"""Cloud brain + vision via the Anthropic (Claude) API.

Both share one client. Vision sends the frame as a base64 image; the brain is a
plain chat call that receives the latest screen description as context.

Requires: pip install anthropic
Env: ANTHROPIC_API_KEY
"""

from __future__ import annotations

import base64
import os
import time

from ..interfaces import Frame, Reply, ScreenObservation


def _client(api_key: str | None):
    import anthropic

    return anthropic.AsyncAnthropic(api_key=api_key or os.environ.get("ANTHROPIC_API_KEY"))


class ClaudeVision:
    def __init__(self, *, model: str = "claude-sonnet-4-5", api_key: str | None = None) -> None:
        self.model = model
        self._client = _client(api_key)

    async def describe(self, frame: Frame, hint: str | None = None) -> ScreenObservation:
        prompt = hint or (
            "이건 디스코드 화면공유 캡처야. 지금 화면에서 무슨 일이 벌어지는지 "
            "2~3문장으로 한국어로 간결하게 설명해줘. 코드/에러/게임/문서 등 맥락을 짚어줘."
        )
        b64 = base64.b64encode(frame.data).decode()
        resp = await self._client.messages.create(
            model=self.model,
            max_tokens=300,
            messages=[
                {
                    "role": "user",
                    "content": [
                        {
                            "type": "image",
                            "source": {"type": "base64", "media_type": frame.mime, "data": b64},
                        },
                        {"type": "text", "text": prompt},
                    ],
                }
            ],
        )
        text = "".join(b.text for b in resp.content if b.type == "text")
        return ScreenObservation(text=text.strip(), ts=frame.ts)


class ClaudeBrain:
    SYSTEM = (
        "너는 사용자의 디스코드 화면공유를 실시간으로 함께 보는 AI 파트너야. "
        "화면 설명을 참고해 자연스러운 반말/존댓말은 사용자에 맞추고, 짧고 대화하듯 답해. "
        "화면을 못 봤으면 솔직히 말해."
    )

    def __init__(self, *, model: str = "claude-sonnet-4-5", api_key: str | None = None) -> None:
        self.model = model
        self._client = _client(api_key)

    async def respond(self, user_text, screen, history) -> Reply:
        msgs = []
        for user, ai in history:
            msgs.append({"role": "user", "content": user})
            msgs.append({"role": "assistant", "content": ai})
        screen_note = f"[지금 화면] {screen.text}\n\n" if screen else "[지금 화면] (아직 못 읽음)\n\n"
        msgs.append({"role": "user", "content": screen_note + user_text})
        resp = await self._client.messages.create(
            model=self.model,
            max_tokens=400,
            system=self.SYSTEM,
            messages=msgs,
        )
        text = "".join(b.text for b in resp.content if b.type == "text")
        return Reply(text=text.strip(), ts=time.monotonic())