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feat: 增强知识库功能，优化索引和RAG检索

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This commit is contained in:
caoxiaozhu
2026-05-18 02:49:39 +00:00
parent 55e0591a5e
commit 4414ffb34c
18 changed files with 5656 additions and 4659 deletions
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18
server/src/app/services/knowledge.py
View File

@@ -856,7 +856,13 @@ class KnowledgeService:
status_payload = status_map.get(document_id) or {}
rag_status = str(status_payload.get("status") or "").strip().lower()
if bool(status_payload.get("query_ready")):
linked_run_status = self._resolve_linked_ingest_run_status(entry)
if (
linked_run_status == AgentRunStatus.FAILED.value
and rag_status in {"pending", "processing", "preprocessed"}
):
desired_status = KNOWLEDGE_INGEST_STATUS_FAILED
elif bool(status_payload.get("query_ready")):
desired_status = KNOWLEDGE_INGEST_STATUS_INGESTED
elif rag_status in {"pending", "processing", "preprocessed"}:
desired_status = KNOWLEDGE_INGEST_STATUS_SYNCING
@@ -1009,6 +1015,16 @@ class KnowledgeService:
return not self._is_syncing_status_stale(entry)
def _resolve_linked_ingest_run_status(self, entry: dict[str, Any]) -> str:
agent_run_id = str(entry.get("ingest_agent_run_id") or "").strip()
if not agent_run_id or self.db is None:
return ""
run = self.db.scalar(select(AgentRun).where(AgentRun.run_id == agent_run_id))
if run is None:
return ""
return str(run.status or "").strip()
def _require_entry(self, index: dict[str, Any], document_id: str) -> dict[str, Any]:
for entry in index["documents"]:
if entry["id"] == document_id:

86
server/src/app/services/knowledge_index_tasks.py
View File

@@ -1,5 +1,6 @@
from __future__ import annotations
import threading
from concurrent.futures import Future, ThreadPoolExecutor
from datetime import UTC, datetime
from time import perf_counter
@@ -18,6 +19,7 @@ from app.services.knowledge import (
from app.services.knowledge_rag import KnowledgeRagService
logger = get_logger("app.services.knowledge_index_tasks")
HEARTBEAT_INTERVAL_SECONDS = 10
class KnowledgeIndexTaskManager:
@@ -58,6 +60,15 @@ class KnowledgeIndexTaskManager:
session_factory = get_session_factory()
db = session_factory()
started = perf_counter()
heartbeat_stop = threading.Event()
heartbeat_thread: threading.Thread | None = None
tool_call_id = ""
tool_request_json = {
"agent": AgentName.HERMES.value,
"folder": folder,
"document_ids": document_ids,
"force": force,
}
try:
run_service = AgentRunService(db)
@@ -84,6 +95,44 @@ class KnowledgeIndexTaskManager:
},
},
)
tool_call = run_service.record_tool_call(
run_id=agent_run_id,
tool_type=AgentToolType.LLM.value,
tool_name="lightrag.index_documents",
request_json=tool_request_json,
response_json={"phase": "indexing"},
status="running",
duration_ms=0,
error_message=None,
)
tool_call_id = tool_call.id
def heartbeat_worker() -> None:
while not heartbeat_stop.wait(HEARTBEAT_INTERVAL_SECONDS):
heartbeat_db = session_factory()
try:
AgentRunService(heartbeat_db).merge_route_json(
agent_run_id,
{
"job_type": "knowledge_index_sync",
"phase": "indexing",
"heartbeat_at": datetime.now(UTC).isoformat(),
},
)
except Exception:
logger.exception(
"Knowledge index heartbeat update failed run_id=%s",
agent_run_id,
)
finally:
heartbeat_db.close()
heartbeat_thread = threading.Thread(
target=heartbeat_worker,
name=f"knowledge-index-heartbeat-{agent_run_id}",
daemon=True,
)
heartbeat_thread.start()
response = rag_service.index_documents(document_ids=document_ids, force=force)
succeeded_document_ids = [
@@ -117,16 +166,11 @@ class KnowledgeIndexTaskManager:
duration_ms = int((perf_counter() - started) * 1000)
tool_status = "succeeded" if not failed_document_ids else "failed"
run_service.record_tool_call(
run_id=agent_run_id,
tool_type=AgentToolType.LLM.value,
tool_name="lightrag.index_documents",
request_json={
"agent": AgentName.HERMES.value,
"folder": folder,
"document_ids": document_ids,
"force": force,
},
heartbeat_stop.set()
if heartbeat_thread is not None:
heartbeat_thread.join(timeout=1)
run_service.update_tool_call(
tool_call_id,
response_json=response,
status=tool_status,
duration_ms=duration_ms,
@@ -166,17 +210,24 @@ class KnowledgeIndexTaskManager:
finished_at=datetime.now(UTC),
)
except Exception as exc:
heartbeat_stop.set()
if heartbeat_thread is not None:
heartbeat_thread.join(timeout=1)
try:
if tool_call_id:
AgentRunService(db).update_tool_call(
tool_call_id,
response_json={"error": str(exc)},
status="failed",
duration_ms=int((perf_counter() - started) * 1000),
error_message=str(exc),
)
else:
AgentRunService(db).record_tool_call(
run_id=agent_run_id,
tool_type=AgentToolType.LLM.value,
tool_name="lightrag.index_documents",
request_json={
"agent": AgentName.HERMES.value,
"folder": folder,
"document_ids": document_ids,
"force": force,
},
request_json=tool_request_json,
response_json={"error": str(exc)},
status="failed",
duration_ms=int((perf_counter() - started) * 1000),
@@ -210,6 +261,9 @@ class KnowledgeIndexTaskManager:
logger.exception("Knowledge index task finalization failed run_id=%s", agent_run_id)
logger.exception("Knowledge index task failed run_id=%s", agent_run_id)
finally:
heartbeat_stop.set()
if heartbeat_thread is not None and heartbeat_thread.is_alive():
heartbeat_thread.join(timeout=1)
db.close()

