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fix: fix some bugs in workflow unit test (#624)

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* fix some bugs in workflow unit test

* fix ci
This commit is contained in:
Yuante Li
2025-02-20 15:42:17 +08:00
committed by GitHub
parent 0631de5103
commit b42c395267
2 changed files with 29 additions and 26 deletions
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rdagent/components/coder/data_science/workflow/eval.py
+25 -20
View File
@@ -77,8 +77,10 @@ class WorkflowGeneralCaseSpecEvaluator(CoSTEEREvaluator):
# Check score file
score_fp = implementation.workspace_path / "scores.csv"
score_ret_code = 0
if not score_fp.exists():
stdout += "\nMetrics file (scores.csv) is not generated."
stdout += "\n[Error] Metrics file (scores.csv) is not generated!"
score_ret_code = 1
else:
try:
score_df = pd.read_csv(score_fp, index_col=0)
@@ -89,29 +91,30 @@ class WorkflowGeneralCaseSpecEvaluator(CoSTEEREvaluator):
for model in model_set_in_folder:
if model not in model_set_in_scores:
stdout += f"\nModel {model} is not evaluated in the scores.csv. The scores.csv has {model_set_in_scores}."
score_ret_code = 1
except Exception as e:
stdout += f"\nError in checking the scores.csv file: {e}\nscores.csv's content:\n-----\n{score_fp.read_text()}\n-----"
score_ret_code = 1
# Check submission file
submission_fp = implementation.workspace_path / "submission.csv"
if not submission_fp.exists():
stdout += "\nSubmission file (submission.csv) is not generated."
else:
base_check_code = (DIRNAME / "eval_tests" / "submission_format_test.txt").read_text()
implementation.inject_files(**{"test/submission_format_test.py": base_check_code})
# stdout += "----Submission Check 1-----\n"
stdout += implementation.execute(env=de, entry="python test/submission_format_test.py")
base_check_code = (DIRNAME / "eval_tests" / "submission_format_test.txt").read_text()
implementation.inject_files(**{"test/submission_format_test.py": base_check_code})
# stdout += "----Submission Check 1-----\n"
submission_stdout, submission_ret_code = implementation.execute_ret_code(
env=de, entry="python test/submission_format_test.py"
)
stdout += submission_stdout
# MLEBench Check
# !!! Since we are running on a sampled dataset, mlebench check is not required.
# mle_check_code = (
# (DIRNAME / "eval_tests" / "mle_submission_format_test.txt")
# .read_text()
# .replace("<competition_id>", self.scen.competition)
# )
# implementation.inject_files(**{"test/mle_submission_format_test.py": mle_check_code})
# stdout += "----Submission Check 2-----\n"
# stdout += implementation.execute(env=mde, entry=f"python test/mle_submission_format_test.py")
# MLEBench Check
# !!! Since we are running on a sampled dataset, mlebench check is not required.
# mle_check_code = (
# (DIRNAME / "eval_tests" / "mle_submission_format_test.txt")
# .read_text()
# .replace("<competition_id>", self.scen.competition)
# )
# implementation.inject_files(**{"test/mle_submission_format_test.py": mle_check_code})
# stdout += "----Submission Check 2-----\n"
# stdout += implementation.execute(env=mde, entry=f"python test/mle_submission_format_test.py")
system_prompt = T(".prompts:workflow_eval.system").r(
scenario=self.scen.get_scenario_all_desc(),
@@ -122,6 +125,8 @@ class WorkflowGeneralCaseSpecEvaluator(CoSTEEREvaluator):
stdout=stdout.strip(),
code=implementation.file_dict["main.py"],
)
return build_cls_from_json_with_retry(
wfb = build_cls_from_json_with_retry(
WorkflowSingleFeedback, system_prompt=system_prompt, user_prompt=user_prompt
)
wfb.final_decision = wfb.final_decision and submission_ret_code == 0 and score_ret_code == 0
return wfb
rdagent/components/coder/data_science/workflow/eval_tests/submission_format_test.txt
+4 -6
View File
@@ -20,9 +20,7 @@ input_dir = Path("/kaggle/input")
sample_submission_files = list(input_dir.glob("*sample_submission*.csv")) + \
list(input_dir.glob("*sampleSubmission*.csv"))
if not sample_submission_files:
print("Error: No sample submission file found in /kaggle/input/")
exit(1)
assert sample_submission_files, "Error: No sample submission file found in /kaggle/input/"
# Use first matching file
sample_submission_name = sample_submission_files[0].name
@@ -30,10 +28,10 @@ SAMPLE_SUBMISSION_PATH = str(sample_submission_files[0])
print(f"Using sample submission file: {sample_submission_name}")
# Check if the sample submission file exists
if not Path(SAMPLE_SUBMISSION_PATH).exists():
print(f"Error: {sample_submission_name} not found at {SAMPLE_SUBMISSION_PATH}")
exit(0)
assert Path(SAMPLE_SUBMISSION_PATH).exists(), f"Error: {sample_submission_name} not found at {SAMPLE_SUBMISSION_PATH}"
# Check if our submission file exists
assert Path('submission.csv').exists(), "Error: submission.csv not found"
sample_submission = pd.read_csv(SAMPLE_SUBMISSION_PATH)
our_submission = pd.read_csv('submission.csv')