feat: 增强差旅报销审核流程与票据智能推理
优化本体解析和编排器的差旅场景处理能力，完善报销单草稿 保存和费用明细同步逻辑，前端报销创建页面增加行程推理和 票据审核交互，新增助手会话快照工具函数，补充单元测试。
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caoxiaozhu
@@ -62,11 +62,13 @@ AMOUNT_PATTERN = re.compile(
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TOP_N_PATTERN = re.compile(r"(?:top|TOP|前|最高的?|最低的?)\s*(?P<top>\d+)")
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SCENARIO_KEYWORDS = {
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"expense": (
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("报销", 0.20),
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("报账", 0.20),
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("差旅", 0.20),
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("费用", 0.14),
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"expense": (
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("报销", 0.20),
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("报销单", 0.20),
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("单据报销", 0.18),
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("报账", 0.20),
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("差旅", 0.20),
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("费用", 0.14),
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("发票", 0.14),
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("票据", 0.12),
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("借款", 0.12),
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@@ -249,16 +251,51 @@ MISSING_SLOT_LABELS = {
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"document_id": "单据号",
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}
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STATUS_KEYWORDS = {
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"逾期": "overdue",
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"待审批": "pending",
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"待审": "pending",
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"已审批": "approved",
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"已通过": "approved",
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"已付款": "paid",
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"未付款": "unpaid",
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"未回款": "unreceived",
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}
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STATUS_KEYWORDS = {
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"草稿": "draft",
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"待提交": "draft",
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"待补充": "supplement",
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"退回": "returned",
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"已退回": "returned",
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"进行中": "review",
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"审批中": "review",
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"审核中": "review",
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"流转中": "review",
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"已提交": "submitted",
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"逾期": "overdue",
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"待审批": "pending",
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"待审": "pending",
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"已审批": "approved",
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"已通过": "approved",
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"已审核": "approved",
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"已入账": "paid",
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"已付款": "paid",
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"未付款": "unpaid",
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"未回款": "unreceived",
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}
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LOCATION_KEYWORDS = (
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"北京",
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"上海",
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"广州",
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"深圳",
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"杭州",
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"南京",
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"苏州",
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"成都",
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"重庆",
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"天津",
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"武汉",
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"西安",
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"郑州",
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"长沙",
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"青岛",
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"厦门",
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"宁波",
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"合肥",
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"济南",
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"福州",
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)
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PRIVILEGED_ROLE_CODES = {"manager", "finance", "approver", "executive"}
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CONTEXTUAL_SCENARIOS = {"expense", "accounts_receivable", "accounts_payable", "knowledge"}
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@@ -683,9 +720,13 @@ class SemanticOntologyService:
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scores[scenario] += weight
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best_scenario = max(scores, key=scores.get)
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best_score = scores[best_scenario]
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if best_score <= 0:
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return "unknown", 0.0
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best_score = scores[best_scenario]
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if best_score <= 0:
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if "单据" in compact_query and any(
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keyword in compact_query for keyword in STATUS_KEYWORDS
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):
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return "expense", 0.14
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return "unknown", 0.0
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if best_scenario == "knowledge":
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business_scores = [
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@@ -701,18 +742,52 @@ class SemanticOntologyService:
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return best_scenario, round(min(best_score, 0.34), 2)
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def _detect_intent(
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self,
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compact_query: str,
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def _detect_intent(
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self,
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compact_query: str,
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*,
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scenario: str,
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entities: list[OntologyEntity],
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time_range: OntologyTimeRange,
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) -> tuple[str, float]:
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if any(keyword in compact_query for keyword in OPERATE_KEYWORDS):
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return "operate", 0.30
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if any(keyword in compact_query for keyword in DRAFT_KEYWORDS):
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return "draft", 0.26
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) -> tuple[str, float]:
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if any(keyword in compact_query for keyword in OPERATE_KEYWORDS):