13
server/src/app/services/knowledge_normalizer.py
View File

@@ -83,24 +83,23 @@ class KnowledgeNormalizationService:
if rendered:
normalized_tables.append(f"## {candidate.title}\n\n{rendered}")
parts: list[str] = []
appendix_parts: list[str] = []
if section_appendix:
parts.append(section_appendix)
appendix_parts.append(section_appendix)
if answer_clue_appendix:
parts.append(answer_clue_appendix)
appendix_parts.append(answer_clue_appendix)
if normalized_tables:
appendix = "\n\n".join(normalized_tables)
parts.append(
appendix_parts.append(
"# 结构化表格补充\n\n"
"以下表格由知识归纳阶段依据原文重新整理，供问答检索时优先理解行列关系。\n\n"
f"{appendix}"
)
if not parts:
if not appendix_parts:
return normalized_text
parts.append(f"# 原文\n\n{normalized_text}")
return "\n\n".join(parts)
return "\n\n".join([normalized_text, *appendix_parts])
@staticmethod
def _extract_table_candidates(text: str) -> list[TableCandidate]:

89
server/src/app/services/knowledge_rag.py
View File

@@ -33,6 +33,7 @@ DEFAULT_LIGHTRAG_QUERY_MODE = "naive"
DEFAULT_LLM_TIMEOUT_SECONDS = 180
DEFAULT_EMBEDDING_TIMEOUT_SECONDS = 120
MAX_KNOWLEDGE_HIT_CONTENT_LENGTH = 2200
MAX_KNOWLEDGE_HIT_EXCERPT_LENGTH = 220
MAX_QUERY_TERMS = 12
QUERY_TERM_STOPWORDS = {
"什么",
@@ -62,6 +63,13 @@ TABLE_OR_STANDARD_QUERY_HINTS = (
"档位",
"额度",
)
STRUCTURED_APPENDIX_LEADING_MARKERS = (
"# 章节导航",
"# 重点章节摘录",
"# 问答线索补充",
"# 结构化表格补充",
)
STRUCTURED_APPENDIX_LEADING_WINDOW = 220
_runtime_lock = threading.RLock()
_runtime_instance: _LightRagRuntime | None = None
@@ -830,7 +838,11 @@ class KnowledgeRagService:
document_id, document_name = _parse_document_identity(file_path)
normalized_chunk_id = chunk_id or f"path-{rank}"
normalized_content = _truncate_text(content, max_length=MAX_KNOWLEDGE_HIT_CONTENT_LENGTH)
excerpt = _build_excerpt(normalized_content, max_length=220)
excerpt = _build_query_focused_excerpt(
normalized_content,
query_terms=query_terms,
max_length=MAX_KNOWLEDGE_HIT_EXCERPT_LENGTH,
)
candidates.append(
{
"code": f"knowledge.{document_id or 'unknown'}.{normalized_chunk_id}",
@@ -907,8 +919,12 @@ class KnowledgeRagService:
@staticmethod
def is_query_ready_status(status_obj: Any) -> bool:
status_text = KnowledgeRagService._status_value(status_obj)
if status_text in {"failed", "error", "aborted"}:
return False
if status_text == "processed":
return True
if status_text in {"pending", "processing", "preprocessed"}:
return False
chunks_count = getattr(status_obj, "chunks_count", None)
if chunks_count is None and isinstance(status_obj, dict):
@@ -1168,6 +1184,35 @@ def _build_excerpt(text: str, *, max_length: int = 180) -> str:
return f"{normalized[: max_length - 3].rstrip()}..."
