Merge branch 'codex/lsfx-mock-random-hit-rule-backend' into dev

docs/reports/implementation/2026-03-20-lsfx-mock-random-hit-rule-backend-record.md

@@ -0,0 +1,43 @@
+# LSFX Mock 随机命中规则后端实施记录
+
+## 修改范围
+- `lsfx-mock-server/services/file_service.py`
+- `lsfx-mock-server/services/statement_rule_samples.py`
+- `lsfx-mock-server/services/statement_service.py`
+- `lsfx-mock-server/tests/test_file_service.py`
+- `lsfx-mock-server/tests/test_statement_service.py`
+- `lsfx-mock-server/tests/integration/test_full_workflow.py`
+- `sql/migration/2026-03-20-lsfx-mock-random-hit-rule-purchase-baseline.sql`
+
+## 规则命中计划生成方式
+- 在 `FileService` 中新增 `LARGE_TRANSACTION_RULE_CODES` 与 `PHASE1_RULE_CODES` 两组规则池。
+- 新增 `_build_rule_hit_plan(log_id)`，使用 `random.Random(f"rule-plan:{log_id}")` 生成稳定随机源。
+- 通过 `_pick_rule_subset()` 从两组规则池内分别稳定选出 `2-4` 条规则，并保留规则池原始顺序。
+- 在 `upload_file()` 与 `fetch_inner_flow()` 创建 `FileRecord` 时同步写入：
+  - `large_transaction_hit_rules`
+  - `phase1_hit_rules`
+
+## 样本模块按规则子集装配
+- 将原有“大额交易全量样本”拆成按规则代码独立调用的 builder。
+- 新增 `LARGE_TRANSACTION_BUILDERS` 与 `PHASE1_RULE_BUILDERS` 两组映射，覆盖：
+  - 大额交易 8 条规则
+  - 第一期可由银行流水构造的 8 条规则
+- 提供统一入口 `build_seed_statements_for_rule_plan(...)`，仅按 `rule_plan` 中被选中的规则拼装最小命中样本，不再默认返回全量命中样本。
+- `build_large_transaction_seed_statements(...)` 保留为兼容测试入口，但内部已改为走新的规则映射。
+
+## StatementService 接通方式
+- `StatementService._generate_statements()` 改为优先读取 `FileRecord` 中保存的命中计划。
+- 若存在真实 `FileRecord`，则复用其主体、账号、员工及亲属身份证范围，并把命中计划传给 `build_seed_statements_for_rule_plan(...)`。
+- 命中样本与随机噪声流水继续统一走 `_assign_statement_ids()` 分配稳定 ID。
+- 首次生成后仍缓存固定 `200` 条流水；同一 `logId` 重复分页读取保持结果稳定。
+
+## LARGE_PURCHASE_TRANSACTION 单独补数据库基线原因
+- `LARGE_PURCHASE_TRANSACTION` 的真实命中来源是 `ccdi_purchase_transaction`，不依赖 `ccdi_bank_statement`。
+- 为避免伪造银行流水造成业务链路偏移，本次不把该规则塞进 Mock 流水样本。
+- 通过新增 `sql/migration/2026-03-20-lsfx-mock-random-hit-rule-purchase-baseline.sql`，只补一条最小采购记录 `LSFXMOCKPUR001`。
+- 脚本通过 `ccdi_base_staff` 选取一条真实员工主数据作为 `applicant_id/applicant_name` 来源，`actual_amount=186000.00`，满足真实 SQL 的 `>100000` 命中门槛。
+
+## 实施结果
+- `FileService -> StatementService -> 缓存分页` 主链路保持不变。
+- 大额交易规则与第一期新增规则均已支持“按 `logId` 稳定随机命中一部分”。
+- `LARGE_PURCHASE_TRANSACTION` 已通过独立数据库基线补齐联调数据来源。

