新增 Pinterest 参考模式：独立于 Google Trends 的完整链路（12国种子词池 / LLM搜索词json_schema+防重复+已用词限100 / 并发爬图 / 多模态分析→原创简报 / 生图带爬取图参考图生图 / UI流程选择）

2026-08-24 15:02:01 +08:00
parent 2144c36e60
commit 309d4a520c
30 changed files with 2076 additions and 23 deletions
@@ -145,3 +145,46 @@ class MockBackend:
            "style_seeds": _dedup_limit(style, max_style),
            "related_seeds": _dedup_limit(related, max_related),
        }
+
+    def generate_pinterest_terms(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """规则生成 Pinterest 搜索词（零 API 成本）：从种子词池随机取 + 两两组合增加多样性。"""
+        import random
+        seeds = [str(s).strip() for s in (context.get("seeds") or []) if str(s).strip()]
+        used = {str(u).strip().lower() for u in (context.get("used_terms") or [])}
+        count = int(context.get("count", 10))
+        pool = [s for s in seeds if s.lower() not in used]
+        random.shuffle(pool)
+        terms = pool[:count]
+        # 不足时用「种子词 + 风格词」组合补足（视觉导向，避免与已用重复）
+        style_tail = ["aesthetic", "style", "inspiration", "design", "vibe", "art"]
+        i = 0
+        while len(terms) < count and pool:
+            combo = f"{pool[i % len(pool)]} {style_tail[(i // len(pool)) % len(style_tail)]}"
+            if combo.lower() not in used and combo not in terms:
+                terms.append(combo)
+            i += 1
+        return {"search_terms": terms}
+
+    def analyze_pinterest_images(self, image_paths, term="", country=""):
+        """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。"""
+        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,
+            "concept": f"（启发式兜底）围绕「{term}」做原创{art_style}风格印花",
+            "motif": motif,
+            "art_style": art_style,
+            "color_palette": palette,
+            "composition": composition,
+            "negative_prompt": negative,
+            # 生图参考：每条简报对应其来源爬取图（mock 按图逐张产出简报，顺序一一对应）
+            "ref_images": [str(paths[i])] if i < len(paths) else [],
+            "source": "pinterest",
+        } for i in range(n)]