"""Aggregate metrics over feedback labels.

Default aggregates exclude source_text, images, raw sheet content, and
reviewer free-text comments; include_text=True is the only path that embeds
the raw labels.
"""

from collections import Counter
from typing import Dict, List


def aggregate_labels(labels: List[dict], include_text: bool = False) -> Dict:
    decisions = Counter(label.get("decision") or "unknown" for label in labels)
    reasons = Counter(label.get("reason_code") or "none" for label in labels if label.get("decision") == "reject")
    summary = {
        "total": len(labels),
        "decisions": dict(decisions),
        "reject_reasons": dict(reasons),
    }
    for label in labels:
        decision = label.get("decision") or "unknown"
        summary[decision] = summary.get(decision, 0) + 1
    if include_text:
        summary["labels"] = labels
    return summary