docs/tests/records/2026-03-20-lsfx-mock-random-hit-rule-backend-verification.md

@@ -0,0 +1,70 @@
+# LSFX Mock 随机命中规则后端验证记录
+
+## 执行命令
+
+```bash
+cd lsfx-mock-server
+python3 -m pytest tests/test_file_service.py -k "rule_hit_plan or persist_rule_hit_plan" -v
+python3 -m pytest tests/test_statement_service.py -k "rule_plan_should_only_include or withdraw_cnt_samples" -v
+python3 -m pytest tests/test_statement_service.py -k "follow_rule_hit_plan or fixed_total_count_200 or cached_result" -v
+python3 -m pytest tests/integration/test_full_workflow.py -k "same_rule_subset or share_same_primary_binding" -v
+python3 -m pytest tests/test_file_service.py tests/test_statement_service.py tests/test_api.py tests/integration/test_full_workflow.py -v
+
+cd ..
+bin/mysql_utf8_exec.sh sql/migration/2026-03-20-lsfx-mock-random-hit-rule-purchase-baseline.sql
+python3 - <<'PY'
+import pymysql
+from pathlib import Path
+import re
+
+text = Path('ruoyi-admin/src/main/resources/application-dev.yml').read_text(encoding='utf-8')
+match = re.search(r"url:\s*jdbc:mysql://(?P<host>[^:/?#]+):(?P<port>\d+)/(?P<db>[^?\n]+).*?\n\s*username:\s*(?P<user>[^\n]+)\n\s*password:\s*(?P<pwd>[^\n]+)", text, re.S)
+conn = pymysql.connect(
+    host=match.group('host'),
+    port=int(match.group('port')),
+    user=match.group('user').strip(),
+    password=match.group('pwd').strip(),
+    database=match.group('db').strip(),
+    charset='utf8mb4',
+    cursorclass=pymysql.cursors.DictCursor,
+)
+with conn, conn.cursor() as cursor:
+    cursor.execute("""
+        SELECT COUNT(1) AS cnt
+        FROM ccdi_purchase_transaction
+        WHERE purchase_id = 'LSFXMOCKPUR001'
+          AND actual_amount > 100000
+    """)
+    print(cursor.fetchone()['cnt'])
+PY
+```
+
+## 执行时间与结果
+- 2026-03-20 14:50 CST 完成目标回归：
+  `python3 -m pytest tests/test_file_service.py tests/test_statement_service.py tests/test_api.py tests/integration/test_full_workflow.py -v`
+- 回归结果：`38 passed, 20 warnings in 4.20s`
+- warnings 为现有 `pydantic` 与 `httpx` 弃用提示，本次改动未新增失败或 error。
+
+## SQL 基线脚本执行结果
+- 执行命令：`bin/mysql_utf8_exec.sh sql/migration/2026-03-20-lsfx-mock-random-hit-rule-purchase-baseline.sql`
+- 执行结果：脚本执行成功，无报错输出。
+- 脚本内容采用“先删后插”的幂等方式，避免重复执行造成脏数据。
+
+## 采购基线查询结果
+- 执行前查询：
+  `SELECT COUNT(1) FROM ccdi_purchase_transaction WHERE purchase_id = 'LSFXMOCKPUR001'`
+  返回 `0`
+- 执行后查询：
+  `SELECT purchase_id, actual_amount, supplier_name FROM ccdi_purchase_transaction WHERE purchase_id = 'LSFXMOCKPUR001'`
+  返回：
+  - `purchase_id = LSFXMOCKPUR001`
+  - `actual_amount = 186000.00`
+  - `supplier_name = 兰溪市联调供应链有限公司`
+- 最终门槛校验：
+  `SELECT COUNT(1) ... WHERE purchase_id = 'LSFXMOCKPUR001' AND actual_amount > 100000`
+  返回 `1`
+
+## 是否发现回归
+- 未发现本次改动引入的功能回归。
+- `FileService` 的规则命中计划生成、`statement_rule_samples.py` 的按规则子集装配、`StatementService` 的缓存稳定性、端到端接口链路均已通过验证。
+- 本次验证未启动额外前后端常驻进程，因此无需执行进程清理。

lsfx-mock-server/services/file_service.py

@@ -9,6 +9,28 @@ from datetime import datetime, timedelta
 import random
 import uuid
 
+LARGE_TRANSACTION_RULE_CODES = [
+    "HOUSE_OR_CAR_EXPENSE",
+    "TAX_EXPENSE",
+    "SINGLE_LARGE_INCOME",
+    "CUMULATIVE_INCOME",
+    "ANNUAL_TURNOVER",
+    "LARGE_CASH_DEPOSIT",
+    "FREQUENT_CASH_DEPOSIT",
+    "LARGE_TRANSFER",
+]
+
+PHASE1_RULE_CODES = [
+    "GAMBLING_SENSITIVE_KEYWORD",
+    "SPECIAL_AMOUNT_TRANSACTION",
+    "SUSPICIOUS_INCOME_KEYWORD",
+    "FOREX_BUY_AMT",
+    "FOREX_SELL_AMT",
+    "STOCK_TFR_LARGE",
+    "LARGE_STOCK_TRADING",
+    "WITHDRAW_CNT",
+]
+
 
 @dataclass
 class FileRecord:
@@ -64,6 +86,8 @@ class FileRecord:
     staff_name: str = ""
     staff_id_card: str = ""
     family_id_cards: List[str] = field(default_factory=list)
+    large_transaction_hit_rules: List[str] = field(default_factory=list)
+    phase1_hit_rules: List[str] = field(default_factory=list)
 
 
 class FileService:
@@ -110,6 +134,27 @@ class FileService:
             "enterpriseNameList": [primary_enterprise_name],
         }
 