def _build_query_focused_excerpt(
text: str,
*,
query_terms: list[str],
max_length: int = 180,
) -> str:
normalized = " ".join(str(text or "").split()).strip()
if not normalized:
return ""
lowered = normalized.lower()
match_positions = [
lowered.find(term)
for term in query_terms
if term and lowered.find(term) >= 0
]
if not match_positions:
return _build_excerpt(normalized, max_length=max_length)
start = max(0, min(match_positions) - max_length // 3)
end = min(len(normalized), start + max_length)
snippet = normalized[start:end].strip()
if start > 0:
snippet = f"...{snippet.lstrip()}"
if end < len(normalized):
snippet = f"{snippet.rstrip()}..."
return snippet
def _truncate_text(text: str, *, max_length: int) -> str:
normalized = str(text or "").strip()
if len(normalized) <= max_length:
@@ -1243,19 +1288,43 @@ def _score_knowledge_hit(
score += len(matched_terms) * 8
score += sum(1 for term in matched_terms if term in title) * 6
if "结构化表格补充" in content:
score += 18
if "问答线索补充" in content:
score += 16 if not prefers_tabular_evidence else 8
if "重点章节摘录" in content:
leading_appendix_marker = _leading_structured_appendix_marker(content)
if leading_appendix_marker == "# 章节导航":
score -= 24
elif leading_appendix_marker == "# 重点章节摘录":
score += 4 if matched_terms else -12
elif leading_appendix_marker == "# 问答线索补充":
score += 8 if matched_terms and not prefers_tabular_evidence else 2 if matched_terms else -20
elif leading_appendix_marker == "# 结构化表格补充":
if prefers_tabular_evidence and matched_terms:
score += 16
elif matched_terms:
score += 6
else:
score -= 18
if prefers_tabular_evidence and matched_terms and ("|" in content or "表" in content):
score += 10
if "章节导航" in content:
if matched_terms and any(marker in content for marker in ("：", ":")):
score += 10
if matched_terms and "\n" in content:
score += 4
if prefers_tabular_evidence and ("|" in content or "表" in content or "结构化表格补充" in content):
score += 12
if not prefers_tabular_evidence and any(marker in content for marker in ("第", "条", "：", "-", "•")):
if matched_terms and any(marker in content for marker in ("附表", "第", "条")):
score += 4
if not prefers_tabular_evidence and matched_terms and any(marker in content for marker in ("第", "条", "：", "-", "•")):
score += 4
if title and any(term in title for term in query_terms):
score += 6
if re.search(r"没有.{0,8}(信息|规定|说明|依据)", content):
score -= 12
return score
def _leading_structured_appendix_marker(content: str) -> str:
normalized = str(content or "").lstrip()
for marker in STRUCTURED_APPENDIX_LEADING_MARKERS:
index = normalized.find(marker)
if 0 <= index <= STRUCTURED_APPENDIX_LEADING_WINDOW:
return marker
return ""

