"""训练数据集构建。"""

from defect_analysis.ml.features import build_feature_frame
from defect_analysis.schemas import normalize_defect_schema


def build_target_series(df, *, target_defect_type=None, target_severity=None):
    normalized = normalize_defect_schema(df)
    if target_defect_type:
        return (normalized["defect_type"] == target_defect_type).astype(int)
    if target_severity:
        return (normalized["severity"] == target_severity).astype(int)
    return (normalized["severity"] == "严重").astype(int)


def build_supervised_dataset(df, *, target_defect_type=None, target_severity=None):
    """构建监督学习数据集。"""
    return build_feature_frame(df), build_target_series(
        df,
        target_defect_type=target_defect_type,
        target_severity=target_severity,
    )