+    def _pick_rule_subset(
+        self,
+        rng: random.Random,
+        rule_codes: List[str],
+        min_count: int,
+        max_count: int,
+    ) -> List[str]:
+        """按固定随机源选择稳定规则子集，并保留规则池原始顺序。"""
+        selected_codes = set(rng.sample(rule_codes, rng.randint(min_count, max_count)))
+        return [rule_code for rule_code in rule_codes if rule_code in selected_codes]
+
+    def _build_rule_hit_plan(self, log_id: int) -> dict:
+        """基于 logId 生成稳定的规则命中计划。"""
+        rng = random.Random(f"rule-plan:{log_id}")
+        return {
+            "large_transaction_hit_rules": self._pick_rule_subset(
+                rng, LARGE_TRANSACTION_RULE_CODES, 2, 4
+            ),
+            "phase1_hit_rules": self._pick_rule_subset(rng, PHASE1_RULE_CODES, 2, 4),
+        }
+
     def _create_file_record(
         self,
         *,
@@ -130,6 +175,8 @@ class FileService:
         staff_name: str = "",
         staff_id_card: str = "",
         family_id_cards: List[str] = None,
+        large_transaction_hit_rules: List[str] = None,
+        phase1_hit_rules: List[str] = None,
         parsing: bool = True,
         status: int = -5,
     ) -> FileRecord:
@@ -160,6 +207,8 @@ class FileService:
             staff_name=staff_name,
             staff_id_card=staff_id_card,
             family_id_cards=list(family_id_cards or []),
+            large_transaction_hit_rules=list(large_transaction_hit_rules or []),
+            phase1_hit_rules=list(phase1_hit_rules or []),
             parsing=parsing,
             status=status,
         )
@@ -187,6 +236,7 @@ class FileService:
 
         # 推断银行信息
         bank_name, template_name = self._infer_bank_name(file.filename)
+        rule_hit_plan = self._build_rule_hit_plan(log_id)
 
         # 生成合理的交易日期范围
         end_date = datetime.now()
@@ -217,6 +267,8 @@ class FileService:
             staff_name=identity_scope["staff_name"],
             staff_id_card=identity_scope["staff_id_card"],
             family_id_cards=identity_scope["family_id_cards"],
+            large_transaction_hit_rules=rule_hit_plan["large_transaction_hit_rules"],
+            phase1_hit_rules=rule_hit_plan["phase1_hit_rules"],
         )
 
         # 存储记录
@@ -521,6 +573,7 @@ class FileService:
         # 使用递增 logId，确保与上传链路一致
         self.log_counter += 1
         log_id = self.log_counter
+        rule_hit_plan = self._build_rule_hit_plan(log_id)
 
         primary_enterprise_name, primary_account_no = self._generate_primary_binding()
         identity_scope = self._select_staff_identity_scope()
@@ -542,6 +595,8 @@ class FileService:
             staff_name=identity_scope["staff_name"],
             staff_id_card=identity_scope["staff_id_card"],
             family_id_cards=identity_scope["family_id_cards"],
+            large_transaction_hit_rules=rule_hit_plan["large_transaction_hit_rules"],
+            phase1_hit_rules=rule_hit_plan["phase1_hit_rules"],
             parsing=False,
         )
 

