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feat: 新增风险规则生成引擎与知识图谱可视化

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后端新增风险规则自动生成和模板执行服务，支持从规则资产
批量生成并持久化风险规则文件；知识库入库日志增强图谱
查询和本地 RAG 回退，前端审计页面增加风险规则模型和流
程图组件，知识入库面板拆分为图谱可视化子组件，报销创
建页面增加引导式流程模型，更新知识库索引数据。
This commit is contained in:
caoxiaozhu
2026-05-23 19:54:42 +08:00
parent 5b388d08c0
commit 575f093c74
63 changed files with 35497 additions and 1517 deletions
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90
server/rules/risk-rules/risk.expense.generated_20260523010818.json Normal file
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@@ -0,0 +1,90 @@
{
"schema_version": "2.0",
"rule_code": "risk.expense.generated_20260523010818",
"name": "住宿城市必须出现在本次差旅行程城市中风险规则",
"description": "当报销业务满足“住宿城市必须出现在本次差旅行程城市中，如果酒店发票城市与申报目的地或交通票行程城市都不一致，则判定为高风险，并要求补充差旅说明。”时，系统会按高风险进行提示，并要求经办人或审核人补充核对依据。",
"enabled": true,
"risk_dimension": "natural_language_rule",
"risk_category": "报销",
"ontology_signal": "natural_language_risk",
"evaluator": "template_rule",
"template_key": "field_compare_v1",
"applies_to": {
"domains": [
"expense"
]
},
"inputs": {
"fields": [
{
"key": "claim.reason",
"label": "报销事由",
"type": "text",
"source": "claim"
},
{
"key": "claim.location",
"label": "申报地点",
"type": "text",
"source": "claim"
},
{
"key": "attachment.hotel_city",
"label": "住宿城市",
"type": "text",
"source": "attachment"
},
{
"key": "attachment.route_cities",
"label": "行程城市",
"type": "list",
"source": "attachment"
}
]
},
"params": {
"template_key": "field_compare_v1",
"field_keys": [
"claim.reason",
"claim.location",
"attachment.hotel_city",
"attachment.route_cities"
],
"condition_summary": "对比报销事由、申报地点、住宿城市之间是否一致或存在交集",
"natural_language": "住宿城市必须出现在本次差旅行程城市中，如果酒店发票城市与申报目的地或交通票行程城市都不一致，则判定为高风险，并要求补充差旅说明。",
"conditions": [
{
"left": "claim.reason",
"operator": "overlap",
"right": "claim.location"
}
]
},
"outcomes": {
"pass": {
"severity": "none",
"action": "continue"
},
"fail": {
"severity": "high",
"action": "manual_review"
}
},
"metadata": {
"owner": "WangMin",
"stability": "generated_draft",
"source_ref": "自然语言风险规则",
"created_at": "2026-05-23T01:08:18.310751+00:00",
"created_by": "WangMin",
"natural_language": "住宿城市必须出现在本次差旅行程城市中，如果酒店发票城市与申报目的地或交通票行程城市都不一致，则判定为高风险，并要求补充差旅说明。",
"business_explanation": "当报销业务满足“住宿城市必须出现在本次差旅行程城市中，如果酒店发票城市与申报目的地或交通票行程城市都不一致，则判定为高风险，并要求补充差旅说明。”时，系统会按高风险进行提示，并要求经办人或审核人补充核对依据。",
"condition_summary": "对比报销事由、申报地点、住宿城市之间是否一致或存在交集",
"flow": {
"start": "报销单据提交",
"evidence": "读取报销事由、申报地点、住宿城市",
"decision": "对比报销事由、申报地点、住宿城市之间是否一致或存在交集",
"pass": "未命中风险，继续业务流转",
"fail": "命中高风险，提示复核"
}
}
}

90
server/rules/risk-rules/risk.expense.generated_20260523010846.json Normal file
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@@ -0,0 +1,90 @@
{
"schema_version": "2.0",
"rule_code": "risk.expense.generated_20260523010846",
"name": "酒店发票城市必须与申报目的地或交通票风险规则",
"description": "当报销业务满足“酒店发票城市必须与申报目的地或交通票行程城市一致，如果都不一致，则判定为高风险，并要求报销人补充异常行程说明。”时，系统会按高风险进行提示，并要求经办人或审核人补充核对依据。",
"enabled": true,
"risk_dimension": "natural_language_rule",
"risk_category": "报销",
"ontology_signal": "natural_language_risk",
"evaluator": "template_rule",
"template_key": "field_compare_v1",
"applies_to": {
"domains": [
"expense"
]
},
"inputs": {
"fields": [
{
"key": "claim.reason",
"label": "报销事由",
"type": "text",
"source": "claim"
},
{
"key": "claim.location",
"label": "申报地点",
"type": "text",
"source": "claim"
},
{
"key": "claim.employee_name",
"label": "报销人",
"type": "text",
"source": "claim"
},
{
"key": "attachment.route_cities",
"label": "行程城市",
"type": "list",
"source": "attachment"
}
]
},
"params": {
"template_key": "field_compare_v1",
"field_keys": [
"claim.reason",
"claim.location",
"claim.employee_name",
"attachment.route_cities"
],
"condition_summary": "对比报销事由、申报地点、报销人之间是否一致或存在交集",
"natural_language": "酒店发票城市必须与申报目的地或交通票行程城市一致，如果都不一致，则判定为高风险，并要求报销人补充异常行程说明。",
"conditions": [
{
"left": "claim.reason",
"operator": "overlap",
"right": "claim.location"
}
]
},
"outcomes": {
"pass": {
"severity": "none",
"action": "continue"
},
"fail": {
"severity": "high",
"action": "manual_review"
}
},
"metadata": {
"owner": "min.wang@xfinance.com",
"stability": "generated_draft",
"source_ref": "自然语言风险规则",
"created_at": "2026-05-23T01:08:46.286513+00:00",
"created_by": "min.wang@xfinance.com",
"natural_language": "酒店发票城市必须与申报目的地或交通票行程城市一致，如果都不一致，则判定为高风险，并要求报销人补充异常行程说明。",
"business_explanation": "当报销业务满足“酒店发票城市必须与申报目的地或交通票行程城市一致，如果都不一致，则判定为高风险，并要求报销人补充异常行程说明。”时，系统会按高风险进行提示，并要求经办人或审核人补充核对依据。",
"condition_summary": "对比报销事由、申报地点、报销人之间是否一致或存在交集",
"flow": {
"start": "报销单据提交",
"evidence": "读取报销事由、申报地点、报销人",
"decision": "对比报销事由、申报地点、报销人之间是否一致或存在交集",
"pass": "未命中风险，继续业务流转",
"fail": "命中高风险，提示复核"
}
}
}

90
server/rules/risk-rules/risk.expense.generated_20260523011139.json Normal file
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@@ -0,0 +1,90 @@
{
"schema_version": "2.0",
"rule_code": "risk.expense.generated_20260523011139",
"name": "酒店发票城市一致性校验",
"description": "校验酒店发票城市是否与申报目的地或行程城市一致，不一致时标记为高风险并要求补充说明",
"enabled": true,
"risk_dimension": "natural_language_rule",
"risk_category": "报销",
"ontology_signal": "natural_language_risk",
"evaluator": "template_rule",
"template_key": "field_compare_v1",
"applies_to": {
"domains": [
"expense"
]
},
"inputs": {
"fields": [
{
"key": "attachment.route_cities",
"label": "行程城市",
"type": "list",
"source": "attachment"
},
{
"key": "claim.location",
"label": "申报地点",
"type": "text",
"source": "claim"
},
{
"key": "attachment.hotel_city",
"label": "住宿城市",
"type": "text",
"source": "attachment"
},
{
"key": "claim.reason",
"label": "报销事由",
"type": "text",
"source": "claim"
}
]
},
"params": {
"template_key": "field_compare_v1",
"field_keys": [
"attachment.hotel_city",
"claim.location",
"attachment.route_cities",
"claim.reason"
],
"condition_summary": "对比住宿城市、申报地点、行程城市之间是否一致或存在交集",
"natural_language": "酒店发票城市必须与申报目的地或交通票行程城市一致，如果都不一致，则判定为高风险，并要求补充异常行程说明。",
"conditions": [
{
"left": "attachment.hotel_city",
"operator": "overlap",
"right": "claim.location"
}
]
},
"outcomes": {
"pass": {
"severity": "none",
"action": "continue"
},
"fail": {
"severity": "high",
"action": "manual_review"
}
},
"metadata": {
"owner": "WangMin",
"stability": "generated_draft",
"source_ref": "自然语言风险规则",
"created_at": "2026-05-23T01:11:39.165281+00:00",
"created_by": "WangMin",
"natural_language": "酒店发票城市必须与申报目的地或交通票行程城市一致，如果都不一致，则判定为高风险，并要求补充异常行程说明。",
"business_explanation": "校验酒店发票城市是否与申报目的地或行程城市一致，不一致时标记为高风险并要求补充说明",
"condition_summary": "对比住宿城市、申报地点、行程城市之间是否一致或存在交集",
"flow": {
"start": "提交酒店发票",
"evidence": "读取住宿城市、申报地点、行程城市",
"decision": "对比住宿城市、申报地点、行程城市之间是否一致或存在交集",
"pass": "继续流转",
"fail": "提示高风险：酒店发票城市与申报目的地及行程城市均不一致，需补充异常行程说明"
}
}
}

38
server/src/app/api/v1/endpoints/agent_assets.py
View File

@@ -23,6 +23,7 @@ from app.schemas.agent_asset import (
AgentAssetRead,
AgentAssetReviewCreate,
AgentAssetReviewRead,
AgentAssetRiskRuleGenerateRequest,
AgentAssetRuleJsonRead,
AgentAssetRuleJsonWrite,
AgentAssetSpreadsheetChangeRecordRead,
@@ -33,6 +34,7 @@ from app.schemas.agent_asset import (
)
from app.schemas.common import ErrorResponse
from app.services.agent_assets import AgentAssetService
from app.services.risk_rule_generation import RiskRuleGenerationService
router = APIRouter(prefix="/agent-assets")
DbSession = Annotated[Session, Depends(get_db)]
@@ -154,6 +156,35 @@ def save_agent_asset_rule_json(
_handle_asset_error(exc)
@router.post(
"/risk-rules/generate",
response_model=AgentAssetRead,
status_code=status.HTTP_201_CREATED,
summary="根据自然语言新建风险规则草稿",
description="根据业务域、风险等级和自然语言描述生成 JSON 风险规则，并保存为待审核草稿资产。",
)
def generate_agent_asset_risk_rule(
payload: AgentAssetRiskRuleGenerateRequest,
current_user: RuleEditorUser,
db: DbSession,
x_actor: ActorHeader = None,
x_request_id: RequestIdHeader = None,
) -> AgentAssetRead:
try:
actor = (x_actor or current_user.name or "system").strip() or "system"
asset_id = RiskRuleGenerationService(db).generate_rule_asset(
payload,
actor=actor,
request_id=x_request_id,
)
asset = AgentAssetService(db).get_asset(asset_id)
if asset is None:
raise LookupError("Asset not found")
return asset
except Exception as exc:
_handle_asset_error(exc)
@router.get(
"/{asset_id}/spreadsheet/onlyoffice-config",
response_model=AgentAssetOnlyOfficeConfigRead,
@@ -508,11 +539,7 @@ def create_agent_asset_review(
try:
role_codes = {item.strip() for item in current_user.role_codes}
if payload.review_status.value == "pending":
if not (
current_user.is_admin
or "manager" in role_codes
or "finance" in role_codes
):
if not (current_user.is_admin or "manager" in role_codes or "finance" in role_codes):
raise PermissionError("只有财务人员或高级管理人员可以提交审核。")
elif not (current_user.is_admin or "manager" in role_codes):
raise PermissionError("只有高级管理人员可以审核规则。")
@@ -599,4 +626,3 @@ def get_agent_asset_version_timeline(
return AgentAssetService(db).list_version_timeline(asset_id)
except Exception as exc:
_handle_asset_error(exc)

7
server/src/app/schemas/agent_asset.py
View File

@@ -104,11 +104,18 @@ class AgentAssetRuleJsonRead(BaseModel):
description: str = ""
evaluator: str = ""
ontology_signal: str | None = None
flow_diagram_svg: str | None = None
inputs: dict[str, Any] = Field(default_factory=dict)
outcomes: dict[str, Any] = Field(default_factory=dict)
payload: dict[str, Any] = Field(default_factory=dict)
class AgentAssetRiskRuleGenerateRequest(BaseModel):
business_domain: AgentAssetDomain = AgentAssetDomain.EXPENSE
risk_level: str = Field(default="medium", pattern="^(low|medium|high)$")
natural_language: str = Field(min_length=8, max_length=2000)
class AgentAssetVersionTimelineItemRead(BaseModel):
event_type: str
version: str

2
server/src/app/services/agent_asset_json_rules.py
View File

@@ -42,6 +42,7 @@ class AgentAssetJsonRuleMixin:
description=str(payload.get("description") or asset.description or "").strip(),
evaluator=str(payload.get("evaluator") or ""),
ontology_signal=str(payload.get("ontology_signal") or "") or None,
flow_diagram_svg=str(payload.get("flow_diagram_svg") or "") or None,
inputs=payload.get("inputs") if isinstance(payload.get("inputs"), dict) else {},
outcomes=payload.get("outcomes") if isinstance(payload.get("outcomes"), dict) else {},
payload=payload,
@@ -95,4 +96,3 @@ class AgentAssetJsonRuleMixin:
)
self.db.commit()
return self.read_rule_json(asset_id)

19
server/src/app/services/agent_foundation.py
View File

@@ -1,5 +1,7 @@
from __future__ import annotations
import threading
from sqlalchemy import select
from sqlalchemy.orm import Session
@@ -31,6 +33,8 @@ from app.services.agent_foundation_risk_rules import AgentFoundationRiskRuleMixi
from app.services.agent_foundation_spreadsheets import AgentFoundationSpreadsheetMixin
logger = get_logger("app.services.agent_foundation")
_foundation_ready_lock = threading.RLock()
_foundation_ready_keys: set[str] = set()
def prepare_agent_foundation() -> None:
@@ -57,6 +61,17 @@ class AgentFoundationService(
self.db = db
def ensure_foundation_ready(self) -> None:
cache_key = self._foundation_cache_key()
if cache_key in _foundation_ready_keys:
return
with _foundation_ready_lock:
if cache_key in _foundation_ready_keys:
return
self._prepare_foundation()
_foundation_ready_keys.add(cache_key)
def _prepare_foundation(self) -> None:
try:
Base.metadata.create_all(bind=self.db.get_bind())
self._ensure_agent_asset_schema()
@@ -69,6 +84,10 @@ class AgentFoundationService(
logger.exception("Failed to prepare agent foundation")
raise
def _foundation_cache_key(self) -> str:
bind = self.db.get_bind()
return str(getattr(bind, "url", "") or id(bind))
def _sync_demo_financial_records(self) -> None:
if get_settings().seed_demo_financial_records:
self._seed_financial_records()

20
server/src/app/services/agent_runs.py
View File

@@ -6,12 +6,14 @@ from typing import Any
from sqlalchemy.orm import Session
from app.core.config import get_settings
from app.core.agent_enums import AgentName, AgentPermissionLevel, AgentRunStatus
from app.core.logging import get_logger
from app.models.agent_run import AgentRun, AgentToolCall, SemanticParseLog
from app.repositories.agent_run import AgentRunRepository
from app.schemas.agent_run import AgentRunRead, AgentToolCallRead, SemanticParseRead
from app.services.agent_foundation import AgentFoundationService
from app.services.knowledge_ingest_log import enrich_knowledge_ingest_route_json
logger = get_logger("app.services.agent_runs")
@@ -42,7 +44,7 @@ class AgentRunService:
run = self.repository.get_by_run_id(run_id)
if run is None:
return None
return self._serialize_run(run)
return self._serialize_run(run, enrich_knowledge_ingest=True)
def create_run(
self,
@@ -314,9 +316,19 @@ class AgentRunService:
except ValueError:
return None
@staticmethod
def _serialize_run(run: AgentRun) -> AgentRunRead:
def _serialize_run(
self,
run: AgentRun,
*,
enrich_knowledge_ingest: bool = False,
) -> AgentRunRead:
semantic_parse = run.semantic_parse_logs[0] if run.semantic_parse_logs else None
route_json = run.route_json
if enrich_knowledge_ingest:
route_json = enrich_knowledge_ingest_route_json(
dict(run.route_json or {}),
storage_root=get_settings().resolved_storage_root_dir,
)
return AgentRunRead(
id=run.id,
run_id=run.run_id,
@@ -325,7 +337,7 @@ class AgentRunService:
user_id=run.user_id,
task_id=run.task_id,
ontology_json=run.ontology_json,
route_json=run.route_json,
route_json=route_json,
permission_level=run.permission_level,
status=run.status,
result_summary=run.result_summary,

98
server/src/app/services/expense_claim_platform_risk.py
View File

@@ -1,36 +1,19 @@
from __future__ import annotations
import re
from datetime import UTC, date, datetime, timedelta
from decimal import Decimal
from types import SimpleNamespace
from typing import Any
from sqlalchemy import or_, select
from sqlalchemy import inspect as sqlalchemy_inspect
from sqlalchemy import select
from app.api.deps import CurrentUserContext
from app.core.agent_enums import AgentAssetDomain, AgentAssetStatus, AgentAssetType
from app.models.agent_asset import AgentAsset
from app.models.financial_record import ExpenseClaim, ExpenseClaimItem
from app.schemas.reimbursement import TravelReimbursementCalculatorRequest
from app.services.agent_asset_rule_library import AgentAssetRuleLibraryManager
from app.services.agent_asset_spreadsheet import RISK_RULES_LIBRARY
from app.services.expense_claim_constants import (
AI_REVIEW_LOOKBACK_DAYS,
AI_REVIEW_REPEAT_RISK_BLOCK_COUNT,
AI_REVIEW_REPEAT_RISK_WARNING_COUNT,
DOCUMENT_FACT_ITEM_TYPES,
LOCATION_REQUIRED_EXPENSE_TYPES,
SYSTEM_GENERATED_ITEM_TYPES,
TRAVEL_ALLOWANCE_TRIGGER_ITEM_TYPES,
TRAVEL_POLICY_HOTEL_NIGHT_PATTERN,
)
from app.services.expense_rule_runtime import (
ExpenseRuleRuntimeService,
RuntimeTravelPolicy,
build_default_expense_rule_catalog,
)
from app.services.risk_rule_template_executor import RiskRuleTemplateExecutor
class ExpenseClaimPlatformRiskMixin:
@@ -66,9 +49,7 @@ class ExpenseClaimPlatformRiskMixin:
if severity == "high" or action == "block":
blocking_reasons.append(str(flag.get("message") or flag.get("label") or "").strip())
deduplicated_reasons = list(
dict.fromkeys(reason for reason in blocking_reasons if reason)
)
deduplicated_reasons = list(dict.fromkeys(reason for reason in blocking_reasons if reason))
return {"flags": flags, "blocking_reasons": deduplicated_reasons}
def _load_platform_risk_rule_manifests(
@@ -77,9 +58,7 @@ class ExpenseClaimPlatformRiskMixin:
rule_codes: list[str] | None,
) -> list[dict[str, Any]]:
code_filter = {
str(code or "").strip()
for code in list(rule_codes or [])
if str(code or "").strip()
str(code or "").strip() for code in list(rule_codes or []) if str(code or "").strip()
}
manifests_by_code: dict[str, dict[str, Any]] = {}
@@ -224,12 +203,10 @@ class ExpenseClaimPlatformRiskMixin:
normalized_contexts.append(
{
"scene_code": str(document_info.get("scene_code") or "").strip().lower(),
"document_type": str(
document_info.get("document_type") or ""
).strip().lower(),
"item_type": str(
getattr(context.get("item"), "item_type", "") or ""
).strip().lower(),
"document_type": str(document_info.get("document_type") or "").strip().lower(),
"item_type": str(getattr(context.get("item"), "item_type", "") or "")
.strip()
.lower(),
}
)
@@ -312,6 +289,19 @@ class ExpenseClaimPlatformRiskMixin:
claim=claim,
contexts=contexts,
)
if evaluator == "template_rule":
result = RiskRuleTemplateExecutor().evaluate(
manifest,
claim=claim,
contexts=contexts,
)
if result is None:
return None
return self._build_platform_risk_flag(
manifest,
message=str(result.get("message") or "自然语言风险规则命中。"),
evidence=result.get("evidence") if isinstance(result.get("evidence"), dict) else {},
)
return None
def _evaluate_reason_too_brief_risk(
@@ -347,9 +337,7 @@ class ExpenseClaimPlatformRiskMixin:
reason_corpus = self._build_scene_reason_corpus(claim)
compact_reason = re.sub(r"\s+", "", reason_corpus)
looks_like_entertainment = (
"entertainment" in expense_types
or "招待" in compact_reason
or "客户" in compact_reason
"entertainment" in expense_types or "招待" in compact_reason or "客户" in compact_reason
)
if not looks_like_entertainment:
return None
@@ -374,32 +362,28 @@ class ExpenseClaimPlatformRiskMixin:
for context in contexts:
item = context["item"]
item_type = (
str(item.item_type or claim.expense_type or "other").strip().lower()
or "other"
str(item.item_type or claim.expense_type or "other").strip().lower() or "other"
)
policy = self._get_expense_scene_policy(item_type)
if policy is None:
continue
document_info = context.get("document_info") or {}
recognized_scene_code = (
str(document_info.get("scene_code") or "other").strip().lower()
or "other"
str(document_info.get("scene_code") or "other").strip().lower() or "other"
)
recognized_document_type = (
str(document_info.get("document_type") or "other").strip().lower()
or "other"
str(document_info.get("document_type") or "other").strip().lower() or "other"
)
if (
recognized_scene_code in set(policy.allowed_scene_codes)
or recognized_document_type in set(policy.allowed_document_types)
):
if recognized_scene_code in set(
policy.allowed_scene_codes
) or recognized_document_type in set(policy.allowed_document_types):
continue
recognized_label = str(
document_info.get("document_type_label")
or recognized_document_type
or "未知票据"
document_info.get("document_type_label") or recognized_document_type or "未知票据"
)
mismatches.append(
f"第 {context['index']} 条明细为{policy.label}，附件识别为{recognized_label}"
)
mismatches.append(f"第 {context['index']} 条明细为{policy.label}，附件识别为{recognized_label}")
if not mismatches:
return None
@@ -437,7 +421,10 @@ class ExpenseClaimPlatformRiskMixin:
evidence_text = "、".join(evidence_cities[:5])
return self._build_platform_risk_flag(
manifest,
message=f"申报地点 {declared_text} 与票据识别地点 {evidence_text} 不一致，建议补充异地说明或更换附件。",
message=(
f"申报地点 {declared_text} 与票据识别地点 {evidence_text} 不一致，"
"建议补充异地说明或更换附件。"
),
evidence={"declared_cities": declared_cities, "evidence_cities": evidence_cities},
)
@@ -450,9 +437,7 @@ class ExpenseClaimPlatformRiskMixin:
) -> dict[str, Any] | None:
invoice_keys = self._collect_invoice_keys_from_contexts(contexts)
duplicate_keys = [
key
for key, count in self._count_values(invoice_keys).items()
if count > 1
key for key, count in self._count_values(invoice_keys).items() if count > 1
]
if duplicate_keys:
return self._build_platform_risk_flag(
@@ -504,9 +489,7 @@ class ExpenseClaimPlatformRiskMixin:
) -> dict[str, Any] | None:
params = manifest.get("params") if isinstance(manifest.get("params"), dict) else {}
allow_keywords = [
str(value)
for value in list(params.get("allow_keywords") or [])
if str(value).strip()
str(value) for value in list(params.get("allow_keywords") or []) if str(value).strip()
]
claimant = str(claim.employee_name or "").strip()
if not claimant:
@@ -564,7 +547,10 @@ class ExpenseClaimPlatformRiskMixin:
return None
return self._build_platform_risk_flag(
manifest,
message=f"票据年份 {mismatch_years[0]} 与费用发生年份 {claim_year} 不一致，建议确认是否跨年报销。",
message=(
f"票据年份 {mismatch_years[0]} 与费用发生年份 {claim_year} 不一致，"
"建议确认是否跨年报销。"
),
evidence={"claim_year": claim_year, "invoice_years": mismatch_years},
)

53
server/src/app/services/knowledge_index_tasks.py
View File

@@ -480,6 +480,7 @@ def _build_initial_knowledge_ingest_document(
"entity_count": 0,
"relation_count": 0,
"entities": [],
"entity_chunks": [],
"relations": [],
"events": [
{
@@ -677,7 +678,7 @@ def _build_ingest_graph(knowledge_ingest: dict[str, Any]) -> dict[str, Any]:
documents = [
item for item in list(knowledge_ingest.get("documents") or []) if isinstance(item, dict)
]
entities = _dedupe_text_items(
entities = _dedupe_entities(
entity for document in documents for entity in list(document.get("entities") or [])
)
relations = _dedupe_relations(
@@ -692,20 +693,52 @@ def _build_ingest_graph(knowledge_ingest: dict[str, Any]) -> dict[str, Any]:
}
def _dedupe_text_items(items: Any) -> list[str]:
deduped: list[str] = []
def _dedupe_entities(items: Any) -> list[dict[str, Any]]:
deduped: list[dict[str, Any]] = []
seen: set[str] = set()
for item in items:
text = str(item or "").strip()
if not text or text in seen:
if isinstance(item, dict):
name = str(
item.get("name")
or item.get("entity")
or item.get("entity_id")
or item.get("title")
or item.get("id")
or ""
).strip()
entity = dict(item)
else:
name = str(item or "").strip()
entity = {}
if not name or name in seen:
continue
seen.add(text)
deduped.append(text)
seen.add(name)
entity["name"] = name
entity["type"] = str(
entity.get("type")
or entity.get("entity_type")
or entity.get("category")
or entity.get("kind")
or "实体"
).strip()
description = str(entity.get("description") or "").strip()
descriptions = entity.get("descriptions")
if not isinstance(descriptions, list):
descriptions = [description] if description else []
entity["description"] = description
entity["descriptions"] = [
str(description_item or "").strip()
for description_item in descriptions
if str(description_item or "").strip()
][:5]
if not isinstance(entity.get("properties"), dict):
entity["properties"] = {}
deduped.append(entity)
return deduped
def _dedupe_relations(items: Any) -> list[dict[str, str]]:
deduped: list[dict[str, str]] = []
def _dedupe_relations(items: Any) -> list[dict[str, Any]]:
deduped: list[dict[str, Any]] = []
seen: set[tuple[str, str, str]] = set()
for item in items:
if not isinstance(item, dict):
@@ -717,7 +750,7 @@ def _dedupe_relations(items: Any) -> list[dict[str, str]]:
if not source or not target or key in seen:
continue
seen.add(key)
deduped.append({"source": source, "target": target, "type": relation_type})
deduped.append({**item, "source": source, "target": target, "type": relation_type})
return deduped

325
server/src/app/services/knowledge_ingest_log.py
View File

@@ -1,15 +1,21 @@
from __future__ import annotations
import json
import os
import re
from pathlib import Path
from typing import Any
from xml.etree import ElementTree
MAX_INGEST_LOG_CHUNKS = 24
MAX_INGEST_LOG_ENTITIES = 24
MAX_INGEST_LOG_ENTITY_CHUNKS = 48
MAX_INGEST_LOG_RELATIONS = 24
MAX_INGEST_LOG_SECTIONS = 12
MAX_INGEST_LOG_TEXT_PREVIEW = 180
MAX_INGEST_LOG_ENTITY_DESCRIPTIONS = 5
GRAPHML_NAMESPACE = {"graphml": "http://graphml.graphdrawing.org/xmlns"}
GRAPH_PROPERTY_SEPARATOR = "<SEP>"
INGEST_SECTION_HEADING_PATTERN = re.compile(
r"^(?:#{1,4}\s+.+|第[一二三四五六七八九十百零0-9]+[章节条]\s*.*)$"
@@ -42,6 +48,7 @@ def build_ingest_document_summary(
"entity_count": 0,
"relation_count": 0,
"entities": [],
"entity_chunks": [],
"relations": [],
}
@@ -62,6 +69,33 @@ def build_ingest_status_summary(
}
def enrich_knowledge_ingest_route_json(
route_json: dict[str, Any],
*,
storage_root: Path,
) -> dict[str, Any]:
if not isinstance(route_json, dict):
return route_json
ingest = route_json.get("knowledge_ingest")
if not isinstance(ingest, dict):
return route_json
graph = ingest.get("graph")
if not isinstance(graph, dict):
return route_json
workspace = _resolve_lightrag_workspace(route_json)
graph_snapshot = _load_lightrag_graph_snapshot(storage_root, workspace=workspace)
if not graph_snapshot["entities"] and not graph_snapshot["relations"]:
return route_json
next_route = dict(route_json)
next_ingest = dict(ingest)
next_graph = _enrich_graph_payload(graph, graph_snapshot)
next_ingest["graph"] = next_graph
next_route["knowledge_ingest"] = next_ingest
return next_route
def build_document_graph_summary(
storage_root: Path,
*,
@@ -74,19 +108,264 @@ def build_document_graph_summary(
entities_payload = _load_json_file(workspace_dir / "kv_store_full_entities.json")
relations_payload = _load_json_file(workspace_dir / "kv_store_full_relations.json")
chunks_payload = _load_json_file(workspace_dir / "kv_store_text_chunks.json")
entity_chunks_payload = _load_json_file(workspace_dir / "kv_store_entity_chunks.json")
graph_snapshot = _load_lightrag_graph_snapshot(storage_root, workspace=workspace)
entities = _normalize_document_entities(entities_payload, document_id)
relations = _normalize_document_relations(relations_payload, document_id)
chunks = _normalize_document_chunks(chunks_payload, document_id)
entity_chunks = _normalize_document_entity_chunks(
entity_chunks_payload,
entities,
chunk_ids={str(item.get("id") or "").strip() for item in chunks},
)
return {
"entity_count": len(entities),
"relation_count": len(relations),
"entities": entities[:MAX_INGEST_LOG_ENTITIES],
"relations": relations[:MAX_INGEST_LOG_RELATIONS],
"entities": _enrich_entity_list(entities, graph_snapshot)[:MAX_INGEST_LOG_ENTITIES],
"relations": _enrich_relation_list(relations, graph_snapshot)[:MAX_INGEST_LOG_RELATIONS],
"chunks": chunks[:MAX_INGEST_LOG_CHUNKS],
"entity_chunks": entity_chunks[:MAX_INGEST_LOG_ENTITY_CHUNKS],
}
def _resolve_lightrag_workspace(route_json: dict[str, Any]) -> str:
explicit_workspace = str(
route_json.get("lightrag_workspace") or route_json.get("workspace") or ""
).strip()
if explicit_workspace:
return explicit_workspace
return os.environ.get("LIGHTRAG_WORKSPACE", "x_financial_knowledge").strip() or "x_financial_knowledge"
def _enrich_graph_payload(
graph: dict[str, Any],
graph_snapshot: dict[str, Any],
) -> dict[str, Any]:
next_graph = dict(graph)
relation_items = _extract_relation_items(graph.get("relations"))
relation_entity_names = [
name
for relation in relation_items
for name in (relation.get("source"), relation.get("target"))
]
next_graph["entities"] = _enrich_entity_list(
_dedupe_text_items(
_extract_entity_names(graph.get("entities")) + relation_entity_names
),
graph_snapshot,
)
next_graph["relations"] = _enrich_relation_list(relation_items, graph_snapshot)
return next_graph
def _enrich_entity_list(
entity_names: list[str],
graph_snapshot: dict[str, Any],
) -> list[dict[str, Any]]:
graph_entities = graph_snapshot.get("entities") or {}
return [
graph_entities.get(entity_name)
or {
"name": entity_name,
"type": "实体",
"description": "",
"descriptions": [],
"properties": {},
}
for entity_name in entity_names
]
def _enrich_relation_list(
relations: list[dict[str, Any]],
graph_snapshot: dict[str, Any],
) -> list[dict[str, Any]]:
graph_relations = graph_snapshot.get("relations") or {}
enriched_relations: list[dict[str, Any]] = []
for relation in relations:
source = str(relation.get("source") or "").strip()
target = str(relation.get("target") or "").strip()
relation_type = str(relation.get("type") or "关联").strip()
graph_relation = (
graph_relations.get((source, target))
or graph_relations.get((target, source))
or {}
)
enriched_relations.append(
{
**relation,
"source": source,
"target": target,
"type": relation_type,
"description": graph_relation.get("description", ""),
"keywords": graph_relation.get("keywords", []),
"weight": graph_relation.get("weight", relation.get("weight", 1)),
"properties": graph_relation.get("properties", {}),
}
)
return enriched_relations
def _load_lightrag_graph_snapshot(storage_root: Path, *, workspace: str) -> dict[str, Any]:
graphml_path = (
Path(storage_root)
/ "knowledge"
/ ".lightrag"
/ str(workspace).strip()
/ "graph_chunk_entity_relation.graphml"
)
if not graphml_path.exists():
return {"entities": {}, "relations": {}}
try:
root = ElementTree.parse(graphml_path).getroot()
except (ElementTree.ParseError, OSError):
return {"entities": {}, "relations": {}}
key_names = {
str(key.attrib.get("id") or ""): str(key.attrib.get("attr.name") or "")
for key in root.findall("graphml:key", GRAPHML_NAMESPACE)
}
return {
"entities": _load_graphml_entities(root, key_names),
"relations": _load_graphml_relations(root, key_names),
}
def _load_graphml_entities(
root: ElementTree.Element,
key_names: dict[str, str],
) -> dict[str, dict[str, Any]]:
entities: dict[str, dict[str, Any]] = {}
for node in root.findall(".//graphml:node", GRAPHML_NAMESPACE):
properties = _read_graphml_data(node, key_names)
name = str(properties.get("entity_id") or node.attrib.get("id") or "").strip()
if not name:
continue
descriptions = _split_graph_property(properties.get("description"))
visible_properties = _filter_graph_properties(properties)
entities[name] = {
"name": name,
"type": str(properties.get("entity_type") or "实体").strip(),
"description": descriptions[0] if descriptions else "",
"descriptions": descriptions[:MAX_INGEST_LOG_ENTITY_DESCRIPTIONS],
"properties": visible_properties,
}
return entities
def _load_graphml_relations(
root: ElementTree.Element,
key_names: dict[str, str],
) -> dict[tuple[str, str], dict[str, Any]]:
relations: dict[tuple[str, str], dict[str, Any]] = {}
for edge in root.findall(".//graphml:edge", GRAPHML_NAMESPACE):
source = str(edge.attrib.get("source") or "").strip()
target = str(edge.attrib.get("target") or "").strip()
if not source or not target:
continue
properties = _read_graphml_data(edge, key_names)
description_parts = _split_graph_property(properties.get("description"))
relations[(source, target)] = {
"description": "; ".join(description_parts[:2]),
"keywords": _split_graph_keywords(properties.get("keywords"))[:6],
"weight": _to_float(properties.get("weight"), default=1.0),
"properties": _filter_graph_properties(properties),
}
return relations
def _read_graphml_data(
element: ElementTree.Element,
key_names: dict[str, str],
) -> dict[str, str]:
data: dict[str, str] = {}
for item in element.findall("graphml:data", GRAPHML_NAMESPACE):
key = str(item.attrib.get("key") or "")
name = key_names.get(key) or key
if not name:
continue
data[name] = str(item.text or "").strip()
return data
def _split_graph_property(value: Any) -> list[str]:
return [
_truncate_text(part, max_length=MAX_INGEST_LOG_TEXT_PREVIEW)
for part in str(value or "").split(GRAPH_PROPERTY_SEPARATOR)
if str(part or "").strip()
]
def _split_graph_keywords(value: Any) -> list[str]:
keywords: list[str] = []
for part in str(value or "").split(GRAPH_PROPERTY_SEPARATOR):
keywords.extend(part.split(","))
return [
_truncate_text(keyword, max_length=60)
for keyword in keywords
if str(keyword or "").strip()
]
def _filter_graph_properties(properties: dict[str, Any]) -> dict[str, Any]:
hidden_fields = {
"source_id",
"file_path",
"truncate",
"description",
"keywords",
}
return {
key: value
for key, value in properties.items()
if key not in hidden_fields and str(value or "").strip()
}
def _extract_entity_names(raw_entities: Any) -> list[str]:
if not isinstance(raw_entities, list):
return []
names: list[str] = []
for entity in raw_entities:
if isinstance(entity, dict):
name = str(
entity.get("name")
or entity.get("entity")
or entity.get("entity_id")
or entity.get("id")
or ""
).strip()
else:
name = str(entity or "").strip()
if name:
names.append(name)
return _dedupe_text_items(names)
def _extract_relation_items(raw_relations: Any) -> list[dict[str, Any]]:
if not isinstance(raw_relations, list):
return []
relations: list[dict[str, Any]] = []
for relation in raw_relations:
if not isinstance(relation, dict):
continue
source = str(relation.get("source") or relation.get("from") or "").strip()
target = str(relation.get("target") or relation.get("to") or "").strip()
if not source or not target:
continue
relations.append(
{
**relation,
"source": source,
"target": target,
"type": str(relation.get("type") or "关联").strip(),
}
)
return relations
def _extract_ingest_sections(text: str) -> list[dict[str, str]]:
sections: list[dict[str, str]] = []
lines = [line.strip() for line in str(text or "").splitlines()]
@@ -187,11 +466,46 @@ def _normalize_document_chunks(payload: dict[str, Any], document_id: str) -> lis
"order": _to_int(raw_chunk.get("chunk_order_index")),
"tokens": _to_int(raw_chunk.get("tokens")),
"summary": _build_chunk_summary(content),
"excerpt": _truncate_text(
content,
max_length=MAX_INGEST_LOG_TEXT_PREVIEW,
),
}
)
return sorted(chunks, key=lambda item: (item["order"], item["id"]))
def _normalize_document_entity_chunks(
payload: dict[str, Any],
entities: list[str],
*,
chunk_ids: set[str],
) -> list[dict[str, Any]]:
if not entities or not chunk_ids:
return []
entity_chunks: list[dict[str, Any]] = []
for entity in entities:
raw_entry = payload.get(entity) if isinstance(payload, dict) else {}
raw_chunk_ids = raw_entry.get("chunk_ids") if isinstance(raw_entry, dict) else []
if not isinstance(raw_chunk_ids, list):
continue
matched_chunk_ids = [
str(item or "").strip()
for item in raw_chunk_ids
if str(item or "").strip() in chunk_ids
]
if not matched_chunk_ids:
continue
entity_chunks.append(
{
"entity": entity,
"chunk_ids": _dedupe_text_items(matched_chunk_ids),
}
)
return entity_chunks
def _build_chunk_summary(content: str) -> str:
lines = [line.strip() for line in str(content or "").splitlines() if line.strip()]
text = next((line for line in lines if len(line) >= 12), lines[0] if lines else "")
@@ -217,6 +531,13 @@ def _to_int(value: Any) -> int:
return 0
def _to_float(value: Any, *, default: float = 0.0) -> float:
try:
return float(value)
except (TypeError, ValueError):
return default
def _truncate_text(text: str, *, max_length: int) -> str:
normalized = " ".join(str(text or "").split()).strip()
if len(normalized) <= max_length:

32
server/src/app/services/knowledge_rag.py
View File

@@ -17,6 +17,7 @@ from app.services.knowledge_ingest_log import (
build_ingest_document_summary,
build_ingest_status_summary,
)
from app.services.knowledge_rag_local import query_local_text_chunks
from app.services.knowledge_rag_runtime import (
KnowledgeRagError,
RuntimeModelConfig,
@@ -95,6 +96,37 @@ class KnowledgeRagService:
"message": "请先输入要检索的知识库问题。",
}
workspace = (
os.environ.get("LIGHTRAG_WORKSPACE", DEFAULT_LIGHTRAG_WORKSPACE).strip()
or DEFAULT_LIGHTRAG_WORKSPACE
)
local_result = query_local_text_chunks(
lightrag_root=(self.storage_root / "knowledge" / ".lightrag").resolve(),
workspace=workspace,
query=normalized_query,
limit=limit,
)
if local_result.confident:
return {
"result_type": "knowledge_search",
"query": normalized_query,
"record_count": len(local_result.hits),
"hits": local_result.hits,
"references": [
str(item.get("code") or "").strip()
for item in local_result.hits
if str(item.get("code") or "").strip()
],
"raw_references": [],
"metadata": {
"retrieval_strategy": "local_text_chunks",
"elapsed_seconds": round(local_result.elapsed_seconds, 4),
"total_chunks": local_result.total_chunks,
"best_score": local_result.best_score,
},
"message": f"已从本地知识块中检索到 {len(local_result.hits)} 条相关内容。",
}
try:
runtime = self._get_runtime()
raw = runtime.query_data(normalized_query, conversation_history=conversation_history)

353
server/src/app/services/knowledge_rag_local.py Normal file
View File

@@ -0,0 +1,353 @@
from __future__ import annotations
import json
import re
import threading
from dataclasses import dataclass
from pathlib import Path
from time import perf_counter
from typing import Any
MAX_LOCAL_QUERY_TERMS = 14
MAX_LOCAL_HIT_CONTENT_LENGTH = 2200
MAX_LOCAL_HIT_EXCERPT_LENGTH = 240
LOCAL_CONFIDENCE_SCORE = 24
LOCAL_CONFIDENCE_MATCHES = 2
LOCAL_QUERY_STOPWORDS = {
"什么",
"多少",
"哪些",
"怎么",
"如何",
"请问",
"一下",
"关于",
"规定",
"标准",
"可以",
"是否",
"一个",
"根据",
"依据",
"给出",
"说明",
"公司",
"远光",
"软件",
"股份",
"有限",
"员工",
"当前",
"详细",
"问题",
}
LOCAL_TABLE_QUERY_HINTS = (
"标准",
"金额",
"限额",
"补贴",
"住宿",
"餐费",
"交通",
"报销",
"档位",
"额度",
)
LOCAL_DOMAIN_TERMS = (
"报销",
"费用",
"报销时限",
"申请时限",
"三个月",
"逾期",
"住宿费",
"住宿",
"差旅费",
"差旅",
"出差",
"超标",
"超过",
"审批",
"分管领导",
"部门负责人",
"业务招待",
"招待费",
"发票",
"票据",
"预算外",
"预算",
"补贴",
"餐补",
"交通费",
"会议费",
"培训费",
"通信费",
)
_index_lock = threading.RLock()
_index_cache: dict[Path, tuple[tuple[int, int], list[dict[str, Any]]]] = {}
@dataclass(frozen=True, slots=True)
class LocalKnowledgeSearchResult:
hits: list[dict[str, Any]]
confident: bool
elapsed_seconds: float
total_chunks: int
best_score: int
def query_local_text_chunks(
*,
lightrag_root: Path,
workspace: str,
query: str,
limit: int,
) -> LocalKnowledgeSearchResult:
started_at = perf_counter()
chunks = _load_text_chunks(lightrag_root / workspace / "kv_store_text_chunks.json")
query_terms = _extract_local_query_terms(query)
if not chunks or not query_terms:
return LocalKnowledgeSearchResult(
hits=[],
confident=False,
elapsed_seconds=perf_counter() - started_at,
total_chunks=len(chunks),
best_score=0,
)
prefers_tabular_evidence = any(hint in query for hint in LOCAL_TABLE_QUERY_HINTS)
candidates: list[dict[str, Any]] = []
for rank, chunk in enumerate(chunks, start=1):
content = str(chunk.get("content") or "").strip()
if not content:
continue
file_path = str(chunk.get("file_path") or "").strip()
document_id, document_name = _parse_document_identity(
file_path,
fallback_doc_id=str(chunk.get("full_doc_id") or "").strip(),
)
score, matched_terms = _score_local_chunk(
content=content,
title=document_name,
query_terms=query_terms,
rank=rank,
prefers_tabular_evidence=prefers_tabular_evidence,
)
if score <= 0:
continue
chunk_id = str(chunk.get("_id") or chunk.get("chunk_id") or "").strip()
normalized_content = _truncate_text(
content,
max_length=MAX_LOCAL_HIT_CONTENT_LENGTH,
)
candidates.append(
{
"code": f"knowledge.{document_id or 'unknown'}.{chunk_id or rank}",
"candidate_id": chunk_id or f"local-{rank}",
"title": document_name or "知识库文档",
"content": normalized_content,
"excerpt": _build_query_focused_excerpt(
normalized_content,
query_terms=query_terms,
max_length=MAX_LOCAL_HIT_EXCERPT_LENGTH,
),
"document_id": document_id,
"document_name": document_name or Path(file_path).name,
"version": None,
"updated_at": None,
"score": score,
"tags": [],
"evidence": [chunk_id] if chunk_id else [],
"file_path": file_path,
"_matched_terms": matched_terms,
}
)
ranked = sorted(
candidates,
key=lambda item: (
int(item.get("score") or 0),
len(list(item.get("_matched_terms") or [])),
-len(str(item.get("content") or "")),
),
reverse=True,
)
hits: list[dict[str, Any]] = []
for item in ranked[: max(1, limit)]:
normalized = dict(item)
normalized.pop("_matched_terms", None)
hits.append(normalized)
best_score = int(ranked[0].get("score") or 0) if ranked else 0
best_match_count = len(list(ranked[0].get("_matched_terms") or [])) if ranked else 0
confident = bool(
hits
and best_score >= LOCAL_CONFIDENCE_SCORE
and best_match_count >= LOCAL_CONFIDENCE_MATCHES
)
return LocalKnowledgeSearchResult(
hits=hits,
confident=confident,
elapsed_seconds=perf_counter() - started_at,
total_chunks=len(chunks),
best_score=best_score,
)
def _load_text_chunks(path: Path) -> list[dict[str, Any]]:
try:
stat = path.stat()
except OSError:
return []
signature = (int(stat.st_mtime_ns), int(stat.st_size))
resolved_path = path.resolve()
with _index_lock:
cached = _index_cache.get(resolved_path)
if cached is not None and cached[0] == signature:
return cached[1]
try:
payload = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
chunks: list[dict[str, Any]] = []
else:
chunks = [
dict(value)
for value in payload.values()
if isinstance(value, dict) and str(value.get("content") or "").strip()
]
chunks.sort(
key=lambda item: (
str(item.get("full_doc_id") or ""),
int(item.get("chunk_order_index") or 0),
str(item.get("_id") or ""),
)
)
_index_cache[resolved_path] = (signature, chunks)
return chunks
def _score_local_chunk(
*,
content: str,
title: str,
query_terms: list[str],
rank: int,
prefers_tabular_evidence: bool,
) -> tuple[int, list[str]]:
lowered_content = content.lower()
lowered_title = title.lower()
matched_terms = [
term for term in query_terms if term in lowered_content or term in lowered_title
]
if not matched_terms:
return 0, []
score = max(1, 32 - min(rank, 20))
for term in matched_terms:
weight = 8 if len(term) >= 4 else 5 if len(term) == 3 else 2
score += weight
if term in lowered_title:
score += max(4, weight)
occurrences = lowered_content.count(term)
if occurrences > 1:
score += min(8, occurrences * 2)
if prefers_tabular_evidence and ("|" in content or "表" in content):
score += 12
if "# 结构化表格补充" in content:
score += 10 if prefers_tabular_evidence else 4
if "# 问答线索补充" in content:
score += 8
if "# 章节导航" in content[:260]:
score -= 20
if any(marker in content for marker in ("第", "条", "：", "；", "-", "•")):
score += 4
return score, matched_terms
def _extract_local_query_terms(query: str) -> list[str]:
normalized_query = str(query or "").strip().lower()
if not normalized_query:
return []
terms: list[str] = []
seen: set[str] = set()
def remember(term: str) -> None:
normalized_term = str(term or "").strip().lower()
if (
not normalized_term
or normalized_term in seen
or normalized_term in LOCAL_QUERY_STOPWORDS
or len(normalized_term) < 2
):
return
seen.add(normalized_term)
terms.append(normalized_term)
for item in re.findall(r"[a-z0-9][a-z0-9_\-]{1,}", normalized_query):
remember(item)
for item in LOCAL_DOMAIN_TERMS:
if item in normalized_query:
remember(item)
for block in re.findall(r"[\u4e00-\u9fff]{2,24}", normalized_query):
if len(block) <= 4:
remember(block)
continue
for size in (4, 3, 2, 5):
for start in range(0, len(block) - size + 1):
remember(block[start : start + size])
if len(terms) >= MAX_LOCAL_QUERY_TERMS:
return terms
return terms[:MAX_LOCAL_QUERY_TERMS]
def _parse_document_identity(file_path: str, *, fallback_doc_id: str = "") -> tuple[str, str]:
path = Path(str(file_path or "").strip())
name = path.name
if "__" not in name:
return fallback_doc_id, name
document_id, document_name = name.split("__", maxsplit=1)
return document_id.strip() or fallback_doc_id, document_name.strip()
def _build_query_focused_excerpt(
text: str,
*,
query_terms: list[str],
max_length: int,
) -> 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 _truncate_text(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:
return normalized
return f"{normalized[: max_length - 3].rstrip()}..."

8
server/src/app/services/orchestrator.py
View File

@@ -404,6 +404,14 @@ class OrchestratorService:
ontology: OntologyParseResult,
task_asset: AgentAssetRead | None,
) -> dict[str, list[AgentAssetListItem | AgentAssetRead]]:
if ontology.scenario == "knowledge" and payload.source == AgentRunSource.USER_MESSAGE.value:
return {
"rules": [],
"skills": [],
"mcps": [],
"tasks": [],
}
domain_value = SCENARIO_TO_DOMAIN.get(ontology.scenario)
rules = self.execution_engine._rank_assets(
self.asset_service.list_assets(

191
server/src/app/services/risk_rule_flow_diagram.py Normal file
View File

@@ -0,0 +1,191 @@
# ruff: noqa: E501
from __future__ import annotations
import html
from dataclasses import dataclass
@dataclass(frozen=True)
class RiskRuleFlowDiagramField:
key: str
label: str
@dataclass(frozen=True)
class RiskRuleFlowDiagramSpec:
title: str
domain_label: str
severity: str
severity_label: str
fields: tuple[RiskRuleFlowDiagramField, ...]
start: str
evidence: str
decision: str
basis: str
pass_text: str
fail_text: str
@dataclass(frozen=True)
class RiskRuleFlowDiagramPalette:
accent: str
accent_dark: str
border: str
surface: str
class RiskRuleFlowDiagramRenderer:
"""按 fireworks-tech-graph Style 7 OpenAI Official 生成只读流程 SVG。"""
_FONT = (
"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica Neue, "
"'PingFang SC', 'Microsoft YaHei', 'Microsoft JhengHei', 'SimHei', sans-serif"
)
_TEXT = "#0d0d0d"
_MUTED = "#6e6e80"
_NEUTRAL_LINE = "#cbd5e1"
_NEUTRAL_BORDER = "#e2e8f0"
_NEUTRAL_SURFACE = "#ffffff"
_PALETTES = {
"low": RiskRuleFlowDiagramPalette(
accent="#2563eb",
accent_dark="#1d4ed8",
border="#bfdbfe",
surface="#eff6ff",
),
"medium": RiskRuleFlowDiagramPalette(
accent="#f97316",
accent_dark="#c2410c",
border="#fed7aa",
surface="#fff7ed",
),
"high": RiskRuleFlowDiagramPalette(
accent="#dc2626",
accent_dark="#b91c1c",
border="#fecaca",
surface="#fef2f2",
),
}
def render(self, spec: RiskRuleFlowDiagramSpec) -> str:
title = self._truncate(spec.title, 26)
palette = self._palette(spec.severity)
return f"""<svg xmlns="http://www.w3.org/2000/svg" width="760" height="280" viewBox="0 0 760 280" data-risk-flow-style="review-node-only" role="img" aria-labelledby="risk-flow-title risk-flow-desc">
<title id="risk-flow-title">{self._escape(title)}流程说明</title>
<desc id="risk-flow-desc">风险规则只读流程图，展示从业务单据提交到风险复核的判断路径。</desc>
<defs>
<marker id="arrow-neutral" markerWidth="10" markerHeight="7" refX="9" refY="3.5" orient="auto">
<polygon points="0 0, 10 3.5, 0 7" fill="{self._NEUTRAL_LINE}"/>
</marker>
</defs>
<rect width="760" height="280" fill="#ffffff"/>
<rect x="18" y="18" width="724" height="244" rx="8" ry="8" fill="none" stroke="{self._NEUTRAL_BORDER}" stroke-width="1" stroke-dasharray="4,3"/>
<text x="34" y="43" fill="{self._MUTED}" font-family="{self._FONT}" font-size="11" font-weight="500">RULE FLOW</text>
{self._node("业务输入", spec.start, 48, 118, 124, 60)}
{self._node("字段取数", "读取字段证据", 214, 118, 132, 60)}
{self._diamond("判断依据", spec.decision, 392, 92, 112, 112)}
{self._node("继续流转", spec.pass_text, 562, 74, 126, 60)}
{self._node("进入复核", spec.fail_text, 562, 190, 126, 62, palette=palette)}
{self._note(spec.basis, 214, 218, 290, 36)}
<line x1="172" y1="148" x2="214" y2="148" stroke="{self._NEUTRAL_LINE}" stroke-width="1.45" marker-end="url(#arrow-neutral)"/>
<line x1="346" y1="148" x2="392" y2="148" stroke="{self._NEUTRAL_LINE}" stroke-width="1.45" marker-end="url(#arrow-neutral)"/>
<path d="M 504 127 L 532 127 L 532 104 L 562 104" fill="none" stroke="{self._NEUTRAL_LINE}" stroke-width="1.35" marker-end="url(#arrow-neutral)"/>
<text x="534" y="119" text-anchor="middle" fill="{self._MUTED}" font-family="{self._FONT}" font-size="10.5" font-weight="400">否</text>
<path d="M 504 169 L 532 169 L 532 221 L 562 221" fill="none" stroke="{self._NEUTRAL_LINE}" stroke-width="1.8" marker-end="url(#arrow-neutral)"/>
<text x="534" y="195" text-anchor="middle" fill="{self._MUTED}" font-family="{self._FONT}" font-size="10.5" font-weight="600">是</text>
</svg>"""
def _node(
self,
title: str,
body: str,
x: int,
y: int,
width: int,
height: int,
palette: RiskRuleFlowDiagramPalette | None = None,
) -> str:
body_lines = self._wrap(body, 10 if width <= 126 else 11, 1)
border = palette.border if palette else self._NEUTRAL_BORDER
stripe = palette.accent if palette else self._NEUTRAL_LINE
surface = palette.surface if palette else self._NEUTRAL_SURFACE
return f"""<g>
<rect x="{x}" y="{y}" width="{width}" height="{height}" rx="7" ry="7" fill="{surface}" stroke="{border}" stroke-width="1.2"/>
<rect x="{x}" y="{y}" width="3.5" height="{height}" rx="1.75" ry="1.75" fill="{stripe}"/>
<text x="{x + width / 2:.0f}" y="{y + 24}" text-anchor="middle" fill="{self._TEXT}" font-family="{self._FONT}" font-size="13" font-weight="600">{self._escape(title)}</text>
{self._text_lines(body_lines, x + width / 2, y + 43, "middle", self._MUTED, 11)}
</g>"""
def _diamond(
self,
title: str,
body: str,
x: int,
y: int,
width: int,
height: int,
) -> str:
cx = x + width / 2
cy = y + height / 2
points = f"{cx},{y} {x + width},{cy} {cx},{y + height} {x},{cy}"
body_lines = self._wrap(body, 8, 2)
return f"""<g>
<polygon points="{points}" fill="#ffffff" stroke="{self._NEUTRAL_BORDER}" stroke-width="1.25"/>
<text x="{cx:.0f}" y="{cy - 10:.0f}" text-anchor="middle" fill="{self._TEXT}" font-family="{self._FONT}" font-size="12.5" font-weight="600">{self._escape(title)}</text>
{self._text_lines(body_lines, cx, cy + 11, "middle", self._MUTED, 10.2)}
</g>"""
def _note(
self,
body: str,
x: int,
y: int,
width: int,
height: int,
) -> str:
lines = self._wrap(body, 22, 1)
return f"""<g>
<rect x="{x}" y="{y}" width="{width}" height="{height}" rx="7" ry="7" fill="#ffffff" stroke="{self._NEUTRAL_BORDER}" stroke-width="1" stroke-dasharray="4,3"/>
<text x="{x + 12}" y="{y + 22}" fill="{self._MUTED}" font-family="{self._FONT}" font-size="10" font-weight="500">BASIS</text>
{self._text_lines(lines, x + 54, y + 22, "start", self._TEXT, 10.2)}
</g>"""
def _text_lines(
self,
lines: list[str],
x: float,
y: float,
anchor: str,
color: str,
font_size: float,
) -> str:
return "\n ".join(
f'<text x="{x:.0f}" y="{y + index * (font_size + 5):.0f}" text-anchor="{anchor}" fill="{color}" font-family="{self._FONT}" font-size="{font_size}" font-weight="400">{self._escape(line)}</text>'
for index, line in enumerate(lines)
)
@staticmethod
def _wrap(value: str, width: int, max_lines: int) -> list[str]:
text = str(value or "").strip()
if not text:
return [""]
lines = [text[index : index + width] for index in range(0, len(text), width)]
if len(lines) > max_lines:
lines = lines[:max_lines]
lines[-1] = f"{lines[-1][: max(0, width - 1)]}…"
return lines
@staticmethod
def _truncate(value: str, length: int) -> str:
text = str(value or "").strip()
return text if len(text) <= length else f"{text[: length - 1]}…"
@staticmethod
def _escape(value: str) -> str:
return html.escape(str(value or ""), quote=True)
@classmethod
def _palette(cls, severity: str) -> RiskRuleFlowDiagramPalette:
return cls._PALETTES.get(str(severity or "").strip().lower(), cls._PALETTES["medium"])

751
server/src/app/services/risk_rule_generation.py Normal file
View File

@@ -0,0 +1,751 @@
from __future__ import annotations
import json
import re
from dataclasses import dataclass
from datetime import UTC, datetime
from typing import Any
from sqlalchemy.orm import Session
from app.core.agent_enums import AgentAssetDomain, AgentAssetStatus, AgentAssetType
from app.models.agent_asset import AgentAsset, AgentAssetVersion
from app.schemas.agent_asset import AgentAssetRiskRuleGenerateRequest
from app.services.agent_asset_rule_library import AgentAssetRuleLibraryManager
from app.services.agent_asset_spreadsheet import RISK_RULES_LIBRARY
from app.services.audit import AuditLogService
from app.services.risk_rule_flow_diagram import (
RiskRuleFlowDiagramField,
RiskRuleFlowDiagramRenderer,
RiskRuleFlowDiagramSpec,
)
from app.services.runtime_chat import RuntimeChatService
@dataclass(frozen=True)
class RiskRuleField:
key: str
label: str
field_type: str
source: str
aliases: tuple[str, ...]
BUSINESS_DOMAIN_LABELS: dict[str, str] = {
AgentAssetDomain.EXPENSE.value: "报销",
AgentAssetDomain.AR.value: "应收",
AgentAssetDomain.AP.value: "应付",
}
RISK_LEVEL_LABELS: dict[str, str] = {
"low": "低风险",
"medium": "中风险",
"high": "高风险",
}
FIELD_ONTOLOGY: tuple[RiskRuleField, ...] = (
RiskRuleField("claim.reason", "报销事由", "text", "claim", ("事由", "说明", "理由", "用途")),
RiskRuleField(
"claim.location",
"申报地点",
"text",
"claim",
("地点", "城市", "出差地", "申报地点", "申报目的地", "目的地"),
),
RiskRuleField("claim.amount", "申报金额", "number", "claim", ("金额", "费用", "超额", "额度")),
RiskRuleField("claim.employee_name", "报销人", "text", "claim", ("报销人", "员工", "申请人")),
RiskRuleField("claim.department_name", "部门", "text", "claim", ("部门", "组织")),
RiskRuleField("item.item_type", "费用类型", "enum", "item", ("费用类型", "科目", "类型")),
RiskRuleField("item.item_reason", "明细事由", "text", "item", ("明细事由", "明细说明")),
RiskRuleField("item.item_location", "明细地点", "text", "item", ("明细地点", "发生地点")),
RiskRuleField(
"attachment.invoice_no", "发票号码", "text", "attachment", ("发票号", "发票号码", "票号")
),
RiskRuleField(
"attachment.buyer_name", "购买方名称", "text", "attachment", ("抬头", "购买方", "开票单位")
),
RiskRuleField(
"attachment.goods_name",
"商品服务名称",
"text",
"attachment",
("品名", "商品", "服务名称", "摘要"),
),
RiskRuleField(
"attachment.issue_date",
"开票日期",
"date",
"attachment",
("开票日期", "发票日期", "票据日期"),
),
RiskRuleField(
"attachment.hotel_city",
"住宿城市",
"text",
"attachment",
("住宿城市", "酒店城市", "酒店地点", "酒店发票城市", "酒店票城市", "住宿发票城市"),
),
RiskRuleField(
"attachment.route_cities",
"行程城市",
"list",
"attachment",
("行程", "路线", "途经城市", "出差城市", "交通票行程", "交通票城市"),
),
RiskRuleField(
"attachment.ocr_text",
"票据全文",
"text",
"attachment",
("票据内容", "OCR", "全文", "关键字", "关键词"),
),
RiskRuleField(
"receivable.aging_days", "应收账龄", "number", "receivable", ("账龄", "逾期", "应收逾期")
),
RiskRuleField(
"receivable.amount_outstanding",
"应收未收金额",
"number",
"receivable",
("未收金额", "欠款", "应收余额"),
),
RiskRuleField(
"payable.vendor_name", "供应商名称", "text", "payable", ("供应商", "付款方", "往来单位")
),
RiskRuleField(
"payable.amount_outstanding", "应付未付金额", "number", "payable", ("未付金额", "应付余额")
),
)
DOMAIN_FIELD_PREFIXES: dict[str, tuple[str, ...]] = {
AgentAssetDomain.EXPENSE.value: ("claim.", "item.", "attachment."),
AgentAssetDomain.AR.value: ("receivable.",),
AgentAssetDomain.AP.value: ("payable.",),
}
class RiskRuleGenerationService:
def __init__(
self,
db: Session,
*,
rule_library_manager: AgentAssetRuleLibraryManager | None = None,
runtime_chat_service: RuntimeChatService | None = None,
) -> None:
self.db = db
self.rule_library_manager = rule_library_manager or AgentAssetRuleLibraryManager()
self.runtime_chat_service = runtime_chat_service or RuntimeChatService(db)
self.audit_service = AuditLogService(db)
self.flow_diagram_renderer = RiskRuleFlowDiagramRenderer()
def generate_rule_asset(
self,
body: AgentAssetRiskRuleGenerateRequest,
*,
actor: str,
request_id: str | None = None,
) -> str:
domain = body.business_domain.value
if domain not in BUSINESS_DOMAIN_LABELS:
raise ValueError("当前仅支持报销、应收、应付业务域的新建风险规则。")
natural_language = self._clean_text(body.natural_language)
if len(natural_language) < 8:
raise ValueError("请至少输入 8 个字的风险规则描述。")
risk_level = str(body.risk_level or "medium").strip().lower()
if risk_level not in RISK_LEVEL_LABELS:
raise ValueError("风险等级仅支持 low、medium、high。")
created_at = datetime.now(UTC)
fields = self._resolve_fields(natural_language, domain=domain)
draft = self._compile_with_model(
natural_language=natural_language,
domain=domain,
risk_level=risk_level,
fields=fields,
) or self._build_fallback_draft(
natural_language=natural_language,
domain=domain,
risk_level=risk_level,
fields=fields,
)
draft = self._align_draft_fields(
draft,
natural_language=natural_language,
fields=fields,
)
payload = self._build_rule_payload(
draft,
natural_language=natural_language,
domain=domain,
risk_level=risk_level,
fields=fields,
created_at=created_at,
actor=actor,
)
rule_code = str(payload["rule_code"])
file_name = f"{rule_code}.json"
self.rule_library_manager.write_rule_library_json(
library=RISK_RULES_LIBRARY,
file_name=file_name,
payload=payload,
)
asset = AgentAsset(
asset_type=AgentAssetType.RULE.value,
code=rule_code,
name=str(payload["name"]),
description=str(payload["description"]),
domain=domain,
scenario_json=[str(payload.get("risk_category") or BUSINESS_DOMAIN_LABELS[domain])],
owner=actor,
reviewer=None,
status=AgentAssetStatus.DRAFT.value,
current_version="v0.1.0",
published_version=None,
working_version="v0.1.0",
config_json={
"severity": risk_level,
"enabled": True,
"tag": "风险规则",
"detail_mode": "json_risk",
"risk_category": payload.get("risk_category"),
"rule_library": RISK_RULES_LIBRARY,
"rule_document": {
"file_name": file_name,
"storage_key": f"rules/{RISK_RULES_LIBRARY}/{file_name}",
},
"ontology_signal": payload.get("ontology_signal"),
"evaluator": payload.get("evaluator"),
"generated_by": "natural_language",
"source_ref": "自然语言风险规则",
},
)
self.db.add(asset)
self.db.flush()
self.db.add(
AgentAssetVersion(
asset_id=asset.id,
version="v0.1.0",
content=self._build_version_markdown(payload),
content_type="markdown",
change_note="通过自然语言新建风险规则草稿。",
created_by=actor,
)
)
self.audit_service.log_action(
actor=actor,
action="generate_agent_asset_risk_rule",
resource_type=AgentAssetType.RULE.value,
resource_id=asset.id,
before_json=None,
after_json={"rule_code": rule_code, "risk_level": risk_level, "domain": domain},
request_id=request_id,
)
self.db.refresh(asset)
return asset.id
def _compile_with_model(
self,
*,
natural_language: str,
domain: str,
risk_level: str,
fields: list[RiskRuleField],
) -> dict[str, Any] | None:
field_payload = [
{
"key": item.key,
"label": item.label,
"type": item.field_type,
"source": item.source,
}
for item in fields
]
messages = [
{
"role": "system",
"content": (
"你是 X-Financial 风险规则编译器。只能输出 JSON 对象，不要解释。"
"必须从给定字段本体中选择字段，不允许编造字段。"
"template_key 只能是 field_required_v1、field_compare_v1、keyword_match_v1。"
),
},
{
"role": "user",
"content": json.dumps(
{
"business_domain": domain,
"business_domain_label": BUSINESS_DOMAIN_LABELS[domain],
"risk_level": risk_level,
"risk_level_label": RISK_LEVEL_LABELS[risk_level],
"natural_language": natural_language,
"available_fields": field_payload,
"required_json_shape": {
"name": "规则名称",
"description": "面向业务用户的说明",
"template_key": "field_required_v1",
"field_keys": ["claim.reason"],
"condition_summary": "判断依据",
"keywords": [],
"flow": {
"start": "提交业务单据",
"evidence": "读取字段",
"decision": "判断依据",
"pass": "继续流转",
"fail": "提示风险",
},
},
},
ensure_ascii=False,
),
},
]
answer = self.runtime_chat_service.complete(
messages,
max_tokens=700,
temperature=0.1,
timeout_seconds=12,
max_attempts=1,
)
if not answer:
return None
try:
payload = json.loads(self._extract_json_object(answer))
except (json.JSONDecodeError, ValueError):
return None
if not isinstance(payload, dict):
return None
return self._sanitize_model_draft(payload, fields=fields)
def _sanitize_model_draft(
self,
payload: dict[str, Any],
*,
fields: list[RiskRuleField],
) -> dict[str, Any]:
allowed_fields = {item.key for item in fields}
template_key = str(payload.get("template_key") or "").strip()
if template_key not in {"field_required_v1", "field_compare_v1", "keyword_match_v1"}:
template_key = "field_required_v1"
raw_field_keys = payload.get("field_keys")
field_keys = [
str(item or "").strip()
for item in (raw_field_keys if isinstance(raw_field_keys, list) else [])
if str(item or "").strip() in allowed_fields
]
if not field_keys and fields:
field_keys = [fields[0].key]
keywords = [
str(item or "").strip()
for item in (
payload.get("keywords") if isinstance(payload.get("keywords"), list) else []
)
if str(item or "").strip()
]
flow = payload.get("flow") if isinstance(payload.get("flow"), dict) else {}
return {
"name": self._clean_text(payload.get("name"))[:80],
"description": self._clean_text(payload.get("description")),
"template_key": template_key,
"field_keys": field_keys,
"condition_summary": self._clean_text(payload.get("condition_summary")),
"keywords": keywords[:12],
"flow": {
"start": self._clean_text(flow.get("start")) or "提交业务单据",
"evidence": self._clean_text(flow.get("evidence")) or "读取规则字段",
"decision": self._clean_text(flow.get("decision")) or "判断是否命中风险",
"pass": self._clean_text(flow.get("pass")) or "继续流转",
"fail": self._clean_text(flow.get("fail")) or "提示风险并进入复核",
},
}
def _build_fallback_draft(
self,
*,
natural_language: str,
domain: str,
risk_level: str,
fields: list[RiskRuleField],
) -> dict[str, Any]:
field_keys = [item.key for item in fields[:4]]
template_key = self._infer_template_key(natural_language)
condition_summary = self._build_condition_summary(
natural_language,
template_key=template_key,
fields=fields,
)
name = self._infer_rule_name(natural_language)
description = (
f"当{BUSINESS_DOMAIN_LABELS[domain]}业务满足“{natural_language}”时，系统会按"
f"{RISK_LEVEL_LABELS[risk_level]}进行提示，并要求经办人或审核人补充核对依据。"
)
return {
"name": name,
"description": description,
"template_key": template_key,
"field_keys": field_keys,
"condition_summary": condition_summary,
"keywords": self._infer_keywords(natural_language),
"flow": {
"start": f"{BUSINESS_DOMAIN_LABELS[domain]}单据提交",
"evidence": "读取" + "、".join(item.label for item in fields[:3]),
"decision": condition_summary,
"pass": "未命中风险，继续业务流转",
"fail": f"命中{RISK_LEVEL_LABELS[risk_level]}，提示复核",
},
}
def _build_rule_payload(
self,
draft: dict[str, Any],
*,
natural_language: str,
domain: str,
risk_level: str,
fields: list[RiskRuleField],
created_at: datetime,
actor: str,
) -> dict[str, Any]:
created_stamp = created_at.strftime("%Y%m%d%H%M%S")
domain_slug = {"expense": "expense", "ar": "ar", "ap": "ap"}[domain]
rule_code = f"risk.{domain_slug}.generated_{created_stamp}"
template_key = str(draft.get("template_key") or "field_required_v1").strip()
field_keys = [
str(item or "").strip()
for item in list(draft.get("field_keys") or [])
if str(item or "").strip()
]
condition_summary = (
self._clean_text(draft.get("condition_summary")) or "判断是否符合自然语言规则描述"
)
risk_category = BUSINESS_DOMAIN_LABELS[domain]
keywords = list(draft.get("keywords") or [])
field_by_key = {item.key: item for item in fields}
params: dict[str, Any] = {
"template_key": template_key,
"field_keys": field_keys,
"condition_summary": condition_summary,
"natural_language": natural_language,
}
if template_key == "field_required_v1":
params["required_fields"] = field_keys
if template_key == "field_compare_v1":
params["conditions"] = self._build_compare_conditions(field_keys)
if template_key == "keyword_match_v1":
params["keywords"] = keywords
params["search_fields"] = field_keys
payload = {
"schema_version": "2.0",
"rule_code": rule_code,
"name": self._clean_text(draft.get("name")) or self._infer_rule_name(natural_language),
"description": self._clean_text(draft.get("description")) or natural_language,
"enabled": True,
"risk_dimension": "natural_language_rule",
"risk_category": risk_category,
"ontology_signal": "natural_language_risk",
"evaluator": "template_rule",
"template_key": template_key,
"applies_to": {"domains": [domain]},
"inputs": {
"fields": [
{
"key": item.key,
"label": item.label,
"type": item.field_type,
"source": item.source,
}
for item in [field_by_key[key] for key in field_keys if key in field_by_key]
],
},
"params": params,
"outcomes": {
"pass": {"severity": "none", "action": "continue"},
"fail": {
"severity": risk_level,
"action": "manual_review",
},
},
"metadata": {
"owner": actor,
"stability": "generated_draft",
"source_ref": "自然语言风险规则",
"created_at": created_at.isoformat(),
"created_by": actor,
"natural_language": natural_language,
"business_explanation": self._clean_text(draft.get("description")),
"condition_summary": condition_summary,
"flow": draft.get("flow") if isinstance(draft.get("flow"), dict) else {},
},
}
payload["flow_diagram_svg"] = self._build_flow_diagram_svg(
payload,
fields=[field_by_key[key] for key in field_keys if key in field_by_key],
domain=domain,
risk_level=risk_level,
)
return payload
def _build_flow_diagram_svg(
self,
payload: dict[str, Any],
*,
fields: list[RiskRuleField],
domain: str,
risk_level: str,
) -> str:
metadata = payload.get("metadata") if isinstance(payload.get("metadata"), dict) else {}
flow = metadata.get("flow") if isinstance(metadata.get("flow"), dict) else {}
condition_summary = self._clean_text(metadata.get("condition_summary"))
return self.flow_diagram_renderer.render(
RiskRuleFlowDiagramSpec(
title=self._clean_text(payload.get("name")) or "风险规则判断流程",
domain_label=BUSINESS_DOMAIN_LABELS.get(domain, "业务"),
severity=risk_level,
severity_label=RISK_LEVEL_LABELS.get(risk_level, "中风险"),
fields=tuple(
RiskRuleFlowDiagramField(key=field.key, label=field.label) for field in fields
),
start=self._clean_text(flow.get("start")) or "业务单据提交",
evidence=self._clean_text(flow.get("evidence")) or "读取规则字段",
decision=self._clean_text(flow.get("decision"))
or condition_summary
or "判断是否命中风险",
basis=(
condition_summary
or self._clean_text(flow.get("decision"))
or "根据规则字段判断"
),
pass_text=self._clean_text(flow.get("pass")) or "未命中风险，继续流转",
fail_text=self._clean_text(flow.get("fail"))
or f"命中{RISK_LEVEL_LABELS.get(risk_level, '风险')}，进入人工复核",
)
)
def _resolve_fields(self, text: str, *, domain: str) -> list[RiskRuleField]:
prefixes = DOMAIN_FIELD_PREFIXES.get(domain, ())
candidates = [field for field in FIELD_ONTOLOGY if field.key.startswith(prefixes)]
normalized = text.lower()
matched: list[tuple[int, RiskRuleField]] = []
for field in candidates:
score = self._score_field_match(field, text, normalized)
if score > 0:
matched.append((score, field))
if domain == AgentAssetDomain.EXPENSE.value:
if any(keyword in text for keyword in ("住宿", "酒店", "行程", "城市", "出差")):
matched.extend(
(10, field)
for field in candidates
if field.key
in {"claim.location", "attachment.hotel_city", "attachment.route_cities"}
)
if any(keyword in text for keyword in ("发票", "票据", "品名", "抬头", "开票")):
matched.extend(
(6, field)
for field in candidates
if field.key
in {
"attachment.invoice_no",
"attachment.buyer_name",
"attachment.goods_name",
"attachment.ocr_text",
}
)
matched.sort(key=lambda item: item[0], reverse=True)
deduped: list[RiskRuleField] = []
seen: set[str] = set()
for _, field in matched:
if field.key in seen:
continue
seen.add(field.key)
deduped.append(field)
if deduped:
return deduped[:8]
return candidates[:4]
@staticmethod
def _score_field_match(field: RiskRuleField, text: str, normalized: str) -> int:
score = 0
if field.label in text:
score += 8
for alias in field.aliases:
if alias.lower() in normalized:
score += 4 + min(len(alias), 6)
if field.key == "attachment.hotel_city" and any(term in text for term in ("酒店", "住宿")):
score += 12
if field.key == "attachment.route_cities" and any(
term in text for term in ("行程", "交通票", "路线", "途经")
):
score += 10
if field.key == "claim.location" and any(
term in text for term in ("申报目的地", "申报地点", "目的地", "出差地")
):
score += 10
if field.key.startswith("attachment.") and any(term in text for term in ("发票", "票据")):
score += 2
return score
def _align_draft_fields(
self,
draft: dict[str, Any],
*,
natural_language: str,
fields: list[RiskRuleField],
) -> dict[str, Any]:
field_by_key = {field.key: field for field in fields}
original_keys = [
str(item or "").strip()
for item in list(draft.get("field_keys") or [])
if str(item or "").strip() in field_by_key
]
preferred_keys: list[str] = []
def add_preferred(key: str, *terms: str) -> None:
if key in field_by_key and any(term in natural_language for term in terms):
preferred_keys.append(key)
add_preferred("attachment.hotel_city", "酒店", "住宿")
add_preferred("claim.location", "申报目的地", "申报地点", "目的地", "出差地")
add_preferred("attachment.route_cities", "行程", "交通票", "路线", "途经")
merged_keys: list[str] = []
for key in [*preferred_keys, *original_keys, *[field.key for field in fields]]:
if key in field_by_key and key not in merged_keys:
merged_keys.append(key)
if len(merged_keys) >= 4:
break
if draft.get("template_key") == "field_compare_v1" and len(merged_keys) < 2:
for field in fields:
if field.key not in merged_keys:
merged_keys.append(field.key)
if len(merged_keys) >= 2:
break
aligned = {**draft, "field_keys": merged_keys}
selected_fields = [field_by_key[key] for key in merged_keys if key in field_by_key]
if selected_fields:
aligned["condition_summary"] = self._build_condition_summary(
natural_language,
template_key=str(aligned.get("template_key") or "field_required_v1"),
fields=selected_fields,
)
flow = aligned.get("flow") if isinstance(aligned.get("flow"), dict) else {}
aligned["flow"] = {
**flow,
"evidence": "读取" + "、".join(field.label for field in selected_fields[:3]),
"decision": aligned["condition_summary"],
}
return aligned
@staticmethod
def _build_compare_conditions(field_keys: list[str]) -> list[dict[str, str]]:
if len(field_keys) >= 2:
return [{"left": field_keys[0], "operator": "overlap", "right": field_keys[1]}]
if field_keys:
return [{"left": field_keys[0], "operator": "is_empty", "right": ""}]
return []
@staticmethod
def _infer_template_key(text: str) -> str:
if any(
keyword in text
for keyword in ("一致", "匹配", "相同", "不一致", "不符", "对应", "出现在")
):
return "field_compare_v1"
if any(
keyword in text
for keyword in ("关键词", "包含", "出现", "品名", "摘要", "服务费", "咨询费")
):
return "keyword_match_v1"
return "field_required_v1"
@staticmethod
def _infer_keywords(text: str) -> list[str]:
quoted = re.findall(r"[“\"']([^“”\"']{2,20})[”\"']", text)
keywords = [item.strip() for item in quoted if item.strip()]
for candidate in ("咨询费", "服务费", "其他", "办公用品", "招待", "红冲", "作废"):
if candidate in text and candidate not in keywords:
keywords.append(candidate)
return keywords[:8]
@staticmethod
def _infer_rule_name(text: str) -> str:
normalized = re.sub(r"\s+", "", str(text or ""))
normalized = re.sub(r"[，。；;：:、,.!?！？]", "", normalized)
if not normalized:
return "自然语言风险规则"
return f"{normalized[:18]}风险规则"
@staticmethod
def _build_condition_summary(
natural_language: str,
*,
template_key: str,
fields: list[RiskRuleField],
) -> str:
field_text = "、".join(item.label for item in fields[:3]) or "业务字段"
if template_key == "field_compare_v1":
return f"对比{field_text}之间是否一致或存在交集"
if template_key == "keyword_match_v1":
return f"检查{field_text}是否出现规则描述中的风险关键词"
return f"检查{field_text}是否满足必填和完整性要求"
@staticmethod
def _clean_text(value: Any) -> str:
return re.sub(r"\s+", " ", str(value or "")).strip()
@staticmethod
def _extract_json_object(text: str) -> str:
normalized = re.sub(r"^```(?:json)?|```$", "", str(text or "").strip(), flags=re.IGNORECASE)
start = normalized.find("{")
end = normalized.rfind("}")
if start < 0 or end <= start:
raise ValueError("JSON object not found.")
return normalized[start : end + 1]
@staticmethod
def _build_version_markdown(payload: dict[str, Any]) -> str:
metadata = payload.get("metadata") if isinstance(payload.get("metadata"), dict) else {}
fields = (
payload.get("inputs", {}).get("fields")
if isinstance(payload.get("inputs"), dict)
else []
)
field_labels = [
str(item.get("label") or item.get("key") or "").strip()
for item in fields
if isinstance(item, dict) and str(item.get("label") or item.get("key") or "").strip()
]
return "\n".join(
[
f"# {payload.get('name')}",
"",
"## 业务说明",
"",
str(payload.get("description") or ""),
"",
"## 自然语言原文",
"",
str(metadata.get("natural_language") or ""),
"",
"## 使用字段",
"",
"、".join(field_labels) or "未识别字段",
"",
"## 运行时 JSON",
"",
"```json",
json.dumps(payload, ensure_ascii=False, indent=2),
"```",
]
)

