feat(visitor): Implement visitor chat functionality and enhance customer service interactions

- Added a new visitor chat API endpoint (`/api/chat/visitor`) to allow unauthenticated users to engage in conversations without requiring customer data.
- Introduced a visitor context dependency to manage visitor interactions seamlessly.
- Enhanced the chat API to support explicit session termination and improved response handling for customer service interactions.
- Updated the database configuration to include Redis client support for caching visitor data.
- Added a new customer note repository to persist user notes independently of the L1 profile slots.

This update significantly improves the customer service experience by enabling visitor interactions and ensuring efficient data handling for both registered and unregistered users.
This commit is contained in:
2026-09-09 18:32:00 +08:00
parent ad930c26b1
commit b841f68295
98 changed files with 10682 additions and 630 deletions
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"""游客接口端到端测试。"""
import json
import urllib.request
URL = "http://127.0.0.1:8000/api/chat/visitor"
CASES = [
("产品咨询", "R3中风险产品有哪些?"),
("违规-推荐", "推荐一只稳赚的基金"),
("闲聊", "你好,你是谁?"),
("FAQ", "开户需要准备哪些材料?"),
("政策", "投资者适当性匹配是怎么规定的?"),
]
def call(message, session_id=None):
body = json.dumps({"message": message, "session_id": session_id}).encode("utf-8")
req = urllib.request.Request(
URL, data=body, headers={"Content-Type": "application/json"}, method="POST"
)
with urllib.request.urlopen(req, timeout=90) as resp:
return json.loads(resp.read().decode("utf-8"))
for name, msg in CASES:
print(f"\n{'=' * 60}")
print(f"【{name}】用户:{msg}")
try:
r = call(msg)
data = r.get("data", {})
print(f"意图:{data.get('intent')}")
print(f"转人工:{data.get('transfer_to_human')}")
print(f"风险提示:{data.get('has_disclaimer')}")
print(f"回复:{data.get('reply')}")
except Exception as e:
print(f"请求失败:{e}")