lsfx-mock-server/services/statement_rule_samples.py

@@ -141,6 +141,468 @@ def _build_statement(
     }
 
 
+def _build_sample_context(
+    log_id: int,
+    primary_enterprise_name: Optional[str] = None,
+    primary_account_no: Optional[str] = None,
+    staff_id_card: Optional[str] = None,
+    family_id_cards: Optional[List[str]] = None,
+) -> Dict[str, str]:
+    identity_scope = resolve_identity_scope(log_id)
+    staff_identity = identity_scope["staff"]
+    family_identity = identity_scope["family"]
+    selected_staff_id_card = staff_id_card or staff_identity["id_card"]
+    selected_family_id_cards = list(family_id_cards or [family_identity["id_card"]])
+
+    return {
+        "le_name": primary_enterprise_name or "模型测试主体",
+        "account_no": primary_account_no or "6222024999999999",
+        "staff_id_card": selected_staff_id_card,
+        "family_id_card": (
+            selected_family_id_cards[0] if selected_family_id_cards else selected_staff_id_card
+        ),
+    }
+
+
+def build_house_or_car_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=9, hours=1),
+            cret_no=context["staff_id_card"],
+            customer_name="杭州贝壳房地产经纪有限公司",
+            user_memo="购买房产首付款",
+            cash_type="对公转账",
+            dr_amount=680000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024555500001",
+        ),
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=8, hours=2),
+            cret_no=context["family_id_card"],
+            customer_name="兰溪星耀汽车销售服务有限公司",
+            user_memo="购车首付款",
+            cash_type="对公转账",
+            dr_amount=380000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024555500002",
+        ),
+    ]
+
+
+def build_tax_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=7, hours=1),
+            cret_no=context["staff_id_card"],
+            customer_name="国家金库兰溪市中心支库",
+            user_memo="个人所得税税款",
+            cash_type="税务缴款",
+            dr_amount=126000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024555500003",
+        ),
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=6, hours=3),
+            cret_no=context["family_id_card"],
+            customer_name="兰溪市税务局",
+            user_memo="房产税务缴税",
+            cash_type="税务缴款",
+            dr_amount=88000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024555500004",
+        ),
+    ]
+
+
+def build_single_large_income_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=5, hours=2),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江远望贸易有限公司",
+            user_memo="经营往来收入",
+            cash_type="对公转账",
+            cr_amount=18800000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600001",
+        )
+    ]
+
+
+def build_cumulative_income_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=5, hours=2),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江远望贸易有限公司",
+            user_memo="经营往来收入",
+            cash_type="对公转账",
+            cr_amount=18800000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600001",
+        ),
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=5, hours=1),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江远望贸易有限公司",
+            user_memo="项目回款收入",
+            cash_type="对公转账",
+            cr_amount=20800000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600001",
+        ),
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=4, hours=4),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江远望贸易有限公司",
+            user_memo="业务合作收入",
+            cash_type="对公转账",
+            cr_amount=20700000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600001",
+        ),
+    ]
+
+
+def build_annual_turnover_supporting_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=15, hours=2),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江金穗供应链有限公司",
+            user_memo="年度经营回款",
+            cash_type="对公转账",
+            cr_amount=17200000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600002",
+        ),
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=11, hours=3),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江金穗供应链有限公司",
+            user_memo="年度项目回款",
+            cash_type="对公转账",
+            cr_amount=17600000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600002",
+        ),
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=9, hours=4),
+            cret_no=context["staff_id_card"],
+            customer_name="浙江金穗供应链有限公司",
+            user_memo="年度合作收入",
+            cash_type="对公转账",
+            cr_amount=17800000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024666600002",
+        ),
+    ]
+
+
+def build_large_cash_deposit_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=datetime(2026, 3, 10, 9, 0, 0),
+            cret_no=context["staff_id_card"],
+            customer_name="",
+            user_memo="现金存款",
+            cash_type="现金存款",
+            cr_amount=3000000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+        )
+    ]
+
+
+def build_frequent_cash_deposit_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    deposit_specs = [
+        (datetime(2026, 3, 10, 9, 0, 0), "现金存款", 3000000.0),
+        (datetime(2026, 3, 10, 9, 30, 0), "ATM现金存款", 3100000.0),
+        (datetime(2026, 3, 10, 10, 0, 0), "自助存款现金存入", 3200000.0),
+        (datetime(2026, 3, 10, 10, 30, 0), "CRS存款", 3300000.0),
+        (datetime(2026, 3, 10, 11, 0, 0), "本行ATM存款", 3400000.0),
+        (datetime(2026, 3, 10, 11, 30, 0), "柜面现金存款", 3500000.0),
+    ]
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=trx_datetime,
+            cret_no=context["staff_id_card"],
+            customer_name="",
+            user_memo=user_memo,
+            cash_type="现金存款",
+            cr_amount=cr_amount,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+        )
+        for trx_datetime, user_memo, cr_amount in deposit_specs
+    ]
+
+
+def build_large_transfer_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=3, hours=1),
+            cret_no=context["staff_id_card"],
+            customer_name="异地转账平台",
+            user_memo="手机银行转账",
+            cash_type="转账支出",
+            dr_amount=12000000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024777700001",
+        )
+    ]
+
+
+def build_gambling_sensitive_keyword_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=4, hours=2),
+            cret_no=context["staff_id_card"],
+            customer_name="欢乐游戏科技有限公司",
+            user_memo="游戏充值",
+            cash_type="快捷支付",
+            dr_amount=6888.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024888800001",
+        )
+    ]
+
+
+def build_special_amount_transaction_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=4, hours=1),
+            cret_no=context["staff_id_card"],
+            customer_name="兰溪特别金额结算中心",
+            user_memo="特殊金额转账",
+            cash_type="转账支出",
+            dr_amount=88888.88,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024888800002",
+        )
+    ]
+
+
+def build_suspicious_income_keyword_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=3, hours=5),
+            cret_no=context["staff_id_card"],
+            customer_name="灰度信息咨询有限公司",
+            user_memo="咨询返现收入",
+            cash_type="对公转账",
+            cr_amount=166666.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024888800003",
+        )
+    ]
+
+
+def build_forex_buy_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=2, hours=6),
+            cret_no=context["staff_id_card"],
+            customer_name="中国银行外汇业务中心",
+            user_memo="个人购汇",
+            cash_type="购汇支出",
+            dr_amount=126000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024999900001",
+        )
+    ]
+
+
+def build_forex_sell_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=2, hours=4),
+            cret_no=context["staff_id_card"],
+            customer_name="中国银行外汇业务中心",
+            user_memo="个人结汇",
+            cash_type="结汇收入",
+            cr_amount=132000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024999900002",
+        )
+    ]
+
+
+def build_stock_transfer_large_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=2, hours=2),
+            cret_no=context["staff_id_card"],
+            customer_name="国信证券资金账户",
+            user_memo="证券大额转托管转出",
+            cash_type="转账支出",
+            dr_amount=560000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024999900003",
+        )
+    ]
+
+
+def build_large_stock_trading_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=REFERENCE_NOW - timedelta(days=1, hours=3),
+            cret_no=context["staff_id_card"],
+            customer_name="华泰证券资金账户",
+            user_memo="证券大额交易买入",
+            cash_type="证券交易",
+            dr_amount=880000.0,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+            customer_account_mask_no="6222024999900004",