259
server/src/app/services/risk_rule_template_executor.py Normal file
View File

@@ -0,0 +1,259 @@
from __future__ import annotations
import re
from typing import Any
from app.models.financial_record import ExpenseClaim
class RiskRuleTemplateExecutor:
def evaluate(
self,
manifest: dict[str, Any],
*,
claim: ExpenseClaim,
contexts: list[dict[str, Any]],
) -> dict[str, Any] | None:
params = manifest.get("params") if isinstance(manifest.get("params"), dict) else {}
template_key = str(manifest.get("template_key") or params.get("template_key") or "").strip()
if template_key == "field_required_v1":
return self._evaluate_required_fields(params, claim=claim, contexts=contexts)
if template_key == "field_compare_v1":
return self._evaluate_compare_conditions(params, claim=claim, contexts=contexts)
if template_key == "keyword_match_v1":
return self._evaluate_keyword_match(params, claim=claim, contexts=contexts)
return None
def _evaluate_required_fields(
self,
params: dict[str, Any],
*,
claim: ExpenseClaim,
contexts: list[dict[str, Any]],
) -> dict[str, Any] | None:
required_fields = self._read_string_list(
params.get("required_fields") or params.get("field_keys")
)
missing = [
field_key
for field_key in required_fields
if not self._has_resolved_value(field_key, claim=claim, contexts=contexts)
]
if not missing:
return None
return {
"message": self._resolve_message(
params,
fallback=f"规则要求的字段未完整提供：{'、'.join(missing[:4])}。",
),
"evidence": {
"missing_fields": missing,
"condition_summary": params.get("condition_summary"),
},
}
def _evaluate_compare_conditions(
self,
params: dict[str, Any],
*,
claim: ExpenseClaim,
contexts: list[dict[str, Any]],
) -> dict[str, Any] | None:
conditions = params.get("conditions") if isinstance(params.get("conditions"), list) else []
failures: list[dict[str, Any]] = []
for condition in conditions:
if not isinstance(condition, dict):
continue
left_key = str(condition.get("left") or "").strip()
right_key = str(condition.get("right") or "").strip()
operator = str(condition.get("operator") or "not_overlap").strip()
left_values = self._resolve_values(left_key, claim=claim, contexts=contexts)
right_values = self._resolve_values(right_key, claim=claim, contexts=contexts)
if self._condition_passes(operator, left_values, right_values):
continue
failures.append(
{
"left": left_key,
"operator": operator,
"right": right_key,
"left_values": left_values[:5],
"right_values": right_values[:5],
}
)
if not failures:
return None
return {
"message": self._resolve_message(
params,
fallback=(
"规则字段对比未通过："
f"{params.get('condition_summary') or '字段关系不符合要求'}。"
),
),
"evidence": {
"failed_conditions": failures[:5],
"condition_summary": params.get("condition_summary"),
},
}
def _evaluate_keyword_match(
self,
params: dict[str, Any],
*,
claim: ExpenseClaim,
contexts: list[dict[str, Any]],
) -> dict[str, Any] | None:
keywords = self._read_string_list(params.get("keywords"))
search_fields = self._read_string_list(
params.get("search_fields") or params.get("field_keys")
)
if not keywords:
return None
corpus_parts: list[str] = []
for field_key in search_fields:
corpus_parts.extend(self._resolve_values(field_key, claim=claim, contexts=contexts))
if not corpus_parts:
corpus_parts.extend(
[
str(claim.reason or ""),
str(claim.location or ""),
*[str(item.item_reason or "") for item in list(claim.items or [])],
*[str(context.get("ocr_text") or "") for context in contexts],
]
)
corpus = "\n".join(corpus_parts)
hits = [keyword for keyword in keywords if keyword and keyword in corpus]
if not hits:
return None
return {
"message": self._resolve_message(
params,
fallback=f"识别到风险关键词：{'、'.join(hits[:5])}。",
),
"evidence": {
"keyword_hits": hits[:8],
"search_fields": search_fields,
"condition_summary": params.get("condition_summary"),
},
}
def _resolve_values(
self,
field_key: str,
*,
claim: ExpenseClaim,
contexts: list[dict[str, Any]],
) -> list[str]:
normalized = str(field_key or "").strip()
if not normalized:
return []
if normalized.startswith("claim."):
return self._normalize_values([getattr(claim, normalized.removeprefix("claim."), "")])
if normalized.startswith("item."):
attr = normalized.removeprefix("item.")
return self._normalize_values(
[getattr(item, attr, "") for item in list(claim.items or [])]
)
if normalized.startswith("attachment."):
return self._resolve_attachment_values(normalized.removeprefix("attachment."), contexts)
return []
def _resolve_attachment_values(
self, field_key: str, contexts: list[dict[str, Any]]
) -> list[str]:
values: list[Any] = []
for context in contexts:
document_info = context.get("document_info") if isinstance(context, dict) else {}
if not isinstance(document_info, dict):
document_info = {}
if field_key == "ocr_text":
values.extend([context.get("ocr_text"), context.get("ocr_summary")])
if field_key in {"hotel_city", "route_cities"}:
values.extend(self._scan_document_values(document_info, field_key))
values.extend(self._scan_document_values(document_info, "city"))
else:
values.extend(self._scan_document_values(document_info, field_key))
return self._normalize_values(values)
def _scan_document_values(self, document_info: dict[str, Any], field_key: str) -> list[Any]:
values: list[Any] = []
for key in {field_key, field_key.replace("_", ""), field_key.replace("_", "-")}:
if key in document_info:
values.append(document_info.get(key))
for field in list(document_info.get("fields") or []):
if not isinstance(field, dict):
continue
key = str(field.get("key") or "").strip().lower()
label = str(field.get("label") or "").strip()
if self._field_matches(key, label, field_key):
values.append(field.get("value"))
return values
@staticmethod
def _field_matches(key: str, label: str, field_key: str) -> bool:
compact_key = key.replace("_", "")
compact_target = field_key.replace("_", "")
if compact_target in compact_key:
return True
label_map = {
"invoice_no": ("发票号", "发票号码", "票号"),
"buyer_name": ("购买方", "抬头", "买方"),
"goods_name": ("品名", "商品", "服务名称"),
"issue_date": ("日期", "开票日期", "发票日期"),
"hotel_city": ("住宿城市", "酒店城市", "酒店地点"),
"route_cities": ("行程", "路线", "城市"),
"city": ("城市", "地点"),
}
return any(item in label for item in label_map.get(field_key, ()))
def _has_resolved_value(
self,
field_key: str,
*,
claim: ExpenseClaim,
contexts: list[dict[str, Any]],
) -> bool:
return bool(self._resolve_values(field_key, claim=claim, contexts=contexts))
@staticmethod
def _condition_passes(operator: str, left_values: list[str], right_values: list[str]) -> bool:
if operator == "is_empty":
return not left_values
if not left_values or not right_values:
return False
left_set = {value.lower() for value in left_values}
right_set = {value.lower() for value in right_values}
if operator in {"equals", "in", "overlap"}:
return bool(left_set & right_set)
if operator in {"not_equals", "not_in", "not_overlap"}:
return not bool(left_set & right_set)
if operator == "contains_any":
return any(any(right in left for right in right_set) for left in left_set)
return bool(left_set & right_set)
@staticmethod
def _normalize_values(values: list[Any]) -> list[str]:
normalized: list[str] = []
for value in values:
if isinstance(value, (list, tuple, set)):
normalized.extend(RiskRuleTemplateExecutor._normalize_values(list(value)))
continue
text = re.sub(r"\s+", " ", str(value or "")).strip()
if text and text not in normalized:
normalized.append(text)
return normalized
@staticmethod
def _read_string_list(value: Any) -> list[str]:
if not isinstance(value, list):
return []
return [str(item or "").strip() for item in value if str(item or "").strip()]
@staticmethod
def _resolve_message(params: dict[str, Any], *, fallback: str) -> str:
template = str(params.get("message_template") or "").strip()
return template or fallback

400
server/storage/knowledge/.index.json
View File

@@ -14,8 +14,8 @@
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@@ -77,9 +77,9 @@
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@@ -119,13 +119,13 @@
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@@ -140,13 +140,13 @@
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@@ -161,13 +161,13 @@
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@@ -182,13 +182,13 @@
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@@ -203,13 +203,13 @@
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@@ -245,13 +245,13 @@
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@@ -266,13 +266,13 @@
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@@ -308,13 +308,13 @@
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@@ -350,13 +350,13 @@
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@@ -371,13 +371,13 @@
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"content_summary": "远光软件股份有限公司新员工财务培训课件\n\n 远光软件股份有限公司\n\n 2024年度\n\n培训大纲\n\n一、公司财务管理概况\n\n二、费用报销制度详解\n\n三、发票管理要求\n\n四、差旅费标准说明\n\n五、预算管理基本知识\n\n六、常见问题解答\n\n一、公司财务管理概况\n\n远光软件股份有限公司财务部是公司财务管理的职能部门，主要职责包括...",
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"content_summary": "# Excel 工作簿：远光软件财务培训课程安排.xlsx\n\n## 工作表 1：培训课程安排\n\n| 远光软件股份有限公司2024年度财务培训课程安排 | 列2 | 列3 | 列4 | 列5 | 列6 | 列7 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 序号 | 课程名称 | 培训对象 | 培训时间 | 课时 | 讲师 | 备注 |\n| 1 | 财务制度总则培训 | 全体新员工 | 每月第一个周五 | 2小时 | 财务部经理 | 入职必修 |\n...",
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"content_summary": "# Excel 工作簿：远光软件报销问题处理指引.xlsx\n\n## 工作表 1：问题处理指引\n\n| 远光软件报销问题处理指引 | 列2 | 列3 | 列4 | 列5 |\n| --- | --- | --- | --- | --- |\n| 问题类型 | 问题描述 | 处理方式 | 责任人 | 备注 |\n| 发票问题 | 发票抬头错误 | 退回开票方重新开具 | 经办人 | 不得自行修改 |\n| 发票问题 | 发票金额与实际不符 | 退回开票方重新开具 | 经办人 | 需重新取得 |\n| 发票问题 ...",
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"updated_at": "2026-05-22T16:35:27.056080+00:00",
"file_path": "/app/server/storage/knowledge/常见问答/远光软件财务报销常见问题解答.docx",
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"metadata": {
"processing_start_time": 1779467725,
"processing_end_time": 1779467727
}
}
}

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server/tests/test_knowledge_rag_service.py
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@@ -8,8 +8,10 @@ from app.services.knowledge_ingest_log import (
build_document_graph_summary,
build_ingest_document_summary,
build_ingest_status_summary,
enrich_knowledge_ingest_route_json,
)
from app.services.knowledge_rag import KnowledgeRagService
from app.services.knowledge_rag_local import query_local_text_chunks
def test_build_hits_prioritizes_structured_table_evidence_for_standard_queries() -> None:
@@ -82,6 +84,84 @@ 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_query_local_text_chunks_prioritizes_relevant_policy_chunk(tmp_path) -> None:
workspace = tmp_path / "knowledge" / ".lightrag" / "x_financial_knowledge"
workspace.mkdir(parents=True)
(workspace / "kv_store_text_chunks.json").write_text(
json.dumps(
{
"chunk-travel": {
"_id": "chunk-travel",
"full_doc_id": "doc-1",
"chunk_order_index": 1,
"file_path": "/tmp/doc-1__差旅费管理办法.pdf",
"content": (
"第十三条 差旅费。酒店住宿限额标准如下：其他员工直辖市350元、"
"省会城市300元、其他地区250元。确因紧急公务、特别情形等事项"
"导致住宿超过规定标准时，超标20%以内由部门负责人审批，"
"超标20%以上需分管领导审批。"
),
},
"chunk-office": {
"_id": "chunk-office",
"full_doc_id": "doc-2",
"chunk_order_index": 1,
"file_path": "/tmp/doc-2__办公用品管理办法.pdf",
"content": "办公用品采购应遵循预算和验收流程。",
},
}
),
encoding="utf-8",
)
result = query_local_text_chunks(
lightrag_root=tmp_path / "knowledge" / ".lightrag",
workspace="x_financial_knowledge",
query="住宿费超过标准审批依据是什么？",
limit=2,
)
assert result.confident is True
assert result.hits[0]["candidate_id"] == "chunk-travel"
assert "住宿超过规定标准" in result.hits[0]["content"]
def test_query_knowledge_uses_local_chunks_before_lightrag_runtime(tmp_path, monkeypatch) -> None:
workspace = tmp_path / "knowledge" / ".lightrag" / "x_financial_knowledge"
workspace.mkdir(parents=True)
(workspace / "kv_store_text_chunks.json").write_text(
json.dumps(
{
"chunk-1": {
"_id": "chunk-1",
"full_doc_id": "doc-1",
"chunk_order_index": 1,
"file_path": "/tmp/doc-1__公司支出管理办法.pdf",
"content": (
"第八条 支出报销申请时限。公司各类支出报销结算申请时限为三个月。"
"逾期需说明原因，经分管领导审批后方可报销。"
),
}
}
),
encoding="utf-8",
)
def fail_if_runtime_is_used(_self):
raise AssertionError("local high-confidence queries should not initialize LightRAG")
monkeypatch.setattr(KnowledgeRagService, "_get_runtime", fail_if_runtime_is_used)
payload = KnowledgeRagService(storage_root=tmp_path).query_knowledge(
"费用发生后多久内必须报销？超过三个月还能不能报？",
limit=3,
)
assert payload["record_count"] == 1
assert payload["metadata"]["retrieval_strategy"] == "local_text_chunks"
assert "三个月" in payload["hits"][0]["content"]
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？",
@@ -227,6 +307,46 @@ def test_build_document_graph_summary_reads_lightrag_storage(tmp_path) -> None:
),
encoding="utf-8",
)
(workspace / "kv_store_entity_chunks.json").write_text(
json.dumps(
{
"远光软件": {"chunk_ids": ["chunk-1", "chunk-missing"]},
"支出管理": {"chunk_ids": ["chunk-2"]},
}
),
encoding="utf-8",
)
(workspace / "graph_chunk_entity_relation.graphml").write_text(
"""<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns">
<key id="n0" for="node" attr.name="entity_id" attr.type="string" />
<key id="n1" for="node" attr.name="entity_type" attr.type="string" />
<key id="n2" for="node" attr.name="description" attr.type="string" />
<key id="n3" for="node" attr.name="created_at" attr.type="string" />
<key id="e0" for="edge" attr.name="weight" attr.type="double" />
<key id="e1" for="edge" attr.name="description" attr.type="string" />
<key id="e2" for="edge" attr.name="keywords" attr.type="string" />
<graph edgedefault="undirected">
<node id="远光软件">
<data key="n0">远光软件</data>
<data key="n1">ORGANIZATION</data>
<data key="n2">公司主体&lt;SEP&gt;费用制度适用公司</data>
<data key="n3">2026-05-23</data>
</node>
<node id="支出管理">
<data key="n0">支出管理</data>
<data key="n1">TOPIC</data>
<data key="n2">规范费用支出、预算和审批。</data>
</node>
<edge source="远光软件" target="支出管理">
<data key="e0">2.5</data>
<data key="e1">远光软件通过支出管理制度约束费用审批。</data>
<data key="e2">制度&lt;SEP&gt;审批</data>
</edge>
</graph>
</graphml>""",
encoding="utf-8",
)
summary = build_document_graph_summary(
tmp_path,
@@ -235,10 +355,39 @@ def test_build_document_graph_summary_reads_lightrag_storage(tmp_path) -> None:
)
assert summary["entity_count"] == 2
assert summary["entities"] == ["远光软件", "支出管理"]
assert [item["name"] for item in summary["entities"]] == ["远光软件", "支出管理"]
assert summary["entities"][0]["type"] == "ORGANIZATION"
assert summary["entities"][0]["descriptions"][0] == "公司主体"
assert summary["relation_count"] == 1
assert summary["relations"] == [{"source": "远光软件", "target": "支出管理", "type": "关联"}]
assert summary["relations"][0]["source"] == "远光软件"
assert summary["relations"][0]["target"] == "支出管理"
assert summary["relations"][0]["description"] == "远光软件通过支出管理制度约束费用审批。"
assert summary["relations"][0]["keywords"] == ["制度", "审批"]
assert summary["relations"][0]["weight"] == 2.5
assert [item["id"] for item in summary["chunks"]] == ["chunk-1", "chunk-2"]
assert summary["chunks"][0]["excerpt"].startswith("第一条")
assert summary["entity_chunks"] == [
{"entity": "远光软件", "chunk_ids": ["chunk-1"]},
{"entity": "支出管理", "chunk_ids": ["chunk-2"]},
]
enriched_route = enrich_knowledge_ingest_route_json(
{
"lightrag_workspace": "test_workspace",
"knowledge_ingest": {
"graph": {
"entities": ["远光软件"],
"relations": [
{"source": "远光软件", "target": "支出管理", "type": "关联"}
],
}
},
},
storage_root=tmp_path,
)
enriched_entities = enriched_route["knowledge_ingest"]["graph"]["entities"]
assert [item["name"] for item in enriched_entities] == ["远光软件", "支出管理"]
assert enriched_entities[1]["type"] == "TOPIC"
def test_build_ingest_document_summary_extracts_sections() -> None:

106
server/tests/test_risk_rule_generation.py Normal file
View File

@@ -0,0 +1,106 @@
from __future__ import annotations
import json
from sqlalchemy import create_engine
from sqlalchemy.orm import Session, sessionmaker
from sqlalchemy.pool import StaticPool
from app.core.agent_enums import AgentAssetDomain, AgentAssetStatus
from app.db.base import Base
from app.models.agent_asset import AgentAsset
from app.schemas.agent_asset import AgentAssetRiskRuleGenerateRequest
from app.services.agent_asset_rule_library import AgentAssetRuleLibraryManager
from app.services.agent_asset_spreadsheet import RISK_RULES_LIBRARY
from app.services.risk_rule_flow_diagram import RiskRuleFlowDiagramRenderer, RiskRuleFlowDiagramSpec
from app.services.risk_rule_generation import RiskRuleGenerationService
class NullRuntimeChatService:
def complete(self, *args, **kwargs) -> None:
return None
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_generate_risk_rule_asset_creates_draft_json_rule(tmp_path) -> None:
with build_session() as db:
service = RiskRuleGenerationService(
db,
rule_library_manager=AgentAssetRuleLibraryManager(rule_root=tmp_path / "rules"),
runtime_chat_service=NullRuntimeChatService(),
)
asset_id = service.generate_rule_asset(
AgentAssetRiskRuleGenerateRequest(
business_domain=AgentAssetDomain.EXPENSE,
risk_level="high",
natural_language="住宿城市必须出现在本次差旅行程城市中，否则提示高风险。",
),
actor="pytest",
)
asset = db.get(AgentAsset, asset_id)
assert asset is not None
assert asset.status == AgentAssetStatus.DRAFT.value
assert asset.config_json["detail_mode"] == "json_risk"
assert asset.config_json["evaluator"] == "template_rule"
assert asset.current_version == "v0.1.0"
file_name = asset.config_json["rule_document"]["file_name"]
rule_path = tmp_path / "rules" / RISK_RULES_LIBRARY / file_name
payload = json.loads(rule_path.read_text(encoding="utf-8"))
assert payload["rule_code"] == asset.code
assert payload["outcomes"]["fail"]["severity"] == "high"
assert payload["template_key"] == "field_compare_v1"
assert payload["metadata"]["natural_language"].startswith("住宿城市")
assert payload["inputs"]["fields"]
assert payload["flow_diagram_svg"].startswith("<svg")
assert 'width="760" height="280"' in payload["flow_diagram_svg"]
assert 'data-risk-flow-style="review-node-only"' in payload["flow_diagram_svg"]
assert "RULE FLOW" in payload["flow_diagram_svg"]
assert "进入复核" in payload["flow_diagram_svg"]
assert "否" in payload["flow_diagram_svg"]
assert "是" in payload["flow_diagram_svg"]
assert "#dc2626" in payload["flow_diagram_svg"]
assert "#fecaca" in payload["flow_diagram_svg"]
assert "#10a37f" not in payload["flow_diagram_svg"]
assert "#f97316" not in payload["flow_diagram_svg"]
assert "feDropShadow" not in payload["flow_diagram_svg"]
def test_risk_rule_flow_diagram_uses_risk_level_palette() -> None:
renderer = RiskRuleFlowDiagramRenderer()
def render(severity: str, label: str) -> str:
return renderer.render(
RiskRuleFlowDiagramSpec(
title="测试规则",
domain_label="报销",
severity=severity,
severity_label=label,
fields=(),
start="业务单据提交",
evidence="读取规则字段",
decision="判断是否命中风险",
basis="根据规则字段判断",
pass_text="未命中风险，继续流转",
fail_text=f"命中{label}，进入复核",
)
)
assert "#2563eb" in render("low", "低风险")
assert "#f97316" in render("medium", "中风险")
high_svg = render("high", "高风险")
assert "#dc2626" in high_svg
assert high_svg.count("#dc2626") == 1
assert "#10a37f" not in high_svg

932
web/package-lock.json generated
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File diff suppressed because it is too large Load Diff

1
web/package.json
View File

@@ -10,6 +10,7 @@
"preview": "vite preview --host 0.0.0.0"
},
"dependencies": {
"@antv/g6": "^5.1.1",
"@primevue/themes": "^4.5.4",
"@vitejs/plugin-vue": "^5.2.4",
"@vueuse/motion": "^3.0.3",

275
web/src/assets/styles/views/audit-view-part2.css
View File

@@ -828,6 +828,64 @@
line-height: 1.55;
}
.shared-confirm-card:has(.risk-rule-create-form) {
width: min(680px, 100%);
}
.risk-rule-create-form {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 12px;
}
.risk-rule-create-form label {
display: grid;
gap: 7px;
}
.risk-rule-create-form label.span-2 {
grid-column: 1 / -1;
}
.risk-rule-create-form label span {
color: #475569;
font-size: 12px;
font-weight: 850;
}
.risk-rule-create-form select,
.risk-rule-create-form textarea {
width: 100%;
border: 1px solid #cbd5e1;
border-radius: 10px;
background: #fff;
color: #0f172a;
font-size: 13px;
}
.risk-rule-create-form select {
min-height: 42px;
padding: 0 12px;
}
.risk-rule-create-form textarea {
min-height: 140px;
resize: vertical;
padding: 12px;
line-height: 1.6;
}
.risk-rule-create-form select:focus,
.risk-rule-create-form textarea:focus {
outline: 0;
border-color: rgba(16, 185, 129, 0.5);
box-shadow: 0 0 0 3px rgba(16, 185, 129, 0.12);
}
.risk-rule-create-form textarea::placeholder {
color: #94a3b8;
}
.publish-summary {
display: flex;
align-items: center;
@@ -1036,16 +1094,15 @@
transform: rotate(90deg);
}
.json-risk-summary-grid {
grid-template-columns: 1fr;
}
.field.span-2 {
grid-column: span 1;
}
}
.json-risk-skill-detail .detail-scroll {
display: grid;
grid-template-rows: auto minmax(0, 1fr);
}
.json-risk-editor-shell {
min-height: 0;
height: 100%;
@@ -1053,26 +1110,118 @@
flex-direction: column;
gap: 10px;
padding: 10px;
overflow: hidden;
}
.asset-detail-topbar {
display: flex;
align-items: center;
justify-content: space-between;
gap: 16px;
padding: 14px 0 10px;
border: 0;
border-radius: 0;
background: transparent;
box-shadow: none;
}
.asset-detail-topbar.panel {
padding: 14px 0 10px;
border: 0;
background: transparent;
box-shadow: none;
}
.asset-detail-topbar-main {
flex: 1 1 auto;
min-width: 0;
}
.asset-detail-topbar-main h2 {
margin: 0;
color: #0f172a;
font-size: 18px;
font-weight: 850;
line-height: 1.25;
}
.asset-detail-topbar-main p {
flex-basis: 100%;
margin: 0;
max-width: 860px;
color: #64748b;
font-size: 13px;
line-height: 1.5;
}
.asset-detail-topbar-meta {
flex: 0 0 auto;
justify-content: flex-end;
}
.asset-detail-topbar .hero-review-meta {
flex-basis: 100%;
margin-top: 2px;
}
.asset-detail-topbar .review-note-block {
flex-basis: 100%;
margin-top: 4px;
}
.asset-detail-topbar .hero-stats {
display: flex;
align-items: center;
flex-wrap: wrap;
}
.asset-detail-topbar .hero-stat {
min-height: 30px;
padding: 0 10px;
border-radius: 999px;
background: #f8fafc;
}
.asset-detail-topbar .hero-stat span {
display: none;
}
.asset-detail-topbar .hero-stat strong {
font-size: 12px;
font-weight: 800;
}
.json-risk-editor-head {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 16px;
align-items: center;
padding-top: 4px;
padding-bottom: 8px;
}
.json-risk-editor-title {
min-width: 0;
display: flex;
align-items: flex-start;
align-items: center;
gap: 12px;
}
.json-risk-head-copy {
min-width: 0;
display: grid;
gap: 6px;
}
.json-risk-head-title-row {
min-width: 0;
display: flex;
align-items: center;
gap: 10px;
}
.json-risk-editor-title h2 {
color: #0f172a;
font-size: 18px;
font-weight: 850;
line-height: 1.25;
}
.json-risk-editor-title p {
@@ -1085,7 +1234,7 @@
.json-risk-head-subtitle {
display: -webkit-box;
margin: 6px 0 0;
margin: 0;
max-width: 760px;
overflow: hidden;
color: #64748b;
@@ -1095,11 +1244,24 @@
-webkit-line-clamp: 2;
}
.json-risk-head-category {
margin: 6px 0 0;
color: #be123c;
.json-risk-head-meta {
display: flex;
align-items: center;
gap: 8px;
flex-wrap: wrap;
}
.json-risk-head-meta span {
min-height: 24px;
display: inline-flex;
align-items: center;
padding: 0 8px;
border-radius: 999px;
background: #f8fafc;
color: #475569;
font-size: 12px;
font-weight: 600;
font-weight: 750;
border: 1px solid #e2e8f0;
}
.skill-name-cell .skill-list-subtitle {
@@ -1131,16 +1293,41 @@
font-weight: 800;
}
.json-risk-mode-pill.high {
background: #fef2f2;
color: #dc2626;
}
.json-risk-mode-pill.medium {
background: #fff7ed;
color: #ea580c;
}
.json-risk-mode-pill.low {
background: #ecfdf5;
color: #059669;
}
.json-risk-editor-body {
flex: 1 1 auto;
min-height: 0;
display: block;
overflow-y: auto;
overflow-x: hidden;
padding: 0 2px 2px 0;
}
.json-risk-main-stage {
min-width: 0;
min-height: 0;
display: grid;
gap: 12px;
padding-bottom: 2px;
}
.json-risk-flow-card {
min-width: 0;
overflow: hidden;
}
.json-risk-description-card {
@@ -1193,46 +1380,6 @@
letter-spacing: 0.04em;
}
.json-risk-flow-diagram {
display: grid;
grid-template-columns: minmax(0, 1fr) auto minmax(0, 1fr) auto minmax(0, 1fr);
gap: 10px;
align-items: center;
}
.json-risk-flow-column {
display: grid;
gap: 6px;
padding: 12px;
border-radius: 12px;
border: 1px solid #e2e8f0;
background: #f8fafc;
}
.json-risk-flow-column.center {
text-align: center;
background: #fff1f2;
border-color: #fecdd3;
}
.json-risk-flow-column code {
font-size: 11px;
color: #334155;
}
.json-risk-flow-label {
font-size: 11px;
font-weight: 800;
color: #64748b;
text-transform: uppercase;
}
.json-risk-flow-arrow {
color: #94a3b8;
font-size: 18px;
font-weight: 800;
}
.json-risk-editor-toolbar {
display: flex;
align-items: center;
@@ -1253,3 +1400,21 @@
border: 1px solid #e2e8f0;
background: #ffffff;
}
@media (max-width: 760px) {
.risk-rule-create-form,
.json-risk-summary-grid {
grid-template-columns: 1fr;
}
}
@media (max-width: 860px) {
.json-risk-editor-head {
flex-direction: column;
align-items: stretch;
}
.json-risk-editor-actions {
justify-content: flex-start;
}
}

