99 lines
4.6 KiB
Python
99 lines
4.6 KiB
Python
"""sqlite 测试 DDL 单一事实源（B8 · B4 评审 P3-12 收敛 / B5 评审 P3-4 时区）。
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以 VARCHAR/TEXT/INTEGER/REAL 近似 MySQL 的 ENUM/SMALLINT/JSON/DECIMAL，
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枚举防线不在测试 DB 层（由 service 白名单保证，见 test_profile_l3 口径注释）。
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时间默认值统一 `(datetime('now','localtime'))`：sqlite CURRENT_TIMESTAMP 为 UTC，
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本地 23:00~24:00 跑测试时与 MySQL localtime 口径错位一个日界（B5 评审 P3-4）。
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列集为各测试所需列的并集；新表/新列只改此处，禁止再回测试文件手写。
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"""
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from sqlalchemy import create_engine, text
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from sqlalchemy.pool import StaticPool
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_TS = "TIMESTAMP DEFAULT (datetime('now','localtime'))"
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SQLITE_TABLES: dict[str, str] = {
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# ---- Core 模拟库（只读侧） ----
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"core_customer": """
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CREATE TABLE core_customer (
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customer_id VARCHAR(64) PRIMARY KEY, display_name VARCHAR(128), age INTEGER,
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occupation VARCHAR(64), open_date DATE, is_active TINYINT DEFAULT 1)
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""",
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"core_customer_risk": """
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CREATE TABLE core_customer_risk (
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customer_id VARCHAR(64), risk_code VARCHAR(8), evaluated_at TIMESTAMP)
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""",
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"core_customer_advisor": """
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CREATE TABLE core_customer_advisor (
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advisor_id VARCHAR(64), customer_id VARCHAR(64), rel_status VARCHAR(16))
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""",
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"core_product": """
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CREATE TABLE core_product (
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product_id VARCHAR(64) PRIMARY KEY, product_name VARCHAR(128),
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min_risk_code VARCHAR(8), product_type VARCHAR(32))
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""",
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"core_trade": """
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CREATE TABLE core_trade (
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trade_id VARCHAR(64) PRIMARY KEY, customer_id VARCHAR(64), product_id VARCHAR(64),
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trade_type VARCHAR(16), amount DECIMAL, trade_status VARCHAR(16),
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traded_at TIMESTAMP)
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""",
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# ---- agent 库 ----
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"audit_log": f"""
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CREATE TABLE audit_log (
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id INTEGER PRIMARY KEY AUTOINCREMENT, trace_id VARCHAR(64), event_type VARCHAR(64),
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agent_type VARCHAR(16), actor_id VARCHAR(64), customer_id VARCHAR(64),
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rule_id VARCHAR(64), input_summary TEXT, decision VARCHAR(64), risk_score INTEGER,
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handler_id VARCHAR(64), handler_result VARCHAR(64), handler_comment VARCHAR(512),
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created_at {_TS})
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""",
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"input_guard_log": f"""
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CREATE TABLE input_guard_log (
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id INTEGER PRIMARY KEY AUTOINCREMENT, trace_id VARCHAR(64), session_id VARCHAR(64),
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agent_type VARCHAR(16), actor_id VARCHAR(64), guard_type VARCHAR(24),
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raw_excerpt VARCHAR(1024), action VARCHAR(16),
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created_at {_TS})
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""",
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"risk_alert": f"""
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CREATE TABLE risk_alert (
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alert_id VARCHAR(64) PRIMARY KEY, trace_id VARCHAR(64), customer_id VARCHAR(64),
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trade_id VARCHAR(64), alert_type VARCHAR(16), triggered_rules TEXT,
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risk_score INTEGER, status VARCHAR(24) DEFAULT 'pending_review', payload TEXT,
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handler_id VARCHAR(64), handler_result VARCHAR(64), handler_comment VARCHAR(512),
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created_at {_TS}, handled_at TIMESTAMP)
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""",
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"risk_suitability_log": f"""
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CREATE TABLE risk_suitability_log (
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id INTEGER PRIMARY KEY AUTOINCREMENT, trace_id VARCHAR(64), customer_id VARCHAR(64),
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product_id VARCHAR(64), customer_risk_level VARCHAR(8), product_risk_level VARCHAR(8),
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is_matched TINYINT, is_blocked TINYINT, block_reason VARCHAR(512),
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request_ref VARCHAR(64), profile_l1_version VARCHAR(32),
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created_at {_TS})
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""",
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"customer_profile_l3": f"""
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CREATE TABLE customer_profile_l3 (
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customer_id VARCHAR(64) PRIMARY KEY, monitor_tier VARCHAR(16) NOT NULL,
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risk_score INTEGER, score_dimensions TEXT, monitor_tags TEXT,
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last_alert_id VARCHAR(64), computed_at TIMESTAMP NOT NULL,
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updated_at {_TS})
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""",
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"risk_aml_list": f"""
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CREATE TABLE risk_aml_list (
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id INTEGER PRIMARY KEY AUTOINCREMENT, list_id VARCHAR(64), list_type VARCHAR(16),
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full_name VARCHAR(128), id_no VARCHAR(32), bank_card_no VARCHAR(32),
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match_threshold REAL, source VARCHAR(64), list_version VARCHAR(16),
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effective_date DATE, is_active TINYINT DEFAULT 1, created_at {_TS})
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""",
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}
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def create_sqlite_engine():
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"""内存 sqlite + 全部表（StaticPool 单连接共享，同现有测试模式）。"""
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engine = create_engine(
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"sqlite://", poolclass=StaticPool, connect_args={"check_same_thread": False}
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)
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with engine.begin() as conn:
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for ddl in SQLITE_TABLES.values():
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conn.execute(text(ddl))
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return engine
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