feat: derive tuhui title from image analysis

services/service_auto_image_pipeline.py

@@ -79,6 +79,9 @@ def _build_processing_prompt(intent: str, requirement_text: str, analysis: Dict)
 
 def _build_upload_title(intent: str, analysis: Dict, requirement_text: str, idx: int) -> str:
     analysis = analysis or {}
+    suggested = _safe_name(str(analysis.get("title_suggest") or ""), "")
+    if suggested:
+        return f"{suggested}_{idx}"
     subject = _safe_name(str(analysis.get("subject") or ""), "")
     proc_type = _safe_name(str(analysis.get("proc_type") or ""), "")
     requirement = _safe_name(str(requirement_text or ""), "")

services/service_image_analyzer.py

@@ -68,6 +68,26 @@ ANALYSIS_PROMPT = """你是一个电商图片处理评估专家。
 """
 
 
+def _sanitize_title_part(text: str) -> str:
+    value = str(text or "").strip()
+    value = value.replace("/", "_").replace("\\", "_")
+    value = " ".join(value.split())
+    return value[:20]
+
+
+def _build_title_suggest(subject: str, proc_type: str, customer_requirement: str) -> str:
+    subject_part = _sanitize_title_part(subject)
+    proc_part = _sanitize_title_part(proc_type)
+    req_part = _sanitize_title_part(customer_requirement)
+
+    parts = [part for part in (subject_part, proc_part) if part]
+    if parts:
+        return "_".join(parts[:2])
+    if req_part:
+        return req_part
+    return "图片识别结果"
+
+
 class ImageAnalyzerService:
     """图片分析服务 - 后台静默运行，不影响主流程"""
     
@@ -128,6 +148,7 @@ class ImageAnalyzerService:
                 "perspective": no|mild|strong,
                 "aspect_ratio": 比例,
                 "gemini_prompt": 处理提示词,
+                "title_suggest": 推荐标题,
                 "note": 备注,
                 "price_suggest": 建议价格,
                 "width": 宽度,
@@ -182,6 +203,11 @@ class ImageAnalyzerService:
             
             result = self._parse_result(image_url, content)
             result["customer_requirement"] = customer_requirement
+            result["title_suggest"] = _build_title_suggest(
+                result.get("subject", ""),
+                result.get("proc_type", ""),
+                customer_requirement,
+            )
             result["elapsed"] = round(elapsed, 2)
             
             # 获取尺寸
@@ -280,6 +306,11 @@ class ImageAnalyzerService:
             "difficulty": extract("难点", ""),
             "suggest_method": extract("建议方案", "AI处理"),
             "gemini_prompt": extract("提示词"),
+            "title_suggest": _build_title_suggest(
+                extract("主体"),
+                extract("类型"),
+                "",
+            ),
             "note": extract("备注"),
             "price_min": price_min,
             "price_max": price_max,
@@ -320,6 +351,7 @@ class ImageAnalyzerService:
             "difficulty": "",
             "suggest_method": "",
             "gemini_prompt": "",
+            "title_suggest": "图片识别结果",
             "note": "",
             "price_min": 15,
             "price_max": 20,