Zekun Wu commited on
Commit
cb1e0b7
1 Parent(s): 0bceca6
Files changed (1) hide show
  1. util/injection.py +4 -6
util/injection.py CHANGED
@@ -69,8 +69,8 @@ def invoke_retry(prompt, agent, parameters,string_input=False):
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  while attempts < max_attempts:
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  try:
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  score_text = agent.invoke(prompt, **parameters)
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- print(f"Score text: {score_text}")
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- print("=============================================================")
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  if string_input:
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  return score_text
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  score = re.search(r'\d+', score_text)
@@ -91,7 +91,6 @@ def process_scores_multiple(df, num_run, parameters, privilege_label, protect_la
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  scores = {key: [[] for _ in range(len(df))] for key in ['Privilege_characteristics', 'Privilege_normal',
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  'Protect_characteristics', 'Protect_normal',
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  'Neutral_characteristics', 'Neutral_normal']}
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- print(f"Scores: {scores}")
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  for run in tqdm(range(num_run), desc="Processing runs", unit="run"):
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  for index, (idx, row) in tqdm(enumerate(df.iterrows()), total=len(df), desc="Processing entries", unit="entry"):
@@ -103,15 +102,14 @@ def process_scores_multiple(df, num_run, parameters, privilege_label, protect_la
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  charateristics = create_charateristics('\n'.join(summary), group_name, occupation, agent, parameters)
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- #charateristics = "This is a test. This is only a test."
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  for key, label in zip(['Privilege', 'Protect', 'Neutral'], [privilege_label, protect_label, False]):
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  prompt_charateristics = create_summary(group_name, label, occupation, charateristics)
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  prompt_normal = create_summary(group_name, label, occupation, '\n'.join(summary))
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- print(f"Run {run + 1} - Entry {index + 1} - {key}")
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- print("=============================================================")
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  result_charateristics = invoke_retry(prompt_charateristics, agent, parameters)
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  result_normal = invoke_retry(prompt_normal, agent, parameters)
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  scores[key+"_characteristics"][index].append(result_charateristics)
 
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  while attempts < max_attempts:
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  try:
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  score_text = agent.invoke(prompt, **parameters)
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+ # print(f"Score text: {score_text}")
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+ # print("=============================================================")
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  if string_input:
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  return score_text
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  score = re.search(r'\d+', score_text)
 
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  scores = {key: [[] for _ in range(len(df))] for key in ['Privilege_characteristics', 'Privilege_normal',
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  'Protect_characteristics', 'Protect_normal',
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  'Neutral_characteristics', 'Neutral_normal']}
 
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  for run in tqdm(range(num_run), desc="Processing runs", unit="run"):
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  for index, (idx, row) in tqdm(enumerate(df.iterrows()), total=len(df), desc="Processing entries", unit="entry"):
 
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  charateristics = create_charateristics('\n'.join(summary), group_name, occupation, agent, parameters)
 
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  for key, label in zip(['Privilege', 'Protect', 'Neutral'], [privilege_label, protect_label, False]):
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  prompt_charateristics = create_summary(group_name, label, occupation, charateristics)
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  prompt_normal = create_summary(group_name, label, occupation, '\n'.join(summary))
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+ # print(f"Run {run + 1} - Entry {index + 1} - {key}")
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+ # print("=============================================================")
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  result_charateristics = invoke_retry(prompt_charateristics, agent, parameters)
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  result_normal = invoke_retry(prompt_normal, agent, parameters)
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  scores[key+"_characteristics"][index].append(result_charateristics)