DataPilot-AI-Agent / tests /test_workflow.py
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from pathlib import Path
from datapilot.config import Settings
from datapilot.data import load_sample
from datapilot.workflow import run_analysis
def test_end_to_end_classification_workflow(tmp_path: Path):
frame, target, name = load_sample("iris")
settings = Settings(
artifact_root=tmp_path / "artifacts",
database_url=f"sqlite:///{(tmp_path / 'runs.db').as_posix()}",
max_critic_retries=0,
optuna_trials=0,
)
result = run_analysis(frame, target, name, settings)
assert result.status == "completed"
assert result.best_model
assert result.model_results[0].primary_score >= 0
assert result.critic.approved
assert Path(result.artifacts["pipeline"]).exists()
assert Path(result.artifacts["model_card"]).exists()
assert any(item["agent"] == "Evaluation / Critic Agent" for item in result.trace)