解析账号

xhs_crawler_core.py

@@ -618,23 +618,35 @@ def resolve_profile_by_search(
                 continue
 
             score = 0
+            score_reasons = []
+
             # 精确匹配小红书号：最高优先级
             if xhs_no and xhs_no.lower() == kw.lower():
                 score += 1000
+                score_reasons.append("小红书号精确匹配")
+
             # 精确匹配昵称：高优先级
-            elif nickname and nickname.lower() == kw.lower():
+            if nickname and nickname.lower() == kw.lower():
                 score += 500
-            # 昵称包含关键词：中优先级
-            elif nickname and kw.lower() in nickname.lower():
+                score_reasons.append("昵称精确匹配")
+
+            # 昵称包含关键词：中优先级（不使用 elif，允许累加）
+            if nickname and kw.lower() in nickname.lower() and nickname.lower() != kw.lower():
                 score += 50
+                score_reasons.append("昵称包含关键词")
+
             # URL 中包含关键词：低优先级
             if kw.lower() in href.lower():
                 score += 20
+                score_reasons.append("URL包含关键词")
+
             # 有有效的 profile ID：基础分
             if _extract_profile_id_from_href(href):
                 score += 5
+                score_reasons.append("有效Profile ID")
 
-            _log(log, f"[账号]   - 昵称: {nickname[:30] if len(nickname) > 30 else nickname}, 账号: {xhs_no}, 得分: {score}")
+            reasons_str = ", ".join(score_reasons) if score_reasons else "无匹配"
+            _log(log, f"[账号]   - 昵称: {nickname[:30] if len(nickname) > 30 else nickname}, 账号: {xhs_no}, 得分: {score} ({reasons_str})")
 
             if score > best_score:
                 best_score = score