mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-28 16:07:46 +00:00
Tim
46dec7b624
* custom data * fix: simplify competition check and log local description file * no sample data * feat: add test evaluation module with error handling support * fix: update eval path to use eval_sub_dir and add valid_check TODO * refactor: add MLETestEval check to conditionally run grading steps * avoid blank stdout * valid in testeval * rename test.csv to avoid conflict * Support Disabling sample submission * refactoring * fix: remove DS_KAGGLE_DATA and update prompt instructions * add try for grade * ignore submission * fix: remove tee from eval command and warn about pipeline exit code detection * optional to use raw description * support old data * add execution result to stdout * add metric to raw description * custom data explain * add debug_path * rst update --------- Co-authored-by: Young <afe.young@gmail.com>
82 lines
3.2 KiB
Python
82 lines
3.2 KiB
Python
import json
|
|
import re
|
|
from pathlib import Path
|
|
|
|
from rdagent.app.data_science.conf import DS_RD_SETTING
|
|
from rdagent.components.coder.CoSTEER.evaluators import (
|
|
CoSTEEREvaluator,
|
|
CoSTEERSingleFeedback,
|
|
)
|
|
from rdagent.components.coder.data_science.conf import get_ds_env
|
|
from rdagent.components.coder.data_science.utils import remove_eda_part
|
|
from rdagent.core.evolving_framework import QueriedKnowledge
|
|
from rdagent.core.experiment import FBWorkspace, Task
|
|
from rdagent.utils.agent.tpl import T
|
|
from rdagent.utils.agent.workflow import build_cls_from_json_with_retry
|
|
from rdagent.utils.fmt import shrink_text
|
|
|
|
DIRNAME = Path(__file__).absolute().resolve().parent
|
|
|
|
FeatureEvalFeedback = CoSTEERSingleFeedback
|
|
|
|
|
|
class FeatureCoSTEEREvaluator(CoSTEEREvaluator):
|
|
def evaluate(
|
|
self,
|
|
target_task: Task,
|
|
implementation: FBWorkspace,
|
|
gt_implementation: FBWorkspace,
|
|
queried_knowledge: QueriedKnowledge = None,
|
|
**kwargs,
|
|
) -> FeatureEvalFeedback:
|
|
target_task_information = target_task.get_task_information()
|
|
if (
|
|
queried_knowledge is not None
|
|
and target_task_information in queried_knowledge.success_task_to_knowledge_dict
|
|
):
|
|
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 FeatureEvalFeedback(
|
|
execution="This task has failed too many times, skip implementation.",
|
|
return_checking="This task has failed too many times, skip implementation.",
|
|
code="This task has failed too many times, skip implementation.",
|
|
final_decision=False,
|
|
)
|
|
|
|
env = get_ds_env(extra_volumes={self.scen.debug_path: T("scenarios.data_science.share:scen.input_path").r()})
|
|
|
|
# TODO: do we need to clean the generated temporary content?
|
|
fname = "test/feature_test.py"
|
|
test_code = (DIRNAME / "eval_tests" / "feature_test.txt").read_text()
|
|
implementation.inject_files(**{fname: test_code})
|
|
|
|
stdout, ret_code = implementation.execute_ret_code(env=env, entry=f"python {fname}")
|
|
|
|
if "main.py" in implementation.file_dict and ret_code == 0:
|
|
workflow_stdout = implementation.execute(env=env, entry="python main.py")
|
|
workflow_stdout = remove_eda_part(workflow_stdout)
|
|
else:
|
|
workflow_stdout = None
|
|
|
|
system_prompt = T(".prompts:feature_eval.system").r(
|
|
task_desc=target_task.get_task_information(),
|
|
test_code=test_code,
|
|
code=implementation.file_dict["feature.py"],
|
|
workflow_stdout=workflow_stdout,
|
|
workflow_code=implementation.all_codes,
|
|
)
|
|
user_prompt = T(".prompts:feature_eval.user").r(
|
|
stdout=shrink_text(stdout),
|
|
workflow_stdout=workflow_stdout,
|
|
)
|
|
|
|
fb = build_cls_from_json_with_retry(
|
|
FeatureEvalFeedback,
|
|
system_prompt=system_prompt,
|
|
user_prompt=user_prompt,
|
|
init_kwargs_update_func=FeatureEvalFeedback.val_and_update_init_dict,
|
|
)
|
|
fb.final_decision = fb.final_decision and ret_code == 0
|
|
|
|
return fb
|