13
web/src/assets/styles/views/audit-view.css
View File

@@ -570,6 +570,19 @@ tbody tr:hover {
grid-template-rows: minmax(0, 1fr);
}
.json-risk-skill-detail .detail-scroll {
min-height: 0;
overflow: hidden;
align-content: stretch;
grid-template-rows: minmax(0, 1fr);
}
.detail-loading-state {
width: 100%;
min-height: 260px;
align-self: center;
}
.detail-hero {
display: grid;
grid-template-columns: minmax(0, 1fr) 320px;

26
web/src/assets/styles/views/travel-reimbursement-create-view-part2.css
View File

@@ -687,6 +687,13 @@
z-index: 1;
}
.insight-body.document-review-body {
display: flex;
flex-direction: column;
align-content: stretch;
overflow: hidden;
}
.review-side-card {
display: grid;
gap: 10px;
@@ -1186,6 +1193,10 @@
.review-ticket-drawer {
min-height: 0;
grid-template-rows: auto minmax(0, 1fr);
height: 100%;
flex: 1 1 auto;
overflow: hidden;
}
.review-document-switch-head {
@@ -1226,6 +1237,7 @@
.review-document-stage {
display: grid;
grid-template-rows: auto auto minmax(0, 1fr);
gap: 12px;
min-height: 0;
}
@@ -1292,7 +1304,8 @@
.review-document-scroll {
display: grid;
gap: 12px;
max-height: 430px;
max-height: none;
min-height: 0;
overflow-y: auto;
padding-right: 4px;
}
@@ -1320,8 +1333,15 @@
.review-document-preview-card.image img {
display: block;
width: 100%;
height: 188px;
object-fit: cover;
height: auto;
max-height: 260px;
object-fit: contain;
}
.review-document-preview-card.image {
display: grid;
place-items: center;
min-height: 220px;
}
.review-document-preview-placeholder {

643
web/src/components/logs/KnowledgeIngestGraphView.vue Normal file
View File

@@ -0,0 +1,643 @@
<template>
<section class="knowledge-graph-space">
<header class="graph-head">
<div>
<span class="graph-eyebrow">LightRAG 知识图谱</span>
<h4>实体关系空间</h4>
</div>
<div class="graph-toolbar">
<label class="graph-search">
<i class="mdi mdi-magnify"></i>
<input
v-model.trim="graphQuery"
type="search"
placeholder="搜索实体"
@keydown.enter.prevent="focusMatchedNode"
/>
</label>
<button type="button" title="定位匹配实体" @click="focusMatchedNode">
<i class="mdi mdi-crosshairs-gps"></i>
</button>
<button type="button" title="缩小" @click="zoomGraph(0.86)">
<i class="mdi mdi-magnify-minus-outline"></i>
</button>
<button type="button" title="放大" @click="zoomGraph(1.16)">
<i class="mdi mdi-magnify-plus-outline"></i>
</button>
<button type="button" title="适配画布" @click="fitGraph">
<i class="mdi mdi-fit-to-page-outline"></i>
</button>
</div>
</header>
<div class="graph-stats">
<span>{{ graphSummary.entityCount }} 实体</span>
<span>{{ graphSummary.relationCount }} 关系</span>
<span>{{ graphSummary.visibleNodeCount }} 节点可见</span>
<span>{{ graphSummary.visibleEdgeCount }} 连线可见</span>
</div>
<div class="graph-body" :class="{ empty: !graphData.nodes.length }">
<div class="graph-theater">
<div v-if="graphData.nodes.length" ref="graphContainer" class="g6-canvas"></div>
<div v-else class="graph-empty">
<strong>暂无图谱数据</strong>
<span>本次归集还没有返回可展示的实体关系。</span>
</div>
<div v-if="graphData.nodes.length" class="graph-hud">
<span>G6 Force</span>
<span>拖拽节点</span>
<span>滚轮缩放</span>
<span>点击查看详情</span>
</div>
</div>
<aside class="graph-inspector">
<template v-if="selectedNode">
<div class="inspector-title">
<span>节点详情</span>
<h5>{{ selectedNode.name }}</h5>
</div>
<div class="node-facts">
<div>
<span>关系数</span>
<strong>{{ selectedNode.degree }}</strong>
</div>
<div>
<span>入边</span>
<strong>{{ selectedNodeIncoming.length }}</strong>
</div>
<div>
<span>出边</span>
<strong>{{ selectedNodeOutgoing.length }}</strong>
</div>
</div>
<div class="node-meta">
<span>类型</span>
<strong>{{ selectedNode.type || '实体' }}</strong>
</div>
<KnowledgeIngestNodeDetails
:node="selectedNode"
:incoming="selectedNodeIncoming"
:outgoing="selectedNodeOutgoing"
:relations="selectedNodeRelations"
@focus-peer="focusRelationPeer"
/>
</template>
<div v-else class="inspector-empty">
<strong>选择一个实体</strong>
<span>点击图谱中的节点，查看它的入边、出边和关系明细。</span>
</div>
</aside>
</div>
</section>
</template>
<script setup>
import { Graph, NodeEvent } from '@antv/g6'
import { nextTick, onBeforeUnmount, onMounted, ref, watch } from 'vue'
import KnowledgeIngestNodeDetails from './KnowledgeIngestNodeDetails.vue'
import { useKnowledgeIngestGraph } from './useKnowledgeIngestGraph.js'
const props = defineProps({
graph: {
type: Object,
default: () => ({})
},
documents: {
type: Array,
default: () => []
}
})
const graphContainer = ref(null)
let graphInstance = null
let resizeObserver = null
const {
activeNodeId,
graphData,
graphQuery,
graphSummary,
selectNodeById,
focusFirstMatch,
selectRelationPeer,
selectedNode,
selectedNodeIncoming,
selectedNodeOutgoing,
selectedNodeRelations
} = useKnowledgeIngestGraph(props)
onMounted(() => {
initGraph()
})
onBeforeUnmount(() => {
resizeObserver?.disconnect()
graphInstance?.destroy()
resizeObserver = null
graphInstance = null
})
watch(
graphData,
() => {
renderGraph()
},
{ deep: true }
)
watch(activeNodeId, (nodeId) => {
syncGraphSelection(nodeId)
})
async function initGraph() {
if (!graphData.value.nodes.length) return
await nextTick()
if (!graphContainer.value || graphInstance) return
graphInstance = new Graph(buildGraphOptions())
graphInstance.on(NodeEvent.CLICK, async (event) => {
const nodeId = String(event?.target?.id || '').trim()
if (!nodeId) return
selectNodeById(nodeId)
await focusGraphNode(nodeId, { focus: false })
})
await graphInstance.render()
await syncGraphSelection(activeNodeId.value)
observeResize()
await fitGraph()
}
function buildGraphOptions() {
return {
container: graphContainer.value,
autoResize: true,
background: 'transparent',
zoomRange: [0.22, 2.8],
autoFit: {
type: 'view',
options: { padding: [86, 122, 86, 122] },
animation: { duration: 520, easing: 'ease-in-out' }
},
data: graphData.value,
layout: {
type: 'd3-force',
preventOverlap: true,
centerStrength: 0.34,
linkDistance: (edge) => (edge?.data?.weight > 2 ? 155 : 210),
edgeStrength: 0.22,
nodeStrength: (node) => (node?.data?.degree >= 5 ? -520 : -360),
collide: {
radius: (node) => 40 + Math.sqrt(Math.max(node?.data?.degree || 1, 1)) * 12,
strength: 0.88,
iterations: 3
},
manyBody: {
strength: (node) => (node?.data?.degree >= 5 ? -620 : -420),
distanceMax: 620
},
center: {
strength: 0.24
},
alpha: 0.88,
alphaDecay: 0.035,
velocityDecay: 0.32,
iterations: 360
},
node: {
type: 'circle',
style: (datum) => datum.style,
state: {
selected: {
lineWidth: 4,
stroke: '#1d4ed8',
halo: true,
haloStroke: '#60a5fa',
haloLineWidth: 24,
haloStrokeOpacity: 0.24,
shadowBlur: 22
},
active: {
lineWidth: 3,
halo: true,
haloLineWidth: 16,
haloStrokeOpacity: 0.28
},
inactive: {
opacity: 0.2
},
dimmed: {
opacity: 0.18
}
}
},
edge: {
type: 'line',
style: (datum) => datum.style,
state: {
selected: {
stroke: '#2563eb',
lineWidth: 2.8,
opacity: 0.96,
halo: true,
haloStroke: '#93c5fd',
haloLineWidth: 8,
haloStrokeOpacity: 0.2
},
active: {
stroke: '#60a5fa',
lineWidth: 2.4,
opacity: 0.9
},
inactive: {
opacity: 0.14
}
}
},
behaviors: [
{ type: 'drag-canvas', key: 'drag-canvas' },
{ type: 'zoom-canvas', key: 'zoom-canvas', sensitivity: 1.15 },
{ type: 'drag-element-force', key: 'drag-element-force', fixed: true }
],
animation: { duration: 420, easing: 'ease-out' }
}
}
async function renderGraph() {
if (!graphData.value.nodes.length) return
if (!graphInstance) {
await initGraph()
return
}
graphInstance.setData(graphData.value)
await graphInstance.render()
await syncGraphSelection(activeNodeId.value)
await fitGraph()
}
async function syncGraphSelection(nodeId) {
if (!graphInstance || graphInstance.destroyed || !nodeId) return
const stateMap = {}
for (const node of graphData.value.nodes) {
if (node.id === nodeId) {
stateMap[node.id] = ['selected']
} else if (node.states?.includes('dimmed')) {
stateMap[node.id] = ['dimmed']
} else {
stateMap[node.id] = []
}
}
for (const edge of graphData.value.edges) {
stateMap[edge.id] = edge.source === nodeId || edge.target === nodeId ? ['selected'] : ['inactive']
}
await graphInstance.setElementState(stateMap, false)
}
async function fitGraph() {
if (!graphInstance || graphInstance.destroyed) return
await graphInstance.fitView(
{ padding: [84, 118, 84, 118] },
{ duration: 420, easing: 'ease-in-out' }
)
}
async function zoomGraph(ratio) {
if (!graphInstance || graphInstance.destroyed) return
await graphInstance.zoomBy(ratio, { duration: 220, easing: 'ease-out' })
}
async function focusMatchedNode() {
const nodeId = focusFirstMatch()
if (nodeId) await focusGraphNode(nodeId)
}
async function focusRelationPeer(relation) {
const nodeId = selectRelationPeer(relation)
if (nodeId) await focusGraphNode(nodeId)
}
async function focusGraphNode(nodeId, options = {}) {
if (!graphInstance || graphInstance.destroyed) return
await syncGraphSelection(nodeId)
if (options.focus === false) return
await graphInstance.focusElement(nodeId, { duration: 360, easing: 'ease-in-out' })
}
function observeResize() {
if (!graphContainer.value || typeof ResizeObserver === 'undefined') return
resizeObserver = new ResizeObserver(() => {
if (!graphInstance || graphInstance.destroyed) return
graphInstance.setSize(graphContainer.value.clientWidth, graphContainer.value.clientHeight)
})
resizeObserver.observe(graphContainer.value)
}
</script>
<style scoped>
.knowledge-graph-space {
min-height: 1080px;
display: grid;
grid-template-rows: auto auto minmax(1020px, 1fr);
gap: 12px;
overflow: hidden;
}
.graph-head {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 16px;
}
.graph-eyebrow {
color: #0f766e;
font-size: 12px;
font-weight: 850;
}
.graph-head h4 {
margin: 4px 0 0;
color: #0f172a;
font-size: 15px;
}
.graph-toolbar,
.graph-stats {
display: flex;
flex-wrap: wrap;
justify-content: flex-end;
gap: 8px;
}
.graph-search {
min-width: 230px;
min-height: 32px;
display: inline-flex;
align-items: center;
gap: 6px;
padding: 0 9px;
border: 1px solid #dbe6ef;
border-radius: 8px;
background: #fff;
color: #64748b;
}
.graph-search input {
width: 100%;
min-width: 0;
border: 0;
outline: 0;
background: transparent;
color: #0f172a;
font-size: 12px;
}
.graph-toolbar button {
width: 32px;
height: 32px;
display: grid;
place-items: center;
border: 1px solid #dbe6ef;
border-radius: 8px;
background: #fff;
color: #475569;
cursor: pointer;
transition: border-color 0.2s ease, color 0.2s ease, transform 0.2s ease;
}
.graph-toolbar button:hover {
border-color: #2563eb;
color: #2563eb;
transform: translateY(-1px);
}
.graph-stats {
justify-content: flex-start;
}
.graph-stats span {
min-height: 26px;
display: inline-flex;
align-items: center;
padding: 0 9px;
border: 1px solid #dbe6ef;
border-radius: 999px;
background: #fff;
color: #475569;
font-size: 12px;
font-weight: 750;
}
.graph-body {
min-height: 0;
display: grid;
grid-template-columns: minmax(0, 1fr) 360px;
gap: 14px;
overflow: hidden;
}
.graph-theater {
position: relative;
min-height: 1020px;
overflow: hidden;
border: 1px solid rgba(148, 163, 184, 0.24);
border-radius: 8px;
background: linear-gradient(180deg, #ffffff 0%, #f8fafc 54%, #eef4fb 100%);
box-shadow: inset 0 0 0 1px rgba(226, 232, 240, 0.82);
}
.graph-theater::before {
position: absolute;
inset: 0;
content: '';
pointer-events: none;
background:
linear-gradient(rgba(148, 163, 184, 0.18) 1px, transparent 1px),
linear-gradient(90deg, rgba(148, 163, 184, 0.18) 1px, transparent 1px);
background-size: 34px 34px;
mask-image: radial-gradient(circle at center, black 0%, black 58%, transparent 100%);
}
.g6-canvas {
position: absolute;
inset: 0;
z-index: 1;
cursor: grab;
}
.g6-canvas:active {
cursor: grabbing;
}
.graph-hud {
position: absolute;
left: 14px;
right: 14px;
bottom: 12px;
z-index: 2;
display: flex;
flex-wrap: wrap;
gap: 8px;
pointer-events: none;
}
.graph-hud span {
min-height: 24px;
display: inline-flex;
align-items: center;
padding: 0 8px;
border: 1px solid rgba(203, 213, 225, 0.86);
border-radius: 999px;
background: rgba(255, 255, 255, 0.76);
color: #334155;
font-size: 11px;
font-weight: 750;
backdrop-filter: blur(10px);
}
.graph-inspector {
min-height: 0;
display: grid;
align-content: start;
gap: 12px;
overflow: auto;
padding: 12px;
border: 1px solid #dbe6ef;
border-radius: 8px;
background: #fff;
}
.inspector-title span {
color: #0f766e;
font-size: 12px;
font-weight: 850;
}
.inspector-title h5 {
margin: 4px 0 0;
color: #0f172a;
font-size: 15px;
line-height: 1.35;
word-break: break-word;
}
.node-facts {
display: grid;
grid-template-columns: repeat(3, minmax(0, 1fr));
gap: 8px;
}
.node-facts div,
.node-meta {
min-width: 0;
display: grid;
gap: 4px;
padding: 9px;
border-radius: 8px;
background: #f8fafc;
}
.node-meta {
grid-template-columns: auto minmax(0, 1fr);
align-items: center;
}
.node-facts span,
.node-meta span {
color: #64748b;
font-size: 12px;
}
.node-facts strong,
.node-meta strong {
min-width: 0;
overflow: hidden;
color: #0f172a;
font-size: 15px;
text-overflow: ellipsis;
white-space: nowrap;
}
.graph-empty,
.inspector-empty {
min-height: 120px;
display: grid;
place-items: center;
align-content: center;
gap: 6px;
color: #64748b;
text-align: center;
}
.graph-empty {
position: absolute;
inset: 0;
z-index: 1;
}
.graph-empty strong,
.inspector-empty strong {
color: #0f172a;
font-size: 14px;
}
.inspector-empty strong {
color: #0f172a;
}
.graph-empty span,
.inspector-empty span {
font-size: 12px;
}
@media (prefers-reduced-motion: reduce) {
.graph-toolbar button {
transition: none;
}
}
@media (max-width: 980px) {
.knowledge-graph-space {
min-height: 980px;
grid-template-rows: auto auto minmax(900px, 1fr);
}
.graph-head {
flex-direction: column;
}
.graph-toolbar {
justify-content: flex-start;
}
.graph-body {
grid-template-columns: 1fr;
grid-template-rows: minmax(780px, 1fr) minmax(220px, auto);
}
.graph-theater {
min-height: 780px;
}
.graph-inspector {
max-height: 240px;
}
}
@media (max-width: 620px) {
.graph-search {
min-width: 100%;
}
.graph-toolbar {
width: 100%;
}
}
</style>

386
web/src/components/logs/KnowledgeIngestNodeDetails.vue Normal file
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<template>
<div class="node-detail-panel">
<section class="detail-section">
<div class="detail-section-head">
<strong>节点说明</strong>
<span>{{ safeNode.type || '实体' }}</span>
</div>
<div v-if="descriptionItems.length" class="description-list">
<p v-for="(description, index) in descriptionItems" :key="index">
{{ description }}
</p>
</div>
<div v-else class="detail-empty compact">
当前节点暂无 LightRAG 描述，完成新的归集后会从图谱属性中补充。
</div>
</section>
<section class="detail-section">
<div class="detail-section-head">
<strong>节点属性</strong>
<span>{{ propertyItems.length }} 项</span>
</div>
<dl class="property-grid">
<div>
<dt>类型</dt>
<dd>{{ safeNode.type || '实体' }}</dd>
</div>
<div>
<dt>关系数</dt>
<dd>{{ safeNode.degree || 0 }}</dd>
</div>
<div>
<dt>入边</dt>
<dd>{{ incoming.length }}</dd>
</div>
<div>
<dt>出边</dt>
<dd>{{ outgoing.length }}</dd>
</div>
</dl>
<div v-if="labelItems.length" class="label-row">
<span v-for="label in labelItems" :key="label">{{ label }}</span>
</div>
<dl v-if="propertyItems.length" class="raw-property-list">
<div v-for="item in propertyItems" :key="item.key">
<dt>{{ item.label }}</dt>
<dd>{{ item.value }}</dd>
</div>
</dl>
</section>
<section class="detail-section relation-section">
<div class="detail-section-head">
<strong>关系语境</strong>
<span>{{ relationRows.length }} 条</span>
</div>
<div v-if="relationRows.length" class="relation-detail-list">
<button
v-for="relation in relationRows"
:key="relation.key"
type="button"
@click="$emit('focus-peer', relation.raw)"
>
<span class="relation-direction">{{ relation.directionLabel }}</span>
<span class="relation-peer">{{ relation.peerName }}</span>
<strong>{{ relation.type }}</strong>
<p v-if="relation.description">{{ relation.description }}</p>
<div v-if="relation.keywords.length" class="keyword-row">
<span v-for="keyword in relation.keywords" :key="keyword">{{ keyword }}</span>
</div>
</button>
</div>
<div v-else class="detail-empty compact">暂无关联关系。</div>
</section>
</div>
</template>
<script setup>
import { computed } from 'vue'
const props = defineProps({
node: {
type: Object,
default: null
},
incoming: {
type: Array,
default: () => []
},
outgoing: {
type: Array,
default: () => []
},
relations: {
type: Array,
default: () => []
}
})
defineEmits(['focus-peer'])
const safeNode = computed(() => (props.node && typeof props.node === 'object' ? props.node : {}))
const descriptionItems = computed(() => {
const descriptions = Array.isArray(safeNode.value.descriptions)
? safeNode.value.descriptions
: []
const fallback = String(safeNode.value.description || '').trim()
return dedupeTextItems(descriptions.length ? descriptions : [fallback]).slice(0, 6)
})
const labelItems = computed(() => dedupeTextItems(safeNode.value.labels).slice(0, 8))
const propertyItems = computed(() => {
const properties =
safeNode.value.properties && typeof safeNode.value.properties === 'object'
? safeNode.value.properties
: {}
return Object.entries(properties)
.filter(([key, value]) => !hiddenPropertyKeys.has(key) && String(value || '').trim())
.map(([key, value]) => ({
key,
label: formatPropertyKey(key),
value: String(value).trim()
}))
.slice(0, 10)
})
const relationRows = computed(() => {
const nodeName = String(safeNode.value.name || '').trim()
if (!nodeName || !Array.isArray(props.relations)) return []
return props.relations.map((relation, index) => {
const isOutgoing = relation.source === nodeName
const peerName = isOutgoing ? relation.target : relation.source
return {
key: `${relation.source}-${relation.target}-${relation.type}-${index}`,
raw: relation,
peerName,
type: String(relation.type || '关联').trim(),
directionLabel: isOutgoing ? '指向' : '来自',
description: String(relation.description || '').trim(),
keywords: dedupeTextItems(relation.keywords).slice(0, 6)
}
})
})
const hiddenPropertyKeys = new Set(['source_id', 'file_path', 'truncate'])
function dedupeTextItems(items) {
const sourceItems = Array.isArray(items)
? items
: String(items || '')
.split('<SEP>')
.filter(Boolean)
const result = []
const seen = new Set()
for (const item of sourceItems) {
const text = String(item || '').trim()
if (!text || seen.has(text)) continue
seen.add(text)
result.push(text)
}
return result
}
function formatPropertyKey(key) {
const labels = {
entity_id: '实体ID',
entity_type: '实体类型',
created_at: '创建时间',
weight: '权重'
}
return labels[key] || key
}
</script>
<style scoped>
.node-detail-panel,
.detail-section,
.description-list,
.relation-detail-list {
display: grid;
gap: 10px;
}
.detail-section {
min-width: 0;
padding: 11px;
border: 1px solid #e5edf5;
border-radius: 8px;
background: #f8fafc;
}
.detail-section-head {
display: flex;
align-items: center;
justify-content: space-between;
gap: 10px;
}
.detail-section-head strong {
color: #0f172a;
font-size: 13px;
}
.detail-section-head span {
max-width: 56%;
overflow: hidden;
color: #475569;
font-size: 11px;
font-weight: 800;
text-overflow: ellipsis;
white-space: nowrap;
}
.description-list {
max-height: 190px;
overflow: auto;
padding-right: 3px;
}
.description-list p {
margin: 0;
padding: 9px;
border: 1px solid #dbeafe;
border-radius: 8px;
background: #fff;
color: #1e293b;
font-size: 12px;
line-height: 1.62;
}
.property-grid,
.raw-property-list {
display: grid;
gap: 8px;
}
.property-grid {
grid-template-columns: repeat(2, minmax(0, 1fr));
}
.property-grid div,
.raw-property-list div {
min-width: 0;
display: grid;
gap: 4px;
}
.property-grid div {
padding: 8px;
border: 1px solid #e2e8f0;
border-radius: 8px;
background: #fff;
}
.property-grid dt,
.raw-property-list dt {
color: #64748b;
font-size: 11px;
font-weight: 750;
}
.property-grid dd,
.raw-property-list dd {
min-width: 0;
margin: 0;
overflow-wrap: anywhere;
color: #0f172a;
font-size: 12px;
font-weight: 800;
}
.label-row,
.keyword-row {
display: flex;
flex-wrap: wrap;
gap: 6px;
}
.label-row span,
.keyword-row span,
.relation-direction {
min-height: 22px;
display: inline-flex;
align-items: center;
padding: 0 7px;
border-radius: 999px;
background: #e0f2fe;
color: #075985;
font-size: 11px;
font-weight: 800;
}
.raw-property-list {
max-height: 160px;
overflow: auto;
padding-top: 2px;
}
.relation-section {
max-height: 360px;
overflow: hidden;
}
.relation-detail-list {
min-height: 0;
overflow: auto;
padding-right: 3px;
}
.relation-detail-list button {
min-width: 0;
display: grid;
grid-template-columns: auto minmax(0, 1fr) auto;
gap: 7px;
padding: 9px;
border: 1px solid #dbeafe;
border-radius: 8px;
background: #fff;
cursor: pointer;
text-align: left;
transition: border-color 0.18s ease, background 0.18s ease, transform 0.18s ease;
}
.relation-detail-list button:hover {
border-color: #60a5fa;
background: #eff6ff;
transform: translateY(-1px);
}
.relation-peer,
.relation-detail-list strong {
min-width: 0;
overflow: hidden;
color: #0f172a;
font-size: 12px;
text-overflow: ellipsis;
white-space: nowrap;
}
.relation-detail-list strong {
color: #1d4ed8;
}
.relation-detail-list p,
.detail-empty {
grid-column: 1 / -1;
margin: 0;
color: #334155;
font-size: 12px;
line-height: 1.55;
}
.keyword-row {
grid-column: 1 / -1;
}
.keyword-row span {
background: #ecfdf5;
color: #047857;
}
.detail-empty {
min-height: 82px;
display: grid;
place-items: center;
text-align: center;
}
.detail-empty.compact {
min-height: 52px;
padding: 8px;
border: 1px dashed #cbd5e1;
border-radius: 8px;
background: #fff;
}
@media (prefers-reduced-motion: reduce) {
.relation-detail-list button {
transition: none;
}
}
</style>

165
web/src/components/logs/KnowledgeIngestNodeEvidence.vue Normal file
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<template>
<div class="evidence-panel">
<div class="evidence-head">
<strong>关联切片正文</strong>
<span>{{ safeEvidence.chunkCount }} 段</span>
</div>
<div v-if="safeEvidence.items.length" class="evidence-list">
<article
v-for="item in safeEvidence.items"
:key="item.documentId"
class="evidence-document"
>
<div class="evidence-document-head">
<div>
<strong>{{ item.name }}</strong>
<small>{{ item.matchType }}</small>
</div>
<span>{{ item.chunks.length }} 段</span>
</div>
<div v-if="item.chunks.length" class="evidence-chunks">
<div v-for="chunk in item.chunks" :key="chunk.id" class="evidence-chunk">
<span>#{{ chunk.order + 1 }}</span>
<p>{{ chunk.excerpt || chunk.summary || '暂无正文片段' }}</p>
<small>{{ chunk.tokens }} tokens</small>
</div>
</div>
<div v-else class="evidence-empty compact">
命中了该实体，但当前日志只返回了 chunk id，未返回对应正文片段。
</div>
</article>
</div>
<div v-else class="evidence-empty">
当前日志没有返回该实体和切片的映射；新归纳日志会优先显示精确切片，旧日志按文档实体降级匹配。
</div>
</div>
</template>
<script setup>
import { computed } from 'vue'
const props = defineProps({
evidence: {
type: Object,
default: () => ({ items: [], chunkCount: 0 })
}
})
const safeEvidence = computed(() => ({
items: Array.isArray(props.evidence?.items) ? props.evidence.items : [],
chunkCount: Number(props.evidence?.chunkCount || 0)
}))
</script>
<style scoped>
.evidence-panel,
.evidence-list,
.evidence-chunks {
display: grid;
gap: 8px;
}
.evidence-head,
.evidence-document-head {
display: flex;
align-items: center;
justify-content: space-between;
gap: 10px;
}
.evidence-head strong {
color: #0f172a;
font-size: 13px;
}
.evidence-head span,
.evidence-document-head small,
.evidence-document-head span {
color: #64748b;
font-size: 11px;
font-weight: 750;
}
.evidence-document {
min-width: 0;
display: grid;
gap: 8px;
padding: 10px;
border: 1px solid #e5edf5;
border-radius: 8px;
background: #f8fafc;
}
.evidence-document-head {
align-items: flex-start;
}
.evidence-document-head div {
min-width: 0;
display: grid;
gap: 3px;
}
.evidence-document-head strong {
min-width: 0;
overflow: hidden;
color: #0f172a;
font-size: 12px;
line-height: 1.35;
text-overflow: ellipsis;
white-space: nowrap;
}
.evidence-chunk {
min-width: 0;
display: grid;
grid-template-columns: auto minmax(0, 1fr) auto;
gap: 8px;
padding: 8px;
border: 1px solid #dbeafe;
border-radius: 8px;
background: #fff;
}
.evidence-chunk span {
color: #2563eb;
font-size: 11px;
font-weight: 850;
}
.evidence-chunk p {
margin: 0;
color: #334155;
font-size: 12px;
line-height: 1.55;
}
.evidence-chunk small {
color: #64748b;
font-size: 11px;
white-space: nowrap;
}
.evidence-empty {
min-height: 96px;
display: grid;
place-items: center;
align-content: center;
gap: 6px;
color: #64748b;
font-size: 12px;
text-align: center;
}
.evidence-empty.compact {
min-height: 56px;
padding: 8px;
border: 1px dashed #cbd5e1;
border-radius: 8px;
background: #fff;
}
</style>

195
web/src/components/logs/KnowledgeIngestRunInfo.vue Normal file
View File

@@ -0,0 +1,195 @@
<template>
<section class="ingest-run-info">
<div class="info-title">
<div>
<span>基本信息</span>
<h4>{{ model.folder || '未指定知识目录' }}</h4>
</div>
<strong :class="model.statusTone">{{ model.statusLabel }}</strong>
</div>
<div class="info-grid">
<div v-for="item in infoItems" :key="item.label" class="info-item">
<span>{{ item.label }}</span>
<strong>{{ item.value }}</strong>
</div>
</div>
</section>
</template>
<script setup>
import { computed } from 'vue'
const props = defineProps({
run: {
type: Object,
required: true
},
model: {
type: Object,
required: true
}
})
const infoItems = computed(() => {
const routeJson = props.run?.route_json || {}
const currentDocument = props.model.documents?.find(
(item) => item.documentId === props.model.currentDocumentId
)
return [
{ label: 'Trace ID', value: props.run?.run_id || '-' },
{ label: '任务类型', value: resolveJobType(routeJson.job_type) },
{ label: '触发来源', value: resolveSource(props.run?.source) },
{ label: '当前阶段', value: props.model.phaseLabel || '-' },
{ label: '开始时间', value: formatDateTime(props.run?.started_at) },
{ label: '结束时间', value: formatDateTime(props.run?.finished_at) },
{ label: '执行耗时', value: formatElapsed(props.run?.started_at, props.run?.finished_at) },
{ label: '当前文件', value: currentDocument?.name || '-' }
]
})
function resolveJobType(value) {
const jobType = String(value || '').trim()
if (jobType === 'knowledge_index_sync') return 'LightRAG 知识归纳'
if (jobType === 'llm_wiki_sync') return 'LLM Wiki 知识归纳'
return jobType || '-'
}
function resolveSource(value) {
const source = String(value || '').trim()
if (source === 'manual') return '手动触发'
if (source === 'scheduled') return '定时任务'
if (source === 'system') return '系统任务'
return source || '-'
}
function formatDateTime(value) {
if (!value) return '-'
const date = new Date(value)
if (Number.isNaN(date.getTime())) return String(value)
return date.toLocaleString('zh-CN', {
month: '2-digit',
day: '2-digit',
hour: '2-digit',
minute: '2-digit',
hour12: false
})
}
function formatElapsed(startedAt, finishedAt) {
const started = new Date(startedAt || '')
const finished = finishedAt ? new Date(finishedAt) : new Date()
if (Number.isNaN(started.getTime()) || Number.isNaN(finished.getTime())) return '-'
const seconds = Math.max(0, Math.round((finished.getTime() - started.getTime()) / 1000))
if (seconds < 60) return `${seconds}s`
const minutes = Math.floor(seconds / 60)
const restSeconds = seconds % 60
if (minutes < 60) return `${minutes}m ${restSeconds}s`
const hours = Math.floor(minutes / 60)
return `${hours}h ${minutes % 60}m`
}
</script>
<style scoped>
.ingest-run-info {
display: grid;
gap: 12px;
padding: 14px;
border: 1px solid #dbe6ef;
border-radius: 8px;
background: #fff;
}
.info-title {
display: flex;
justify-content: space-between;
gap: 16px;
}
.info-title span {
color: #0f766e;
font-size: 12px;
font-weight: 850;
}
.info-title h4 {
margin: 4px 0 0;
color: #0f172a;
font-size: 16px;
}
.info-title > strong {
align-self: flex-start;
min-height: 26px;
display: inline-flex;
align-items: center;
padding: 0 9px;
border-radius: 999px;
font-size: 12px;
}
.info-title > strong.success {
background: #dcfce7;
color: #166534;
}
.info-title > strong.warning {
background: #fef3c7;
color: #92400e;
}
.info-title > strong.danger {
background: #fee2e2;
color: #991b1b;
}
.info-title > strong.muted {
background: #eef2f7;
color: #475569;
}
.info-grid {
display: grid;
grid-template-columns: repeat(4, minmax(0, 1fr));
gap: 8px;
}
.info-item {
min-width: 0;
display: grid;
gap: 5px;
padding: 10px;
border-radius: 8px;
background: #f8fafc;
}
.info-item span {
color: #64748b;
font-size: 12px;
}
.info-item strong {
min-width: 0;
overflow: hidden;
color: #0f172a;
font-size: 13px;
text-overflow: ellipsis;
white-space: nowrap;
}
@media (max-width: 1100px) {
.info-grid {
grid-template-columns: repeat(2, minmax(0, 1fr));
}
}
@media (max-width: 620px) {
.info-title {
flex-direction: column;
}
.info-grid {
grid-template-columns: 1fr;
}
}
</style>