+        )
+    ]
+
+
+def build_withdraw_cnt_samples(group_id: int, log_id: int, **kwargs) -> List[Dict]:
+    context = _build_sample_context(log_id, **kwargs)
+    withdraw_specs = [
+        (datetime(2026, 3, 12, 9, 0, 0), "微信提现", 8000.0),
+        (datetime(2026, 3, 12, 10, 0, 0), "支付宝提现", 9000.0),
+        (datetime(2026, 3, 12, 11, 0, 0), "微信提现", 8500.0),
+        (datetime(2026, 3, 12, 12, 0, 0), "支付宝提现", 9200.0),
+    ]
+    return [
+        _build_statement(
+            group_id,
+            log_id,
+            trx_datetime=trx_datetime,
+            cret_no=context["staff_id_card"],
+            customer_name="财付通结算账户" if "微信" in user_memo else "支付宝结算账户",
+            user_memo=user_memo,
+            cash_type="提现支出",
+            dr_amount=dr_amount,
+            le_name=context["le_name"],
+            account_mask_no=context["account_no"],
+        )
+        for trx_datetime, user_memo, dr_amount in withdraw_specs
+    ]
+
+
+LARGE_TRANSACTION_BUILDERS = {
+    "HOUSE_OR_CAR_EXPENSE": build_house_or_car_samples,
+    "TAX_EXPENSE": build_tax_samples,
+    "SINGLE_LARGE_INCOME": build_single_large_income_samples,
+    "CUMULATIVE_INCOME": build_cumulative_income_samples,
+    "ANNUAL_TURNOVER": build_annual_turnover_supporting_samples,
+    "LARGE_CASH_DEPOSIT": build_large_cash_deposit_samples,
+    "FREQUENT_CASH_DEPOSIT": build_frequent_cash_deposit_samples,
+    "LARGE_TRANSFER": build_large_transfer_samples,
+}
+
+PHASE1_RULE_BUILDERS = {
+    "GAMBLING_SENSITIVE_KEYWORD": build_gambling_sensitive_keyword_samples,
+    "SPECIAL_AMOUNT_TRANSACTION": build_special_amount_transaction_samples,
+    "SUSPICIOUS_INCOME_KEYWORD": build_suspicious_income_keyword_samples,
+    "FOREX_BUY_AMT": build_forex_buy_samples,
+    "FOREX_SELL_AMT": build_forex_sell_samples,
+    "STOCK_TFR_LARGE": build_stock_transfer_large_samples,
+    "LARGE_STOCK_TRADING": build_large_stock_trading_samples,
+    "WITHDRAW_CNT": build_withdraw_cnt_samples,
+}
+
+
+def build_seed_statements_for_rule_plan(
+    group_id: int,
+    log_id: int,
+    rule_plan: Dict,
+    **kwargs,
+) -> List[Dict]:
+    statements: List[Dict] = []
+
+    for rule_code in rule_plan.get("large_transaction_hit_rules", []):
+        builder = LARGE_TRANSACTION_BUILDERS.get(rule_code)
+        if builder is not None:
+            statements.extend(builder(group_id, log_id, **kwargs))
+
+    for rule_code in rule_plan.get("phase1_hit_rules", []):
+        builder = PHASE1_RULE_BUILDERS.get(rule_code)
+        if builder is not None:
+            statements.extend(builder(group_id, log_id, **kwargs))
+
+    return statements
+
+
 def build_large_transaction_seed_statements(
     group_id: int,
     log_id: int,
@@ -149,220 +611,15 @@ def build_large_transaction_seed_statements(
     staff_id_card: Optional[str] = None,
     family_id_cards: Optional[List[str]] = None,
 ) -> List[Dict]:
-    le_name = primary_enterprise_name or "模型测试主体"
+    return build_seed_statements_for_rule_plan(
-    account_no = primary_account_no or "6222024999999999"
+        group_id=group_id,
-    identity_scope = resolve_identity_scope(log_id)
+        log_id=log_id,
-    staff_identity = identity_scope["staff"]
+        rule_plan={
-    family_identity = identity_scope["family"]
+            "large_transaction_hit_rules": list(LARGE_TRANSACTION_BUILDERS.keys()),
-    selected_staff_id_card = staff_id_card or staff_identity["id_card"]
+            "phase1_hit_rules": [],
-    selected_family_id_cards = list(family_id_cards or [family_identity["id_card"]])
+        },
-    primary_family_id_card = selected_family_id_cards[0] if selected_family_id_cards else selected_staff_id_card
+        primary_enterprise_name=primary_enterprise_name,
-
+        primary_account_no=primary_account_no,
-    statements: List[Dict] = []
+        staff_id_card=staff_id_card,
-
+        family_id_cards=family_id_cards,
-    statements.extend([
+    )
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=9, hours=1),
-            cret_no=selected_staff_id_card,
-            customer_name="杭州贝壳房地产经纪有限公司",
-            user_memo="购买房产首付款",
-            cash_type="对公转账",
-            dr_amount=680000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024555500001",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=8, hours=2),
-            cret_no=primary_family_id_card,
-            customer_name="兰溪星耀汽车销售服务有限公司",
-            user_memo="购车首付款",
-            cash_type="对公转账",
-            dr_amount=380000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024555500002",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=7, hours=1),
-            cret_no=selected_staff_id_card,
-            customer_name="国家金库兰溪市中心支库",
-            user_memo="个人所得税税款",
-            cash_type="税务缴款",
-            dr_amount=126000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024555500003",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=6, hours=3),
-            cret_no=primary_family_id_card,
-            customer_name="兰溪市税务局",
-            user_memo="房产税务缴税",
-            cash_type="税务缴款",
-            dr_amount=88000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024555500004",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=5, hours=2),
-            cret_no=selected_staff_id_card,
-            customer_name="浙江远望贸易有限公司",
-            user_memo="经营往来收入",
-            cash_type="对公转账",
-            cr_amount=18800000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024666600001",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=5, hours=1),
-            cret_no=selected_staff_id_card,
-            customer_name="浙江远望贸易有限公司",
-            user_memo="项目回款收入",
-            cash_type="对公转账",
-            cr_amount=20800000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024666600001",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=4, hours=4),
-            cret_no=selected_staff_id_card,
-            customer_name="浙江远望贸易有限公司",
-            user_memo="业务合作收入",
-            cash_type="对公转账",
-            cr_amount=20700000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024666600001",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=datetime(2026, 3, 10, 9, 0, 0),
-            cret_no=selected_staff_id_card,
-            customer_name="",
-            user_memo="现金存款",
-            cash_type="现金存款",
-            cr_amount=3000000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=datetime(2026, 3, 10, 9, 30, 0),
-            cret_no=selected_staff_id_card,
-            customer_name="",
-            user_memo="ATM现金存款",
-            cash_type="现金存款",
-            cr_amount=3100000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=datetime(2026, 3, 10, 10, 0, 0),
-            cret_no=selected_staff_id_card,
-            customer_name="",
-            user_memo="自助存款现金存入",
-            cash_type="现金存款",
-            cr_amount=3200000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=datetime(2026, 3, 10, 10, 30, 0),
-            cret_no=selected_staff_id_card,
-            customer_name="",
-            user_memo="CRS存款",
-            cash_type="现金存款",
-            cr_amount=3300000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=datetime(2026, 3, 10, 11, 0, 0),
-            cret_no=selected_staff_id_card,
-            customer_name="",
-            user_memo="本行ATM存款",
-            cash_type="现金存款",
-            cr_amount=3400000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=datetime(2026, 3, 10, 11, 30, 0),
-            cret_no=selected_staff_id_card,
-            customer_name="",
-            user_memo="柜面现金存款",
-            cash_type="现金存款",
-            cr_amount=3500000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=3, hours=1),
-            cret_no=selected_staff_id_card,
-            customer_name="异地转账平台",
-            user_memo="手机银行转账",
-            cash_type="转账支出",
-            dr_amount=12000000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024777700001",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=3, hours=2),
-            cret_no=selected_staff_id_card,
-            customer_name="跨行转账中心",
-            user_memo="对外转账",
-            cash_type="转账支出",
-            dr_amount=10000000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024777700002",
-        ),
-        _build_statement(
-            group_id,
-            log_id,
-            trx_datetime=REFERENCE_NOW - timedelta(days=2, hours=5),
-            cret_no=selected_staff_id_card,
-            customer_name="跨境转账服务平台",
-            user_memo="网银转账",
-            cash_type="转账支出",
-            dr_amount=9000000.0,
-            le_name=le_name,
-            account_mask_no=account_no,
-            customer_account_mask_no="6222024777700003",
-        ),
-    ])
-
-    return statements

