State Path Traceability Engine

The problem

It is difficult to figure out exactly which series of steps led to a specific final result. This makes it hard to trace the history of how a situation reached its current state.

What it does

It looks at a final outcome and works backward to map out the specific sequence of actions taken to get there. It prints a clear timeline of every step and the change it caused.

Why it matters

It provides a clear map of the path taken to reach a specific result.

Validation

It was run inside an isolated container with no network access. This is the exact command and the real output it produced — captured process output, not written by a model.

$ python3 state_path_traceability_engine.py
Path to target_state:
action1 --initial--> action1
action2 --state1--> action2
action3 --state2--> action3

A screenshot of that run.

A clean run proves this does what is shown above, in a CPU-only sandbox. It is a small research demo — not a production tool, and nothing here was published anywhere.

The code

All of it — 32 lines, one file, standard library only.

# State Path Traceability Engine

class StatePathTraceabilityEngine:
    def __init__(self):
        self.transitions = []
    
    def log_transition(self, from_state, action, to_state):
        self.transitions.append((from_state, action, to_state))
    
    def get_path(self, target_state):
        path = []
        current_state = target_state
        for transition in reversed(self.transitions):
            prev_state, action, next_state = transition
            if next_state == current_state:
                path.append((action, prev_state))
                current_state = prev_state
        return [(action, from_state) for from_state, action in reversed(path)]

# Example usage
if __name__ == "__main__":
    engine = StatePathTraceabilityEngine()
    engine.log_transition("initial", "action1", "state1")
    engine.log_transition("state1", "action2", "state2")
    engine.log_transition("state2", "action3", "target_state")
    
    target = "target_state"
    path = engine.get_path(target)
    
    print(f"Path to {target}:")
    for action, state in path:
        print(f"{state} --{action}--> {state}")