619
web/src/components/logs/KnowledgeIngestRunPanel.vue
View File

@@ -16,184 +16,18 @@
<span :style="{ width: `${model.progress.percent}%` }"></span>
</div>
<div class="metric-strip">
<div v-for="metric in model.metrics" :key="metric.label" class="metric-tile">
<span>{{ metric.label }}</span>
<strong>{{ metric.value }}</strong>
<small>{{ metric.hint }}</small>
</div>
</div>
<KnowledgeIngestRunInfo :run="props.run" :model="model" />
<div class="ingest-workspace">
<aside class="file-rail">
<button
v-for="document in model.documents"
:key="document.documentId"
type="button"
class="file-item"
:class="{ active: selectedDocumentId === document.documentId }"
@click="selectDocument(document.documentId)"
>
<i :class="documentIcon(document)"></i>
<span class="file-copy">
<strong>{{ document.name }}</strong>
<small>
{{ document.phaseLabel }} · {{ document.chunkCount }} chunk
</small>
</span>
<span class="mini-status" :class="document.statusTone">
{{ document.statusLabel }}
</span>
</button>
</aside>
<section v-if="selectedDocument" class="file-detail">
<div class="detail-topline">
<div>
<h4>{{ selectedDocument.name }}</h4>
<p>
{{ selectedDocument.folder || '根目录' }}
<span v-if="selectedDocument.extension"> · {{ selectedDocument.extension }}</span>
</p>
</div>
<span class="status-chip" :class="selectedDocument.statusTone">
{{ selectedDocument.statusLabel }}
</span>
</div>
<div class="detail-stats">
<div>
<span>原文字符</span>
<strong>{{ formatKnowledgeMetric(selectedDocument.textChars) }}</strong>
</div>
<div>
<span>索引字符</span>
<strong>{{ formatKnowledgeMetric(selectedDocument.indexedTextChars) }}</strong>
</div>
<div>
<span>Chunk</span>
<strong>{{ formatKnowledgeMetric(selectedDocument.chunkCount) }}</strong>
</div>
<div>
<span>实体 / 关系</span>
<strong>
{{ formatKnowledgeMetric(selectedDocument.entityCount) }}
/
{{ formatKnowledgeMetric(selectedDocument.relationCount) }}
</strong>
</div>
</div>
<p v-if="selectedDocument.error" class="error-note">
{{ selectedDocument.error }}
</p>
<div class="detail-section-grid">
<section class="detail-section">
<div class="section-head">
<h5>Chunk 信息</h5>
<span>{{ selectedDocument.chunks.length }} 条</span>
</div>
<div v-if="selectedDocument.chunks.length" class="chunk-list">
<div v-for="chunk in selectedDocument.chunks" :key="chunk.id" class="chunk-row">
<span class="chunk-index">#{{ chunk.order + 1 }}</span>
<div>
<strong>{{ compactId(chunk.id) }}</strong>
<p>{{ chunk.summary || '暂无摘要' }}</p>
</div>
<small>{{ chunk.tokens }} tokens</small>
</div>
</div>
<div v-else class="compact-empty">暂无 chunk 明细</div>
</section>
<section class="detail-section">
<div class="section-head">
<h5>章节提取</h5>
<span>{{ selectedDocument.sectionCount }} 条</span>
</div>
<div v-if="selectedDocument.sections.length" class="section-list">
<div
v-for="section in selectedDocument.sections"
:key="section.title"
class="section-row"
>
<strong>{{ section.title }}</strong>
<p>{{ section.excerpt || '暂无章节摘要' }}</p>
</div>
</div>
<div v-else class="compact-empty">暂无章节信息</div>
</section>
</div>
<section class="detail-section">
<div class="section-head">
<h5>处理事件</h5>
<span>{{ selectedDocument.events.length }} 条</span>
</div>
<div v-if="selectedDocument.events.length" class="event-list">
<div
v-for="event in selectedDocument.events"
:key="`${event.at}-${event.message}`"
class="event-row"
:class="event.level"
>
<span></span>
<div>
<strong>{{ formatEventTime(event.at) }}</strong>
<p>{{ event.message }}</p>
</div>
</div>
</div>
<div v-else class="compact-empty">暂无处理事件</div>
</section>
</section>
</div>
<section class="graph-section">
<div class="section-head">
<h4>图谱形成</h4>
<span>
{{ formatKnowledgeMetric(model.graph.entityCount) }} 实体 ·
{{ formatKnowledgeMetric(model.graph.relationCount) }} 关系
</span>
</div>
<div class="graph-grid">
<div class="graph-pane">
<h5>实体</h5>
<div v-if="model.graph.entities.length" class="entity-cloud">
<span v-for="entity in model.graph.entities" :key="entity">{{ entity }}</span>
</div>
<div v-else class="compact-empty">暂无实体</div>
</div>
<div class="graph-pane">
<h5>关系</h5>
<div v-if="model.graph.relations.length" class="relation-list">
<div
v-for="relation in model.graph.relations"
:key="`${relation.source}-${relation.target}-${relation.type}`"
class="relation-row"
>
<strong>{{ relation.source }}</strong>
<i class="mdi mdi-arrow-right-thin"></i>
<strong>{{ relation.target }}</strong>
<span>{{ relation.type }}</span>
</div>
</div>
<div v-else class="compact-empty">暂无关系</div>
</div>
</div>
</section>
<KnowledgeIngestGraphView :graph="model.graph" />
</article>
</template>
<script setup>
import { computed, ref, watch } from 'vue'
import { computed } from 'vue'
import {
buildKnowledgeIngestLogModel,
formatKnowledgeMetric
} from '../../utils/knowledgeIngestLogModel.js'
import KnowledgeIngestGraphView from './KnowledgeIngestGraphView.vue'
import KnowledgeIngestRunInfo from './KnowledgeIngestRunInfo.vue'
import { buildKnowledgeIngestLogModel } from '../../utils/knowledgeIngestLogModel.js'
const props = defineProps({
run: {
@@ -202,63 +36,18 @@ const props = defineProps({
}
})
const selectedDocumentId = ref('')
const model = computed(() => buildKnowledgeIngestLogModel(props.run))
const selectedDocument = computed(
() => model.value.documents.find((item) => item.documentId === selectedDocumentId.value) || null
)
watch(
() => model.value.selectedDocumentId,
(nextDocumentId) => {
if (!nextDocumentId) {
selectedDocumentId.value = ''
return
}
if (!selectedDocumentId.value || !model.value.documents.some((item) => item.documentId === selectedDocumentId.value)) {
selectedDocumentId.value = nextDocumentId
}
},
{ immediate: true }
)
function selectDocument(documentId) {
selectedDocumentId.value = documentId
}
function documentIcon(document) {
const extension = String(document?.extension || '').toLowerCase()
if (extension === 'pdf') return 'mdi mdi-file-pdf-box'
if (['doc', 'docx'].includes(extension)) return 'mdi mdi-file-word-box'
if (['xls', 'xlsx', 'csv'].includes(extension)) return 'mdi mdi-file-excel-box'
if (['ppt', 'pptx'].includes(extension)) return 'mdi mdi-file-powerpoint-box'
return 'mdi mdi-file-document-outline'
}
function compactId(value) {
const text = String(value || '').trim()
if (text.length <= 18) return text || 'chunk'
return `${text.slice(0, 8)}...${text.slice(-6)}`
}
function formatEventTime(value) {
if (!value) return '刚刚'
const date = new Date(value)
if (Number.isNaN(date.getTime())) return String(value)
return date.toLocaleTimeString('zh-CN', {
hour: '2-digit',
minute: '2-digit',
second: '2-digit',
hour12: false
})
}
</script>
<style scoped>
.knowledge-ingest-panel {
display: grid;
grid-template-rows: auto auto auto minmax(1080px, 1fr);
gap: 14px;
height: clamp(1500px, calc(100dvh + 860px), 1880px);
min-height: 1500px;
padding: 18px;
overflow: hidden;
}
.ingest-head {
@@ -328,381 +117,15 @@ function formatEventTime(value) {
transition: width 0.24s ease;
}
.metric-strip {
display: grid;
grid-template-columns: repeat(4, minmax(0, 1fr));
gap: 10px;
}
.metric-tile {
min-width: 0;
display: grid;
gap: 4px;
padding: 11px 12px;
border: 1px solid #e5edf5;
border-radius: 8px;
background: #fff;
}
.metric-tile span,
.metric-tile small {
color: #64748b;
font-size: 12px;
}
.metric-tile strong {
color: #0f172a;
font-size: 18px;
line-height: 1.2;
}
.ingest-workspace {
display: grid;
grid-template-columns: minmax(230px, 0.85fr) minmax(0, 2fr);
gap: 14px;
min-height: 360px;
}
.file-rail {
min-width: 0;
display: grid;
align-content: start;
gap: 8px;
}
.file-item {
width: 100%;
min-height: 58px;
display: grid;
grid-template-columns: auto minmax(0, 1fr) auto;
align-items: center;
gap: 10px;
padding: 10px;
border: 1px solid #e5edf5;
border-radius: 8px;
background: #fff;
text-align: left;
}
.file-item.active {
border-color: rgba(15, 118, 110, 0.38);
background: #f0fdfa;
box-shadow: 0 0 0 3px rgba(15, 118, 110, 0.08);
}
.file-item > i {
color: #334155;
font-size: 24px;
}
.file-copy {
min-width: 0;
display: grid;
gap: 3px;
}
.file-copy strong,
.file-copy small {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.file-copy strong {
color: #0f172a;
font-size: 13px;
}
.file-copy small {
color: #64748b;
font-size: 12px;
}
.mini-status,
.status-chip {
display: inline-flex;
align-items: center;
justify-content: center;
min-height: 24px;
padding: 0 8px;
border-radius: 999px;
font-size: 12px;
font-weight: 800;
white-space: nowrap;
}
.mini-status.success,
.status-chip.success {
background: #dcfce7;
color: #166534;
}
.mini-status.warning,
.status-chip.warning {
background: #fef3c7;
color: #92400e;
}
.mini-status.danger,
.status-chip.danger {
background: #fee2e2;
color: #991b1b;
}
.mini-status.muted,
.status-chip.muted {
background: #eef2f7;
color: #475569;
}
.file-detail {
min-width: 0;
display: grid;
align-content: start;
gap: 12px;
}
.detail-topline {
display: flex;
justify-content: space-between;
gap: 14px;
padding-bottom: 10px;
border-bottom: 1px solid #e5edf5;
}
.detail-topline h4 {
margin: 0;
color: #0f172a;
font-size: 16px;
}
.detail-topline p {
margin: 5px 0 0;
color: #64748b;
font-size: 12px;
}
.detail-stats {
display: grid;
grid-template-columns: repeat(4, minmax(0, 1fr));
gap: 8px;
}
.detail-stats div {
min-width: 0;
display: grid;
gap: 4px;
padding: 10px;
border-radius: 8px;
background: #f8fafc;
}
.detail-stats span {
color: #64748b;
font-size: 12px;
}
.detail-stats strong {
color: #0f172a;
font-size: 13px;
}
.error-note {
margin: 0;
padding: 10px 12px;
border: 1px solid #fecaca;
border-radius: 8px;
background: #fff1f2;
color: #991b1b;
font-size: 13px;
}
.detail-section-grid,
.graph-grid {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 12px;
}
.detail-section,
.graph-section,
.graph-pane {
min-width: 0;
display: grid;
gap: 10px;
align-content: start;
}
.section-head {
display: flex;
align-items: center;
justify-content: space-between;
gap: 10px;
}
.section-head h4,
.section-head h5,
.graph-pane h5 {
margin: 0;
color: #0f172a;
font-size: 14px;
}
.section-head span {
color: #64748b;
font-size: 12px;
font-weight: 700;
}
.chunk-list,
.section-list,
.event-list,
.relation-list {
display: grid;
gap: 8px;
}
.chunk-row,
.section-row,
.event-row,
.relation-row {
min-width: 0;
border: 1px solid #e5edf5;
border-radius: 8px;
background: #fff;
}
.chunk-row {
display: grid;
grid-template-columns: auto minmax(0, 1fr) auto;
gap: 10px;
padding: 10px;
}
.chunk-index {
color: #2563eb;
font-size: 12px;
font-weight: 850;
}
.chunk-row strong,
.section-row strong,
.event-row strong,
.relation-row strong {
color: #0f172a;
font-size: 12px;
}
.chunk-row p,
.section-row p,
.event-row p {
margin: 4px 0 0;
color: #64748b;
font-size: 12px;
line-height: 1.55;
}
.chunk-row small {
color: #64748b;
font-size: 11px;
white-space: nowrap;
}
.section-row {
padding: 10px;
}
.event-row {
display: grid;
grid-template-columns: auto minmax(0, 1fr);
gap: 10px;
padding: 10px;
}
.event-row > span {
width: 8px;
height: 8px;
margin-top: 5px;
border-radius: 999px;
background: #2563eb;
}
.event-row.error > span {
background: #dc2626;
}
.entity-cloud {
display: flex;
flex-wrap: wrap;
gap: 8px;
}
.entity-cloud span {
max-width: 100%;
padding: 5px 9px;
border: 1px solid #bfdbfe;
border-radius: 999px;
background: #eff6ff;
color: #1d4ed8;
font-size: 12px;
font-weight: 750;
}
.relation-row {
display: grid;
grid-template-columns: minmax(0, 1fr) auto minmax(0, 1fr) auto;
align-items: center;
gap: 8px;
padding: 9px 10px;
}
.relation-row strong {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.relation-row i {
color: #0f766e;
font-size: 18px;
}
.relation-row span {
padding: 3px 7px;
border-radius: 999px;
background: #f1f5f9;
color: #475569;
font-size: 11px;
}
.compact-empty {
min-height: 42px;
display: grid;
place-items: center;
border: 1px dashed #cbd5e1;
border-radius: 8px;
color: #64748b;
font-size: 12px;
}
@media (max-width: 980px) {
.metric-strip,
.detail-stats,
.detail-section-grid,
.graph-grid,
.ingest-workspace {
grid-template-columns: 1fr;
}
.file-rail {
max-height: 260px;
overflow: auto;
.knowledge-ingest-panel {
height: clamp(1460px, calc(100dvh + 840px), 1840px);
min-height: 1460px;
}
}
@media (max-width: 620px) {
.ingest-head,
.detail-topline {
.ingest-head {
flex-direction: column;
}
@@ -711,17 +134,9 @@ function formatEventTime(value) {
height: 64px;
}
.file-item {
grid-template-columns: auto minmax(0, 1fr);
}
.mini-status {
grid-column: 2;
justify-self: start;
}
.relation-row {
grid-template-columns: 1fr;
.knowledge-ingest-panel {
height: clamp(1520px, calc(100dvh + 900px), 1900px);
min-height: 1520px;
}
}
</style>

415
web/src/components/logs/useKnowledgeIngestGraph.js Normal file
View File

@@ -0,0 +1,415 @@
import { computed, ref, watch } from 'vue'
const MAX_VISIBLE_NODES = 72
const MAX_VISIBLE_EDGES = 180
const MAX_RELATION_PREVIEW = 40
const NODE_TONES = {
hub: {
fill: '#2563eb',
stroke: '#dbeafe',
halo: '#93c5fd',
shadow: 'rgba(37, 99, 235, 0.20)'
},
strong: {
fill: '#0f766e',
stroke: '#ccfbf1',
halo: '#5eead4',
shadow: 'rgba(15, 118, 110, 0.18)'
},
accent: {
fill: '#d97706',
stroke: '#fef3c7',
halo: '#fbbf24',
shadow: 'rgba(217, 119, 6, 0.16)'
},
normal: {
fill: '#4f46e5',
stroke: '#e0e7ff',
halo: '#a5b4fc',
shadow: 'rgba(79, 70, 229, 0.16)'
},
muted: {
fill: '#64748b',
stroke: '#e2e8f0',
halo: '#cbd5e1',
shadow: 'rgba(100, 116, 139, 0.12)'
}
}
export function useKnowledgeIngestGraph(props) {
const graphQuery = ref('')
const activeNodeId = ref('')
const allRelations = computed(() => normalizeRelations(props.graph?.relations))
const rankedNodes = computed(() => buildRankedNodes(props.graph, allRelations.value))
const visibleNodes = computed(() => {
const query = graphQuery.value.toLowerCase()
return rankedNodes.value.slice(0, MAX_VISIBLE_NODES).map((node, index) => ({
...node,
rank: index + 1,
matchesQuery: query ? node.name.toLowerCase().includes(query) : true
}))
})
const visibleNodeNameSet = computed(() => new Set(visibleNodes.value.map((node) => node.name)))
const visibleRelations = computed(() =>
allRelations.value
.filter(
(relation) =>
visibleNodeNameSet.value.has(relation.source) && visibleNodeNameSet.value.has(relation.target)
)
.slice(0, MAX_VISIBLE_EDGES)
)
const nodeIdByName = computed(() =>
new Map(visibleNodes.value.map((node) => [node.name, node.id]))
)
const selectedNode = computed(() => {
if (!visibleNodes.value.length) return null
return visibleNodes.value.find((node) => node.id === activeNodeId.value) || visibleNodes.value[0]
})
const selectedNodeRelations = computed(() => {
if (!selectedNode.value) return []
return allRelations.value
.filter(
(relation) =>
relation.source === selectedNode.value.name || relation.target === selectedNode.value.name
)
.slice(0, MAX_RELATION_PREVIEW)
})
const selectedNodeIncoming = computed(() =>
selectedNodeRelations.value.filter((relation) => relation.target === selectedNode.value?.name)
)
const selectedNodeOutgoing = computed(() =>
selectedNodeRelations.value.filter((relation) => relation.source === selectedNode.value?.name)
)
const graphData = computed(() => ({
nodes: visibleNodes.value.map((node) => toG6Node(node)),
edges: visibleRelations.value
.map((relation, index) => toG6Edge(relation, index, nodeIdByName.value))
.filter(Boolean)
}))
const graphSummary = computed(() => ({
entityCount: formatNumber(resolveCount(props.graph?.entityCount, props.graph?.entity_count, rankedNodes.value.length)),
relationCount: formatNumber(resolveCount(props.graph?.relationCount, props.graph?.relation_count, allRelations.value.length)),
visibleNodeCount: formatNumber(visibleNodes.value.length),
visibleEdgeCount: formatNumber(visibleRelations.value.length)
}))
watch(
visibleNodes,
(nextNodes) => {
if (!nextNodes.length) {
activeNodeId.value = ''
return
}
if (!nextNodes.some((node) => node.id === activeNodeId.value)) {
activeNodeId.value = nextNodes[0].id
}
},
{ immediate: true }
)
function selectNodeById(nodeId) {
const matchedNode = visibleNodes.value.find((node) => node.id === nodeId)
if (!matchedNode) return ''
activeNodeId.value = matchedNode.id
return matchedNode.id
}
function focusFirstMatch() {
const matchedNode = visibleNodes.value.find((node) => node.matchesQuery)
if (!matchedNode) return ''
activeNodeId.value = matchedNode.id
return matchedNode.id
}
function selectRelationPeer(relation) {
if (!selectedNode.value) return ''
const peerName = relation.source === selectedNode.value.name ? relation.target : relation.source
const peerId = nodeIdByName.value.get(peerName)
if (!peerId) return ''
activeNodeId.value = peerId
return peerId
}
return {
activeNodeId,
graphData,
graphQuery,
graphSummary,
selectNodeById,
focusFirstMatch,
selectRelationPeer,
selectedNode,
selectedNodeIncoming,
selectedNodeOutgoing,
selectedNodeRelations,
truncateText,
visibleNodes,
visibleRelations
}
}
function buildRankedNodes(graph, relations) {
const degreeMap = new Map()
for (const relation of relations) {
degreeMap.set(relation.source, (degreeMap.get(relation.source) || 0) + 1)
degreeMap.set(relation.target, (degreeMap.get(relation.target) || 0) + 1)
}
const byName = new Map()
for (const entity of normalizeEntities(graph?.entities)) {
byName.set(entity.name, entity)
}
for (const relation of relations) {
if (!byName.has(relation.source)) byName.set(relation.source, { name: relation.source, type: '关系实体' })
if (!byName.has(relation.target)) byName.set(relation.target, { name: relation.target, type: '关系实体' })
}
return [...byName.values()]
.map((entity) => ({
...entity,
id: toNodeId(entity.name),
degree: degreeMap.get(entity.name) || 0
}))
.sort((left, right) => {
const degreeDelta = right.degree - left.degree
if (degreeDelta !== 0) return degreeDelta
return left.name.localeCompare(right.name, 'zh-CN')
})
}
function toG6Node(node) {
const tone = resolveNodeTone(node)
const palette = NODE_TONES[tone]
const size = clamp(34 + Math.sqrt(Math.max(node.degree, 1)) * 13, 38, node.rank === 1 ? 82 : 70)
const opacity = node.matchesQuery ? 1 : 0.24
return {
id: node.id,
data: {
name: node.name,
type: node.type || '实体',
description: node.description || '',
descriptions: node.descriptions || [],
properties: node.properties || {},
labels: node.labels || [],
degree: node.degree,
rank: node.rank,
matchesQuery: node.matchesQuery,
tone
},
style: {
size,
fill: palette.fill,
stroke: palette.stroke,
lineWidth: 2,
opacity,
shadowColor: palette.shadow,
shadowBlur: 14,
label: true,
labelText: truncateText(node.name, node.rank === 1 ? 16 : 12),
labelFill: '#0f172a',
labelFontSize: node.rank === 1 ? 13 : 12,
labelFontWeight: 850,
labelPlacement: 'bottom',
labelOffsetY: 10,
labelBackground: true,
labelBackgroundFill: 'rgba(255, 255, 255, 0.94)',
labelBackgroundStroke: 'rgba(203, 213, 225, 0.95)',
labelBackgroundLineWidth: 1,
labelBackgroundRadius: 4,
labelBackgroundPadding: [2, 6],
halo: true,
haloStroke: palette.halo,
haloLineWidth: 10,
haloStrokeOpacity: 0.16,
badge: node.degree > 0,
badges: [
{
text: String(node.degree),
placement: 'right-top',
fill: 'rgba(255, 255, 255, 0.94)',
stroke: 'rgba(37, 99, 235, 0.28)',
color: '#1e293b',
fontSize: 10,
padding: [2, 5]
}
]
},
states: node.matchesQuery ? [] : ['dimmed']
}
}
function toG6Edge(relation, index, nodeIdByName) {
const sourceId = nodeIdByName.get(relation.source)
const targetId = nodeIdByName.get(relation.target)
if (!sourceId || !targetId || sourceId === targetId) return null
const weight = clamp(Number(relation.weight || relation.confidence || 1), 1, 6)
return {
id: `edge-${index}-${sourceId}-${targetId}`,
source: sourceId,
target: targetId,
data: {
sourceName: relation.source,
targetName: relation.target,
type: relation.type,
description: relation.description || '',
keywords: relation.keywords || [],
properties: relation.properties || {},
weight
},
style: {
stroke: 'rgba(37, 99, 235, 0.34)',
lineWidth: clamp(1 + weight * 0.22, 1.2, 2.6),
opacity: 0.9,
endArrow: true,
endArrowSize: 8,
label: index < 42,
labelText: truncateText(relation.type, 10),
labelFill: '#0f172a',
labelFontSize: 10,
labelFontWeight: 800,
labelBackground: true,
labelBackgroundFill: 'rgba(255, 255, 255, 0.94)',
labelBackgroundStroke: 'rgba(203, 213, 225, 0.95)',
labelBackgroundLineWidth: 1,
labelBackgroundRadius: 5,
labelBackgroundPadding: [2, 5]
},
states: []
}
}
function resolveNodeTone(node) {
if (node.rank === 1 || node.degree >= 6) return 'hub'
if (node.degree >= 4) return 'strong'
if (node.degree >= 2 && node.rank % 3 === 0) return 'accent'
if (node.degree === 0) return 'muted'
return 'normal'
}
function normalizeRelations(rawRelations) {
if (!Array.isArray(rawRelations)) return []
const seen = new Set()
return rawRelations
.map((relation) => ({
source: String(relation?.source || relation?.from || relation?.head || '').trim(),
target: String(relation?.target || relation?.to || relation?.tail || '').trim(),
type: String(relation?.type || relation?.relation || relation?.label || '关联').trim(),
description: String(relation?.description || '').trim(),
keywords: dedupeTextList(relation?.keywords || []),
properties: normalizeProperties(relation?.properties),
weight: relation?.weight ?? relation?.confidence ?? 1
}))
.filter((relation) => relation.source && relation.target)
.filter((relation) => {
const key = `${relation.source}\u0000${relation.target}\u0000${relation.type}`
if (seen.has(key)) return false
seen.add(key)
return true
})
}
function normalizeEntities(rawEntities) {
if (!Array.isArray(rawEntities)) return []
const seen = new Set()
return rawEntities
.map((entity) => {
if (typeof entity === 'string') {
return {
name: entity.trim(),
type: '实体',
description: '',
descriptions: [],
properties: {},
labels: []
}
}
return {
name: String(
entity?.name || entity?.entity || entity?.entity_id || entity?.title || entity?.id || ''
).trim(),
type: String(entity?.type || entity?.entity_type || entity?.category || entity?.kind || '实体').trim(),
description: String(entity?.description || '').trim(),
descriptions: normalizeDescriptions(entity),
properties: normalizeProperties(entity?.properties),
labels: dedupeTextList(entity?.labels || [])
}
})
.filter((entity) => entity.name)
.filter((entity) => {
if (seen.has(entity.name)) return false
seen.add(entity.name)
return true
})
}
function toNodeId(value) {
const text = String(value || '').trim()
let hash = 0
for (let index = 0; index < text.length; index += 1) {
hash = (hash << 5) - hash + text.charCodeAt(index)
hash |= 0
}
return `node-${Math.abs(hash).toString(36)}`
}
function normalizeDescriptions(entity) {
const descriptions = dedupeTextList(entity?.descriptions)
if (descriptions.length) return descriptions
const description = String(entity?.description || '').trim()
return description ? [description] : []
}
function normalizeProperties(rawProperties) {
if (!rawProperties || typeof rawProperties !== 'object' || Array.isArray(rawProperties)) {
return {}
}
const hiddenKeys = new Set(['source_id', 'file_path', 'truncate'])
return Object.fromEntries(
Object.entries(rawProperties)
.filter(([key, value]) => !hiddenKeys.has(key) && String(value || '').trim())
.map(([key, value]) => [key, String(value).trim()])
)
}
function truncateText(value, maxLength) {
const text = String(value || '').trim()
if (text.length <= maxLength) return text
return `${text.slice(0, maxLength - 1)}...`
}
function resolveCount(...values) {
for (const value of values) {
const number = Number(value)
if (Number.isFinite(number) && number >= 0) return number
}
return 0
}
function formatNumber(value) {
return new Intl.NumberFormat('zh-CN').format(resolveCount(value))
}
function dedupeTextList(items) {
const result = []
const seen = new Set()
const sourceItems = Array.isArray(items)
? items
: String(items || '')
.split('<SEP>')
.filter(Boolean)
for (const item of sourceItems) {
const text = String(item || '').trim()
if (!text || seen.has(text)) continue
seen.add(text)
result.push(text)
}
return result
}
function clamp(value, min, max) {
return Math.max(min, Math.min(max, value))
}

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web/src/components/shared/RiskRuleFlowDiagram.vue Normal file
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<template>
<section class="risk-rule-flow-figure" aria-label="风险规则流程说明" :style="accentStyle">
<div class="risk-rule-flow-content">
<aside class="risk-rule-flow-explainer">
<div class="risk-rule-section-title risk-rule-flow-copy-head">
<strong>流程解释</strong>
<span>{{ flowModel.severityLabel }}</span>
</div>
<ol class="risk-rule-flow-steps" aria-label="文字流程说明">
<li v-for="(item, index) in flowSteps" :key="item.title">
<span class="risk-rule-step-index">{{ index + 1 }}</span>
<div>
<strong>{{ item.title }}</strong>
<p>{{ item.text }}</p>
<div v-if="item.fields?.length" class="risk-rule-field-list">
<span v-for="field in item.fields" :key="field">{{ field }}</span>
</div>
</div>
</li>
</ol>
<div class="risk-rule-flow-branches" aria-label="是或否分支">
<div v-for="item in flowBranches" :key="item.answer" class="risk-rule-flow-branch">
<span class="risk-rule-branch-answer" :class="`answer-${item.tone}`">
{{ item.answer }}
</span>
<div>
<strong>{{ item.title }}</strong>
<p>{{ item.text }}</p>
</div>
</div>
</div>
</aside>
<div class="risk-rule-flow-visual">
<div class="risk-rule-section-title risk-rule-flow-visual-title">
<strong>流程图</strong>
</div>
<img
v-if="src"
class="risk-rule-flow-image"
:src="src"
alt="风险规则流程说明"
draggable="false"
/>
<div
v-else
class="risk-rule-flow-svg"
role="img"
aria-label="风险规则流程说明"
v-html="displaySvg"
></div>
</div>
</div>
</section>
</template>
<script setup>
import { computed } from 'vue'
const props = defineProps({
svg: { type: String, default: '' },
src: { type: String, default: '' },
flow: { type: Object, default: () => ({}) },
fields: { type: Array, default: () => [] },
severity: { type: String, default: 'medium' },
severityLabel: { type: String, default: '中风险' }
})
const FONT =
"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica Neue, 'PingFang SC', 'Microsoft YaHei', 'Microsoft JhengHei', 'SimHei', sans-serif"
const TEXT = '#0d0d0d'
const MUTED = '#6e6e80'
const NEUTRAL_LINE = '#cbd5e1'
const NEUTRAL_BORDER = '#e2e8f0'
const PALETTES = {
low: {
accent: '#2563eb',
accentDark: '#1d4ed8',
border: '#bfdbfe',
surface: '#eff6ff'
},
medium: {
accent: '#f97316',
accentDark: '#c2410c',
border: '#fed7aa',
surface: '#fff7ed'
},
high: {
accent: '#dc2626',
accentDark: '#b91c1c',
border: '#fecaca',
surface: '#fef2f2'
}
}
function normalizeText(value, fallback = '') {
return String(value || fallback || '').trim()
}
function escapeSvg(value) {
return normalizeText(value)
.replace(/&/g, '&amp;')
.replace(/</g, '&lt;')
.replace(/>/g, '&gt;')
.replace(/"/g, '&quot;')
}
function isSafeSvg(value) {
const text = normalizeText(value)
if (!text.startsWith('<svg') || !text.endsWith('</svg>')) {
return false
}
return !/(<script|<foreignObject|<iframe|<object|<embed|\son\w+=|javascript:)/i.test(text)
}
function isCurrentDisplaySvg(value) {
return isSafeSvg(value) && value.includes('data-risk-flow-style="review-node-only"')
}
function resolvePalette(severity) {
return PALETTES[normalizeText(severity).toLowerCase()] || PALETTES.medium
}
function formatFieldDisplay(item) {
const key = normalizeText(item?.key)
const label = normalizeText(item?.label || key)
if (label && key && label !== key) {
return `${label}[${key}]`
}
return label || key
}
function wrapText(value, width, maxLines) {
const text = normalizeText(value)
if (!text) {
return ['']
}
const lines = []
for (let index = 0; index < text.length; index += width) {
lines.push(text.slice(index, index + width))
}
if (lines.length > maxLines) {
return [...lines.slice(0, maxLines - 1), `${lines[maxLines - 1].slice(0, width - 1)}…`]
}
return lines
}
function textLines(lines, x, y, anchor = 'middle', color = MUTED, fontSize = 13) {
return lines
.map(
(line, index) =>
`<text x="${x}" y="${y + index * (fontSize + 5)}" text-anchor="${anchor}" fill="${color}" font-family="${FONT}" font-size="${fontSize}" font-weight="400">${escapeSvg(line)}</text>`
)
.join('')
}
function node(title, body, x, y, width, height, currentPalette = null) {
const border = currentPalette?.border || NEUTRAL_BORDER
const stripe = currentPalette?.accent || NEUTRAL_LINE
const surface = currentPalette?.surface || '#ffffff'
return `<g>
<rect x="${x}" y="${y}" width="${width}" height="${height}" rx="7" ry="7" fill="${surface}" stroke="${border}" stroke-width="1.2"/>
<rect x="${x}" y="${y}" width="3.5" height="${height}" rx="1.75" ry="1.75" fill="${stripe}"/>
<text x="${x + width / 2}" y="${y + 24}" text-anchor="middle" fill="${TEXT}" font-family="${FONT}" font-size="13" font-weight="600">${escapeSvg(title)}</text>
${textLines(wrapText(body, width <= 126 ? 10 : 11, 1), x + width / 2, y + 43, 'middle', MUTED, 11)}
</g>`
}
function diamond(title, body, x, y, width, height) {
const cx = x + width / 2
const cy = y + height / 2
const points = `${cx},${y} ${x + width},${cy} ${cx},${y + height} ${x},${cy}`
return `<g>
<polygon points="${points}" fill="#ffffff" stroke="${NEUTRAL_BORDER}" stroke-width="1.25"/>
<text x="${cx}" y="${cy - 10}" text-anchor="middle" fill="${TEXT}" font-family="${FONT}" font-size="12.5" font-weight="600">${escapeSvg(title)}</text>
${textLines(wrapText(body, 8, 2), cx, cy + 11, 'middle', MUTED, 10.2)}
</g>`
}
function note(body) {
return `<g>
<rect x="214" y="218" width="290" height="36" rx="7" ry="7" fill="#ffffff" stroke="${NEUTRAL_BORDER}" stroke-width="1" stroke-dasharray="4,3"/>
<text x="226" y="240" fill="${MUTED}" font-family="${FONT}" font-size="10" font-weight="500">BASIS</text>
${textLines(wrapText(body, 22, 1), 268, 240, 'start', TEXT, 10.2)}
</g>`
}
const palette = computed(() => resolvePalette(props.severity))
const accentStyle = computed(() => ({
'--risk-flow-accent': palette.value.accent,
'--risk-flow-accent-dark': palette.value.accentDark,
'--risk-flow-border': palette.value.border,
'--risk-flow-surface': palette.value.surface
}))
const fieldDisplays = computed(() =>
(Array.isArray(props.fields) ? props.fields : []).map(formatFieldDisplay).filter(Boolean)
)
const fieldSummary = computed(() => {
const fields = fieldDisplays.value
if (!fields.length) {
return '规则字段'
}
if (fields.length <= 4) {
return fields.join('、')
}
return `${fields.slice(0, 4).join('、')} 等 ${fields.length} 项字段`
})
const flowModel = computed(() => {
const severityLabel = normalizeText(props.severityLabel, '中风险')
return {
severityLabel,
start: normalizeText(props.flow?.start, '业务单据提交'),
evidence: normalizeText(props.flow?.evidence, '读取规则字段'),
decision: normalizeText(props.flow?.decision, '判断是否命中风险'),
basis: normalizeText(props.flow?.basis || props.flow?.decision, '根据规则字段判断是否命中风险'),
pass: normalizeText(props.flow?.pass, '未命中风险，继续流转'),
fail: normalizeText(props.flow?.fail, `命中${severityLabel}，进入人工复核`)
}
})
const flowSteps = computed(() => [
{
title: '业务输入',
text: flowModel.value.start
},
{
title: '字段取数',
text: `读取规则所需字段，并将字段证据送入判断节点。字段：${fieldSummary.value}`,
fields: fieldDisplays.value
},
{
title: '判断依据',
text: flowModel.value.basis || flowModel.value.decision
}
])
const flowBranches = computed(() => [
{
answer: '否',
tone: 'pass',
title: '不命中风险',
text: flowModel.value.pass
},
{
answer: '是',
tone: 'risk',
title: `命中${flowModel.value.severityLabel}`,
text: flowModel.value.fail
}
])
const displaySvg = computed(() => {
const providedSvg = normalizeText(props.svg)
if (isCurrentDisplaySvg(providedSvg)) {
return providedSvg
}
const flow = flowModel.value
const currentPalette = palette.value
return `<svg xmlns="http://www.w3.org/2000/svg" width="760" height="280" viewBox="0 0 760 280" data-risk-flow-style="review-node-only" role="img" aria-label="风险规则流程说明">
<defs>
<marker id="arrow-neutral" markerWidth="10" markerHeight="7" refX="9" refY="3.5" orient="auto">
<polygon points="0 0, 10 3.5, 0 7" fill="${NEUTRAL_LINE}"/>
</marker>
</defs>
<rect width="760" height="280" fill="#ffffff"/>
<rect x="18" y="18" width="724" height="244" rx="8" ry="8" fill="none" stroke="${NEUTRAL_BORDER}" stroke-width="1" stroke-dasharray="4,3"/>
<text x="34" y="43" fill="${MUTED}" font-family="${FONT}" font-size="11" font-weight="500">RULE FLOW</text>
${node('业务输入', flow.start, 48, 118, 124, 60)}
${node('字段取数', '读取字段证据', 214, 118, 132, 60)}
${diamond('判断依据', flow.decision, 392, 92, 112, 112)}
${node('继续流转', flow.pass, 562, 74, 126, 60)}
${node('进入复核', flow.fail, 562, 190, 126, 62, currentPalette)}
${note(flow.basis)}
<line x1="172" y1="148" x2="214" y2="148" stroke="${NEUTRAL_LINE}" stroke-width="1.45" marker-end="url(#arrow-neutral)"/>
<line x1="346" y1="148" x2="392" y2="148" stroke="${NEUTRAL_LINE}" stroke-width="1.45" marker-end="url(#arrow-neutral)"/>
<path d="M 504 127 L 532 127 L 532 104 L 562 104" fill="none" stroke="${NEUTRAL_LINE}" stroke-width="1.35" marker-end="url(#arrow-neutral)"/>
<text x="534" y="119" text-anchor="middle" fill="${MUTED}" font-family="${FONT}" font-size="10.5" font-weight="400">否</text>
<path d="M 504 169 L 532 169 L 532 221 L 562 221" fill="none" stroke="${NEUTRAL_LINE}" stroke-width="1.8" marker-end="url(#arrow-neutral)"/>
<text x="534" y="195" text-anchor="middle" fill="${MUTED}" font-family="${FONT}" font-size="10.5" font-weight="600">是</text>
</svg>`
})
</script>
<style scoped>
.risk-rule-flow-figure {
width: 100%;
min-height: 0;
overflow: hidden;
border: 1px solid #e2e8f0;
border-radius: 8px;
background: #ffffff;
padding: 14px;
cursor: default;
}
.risk-rule-flow-content {
width: 100%;
display: grid;
grid-template-columns: minmax(260px, 0.78fr) minmax(0, 1.22fr);
gap: 16px;
align-items: start;
}
.risk-rule-flow-explainer {
min-width: 0;
align-self: stretch;
display: flex;
flex-direction: column;
gap: 12px;
padding-right: 16px;
border-right: 1px solid #e2e8f0;
}
.risk-rule-section-title {
min-height: 24px;
display: flex;
align-items: center;
width: 100%;
line-height: 1.4;
}
.risk-rule-flow-copy-head {
justify-content: space-between;
gap: 10px;
}
.risk-rule-section-title strong {
color: #0f172a;
font-size: 14px;
font-weight: 850;
line-height: 1.4;
}
.risk-rule-flow-copy-head span {
color: var(--risk-flow-accent-dark);
font-size: 12px;
font-weight: 800;
}
.risk-rule-flow-steps {
display: grid;
gap: 11px;
margin: 0;
padding: 0;
list-style: none;
}
.risk-rule-flow-steps li,
.risk-rule-flow-branch {
min-width: 0;
display: grid;
grid-template-columns: 26px minmax(0, 1fr);
gap: 8px;
align-items: start;
}
.risk-rule-step-index,
.risk-rule-branch-answer {
width: 24px;
height: 24px;
display: grid;
place-items: center;
border-radius: 999px;
font-size: 12px;
font-weight: 800;
}
.risk-rule-step-index,
.answer-pass {
background: #f8fafc;
color: #64748b;
border: 1px solid #e2e8f0;
}
.answer-risk {
background: var(--risk-flow-surface);
color: var(--risk-flow-accent-dark);
border: 1px solid var(--risk-flow-border);
}
.risk-rule-flow-steps strong,
.risk-rule-flow-branch strong {
display: block;
color: #111827;
font-size: 12.5px;
font-weight: 800;
line-height: 1.35;
}
.risk-rule-flow-explainer p {
margin: 4px 0 0;
color: #475569;
font-size: 12px;
line-height: 1.55;
overflow-wrap: anywhere;
}
.risk-rule-field-list {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-top: 8px;
}
.risk-rule-field-list span {
max-width: 100%;
padding: 3px 7px;
border: 1px solid #e2e8f0;
border-radius: 999px;
background: #f8fafc;
color: #334155;
font-size: 11px;
line-height: 1.4;
overflow-wrap: anywhere;
}
.risk-rule-flow-branches {
display: grid;
gap: 10px;
padding-top: 12px;
border-top: 1px solid #e2e8f0;
}
.risk-rule-flow-visual {
min-width: 0;
display: grid;
gap: 8px;
place-items: center;
overflow: hidden;
}
.risk-rule-flow-visual-title {
justify-self: start;
justify-content: flex-start;
}
.risk-rule-flow-image,
.risk-rule-flow-svg {
width: min(760px, 100%);
display: block;
pointer-events: none;
user-select: none;
}
.risk-rule-flow-image {
height: auto;
object-fit: contain;
}
.risk-rule-flow-svg :deep(svg) {
width: 100%;
height: auto;
display: block;
}
.risk-rule-flow-svg :deep(*) {
pointer-events: none !important;
user-select: none;
}
@media (max-width: 980px) {
.risk-rule-flow-content {
grid-template-columns: 1fr;
}
.risk-rule-flow-explainer {
padding-right: 0;
padding-bottom: 12px;
border-right: 0;
border-bottom: 1px solid #e2e8f0;
}
}
@media (max-width: 760px) {
.risk-rule-flow-figure {
padding: 10px;
}
}
</style>

