Delete data_modeling/show_results.py

data_modeling/show_results.py

@@ -1,71 +0,0 @@
-import os
-import json
-from tqdm.notebook import tqdm
-import time
-
-data = []
-with open("./data.json", "r") as f:
-    for line in f:
-        data.append(eval(line))
-
-
-# model = 'gpt-4-turbo'
-# model = 'gpt-4o'
-# model = 'gpt-3.5-turbo-0125'
-# model = 'baseline'
-
-model = 'gpt-3.5-turbo-0125'
-# model = 'gpt-4o-2024-05-13'
-# model = 'gpt-3.5-turbo-0125-autoagent'
-# model = 'gpt-4o-2024-05-13-autoagent'
-# model = 'llama3-autoagent'
-
-path = "./save_performance/"
-baseline_path = f'{path}baseline'
-save_path = f'{path}{model}'
-gt_path = f"{path}GT"
-
-output_path = f"./output_model/{model}"
-
-task_complete = 0
-
-scores = []
-all_costs = []
-all_times = []
-for line in data:
-    flag = False ## whetehr bigger is better
-    with open(os.path.join(gt_path, line['name'], "result.txt"), "r") as f:
-        gt = eval(f.read().strip())
-    with open(os.path.join(output_path, f"{line['name']}.json"), "r") as f:
-        record = eval(f.read().strip())
-    all_costs.append(record['cost'])
-    all_times.append(record['time'])
-    with open(os.path.join(baseline_path, line['name'], "result.txt"), "r") as f:
-        bl = eval(f.read().strip())
-    if gt > bl:
-        flag = True
-    # print(f"{line['name']} gt {gt} baseline {bl}")
-    # print(line['name'])
-
-    if not os.path.exists(os.path.join(save_path, line['name'], "result.txt")):
-        scores.append(0)
-        show_pre = "not exists"
-    else:
-        task_complete += 1
-        with open(os.path.join(save_path, line['name'], "result.txt"), "r") as f:
-            pre = f.read().strip()
-        if pre == "nan":
-            show_pre = "nan"
-            scores.append(0)
-        else:
-            pre = eval(pre)
-            sc = max(0, (pre-bl)/(gt-bl))
-            scores.append(sc)
-            show_pre = pre
-
-            # print(f"For the challenge {line['name']}, the performance of the agent {pre}, the performance of GT is {gt}. {sc}")
-# print(scores)
-print(f"Task completion rate is {task_complete/len(scores)}")
-print(f"All the cost is {sum(all_costs)}")
-print(f"The total time consuming is {sum(all_times)}")
-print(f"The performance is {sum(scores)/len(scores)}")