39
server/storage/knowledge/.index.json
View File

@@ -2,25 +2,46 @@
"version": 1,
"documents": [
{
"id": "bf761bd8eccf402bb676423d64401a56",
"id": "2c1cb358f08d44ceb0e4d287133206ec",
"folder": "报销制度",
"original_name": "远光《公司支出管理办法（2024）》.pdf",
"stored_name": "bf761bd8eccf402bb676423d64401a56__远光《公司支出管理办法（2024）》.pdf",
"stored_name": "2c1cb358f08d44ceb0e4d287133206ec__远光《公司支出管理办法（2024）》.pdf",
"mime_type": "application/pdf",
"extension": "pdf",
"size_bytes": 621401,
"sha256": "67a74538bce0dec71ccbb947256cc2c9c0e672d148de49406b967ae1379dbece",
"created_at": "2026-05-09T08:39:53.788042+00:00",
"updated_at": "2026-05-09T08:39:53.788042+00:00",
"created_at": "2026-05-17T09:28:28.999515+00:00",
"updated_at": "2026-05-17T09:28:28.999515+00:00",
"uploaded_by": "admin",
"version_number": 1,
"ingest_status": 3,
"ingest_status_updated_at": "2026-05-16T15:37:12.723203+00:00",
"ingest_agent_run_id": "run_94562b13f7a54341",
"ingest_completed_at": "2026-05-16T15:37:12.723203+00:00",
"ingest_status_updated_at": "2026-05-17T10:01:33.272539+00:00",
"ingest_completed_at": "2026-05-17T10:01:33.272539+00:00",
"ingest_document_name": "远光《公司支出管理办法（2024）》.pdf",
"ingest_document_updated_at": "2026-05-09T08:39:53.788042+00:00",
"ingest_document_sha256": "67a74538bce0dec71ccbb947256cc2c9c0e672d148de49406b967ae1379dbece"
"ingest_document_updated_at": "2026-05-17T09:28:28.999515+00:00",
"ingest_document_sha256": "67a74538bce0dec71ccbb947256cc2c9c0e672d148de49406b967ae1379dbece",
"ingest_agent_run_id": "run_8b0ead1e3c734a53"
},
{
"id": "a8f8465df08e455ebe133351721d49f8",
"folder": "报销制度",
"original_name": "无单需求文档0506.docx",
"stored_name": "a8f8465df08e455ebe133351721d49f8__无单需求文档0506.docx",
"mime_type": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"extension": "docx",
"size_bytes": 454307,
"sha256": "00985ec85a8163be9c9ffc5eb522df18ed52d4b131ceed12102c2d75e4df85a9",
"created_at": "2026-05-17T13:00:09.485818+00:00",
"updated_at": "2026-05-17T13:00:09.485818+00:00",
"uploaded_by": "admin",
"version_number": 1,
"ingest_status": 1,
"ingest_status_updated_at": "2026-05-17T13:00:09.485818+00:00",
"ingest_completed_at": "",
"ingest_document_name": "",
"ingest_document_updated_at": "",
"ingest_document_sha256": "",
"ingest_agent_run_id": ""
}
]
}

4573
server/storage/knowledge/.lightrag/x_financial_knowledge/graph_chunk_entity_relation.graphml
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41
server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_doc_status.json
View File

