from __future__ import annotations

import json
import logging
from typing import Any, Dict, List

from mission_planner import MissionPlan
from prompt import mission_summarizer_system_prompt, mission_summarizer_user_prompt
from utils.openai_client import get_openai_client

SUMMARY_MODEL = "gpt-4o-mini"


def _trim_detections(detections: List[Dict[str, Any]], max_boxes: int = 5) -> List[Dict[str, Any]]:
    if len(detections) <= max_boxes:
        return detections
    return detections[:max_boxes]


def _build_context_snapshot(records: List[Dict[str, Any]]) -> Dict[str, Any]:
    if not records:
        return {}
    first = records[0]
    middle = records[len(records) // 2]
    last = records[-1]
    return {
        "first_frame": {
            "frame_index": first["frame_index"],
            "detections": _trim_detections(first.get("detections", [])),
        },
        "middle_frame": {
            "frame_index": middle["frame_index"],
            "detections": _trim_detections(middle.get("detections", [])),
        },
        "last_frame": {
            "frame_index": last["frame_index"],
            "detections": _trim_detections(last.get("detections", [])),
        },
    }


def summarize_results(
    mission_prompt: str,
    mission_plan: MissionPlan,
    detection_log: List[Dict[str, Any]],
) -> str:
    if not detection_log:
        return "No detections were produced, so no summary is available."

    context_snapshot = _build_context_snapshot(detection_log)
    payload = {
        "mission_prompt": mission_prompt,
        "mission_plan": mission_plan.to_dict(),
        "global_context": context_snapshot,
        "detection_log": [
            {
                "frame_index": entry["frame_index"],
                "detections": _trim_detections(entry.get("detections", []), max_boxes=8),
            }
            for entry in detection_log
        ],
    }

    system_prompt = mission_summarizer_system_prompt()
    messages = [
        {"role": "system", "content": system_prompt},
        {
            "role": "user",
            "content": mission_summarizer_user_prompt(json.dumps(payload, ensure_ascii=False)),
        },
    ]

    try:
        client = get_openai_client()
        completion = client.chat.completions.create(
            model=SUMMARY_MODEL,
            temperature=0.2,
            messages=messages,
        )
        return (completion.choices[0].message.content or "").strip()
    except Exception:
        logging.exception("Failed to generate mission summary.")
        return "Mission summary generation failed."