lsfx-mock-server/services/statement_service.py

@@ -5,7 +5,7 @@ import uuid
 from datetime import datetime, timedelta
 
 from services.statement_rule_samples import (
-    build_large_transaction_seed_statements,
+    build_seed_statements_for_rule_plan,
     resolve_identity_cards,
 )
 
@@ -144,14 +144,21 @@ class StatementService:
         """生成指定数量的流水记录。"""
         primary_enterprise_name, primary_account_no = self._resolve_primary_binding(log_id)
         record = self.file_service.get_file_record(log_id) if self.file_service is not None else None
+        rule_plan = {
+            "large_transaction_hit_rules": (
+                list(record.large_transaction_hit_rules) if record is not None else []
+            ),
+            "phase1_hit_rules": list(record.phase1_hit_rules) if record is not None else [],
+        }
         if record is not None and record.staff_id_card:
             allowed_identity_cards = tuple([record.staff_id_card, *record.family_id_cards])
         else:
             allowed_identity_cards = resolve_identity_cards(log_id)
         rng = random.Random(f"statement:{log_id}")
-        seeded_statements = build_large_transaction_seed_statements(
+        seeded_statements = build_seed_statements_for_rule_plan(
             group_id=group_id,
             log_id=log_id,
+            rule_plan=rule_plan,
             primary_enterprise_name=primary_enterprise_name,
             primary_account_no=primary_account_no,
             staff_id_card=record.staff_id_card if record is not None else None,

lsfx-mock-server/tests/integration/test_full_workflow.py

@@ -170,3 +170,30 @@ def test_upload_status_and_bank_statement_share_same_primary_binding(client, mon
     assert statements
     assert all(item["leName"] == status_log["enterpriseNameList"][0] for item in statements)
     assert all(item["accountMaskNo"] == status_log["accountNoList"][0] for item in statements)
+
+
+def test_inner_flow_bank_statement_should_keep_same_rule_subset(client):
+    fetch_response = client.post(
+        "/watson/api/project/getJZFileOrZjrcuFile",
+        data={
+            "groupId": 1001,
+            "customerNo": "customer_subset",
+            "dataChannelCode": "test_code",
+            "requestDateId": 20240101,
+            "dataStartDateId": 20240101,
+            "dataEndDateId": 20240131,
+            "uploadUserId": 902001,
+        },
+    )
+    log_id = fetch_response.json()["data"][0]
+
+    page1 = client.post(
+        "/watson/api/project/getBSByLogId",
+        data={"groupId": 1001, "logId": log_id, "pageNow": 1, "pageSize": 10},
+    ).json()
+    page2 = client.post(
+        "/watson/api/project/getBSByLogId",
+        data={"groupId": 1001, "logId": log_id, "pageNow": 1, "pageSize": 10},
+    ).json()
+
+    assert page1["data"]["bankStatementList"] == page2["data"]["bankStatementList"]

