refactor: split websocket flows and add brain action decision pipeline

core/websocket_customer_profile_flow.py

@@ -0,0 +1,45 @@
+import re
+from datetime import datetime
+
+
+def extract_and_save_customer_info_flow(client, message: str, customer_id: str, db):
+    """从消息中提取客户信息并保存。"""
+    if not message or not customer_id:
+        return
+
+    email_pattern = r"[\w\.-]+@[\w\.-]+\.\w+"
+    email_match = re.search(email_pattern, message)
+    if email_match:
+        db.update_email(customer_id, email_match.group())
+
+    phone_pattern = r"1[3-9]\d{9}"
+    phone_match = re.search(phone_pattern, message)
+    if phone_match:
+        db.update_phone(customer_id, phone_match.group())
+
+    wechat_pattern = r"[Vv微信]+号[:：]?\s*([\w-]+)"
+    wechat_match = re.search(wechat_pattern, message)
+    if wechat_match:
+        db.update_wechat(customer_id, wechat_match.group(1))
+
+    budget_keywords = ["预算", "不超过", "最多", "便宜点", "便宜"]
+    for keyword in budget_keywords:
+        if keyword in message:
+            db.add_personality_tag(customer_id, "关注价格")
+            break
+
+    personality_keywords = {
+        "爽快": "爽快",
+        "干脆": "爽快",
+        "纠结": "纠结",
+        "墨迹": "纠结",
+        "砍价": "砍价",
+        "贵": "砍价",
+    }
+    for keyword, tag in personality_keywords.items():
+        if keyword in message:
+            db.add_personality_tag(customer_id, tag)
+
+    profile = db.get_customer(customer_id)
+    profile.last_contact = datetime.now().isoformat()
+    db.save_customer(profile)