10
web/src/services/agentAssets.js
View File

@@ -144,6 +144,16 @@ export function saveAgentAssetRuleJson(assetId, payload, options = {}) {
})
}
export function generateRiskRuleAsset(payload, options = {}) {
return apiRequest('/agent-assets/risk-rules/generate', {
method: 'POST',
body: JSON.stringify(payload),
headers: buildWriteHeaders(options),
timeoutMs: options.timeoutMs || 60000,
timeoutMessage: '风险规则生成时间较长，请稍后查看是否已生成草稿。'
})
}
export function fetchAgentAssetSpreadsheetChangeRecords(assetId, limit = 30) {
return apiRequest(
`/agent-assets/${assetId}/spreadsheet/change-records${buildQuery({ limit })}`

9
web/src/utils/archiveCenterListFilters.js
View File

@@ -110,14 +110,14 @@ export function buildTypeFilterOptions(rows) {
const typeMap = new Map()
for (const row of rows) {
const value = String(row?.typeCode || 'other').trim() || 'other'
const value = String(row?.archiveTypeCode || row?.typeCode || 'other').trim() || 'other'
if (!typeMap.has(value)) {
typeMap.set(value, String(row?.type || row?.typeLabel || value).trim() || value)
typeMap.set(value, String(row?.archiveType || row?.type || row?.typeLabel || value).trim() || value)
}
}
return [
{ value: ARCHIVE_FILTER_ALL, label: '全部类型' },
{ value: ARCHIVE_FILTER_ALL, label: '全部归档类型' },
...Array.from(typeMap.entries())
.sort((left, right) => left[1].localeCompare(right[1], 'zh-CN'))
.map(([value, label]) => ({ value, label }))
@@ -176,7 +176,7 @@ export function applyArchiveListFilters(rows, filters) {
}
if (filters.type && filters.type !== ARCHIVE_FILTER_ALL) {
filteredRows = filteredRows.filter((row) => String(row.typeCode || '').trim() === filters.type)
filteredRows = filteredRows.filter((row) => String(row.archiveTypeCode || row.typeCode || '').trim() === filters.type)
}
if (filters.department && filters.department !== ARCHIVE_FILTER_ALL) {
@@ -193,6 +193,7 @@ export function applyArchiveListFilters(rows, filters) {
String(row.id || '').toLowerCase().includes(keyword)
|| String(row.applicant || '').toLowerCase().includes(keyword)
|| String(row.department || '').toLowerCase().includes(keyword)
|| String(row.archiveType || '').toLowerCase().includes(keyword)
|| String(row.type || '').toLowerCase().includes(keyword)
|| String(row.amount || '').toLowerCase().includes(keyword)
|| String(row.risk || '').toLowerCase().includes(keyword)

93
web/src/utils/knowledgeIngestLogModel.js
View File

@@ -130,12 +130,14 @@ function normalizeDocument(rawDocument) {
textChars: toNumber(document.text_chars),
indexedTextChars: toNumber(document.indexed_text_chars),
sectionCount: toNumber(document.section_count || sections.length),
sections,
chunkCount: toNumber(document.chunk_count || chunks.length),
chunkIds: normalizeTextList(document.chunk_ids),
chunks,
entityCount: toNumber(document.entity_count || entities.length),
relationCount: toNumber(document.relation_count || relations.length),
entities,
entityChunks: normalizeEntityChunks(document.entity_chunks || document.entityChunks),
relations,
events: normalizeEvents(document.events)
}
@@ -165,7 +167,9 @@ function normalizeProgress(rawProgress, documents) {
function normalizeGraph(rawGraph, documents) {
const graph = asObject(rawGraph)
const fallbackEntities = dedupeTextList(documents.flatMap((item) => item.entities))
const graphEntities = normalizeEntities(graph.entities)
const fallbackEntities = dedupeEntities(documents.flatMap((item) => item.entities))
const graphRelations = normalizeRelations(graph.relations)
const fallbackRelations = dedupeRelations(documents.flatMap((item) => item.relations))
return {
chunkCount: toNumber(
@@ -177,12 +181,8 @@ function normalizeGraph(rawGraph, documents) {
relationCount: toNumber(
graph.relation_count || documents.reduce((total, item) => total + item.relationCount, 0)
),
entities: normalizeTextList(graph.entities).length
? normalizeTextList(graph.entities)
: fallbackEntities,
relations: normalizeRelations(graph.relations).length
? normalizeRelations(graph.relations)
: fallbackRelations
entities: graphEntities.length ? graphEntities : fallbackEntities,
relations: graphRelations.length ? graphRelations : fallbackRelations
}
}
@@ -195,12 +195,28 @@ function normalizeChunks(rawChunks) {
id: String(item.id || item._id || `chunk-${index + 1}`).trim(),
order: toNumber(item.order ?? item.chunk_order_index ?? index),
tokens: toNumber(item.tokens),
summary: String(item.summary || item.content || '').trim()
summary: String(item.summary || item.content || '').trim(),
excerpt: String(item.excerpt || item.content_preview || item.summary || item.content || '').trim()
}
})
.sort((left, right) => left.order - right.order)
}
function normalizeEntityChunks(rawItems) {
if (!Array.isArray(rawItems)) return []
const result = []
const seen = new Set()
for (const rawItem of rawItems) {
const item = asObject(rawItem)
const entity = String(item.entity || item.name || '').trim()
const chunkIds = normalizeTextList(item.chunk_ids || item.chunkIds)
if (!entity || !chunkIds.length || seen.has(entity)) continue
seen.add(entity)
result.push({ entity, chunkIds })
}
return result
}
function normalizeSections(rawSections) {
if (!Array.isArray(rawSections)) return []
return rawSections.map((section, index) => {
@@ -225,7 +241,8 @@ function normalizeEvents(rawEvents) {
}
function normalizeEntities(rawEntities) {
return normalizeTextList(rawEntities)
if (!Array.isArray(rawEntities)) return []
return dedupeEntities(rawEntities)
}
function normalizeRelations(rawRelations) {
@@ -236,7 +253,11 @@ function normalizeRelations(rawRelations) {
return {
source: String(item.source || item.from || '').trim(),
target: String(item.target || item.to || '').trim(),
type: String(item.type || '关联').trim()
type: String(item.type || '关联').trim(),
description: String(item.description || '').trim(),
keywords: normalizeTextList(item.keywords),
weight: toNumber(item.weight || item.confidence || 1),
properties: asObject(item.properties)
}
})
.filter((item) => item.source && item.target)
@@ -263,15 +284,22 @@ function asObject(value) {
}
function normalizeTextList(value) {
if (!Array.isArray(value)) return []
return dedupeTextList(value)
if (Array.isArray(value)) return dedupeTextList(value)
return dedupeTextList(
String(value || '')
.split('<SEP>')
.filter(Boolean)
)
}
function dedupeTextList(items) {
const result = []
const seen = new Set()
for (const item of items) {
const text = String(item || '').trim()
const text =
typeof item === 'string'
? item.trim()
: String(item?.name || item?.entity || item?.title || item?.id || '').trim()
if (!text || seen.has(text)) continue
seen.add(text)
result.push(text)
@@ -279,6 +307,43 @@ function dedupeTextList(items) {
return result
}
function dedupeEntities(items) {
const result = []
const seen = new Set()
for (const rawItem of items) {
const item = asObject(rawItem)
const name =
typeof rawItem === 'string'
? rawItem.trim()
: String(
item.name ||
item.entity ||
item.entity_id ||
item.title ||
item.id ||
''
).trim()
if (!name || seen.has(name)) continue
seen.add(name)
const description = String(item.description || '').trim()
const descriptions = normalizeTextList(item.descriptions).length
? normalizeTextList(item.descriptions)
: description
? [description]
: []
result.push({
...item,
name,
type: String(item.type || item.entity_type || item.category || item.kind || '实体').trim(),
description,
descriptions,
properties: asObject(item.properties),
labels: normalizeTextList(item.labels)
})
}
return result
}
function dedupeRelations(items) {
const result = []
const seen = new Set()
@@ -289,7 +354,7 @@ function dedupeRelations(items) {
const key = `${source}::${target}::${type}`
if (!source || !target || seen.has(key)) continue
seen.add(key)
result.push({ source, target, type })
result.push({ ...item, source, target, type })
}
return result
}

6
web/src/views/ArchiveCenterView.vue
View File

@@ -26,7 +26,7 @@
<div class="filter-set">
<div class="list-search">
<i class="mdi mdi-magnify"></i>
<input v-model="listKeyword" type="search" placeholder="搜索单号、申请人、部门、报销类型..." />
<input v-model="listKeyword" type="search" placeholder="搜索单号、申请人、部门、归档类型..." />
</div>
<div
@@ -102,7 +102,7 @@
<th>单号</th>
<th>申请人</th>
<th>申请部门</th>
<th>报销类型</th>
<th>归档类型</th>
<th>金额</th>
<th>提交时间 <i class="mdi mdi-sort"></i></th>
<th>归档节点</th>
@@ -120,7 +120,7 @@
</span>
</td>
<td>{{ row.department }}</td>
<td>{{ row.type }}</td>
<td>{{ row.archiveType }}</td>
<td>{{ row.amount }}</td>
<td>{{ row.time }}</td>
<td>{{ row.node }}</td>

194
web/src/views/AuditView.vue
View File

@@ -13,9 +13,9 @@
<div class="detail-scroll">
<section
v-if="!selectedSkill.usesSpreadsheetRule && !selectedSkill.usesJsonRiskRule"
class="detail-hero panel"
class="detail-hero panel asset-detail-topbar list-toolbar"
>
<div class="hero-title">
<div class="hero-title asset-detail-topbar-main filter-set">
<div class="skill-badge" :class="selectedSkill.badgeTone">{{ selectedSkill.typeLabel }}</div>
<h2>{{ selectedSkill.name }}</h2>
<p>{{ selectedSkill.summary || '当前资产尚未补充说明。' }}</p>
@@ -52,7 +52,7 @@
</div>
</div>
<div class="hero-stats">
<div class="hero-stats asset-detail-topbar-meta toolbar-actions">
<div class="hero-stat">
<span>资产编码</span>
<strong>{{ selectedSkill.code }}</strong>
@@ -82,8 +82,8 @@
<TableLoadingState
v-else-if="detailLoading && selectedSkill.loading"
class="detail-inline-state panel"
variant="detail"
class="detail-loading-state panel"
variant="panel"
title="正在加载资产详情"
message="列表数据已就绪，正在补充版本、审核和运行信息"
icon="mdi mdi-file-document-outline"
@@ -94,8 +94,8 @@
v-else-if="selectedSkill.usesSpreadsheetRule"
class="spreadsheet-editor-shell panel"
>
<header class="spreadsheet-editor-head">
<div class="spreadsheet-editor-title">
<header class="spreadsheet-editor-head asset-detail-topbar list-toolbar">
<div class="spreadsheet-editor-title asset-detail-topbar-main filter-set">
<div class="skill-badge" :class="selectedSkill.badgeTone">{{ selectedSkill.typeLabel }}</div>
<div>
<h2>{{ selectedSkill.name }}</h2>
@@ -103,7 +103,7 @@
</div>
</div>
<div class="spreadsheet-editor-actions">
<div class="spreadsheet-editor-actions asset-detail-topbar-meta toolbar-actions">
<span class="spreadsheet-mode-pill">
{{ selectedSpreadsheetModeLabel }}
</span>
@@ -213,21 +213,27 @@
v-else-if="selectedSkill.usesJsonRiskRule"
class="json-risk-editor-shell panel"
>
<header class="json-risk-editor-head">
<div class="json-risk-editor-title">
<header class="json-risk-editor-head asset-detail-topbar list-toolbar">
<div class="json-risk-editor-title asset-detail-topbar-main filter-set">
<div class="skill-badge" :class="selectedSkill.badgeTone">{{ selectedSkill.typeLabel }}</div>
<div>
<div class="json-risk-head-copy">
<div class="json-risk-head-title-row">
<h2>{{ selectedSkill.name }}</h2>
</div>
<p class="json-risk-head-subtitle">
{{ selectedSkill.riskRuleSubtitle || '平台通用风险规则' }}
</p>
<p v-if="selectedSkill.riskCategory" class="json-risk-head-category">
适用场景：{{ selectedSkill.riskCategory }}
</p>
<div class="json-risk-head-meta">
<span v-if="selectedSkill.riskCategory">适用场景：{{ selectedSkill.riskCategory }}</span>
<span>业务域：{{ selectedSkill.category || '-' }}</span>
<span>最近更新：{{ selectedSkill.updatedAt || '-' }}</span>
</div>
</div>
<div class="json-risk-editor-actions">
<span class="json-risk-mode-pill">JSON 风险规则</span>
</div>
<div class="json-risk-editor-actions asset-detail-topbar-meta toolbar-actions">
<span class="json-risk-mode-pill" :class="selectedSkill.riskRuleSeverity">
{{ selectedSkill.riskRuleSeverityLabel }}
</span>
</div>
</header>
@@ -236,64 +242,34 @@
<article class="detail-card panel json-risk-summary-card">
<div class="card-head">
<div>
<h3>规则摘要</h3>
<p>检查器与字段关系为只读说明，实际判断逻辑由平台代码实现。</p>
<h3>基本信息</h3>
<p>这条规则的业务域、风险等级、创建时间和使用字段。</p>
</div>
</div>
<div v-if="selectedSkill.riskRuleSummary" class="json-risk-summary-grid">
<span><strong>适用场景</strong>{{ selectedSkill.riskCategory || '-' }}</span>
<span><strong>检查器</strong>{{ selectedSkill.riskRuleSummary.evaluator || '-' }}</span>
<span><strong>本体信号</strong>{{ selectedSkill.riskRuleSummary.ontologySignal || '-' }}</span>
<div class="json-risk-summary-grid">
<span><strong>业务域</strong>{{ selectedSkill.category || '-' }}</span>
<span><strong>风险等级</strong>{{ selectedSkill.riskRuleSeverityLabel || '-' }}</span>
<span><strong>适用场景</strong>{{ selectedSkill.riskCategory || selectedSkill.scope || '-' }}</span>
<span><strong>创建时间</strong>{{ selectedSkill.riskRuleCreatedAt || selectedSkill.updatedAt }}</span>
<span><strong>已创建</strong>{{ selectedSkill.riskRuleAgeLabel || '-' }}</span>
<span>
<strong>申报字段</strong>
{{ selectedSkill.riskRuleSummary.inputs?.declared || 'claim.location' }}
<strong>使用字段</strong>
{{ selectedSkill.riskRuleFieldSummary || '-' }}
</span>
<span>
<strong>证据字段</strong>
{{ (selectedSkill.riskRuleSummary.inputs?.evidence || []).join('、') || '-' }}
</span>
</div>
</article>
<article class="detail-card panel json-risk-flow-card">
<div class="card-head">
<div>
<h3>字段关系</h3>
<p>提交报销时从表单与 OCR 组装验审上下文，再执行一致性检查。</p>
</div>
</div>
<div class="json-risk-flow-diagram">
<div class="json-risk-flow-column">
<span class="json-risk-flow-label">输入</span>
<code>claim.location</code>
<code>attachment.cities[]</code>
<code>item.item_location</code>
</div>
<div class="json-risk-flow-arrow">→</div>
<div class="json-risk-flow-column center">
<span class="json-risk-flow-label">检查</span>
<strong>{{ selectedSkill.riskRuleSummary?.evaluator || 'location_consistency' }}</strong>
</div>
<div class="json-risk-flow-arrow">→</div>
<div class="json-risk-flow-column">
<span class="json-risk-flow-label">输出</span>
<code>risk_flags_json</code>
<code>severity / message</code>
</div>
</div>
</article>
<article
v-if="selectedSkill.riskRuleDescription"
v-if="selectedSkill.riskRuleBusinessDescription"
class="detail-card panel json-risk-description-card"
>
<div class="card-head">
<div>
<h3>规则说明</h3>
<p>本条风险规则的业务背景、识别逻辑与适用场景（来自 JSON 契约 description 字段）。</p>
<h3>业务说明</h3>
<p>面向规则制定者和审核人的自然语言说明。</p>
</div>
</div>
<p class="json-risk-description-text">{{ selectedSkill.riskRuleDescription }}</p>
<p class="json-risk-description-text">{{ selectedSkill.riskRuleBusinessDescription }}</p>
<p
v-if="selectedSkill.riskRuleSourceRef"
class="json-risk-description-source"
@@ -302,27 +278,20 @@
</p>
</article>
<article class="detail-card panel json-editor-card">
<article class="detail-card panel json-risk-flow-card">
<div class="card-head">
<div>
<h3>规则 JSON 契约</h3>
<p>保存后写入 server/rules/risk-rules/，提交验审与 Agent 风险问答共用同一检查器。</p>
<h3>判断流程</h3>
<p>规则从业务单据开始，读取字段证据后按判断依据决定是否进入复核。</p>
</div>
</div>
<label class="field">
<span>{{ selectedSkill.ruleDocument?.file_name || `${selectedSkill.code}.json` }}</span>
<textarea
v-model="selectedSkill.riskRuleJsonText"
class="json-editor json-risk-editor"
:class="{ disabled: !canEditMarkdown }"
spellcheck="false"
:readonly="!canEditMarkdown || detailBusy"
></textarea>
</label>
<div class="editor-foot">
<span>请勿在 JSON 中配置公司差标；evaluator 变更需同步发布服务端检查器。</span>
<span>平台内置规则，一般不频繁变更，直接维护 JSON 契约即可。</span>
</div>
<RiskRuleFlowDiagram
:svg="selectedSkill.riskRuleFlowDiagramSvg"
:flow="selectedSkill.riskRuleFlow"
:fields="selectedSkill.riskRuleFields"
:severity="selectedSkill.riskRuleSeverity"
:severity-label="selectedSkill.riskRuleSeverityLabel"
/>
</article>
</section>
</div>
@@ -673,17 +642,7 @@
<span>{{ actionState === 'upload-spreadsheet' ? '导入中...' : '上传表格' }}</span>
</button>
<button
v-else-if="selectedSkillUsesJsonRisk"
class="minor-action"
type="button"
:disabled="!canEditMarkdown || detailBusy"
@click="saveRiskRuleJson"
>
<i class="mdi mdi-content-save-outline"></i>
<span>{{ actionState === 'save-risk-json' ? '保存中...' : '保存 JSON' }}</span>
</button>
<button
v-else-if="!selectedSkill.usesSpreadsheetRule"
v-else-if="!selectedSkill.usesSpreadsheetRule && !selectedSkillUsesJsonRisk"
class="minor-action"
type="button"
:disabled="!canEditMarkdown || detailBusy"
@@ -893,7 +852,12 @@
<span>清空筛选</span>
</button>
<button class="create-btn" type="button" disabled>
<button
class="create-btn"
type="button"
:disabled="!canCreateRiskRule"
@click="openRiskRuleCreateDialog"
>
<i class="mdi mdi-plus"></i>
<span>{{ createButtonLabel }}</span>
</button>
@@ -985,6 +949,58 @@
</article>
</Transition>
<ConfirmDialog
:open="riskRuleCreateOpen"
badge="自然语言规则"
badge-tone="info"
title="新建风险规则"
description="选择业务域和风险等级后，用自然语言描述规则，系统会生成可审核的风险规则草稿。"
cancel-text="取消"
confirm-text="开始生成"
busy-text="生成中..."
confirm-tone="primary"
confirm-icon="mdi mdi-auto-fix"
:busy="riskRuleCreateBusy"
:close-on-mask="!riskRuleCreateBusy"
@close="closeRiskRuleCreateDialog"
@confirm="submitRiskRuleCreate"
>
<div class="risk-rule-create-form">
<label>
<span>业务域</span>
<select v-model="riskRuleCreateForm.business_domain" :disabled="riskRuleCreateBusy">
<option
v-for="option in riskRuleCreateDomainOptions"
:key="option.value"
:value="option.value"
>
{{ option.label }}
</option>
</select>
</label>
<label>
<span>风险等级</span>
<select v-model="riskRuleCreateForm.risk_level" :disabled="riskRuleCreateBusy">
<option
v-for="option in riskRuleLevelOptions"
:key="option.value"
:value="option.value"
>
{{ option.label }}
</option>
</select>
</label>
<label class="span-2">
<span>自然语言规则</span>
<textarea
v-model="riskRuleCreateForm.natural_language"
:disabled="riskRuleCreateBusy"
placeholder="例如：住宿城市必须出现在本次差旅行程城市中，否则提示高风险并要求补充说明。"
></textarea>
</label>
</div>
</ConfirmDialog>
<ConfirmDialog
:open="Boolean(versionSwitchTarget)"
badge="切换版本"

4
web/src/views/LogDetailView.vue
View File

@@ -15,7 +15,7 @@
</article>
<template v-else-if="isHermes && hermesRun">
<article class="detail-hero panel">
<article v-if="!isKnowledgeIngestRunDetail" class="detail-hero panel">
<div class="hero-copy">
<div class="hero-tags">
<span class="level-pill" :class="resolveLevelTone(resolveRunLevel(hermesRun))">
@@ -48,7 +48,7 @@
:run="hermesRun"
/>
<div class="detail-grid">
<div v-if="!isKnowledgeIngestRunDetail" class="detail-grid">
<article class="panel detail-card wide">
<div class="card-head">
<h3>基本信息</h3>

35
web/src/views/TravelReimbursementCreateView.vue
View File

@@ -82,7 +82,7 @@
/>
</span>
<div class="message-bubble">
<div class="message-bubble" :class="buildMessageBubbleClass(message)">
<header class="message-meta">
<strong>{{ message.role === 'assistant' ? (message.assistantName || ASSISTANT_DISPLAY_NAME) : '我' }}</strong>
<time>{{ message.time }}</time>
@@ -357,6 +357,13 @@
</p>
</template>
<div
v-if="buildReviewNextStepRichCopyForMessage(message)"
class="review-next-step-rich-copy message-answer-markdown"
v-html="renderMarkdown(buildReviewNextStepRichCopyForMessage(message))"
@click="handleAssistantMarkdownClick($event, message)"
></div>
<div
v-if="resolveReviewFooterActions(message.reviewPayload).length"
class="review-footer-actions"
@@ -773,7 +780,11 @@
</div>
<Transition name="insight-switch" mode="out-in">
<div :key="`${activeSessionType}-${currentInsight.intent}-${currentInsight.title}-${reviewDrawerMode}`" class="insight-body">
<div
:key="`${activeSessionType}-${currentInsight.intent}-${currentInsight.title}-${reviewDrawerMode}`"
class="insight-body"
:class="{ 'document-review-body': isReviewDocumentDrawer }"
>
<template v-if="isKnowledgeSession">
<section class="insight-card knowledge-hot-card">
<div class="card-head">
@@ -1145,7 +1156,7 @@
v-model="activeReviewDocument.scene_label"
type="text"
:disabled="submitting || reviewActionBusy"
placeholder="例如：业务招待费 / 差旅费"
placeholder="例如：出租车/网约车票据 / 火车/高铁票"
/>
</label>
@@ -1302,6 +1313,22 @@
@confirm="confirmDeleteCurrentSession"
/>
<ConfirmDialog
:open="nextStepConfirmDialog.open"
badge="提交确认"
badge-tone="primary"
title="确认提交当前单据？"
description="提交后单据将进入审批流程，请确认关键信息、票据和风险提示已经核对无误。"
cancel-text="再检查一下"
confirm-text="确认提交"
busy-text="提交中..."
confirm-tone="primary"
confirm-icon="mdi mdi-send-check-outline"
:busy="reviewActionBusy"
@close="closeReviewNextStepConfirm"
@confirm="confirmReviewNextStepSubmit"
/>
<Transition name="assistant-modal">
<div v-if="documentPreviewDialog.open" class="assistant-overlay review-overlay">
<section class="review-preview-modal">
@@ -1318,11 +1345,13 @@
<div class="review-preview-body" :class="documentPreviewDialog.kind">
<img
v-if="documentPreviewDialog.kind === 'image'"
:key="documentPreviewDialog.renderKey"
:src="documentPreviewDialog.url"
:alt="documentPreviewDialog.filename"
/>
<iframe
v-else-if="documentPreviewDialog.kind === 'pdf'"
:key="documentPreviewDialog.renderKey"
:src="documentPreviewDialog.url"
title="票据 PDF 原图预览"
></iframe>

31
web/src/views/scripts/ArchiveCenterView.js
View File

@@ -20,7 +20,11 @@ import {
import { normalizeRequestForUi } from '../../utils/requestViewModel.js'
import TravelRequestDetailView from '../TravelRequestDetailView.vue'
const tabs = ['全部归档', '差旅报销', '招待报销', '其他费用']
const ARCHIVE_TAB_ALL = '全部归档'
const ARCHIVE_TAB_REIMBURSEMENT = '报销归档'
const ARCHIVE_TYPE_REIMBURSEMENT = '报销'
const ARCHIVE_TYPE_REIMBURSEMENT_CODE = 'reimbursement'
const tabs = [ARCHIVE_TAB_ALL, ARCHIVE_TAB_REIMBURSEMENT]
const RISK_FILTER_OPTIONS = [
{ value: ARCHIVE_FILTER_ALL, label: '全部风险' },
{ value: 'has', label: '有风险' },
@@ -40,17 +44,6 @@ function formatCurrency(value) {
}).format(Number.isFinite(amount) ? amount : 0)
}
function resolveArchiveTypeTab(request) {
const expenseType = String(request?.typeCode || request?.expenseType || '').trim().toLowerCase()
if (expenseType === 'travel') {
return '差旅报销'
}
if (expenseType === 'entertainment') {
return '招待报销'
}
return '其他费用'
}
function buildArchiveRow(request) {
const normalized = normalizeRequestForUi(request)
const riskCount = countClaimRisks(normalized.riskFlags, normalized.riskSummary)
@@ -75,6 +68,8 @@ function buildArchiveRow(request) {
archivedAt: normalized.updatedAt || normalized.applyTime,
archiveMonth,
archiveMonthLabel: formatArchiveMonthLabel(archiveMonth),
archiveType: ARCHIVE_TYPE_REIMBURSEMENT,
archiveTypeCode: ARCHIVE_TYPE_REIMBURSEMENT_CODE,
node: normalized.workflowNode || '归档入账',
hasRisk,
riskCount,
@@ -82,7 +77,7 @@ function buildArchiveRow(request) {
riskTone,
status: '已归档',
statusTone: 'archived',
archiveTab: resolveArchiveTypeTab(normalized)
archiveTab: ARCHIVE_TAB_REIMBURSEMENT
}
}
@@ -98,7 +93,7 @@ export default {
TableEmptyState
},
setup() {
const activeTab = ref('全部归档')
const activeTab = ref(ARCHIVE_TAB_ALL)
const activeRiskFilter = ref(ARCHIVE_FILTER_ALL)
const activeTypeFilter = ref(ARCHIVE_FILTER_ALL)
const activeDepartmentFilter = ref(ARCHIVE_FILTER_ALL)
@@ -115,7 +110,7 @@ export default {
const archiveMonthFilterOptions = computed(() => buildArchiveMonthFilterOptions(rows.value))
const riskFilterLabel = computed(() => resolveFilterLabel(RISK_FILTER_OPTIONS, activeRiskFilter.value, '全部风险'))
const typeFilterLabel = computed(() => resolveFilterLabel(typeFilterOptions.value, activeTypeFilter.value, '费用类型'))
const typeFilterLabel = computed(() => resolveFilterLabel(typeFilterOptions.value, activeTypeFilter.value, '归档类型'))
const departmentFilterLabel = computed(() => resolveFilterLabel(departmentFilterOptions.value, activeDepartmentFilter.value, '所属部门'))
const archiveMonthFilterLabel = computed(() => resolveFilterLabel(archiveMonthFilterOptions.value, activeArchiveMonthFilter.value, '归档月份'))
@@ -193,8 +188,8 @@ export default {
eyebrow: filtersActive ? '筛选结果为空' : '归档中心',
title: filtersActive ? '没有符合当前筛选条件的归档单据' : `“${activeTab.value}”里暂时没有归档单据`,
desc: filtersActive
? '可以调整风险、费用类型、部门或归档月份筛选，也可以修改搜索关键词后重试。'
: '可以切换到其他分类查看，或调整筛选条件后重新检索。',
? '可以调整风险、归档类型、部门或归档月份筛选，也可以修改搜索关键词后重试。'
: '可以切换到其他归档分类查看，或调整筛选条件后重新检索。',
icon: 'mdi mdi-archive-outline',
actionLabel: null,
actionIcon: null,
@@ -205,7 +200,7 @@ export default {
})
function resetListFilters() {
activeTab.value = '全部归档'
activeTab.value = ARCHIVE_TAB_ALL
activeRiskFilter.value = ARCHIVE_FILTER_ALL
activeTypeFilter.value = ARCHIVE_FILTER_ALL
activeDepartmentFilter.value = ARCHIVE_FILTER_ALL

70
web/src/views/scripts/AuditView.js
View File

@@ -2,6 +2,7 @@ import { computed, nextTick, onBeforeUnmount, onMounted, ref, watch } from 'vue'
import ConfirmDialog from '../../components/shared/ConfirmDialog.vue'
import { fetchEmployees } from '../../services/employees.js'
import RiskRuleFlowDiagram from '../../components/shared/RiskRuleFlowDiagram.vue'
import TableLoadingState from '../../components/shared/TableLoadingState.vue'
import TableEmptyState from '../../components/shared/TableEmptyState.vue'
import { useSystemState } from '../../composables/useSystemState.js'
@@ -18,6 +19,7 @@ import {
fetchAgentAssetRuleJson,
fetchAgentAssetVersionTimeline,
fetchAgentRuns,
generateRiskRuleAsset,
saveAgentAssetRuleJson,
importAgentAssetSpreadsheetContent,
restoreAgentAssetVersion,
@@ -58,11 +60,17 @@ import {
parseRuntimeRuleText,
buildMarkdownVersionContent
} from './auditViewModel.js'
import {
createDefaultRiskRuleForm,
RISK_RULE_CREATE_DOMAIN_OPTIONS,
RISK_RULE_LEVEL_OPTIONS
} from './auditViewRiskRuleModel.js'
export default {
name: 'AuditView',
components: {
ConfirmDialog,
RiskRuleFlowDiagram,
TableLoadingState,
TableEmptyState
},
@@ -95,6 +103,8 @@ export default {
const reviewSubmitReviewer = ref('')
const reviewSubmitReviewerLoading = ref(false)
const reviewSubmitReviewerOptions = ref([])
const riskRuleCreateOpen = ref(false)
const riskRuleCreateForm = ref(createDefaultRiskRuleForm())
const runLoading = ref(false)
const runs = ref([])
const spreadsheetUploadInput = ref(null)
@@ -152,6 +162,10 @@ export default {
!selectedSkill.value?.isPreviewMock &&
(isAdmin.value || isFinance.value)
)
const canCreateRiskRule = computed(
() => activeType.value === 'riskRules' && (isAdmin.value || isFinance.value) && !detailBusy.value
)
const riskRuleCreateBusy = computed(() => actionState.value === 'generate-risk-rule')
const canEditMarkdown = computed(() => canEditSelected.value && selectedSkillIsRule.value)
const isDisplayingWorkingVersion = computed(
() => selectedSkill.value?.displayVersion === selectedSkill.value?.workingVersion
@@ -492,6 +506,53 @@ export default {
return currentUser.value?.name || currentUser.value?.username || 'system'
}
function openRiskRuleCreateDialog() {
if (activeType.value !== 'riskRules') {
return
}
riskRuleCreateForm.value = createDefaultRiskRuleForm()
riskRuleCreateOpen.value = true
}
function closeRiskRuleCreateDialog() {
if (riskRuleCreateBusy.value) {
return
}
riskRuleCreateOpen.value = false
}
async function submitRiskRuleCreate() {
if (!canCreateRiskRule.value || riskRuleCreateBusy.value) {
return
}
const naturalLanguage = String(riskRuleCreateForm.value.natural_language || '').trim()
if (naturalLanguage.length < 8) {
toast('请至少输入 8 个字的风险规则描述。')
return
}
actionState.value = 'generate-risk-rule'
try {
const detail = await generateRiskRuleAsset(
{
business_domain: riskRuleCreateForm.value.business_domain,
risk_level: riskRuleCreateForm.value.risk_level,
natural_language: naturalLanguage
},
{ actor: resolveActor() }
)
riskRuleCreateOpen.value = false
await refreshCurrentAssets()
selectedSkill.value = buildDetailViewModel(detail, runs.value)
await loadRiskRuleJson(detail.id)
toast('风险规则草稿已生成，请在详情中核对业务说明和判断流程。')
} catch (error) {
toast(error?.message || '风险规则生成失败，请稍后重试。')
} finally {
actionState.value = ''
}
}
async function persistRuleRuntimeConfig(asset, runtimeRule) {
await updateAgentAsset(
asset.id,
@@ -1421,6 +1482,7 @@ export default {
activeFilterTokens,
canManageSelected,
canEditSelected,
canCreateRiskRule,
canSubmitReview,
hasReviewSubmitReviewers,
canReviewSelected,
@@ -1444,6 +1506,11 @@ export default {
reviewSubmitReviewer,
reviewSubmitReviewerLoading,
reviewSubmitReviewerOptions,
riskRuleCreateOpen,
riskRuleCreateForm,
riskRuleCreateBusy,
riskRuleCreateDomainOptions: RISK_RULE_CREATE_DOMAIN_OPTIONS,
riskRuleLevelOptions: RISK_RULE_LEVEL_OPTIONS,
showReviewNote,
spreadsheetUploadInput,
spreadsheetOnlyOfficeLoading,
@@ -1464,6 +1531,9 @@ export default {
toggleFilterPopover,
selectFilter,
closeFilterPopover,
openRiskRuleCreateDialog,
closeRiskRuleCreateDialog,
submitRiskRuleCreate,
openVersionSwitch,
cancelVersionSwitch,
confirmVersionSwitch,

