test: B8 收敛——sqlite 测试 DDL 单一事实源 _ddl.py(10 文件 45 处手写 DDL 清零)+localtime 时区收敛(B5 评审 P3-4, utcnow 边界修复)+测试内遗留建表清理, 196 绿; docs 同步 B8 完成状态

tests/test_aml_service.py

@@ -7,8 +7,9 @@ sqlite StaticPool 内存库；名单阈值边界用可控 threshold 值驱动（
 from datetime import datetime
 
 import pytest
-from sqlalchemy import create_engine, text
-from sqlalchemy.pool import StaticPool
+from sqlalchemy import text
+
+from _ddl import create_sqlite_engine
 
 from app.repository.core_ro import CoreReadOnlyRepository
 from app.repository.risk_repository import RiskRepository
@@ -32,88 +33,8 @@ class FakePublisher:
 
 @pytest.fixture()
 def env():
-    engine = create_engine(
-        "sqlite://",
-        poolclass=StaticPool,
-        connect_args={"check_same_thread": False},
-    )
+    engine = create_sqlite_engine()  # DDL 单一事实源（B4 评审 P3-12）
     with engine.begin() as conn:
-        conn.execute(
-            text(
-                """
-                CREATE TABLE risk_aml_list (
-                    id INTEGER PRIMARY KEY AUTOINCREMENT,
-                    list_id VARCHAR(64), list_type VARCHAR(16), full_name VARCHAR(128),
-                    match_threshold REAL, source VARCHAR(64), list_version VARCHAR(16),
-                    effective_date DATE, is_active TINYINT DEFAULT 1,
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-                )
-                """
-            )
-        )
-        conn.execute(
-            text(
-                """
-                CREATE TABLE core_customer (
-                    customer_id VARCHAR(64) PRIMARY KEY, display_name VARCHAR(128),
-                    age INTEGER, occupation VARCHAR(64), open_date DATE, is_active TINYINT DEFAULT 1
-                )
-                """
-            )
-        )
-        conn.execute(
-            text(
-                """
-                CREATE TABLE core_customer_risk (
-                    customer_id VARCHAR(64), risk_code VARCHAR(8), evaluated_at TIMESTAMP
-                )
-                """
-            )
-        )
-        conn.execute(
-            text(
-                """
-                CREATE TABLE risk_alert (
-                    alert_id VARCHAR(64) PRIMARY KEY, trace_id VARCHAR(64),
-                    customer_id VARCHAR(64), trade_id VARCHAR(64), alert_type VARCHAR(16),
-                    triggered_rules TEXT, risk_score INTEGER,
-                    status VARCHAR(24) DEFAULT 'pending_review', payload TEXT,
-                    handler_id VARCHAR(64), handler_result VARCHAR(64),
-                    handler_comment VARCHAR(512),
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, handled_at TIMESTAMP
-                )
-                """
-            )
-        )
-        conn.execute(
-            text(
-                """
-                CREATE TABLE audit_log (
-                    id INTEGER PRIMARY KEY, trace_id VARCHAR(64), event_type VARCHAR(64),
-                    agent_type VARCHAR(16), actor_id VARCHAR(64), customer_id VARCHAR(64),
-                    rule_id VARCHAR(64), input_summary TEXT, decision VARCHAR(64),
-                    risk_score INTEGER, handler_id VARCHAR(64), handler_result VARCHAR(64),
-                    handler_comment VARCHAR(512), created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-                )
-                """
-            )
-        )
-        conn.execute(
-            text(
-                """
-                CREATE TABLE customer_profile_l3 (
-                    customer_id VARCHAR(64) PRIMARY KEY,
-                    monitor_tier VARCHAR(16) NOT NULL,
-                    risk_score INTEGER,
-                    score_dimensions TEXT,
-                    monitor_tags TEXT,
-                    last_alert_id VARCHAR(64),
-                    computed_at TIMESTAMP NOT NULL,
-                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-                )
-                """
-            )
-        )
         # 名单：默认阈值 0.85 两行、严格 1.0 一行、行阈值覆盖（0.5/0.99 同名对）一停用行
         conn.execute(
             text(