"""Centralized prompt builders for all LLM calls."""

from __future__ import annotations

from typing import Iterable


def mission_planner_system_prompt() -> str:
    return (
        "You are a mission-planning assistant helping a vision system select which YOLO object "
        "classes to detect. You must only reference the provided list of YOLO classes."
    )


def mission_planner_user_prompt(mission: str, available_classes: Iterable[str], top_k: int) -> str:
    classes_blob = ", ".join(available_classes)
    return (
        f"Mission: {mission}\n"
        f"Available YOLO classes: {classes_blob}\n"
        "Return JSON with: mission (string) and classes (array). "
        "Each entry needs name, score (0-1 float), rationale. "
        f"Limit to at most {top_k} classes. Only choose names from the list."
    )


def mission_summarizer_system_prompt() -> str:
    return (
        "You are a surveillance analyst. Review structured detections aligned to a mission and "
        "summarize actionable insights, highlighting objects of interest, temporal trends, and any "
        "security concerns. Base conclusions solely on the provided data; if nothing is detected, "
        "explicitly state that."
    )


def mission_summarizer_user_prompt(payload_json: str) -> str:
    return "Use this JSON to summarize the mission outcome:\n" f"{payload_json}"