fix: clean generated tuhui titles

services/service_auto_image_pipeline.py

@@ -62,6 +62,35 @@ def _safe_name(text: str, fallback: str = "image") -> str:
     return cleaned[:40] or fallback
 
 
+def _looks_like_bad_title(text: str) -> bool:
+    value = str(text or "").strip().lower()
+    if not value:
+        return True
+    if "http" in value or "www" in value or "alicdn" in value or "imgextra" in value:
+        return True
+    if re.search(r"\b(o1cn|jpg|jpeg|png|webp|gif)\b", value):
+        return True
+    if value.count("_") >= 3 and not re.search(r"[\u4e00-\u9fa5]{2,}", value):
+        return True
+    alnum = re.sub(r"[^0-9a-z_]+", "", value)
+    if alnum and len(alnum) >= 16 and not re.search(r"[\u4e00-\u9fa5]", value):
+        return True
+    return False
+
+
+def _pick_clean_title_part(raw: str) -> str:
+    cleaned = _safe_name(raw, "")
+    if not cleaned or _looks_like_bad_title(cleaned):
+        return ""
+    parts = [part for part in cleaned.split("_") if part]
+    meaningful = [part for part in parts if not _looks_like_bad_title(part) and len(part) >= 2]
+    if meaningful:
+        cleaned = "_".join(meaningful[:3])
+    if _looks_like_bad_title(cleaned):
+        return ""
+    return cleaned[:30]
+
+
 def _suffix_from_url(url: str) -> str:
     path = urlparse(str(url or "")).path
     suffix = Path(path).suffix.lower()
@@ -82,11 +111,11 @@ 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 ""), "")
+    suggested = _pick_clean_title_part(str(analysis.get("title_suggest") or ""))
     if suggested:
         return suggested
-    subject = _safe_name(str(analysis.get("subject") or ""), "")
-    proc_type = _safe_name(str(analysis.get("proc_type") or ""), "")
+    subject = _pick_clean_title_part(str(analysis.get("subject") or ""))
+    proc_type = _pick_clean_title_part(str(analysis.get("proc_type") or ""))
 
     parts = [part for part in (subject, proc_type) if part]
     if parts: