zhanghongyu_0626
ef56c56435
- 新增多个 API 路由：`/api/customers`, `/api/products`, `/api/advisors`, `/api/compliance`, `/api/staff`，支持客户信息、产品详情、理财师客户列表、合规判定及员工上下文查询。 - 引入平台服务层，封装核心只读操作，支持数据脱敏功能。 - 更新依赖注入，确保各 API 路由的权限控制与数据访问一致性。 - 添加相应的单元测试，确保新接口的功能完整性与稳定性。 此更新为代销平台提供了基础的 REST API 支持，增强了系统的可扩展性与可维护性。
189 lines
9.2 KiB
Python
189 lines
9.2 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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is_hnw TINYINT DEFAULT 0, service_tier VARCHAR(16) DEFAULT 'normal')
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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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expires_at TIMESTAMP, is_authoritative TINYINT DEFAULT 1,
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source VARCHAR(32) DEFAULT 'risk_questionnaire',
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investor_category VARCHAR(32) DEFAULT 'ordinary',
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questionnaire_score INTEGER, max_loss_tolerance_pct REAL,
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investment_goal VARCHAR(128), investment_horizon VARCHAR(16),
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professional_approved_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_suitability_rule": """
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CREATE TABLE core_suitability_rule (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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customer_risk_code VARCHAR(8), product_risk_code VARCHAR(8),
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match_result VARCHAR(32), rule_ref VARCHAR(32) DEFAULT 'JR-AST-012')
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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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min_subscribe_amount DECIMAL DEFAULT 1.00, term_days INTEGER,
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requires_disclosure TINYINT DEFAULT 0, is_open TINYINT DEFAULT 1)
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""",
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"core_product_nav": """
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CREATE TABLE core_product_nav (
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product_id VARCHAR(64), nav_date DATE, nav DECIMAL, daily_chg_pct REAL)
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""",
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"core_staff": """
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CREATE TABLE core_staff (
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staff_id VARCHAR(64) PRIMARY KEY, display_name VARCHAR(128),
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staff_type VARCHAR(32), roles TEXT, is_active TINYINT DEFAULT 1)
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""",
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"core_holding": """
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CREATE TABLE core_holding (
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customer_id VARCHAR(64), product_id VARCHAR(64),
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market_value DECIMAL, quantity DECIMAL)
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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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"agent_session": f"""
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CREATE TABLE agent_session (
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id INTEGER PRIMARY KEY AUTOINCREMENT, session_id VARCHAR(64) UNIQUE,
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trace_id VARCHAR(64), agent_type VARCHAR(16), actor_id VARCHAR(64),
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actor_role VARCHAR(32), customer_id VARCHAR(64), advisor_id VARCHAR(64),
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title VARCHAR(256), status VARCHAR(16) DEFAULT 'active',
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created_at {_TS}, closed_at TIMESTAMP)
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""",
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"agent_message": f"""
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CREATE TABLE agent_message (
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id INTEGER PRIMARY KEY AUTOINCREMENT, session_id VARCHAR(64),
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trace_id VARCHAR(64), seq_no INTEGER, role VARCHAR(16),
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content TEXT, has_disclaimer TINYINT DEFAULT 0, token_est INTEGER,
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created_at {_TS})
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""",
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"agent_tool_call": f"""
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CREATE TABLE agent_tool_call (
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id INTEGER PRIMARY KEY AUTOINCREMENT, session_id VARCHAR(64),
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trace_id VARCHAR(64), message_id INTEGER, tool_name VARCHAR(128),
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tool_input TEXT, tool_output TEXT, status VARCHAR(16),
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error_code VARCHAR(64), latency_ms INTEGER,
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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) NOT NULL,
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customer_id VARCHAR(64) NOT NULL, product_id VARCHAR(64) NOT NULL,
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product_name VARCHAR(128),
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customer_risk_level VARCHAR(8) NOT NULL, product_risk_level VARCHAR(8) NOT NULL,
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investor_category VARCHAR(32) DEFAULT 'ordinary',
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match_result VARCHAR(32) NOT NULL, mismatch_type VARCHAR(32) DEFAULT 'none',
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is_matched TINYINT, is_blocked TINYINT DEFAULT 0,
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requires_disclosure TINYINT DEFAULT 0, needs_branch_confirm TINYINT DEFAULT 0,
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risk_was_expired TINYINT DEFAULT 0,
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block_reason VARCHAR(512), block_response_code VARCHAR(32),
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check_source VARCHAR(16) DEFAULT 'r02_trade', actor_id VARCHAR(64),
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request_ref VARCHAR(64), profile_l1_version VARCHAR(32),
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rule_refs TEXT, 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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# C×R 适当性矩阵测试种子（与 scripts/core/02-seed-base.sql 25 行逐格一致；
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# AL-05 换核后 check_suitability 以矩阵表为 L0 权威，缺失即全量 forbidden）
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SUITABILITY_MATRIX_SEED: list[tuple[str, str, str]] = [
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("C1", "R1", "allowed"), ("C1", "R2", "allowed"), ("C1", "R3", "forbidden"),
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("C1", "R4", "forbidden"), ("C1", "R5", "forbidden"),
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("C2", "R1", "allowed"), ("C2", "R2", "allowed"), ("C2", "R3", "allowed"),
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("C2", "R4", "forbidden"), ("C2", "R5", "forbidden"),
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("C3", "R1", "allowed"), ("C3", "R2", "allowed"), ("C3", "R3", "allowed"),
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("C3", "R4", "allowed_with_disclosure"), ("C3", "R5", "forbidden"),
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("C4", "R1", "allowed"), ("C4", "R2", "allowed"), ("C4", "R3", "allowed"),
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("C4", "R4", "allowed"), ("C4", "R5", "allowed_with_disclosure"),
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("C5", "R1", "allowed"), ("C5", "R2", "allowed"), ("C5", "R3", "allowed"),
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("C5", "R4", "allowed"), ("C5", "R5", "allowed"),
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]
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def seed_suitability_matrix(engine) -> None:
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"""给 sqlite 测试库灌 25 行 C×R 矩阵（各涉及适当性的测试 fixture 调用）。"""
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with engine.begin() as conn:
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for c, r, m in SUITABILITY_MATRIX_SEED:
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conn.execute(
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text(
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"INSERT INTO core_suitability_rule "
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"(customer_risk_code, product_risk_code, match_result) "
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"VALUES (:c, :r, :m)"
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),
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{"c": c, "r": r, "m": m},
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)
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