def run(messages_amount: int):
    """Test messages generation and memory consumption with dialogues."""
    handler = DialogueHandler()
    mem_usage_on_start = get_mem_usage_in_mb()
    start_time = time.time()
    for _ in range(messages_amount):
        handler.process_message()
    mem_usage = get_mem_usage_in_mb()

    return [
        ("Mem usage(Mb)", mem_usage - mem_usage_on_start),
        ("Time (seconds)", time.time() - start_time),
    ]
示例#2
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def run(messages_amount: int) -> List[Tuple[str, Union[int, float]]]:
    """Test messages generation and memory consumption."""
    messages: List[Any] = [
        0 for i in range(messages_amount)
    ]  # generate dummy list to count list structure memory
    mem_usage_on_start = get_mem_usage_in_mb()

    start_time = time.time()
    for i in range(messages_amount):
        messages[i] = make_message()
    mem_usage = get_mem_usage_in_mb()

    return [
        ("Mem usage(Mb)", mem_usage - mem_usage_on_start),
        ("Time (seconds)", time.time() - start_time),
    ]
示例#3
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def run(duration: int,
        runtime_mode: str) -> List[Tuple[str, Union[int, float]]]:
    """Check memory usage."""
    # pylint: disable=import-outside-toplevel,unused-import
    # import manually due to some lazy imports in decision_maker
    import aea.decision_maker.default  # noqa: F401

    agent = make_agent(runtime_mode=runtime_mode)
    connection = SyncedGeneratorConnection.make()
    agent.resources.add_connection(connection)
    agent.resources.add_skill(make_skill(agent, handlers={"test":
                                                          TestHandler}))
    t = Thread(target=agent.start, daemon=True)
    t.start()
    wait_for_condition(lambda: agent.is_running, timeout=5)

    connection.enable()
    time.sleep(duration)
    connection.disable()
    mem_usage = get_mem_usage_in_mb()
    agent.stop()
    t.join(5)
    rate = connection.count_in / duration

    return [
        ("envelopes received", connection.count_in),
        ("envelopes sent", connection.count_out),
        ("rate (envelopes/second)", rate),
        ("mem usage (Mb)", mem_usage),
    ]
示例#4
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def run(
    duration: int,
    runtime_mode: str,
    runner_mode: str,
    start_messages: int,
    num_of_agents: int,
) -> List[Tuple[str, Union[int, float]]]:
    """Test multiagent message exchange."""
    # pylint: disable=import-outside-toplevel,unused-import
    # import manually due to some lazy imports in decision_maker
    import aea.decision_maker.default  # noqa: F401

    local_node = LocalNode()
    local_node.start()

    agents = []
    skills = {}
    handler_name = "httpingpong"
    for i in range(num_of_agents):
        agent_name = f"agent{i}"
        agent = make_agent(agent_name=agent_name, runtime_mode=runtime_mode)
        connection = OEFLocalConnection(
            local_node,
            configuration=ConnectionConfig(
                connection_id=OEFLocalConnection.connection_id, ),
            identity=agent.identity,
        )
        agent.resources.add_connection(connection)
        skill = make_skill(agent, handlers={handler_name: HttpPingPongHandler})
        agent.resources.add_skill(skill)
        agents.append(agent)
        skills[agent_name] = skill

    runner = AEARunner(agents, runner_mode)
    runner.start(threaded=True)

    for agent in agents:
        wait_for_condition(lambda: agent.is_running, timeout=5)
    wait_for_condition(lambda: runner.is_running, timeout=5)
    time.sleep(1)

    for agent1, agent2 in itertools.permutations(agents, 2):
        for _ in range(int(start_messages)):
            cast(
                HttpPingPongHandler,
                skills[agent1.identity.address].handlers[handler_name],
            ).make_request(agent2.identity.address)

    time.sleep(duration)

    mem_usage = get_mem_usage_in_mb()

    local_node.stop()
    runner.stop()

    total_messages = sum([
        cast(HttpPingPongHandler, skill.handlers[handler_name]).count
        for skill in skills.values()
    ])
    rate = total_messages / duration

    rtt_total_time = sum([
        cast(HttpPingPongHandler, skill.handlers[handler_name]).rtt_total_time
        for skill in skills.values()
    ])
    rtt_count = sum([
        cast(HttpPingPongHandler, skill.handlers[handler_name]).rtt_count
        for skill in skills.values()
    ])

    if rtt_count == 0:
        rtt_count = -1

    latency_total_time = sum([
        cast(HttpPingPongHandler,
             skill.handlers[handler_name]).latency_total_time
        for skill in skills.values()
    ])
    latency_count = sum([
        cast(HttpPingPongHandler, skill.handlers[handler_name]).latency_count
        for skill in skills.values()
    ])

    if latency_count == 0:
        latency_count = -1

    return [
        ("Total Messages handled", total_messages),
        ("Messages rate(envelopes/second)", rate),
        ("Mem usage(Mb)", mem_usage),
        ("RTT (ms)", rtt_total_time / rtt_count),
        ("Latency (ms)", latency_total_time / latency_count),
    ]
示例#5
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def run(duration, runtime_mode, runner_mode, start_messages, num_of_agents):
    """Test multiagent message exchange."""
    # pylint: disable=import-outside-toplevel,unused-import
    # import manually due to some lazy imports in decision_maker
    import aea.decision_maker.default  # noqa: F401

    local_node = LocalNode()
    local_node.start()

    agents = []
    skills = []

    for i in range(num_of_agents):
        agent = make_agent(agent_name=f"agent{i}", runtime_mode=runtime_mode)
        connection = OEFLocalConnection(
            local_node,
            configuration=ConnectionConfig(
                connection_id=OEFLocalConnection.connection_id, ),
            identity=agent.identity,
        )
        agent.resources.add_connection(connection)
        skill = make_skill(agent, handlers={"test": TestHandler})
        agent.resources.add_skill(skill)
        agents.append(agent)
        skills.append(skill)

    runner = AEARunner(agents, runner_mode)
    runner.start(threaded=True)

    for agent in agents:
        wait_for_condition(lambda: agent.is_running, timeout=5)
    wait_for_condition(lambda: runner.is_running, timeout=5)
    time.sleep(1)

    for agent1, agent2 in itertools.permutations(agents, 2):
        env = make_envelope(agent1.identity.address, agent2.identity.address)

        for _ in range(int(start_messages)):
            agent1.outbox.put(env)

    time.sleep(duration)

    mem_usage = get_mem_usage_in_mb()

    local_node.stop()
    runner.stop()

    total_messages = sum([skill.handlers["test"].count for skill in skills])
    rate = total_messages / duration

    rtt_total_time = sum(
        [skill.handlers["test"].rtt_total_time for skill in skills])
    rtt_count = sum([skill.handlers["test"].rtt_count for skill in skills])

    if rtt_count == 0:
        rtt_count = -1

    latency_total_time = sum(
        [skill.handlers["test"].latency_total_time for skill in skills])
    latency_count = sum(
        [skill.handlers["test"].latency_count for skill in skills])

    if latency_count == 0:
        latency_count = -1

    return [
        ("Total Messages handled", total_messages),
        ("Messages rate(envelopes/second)", rate),
        ("Mem usage(Mb)", mem_usage),
        ("RTT (ms)", rtt_total_time / rtt_count),
        ("Latency (ms)", latency_total_time / latency_count),
    ]