42
web/src/views/scripts/TravelReimbursementCreateView.js
View File

@@ -11,6 +11,7 @@ import { useTravelReimbursementSessionState } from './useTravelReimbursementSess
import { useTravelReimbursementReviewDrawer } from './useTravelReimbursementReviewDrawer.js'
import { useTravelReimbursementSubmitComposer } from './useTravelReimbursementSubmitComposer.js'
import { useTravelReimbursementReviewActions } from './useTravelReimbursementReviewActions.js'
import { useTravelReimbursementGuidedFlow } from './useTravelReimbursementGuidedFlow.js'
import { recognizeOcrFiles } from '../../services/ocr.js'
import { fetchAgentRunDetail } from '../../services/agentAssets.js'
import { deleteConversation, runOrchestrator } from '../../services/orchestrator.js'
@@ -536,6 +537,7 @@ export default {
currentInsight,
reviewFilePreviews,
composerUploadIntent,
guidedFlowState,
insightPanelCollapsed,
sessionSwitchBusy,
buildEmptySessionState,
@@ -871,7 +873,8 @@ export default {
})
sessionRuntimeRefs = {
attachedFiles,
composerFilesExpanded
composerFilesExpanded,
guidedFlowState
}
const {
confirmPendingAttachmentAssociationInternal,
@@ -961,6 +964,34 @@ export default {
|| composerBusinessTimeTags.value.length
)
)
const {
handleGuidedShortcut,
handleGuidedComposerSubmit,
handleGuidedSuggestedAction,
resetGuidedFlowState
} = useTravelReimbursementGuidedFlow({
guidedFlowState,
messages,
composerDraft,
attachedFiles,
composerBusinessTimeTags,
composerBusinessTimeDraftTouched,
fileInputRef,
submitting,
reviewActionBusy,
sessionSwitchBusy,
createMessage,
nextTick,
scrollToBottom,
persistSessionState,
clearAttachedFiles,
adjustComposerTextareaHeight,
buildComposerBusinessTimeContext,
openTravelCalculator,
lockSuggestedActionMessage,
submitExistingComposer: submitComposerInternal,
toast
})
function toggleTravelCalculator() {
return toggleTravelCalculatorInternal()
}
@@ -1050,6 +1081,7 @@ export default {
reviewFilePreviews: reviewFilePreviews.value,
composerDraft: composerDraft.value,
composerUploadIntent: composerUploadIntent.value,
guidedFlowState: guidedFlowState.value,
insightPanelCollapsed: insightPanelCollapsed.value
}),
() => {
@@ -1168,6 +1200,7 @@ export default {
function resetCurrentSessionState() {
const emptyState = buildEmptySessionState(activeSessionType.value)
sessionSnapshots.value[activeSessionType.value] = emptyState
resetGuidedFlowState()
applySessionState(emptyState)
resetFlowRun({ startedAt: 0, openDrawer: false })
}
@@ -1239,6 +1272,9 @@ export default {
await switchSessionType(shortcut.targetSessionType)
return
}
if (handleGuidedShortcut(shortcut)) {
return
}
const prompt = String(shortcut?.prompt || '').trim()
if (!prompt) return
@@ -1293,6 +1329,7 @@ export default {
const actionType = String(action?.action_type || '').trim()
if (!actionType || submitting.value || reviewActionBusy.value || sessionSwitchBusy.value) return
if (message?.suggestedActionsLocked) return
if (await handleGuidedSuggestedAction(message, action)) return
if (actionType === 'confirm_expense_intent') {
const originalMessage = String(action?.payload?.original_message || message?.text || '').trim()
@@ -1746,6 +1783,9 @@ export default {
// submitting.value = true
// recognizeOcrFiles(files)
// submitting.value = false
if (await handleGuidedComposerSubmit(options)) {
return null
}
return submitComposerInternal(options)
}

2
web/src/views/scripts/auditViewMetadata.js
View File

@@ -87,7 +87,7 @@ export const TAB_META = {
typeKey: 'rules',
label: '风险规则',
typeLabel: '风险规则',
createButtonLabel: '风险规则已接入',
createButtonLabel: '新建风险规则',
hintText: '仅展示平台风险规则；适用场景按差旅、发票、餐饮招待等分类，可用「使用场景」筛选。',
searchPlaceholder: '搜索风险规则名称、编码或负责人',
tableColumns: RULE_TABLE_COLUMNS,

33
web/src/views/scripts/auditViewModel.js
View File

@@ -19,6 +19,17 @@ import {
TYPE_META,
VERSION_STATE_META
} from './auditViewMetadata.js'
import {
buildRiskRuleFieldSummary,
formatRiskRuleAge,
resolveRiskRuleBusinessDescription,
resolveRiskRuleCreatedAt,
resolveRiskRuleFields,
resolveRiskRuleFlow,
resolveRiskRuleFlowDiagramSvg,
resolveRiskRuleSeverity,
resolveRiskRuleSeverityLabel
} from './auditViewRiskRuleModel.js'
export {
DETAIL_TITLES,
@@ -413,14 +424,26 @@ export function applyRiskRuleJsonState(target, payload, apiPayload) {
const riskCategory =
normalizeText(rulePayload.risk_category) ||
resolveRiskRuleCategory({ ...target, risk_category: rulePayload.risk_category, config_json: rulePayload })
const riskRuleFields = resolveRiskRuleFields(rulePayload)
const riskRuleCreatedAt = resolveRiskRuleCreatedAt(rulePayload, target.createdAt || target.updatedAt)
return {
...target,
riskRuleDescription: fullDescription,
riskRuleBusinessDescription: resolveRiskRuleBusinessDescription(rulePayload, fullDescription),
riskRuleSubtitle: buildRiskListSubtitle(fullDescription, 48),
riskCategory,
scope: riskCategory,
riskRuleSourceRef: resolveRiskRuleSourceRef(rulePayload),
riskRuleSeverity: resolveRiskRuleSeverity(rulePayload),
riskRuleSeverityLabel: resolveRiskRuleSeverityLabel(rulePayload),
riskRuleCreatedAt: formatDateTime(riskRuleCreatedAt),
riskRuleAgeLabel: formatRiskRuleAge(riskRuleCreatedAt),
riskRuleFields,
riskRuleFieldSummary: buildRiskRuleFieldSummary(riskRuleFields),
riskRuleFlow: resolveRiskRuleFlow(rulePayload, riskRuleFields),
riskRuleFlowDiagramSvg:
normalizeText(apiPayload?.flow_diagram_svg) || resolveRiskRuleFlowDiagramSvg(rulePayload),
riskRuleSummary: {
name: apiPayload?.name || target.name,
evaluator: apiPayload?.evaluator || rulePayload.evaluator || '',
@@ -1219,6 +1242,7 @@ export function buildDetailViewModel(detail, runs) {
statusValue: detail.status,
statusTone: statusMeta.tone,
hitRate: buildRowMetric(detail, typeKey),
createdAt: detail.created_at,
updatedAt: formatDateTime(detail.updated_at),
badgeTone: tabMeta.badgeTone,
configJson,
@@ -1227,8 +1251,17 @@ export function buildDetailViewModel(detail, runs) {
riskRuleJsonText: '{}',
riskRuleSummary: null,
riskRuleDescription: '',
riskRuleBusinessDescription: '',
riskRuleSubtitle: usesJsonRiskRule ? buildRiskListSubtitle(detail.description) : '',
riskRuleSourceRef: '',
riskRuleSeverity: 'medium',
riskRuleSeverityLabel: '中风险',
riskRuleCreatedAt: formatDateTime(detail.created_at),
riskRuleAgeLabel: formatRiskRuleAge(detail.created_at),
riskRuleFields: [],
riskRuleFieldSummary: '未识别字段',
riskRuleFlow: resolveRiskRuleFlow({}, []),
riskRuleFlowDiagramSvg: normalizeText(configJson.flow_diagram_svg),
riskCategory: typeKey === 'rules' ? ruleScenarioCategory : '',
ruleDocument,
scenarioList: typeKey === 'rules' && ruleScenarioCategory

166
web/src/views/scripts/auditViewRiskRuleModel.js Normal file
View File

@@ -0,0 +1,166 @@
export const RISK_RULE_CREATE_DOMAIN_OPTIONS = [
{ value: 'expense', label: '报销' },
{ value: 'ar', label: '应收' },
{ value: 'ap', label: '应付' }
]
export const RISK_RULE_LEVEL_OPTIONS = [
{ value: 'medium', label: '中风险' },
{ value: 'high', label: '高风险' },
{ value: 'low', label: '低风险' }
]
const RISK_LEVEL_LABELS = {
low: '低风险',
medium: '中风险',
high: '高风险'
}
export function createDefaultRiskRuleForm() {
return {
business_domain: 'expense',
risk_level: 'medium',
natural_language: ''
}
}
export function normalizeRiskRuleText(value) {
return String(value || '').trim()
}
export function formatRiskRuleFieldDisplay(field) {
const key = normalizeRiskRuleText(field?.key)
const label = normalizeRiskRuleText(field?.label || key)
if (label && key && label !== key) {
return `${label}[${key}]`
}
return label || key
}
export function resolveRiskRuleSeverity(payload) {
const outcomes = payload && typeof payload === 'object' ? payload.outcomes || {} : {}
const fail = outcomes && typeof outcomes.fail === 'object' ? outcomes.fail : {}
const severity = normalizeRiskRuleText(fail.severity || payload?.severity).toLowerCase()
return ['low', 'medium', 'high'].includes(severity) ? severity : 'medium'
}
export function resolveRiskRuleSeverityLabel(payload) {
return RISK_LEVEL_LABELS[resolveRiskRuleSeverity(payload)] || '中风险'
}
export function resolveRiskRuleFields(payload) {
const inputs = payload && typeof payload === 'object' ? payload.inputs || {} : {}
const fieldRows = Array.isArray(inputs.fields) ? inputs.fields : []
if (fieldRows.length) {
return fieldRows
.map((item) => ({
key: normalizeRiskRuleText(item?.key),
label: normalizeRiskRuleText(item?.label || item?.key),
display: formatRiskRuleFieldDisplay(item),
source: normalizeRiskRuleText(item?.source),
type: normalizeRiskRuleText(item?.type)
}))
.filter((item) => item.key || item.label)
}
return Object.entries(inputs)
.map(([label, key]) => ({
key: normalizeRiskRuleText(key),
label: normalizeRiskRuleText(label),
display: formatRiskRuleFieldDisplay({ key, label }),
source: '',
type: ''
}))
.filter((item) => item.key || item.label)
}
export function buildRiskRuleFieldSummary(fields) {
const labels = fields.map(formatRiskRuleFieldDisplay).filter(Boolean)
if (!labels.length) {
return '未识别字段'
}
if (labels.length <= 4) {
return labels.join('、')
}
return `${labels.slice(0, 4).join('、')} 等 ${labels.length} 项`
}
export function resolveRiskRuleCreatedAt(payload, fallback) {
const metadata = payload && typeof payload === 'object' ? payload.metadata || {} : {}
return normalizeRiskRuleText(metadata.created_at || fallback)
}
export function formatRiskRuleAge(value) {
const date = new Date(value)
if (Number.isNaN(date.getTime())) {
return '未记录'
}
const diffMs = Date.now() - date.getTime()
if (diffMs < 0) {
return '刚刚创建'
}
const minutes = Math.floor(diffMs / 60000)
if (minutes < 1) {
return '刚刚创建'
}
if (minutes < 60) {
return `${minutes} 分钟`
}
const hours = Math.floor(minutes / 60)
if (hours < 24) {
return `${hours} 小时`
}
const days = Math.floor(hours / 24)
if (days < 30) {
return `${days} 天`
}
const months = Math.floor(days / 30)
if (months < 12) {
return `${months} 个月`
}
return `${Math.floor(months / 12)} 年`
}
export function resolveRiskRuleBusinessDescription(payload, fallback) {
const metadata = payload && typeof payload === 'object' ? payload.metadata || {} : {}
return (
normalizeRiskRuleText(metadata.business_explanation) ||
normalizeRiskRuleText(payload?.description) ||
normalizeRiskRuleText(fallback)
)
}
export function resolveRiskRuleFlowDiagramSvg(payload) {
const metadata = payload && typeof payload === 'object' ? payload.metadata || {} : {}
return (
normalizeRiskRuleText(payload?.flow_diagram_svg) ||
normalizeRiskRuleText(metadata.flow_diagram_svg)
)
}
export function resolveRiskRuleConditionSummary(payload) {
const metadata = payload && typeof payload === 'object' ? payload.metadata || {} : {}
const params = payload && typeof payload === 'object' ? payload.params || {} : {}
return (
normalizeRiskRuleText(metadata.condition_summary) ||
normalizeRiskRuleText(params.condition_summary) ||
'根据规则字段判断是否命中风险'
)
}
export function resolveRiskRuleFlow(payload, fields) {
const metadata = payload && typeof payload === 'object' ? payload.metadata || {} : {}
const flow = metadata && typeof metadata.flow === 'object' ? metadata.flow : {}
const fieldSummary = buildRiskRuleFieldSummary(fields)
const conditionSummary = resolveRiskRuleConditionSummary(payload)
const severityLabel = resolveRiskRuleSeverityLabel(payload)
return {
start: normalizeRiskRuleText(flow.start) || '业务单据提交',
evidence: normalizeRiskRuleText(flow.evidence) || `读取 ${fieldSummary}`,
decision: normalizeRiskRuleText(flow.decision) || conditionSummary,
basis: conditionSummary,
pass: normalizeRiskRuleText(flow.pass) || '未命中风险，继续流转',
fail: normalizeRiskRuleText(flow.fail) || `命中${severityLabel}，进入人工复核`
}
}

54
web/src/views/scripts/travelReimbursementConversationModel.js
View File

@@ -2,6 +2,11 @@ import { buildSuggestedActionKey } from '../../utils/suggestedActionKey.js'
import { normalizeExpenseQueryPayload } from './travelReimbursementExpenseQueryModel.js'
import { buildAgentInsight, buildReviewFilePreviewsFromReviewPayload } from './travelReimbursementAttachmentModel.js'
import { resolveExpenseTypeLabel } from './travelReimbursementReviewModel.js'
import {
GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR,
GUIDED_ACTION_START_REIMBURSEMENT,
GUIDED_ACTION_START_STATUS_QUERY
} from './travelReimbursementGuidedFlowModel.js'
export const SESSION_TYPE_EXPENSE = 'expense'
export const SESSION_TYPE_KNOWLEDGE = 'knowledge'
@@ -88,34 +93,19 @@ export const ASSISTANT_DISPLAY_NAME = '财务助手'
export const EXPENSE_WELCOME_QUICK_ACTIONS = [
{
label: '发起差旅报销',
prompt: '我要报销一笔出差费用，请帮我说明需要准备的材料，并引导我上传票据。',
icon: 'mdi mdi-bag-suitcase-outline'
label: '快速发起报销',
action: GUIDED_ACTION_START_REIMBURSEMENT,
icon: 'mdi mdi-receipt-text-plus-outline'
},
{
label: '招待费报销',
prompt: '我要报销客户招待餐费，请告诉我需要补充的客户、参与人员和票据要求。',
icon: 'mdi mdi-food-fork-drink'
label: '查询单据状态',
action: GUIDED_ACTION_START_STATUS_QUERY,
icon: 'mdi mdi-file-search-outline'
},
{
label: '交通费报销',
prompt: '我要报销交通出行费用，请帮我识别场景并列出待补充信息。',
icon: 'mdi mdi-car-outline'
},
{
label: '上传票据识别',
prompt: '我已准备好票据，请帮我识别并整理报销核对信息。',
icon: 'mdi mdi-file-upload-outline'
},
{
label: '查询近期报销',
prompt: '帮我查询近10天的报销记录和金额汇总。',
icon: 'mdi mdi-chart-timeline-variant'
},
{
label: '解释报销风险',
prompt: '请结合公司制度，说明酒店超标、发票抬头不一致等常见报销风险。',
icon: 'mdi mdi-shield-alert-outline'
label: '差旅计算器',
action: GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR,
icon: 'mdi mdi-calculator-variant-outline'
}
]
@@ -436,22 +426,6 @@ export function buildWelcomeQuickActions(sessionType, user, entrySource, linkedR
}))
}
if (entrySource === 'detail' && linkedRequest?.id) {
return [
{
label: '补充当前单据票据',
prompt: `请结合单据 ${linkedRequest.id}，帮我继续补充票据并更新识别结果。`,
icon: 'mdi mdi-file-plus-outline'
},
{
label: '解释本单风险',
prompt: `请解释单据 ${linkedRequest.id} 当前存在的报销风险与处理建议。`,
icon: 'mdi mdi-shield-alert-outline'
},
...EXPENSE_WELCOME_QUICK_ACTIONS.slice(0, 4)
]
}
return EXPENSE_WELCOME_QUICK_ACTIONS
}

508
web/src/views/scripts/travelReimbursementGuidedFlowModel.js Normal file
View File

@@ -0,0 +1,508 @@
export const GUIDED_FLOW_MODE_NONE = ''
export const GUIDED_FLOW_MODE_REIMBURSEMENT = 'reimbursement_guide'
export const GUIDED_FLOW_MODE_STATUS_QUERY = 'status_query_guide'
export const GUIDED_ACTION_START_REIMBURSEMENT = 'start_guided_reimbursement'
export const GUIDED_ACTION_START_STATUS_QUERY = 'start_guided_status_query'
export const GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR = 'open_travel_calculator'
export const GUIDED_ACTION_SELECT_EXPENSE_TYPE = 'guided_select_expense_type'
export const GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW = 'guided_confirm_reimbursement_review'
export const GUIDED_ACTION_CONTINUE_FILLING = 'guided_continue_filling'
export const GUIDED_ACTION_PROCESS_INTERRUPTION = 'guided_process_interruption'
export const GUIDED_ACTION_SELECT_QUERY_MODE = 'guided_select_query_mode'
export const GUIDED_ACTION_SELECT_QUERY_STATUS = 'guided_select_query_status'
export const GUIDED_EXPENSE_TYPES = [
{ key: 'travel', label: '差旅费', description: '出差、跨城交通、住宿和补贴', icon: 'mdi mdi-bag-suitcase-outline' },
{ key: 'transport', label: '交通费', description: '市内交通、打车、停车和通行费', icon: 'mdi mdi-car-outline' },
{ key: 'hotel', label: '住宿费', description: '单独住宿或酒店票据', icon: 'mdi mdi-bed-outline' },
{ key: 'meal', label: '业务招待费', description: '客户接待、餐饮和工作招待', icon: 'mdi mdi-food-fork-drink' },
{ key: 'office', label: '办公用品费', description: '办公用品、文具和低值易耗品', icon: 'mdi mdi-briefcase-outline' },
{ key: 'other', label: '其他费用', description: '暂不属于以上类型的费用', icon: 'mdi mdi-dots-horizontal-circle-outline' }
]
const GUIDED_REIMBURSEMENT_STEPS = {
travel: [
{ key: 'reason', summaryLabel: '事由', prompt: '请先告诉我本次出差事由，例如：去上海支持项目部署。' },
{ key: 'location', summaryLabel: '出差地点', prompt: '本次出差地点是哪里？可以回复城市或具体客户地点。' },
{ key: 'time_range', summaryLabel: '出差时间/天数', prompt: '请补充出差时间或天数，例如：2026-05-20 至 2026-05-23，出差 3 天。' },
{ key: 'amount', summaryLabel: '金额', prompt: '请补充本次预计或实际报销金额。如果还没有汇总，可以回复“待核算”。' },
{ key: 'attachments', summaryLabel: '票据', prompt: '票据可以现在上传，也可以回复“稍后上传”。上传后我会在生成核对信息时一起处理。' }
],
transport: [
{ key: 'reason', summaryLabel: '出行事由', prompt: '请说明本次交通费事由，例如：送客户去机场。' },
{ key: 'time_range', summaryLabel: '出行时间', prompt: '请补充出行时间，例如：2026-05-20 下午。' },
{ key: 'location', summaryLabel: '路线/地点', prompt: '请补充出行路线或地点，例如：公司至机场。' },
{ key: 'amount', summaryLabel: '金额', prompt: '请补充交通费金额。如果票据里再识别金额，可以回复“以票据为准”。' },
{ key: 'attachments', summaryLabel: '票据', prompt: '请上传出租车、网约车、停车或通行费等票据；也可以回复“稍后上传”。' }
],
hotel: [
{ key: 'reason', summaryLabel: '住宿事由', prompt: '请说明住宿事由，例如：项目现场支持期间住宿。' },
{ key: 'location', summaryLabel: '城市/酒店地点', prompt: '住宿城市或酒店地点是哪里？' },
{ key: 'time_range', summaryLabel: '入住离店时间', prompt: '请补充入住和离店时间，例如：2026-05-20 至 2026-05-23。' },
{ key: 'amount', summaryLabel: '金额', prompt: '请补充住宿金额。如果还没有汇总，可以回复“待核算”。' },
{ key: 'attachments', summaryLabel: '票据', prompt: '请上传酒店发票或住宿水单；也可以回复“稍后上传”。' }
],
meal: [
{ key: 'customer_name', summaryLabel: '客户单位', prompt: '请补充客户单位或接待对象。' },
{ key: 'participants', summaryLabel: '参与人员', prompt: '请补充参与人员，例如：客户 2 人，我方 1 人。' },
{ key: 'time_range', summaryLabel: '招待时间', prompt: '请补充招待时间，例如：2026-05-20 晚。' },
{ key: 'location', summaryLabel: '招待地点', prompt: '请补充招待地点或商户名称。' },
{ key: 'amount', summaryLabel: '金额', prompt: '请补充招待金额。' },
{ key: 'reason', summaryLabel: '事由', prompt: '请补充招待事由，例如：项目沟通或客户接待。' },
{ key: 'attachments', summaryLabel: '票据', prompt: '请上传餐饮发票或相关凭证；也可以回复“稍后上传”。' }
],
office: [
{ key: 'reason', summaryLabel: '采购用途', prompt: '请说明采购用途，例如：项目现场临时采购办公用品。' },
{ key: 'location', summaryLabel: '商户/采购地点', prompt: '请补充商户或采购地点。' },
{ key: 'time_range', summaryLabel: '发生时间', prompt: '请补充费用发生时间。' },
{ key: 'amount', summaryLabel: '金额', prompt: '请补充办公用品金额。' },
{ key: 'attachments', summaryLabel: '票据', prompt: '请上传办公用品发票或购物凭证；也可以回复“稍后上传”。' }
],
other: [
{ key: 'reason', summaryLabel: '费用说明', prompt: '请说明这笔费用的具体内容和用途。' },
{ key: 'time_range', summaryLabel: '发生时间', prompt: '请补充费用发生时间。' },
{ key: 'location', summaryLabel: '地点/对象', prompt: '请补充费用发生地点或关联对象。' },
{ key: 'amount', summaryLabel: '金额', prompt: '请补充费用金额。' },
{ key: 'attachments', summaryLabel: '票据', prompt: '请上传相关票据；也可以回复“稍后上传”。' }
]
}
export const GUIDED_QUERY_MODES = [
{ key: 'claim_no', label: '按单号', description: '输入报销单号精准查询', icon: 'mdi mdi-pound' },
{ key: 'status', label: '按状态', description: '查询草稿、审批中或已归档单据', icon: 'mdi mdi-list-status' },
{ key: 'time_range', label: '按时间范围', description: '例如上周、去年、2026-05', icon: 'mdi mdi-calendar-search-outline' },
{ key: 'keyword', label: '按地点/事由', description: '例如北京、上海电力、服务器部署', icon: 'mdi mdi-map-search-outline' }
]
export const GUIDED_QUERY_STATUS_OPTIONS = [
{ key: 'draft', label: '草稿', description: '还没有正式提交的单据' },
{ key: 'pending', label: '审批中', description: '正在流转审批的单据' },
{ key: 'returned', label: '已退回', description: '需要补充或修改的单据' },
{ key: 'archived', label: '已归档', description: '已完成归档的单据' },
{ key: 'completed', label: '已完成', description: '已审核完成或已入账的单据' }
]
const NO_ATTACHMENT_TEXT_PATTERN = /^(稍后|暂不|不用|没有|待上传|后面|后续|先不|以票据为准)/u
const INTERRUPTION_PATTERN = /(查一下|查询|状态|报销了吗|报销了么|多少|总额|标准|制度|规则|为什么|怎么|可以吗|能不能|差旅计算器|计算一下|解释|风险|打开|跳转|查看|审批|归档|入账|[?？])/u
function uniqueValues(values) {
return Array.from(new Set((Array.isArray(values) ? values : []).map((item) => String(item || '').trim()).filter(Boolean)))
}
function normalizeText(value) {
return String(value || '').trim()
}
function normalizeValues(values) {
if (!values || typeof values !== 'object') {
return {}
}
return Object.entries(values).reduce((result, [key, value]) => {
if (key === 'attachment_names') {
result[key] = uniqueValues(value)
return result
}
result[key] = normalizeText(value)
return result
}, {})
}
export function createEmptyGuidedFlowState() {
return {
mode: GUIDED_FLOW_MODE_NONE,
stepKey: '',
expenseType: '',
values: {},
pendingInterruptionText: ''
}
}
export function normalizeGuidedFlowState(state) {
const source = state && typeof state === 'object' ? state : {}
const mode = normalizeText(source.mode)
const supportedMode = [GUIDED_FLOW_MODE_REIMBURSEMENT, GUIDED_FLOW_MODE_STATUS_QUERY].includes(mode)
? mode
: GUIDED_FLOW_MODE_NONE
if (!supportedMode) {
return createEmptyGuidedFlowState()
}
return {
mode: supportedMode,
stepKey: normalizeText(source.stepKey),
expenseType: normalizeText(source.expenseType),
values: normalizeValues(source.values),
pendingInterruptionText: normalizeText(source.pendingInterruptionText)
}
}
export function isGuidedFlowActive(state) {
return Boolean(normalizeGuidedFlowState(state).mode)
}
export function getGuidedExpenseType(expenseType) {
const key = normalizeText(expenseType)
return GUIDED_EXPENSE_TYPES.find((item) => item.key === key) || null
}
export function getGuidedExpenseTypeLabel(expenseType) {
return getGuidedExpenseType(expenseType)?.label || ''
}
export function buildGuidedExpenseTypeActions() {
return GUIDED_EXPENSE_TYPES.map((option) => ({
label: option.label,
description: option.description,
icon: option.icon,
action_type: GUIDED_ACTION_SELECT_EXPENSE_TYPE,
payload: {
expense_type: option.key,
expense_type_label: option.label
}
}))
}
export function buildGuidedReimbursementStartText() {
return [
'请问你要报销的类型？',
'',
'先选一个最贴近的费用场景，我会按对应流程逐项询问。这个过程只做本地引导，不会自动创建草稿。'
].join('\n')
}
export function createGuidedReimbursementState() {
return {
...createEmptyGuidedFlowState(),
mode: GUIDED_FLOW_MODE_REIMBURSEMENT,
stepKey: 'expense_type'
}
}
export function selectGuidedExpenseType(state, expenseType) {
const type = getGuidedExpenseType(expenseType)
if (!type) {
return normalizeGuidedFlowState(state)
}
const steps = GUIDED_REIMBURSEMENT_STEPS[type.key] || []
return {
...normalizeGuidedFlowState(state),
mode: GUIDED_FLOW_MODE_REIMBURSEMENT,
expenseType: type.key,
stepKey: steps[0]?.key || 'summary',
pendingInterruptionText: ''
}
}
export function getGuidedReimbursementSteps(expenseType) {
const key = normalizeText(expenseType)
return GUIDED_REIMBURSEMENT_STEPS[key] || []
}
export function getCurrentGuidedStep(state) {
const current = normalizeGuidedFlowState(state)
if (current.mode !== GUIDED_FLOW_MODE_REIMBURSEMENT || !current.expenseType) {
return null
}
return getGuidedReimbursementSteps(current.expenseType).find((step) => step.key === current.stepKey) || null
}
export function buildGuidedStepPromptText(state) {
const current = normalizeGuidedFlowState(state)
const step = getCurrentGuidedStep(current)
const typeLabel = getGuidedExpenseTypeLabel(current.expenseType)
if (!step || !typeLabel) {
return buildGuidedReimbursementStartText()
}
const steps = getGuidedReimbursementSteps(current.expenseType)
const stepIndex = Math.max(0, steps.findIndex((item) => item.key === step.key))
return [
`已选择“${typeLabel}”。`,
'',
`第 ${stepIndex + 1} 步：${step.summaryLabel}`,
step.prompt,
'',
'直接回复这一项即可。'
].join('\n')
}
export function resolveGuidedExpenseTypeFromText(text) {
const normalized = normalizeText(text)
if (!normalized) {
return ''
}
const exact = GUIDED_EXPENSE_TYPES.find((item) => normalized === item.label || normalized === item.key)
if (exact) {
return exact.key
}
const matched = GUIDED_EXPENSE_TYPES.find((item) => normalized.includes(item.label))
return matched?.key || ''
}
export function applyGuidedReimbursementAnswer(state, answerText, attachmentNames = []) {
const current = normalizeGuidedFlowState(state)
const step = getCurrentGuidedStep(current)
if (!step) {
return current
}
const answer = normalizeText(answerText)
const nextValues = { ...current.values }
if (step.key === 'attachments') {
const nextAttachmentNames = uniqueValues([
...(Array.isArray(nextValues.attachment_names) ? nextValues.attachment_names : []),
...attachmentNames
])
if (nextAttachmentNames.length) {
nextValues.attachment_names = nextAttachmentNames
}
nextValues.attachments = answer || (nextAttachmentNames.length ? `已选择 ${nextAttachmentNames.length} 份附件` : '稍后上传')
} else {
nextValues[step.key] = answer
}
const steps = getGuidedReimbursementSteps(current.expenseType)
const currentIndex = steps.findIndex((item) => item.key === step.key)
const nextStep = steps[currentIndex + 1]
return {
...current,
values: normalizeValues(nextValues),
stepKey: nextStep?.key || 'summary',
pendingInterruptionText: ''
}
}
export function isGuidedReimbursementReadyForReview(state) {
const current = normalizeGuidedFlowState(state)
return current.mode === GUIDED_FLOW_MODE_REIMBURSEMENT
&& Boolean(current.expenseType)
&& current.stepKey === 'summary'
}
export function buildGuidedReimbursementSummaryText(state) {
const current = normalizeGuidedFlowState(state)
const typeLabel = getGuidedExpenseTypeLabel(current.expenseType) || '报销'
const steps = getGuidedReimbursementSteps(current.expenseType)
const lines = [
`已完成“${typeLabel}”的引导填写。`,
'',
'请核查下面的关键信息：'
]
steps.forEach((step) => {
const value = step.key === 'attachments'
? (current.values.attachment_names?.length
? current.values.attachment_names.join('、')
: current.values.attachments || '稍后上传')
: current.values[step.key]
lines.push(`- ${step.summaryLabel}：${value || '待补充'}`)
})
lines.push('')
lines.push('如果这些信息无误，我可以继续生成右侧报销核对信息；生成核对信息后，再由你决定保存草稿或继续下一步。')
return lines.join('\n')
}
export function buildGuidedReviewConfirmationActions() {
return [{
label: '生成报销核对信息',
description: '进入现有报销核对流程，不会直接保存草稿',
icon: 'mdi mdi-clipboard-check-outline',
action_type: GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW
}]
}
export function buildGuidedReviewSubmitOptions(state, files = []) {
const current = normalizeGuidedFlowState(state)
const type = getGuidedExpenseType(current.expenseType)
const values = current.values || {}
const typeLabel = type?.label || '其他费用'
const fieldLines = getGuidedReimbursementSteps(current.expenseType).map((step) => {
const value = step.key === 'attachments'
? (values.attachment_names?.length ? values.attachment_names.join('、') : values.attachments || '稍后上传')
: values[step.key]
return `${step.summaryLabel}：${value || '待补充'}`
})
const rawText = [
`报销类型：${typeLabel}`,
...fieldLines
].join('\n')
const reviewFormValues = {
expense_type: typeLabel,
reimbursement_type: typeLabel,
reason: values.reason || values.customer_name || '',
reason_value: values.reason || '',
customer_name: values.customer_name || '',
participants: values.participants || '',
location: values.location || '',
business_location: values.location || '',
time_range: values.time_range || '',
business_time: values.time_range || '',
amount: values.amount || '',
attachment_names: Array.isArray(values.attachment_names) ? values.attachment_names : []
}
return {
rawText,
userText: '生成报销核对信息',
pendingText: '正在生成右侧报销核对信息...',
systemGenerated: true,
files,
extraContext: {
draft_claim_id: '',
user_input_text: rawText,
expense_scene_selection: {
expense_type: type?.key || current.expenseType || 'other',
expense_type_label: typeLabel,
original_message: rawText
},
review_form_values: reviewFormValues
}
}
}
export function shouldConfirmGuidedInterruption(text, state) {
const current = normalizeGuidedFlowState(state)
if (!current.mode || current.pendingInterruptionText) {
return false
}
const normalized = normalizeText(text)
if (!normalized || NO_ATTACHMENT_TEXT_PATTERN.test(normalized)) {
return false
}
return INTERRUPTION_PATTERN.test(normalized)
}
export function buildGuidedInterruptionText(text) {
return [
`我看到你刚才输入的是：“${normalizeText(text)}”。`,
'',
'这看起来像一个新的问题。你想继续填写当前引导，还是先暂停当前引导并处理这个问题？'
].join('\n')
}
export function buildGuidedInterruptionActions() {
return [
{
label: '继续填写',
description: '保留当前引导，继续回答这一项',
icon: 'mdi mdi-pencil-outline',
action_type: GUIDED_ACTION_CONTINUE_FILLING
},
{
label: '暂停当前引导并处理这个问题',
description: '暂停引导，把刚才输入交给财务助手处理',
icon: 'mdi mdi-chat-processing-outline',
action_type: GUIDED_ACTION_PROCESS_INTERRUPTION
}
]
}
export function createGuidedStatusQueryState() {
return {
...createEmptyGuidedFlowState(),
mode: GUIDED_FLOW_MODE_STATUS_QUERY,
stepKey: 'query_mode'
}
}
export function buildGuidedStatusQueryStartText() {
return [
'你想按什么条件查询单据状态？',
'',
'先选查询方式，我再向你收集对应条件。'
].join('\n')
}
export function buildGuidedQueryModeActions() {
return GUIDED_QUERY_MODES.map((option) => ({
label: option.label,
description: option.description,
icon: option.icon,
action_type: GUIDED_ACTION_SELECT_QUERY_MODE,
payload: {
query_mode: option.key,
query_mode_label: option.label
}
}))
}
export function buildGuidedQueryStatusActions() {
return GUIDED_QUERY_STATUS_OPTIONS.map((option) => ({
label: option.label,
description: option.description,
icon: 'mdi mdi-checkbox-marked-circle-outline',
action_type: GUIDED_ACTION_SELECT_QUERY_STATUS,
payload: {
query_status: option.key,
query_status_label: option.label
}
}))
}
export function resolveGuidedQueryModeFromText(text) {
const normalized = normalizeText(text)
if (!normalized) return ''
const exact = GUIDED_QUERY_MODES.find((item) => normalized === item.label || normalized === item.key)
if (exact) return exact.key
if (/单号|编号|EXP-/i.test(normalized)) return 'claim_no'
if (/状态|草稿|审批|退回|归档|完成/.test(normalized)) return 'status'
if (/上周|本周|去年|今年|月份|时间|日期|[0-9]{4}-[0-9]{2}/.test(normalized)) return 'time_range'
return 'keyword'
}
export function selectGuidedQueryMode(state, queryMode) {
const current = normalizeGuidedFlowState(state)
const mode = GUIDED_QUERY_MODES.find((item) => item.key === normalizeText(queryMode))
if (!mode) {
return current
}
return {
...current,
mode: GUIDED_FLOW_MODE_STATUS_QUERY,
stepKey: mode.key === 'status' ? 'status_value' : 'query_value',
values: {
...current.values,
query_mode: mode.key,
query_mode_label: mode.label
},
pendingInterruptionText: ''
}
}
export function buildGuidedQueryPromptText(state) {
const current = normalizeGuidedFlowState(state)
const mode = normalizeText(current.values.query_mode)
if (!mode) {
return buildGuidedStatusQueryStartText()
}
if (mode === 'status') {
return [
'请选择要查询的单据状态。',
'',
'我会按所选状态筛选最近的报销单据。'
].join('\n')
}
const prompts = {
claim_no: '请输入报销单号，例如 EXP-202605-001。',
time_range: '请输入查询时间范围，例如：上周、今年 5 月、2025 年全年。',
keyword: '请输入地点、客户或事由关键词，例如：上海电力、北京、服务器部署。'
}
return prompts[mode] || '请补充查询条件。'
}
export function buildGuidedStatusQueryText(state, valueText) {
const current = normalizeGuidedFlowState(state)
const mode = normalizeText(current.values.query_mode)
const value = normalizeText(valueText)
if (mode === 'claim_no') {
return `帮我查询单号 ${value} 的报销单状态`
}
if (mode === 'status') {
return `帮我查询${value}的报销单据，筛选最近的 5 条记录`
}
if (mode === 'time_range') {
return `帮我查询${value}提交或发生的报销单据状态，筛选最近的 5 条记录`
}
return `帮我查询地点或事由包含“${value}”的报销单据状态，筛选最近的 5 条记录`
}

439
web/src/views/scripts/useTravelReimbursementGuidedFlow.js Normal file
View File

