"""
用新的 LLM 提炼逻辑重新生成默认故事封面并上传到 OSS。

使用方法:
    python manage.py generate_default_covers
    python manage.py generate_default_covers --dry-run   # 仅打印提炼到的描述，不生成图片
"""
import uuid
import logging

import requests
from django.conf import settings
from django.core.management.base import BaseCommand

from apps.stories.utils import DEFAULT_STORIES
from apps.stories.services.llm_service import _extract_image_description

logger = logging.getLogger(__name__)

# 每个默认故事对应的 OSS key（与 utils.py 中的 cover_url 一致）
DEFAULT_COVER_KEYS = {
    "失控的魔法扫帚": "stories/defaults/失控的魔法扫帚_cover.png",
}


class Command(BaseCommand):
    help = "用 LLM 提炼故事画面描述后调用 Seedream 4.5 重新生成默认故事封面"

    def add_arguments(self, parser):
        parser.add_argument(
            "--dry-run",
            action="store_true",
            help="仅打印 LLM 提炼的画面描述，不实际生成图片",
        )

    def handle(self, *args, **options):
        dry_run = options["dry_run"]
        config = settings.LLM_CONFIG

        if not config.get("API_KEY"):
            self.stderr.write(self.style.ERROR("VOLCENGINE_API_KEY 未配置"))
            return

        try:
            from volcenginesdkarkruntime import Ark
        except ImportError:
            self.stderr.write(self.style.ERROR("volcengine SDK 未安装"))
            return

        try:
            from utils.oss import get_oss_client
            import oss2
        except ImportError:
            self.stderr.write(self.style.ERROR("oss2 未安装"))
            return

        client = Ark(api_key=config["API_KEY"])
        image_model = config.get("IMAGE_MODEL_NAME", "doubao-seedream-4-5-251128")
        image_size = config.get("IMAGE_SIZE", "2560x1440")
        oss_config = settings.ALIYUN_OSS
        oss_base = f"https://{oss_config['BUCKET_NAME']}.{oss_config['ENDPOINT']}"

        for story in DEFAULT_STORIES:
            title = story["title"]
            content = story["content"]
            oss_key = DEFAULT_COVER_KEYS.get(title)

            if not oss_key:
                self.stdout.write(self.style.WARNING(f"[{title}] 未找到对应 OSS key，跳过"))
                continue

            self.stdout.write(f"\n[{title}]")

            # Step 1: LLM 提炼画面描述
            self.stdout.write("  正在用 LLM 提炼画面描述...")
            scene_desc = _extract_image_description(
                title, content, client, config["MODEL_NAME"]
            )
            self.stdout.write(self.style.SUCCESS(f"  画面描述（{len(scene_desc)} 字）：{scene_desc}"))

            if dry_run:
                self.stdout.write(self.style.NOTICE("  [dry-run] 跳过图片生成"))
                continue

            # Step 2: 文生图
            image_prompt = (
                f"儿童绘本封面插画，{scene_desc}，卡通可爱风格，色彩明亮鲜艳，高质量插画"
            )
            self.stdout.write(f"  正在生成封面图（{image_size}）...")
            result = client.images.generate(
                model=image_model,
                prompt=image_prompt,
                size=image_size,
                response_format="url",
                watermark=False,
            )
            image_url = result.data[0].url
            self.stdout.write(f"  临时图片 URL: {image_url[:80]}...")

            # Step 3: 下载图片
            self.stdout.write("  正在下载图片...")
            resp = requests.get(image_url, timeout=60)
            resp.raise_for_status()

            # Step 4: 覆盖上传到 OSS
            self.stdout.write(f"  正在上传到 OSS: {oss_key}")
            oss_client = get_oss_client()
            oss_client.bucket.put_object(
                oss_key,
                resp.content,
                headers={"Content-Type": "image/jpeg"},
            )
            final_url = f"{oss_base}/{oss_key}"
            self.stdout.write(self.style.SUCCESS(f"  ✓ 封面已更新: {final_url}"))

        self.stdout.write(self.style.SUCCESS("\n完成。"))