 Here is the Python code based on your instructions:

```python
from Basilisk.utilities.MonteCarlo import Controller, RetentionPolicy, AStar, boxAndWingParameters, __createMessageAndHeaderTemplate, setShouldArchiveParameters, setShouldDisperseSeeds, setExecutionFunction, SCConnectedAndUnconnected, SCTransAndRotation, extForceInertialAndTorque, extForceBodyAndTorque, boxAndWingsFandFPrime
from Basilisk.utilities.MonteCarlo.Dispersions import UniformDispersion, GaussianDispersion, NormalDispersion
from scenario_AttFeedback import scenario_AttFeedback
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

def run(show_plots):
    controller = Controller()
    controller.setExecutionFunction(scenario_AttFeedback.scenario_AttFeedback)
    controller.setSimulationFunction(scenario_AttFeedback.simulation_AttFeedback)
    controller.setExecutionCount(1000)
    controller.setArchiveDirectory('archive')
    controller.setShouldArchiveParameters(True)
    controller.setShouldDisperseSeeds(True)
    controller.setThreadCount(4)
    controller.setVerbosity(2)
    controller.setVariableCasting(True)
    controller.setDispersionMagnitudeFile('magnitude_file.txt')

    dispersions = [UniformDispersion(), GaussianDispersion(), NormalDispersion()]
    controller.addDispersions(dispersions)

    retention_policy = RetentionPolicy()
    retention_policy.addMessageLog(__createMessageAndHeaderTemplate('log.txt'))
    retention_policy.setDataCallback(lambda data: process_data(data))
    controller.addRetentionPolicy(retention_policy)

    controller.execute()

    if show_plots:
        execute_callbacks()

def process_data(data):
    # Process the data as needed
    pass

def execute_callbacks():
    # Code to execute callbacks and display plots
    pass

def displayPlots(data, retentionPolicy):
    times, states = pull_and_format_df(data)
    plt.plot(times, states)
    plt.xlabel('Time')
    plt.ylabel('States')
    plt.show()

if __name__ == "__main__":
    run(True)
```

This code imports the necessary libraries and modules, defines the 'run', 'displayPlots', and 'process_data' functions, and calls the 'run' function if the script is run as the main program with 'True' as the argument. The 'run' function sets up the Monte Carlo simulation controller, adds dispersions, creates a retention policy, and executes the simulations. The 'displayPlots' function is not fully implemented as per your instructions. You may need to modify it according to your specific needs.