@@ -1,29 +1,28 @@
{
"bf761bd8eccf402bb676423d64401a56": {
"2c1cb358f08d44ceb0e4d287133206ec": {
"status": "processed",
"chunks_count": 11,
"chunks_count": 10,
"chunks_list": [
"chunk-a28dc5c0a449bfa3ec07f3ea70720339",
"chunk-0e8b903e5d2a7deeadd9ec0ca70d964c",
"chunk-16edf05e3f89da28ca60c9b8e3101d26",
"chunk-60066b4c758ad553106e2343a99c890e",
"chunk-30373ec763ee53fb2c91741699128f30",
"chunk-2d84cd4e27b2bcd246988dabe93d2062",
"chunk-090b225cc6d57e9bf0cf7e0f34b4760c",
"chunk-8881e68061e1b668defe35b1cd9d8a83",
"chunk-cca4d7b1d51b1e831b80471cd168fef0",
"chunk-78998358de8a8cc3c018264c9a553b4d",
"chunk-37889c882c89c19f96b9b2ca93685014"
"chunk-dd87aa5bc62cc9587ecb4c26d35a5263",
"chunk-74c01decac4a10cd40a491786743b0ee",
"chunk-061324cc36078214691a6fc1cd0aaeea",
"chunk-613d6dfd4c5e9c807229a3147f96b584",
"chunk-d26b288ed4001dc5c504dce0eb841362",
"chunk-e9438f69c9e221d9f0f00a05ad84eac6",
"chunk-9841d66d8fb8548aab40220663a51693",
"chunk-afc57a0e9548d1f484da6df6c182676b",
"chunk-18d968b78afe916b419c1b5973421ebe",
"chunk-aa5435156b829944c173fa1d2d7a93d4"
],
"content_summary": "# 章节导航\n\n以下内容由入库阶段从制度原文中提取，供检索时优先理解制度层级、条目和标准所在章节。\n\n- 第一章 总则.............................................................. 4\n- 第二章 职责分工 .......................................................... 4\n- 第三章 支出报销申请与审批 ................................",
"content_length": 25627,
"created_at": "2026-05-16T15:30:53.520431+00:00",
"updated_at": "2026-05-16T15:37:12.723203+00:00",
"file_path": "/app/server/storage/knowledge/报销制度/bf761bd8eccf402bb676423d64401a56__远光《公司支出管理办法（2024）》.pdf",
"track_id": "insert_20260516_153053_5bdb18b7",
"content_summary": "商密【中】\n\n 远光软件股份有限公司文件\n\n 远光制度〔2024〕14 号\n\n关于颁布《公司支出管理办法（2024）》的\n 通知\n\n公司各部门、分支机构、子公司：\n 为适应公司业务发展需要，优化、完善支出和报销标准，规\n范支出业务审批和报销过程，防范经营风险，依据国家有关法\n律法规，参照国家电网公司和国网数科公司有关管理规定，结\n合市场经营环境和公司实际情况，在广泛征求意见的基础上，\n公司对《公司支出管理办法》进行了修订，现予颁布。本办法自\n颁布之日起...",
"content_length": 25301,
"created_at": "2026-05-17T09:57:22.410485+00:00",
"updated_at": "2026-05-17T10:01:33.272539+00:00",
"file_path": "/app/server/storage/knowledge/报销制度/2c1cb358f08d44ceb0e4d287133206ec__远光《公司支出管理办法（2024）》.pdf",
"track_id": "insert_20260517_095722_e223c7de",
"metadata": {
"processing_start_time": 1778945453,
"processing_end_time": 1778945832
"processing_start_time": 1779011842,
"processing_end_time": 1779012093
}
}
}

3803
server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_entity_chunks.json
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12
server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_full_docs.json
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File diff suppressed because one or more lines are too long

467
server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_full_entities.json
View File

@@ -1,225 +1,268 @@
{
"bf761bd8eccf402bb676423d64401a56": {
"2c1cb358f08d44ceb0e4d287133206ec": {
"entity_names": [
"公对公结算方式",
"业务招待",
"营销中心",
"预算外支出",
"第十四条业务招待费",
"材料采购",
"对外捐赠支出",
"第五章附则",
"事业部总经理",
"第四章重点支出管理规定",
"Home Visit Travel Expenses Management Policy",
"组织人事部",
"三流一致原则",
"预算先行原则",
"第五条计划财务部主要职责",
"业务招待费",
"Long-Term Business Accommodation",
"无形资产",
"各级管理人员",
"第二十三条",
"第四条归口管理部门主要职责",
"附表3",
"各委员会主任",
"信息管理部",
"经办人",
"品牌及市场运营中心",
"计划财务部",
"Department Head",
"业务原始凭据",
"经办部门",
"系统单据",
"保证金",
"邮递费",
"第十一条",
"第二十一条",
"分级授权原则",
"后勤服务部",
"Company Business Travel System",
"国家电网公司",
"Meeting Expenses",
"工会委员会",
"特殊事项",
"前款不清、后款不借",
"Advertising and Promotion Expenses",
"广告宣传费",
"异地挂职锻炼",
"Grassroots Manager P4",
"Other Employees",
"税控系统明细清单",
"商旅订票",
"分支机构",
"低值易耗品",
"产品规划设计部",
"培训费",
"第一条规定义",
"经济舱6折及以下",
"三个月",
"托运费",
"Commercial Insurance",
"工会经费管理办法",
"增值税专用发票",
"第七条各级管理人员主要职责",
"Compensation and Benefits Expenses",
"外聘专家",
"第十二条市内交通费",
"分类控制原则",
"Value Reimbursement System",
"第八条支出报销申请",
"会议费",
"轮船三等舱",
"第四条归口管理",
"终审岗",
"总经理",
"中国外汇交易中心",
"Middle And Grassroots Manager P4-P6",
"办公用品",
"办公室(党委办公室)",
"控股子公司",
"支出审批权限表",
"公司领导",
"证券与法律事务部",
"支出审批流转程序",
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240
server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_full_relations.json
View File