@@ -0,0 +1,439 @@
import { ref } from 'vue'
import {
GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW,
GUIDED_ACTION_CONTINUE_FILLING,
GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR,
GUIDED_ACTION_PROCESS_INTERRUPTION,
GUIDED_ACTION_SELECT_EXPENSE_TYPE,
GUIDED_ACTION_SELECT_QUERY_MODE,
GUIDED_ACTION_SELECT_QUERY_STATUS,
GUIDED_ACTION_START_REIMBURSEMENT,
GUIDED_ACTION_START_STATUS_QUERY,
GUIDED_FLOW_MODE_REIMBURSEMENT,
GUIDED_FLOW_MODE_STATUS_QUERY,
applyGuidedReimbursementAnswer,
buildGuidedExpenseTypeActions,
buildGuidedInterruptionActions,
buildGuidedInterruptionText,
buildGuidedQueryModeActions,
buildGuidedQueryPromptText,
buildGuidedQueryStatusActions,
buildGuidedReimbursementStartText,
buildGuidedReimbursementSummaryText,
buildGuidedReviewConfirmationActions,
buildGuidedReviewSubmitOptions,
buildGuidedStatusQueryStartText,
buildGuidedStatusQueryText,
buildGuidedStepPromptText,
createEmptyGuidedFlowState,
createGuidedReimbursementState,
createGuidedStatusQueryState,
getCurrentGuidedStep,
isGuidedFlowActive,
isGuidedReimbursementReadyForReview,
normalizeGuidedFlowState,
resolveGuidedExpenseTypeFromText,
resolveGuidedQueryModeFromText,
selectGuidedExpenseType,
selectGuidedQueryMode,
shouldConfirmGuidedInterruption
} from './travelReimbursementGuidedFlowModel.js'
function normalizeText(value) {
return String(value || '').trim()
}
function buildFileNames(files) {
return Array.from(files || [])
.map((file) => normalizeText(file?.name))
.filter(Boolean)
}
function mergePendingFiles(currentFiles, nextFiles) {
const merged = [...Array.from(currentFiles || [])]
Array.from(nextFiles || []).forEach((file) => {
const name = normalizeText(file?.name)
if (!name) return
const duplicated = merged.some((item) => normalizeText(item?.name) === name && Number(item?.size || 0) === Number(file?.size || 0))
if (!duplicated) {
merged.push(file)
}
})
return merged
}
export function useTravelReimbursementGuidedFlow({
guidedFlowState,
messages,
composerDraft,
attachedFiles,
composerBusinessTimeTags,
composerBusinessTimeDraftTouched,
fileInputRef,
submitting,
reviewActionBusy,
sessionSwitchBusy,
createMessage,
nextTick,
scrollToBottom,
persistSessionState,
clearAttachedFiles,
adjustComposerTextareaHeight,
buildComposerBusinessTimeContext,
openTravelCalculator,
lockSuggestedActionMessage,
submitExistingComposer,
toast
}) {
const guidedPendingFiles = ref([])
function persistAndScroll() {
persistSessionState()
nextTick(() => {
adjustComposerTextareaHeight?.()
scrollToBottom?.()
})
}
function clearComposerRuntime() {
composerDraft.value = ''
clearAttachedFiles?.()
if (fileInputRef?.value) {
fileInputRef.value.value = ''
}
if (composerBusinessTimeTags) {
composerBusinessTimeTags.value = []
}
if (composerBusinessTimeDraftTouched) {
composerBusinessTimeDraftTouched.value = false
}
}
function pushAssistant(text, extras = {}) {
messages.value.push(createMessage('assistant', text, [], extras))
}
function pushUser(text, attachmentNames = []) {
const normalizedText = normalizeText(text)
messages.value.push(createMessage('user', normalizedText || `上传 ${attachmentNames.length} 份附件`, attachmentNames))
}
function resetGuidedFlowState() {
guidedFlowState.value = createEmptyGuidedFlowState()
guidedPendingFiles.value = []
}
function startGuidedReimbursement() {
guidedFlowState.value = createGuidedReimbursementState()
guidedPendingFiles.value = []
pushAssistant(buildGuidedReimbursementStartText(), {
meta: ['引导式报销'],
suggestedActions: buildGuidedExpenseTypeActions()
})
persistAndScroll()
}
function startGuidedStatusQuery() {
guidedFlowState.value = createGuidedStatusQueryState()
guidedPendingFiles.value = []
pushAssistant(buildGuidedStatusQueryStartText(), {
meta: ['引导式查询'],
suggestedActions: buildGuidedQueryModeActions()
})
persistAndScroll()
}
function handleGuidedShortcut(shortcut) {
const actionType = normalizeText(shortcut?.action)
if (actionType === GUIDED_ACTION_START_REIMBURSEMENT) {
startGuidedReimbursement()
return true
}
if (actionType === GUIDED_ACTION_START_STATUS_QUERY) {
startGuidedStatusQuery()
return true
}
if (actionType === GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR) {
openTravelCalculator?.()
pushAssistant('差旅计算器已打开。你可以直接填写目的地、天数和金额，我会按规则中心标准帮你测算。', {
meta: ['差旅计算器']
})
persistAndScroll()
return true
}
return false
}
function buildAnswerText(rawText, state) {
const text = normalizeText(rawText)
if (text) {
return text
}
const currentStep = getCurrentGuidedStep(state)
if (currentStep?.key === 'time_range') {
const businessTimeContext = buildComposerBusinessTimeContext?.()
return normalizeText(businessTimeContext?.time_range || businessTimeContext?.business_time)
}
return ''
}
function pushNextReimbursementPrompt() {
pushAssistant(buildGuidedStepPromptText(guidedFlowState.value), {
meta: ['引导式报销']
})
}
function pushReimbursementSummary() {
pushAssistant(buildGuidedReimbursementSummaryText(guidedFlowState.value), {
meta: ['待生成核对信息'],
suggestedActions: buildGuidedReviewConfirmationActions()
})
}
function handleReimbursementAnswer(answerText, files) {
const currentState = normalizeGuidedFlowState(guidedFlowState.value)
const currentStep = getCurrentGuidedStep(currentState)
const fileNames = buildFileNames(files)
if (currentState.stepKey === 'expense_type') {
const expenseType = resolveGuidedExpenseTypeFromText(answerText)
if (!expenseType) {
pushAssistant('我还需要先确认报销类型。请点击下面最贴近的费用场景后，我再继续问下一项。', {
meta: ['等待选择报销类型'],
suggestedActions: buildGuidedExpenseTypeActions()
})
return
}
guidedFlowState.value = selectGuidedExpenseType(currentState, expenseType)
pushNextReimbursementPrompt()
return
}
if (!currentStep) {
pushAssistant(buildGuidedReimbursementStartText(), {
meta: ['引导式报销'],
suggestedActions: buildGuidedExpenseTypeActions()
})
return
}
if (!answerText && fileNames.length && currentStep.key !== 'attachments') {
guidedPendingFiles.value = mergePendingFiles(guidedPendingFiles.value, files)
pushAssistant([
`我已先记录 ${fileNames.length} 份附件。`,
'',
`当前还需要补充：${currentStep.summaryLabel}。`,
currentStep.prompt
].join('\n'), {
meta: ['已记录附件']
})
return
}
if (fileNames.length) {
guidedPendingFiles.value = mergePendingFiles(guidedPendingFiles.value, files)
}
guidedFlowState.value = applyGuidedReimbursementAnswer(currentState, answerText, fileNames)
if (isGuidedReimbursementReadyForReview(guidedFlowState.value)) {
pushReimbursementSummary()
return
}
pushNextReimbursementPrompt()
}
async function runStatusQuery(queryText, skipUserMessage = true) {
const normalizedQuery = normalizeText(queryText)
resetGuidedFlowState()
clearComposerRuntime()
persistAndScroll()
if (!normalizedQuery) {
return true
}
await submitExistingComposer({
rawText: normalizedQuery,
userText: normalizedQuery,
pendingText: '正在查询单据状态...',
skipUserMessage
})
return true
}
async function handleStatusQueryAnswer(answerText) {
const currentState = normalizeGuidedFlowState(guidedFlowState.value)
if (currentState.stepKey === 'query_mode') {
const queryMode = resolveGuidedQueryModeFromText(answerText)
if (!queryMode) {
pushAssistant(buildGuidedStatusQueryStartText(), {
meta: ['引导式查询'],
suggestedActions: buildGuidedQueryModeActions()
})
return true
}
guidedFlowState.value = selectGuidedQueryMode(currentState, queryMode)
const actions = guidedFlowState.value.stepKey === 'status_value' ? buildGuidedQueryStatusActions() : []
pushAssistant(buildGuidedQueryPromptText(guidedFlowState.value), {
meta: ['引导式查询'],
suggestedActions: actions
})
return true
}
const queryText = buildGuidedStatusQueryText(currentState, answerText)
return runStatusQuery(queryText, true)
}
async function handleGuidedComposerSubmit(options = {}) {
const currentState = normalizeGuidedFlowState(guidedFlowState.value)
if (!isGuidedFlowActive(currentState)) {
return false
}
if (options.systemGenerated || normalizeText(options.extraContext?.review_action)) {
return false
}
if (submitting.value || reviewActionBusy.value || sessionSwitchBusy.value) {
return true
}
const files = Array.from(options.files ?? attachedFiles.value ?? [])
const fileNames = buildFileNames(files)
const answerText = buildAnswerText(options.rawText ?? composerDraft.value, currentState)
if (!answerText && !fileNames.length) {
return true
}
pushUser(answerText, fileNames)
if (shouldConfirmGuidedInterruption(answerText, currentState) && !fileNames.length) {
guidedFlowState.value = {
...currentState,
pendingInterruptionText: answerText
}
pushAssistant(buildGuidedInterruptionText(answerText), {
meta: ['等待确认是否打断'],
suggestedActions: buildGuidedInterruptionActions()
})
clearComposerRuntime()
persistAndScroll()
return true
}
if (currentState.mode === GUIDED_FLOW_MODE_REIMBURSEMENT) {
handleReimbursementAnswer(answerText, files)
clearComposerRuntime()
persistAndScroll()
return true
}
if (currentState.mode === GUIDED_FLOW_MODE_STATUS_QUERY) {
clearComposerRuntime()
persistAndScroll()
await handleStatusQueryAnswer(answerText)
return true
}
return false
}
async function handleGuidedSuggestedAction(message, action) {
const actionType = normalizeText(action?.action_type)
if (!actionType) {
return false
}
const guidedActionTypes = new Set([
GUIDED_ACTION_SELECT_EXPENSE_TYPE,
GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW,
GUIDED_ACTION_CONTINUE_FILLING,
GUIDED_ACTION_PROCESS_INTERRUPTION,
GUIDED_ACTION_SELECT_QUERY_MODE,
GUIDED_ACTION_SELECT_QUERY_STATUS
])
if (!guidedActionTypes.has(actionType)) {
return false
}
if (submitting.value || reviewActionBusy.value || sessionSwitchBusy.value || message?.suggestedActionsLocked) {
return true
}
if (!lockSuggestedActionMessage(message, action)) {
return true
}
if (actionType === GUIDED_ACTION_SELECT_EXPENSE_TYPE) {
const expenseType = normalizeText(action?.payload?.expense_type)
const expenseTypeLabel = normalizeText(action?.payload?.expense_type_label || action?.label)
guidedFlowState.value = selectGuidedExpenseType(guidedFlowState.value, expenseType)
pushUser(`选择${expenseTypeLabel || '报销类型'}`)
pushNextReimbursementPrompt()
persistAndScroll()
return true
}
if (actionType === GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW) {
const submitOptions = buildGuidedReviewSubmitOptions(guidedFlowState.value, guidedPendingFiles.value)
resetGuidedFlowState()
persistAndScroll()
await submitExistingComposer(submitOptions)
return true
}
if (actionType === GUIDED_ACTION_CONTINUE_FILLING) {
const pendingState = {
...normalizeGuidedFlowState(guidedFlowState.value),
pendingInterruptionText: ''
}
guidedFlowState.value = pendingState
if (pendingState.mode === GUIDED_FLOW_MODE_STATUS_QUERY) {
pushAssistant(buildGuidedQueryPromptText(pendingState), {
meta: ['引导式查询'],
suggestedActions: pendingState.stepKey === 'status_value' ? buildGuidedQueryStatusActions() : []
})
} else {
pushNextReimbursementPrompt()
}
persistAndScroll()
return true
}
if (actionType === GUIDED_ACTION_PROCESS_INTERRUPTION) {
const pendingText = normalizeText(guidedFlowState.value?.pendingInterruptionText)
resetGuidedFlowState()
persistAndScroll()
await submitExistingComposer({
rawText: pendingText,
userText: pendingText,
pendingText: '正在处理你的问题...',
skipUserMessage: true
})
return true
}
if (actionType === GUIDED_ACTION_SELECT_QUERY_MODE) {
const queryMode = normalizeText(action?.payload?.query_mode)
const queryModeLabel = normalizeText(action?.payload?.query_mode_label || action?.label)
guidedFlowState.value = selectGuidedQueryMode(guidedFlowState.value, queryMode)
pushUser(`选择${queryModeLabel || '查询方式'}`)
pushAssistant(buildGuidedQueryPromptText(guidedFlowState.value), {
meta: ['引导式查询'],
suggestedActions: guidedFlowState.value.stepKey === 'status_value' ? buildGuidedQueryStatusActions() : []
})
persistAndScroll()
return true
}
if (actionType === GUIDED_ACTION_SELECT_QUERY_STATUS) {
const statusLabel = normalizeText(action?.payload?.query_status_label || action?.label)
pushUser(`选择${statusLabel || '单据状态'}`)
const queryText = buildGuidedStatusQueryText(guidedFlowState.value, statusLabel)
await runStatusQuery(queryText, true)
return true
}
return false
}
return {
handleGuidedShortcut,
handleGuidedComposerSubmit,
handleGuidedSuggestedAction,
resetGuidedFlowState
}
}

38
web/src/views/scripts/useTravelReimbursementSessionState.js
View File

@@ -15,6 +15,7 @@ import {
SESSION_TYPE_KNOWLEDGE,
buildInitialInsightFromConversation,
buildWelcomeInsight,
buildWelcomeQuickActions,
createWelcomeAssistantMessage,
hasMeaningfulSessionMessages,
normalizeInitialConversationMessages,
@@ -25,6 +26,10 @@ import {
serializeSessionMessages,
shouldPreferPersistedSessionState
} from './travelReimbursementConversationModel.js'
import {
createEmptyGuidedFlowState,
normalizeGuidedFlowState
} from './travelReimbursementGuidedFlowModel.js'
export function useTravelReimbursementSessionState({
props,
@@ -36,9 +41,26 @@ export function useTravelReimbursementSessionState({
scrollToBottom,
getSessionRuntimeRefs = () => ({})
}) {
function refreshWelcomeQuickActions(messages, sessionType) {
if (!Array.isArray(messages) || !messages.length) {
return []
}
const currentActions = buildWelcomeQuickActions(
sessionType,
currentUser.value,
props.entrySource,
linkedRequest.value
)
return messages.map((message) => (
message?.isWelcome
? { ...message, welcomeQuickActions: currentActions }
: message
))
}
function buildConversationSessionState(conversation, fallbackSessionType = SESSION_TYPE_EXPENSE) {
const sessionType = resolveInitialSessionType(conversation) || fallbackSessionType
const restoredMessages = normalizeInitialConversationMessages(conversation)
const restoredMessages = refreshWelcomeQuickActions(normalizeInitialConversationMessages(conversation), sessionType)
const initialInsight = buildInitialInsightFromConversation(conversation)
const restoredReviewFilePreviews = buildReviewFilePreviewsFromMessages(restoredMessages)
@@ -56,6 +78,7 @@ export function useTravelReimbursementSessionState({
attachedFiles: [],
composerFilesExpanded: false,
composerUploadIntent: '',
guidedFlowState: createEmptyGuidedFlowState(),
insightPanelCollapsed: false
}
}
@@ -79,6 +102,7 @@ export function useTravelReimbursementSessionState({
attachedFiles: [],
composerFilesExpanded: false,
composerUploadIntent: '',
guidedFlowState: createEmptyGuidedFlowState(),
insightPanelCollapsed: false
}
}
@@ -90,7 +114,7 @@ export function useTravelReimbursementSessionState({
}
const sessionType = String(state.sessionType || snapshot.sessionType || fallbackSessionType || '').trim() || SESSION_TYPE_EXPENSE
const restoredMessages = normalizeSnapshotMessages(state.messages)
const restoredMessages = refreshWelcomeQuickActions(normalizeSnapshotMessages(state.messages), sessionType)
if (
!hasMeaningfulSessionMessages(restoredMessages)
&& !String(state.conversationId || '').trim()
@@ -114,6 +138,7 @@ export function useTravelReimbursementSessionState({
attachedFiles: [],
composerFilesExpanded: false,
composerUploadIntent: String(state.composerUploadIntent || '').trim(),
guidedFlowState: normalizeGuidedFlowState(state.guidedFlowState),
insightPanelCollapsed: Boolean(state.insightPanelCollapsed)
}
}
@@ -155,6 +180,7 @@ export function useTravelReimbursementSessionState({
})
const currentInsight = ref(initialSessionState.currentInsight)
const composerUploadIntent = ref(String(initialSessionState.composerUploadIntent || '').trim())
const guidedFlowState = ref(normalizeGuidedFlowState(initialSessionState.guidedFlowState))
const insightPanelCollapsed = ref(false)
const sessionSwitchBusy = ref(false)
let knowledgeSessionResetPromise = Promise.resolve()
@@ -170,6 +196,7 @@ export function useTravelReimbursementSessionState({
reviewFilePreviews: filterPersistableFilePreviews(state.reviewFilePreviews),
composerDraft: String(state.composerDraft || ''),
composerUploadIntent: String(state.composerUploadIntent || '').trim(),
guidedFlowState: normalizeGuidedFlowState(state.guidedFlowState),
insightPanelCollapsed: Boolean(state.insightPanelCollapsed)
}
}
@@ -209,6 +236,7 @@ export function useTravelReimbursementSessionState({
attachedFiles: runtimeRefs.attachedFiles?.value ?? [],
composerFilesExpanded: runtimeRefs.composerFilesExpanded?.value ?? false,
composerUploadIntent: composerUploadIntent.value,
guidedFlowState: runtimeRefs.guidedFlowState?.value ?? guidedFlowState.value,
insightPanelCollapsed: insightPanelCollapsed.value
}
}
@@ -246,6 +274,11 @@ export function useTravelReimbursementSessionState({
runtimeRefs.composerFilesExpanded.value = Boolean(nextState.composerFilesExpanded)
}
composerUploadIntent.value = String(nextState.composerUploadIntent || '').trim()
const nextGuidedFlowState = normalizeGuidedFlowState(nextState.guidedFlowState)
guidedFlowState.value = nextGuidedFlowState
if (runtimeRefs.guidedFlowState) {
runtimeRefs.guidedFlowState.value = nextGuidedFlowState
}
insightPanelCollapsed.value = Boolean(nextState.insightPanelCollapsed)
nextTick(() => {
adjustComposerTextareaHeight()
@@ -322,6 +355,7 @@ export function useTravelReimbursementSessionState({
currentInsight,
reviewFilePreviews,
composerUploadIntent,
guidedFlowState,
insightPanelCollapsed,
sessionSwitchBusy,
initialSessionState,

4
web/src/views/scripts/useTravelReimbursementSubmitComposer.js
View File

@@ -685,8 +685,8 @@ export function useTravelReimbursementSubmitComposer(ctx) {
const backendMessage = buildBackendMessage(rawText, effectiveFileNames, effectiveOcrSummary)
const orchestratorOptions = isKnowledgeSession.value
? {
timeoutMs: 18000,
timeoutMessage: '知识问答整理超时，已停止等待。建议缩小问题范围或稍后重试。'
timeoutMs: 75000,
timeoutMessage: '知识问答仍在检索整理，已停止等待。请稍后重试，或补充制度名称、费用类型等限定条件。'
}
: {
timeoutMs: 120000,

29
web/tests/archive-center-list-filters.test.mjs
View File

@@ -18,10 +18,12 @@ const sampleRows = [
id: 'EXP-001',
typeCode: 'travel',
type: '差旅费',
archiveTypeCode: 'reimbursement',
archiveType: '报销',
department: '研发部',
archiveMonth: '2026-05',
archiveMonthLabel: '2026年05月',
archiveTab: '差旅报销',
archiveTab: '报销归档',
hasRisk: true,
riskTone: 'high',
risk: '2条',
@@ -31,10 +33,12 @@ const sampleRows = [
id: 'EXP-002',
typeCode: 'entertainment',
type: '业务招待费',
archiveTypeCode: 'reimbursement',
archiveType: '报销',
department: '销售部',
archiveMonth: '2026-04',
archiveMonthLabel: '2026年04月',
archiveTab: '招待报销',
archiveTab: '报销归档',
hasRisk: false,
riskTone: 'none',
risk: '0条',
@@ -80,14 +84,27 @@ test('applyArchiveListFilters supports department and archive month', () => {
assert.equal(filtered[0].id, 'EXP-002')
})
test('build filter options are derived from loaded rows', () => {
test('applyArchiveListFilters supports the unified reimbursement archive tab', () => {
const reimbursementRows = applyArchiveListFilters(sampleRows, {
tab: '报销归档'
})
const oldTravelRows = applyArchiveListFilters(sampleRows, {
tab: '差旅报销'
})
assert.equal(reimbursementRows.length, 2)
assert.equal(oldTravelRows.length, 0)
})
test('build filter options are derived from archive types', () => {
const typeLabels = buildTypeFilterOptions(sampleRows).map((item) => item.label)
const typeValues = buildTypeFilterOptions(sampleRows).map((item) => item.value)
const departmentLabels = buildDepartmentFilterOptions(sampleRows).map((item) => item.label)
const monthOptions = buildArchiveMonthFilterOptions(sampleRows)
assert.equal(typeLabels[0], '全部类型')
assert.ok(typeLabels.includes('差旅费'))
assert.ok(typeLabels.includes('业务招待费'))
assert.equal(typeLabels[0], '全部归档类型')
assert.deepEqual(typeValues, ['all', 'reimbursement'])
assert.deepEqual(typeLabels, ['全部归档类型', '报销'])
assert.equal(departmentLabels[0], '全部部门')
assert.ok(departmentLabels.includes('研发部'))
assert.ok(departmentLabels.includes('销售部'))

23
web/tests/expense-claim-archive.test.mjs
View File

@@ -32,3 +32,26 @@ test('archive center is wired into navigation and api client', () => {
assert.match(navigationScript, /id:\s*'archive'/)
assert.match(reimbursementsService, /\/reimbursements\/claims\/archives/)
})
test('archive center uses generic archive category and type wording', () => {
const archiveView = readFileSync(
fileURLToPath(new URL('../src/views/ArchiveCenterView.vue', import.meta.url)),
'utf8'
)
const archiveScript = readFileSync(
fileURLToPath(new URL('../src/views/scripts/ArchiveCenterView.js', import.meta.url)),
'utf8'
)
assert.match(archiveScript, /const tabs = \[ARCHIVE_TAB_ALL, ARCHIVE_TAB_REIMBURSEMENT\]/)
assert.match(archiveScript, /const ARCHIVE_TAB_REIMBURSEMENT = '报销归档'/)
assert.match(archiveScript, /archiveType:\s*ARCHIVE_TYPE_REIMBURSEMENT/)
assert.match(archiveScript, /archiveTypeCode:\s*ARCHIVE_TYPE_REIMBURSEMENT_CODE/)
assert.doesNotMatch(archiveScript, /'差旅报销'/)
assert.doesNotMatch(archiveScript, /'招待报销'/)
assert.doesNotMatch(archiveScript, /'其他费用'/)
assert.match(archiveView, /placeholder="搜索单号、申请人、部门、归档类型\.\.\."/)
assert.match(archiveView, /<th>归档类型<\/th>/)
assert.match(archiveView, /\{\{\s*row\.archiveType\s*\}\}/)
assert.doesNotMatch(archiveView, /<th>报销类型<\/th>/)
})

35
web/tests/knowledge-ingest-log-model.test.mjs
View File

@@ -26,8 +26,26 @@ function buildRun() {
chunk_count: 5,
entity_count: 3,
relation_count: 2,
entities: ['远光软件', '支出管理'],
relations: [{ source: '远光软件', target: '支出管理', type: '关联' }]
entities: [
{
name: '远光软件',
type: 'ORGANIZATION',
description: '远光软件是支出管理制度的公司主体。',
descriptions: ['远光软件是支出管理制度的公司主体。'],
properties: { created_at: '2026-05-23' }
},
'支出管理'
],
relations: [
{
source: '远光软件',
target: '支出管理',
type: '约束',
description: '通过制度约束支出审批。',
keywords: ['制度', '审批'],
weight: 2.5
}
]
},
documents: [
{
@@ -40,7 +58,8 @@ function buildRun() {
chunk_count: 3,
entity_count: 2,
relation_count: 1,
chunks: [{ id: 'chunk-1', order: 0, tokens: 21, summary: '支出管理范围' }],
chunks: [{ id: 'chunk-1', order: 0, tokens: 21, summary: '支出管理范围', excerpt: '支出管理范围正文' }],
entity_chunks: [{ entity: '支出管理', chunk_ids: ['chunk-1'] }],
sections: [{ title: '第一章 总则', excerpt: '适用于公司支出。' }],
events: [{ at: '2026-05-22T08:00:00Z', level: 'info', message: '完成' }]
},
@@ -75,8 +94,18 @@ function testBuildsInteractiveModel() {
assert.equal(model.documents.length, 2)
assert.equal(model.documents[0].statusLabel, '已完成')
assert.equal(model.documents[0].chunks[0].summary, '支出管理范围')
assert.equal(model.documents[0].chunks[0].excerpt, '支出管理范围正文')
assert.deepEqual(model.documents[0].entityChunks, [{ entity: '支出管理', chunkIds: ['chunk-1'] }])
assert.deepEqual(model.documents[1].chunks, [])
assert.deepEqual(model.documents[1].sections, [])
assert.deepEqual(model.documents[1].events, [])
assert.equal(model.graph.entityCount, 3)
assert.equal(model.graph.entities[0].name, '远光软件')
assert.equal(model.graph.entities[0].type, 'ORGANIZATION')
assert.equal(model.graph.entities[0].descriptions[0], '远光软件是支出管理制度的公司主体。')
assert.equal(model.graph.relations[0].source, '远光软件')
assert.equal(model.graph.relations[0].description, '通过制度约束支出审批。')
assert.deepEqual(model.graph.relations[0].keywords, ['制度', '审批'])
assert.equal(model.metrics[1].value, '5')
}

5
web/tests/travel-reimbursement-composer-tools.test.mjs
View File

@@ -38,3 +38,8 @@ test('composer keeps backend raw text but displays structured user message', ()
assert.match(submitComposerScript, /const rawText = resolveComposerSubmitText\(options\.rawText\)\.trim\(\)/)
assert.match(submitComposerScript, /resolveComposerDisplaySubmitText\(rawText\)/)
})
test('knowledge questions keep enough request time for LightRAG retrieval', () => {
assert.match(submitComposerScript, /timeoutMs:\s*75000/)
assert.match(submitComposerScript, /知识问答仍在检索整理/)
})

189
web/tests/travel-reimbursement-guided-flow.test.mjs Normal file
View File

@@ -0,0 +1,189 @@
import assert from 'node:assert/strict'
import { readFileSync } from 'node:fs'
import test from 'node:test'
import { fileURLToPath } from 'node:url'
import {
EXPENSE_WELCOME_QUICK_ACTIONS,
SESSION_TYPE_EXPENSE,
SESSION_TYPE_KNOWLEDGE,
buildWelcomeQuickActions
} from '../src/views/scripts/travelReimbursementConversationModel.js'
import {
GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW,
GUIDED_ACTION_CONTINUE_FILLING,
GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR,
GUIDED_ACTION_PROCESS_INTERRUPTION,
GUIDED_ACTION_SELECT_EXPENSE_TYPE,
GUIDED_ACTION_SELECT_QUERY_MODE,
GUIDED_ACTION_SELECT_QUERY_STATUS,
GUIDED_ACTION_START_REIMBURSEMENT,
GUIDED_ACTION_START_STATUS_QUERY,
GUIDED_FLOW_MODE_REIMBURSEMENT,
GUIDED_FLOW_MODE_STATUS_QUERY,
applyGuidedReimbursementAnswer,
buildGuidedExpenseTypeActions,
buildGuidedInterruptionActions,
buildGuidedQueryModeActions,
buildGuidedQueryStatusActions,
buildGuidedReimbursementSummaryText,
buildGuidedReviewConfirmationActions,
buildGuidedReviewSubmitOptions,
buildGuidedStatusQueryText,
buildGuidedStepPromptText,
createEmptyGuidedFlowState,
createGuidedReimbursementState,
createGuidedStatusQueryState,
isGuidedReimbursementReadyForReview,
normalizeGuidedFlowState,
selectGuidedExpenseType,
selectGuidedQueryMode,
shouldConfirmGuidedInterruption
} from '../src/views/scripts/travelReimbursementGuidedFlowModel.js'
const createViewScript = readFileSync(
fileURLToPath(new URL('../src/views/scripts/TravelReimbursementCreateView.js', import.meta.url)),
'utf8'
)
const guidedFlowScript = readFileSync(
fileURLToPath(new URL('../src/views/scripts/useTravelReimbursementGuidedFlow.js', import.meta.url)),
'utf8'
)
const sessionStateScript = readFileSync(
fileURLToPath(new URL('../src/views/scripts/useTravelReimbursementSessionState.js', import.meta.url)),
'utf8'
)
test('welcome quick actions are reduced to three guided local actions', () => {
assert.deepEqual(
EXPENSE_WELCOME_QUICK_ACTIONS.map((item) => item.label),
['快速发起报销', '查询单据状态', '差旅计算器']
)
assert.deepEqual(
EXPENSE_WELCOME_QUICK_ACTIONS.map((item) => item.action),
[
GUIDED_ACTION_START_REIMBURSEMENT,
GUIDED_ACTION_START_STATUS_QUERY,
GUIDED_ACTION_OPEN_TRAVEL_CALCULATOR
]
)
assert.ok(EXPENSE_WELCOME_QUICK_ACTIONS.every((item) => !item.prompt))
assert.equal(buildWelcomeQuickActions(SESSION_TYPE_EXPENSE).length, 3)
assert.notDeepEqual(
buildWelcomeQuickActions(SESSION_TYPE_KNOWLEDGE).map((item) => item.label),
EXPENSE_WELCOME_QUICK_ACTIONS.map((item) => item.label),
'knowledge hot questions should stay independent'
)
})
test('guided reimbursement asks type first and walks travel fields in order', () => {
const typeActions = buildGuidedExpenseTypeActions()
assert.deepEqual(
typeActions.map((action) => action.label),
['差旅费', '交通费', '住宿费', '业务招待费', '办公用品费', '其他费用']
)
assert.ok(typeActions.every((action) => action.action_type === GUIDED_ACTION_SELECT_EXPENSE_TYPE))
let state = createGuidedReimbursementState()
assert.equal(state.mode, GUIDED_FLOW_MODE_REIMBURSEMENT)
assert.equal(state.stepKey, 'expense_type')
state = selectGuidedExpenseType(state, 'travel')
assert.equal(state.stepKey, 'reason')
assert.match(buildGuidedStepPromptText(state), /第 1 步：事由/)
state = applyGuidedReimbursementAnswer(state, '去上海支持上海电力部署项目')
assert.equal(state.stepKey, 'location')
state = applyGuidedReimbursementAnswer(state, '上海')
assert.equal(state.stepKey, 'time_range')
state = applyGuidedReimbursementAnswer(state, '2026-05-20 至 2026-05-23，出差 3 天')
assert.equal(state.stepKey, 'amount')
state = applyGuidedReimbursementAnswer(state, '待核算')
assert.equal(state.stepKey, 'attachments')
state = applyGuidedReimbursementAnswer(state, '稍后上传')
assert.ok(isGuidedReimbursementReadyForReview(state))
assert.match(buildGuidedReimbursementSummaryText(state), /已完成“差旅费”的引导填写/)
assert.deepEqual(
buildGuidedReviewConfirmationActions().map((action) => action.action_type),
[GUIDED_ACTION_CONFIRM_REIMBURSEMENT_REVIEW]
)
const submitOptions = buildGuidedReviewSubmitOptions(state)
assert.equal(submitOptions.systemGenerated, true)
assert.equal(submitOptions.extraContext.expense_scene_selection.expense_type, 'travel')
assert.equal(submitOptions.extraContext.review_form_values.expense_type, '差旅费')
assert.match(submitOptions.rawText, /事由：去上海支持上海电力部署项目/)
assert.match(submitOptions.rawText, /出差时间\/天数：2026-05-20 至 2026-05-23，出差 3 天/)
})
test('guided reimbursement interrupts suspicious questions before expensive flow', () => {
const state = selectGuidedExpenseType(createGuidedReimbursementState(), 'transport')
assert.equal(shouldConfirmGuidedInterruption('送客户去机场', state), false)
assert.equal(shouldConfirmGuidedInterruption('帮我查询一下上周的报销状态？', state), true)
assert.deepEqual(
buildGuidedInterruptionActions().map((action) => action.action_type),
[GUIDED_ACTION_CONTINUE_FILLING, GUIDED_ACTION_PROCESS_INTERRUPTION]
)
})
test('status query guide collects a query mode before calling existing query flow', () => {
let state = createGuidedStatusQueryState()
assert.equal(state.mode, GUIDED_FLOW_MODE_STATUS_QUERY)
assert.equal(state.stepKey, 'query_mode')
assert.ok(buildGuidedQueryModeActions().every((action) => action.action_type === GUIDED_ACTION_SELECT_QUERY_MODE))
state = selectGuidedQueryMode(state, 'status')
assert.equal(state.stepKey, 'status_value')
assert.ok(buildGuidedQueryStatusActions().every((action) => action.action_type === GUIDED_ACTION_SELECT_QUERY_STATUS))
assert.equal(buildGuidedStatusQueryText(state, '已归档'), '帮我查询已归档的报销单据，筛选最近的 5 条记录')
const keywordState = selectGuidedQueryMode(createGuidedStatusQueryState(), 'keyword')
assert.equal(keywordState.stepKey, 'query_value')
assert.equal(
buildGuidedStatusQueryText(keywordState, '上海电力'),
'帮我查询地点或事由包含“上海电力”的报销单据状态，筛选最近的 5 条记录'
)
})
test('guided flow state is serializable and restored through session state', () => {
const empty = createEmptyGuidedFlowState()
assert.deepEqual(normalizeGuidedFlowState({ mode: 'bad' }), empty)
assert.deepEqual(
normalizeGuidedFlowState({
mode: GUIDED_FLOW_MODE_REIMBURSEMENT,
stepKey: 'amount',
expenseType: 'travel',
values: {
amount: 200,
attachment_names: ['a.pdf', '', 'a.pdf']
},
pendingInterruptionText: '查询状态？'
}),
{
mode: GUIDED_FLOW_MODE_REIMBURSEMENT,
stepKey: 'amount',
expenseType: 'travel',
values: {
amount: '200',
attachment_names: ['a.pdf']
},
pendingInterruptionText: '查询状态？'
}
)
assert.match(sessionStateScript, /guidedFlowState:\s*normalizeGuidedFlowState\(state\.guidedFlowState\)/)
assert.match(sessionStateScript, /runtimeRefs\.guidedFlowState\?\.value/)
assert.match(sessionStateScript, /guidedFlowState,\s*\n\s*insightPanelCollapsed/)
assert.match(sessionStateScript, /function refreshWelcomeQuickActions/)
assert.match(sessionStateScript, /buildWelcomeQuickActions\(/)
})
test('guided flow is local until final confirmation or collected query handoff', () => {
assert.doesNotMatch(guidedFlowScript, /runOrchestrator/)
assert.doesNotMatch(guidedFlowScript, /startExpenseClaimDraftFlowStep/)
assert.doesNotMatch(guidedFlowScript, /review_action:\s*['"]save_draft['"]/)
assert.match(createViewScript, /if \(await handleGuidedComposerSubmit\(options\)\) \{[\s\S]*return null[\s\S]*\}[\s\S]*return submitComposerInternal\(options\)/)
assert.match(guidedFlowScript, /submitExistingComposer\(submitOptions\)/)
assert.match(guidedFlowScript, /submitExistingComposer\(\{[\s\S]*pendingText:\s*'正在查询单据状态\.\.\.'/)
})