State Recording

[SeanMcOwen]

From DIPR:

The simulation records the state of the system at each time step, capturing metrics such as completed rides, total distance traveled, and total cost.
These metrics are used to evaluate the performance of the system and compare different routing strategies.

Notes from Sean:

• I have a few implementations of logging I can show that might be helpful
• Also a feature I have added in the past is a DEBUG_MODE parameter for logging the entire state after blocks
• But for larger simulations only saving the history of important metrics and variables will be a much better way to go, otherwise storage blows up
• Metrics can be possibly handled post simulation with the metric functions feature of simulation running

Tasks:

• Create the state logging mechanisms #44
• Define out the metrics for system success #43

[SeanMcOwen]

Also some code:

def record_state(self, current_time):
    completed_rides = len(self.completed_rides)
    total_distance = sum([ride.metadata['distance_km'] for ride in self.completed_rides])
    total_cost = sum([ride.metadata['cost_usd'] for ride in self.completed_rides])
    self.state_map.record_state(current_time, completed_rides, total_distance, total_cost)