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Visualisation

Hades largely leaves visualisation up to the user. However it does provide some batteries for a few different options.

  1. Visualising using recorded events and event results from the Hades instance (useful for building graphs of events and simulation level visualisation).
  2. Visualising using the state of a process (useful for matplotlib / notebook rendering of individual processes).
  3. Visualising live using a process or a subclass of Hades like HadesWS. (useful for live rendering of long running simulations)

Visualising using Hades recorded events

Hades can record events and their results. See hades.event_results and hades.event_history.

This can be used to reconstruct a simulation as it happened or visualise the structure of the simulation itself based on responses.

Tests demonstrating networkx DiGraph creation and mermaid rendering based on recorded events
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#      http://www.apache.org/licenses/LICENSE-2.0
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# See the License for the specific language governing permissions and
# limitations under the License.

import pytest

from hades import Hades
from hades.time import QuarterStartScheduler, YearStartScheduler
from hades.visualisation.networkx import to_digraph, write_mermaid


@pytest.fixture
async def simple_sim():
    hades = Hades()
    hades.register_process(YearStartScheduler(start_year=2021))
    hades.register_process(QuarterStartScheduler())

    await hades.run()
    return hades


async def test_hades_process_events_to_digraph_for_simple_sim(simple_sim):
    digraph = to_digraph(simple_sim)
    expected_nodes = (
        "HadesInternalProcess - 7970269937446031133269215595648805179",
        "YearStartScheduler - 332231294394531790607923355838092946842",
        "QuarterStartScheduler - 7836064115094481643618470001379502846",
    )
    expected_edges = (
        (
            "HadesInternalProcess - 7970269937446031133269215595648805179",
            "YearStartScheduler - 332231294394531790607923355838092946842",
            0,
        ),
        (
            "HadesInternalProcess - 7970269937446031133269215595648805179",
            "YearStartScheduler - 332231294394531790607923355838092946842",
            1,
        ),
        (
            "YearStartScheduler - 332231294394531790607923355838092946842",
            "QuarterStartScheduler - 7836064115094481643618470001379502846",
            0,
        ),
    )
    assert tuple(digraph.nodes) == expected_nodes
    assert tuple(digraph.edges) == expected_edges


def test_digraph_to_mermaid_for_simple_sim(simple_sim):
    assert (
        write_mermaid(to_digraph(simple_sim))
        == """graph LR
HadesInternalProcess-7970269937446031133269215595648805179(HadesInternalProcess - 7970269937446031133269215595648805179) -- SimulationEnded --> YearStartScheduler-332231294394531790607923355838092946842(YearStartScheduler - 332231294394531790607923355838092946842)
HadesInternalProcess-7970269937446031133269215595648805179(HadesInternalProcess - 7970269937446031133269215595648805179) -- SimulationStarted --> YearStartScheduler-332231294394531790607923355838092946842(YearStartScheduler - 332231294394531790607923355838092946842)
YearStartScheduler-332231294394531790607923355838092946842(YearStartScheduler - 332231294394531790607923355838092946842) -- YearStarted --> QuarterStartScheduler-7836064115094481643618470001379502846(QuarterStartScheduler - 7836064115094481643618470001379502846)"""
    )

Visualising using the state of a process

Processes can be inspected after (or during a simulation) and used for visualisation. Boids Example

An example of visualisation using process state can be seen in the boids example history collector process.

Visualising live interactions

Processes can also be set up to asynchronously share events to clients for custom frontends. See the WebSocketProcess.

Alternatively, Hades can be sub-classed to act as a server. This way all events and their results can be output to clients as they happen. See HadesWS

This style of visualisation is demonstrated in the boids example too