model.py

# Based on: https://github.com/allenai/s2-folks/tree/main/examples/python
#
#

from neuromllite.utils import load_simulation_json
from neuromllite.utils import load_network_json
from neuromllite.NetworkGenerator import generate_and_run

MODELS = {
    "Muscle model": [
        "models/Sim_IClamp_GenericMuscleCell.json",
        "models/IClamp_GenericMuscleCell.json",
    ],
    "Neuron model": [
        "models/Sim_IClamp_GenericNeuronCell.json",
        "models/IClamp_GenericNeuronCell.json",
    ],
}


def run_model(text, model, verbose=False):
    info = """Running [%s] with parameter: [%s]...

""" % (
        model,
        text,
    )

    print(info)

    sim_file = MODELS[model][0]
    net_file = MODELS[model][1]

    sim = load_simulation_json(sim_file)
    net = load_network_json(net_file)

    net.parameters["stim_amp"] = text.strip()

    if verbose:
        info += """```%s```

""" % sim.to_json()
        info += """```%s```

""" % net.to_json()

    traces, events = generate_and_run(
        sim,
        network=net,
        simulator="jNeuroML",
        base_dir="./models",
        target_dir="./models",
        return_results=True,
    )

    # info+="""Results returned: %s"""%(list(traces.keys()))
    info += """Finished simulation!"""

    print(info)

    return info, traces, events