lsfx-mock-server/tests/test_file_service.py

@@ -154,3 +154,49 @@ def test_fetch_inner_flow_persists_primary_binding_record(monkeypatch):
     assert record.enterprise_name_list == ["行内主体"]
     assert record.account_no_list == ["6210987654321098"]
     assert record.total_records == 200
+
+
+def test_build_rule_hit_plan_should_be_deterministic_for_same_log_id():
+    service = FileService(staff_identity_repository=FakeStaffIdentityRepository())
+
+    plan1 = service._build_rule_hit_plan(10001)
+    plan2 = service._build_rule_hit_plan(10001)
+
+    assert plan1 == plan2
+    assert 2 <= len(plan1["large_transaction_hit_rules"]) <= 4
+    assert 2 <= len(plan1["phase1_hit_rules"]) <= 4
+
+
+def test_fetch_inner_flow_should_persist_rule_hit_plan(monkeypatch):
+    service = FileService(staff_identity_repository=FakeStaffIdentityRepository())
+    monkeypatch.setattr(
+        service,
+        "_build_rule_hit_plan",
+        lambda log_id: {
+            "large_transaction_hit_rules": ["HOUSE_OR_CAR_EXPENSE", "TAX_EXPENSE"],
+            "phase1_hit_rules": ["GAMBLING_SENSITIVE_KEYWORD", "FOREX_BUY_AMT"],
+        },
+    )
+
+    response = service.fetch_inner_flow(
+        {
+            "groupId": 1001,
+            "customerNo": "test_customer_001",
+            "dataChannelCode": "test_code",
+            "requestDateId": 20240101,
+            "dataStartDateId": 20240101,
+            "dataEndDateId": 20240131,
+            "uploadUserId": 902001,
+        }
+    )
+    log_id = response["data"][0]
+    record = service.file_records[log_id]
+
+    assert record.large_transaction_hit_rules == [
+        "HOUSE_OR_CAR_EXPENSE",
+        "TAX_EXPENSE",
+    ]
+    assert record.phase1_hit_rules == [
+        "GAMBLING_SENSITIVE_KEYWORD",
+        "FOREX_BUY_AMT",
+    ]

lsfx-mock-server/tests/test_statement_service.py

@@ -9,6 +9,7 @@ from services.statement_service import StatementService
 from services.statement_rule_samples import (
     DEFAULT_LARGE_TRANSACTION_THRESHOLDS,
     build_large_transaction_seed_statements,
+    build_seed_statements_for_rule_plan,
 )
 
 
@@ -21,16 +22,71 @@ class FakeStaffIdentityRepository:
         }
 
 
-def test_generate_statements_should_include_seeded_samples_before_noise():
+def test_generate_statements_should_include_seeded_samples_before_noise_when_rule_plan_exists():
-    """生成流水时必须先混入固定命中样本，而不是纯随机噪声。"""
+    """存在规则命中计划时，生成流水必须先混入被选中的命中样本。"""
-    service = StatementService()
+    file_service = FileService(staff_identity_repository=FakeStaffIdentityRepository())
+    service = StatementService(file_service=file_service)
 
-    statements = service._generate_statements(group_id=1000, log_id=20001, count=30)
+    response = file_service.fetch_inner_flow(
+        {
+            "groupId": 1001,
+            "customerNo": "customer_seeded_samples",
+            "dataChannelCode": "test_code",
+            "requestDateId": 20240101,
+            "dataStartDateId": 20240101,
+            "dataEndDateId": 20240131,
+            "uploadUserId": 902001,
+        }
+    )
+    log_id = response["data"][0]
+    record = file_service.file_records[log_id]
+    record.large_transaction_hit_rules = ["HOUSE_OR_CAR_EXPENSE"]
+    record.phase1_hit_rules = []
+
+    statements = service._generate_statements(group_id=1000, log_id=log_id, count=30)
 
     assert len(statements) >= 30
     assert any(item["userMemo"] == "购买房产首付款" for item in statements)
 