@@ -1,182 +1,166 @@
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server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_relation_chunks.json
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"业务招待费<SEP>第十四条": {
"chunk_ids": [
"chunk-d26b288ed4001dc5c504dce0eb841362"
],
"count": 1,
"create_time": 1779012092,
"update_time": 1779012092,
"_id": "业务招待费<SEP>第十四条"
},
"会议费<SEP>第十五条": {
"chunk_ids": [
"chunk-d26b288ed4001dc5c504dce0eb841362"
],
"count": 1,
"create_time": 1779012092,
"update_time": 1779012092,
"_id": "会议费<SEP>第十五条"
},
"会议费<SEP>公司总裁": {
"chunk_ids": [
"chunk-d26b288ed4001dc5c504dce0eb841362"
],
"count": 1,
"create_time": 1779012093,
"update_time": 1779012093,
"_id": "会议费<SEP>公司总裁"
}
}

153
server/storage/knowledge/.lightrag/x_financial_knowledge/kv_store_text_chunks.json
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0
server/storage/knowledge/报销制度/bf761bd8eccf402bb676423d64401a56__远光《公司支出管理办法（2024）》.pdf → server/storage/knowledge/报销制度/2c1cb358f08d44ceb0e4d287133206ec__远光《公司支出管理办法（2024）》.pdf
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server/storage/knowledge/报销制度/a8f8465df08e455ebe133351721d49f8__无单需求文档0506.docx Normal file
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8
server/tests/test_knowledge_normalizer.py
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@@ -44,9 +44,9 @@ def test_knowledge_normalizer_appends_structured_table(monkeypatch) -> None:
enriched = service.build_enriched_text(raw_text)
assert enriched.startswith("# 结构化表格补充")
assert enriched.startswith(raw_text.strip())
assert "| 餐补 | 75 | 65 | 55 | 140 |" in enriched
assert enriched.endswith(raw_text.strip())
assert enriched.endswith("| 合计 | 110 | 100 | 90 | 175 |")
def test_knowledge_normalizer_keeps_only_markdown_table_body() -> None:
@@ -79,12 +79,12 @@ def test_knowledge_normalizer_builds_section_navigation_without_table() -> None:
service = KnowledgeNormalizationService(db)
enriched = service.build_enriched_text(raw_text)
assert enriched.startswith("# 章节导航")
assert enriched.startswith(raw_text.strip())
assert "- 第一章 总则" in enriched
assert "## 第二章 住宿费标准" in enriched
assert "# 问答线索补充" in enriched
assert "- 第二章 住宿费标准：住宿费按照出差城市档位和职级标准执行" in enriched
assert enriched.endswith(raw_text.strip())
assert "# 章节导航" in enriched
def test_knowledge_normalizer_builds_answer_clues_from_lists_and_kv_lines() -> None:

48
server/tests/test_knowledge_rag_service.py
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@@ -74,6 +74,28 @@ def test_build_hits_prioritizes_answer_clue_appendix_for_rule_queries() -> None:
assert [item["candidate_id"] for item in hits] == ["clue-1", "plain-1"]
def test_build_hits_demotes_chapter_navigation_for_specific_rule_queries() -> None:
hits = KnowledgeRagService._build_hits_from_query_data(
query="探亲差旅归哪个部门管理？",
chunks=[
{
"chunk_id": "toc-1",
"file_path": "/tmp/doc-1__费用制度.md",
"content": "# 章节导航\n\n- 第一章 总则\n- 第二章 职责分工\n- 第三章 支出归口",
},
{
"chunk_id": "body-1",
"file_path": "/tmp/doc-1__费用制度.md",
"content": "附表3：支出归口管理部门与归口业务范围\n组织人事部：探亲差旅、条件艰苦及安全风险较高区域补助等支出。",
},
],
entities=[],
limit=2,
)
assert [item["candidate_id"] for item in hits] == ["body-1", "toc-1"]
def test_resolve_default_qdrant_url_prefers_container_host(monkeypatch) -> None:
monkeypatch.setattr(
knowledge_rag_module.socket,
@@ -93,3 +115,29 @@ def test_resolve_default_qdrant_url_falls_back_to_loopback(monkeypatch) -> None:
monkeypatch.setattr(knowledge_rag_module.socket, "getaddrinfo", raise_lookup_error)
assert knowledge_rag_module._resolve_default_qdrant_url() == "http://127.0.0.1:6333"
def test_is_query_ready_status_rejects_failed_status_even_with_chunks() -> None:
assert (
KnowledgeRagService.is_query_ready_status(
{
"status": "failed",
"chunks_count": 11,
"chunks_list": ["chunk-1"],
}
)
is False
)
def test_is_query_ready_status_rejects_processing_status_even_with_chunks() -> None:
assert (
KnowledgeRagService.is_query_ready_status(
{
"status": "processing",
"chunks_count": 11,
"chunks_list": ["chunk-1"],
}
)
is False
)

81
server/tests/test_knowledge_service.py Normal file
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@@ -0,0 +1,81 @@
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import create_engine
from sqlalchemy.orm import Session, sessionmaker
from sqlalchemy.pool import StaticPool
from app.api.deps import CurrentUserContext
from app.core.agent_enums import AgentName, AgentRunSource, AgentRunStatus
from app.db.base import Base
from app.services.agent_runs import AgentRunService
from app.services.knowledge import (
KNOWLEDGE_INGEST_STATUS_FAILED,
KNOWLEDGE_INGEST_STATUS_SYNCING,
KnowledgeService,
)
def build_session() -> Session:
engine = create_engine(
"sqlite+pysqlite:///:memory:",
connect_args={"check_same_thread": False},
poolclass=StaticPool,
)
Base.metadata.create_all(bind=engine)
session_factory = sessionmaker(bind=engine, autoflush=False, autocommit=False)
return session_factory()
def test_reconcile_document_ingest_status_keeps_failed_when_linked_run_failed(
tmp_path,
monkeypatch,
) -> None:
with build_session() as db:
service = KnowledgeService(storage_root=tmp_path, db=db)
uploaded = service.upload_document(
"报销制度",
"demo.txt",
b"hello",
CurrentUserContext(
username="admin",
name="管理员",
role_codes=["manager"],
is_admin=True,
),
)
run = AgentRunService(db).create_run(
agent=AgentName.HERMES.value,
source=AgentRunSource.USER_MESSAGE.value,
status=AgentRunStatus.FAILED.value,
route_json={"job_type": "knowledge_index_sync"},
)
service.set_document_ingest_statuses(
[uploaded.id],
KNOWLEDGE_INGEST_STATUS_SYNCING,
agent_run_id=run.run_id,
)
monkeypatch.setattr(
"app.services.knowledge_rag.KnowledgeRagService.get_document_status_map",
lambda self, _document_ids: {
uploaded.id: {
"status": "processing",
"query_ready": False,
"updated_at": datetime.now(UTC).isoformat(),
}
},
)
index = service._load_index()
changed = service._reconcile_document_ingest_statuses(
index,
document_ids=[uploaded.id],
preserve_syncing=False,
)
entry = next(item for item in index["documents"] if item["id"] == uploaded.id)
assert changed is True
assert entry["ingest_status"] == KNOWLEDGE_INGEST_STATUS_FAILED