2026-09-11 11:02:15 +08:00
|
|
|
"""Customer-service intent recognition contract."""
|
|
|
|
|
from __future__ import annotations
|
|
|
|
|
|
|
|
|
|
import logging
|
2026-09-12 15:06:34 +08:00
|
|
|
import re
|
2026-09-11 11:02:15 +08:00
|
|
|
from enum import StrEnum
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
logger = logging.getLogger("rag.intent")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class Intent(StrEnum):
|
|
|
|
|
GUIDE_PURCHASE = "guide_purchase"
|
|
|
|
|
WANT_ADVISOR = "want_advisor"
|
|
|
|
|
NL2SQL_REQUEST = "nl2sql_request"
|
|
|
|
|
KNOWLEDGE_QA = "knowledge_qa"
|
2026-09-12 15:06:34 +08:00
|
|
|
COMPANY_INFO = "company_info"
|
|
|
|
|
CHITCHAT = "chitchat"
|
|
|
|
|
OFF_TOPIC = "off_topic"
|
2026-09-11 11:02:15 +08:00
|
|
|
NO_MATCH = "no_match"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
INTENT_VALUES = frozenset(item.value for item in Intent)
|
|
|
|
|
|
2026-09-12 15:06:34 +08:00
|
|
|
# 按长度降序匹配,避免短标签误命中长标签的一部分
|
|
|
|
|
_INTENT_PATTERN = re.compile(
|
|
|
|
|
"|".join(re.escape(value) for value in sorted(INTENT_VALUES, key=len, reverse=True))
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
INTENT_SYSTEM_PROMPT = (
|
|
|
|
|
"你是华夏科技(一家基金代销金融机构)智能客服的意图分类器。"
|
|
|
|
|
"请根据用户输入,从以下选项中选择最匹配的意图,并仅输出对应的英文标签(不输出任何其他内容):\n"
|
|
|
|
|
"- guide_purchase: 用户询问如何购买基金、开户、注册等引导类问题\n"
|
|
|
|
|
"- want_advisor: 用户希望获得个性化基金推荐或投资顾问服务\n"
|
|
|
|
|
"- knowledge_qa: 用户询问基金相关的知识性问题,如净值、费率、风险、申赎规则等\n"
|
|
|
|
|
"- company_info: 用户询问华夏科技公司本身的信息,如公司全称、成立时间、牌照、总部地址、"
|
|
|
|
|
"客服电话、服务时间、官网、投诉渠道等\n"
|
|
|
|
|
"- nl2sql_request: 用户要求查询具体数据或账户信息\n"
|
|
|
|
|
"- chitchat: 普通寒暄,如问候、致谢、告别、询问你是谁/你能做什么、在吗等一两句话的闲聊\n"
|
|
|
|
|
"- off_topic: 用户要求你实质性地处理与金融、基金、公司业务无关的事情,"
|
|
|
|
|
"如写代码、讲笑话、写作文、问天气、聊政治、情感咨询、做数学题等\n"
|
|
|
|
|
"- no_match: 无法归入以上任何一类\n"
|
|
|
|
|
"注意:寒暄性质的一两句话归为 chitchat;一旦用户提出金融之外的实质性请求,归为 off_topic。\n"
|
|
|
|
|
"仅输出一个小写英文标签,不要输出解释、标点或换行。"
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def parse_intent(raw: str | None) -> Intent:
|
|
|
|
|
"""从模型原始输出中提取第一个合法标签,提取不到则返回 NO_MATCH。"""
|
|
|
|
|
if not raw:
|
|
|
|
|
return Intent.NO_MATCH
|
|
|
|
|
match = _INTENT_PATTERN.search(raw.lower())
|
|
|
|
|
return Intent(match.group(0)) if match else Intent.NO_MATCH
|
|
|
|
|
|
2026-09-11 11:02:15 +08:00
|
|
|
|
|
|
|
|
async def intent_recognize(query: str, *, llm_client) -> Intent:
|
|
|
|
|
if not query or not query.strip():
|
|
|
|
|
return Intent.NO_MATCH
|
|
|
|
|
messages = [
|
2026-09-12 15:06:34 +08:00
|
|
|
{"role": "system", "content": INTENT_SYSTEM_PROMPT},
|
2026-09-11 11:02:15 +08:00
|
|
|
{"role": "user", "content": query},
|
|
|
|
|
]
|
|
|
|
|
try:
|
|
|
|
|
raw = await llm_client.chat(messages)
|
|
|
|
|
except Exception:
|
|
|
|
|
logger.exception("intent recognition failed")
|
|
|
|
|
return Intent.NO_MATCH
|
2026-09-12 15:06:34 +08:00
|
|
|
return parse_intent(raw)
|