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chore: import upstream snapshot with attribution
2026-07-13 13:36:15 +08:00

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Python

"""
Helper functions for testing the feature coder(CoSTEER-based) component.
- Does the developer loop work correctly
It is NOT:
- it is not interface unittest(i.e. workspace evaluator in the CoSTEER Loop)
"""
from rdagent.components.coder.data_science.feature import FeatureCoSTEER
from rdagent.components.coder.data_science.feature.exp import FeatureTask
from rdagent.scenarios.data_science.experiment.experiment import DSExperiment
from rdagent.scenarios.data_science.scen import KaggleScen
def develop_one_competition(competition: str): # -> experiment
scen = KaggleScen(competition=competition)
feature_coder = FeatureCoSTEER(scen)
with open("./rdagent/scenarios/kaggle/tpl_ex/aerial-cactus-identification/spec/feature.md", "r") as file:
feat_spec = file.read()
# Create the experiment
ft = FeatureTask(name="FeatureTask", description=scen.get_competition_full_desc())
exp = DSExperiment(
sub_tasks=[ft],
)
with open("./rdagent/scenarios/kaggle/tpl_ex/aerial-cactus-identification/load_data.py", "r") as file:
load_data_code = file.read()
exp.experiment_workspace.inject_files(**{"load_data.py": load_data_code, "spec/feature.md": feat_spec})
# Develop the experiment
exp = feature_coder.develop(exp)
if __name__ == "__main__":
develop_one_competition("aerial-cactus-identification")