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feat: 增强知识库索引与设置页面模块化拆分

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扩展知识库索引任务和 RAG 检索支持增量入库和文档去重，优
化本体检测和规则匹配精度，前端设置页面拆分为 LLM、邮件
和 Hermes 员工同步子面板并重构样式，新增日志详情组件和
知识入库日志模型，补充单元测试覆盖。
This commit is contained in:
caoxiaozhu
2026-05-22 23:47:28 +08:00
parent 88ff04bef8
commit 5b388d08c0
84 changed files with 10170 additions and 2599 deletions
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41
server/src/app/services/ontology_extraction.py
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@@ -59,11 +59,16 @@ class OntologyExtractionMixin:
missing_slots.append("attachments")
return missing_slots
if any(
has_entertainment_type = any(
item.normalized_value == "entertainment"
for item in entities
if item.type == "expense_type"
):
)
has_explicit_entertainment_text = "客户" in compact_query and any(
keyword in compact_query
for keyword in ("招待", "接待", "吃饭", "用餐", "宴请", "请客", "客户餐")
)
if has_entertainment_type or has_explicit_entertainment_text:
if "customer" not in entity_types:
missing_slots.append("customer_name")
missing_slots.append("participants")
@@ -171,14 +176,14 @@ class OntologyExtractionMixin:
upsert(self._make_entity("expense_type", label, normalized, role="filter"))
has_customer_entertainment_signal = "客户" in query and any(
keyword in query for keyword in ("吃饭", "用餐", "餐饮", "宴请", "请客", "招待")
keyword in query for keyword in ("吃饭", "用餐", "餐饮", "宴请", "请客", "招待", "接待")
)
if has_customer_entertainment_signal:
upsert(
self._make_entity(
"expense_type",
"客户招待",
"entertainment",
"业务招待费",
"meal",
role="filter",
confidence=0.96,
)
@@ -189,46 +194,52 @@ class OntologyExtractionMixin:
for keyword in (
"打车",
"网约车",
"出租车",
"出租车票",
"出租车",
"车费",
"乘车",
"用车",
"叫车",
"车资",
"的士",
"的士票",
"的士",
"滴滴",
"市内交通",
"地铁",
"公交",
"停车费",
"过路费",
"通行费",
"高速费",
)
):
upsert(self._make_entity("expense_type", "交通", "transport", role="filter", confidence=0.9))
if any(keyword in query for keyword in ("出差", "机票", "火车", "高铁", "行程单")):
if any(keyword in query for keyword in ("出差", "机票", "飞机票", "航班", "火车票", "火车", "高铁票", "高铁", "动车", "行程单")):
upsert(self._make_entity("expense_type", "差旅", "travel", role="filter", confidence=0.88))
if any(keyword in query for keyword in ("酒店", "住宿", "宾馆")):
if any(keyword in query for keyword in ("酒店", "酒店发票", "住宿", "住宿费", "宾馆", "民宿", "房费", "客房")):
upsert(self._make_entity("expense_type", "住宿", "hotel", role="filter", confidence=0.86))
if (
not has_customer_entertainment_signal
and any(keyword in query for keyword in ("餐费", "用餐", "午餐", "晚餐", "早餐", "餐饮"))
):
upsert(self._make_entity("expense_type", "餐费", "meal", role="filter", confidence=0.84))
upsert(self._make_entity("expense_type", "业务招待费", "meal", role="filter", confidence=0.84))
if any(
keyword in query
for keyword in ("办公用品", "文具", "耗材", "办公耗材", "打印纸", "办公设备", "键盘", "鼠标", "白板")
for keyword in ("办公用品", "文具", "耗材", "办公耗材", "打印纸", "办公设备", "键盘", "鼠标", "白板", "硒鼓", "墨盒")
):
upsert(self._make_entity("expense_type", "办公费", "office", role="filter", confidence=0.87))
upsert(self._make_entity("expense_type", "办公用品费", "office", role="filter", confidence=0.87))
if any(keyword in query for keyword in ("培训", "讲师费", "课时费", "课程费")):
if any(keyword in query for keyword in ("培训", "讲师费", "课时费", "课程费", "教材", "认证费", "考试费")):
upsert(self._make_entity("expense_type", "培训费", "training", role="filter", confidence=0.84))
if any(keyword in query for keyword in ("通讯费", "话费", "流量费", "宽带费")):
if any(keyword in query for keyword in ("通讯费", "话费", "电话费", "手机费", "流量费", "宽带费", "网络费")):
upsert(self._make_entity("expense_type", "通讯费", "communication", role="filter", confidence=0.84))
if any(keyword in query for keyword in ("福利费", "团建", "慰问", "节日福利", "体检费")):
if any(keyword in query for keyword in ("福利费", "团建", "慰问", "节日福利", "体检费", "员工关怀")):
upsert(self._make_entity("expense_type", "福利费", "welfare", role="filter", confidence=0.84))
for amount in self._extract_amount_entities(query):