import json
import logging
import uuid
from google.oauth2 import service_account
from langchain_core.tools import tool
from google import genai
from google.genai.types import GenerateContentConfig, Modality

from minio import Minio

from src.core.config import settings
from src.server.utils.new_oss_client import oss_upload_image

logger = logging.getLogger(__name__)
# 初始化全局凭证和客户端
creds = service_account.Credentials.from_service_account_file(
    settings.GOOGLE_GENAI_USE_VERTEXAI,
    scopes=["https://www.googleapis.com/auth/cloud-platform"],
)

minio_client = Minio(settings.MINIO_URL, access_key=settings.MINIO_ACCESS, secret_key=settings.MINIO_SECRET, secure=settings.MINIO_SECURE)
client = genai.Client(
    credentials=creds,
    project=settings.GOOGLE_CLOUD_PROJECT,
    location=settings.GOOGLE_CLOUD_LOCATION,
    vertexai=True
)


@tool
async def generate_furniture(prompt: str) -> str:
    """
    使用 Gemini 图像生成模型根据详细的英文提示词生成家具设计草图。
    """
    print(f"\n[系统日志] 正在调用 Nano Banana (Gemini Image Gen) ...")

    try:
        response = client.models.generate_content(
            model="gemini-2.5-flash-image",
            contents=(f"Generate a professional furniture design sketch: {prompt}"),
            config=GenerateContentConfig(
                response_modalities=[Modality.TEXT, Modality.IMAGE],
            ),
        )

        image_bytes = None
        for part in response.candidates[0].content.parts:
            if part.inline_data:
                image_bytes = part.inline_data.data
                break

        if not image_bytes:
            return "未能生成图像数据。"
        object_name = f"furniture/sketches/{uuid.uuid4()}.png"
        bucket = "fida-test"  # 替换为你的 bucket 名称
        # 3. 调用你的上传函数
        upload_res = oss_upload_image(
            oss_client=minio_client,
            bucket=bucket,
            object_name=object_name,
            image_bytes=image_bytes
        )

        if upload_res:
            # 4. 构造访问链接 (如果是私有 bucket，需使用 presigned_get_object)
            # 这里简单示例为直接访问地址
            image_url = f"{bucket}/{object_name}"
            return image_url
        else:
            return "图片生成成功，但上传至存储服务器失败。"
    except Exception as e:
        logger.warning(e)
        return "绘图流程异常"