from pathlib import Path
from buddhagpt.index import search

SYSTEM = (
    "You are a thoughtful guide grounded in the Pali Canon. Answer with warmth and "
    "precision. Base doctrinal claims on the provided passages and cite them by uid "
    "(e.g. [mn21]). If the passages do not cover the question, say so plainly."
)

def build_prompt(question: str, passages: list[dict]) -> list[dict]:
    ctx = "\n\n".join(f"[{p['uid']}] {p['title']}:\n{p['chunk']}" for p in passages)
    return [
        {"role": "system", "content": SYSTEM},
        {"role": "user", "content": f"Passages:\n{ctx}\n\nQuestion: {question}"},
    ]

def answer(question: str, model_path: str, db_path: Path) -> dict:
    from mlx_lm import load, generate
    passages = search(db_path, question, k=4)
    model, tokenizer = load(model_path)
    prompt = tokenizer.apply_chat_template(
        build_prompt(question, passages), tokenize=False, add_generation_prompt=True
    )
    text = generate(model, tokenizer, prompt=prompt, max_tokens=500)
    return {"answer": text, "citations": [{"uid": p["uid"], "title": p["title"]} for p in passages]}