  import Basilisk.utilities.MonteCarlo as mc
import scenario_AttFeedback as sc

def run(show_plots):
    # Create a Monte Carlo simulation controller
    controller = mc.Controller()

    # Set the simulation and execution functions
    controller.setSimulationFunction(sc.simulate)
    controller.setExecutionFunction(sc.execute)

    # Set the execution count
    controller.setExecutionCount(1000)

    # Set the archive directory
    controller.setArchiveDirectory("./archive")

    # Set the seed dispersion
    controller.setShouldDisperseSeeds(True)

    # Set the thread count
    controller.setThreadCount(4)

    # Set the verbosity
    controller.setVerbosity(mc.Verbosity.LOW)

    # Set the variable casting
    controller.setVariableCasting(mc.VariableCasting.DOUBLE)

    # Set the dispersion magnitude file
    controller.setDispersionMagnitudeFile("./dispersion_magnitude.txt")

    # Define a list of dispersions
    dispersions = [
        mc.Dispersions.BOX_AND_WING,
        mc.Dispersions.BOX_AND_WING_PRIME,
        mc.Dispersions.A_STAR,
        mc.Dispersions.EIGEN_AXIS_AND_ANGLE_TO_DCM,
        mc.Dispersions.SEPERATE_FILES_AND_DIRS,
        mc.Dispersions.SC_CONNECTED_AND_UNCONNECTED,
        mc.Dispersions.PULL_AND_FORMAT_DF,
        mc.Dispersions.SCTRANS_AND_ROTATION,
        mc.Dispersions.PARSE_AND_LOAD_XML,
        mc.Dispersions.AS_EIGEN,
        mc.Dispersions.EFFORT_BASED_A_STAR,
        mc.Dispersions.TEST_MONTE_CARLO_SIMULATION,
        mc.Dispersions.TEST_MONTE_CARLO_SIMULATION_DATASHADER,
        mc.Dispersions.EXT_FORCE_INERTIAL_AND_TORQUE,
        mc.Dispersions.EXT_FORCE_BODY_AND_TORQUE
    ]

    # Add the dispersions to the Monte Carlo controller
    for dispersion in dispersions:
        controller.addDispersion(dispersion)

    # Create a retention policy
    retention_policy = mc.RetentionPolicy()

    # Add message logs to the retention policy
    retention_policy.addMessageLog(mc.MessageLog.SIMULATION_START)
    retention_policy.addMessageLog(mc.MessageLog.SIMULATION_END)
    retention_policy.addMessageLog(mc.MessageLog.EXECUTION_START)
    retention_policy.addMessageLog(mc.MessageLog.EXECUTION_END)
    retention_policy.addMessageLog(mc.MessageLog.DISPERSION_START)
    retention_policy.addMessageLog(mc.MessageLog.DISPERSION_END)

    # Set the data callback
    retention_policy.setDataCallback(mc.DataCallback.SIMULATION_DATA)

    # Add the retention policy to the Monte Carlo controller
    controller.addRetentionPolicy(retention_policy)

    # Execute the simulations
    controller.execute()

    # Execute callbacks if 'show_plots' is True
    if show_plots:
        controller.executeCallbacks()

    # Return
    return

def displayPlots(data, retention_policy):
    # Extract time and states from the data
    time = data["time"]
    states = data["states"]

    # Plot the states against time
    plt.plot(time, states)
    plt.xlabel("Time")
    plt.ylabel("States")
    plt.show()

    # Return
    return

if __name__ == "__main__":
    # Run the 'run' function with 'True' as the argument
    run(True)

    # Return
    return