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return "operate", 0.30
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status_document_query = (
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"单据" in compact_query
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and any(keyword in compact_query for keyword in STATUS_KEYWORDS)
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and not any(keyword in compact_query for keyword in DRAFT_KEYWORDS if keyword != "草稿")
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)
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historical_document_query = any(
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keyword in compact_query
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for keyword in ("报销的单据", "报销单据", "报销过的单据", "报销记录")
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)
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if scenario == "expense" and any(
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keyword in compact_query
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for keyword in (
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"报销了吗",
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"报销了么",
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"报销了没",
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"报销了没有",
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"报销没",
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"单据状态",
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"审批状态",
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"报销进度",
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"到哪了",
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"到了哪",
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"有没有报销",
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"是否报销",
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"进行中的单据",
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"草稿单据",
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"草稿的单据",
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"待补充单据",
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"审批中的单据",
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"已提交单据",
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"已入账单据",
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)
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) or (scenario == "expense" and (status_document_query or historical_document_query)):
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return "query", 0.24
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if any(keyword in compact_query for keyword in DRAFT_KEYWORDS):
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return "draft", 0.26
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if scenario == "expense" and self._is_generic_expense_prompt(compact_query):
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return "draft", 0.24
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if any(keyword in compact_query for keyword in COMPARE_KEYWORDS):
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@@ -1177,13 +1252,16 @@ class SemanticOntologyService:
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upsert(self._make_entity("receivable", code, code.upper()))
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for code in re.findall(r"AP-\d{6}-\d{3}", query, flags=re.IGNORECASE):
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upsert(self._make_entity("payable", code, code.upper()))
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for code in re.findall(r"INV-[A-Z]+-\d+", query, flags=re.IGNORECASE):
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upsert(self._make_entity("invoice", code, code.upper()))
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for code in re.findall(r"CTR-[A-Z]+-\d+", query, flags=re.IGNORECASE):
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upsert(self._make_entity("contract", code, code.upper()))
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for label, normalized in EXPENSE_TYPE_KEYWORDS.items():
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if label in query:
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for code in re.findall(r"INV-[A-Z]+-\d+", query, flags=re.IGNORECASE):
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upsert(self._make_entity("invoice", code, code.upper()))
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for code in re.findall(r"CTR-[A-Z]+-\d+", query, flags=re.IGNORECASE):
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upsert(self._make_entity("contract", code, code.upper()))
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for location in LOCATION_KEYWORDS:
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if location in query:
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upsert(self._make_entity("location", location, location, role="filter", confidence=0.86))
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for label, normalized in EXPENSE_TYPE_KEYWORDS.items():
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if label in query:
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upsert(self._make_entity("expense_type", label, normalized, role="filter"))
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has_customer_entertainment_signal = "客户" in query and any(
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@@ -1339,11 +1417,17 @@ class SemanticOntologyService:
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start = date(today.year, start_month, 1)
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end = date(today.year, end_month, calendar.monthrange(today.year, end_month)[1])
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return self._range(start, end, "本季度", "quarter"), 0.10
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if "今年" in query:
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return (
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self._range(date(today.year, 1, 1), date(today.year, 12, 31), "今年", "year"),
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0.10,
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)
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if "今年" in query:
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return (
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self._range(date(today.year, 1, 1), date(today.year, 12, 31), "今年", "year"),
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0.10,
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)
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if "去年" in query or "上一年" in query:
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year = today.year - 1
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return (
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self._range(date(year, 1, 1), date(year, 12, 31), "去年", "year"),
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0.10,
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)
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match = DATE_RANGE_PATTERN.search(query)
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if match:
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@@ -1491,10 +1575,11 @@ class SemanticOntologyService:
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"employee",
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"department",
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"customer",
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"vendor",
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"project",
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"expense_type",
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}:
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"vendor",
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"project",
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"location",
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"expense_type",
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}:
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upsert(
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OntologyConstraint(
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field=entity.type,
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