v92-v105 多国适配 + 模板导出增强 + 生图可靠性优化

- 新增韩国（KR）适配：countries/pinterest 种子词、K-pop 提示词、UI 国家列表
- 爬虫跨运行持久化已采集 URL（.collected_urls.json），同关键词重复搜索采新图
- 模板导出增强：SPU 商品属性列名前缀剥离匹配、尺码下拉框 INDIRECT 动态引用、
  SPU 字段映射（袖长/门襟/胸垫等）、季节/印花图案女装映射、建议售价统一必填、
  SKU 分类/数量/单位直接填默认值
- 自定义模式：多模态提示词独立（custom_analyze_*）、生图提示词模板可配置
- Pinterest：空选品守卫、连续空分析保护（max_empty_analyze）、flat_prompt 配置覆盖
- 生图可靠性：开始/完成进度日志、异步任务轮询超时 60s→300s

graph/llms/mock_backend.py

@@ -170,21 +170,21 @@ class MockBackend:
             terms = [f"{t} {suffix}" if suffix not in t.lower() else t for t in terms]
         return {"search_terms": terms}
 
-    def analyze_pinterest_images(self, image_paths, term="", country="", on_400=None):
-        """规则生成设计简报（零 API 成本）：按搜索词启发式推导风格/配色/构图。"""
+    def analyze_pinterest_images(self, image_paths, term="", country="", on_400=None, custom_mode=False):
+        """规则生成设计简报（零 API 成本）：按搜索词启发式推导风格/配色/构图。
+
+        custom_mode: 仅作签名兼容（mock 为规则生成，不区分模式）。
+        """
         from ..classify import classify, prompt_suggestion
         cat = classify(term)
         art_style, palette = derive_style_palette(term, country, category=cat)
         motif = prompt_suggestion(term, cat).split(" --no ")[0].split(",")[0].strip()
         composition = derive_composition(term, cat)
-        negative = ("no real people, no likeness of any person, no copyrighted characters, "
-                    "no brand logos, no trademarks, no celebrity, no readable text unless safe")
         n = max(1, len(image_paths or []))
         paths = list(image_paths or [])
         return [{
             "topic": term,
             "suitable_for_print": True,
-            "negative_prompt": negative,
             "image_prompt": (f"{motif}, {art_style}, {palette}, {composition}, "
                              f"original {art_style} t-shirt print design, "
                              f"no brand logo, no trademark, no character, no watermark"),