packages for the seller AEA, then run it:
aea add connection fetchai/p2p_libp2p:0.26.0
aea add connection fetchai/soef:0.27.0
aea add connection fetchai/ledger:0.20.0
aea add protocol fetchai/fipa:1.1.0
aea install
aea build
aea config set agent.default_connection fetchai/p2p_libp2p:0.26.0
aea run
Once you see a message of the form To join its network use multiaddr: ['SOME_ADDRESS'] take note of the address.
Run buyer AEA
Add the remaining packages for the buyer AEA:
aea add connection fetchai/p2p_libp2p:0.26.0
aea add connection fetchai/soef:0.27.0
aea add connection fetchai/ledger:0.20.0
aea add protocol fetchai/fipa:1.1.0
aea add protocol fetchai/signing:1.1.0
aea install
aea build
aea config set agent.default_connection fetchai/p2p_libp2p:0.26.0
Then, update the configuration of the buyer AEA's P2P connection:
aea config set --type dict vendor.fetchai.connections.p2p_libp2p.config \
'{
"delegate_uri": "127.0.0.1:11001",
"entry_peers": ["SOME_ADDRESS"],
"local_uri": "127.0.0.1:9001",
"log_file": "libp2p_node.log",
"public_uri": "127.0.0.1:9001"
}'
where SOME_ADDRESS is replaced accordingly.
Then run the buyer AEA:
You will see that the AEAs negotiate and then transact using the Dorado testnet.
Delete the AEAs
When you are done, go up a level and delete the AEAs.
Next steps
You have completed the "Getting Started" series. Congratulations!
The following guide provides some hints on AEA development setup.
Recommended
We recommend you build your own AEA next. There are many helpful guides and demos in the documentation, and a developer community on Discord. Speak to you there!