GSW_AI_LAB/tempest-py/examples/shields/02_post_shield_extraction.py

import stormpy
import stormpy.core
import stormpy.simulator


import stormpy.shields

import stormpy.examples
import stormpy.examples.files


"""

Example for the extraction of a Post Safety Shield 
from a model checking result and querying the shield 
for allowed actions.

"""


def post_shield_extraction():
    path = stormpy.examples.files.prism_mdp_lava_simple
    formula_str = "Pmax=? [G !\"AgentIsInLavaAndNotDone\"]"

    program = stormpy.parse_prism_program(path)
    formulas = stormpy.parse_properties_for_prism_program(formula_str, program)

    options = stormpy.BuilderOptions([p.raw_formula for p in formulas])
    options.set_build_state_valuations(True)
    options.set_build_choice_labels(True)
    options.set_build_all_labels()
    model = stormpy.build_sparse_model_with_options(program, options)

    initial_state = model.initial_states[0]
    assert initial_state == 0
    
    shield_specification = stormpy.logic.ShieldExpression(stormpy.logic.ShieldingType.POST_SAFETY, stormpy.logic.ShieldComparison.RELATIVE, 0.9) 
    result = stormpy.model_checking(model, formulas[0], extract_scheduler=True, shield_expression=shield_specification)
    assert result.has_scheduler
    assert result.has_shield
    
    shield = result.shield
    post_scheduler = shield.construct()
  
    for state_id in model.states:
        choices = post_scheduler.get_choice(state_id)
        print(F"Applied corrections in state {state_id}, are {choices.choice_map} ")



if __name__ == '__main__':
    post_shield_extraction()