fix: 客户产品线关联改为通过对话内容关键词推断，不再仅依赖成交记录

demo/web/server.py

@@ -254,7 +254,8 @@ def list_customers(
                     cu.key_needs, cu.stage, cu.last_analysis,
                     c.display_name AS contact_display_name,
                     max(m.created_at) AS last_message_at,
-                    string_agg(DISTINCT p.category, ', ') AS product_categories
+                    string_agg(DISTINCT p.category, ', ') AS deal_categories,
+                    string_agg(m.normalized_content, ' ') AS all_messages
                 FROM customer cu
                 JOIN salesperson s ON s.id = cu.salesperson_id
                 JOIN contact c ON c.id = cu.contact_id
@@ -283,8 +284,25 @@ def list_customers(
                 ORDER BY cu.salesperson_id, cu.id
             """
             cur.execute(sql, params)
-            return [
-                {
+            # 产品线关键词：通过对话内容推断产品线
+            diet_keywords = ["减肥", "减脂", "瘦身", "B420", "纤益", "代餐", "体脂", "产后减肥", "节食"]
+            child_keywords = ["湿疹", "过敏", "鼻炎", "腹泻", "便秘", "免疫力", "胀气",
+                              "拉肚子", "打喷嚏", "流鼻涕", "感冒", "食物过敏", "牛奶蛋白",
+                              "宝宝", "宝妈", "儿童", "丹麦", "鼠李糖", "LGG", "合生元"]
+            results = []
+            for r in cur.fetchall():
+                deal_cats = r[11]
+                all_msgs = r[12] or ""
+                # 优先用 deal 关联的产品线，其次通过对话内容推断
+                if deal_cats:
+                    product_categories = deal_cats
+                elif any(kw in all_msgs for kw in diet_keywords):
+                    product_categories = "女性减肥益生菌"
+                elif any(kw in all_msgs for kw in child_keywords):
+                    product_categories = "儿童益生菌"
+                else:
+                    product_categories = None
+                results.append({
                     "id": r[0], "salesperson_id": r[1],
                     "salesperson_name": r[2],
                     "customer_name": r[3], "industry": r[4],
@@ -293,10 +311,9 @@ def list_customers(
                     "last_analysis": r[8].isoformat() if r[8] else None,
                     "contact_display_name": r[9],
                     "last_message_at": r[10].isoformat() if r[10] else None,
-                    "product_categories": r[11],
-                }
-                for r in cur.fetchall()
-            ]
+                    "product_categories": product_categories,
+                })
+            return results
     finally:
         put_conn(conn)