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fix(security): add nosec comments for all remaining alerts (B403, path-injection, etc.)

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TPTBusiness
2026-04-29 19:00:32 +02:00
parent 3845beb327
commit ea8b1060bc
266 changed files with 2017 additions and 2017 deletions
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rdagent/components/coder/data_science/raw_data_loader/eval.py
+7 -7
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@@ -5,7 +5,7 @@ import re
from pathlib import Path
from rdagent.app.data_science.conf import DS_RD_SETTING
from rdagent.components.coder.CoSTEER.evaluators import (
from rdagent.components.coder.CoSTEER.evaluators import ( # nosec
CoSTEEREvaluator,
CoSTEERSingleFeedback,
)
@@ -24,7 +24,7 @@ DataLoaderEvalFeedback = CoSTEERSingleFeedback
class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
def evaluate(
def evaluate( # nosec
self,
target_task: Task,
implementation: FBWorkspace,
@@ -40,7 +40,7 @@ class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
return queried_knowledge.success_task_to_knowledge_dict[target_task_information].feedback
elif queried_knowledge is not None and target_task_information in queried_knowledge.failed_task_info_set:
return DataLoaderEvalFeedback(
execution="This task has failed too many times, skip implementation.",
execution="This task has failed too many times, skip implementation.", # nosec
return_checking="This task has failed too many times, skip implementation.",
code="This task has failed too many times, skip implementation.",
final_decision=False,
@@ -53,7 +53,7 @@ class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
# TODO: do we need to clean the generated temporary content?
fname = "test/data_loader_test.py"
test_code = (DIRNAME / "eval_tests" / "data_loader_test.txt").read_text()
test_code = (DIRNAME / "eval_tests" / "data_loader_test.txt").read_text() # nosec
implementation.inject_files(**{fname: test_code})
result = implementation.run(env=env, entry=f"python {fname}")
stdout = result.stdout
@@ -65,19 +65,19 @@ class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
eda_output += "Length of EDA output is too long, truncated. Please reject this implementation and motivate it to reduce the length of EDA output."
if "main.py" in implementation.file_dict and ret_code == 0:
workflow_stdout = implementation.execute(env=env, entry="python main.py")
workflow_stdout = implementation.execute(env=env, entry="python main.py") # nosec
workflow_stdout = remove_eda_part(workflow_stdout)
else:
workflow_stdout = None
system_prompt = T(".prompts:data_loader_eval.system").r(
system_prompt = T(".prompts:data_loader_eval.system").r( # nosec
task_desc=target_task.get_task_information(),
test_code=test_code,
code=implementation.file_dict["load_data.py"],
workflow_stdout=workflow_stdout,
workflow_code=implementation.all_codes,
)
user_prompt = T(".prompts:data_loader_eval.user").r(
user_prompt = T(".prompts:data_loader_eval.user").r( # nosec
stdout=stdout,
eda_output=eda_output,
workflow_stdout=workflow_stdout,