接入异常账户基线同步触发点

lsfx-mock-server/tests/test_file_service.py

@@ -5,6 +5,7 @@ FileService 单一主绑定语义测试
 import asyncio
 import io
 
+import pytest
 from fastapi import BackgroundTasks
 from fastapi.datastructures import UploadFile
 
@@ -27,6 +28,22 @@ class FakeStaffIdentityRepository:
         }
 
 
+class FakeAbnormalAccountBaselineService:
+    def __init__(self, should_fail=False):
+        self.should_fail = should_fail
+        self.calls = []
+
+    def apply(self, staff_id_card, abnormal_accounts):
+        self.calls.append(
+            {
+                "staff_id_card": staff_id_card,
+                "abnormal_accounts": [dict(item) for item in abnormal_accounts],
+            }
+        )
+        if self.should_fail:
+            raise RuntimeError("baseline sync failed")
+
+
 def test_upload_file_primary_binding_response(monkeypatch):
     """同一 logId 的主绑定必须稳定且只保留一组主体/账号信息。"""
     service = FileService(staff_identity_repository=FakeStaffIdentityRepository())
@@ -186,6 +203,56 @@ def test_fetch_inner_flow_should_attach_abnormal_account_rule_plan():
     assert isinstance(record.abnormal_accounts, list)
 
 
+def test_fetch_inner_flow_should_sync_abnormal_account_baselines_before_caching():
+    baseline_service = FakeAbnormalAccountBaselineService()
+    service = FileService(
+        staff_identity_repository=FakeStaffIdentityRepository(),
+        abnormal_account_baseline_service=baseline_service,
+    )
+
+    response = service.fetch_inner_flow(
+        {
+            "groupId": 1001,
+            "customerNo": "customer_abnormal_baseline",
+            "dataChannelCode": "test_code",
+            "requestDateId": 20240101,
+            "dataStartDateId": 20240101,
+            "dataEndDateId": 20240131,
+            "uploadUserId": 902001,
+        }
+    )
+
+    log_id = response["data"][0]
+    record = service.file_records[log_id]
+
+    assert baseline_service.calls
+    assert baseline_service.calls[0]["staff_id_card"] == record.staff_id_card
+    assert baseline_service.calls[0]["abnormal_accounts"] == record.abnormal_accounts
+
+
+def test_fetch_inner_flow_should_not_cache_log_id_when_abnormal_account_baseline_sync_fails():
+    baseline_service = FakeAbnormalAccountBaselineService(should_fail=True)
+    service = FileService(
+        staff_identity_repository=FakeStaffIdentityRepository(),
+        abnormal_account_baseline_service=baseline_service,
+    )
+
+    with pytest.raises(RuntimeError, match="baseline sync failed"):
+        service.fetch_inner_flow(
+            {
+                "groupId": 1001,
+                "customerNo": "customer_abnormal_baseline_fail",
+                "dataChannelCode": "test_code",
+                "requestDateId": 20240101,
+                "dataStartDateId": 20240101,
+                "dataEndDateId": 20240131,
+                "uploadUserId": 902001,
+            }
+        )
+
+    assert service.file_records == {}
+
+
 def test_generate_log_id_should_retry_when_random_value_conflicts(monkeypatch):
     """随机 logId 命中已存在记录时必须重试并返回未占用值。"""
     service = FileService(staff_identity_repository=FakeStaffIdentityRepository())