 
+def test_build_seed_statements_for_rule_plan_should_only_include_requested_phase1_rules():
+    plan = {
+        "large_transaction_hit_rules": [],
+        "phase1_hit_rules": ["GAMBLING_SENSITIVE_KEYWORD", "FOREX_BUY_AMT"],
+    }
+
+    statements = build_seed_statements_for_rule_plan(
+        group_id=1000,
+        log_id=20001,
+        rule_plan=plan,
+    )
+
+    assert any("游戏" in item["userMemo"] for item in statements)
+    assert any("购汇" in item["userMemo"] for item in statements)
+    assert not any("证券" in item["userMemo"] for item in statements)
+
+
+def test_build_seed_statements_for_rule_plan_should_generate_withdraw_cnt_samples():
+    plan = {
+        "large_transaction_hit_rules": [],
+        "phase1_hit_rules": ["WITHDRAW_CNT"],
+    }
+
+    statements = build_seed_statements_for_rule_plan(
+        group_id=1000,
+        log_id=20001,
+        rule_plan=plan,
+    )
+
+    assert len(
+        [
+            item
+            for item in statements
+            if "微信提现" in item["userMemo"] or "支付宝提现" in item["userMemo"]
+        ]
+    ) >= 4
+
+
 def test_large_transaction_seed_should_cover_all_eight_rules():
     """大额交易样本生成器必须覆盖 8 条已实现规则的关键口径。"""
     statements = build_large_transaction_seed_statements(group_id=1000, log_id=20001)
@@ -98,6 +154,33 @@ def test_generate_statements_should_fill_noise_up_to_requested_count():
     assert len(statements) == 80
 
 
+def test_generate_statements_should_follow_rule_hit_plan_from_file_record():
+    file_service = FileService(staff_identity_repository=FakeStaffIdentityRepository())
+    statement_service = StatementService(file_service=file_service)
+
+    response = file_service.fetch_inner_flow(
+        {
+            "groupId": 1001,
+            "customerNo": "customer_rule_plan",
+            "dataChannelCode": "test_code",
+            "requestDateId": 20240101,
+            "dataStartDateId": 20240101,
+            "dataEndDateId": 20240131,
+            "uploadUserId": 902001,
+        }
+    )
+    log_id = response["data"][0]
+    record = file_service.file_records[log_id]
+    record.large_transaction_hit_rules = ["HOUSE_OR_CAR_EXPENSE"]
+    record.phase1_hit_rules = ["GAMBLING_SENSITIVE_KEYWORD"]
+
+    statements = statement_service._generate_statements(group_id=1001, log_id=log_id, count=200)
+
+    assert any("房产首付款" in item["userMemo"] for item in statements)
+    assert any("游戏" in item["userMemo"] for item in statements)
+    assert not any("购汇" in item["userMemo"] for item in statements)
+
+
 def test_generate_statements_should_stay_within_single_employee_scope_per_log_id():
     """同一 logId 的流水只能落在 FileRecord 绑定的员工及亲属身份证内。"""
     file_service = FileService(staff_identity_repository=FakeStaffIdentityRepository())
@@ -228,6 +311,14 @@ def test_get_bank_statement_contains_large_transaction_hit_samples(monkeypatch):
     )
     log_id = response["data"][0]
     record = file_service.file_records[log_id]
+    record.large_transaction_hit_rules = [
+        "HOUSE_OR_CAR_EXPENSE",
+        "TAX_EXPENSE",
+        "CUMULATIVE_INCOME",
+        "FREQUENT_CASH_DEPOSIT",
+        "LARGE_TRANSFER",
+    ]
+    record.phase1_hit_rules = []
     staff_id_card = record.staff_id_card
     family_id_card = record.family_id_cards[0]
 

sql/migration/2026-03-20-lsfx-mock-random-hit-rule-purchase-baseline.sql

@@ -0,0 +1,78 @@
+DELETE FROM ccdi_purchase_transaction
+WHERE purchase_id = 'LSFXMOCKPUR001';
+
+INSERT INTO ccdi_purchase_transaction (
+  purchase_id,
+  purchase_category,
+  project_name,
+  subject_name,
+  subject_desc,
+  purchase_qty,
+  budget_amount,
+  bid_amount,
+  actual_amount,
+  contract_amount,
+  settlement_amount,
+  purchase_method,
+  supplier_name,
+  contact_person,
+  contact_phone,
+  supplier_uscc,
+  supplier_bank_account,
+  apply_date,
+  plan_approve_date,
+  announce_date,
+  bid_open_date,
+  contract_sign_date,
+  expected_delivery_date,
+  actual_delivery_date,
+  acceptance_date,
+  settlement_date,
+  applicant_id,
+  applicant_name,
+  apply_department,
+  purchase_leader_id,
+  purchase_leader_name,
+  purchase_department,
+  created_by,
+  updated_by
+)
+SELECT
+  'LSFXMOCKPUR001',
+  '设备采购',
+  'LSFX Mock 联调',
+  '反洗钱终端设备采购',
+  '用于命中 LARGE_PURCHASE_TRANSACTION 真实规则',
+  1,
+  188000.00,
+  186000.00,
+  186000.00,
+  186000.00,
+  186000.00,
+  '竞争性谈判',
+  '兰溪市联调供应链有限公司',
+  '联调联系人',
+  '13800000000',
+  '91330781MOCKPUR001',
+  '6222000000001234',
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CURRENT_DATE,
+  CAST(s.staff_id AS CHAR),
+  s.name,
+  '纪检初核部',
+  NULL,
+  NULL,
+  NULL,
+  'admin',
+  'admin'
+FROM ccdi_base_staff s
+WHERE COALESCE(TRIM(CAST(s.staff_id AS CHAR)), '') <> ''
+  AND COALESCE(TRIM(s.name), '') <> ''
+LIMIT 1;