| |
|
|
| import simpy |
| import os |
| import json |
| import numpy as np |
|
|
| from modules.process.production_line import ProductionLine |
| from modules.components.clock import Clock |
|
|
| NUMBER_OF_RUNS = 100000 |
|
|
| os.makedirs("numpy_data/runs_with_errors", exist_ok=True) |
| os.makedirs("numpy_data/correct_runs", exist_ok=True) |
|
|
| |
| production_line = ProductionLine(None, None, False) |
| clock = Clock(None, None, False) |
| all_event_types = clock.get_events() + production_line.get_events() |
| event_id_for_type = dict() |
| for event_index, event_type in enumerate(all_event_types): |
| event_id_for_type[event_type] = event_index |
|
|
| max_length_correct = 0 |
| min_length_correct = None |
| for run in range(NUMBER_OF_RUNS): |
| print(f"Converting correct run {run}/{NUMBER_OF_RUNS}") |
| filename = f"data/correct_runs/{run}.json" |
| numpy_filename = f"numpy_data/correct_runs/{run}.npy" |
| with open(filename, "r") as json_run_file: |
| events = json.load(json_run_file) |
| run = [] |
| for event in events: |
| timestamp = event["timestamp"] |
| event_type = event["type"] |
| event_id = event_id_for_type[event_type] |
| |
| run.append(np.array(event_id)) |
| numpy_run = np.stack(run) |
| if len(run) > max_length_correct: |
| max_length_correct = len(run) |
| if min_length_correct is None or len(run) < min_length_correct: |
| min_length_correct = len(run) |
|
|
| np.save(numpy_filename, numpy_run) |
|
|
| max_length_faulty = 0 |
| min_length_faulty = None |
| for run in range(NUMBER_OF_RUNS): |
| print(f"Converting faulty run {run}/{NUMBER_OF_RUNS}") |
| filename = f"data/runs_with_errors/{run}.json" |
| numpy_filename = f"numpy_data/runs_with_errors/{run}.npy" |
| with open(filename, "r") as json_run_file: |
| events = json.load(json_run_file) |
| run = [] |
| for event in events: |
| timestamp = event["timestamp"] |
| event_type = event["type"] |
| event_id = event_id_for_type[event_type] |
| |
| run.append(np.array(event_id)) |
| numpy_run = np.stack(run) |
| if len(run) > max_length_faulty: |
| max_length_faulty = len(run) |
| if min_length_faulty is None or len(run) < min_length_faulty: |
| min_length_faulty = len(run) |
|
|
| np.save(numpy_filename, numpy_run) |
|
|
| print(f"Correct runs: Max run length: {max_length_correct}, Min run length: {min_length_correct}") |
| print(f"Runs with errors: Max run length: {max_length_faulty}, Min run length: {min_length_faulty}") |
| print("Done.") |
|
|
