import os
import logging
from chongming_worker import rpc_method
from ..models.pydantic import AnalyzePostRequest, AnalyzePostResponse
from ..global_var import get_client, get_is_aicc

logger = logging.getLogger("plugins.doubao.analyze")

@rpc_method(
    subject="doubao.analyze",
    method="POST",
    summary="Analyze image via Doubao vision model",
    response_model=AnalyzePostResponse,
)
async def analyze(request: AnalyzePostRequest) -> AnalyzePostResponse:
    logger.info("收到分析请求: prompt=%s, image_len=%d", request.prompt, len(request.image_base64))
    client = get_client()
    if client is None:
        logger.error("豆包客户端未初始化（is_aicc=%s）", get_is_aicc())
        return AnalyzePostResponse(result="", error="客户端未初始化，请检查插件启动日志确认 API_KEY 和 AICC 配置是否正确")

    # 获取图片数据
    image_base64 = request.image_base64

    if not image_base64:
        return AnalyzePostResponse(result="", error="未提供图片数据（image_base64或image_path）")

    if image_base64.startswith('data:image/'):
        image_base64 = image_base64.split(',', 1)[1]

    mime_type = "image/png"

    prompt = request.prompt or ""

    try:
        # AICC 模式的 AsyncOpenAI 不支持 thinking 参数，需通过 extra_body 传递
        if get_is_aicc():
            create_kwargs = {"extra_body": {"thinking": {"type": "disabled"}}}
        else:
            create_kwargs = {"thinking": {"type": "disabled"}}

        response = await client.chat.completions.create(
            model=os.getenv("DOUBAO_MODEL", "doubao-seed-evolving"),
            messages=[
                {
                    "role": "user",
                    "content": [
                        {"type": "image_url", "image_url": f"data:{mime_type};base64,{image_base64}"},
                        {"type": "text", "text": prompt}
                    ]
                } # type: ignore
            ],
            **create_kwargs # type: ignore
        )
        result = response.choices[0].message.content # type: ignore
        logger.info("分析完成: 结果长度=%d", len(result) if result else 0)
        return AnalyzePostResponse(result=result) # type: ignore
    except Exception as e:
        error_msg = str(e)
        # 针对 AICC 安全通道密钥缺失，给出明确提示
        # KeyMissingError 可能被包装在 APIConnectionError 的 __cause__ 链中
        is_key_missing = (
            "KeyMissingError" in type(e).__name__
            or "Can not get key" in error_msg
            or any("KeyMissingError" in type(c).__name__ for c in [getattr(e, '__cause__', None), getattr(e, '__context__', None)] if c is not None)
        )
        if is_key_missing:
            logger.error(
                "AICC 安全通道密钥获取失败，请检查: "
                "1) api_key 是否有效 "
                "2) ra_url（安全令牌地址）是否正确 "
                "3) APIGateway /v1/security/token 端点是否可达"
            )
            return AnalyzePostResponse(
                result="",
                error="AICC 安全通道初始化失败：无法获取加密密钥。"
                      "请检查 api_key 有效性及安全令牌服务 (/v1/security/token) 连通性。"
            )
        logger.error("调用豆包API失败: %s", e, exc_info=True)
        return AnalyzePostResponse(result="", error=f"调用豆包API失败: {error_msg}")