fix(core): 商品详情页三视图改走 image_edit 参考真实主图 + 该商品 AI 素材归属

- 商品详情页「AI 生成三视图」原走独立生图老链路(纯文生图),只凭商品名脑补,
  出来通用图不像真品。改:前端传 reference_product;后端 run_standalone_image_task
  据此取商品主图走 image_edit(复用 build_product_triview_prompt_refs 锁包装),
  取不到主图优雅回落文生图。图片创作页(自由创作)不带标记,不受影响。
- 商品详情页素材区改为只显示「该商品」AI 素材(asset.product 归属)而非全团队。
- 首登水合带重试,失败不再静默(否则页面卡在全 0,要刷新才好)。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

core/backend/apps/ai/services.py

@@ -1334,7 +1334,7 @@ def _reap_stale_standalone_image_tasks(*, team) -> None:
             continue
 
 
-def enqueue_standalone_images(*, team, user, prompt: str, mode: str = "image", count: int = 1) -> list[AITask]:
+def enqueue_standalone_images(*, team, user, prompt: str, mode: str = "image", count: int = 1, product_id: str | None = None, reference_product: bool = False) -> list[AITask]:
     """独立生图(图片创作 / 模特上身图 / 平台套图)改为**异步**:本函数在 Web 请求里只做「建任务 +
     预留额度」这种秒级的活,真正 ~30s 的 ARK 出图交给 Celery worker(generate_standalone_image_task)。
 
@@ -1360,7 +1360,7 @@ def enqueue_standalone_images(*, team, user, prompt: str, mode: str = "image", c
             status=AITask.Status.CREATED,
             model_config=model_config,
             idempotency_key=f"standalone-image:{team.id}:{uuid.uuid4()}",
-            request_payload={"model": model_config.name, "endpoint": model_config.endpoint, "prompt": prompt, "mode": mode, "index": index},
+            request_payload={"model": model_config.name, "endpoint": model_config.endpoint, "prompt": prompt, "mode": mode, "index": index, "product_id": str(product_id) if product_id else None, "reference_product": bool(reference_product)},
             estimated_cost=cost,
         )
         # 预留额度若余额不足会抛 ValueError,在同步的 Web 请求里立刻反馈给前端(不会先建半套任务)
@@ -1386,12 +1386,28 @@ def run_standalone_image_task(*, task_id: str) -> None:
     prompt = str(payload.get("prompt") or "")
     mode = str(payload.get("mode") or "image")
     index = int(payload.get("index") or 0)
+    product_id = payload.get("product_id") or None
     category = _STANDALONE_CATEGORY.get(mode, Asset.Category.UNCATEGORIZED)
     model_config = task.model_config
     provider = get_image_provider(model_config)
     reservation = task.credit_reservation
+    # 商品三视图(商品详情页按 reference_product 提交):有真实商品主图 + 模型支持 image_edit →
+    # 以主图为参考锁包装一致性,否则回落纯文生图(仅凭商品名脑补,不保证还原真实包装)。
+    ref_url = ""
+    product = None
+    if bool(payload.get("reference_product")) and product_id:
+        from apps.products.models import Product
+
+        product = Product.objects.filter(id=product_id).first()
+        if product is not None:
+            ref_url = _product_cover_url(product)
+    use_edit = bool(ref_url) and hasattr(provider, "image_edit")
     try:
-        response = provider.image_generation(model=model_config.name, endpoint=model_config.endpoint, prompt=prompt)
+        if use_edit:
+            edit_prompt = build_product_triview_prompt_refs(product, "")
+            response = provider.image_edit(model=model_config.name, prompt=edit_prompt, images=[ref_url], size="1536x1024")
+        else:
+            response = provider.image_generation(model=model_config.name, endpoint=model_config.endpoint, prompt=prompt)
         media = provider.extract_first_media_url(response)
         with transaction.atomic():
             task.status = AITask.Status.SUCCEEDED
@@ -1408,6 +1424,8 @@ def run_standalone_image_task(*, task_id: str) -> None:
             asset = Asset.objects.create(
                 id=asset_id, team=team, created_by=user, name=f"AI 生成 · {mode} · {index + 1}",
                 asset_type=Asset.Type.IMAGE, source=Asset.Source.AI_GENERATED, category=category, origin_task=task,
+                # 记下生图时选中的商品,商品详情页据此只展示「该商品」的 AI 素材(而非全团队)
+                metadata={"product_id": str(product_id)} if product_id else {},
             )
             AssetFile.objects.create(asset=asset, object_key=stored.object_key, bucket=stored.bucket, content_type=stored.content_type, size_bytes=stored.size_bytes, is_primary=True)
     except Exception as exc:  # noqa: BLE001 — 失败要退费并把错误记进 AITask 供前端轮询读取;不向上抛(避免 celery 重试二次扣费)