"""In-memory literature index."""

from __future__ import annotations

from app.knowledge.guideline_fragments import GUIDELINE_SNIPPETS


def search_literature(query: str, top_k: int = 5) -> list[dict[str, str]]:
    q = query.lower()
    scored: list[tuple[int, dict[str, str]]] = []
    for snippet in GUIDELINE_SNIPPETS:
        hay = f"{snippet['topic']} {snippet['text']}".lower()
        score = sum(1 for token in q.split() if token in hay)
        scored.append((score, snippet))
    scored.sort(key=lambda x: x[0], reverse=True)
    return [item for score, item in scored[:top_k] if score > 0] or GUIDELINE_SNIPPETS[: min(top_k, len(GUIDELINE_SNIPPETS))]