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run_evaluation_iter_workflow_refinement.py
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import json
import argparse
import subprocess
import os
dataset2root = {
'nyu_ctf_test': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset.json"},
'nyu_ctf_test_segment5_1': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment5_1.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment5_2': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment5_2.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment5_3': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment5_3.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment5_4': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment5_4.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment5_5': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment5_5.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_1': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_1.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_2': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_2.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_3': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_3.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_4': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_4.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_5': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_5.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_6': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_6.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_7': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_7.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_8': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_8.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_9': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_9.json"}, # for task parallel within one benchmark
'nyu_ctf_test_segment10_10': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/test_dataset_segment10_10.json"}, # for task parallel within one benchmark
'nyu_ctf_train': {"root_dir": "ctf-datasets/NYU_CTF_Bench/", "json_file": "ctf-datasets/NYU_CTF_Bench/development_dataset.json"},
'cybench': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench.json"},
'cybench_segment5_1': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment5_1.json"}, # for task parallel within one benchmark
'cybench_segment5_2': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment5_2.json"}, # for task parallel within one benchmark
'cybench_segment5_3': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment5_3.json"}, # for task parallel within one benchmark
'cybench_segment5_4': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment5_4.json"}, # for task parallel within one benchmark
'cybench_segment5_5': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment5_5.json"}, # for task parallel within one benchmark
'cybench_segment10_1': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_1.json"}, # for task parallel within one benchmark
'cybench_segment10_2': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_2.json"}, # for task parallel within one benchmark
'cybench_segment10_3': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_3.json"}, # for task parallel within one benchmark
'cybench_segment10_4': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_4.json"}, # for task parallel within one benchmark
'cybench_segment10_5': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_5.json"}, # for task parallel within one benchmark
'cybench_segment10_6': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_6.json"}, # for task parallel within one benchmark
'cybench_segment10_7': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_7.json"}, # for task parallel within one benchmark
'cybench_segment10_8': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_8.json"}, # for task parallel within one benchmark
'cybench_segment10_9': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_9.json"}, # for task parallel within one benchmark
'cybench_segment10_10': {"root_dir": "ctf-datasets/cybench/", "json_file": "ctf-datasets/cybench/cybench_segment10_10.json"}, # for task parallel within one benchmark
'intercode_ctf': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset.json"},
'intercode_ctf_segment5_1': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment5_1.json"}, # for task parallel within one benchmark
'intercode_ctf_segment5_2': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment5_2.json"}, # for task parallel within one benchmark
'intercode_ctf_segment5_3': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment5_3.json"}, # for task parallel within one benchmark
'intercode_ctf_segment5_4': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment5_4.json"}, # for task parallel within one benchmark
'intercode_ctf_segment5_5': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment5_5.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_1': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_1.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_2': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_2.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_3': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_3.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_4': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_4.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_5': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_5.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_6': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_6.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_7': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_7.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_8': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_8.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_9': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_9.json"}, # for task parallel within one benchmark
'intercode_ctf_segment10_10': {"root_dir": "ctf-datasets/Intercode_CTF/", "json_file": "ctf-datasets/Intercode_CTF/intercode_dataset_segment10_10.json"}, # for task parallel within one benchmark
}
def get_examples(json_file):
with open(json_file, 'r') as f:
data = json.load(f)
tasks = [elem for elem in data]
return tasks
if __name__ == '__main__':
args = argparse.ArgumentParser()
args.add_argument('--dataset', type=str, default='nyu_ctf_test')
args.add_argument('--model_name', type=str, default='gpt-4o-2024-05-13')
args.add_argument('--N', type=int, default=10)
args.add_argument('--config', type=str, default='config/local_config.yaml')
args.add_argument('--name', type=str, default=None)
args.add_argument('--round', type=int, default=None)
args.add_argument('--container_name', type=str, default='ctf_env')
args.add_argument('--network', type=str, default='ctfnet')
args.add_argument('--iter_prompt_refinement', action='store_true') # if True, use the iter_prompt_refinement and use customized prompt template.
args.add_argument('--iter_prompt_round', type=int, default=1) # the round of iter_prompt_refinement
args.add_argument('--adas-iter-round', type=str, default="1") # the round of ADAS
args.add_argument('--task_mask', type=str, default=None) # mask the task that are not needed
args = args.parse_args()
if args.dataset == 'nyu_ctf_test':
split = 'test'
elif args.dataset == 'nyu_ctf_train':
split = 'development'
else:
split = 'test'
# raise ValueError(f"Unknown dataset {args.dataset}")
args.adas_iter_round = int(args.adas_iter_round)
json_file = dataset2root[args.dataset]['json_file']
tasks = get_examples(json_file)
if args.iter_prompt_refinement:
assert 'intercode_ctf' in args.dataset, "iter_prompt_refinement only supports intercode_ctf dataset."
for i in range(len(tasks)):
task = tasks[i]
task_name = ("challenge_" + task.split(" ")[-1]).replace("#", "")
# Check if task_name is in any of the template files
template_dir = "llm_ctf/prompts/templates"
template_files = os.listdir(template_dir) if os.path.isdir(template_dir) else []
iter_prompt_set_name = f"iteration_{args.iter_prompt_round}_{task_name}"
task_in_template = any(iter_prompt_set_name == filename for filename in template_files)
prompt_set = iter_prompt_set_name if task_in_template else "default"
print(f"Running task {task}...")
subprocess.run([
'python', 'llm_ctf_solve_iter_workflow_refinement.py',
'--dataset', json_file,
'--model', args.model_name,
'--challenge', task,
'--split', split,
'--name', args.name,
'-c', args.config,
'-i', f"{args.round}",
'-m', f"{args.N}",
'--container-name', args.container_name,
'--network', args.network,
'--prompt-set', prompt_set,
'--adas-iter-round', f"{args.adas_iter_round}",
])
else:
for i in range(len(tasks)):
task = tasks[i]
if 'intercode_ctf' in args.dataset:
task_name = ("challenge_" + task.split(" ")[-1]).replace("#", "")
if args.task_mask:
with open(args.task_mask, 'r') as f:
task_mask = [line.strip() for line in f.readlines()]
if task_name in task_mask:
print(f"Skipping task {task}...")
continue
print(f"Running task {task}...")
if args.dataset in ['nyu_ctf_test', 'nyu_ctf_train']:
subprocess.run([
'python', 'llm_ctf_solve_iter_workflow_refinement.py',
'--model', args.model_name,
'--challenge', task,
'--split', split,
'--name', args.name,
'-c', args.config,
'-i', f"{args.round}",
'-m', f"{args.N}",
'--container-name', args.container_name,
'--network', args.network,
'--adas-iter-round', f"{args.adas_iter_round}",
])
else:
subprocess.run([
'python', 'llm_ctf_solve_iter_workflow_refinement.py',
'--dataset', json_file,
'--model', args.model_name,
'--challenge', task,
'--split', split,
'--name', args.name,
'-c', args.config,
'-i', f"{args.round}",
'-m', f"{args.N}",
'--container-name', args.container_name,
'--network', args.network,
'--adas-iter-round', f"{args.adas_iter_round}",
])