依据《实现方案-风控追加需求v1.1-C4C6.md》§2;不改表结构(alert_type/status 复用 payload 承载,audit_log.event_type 为 VARCHAR 可直接扩)。 1. settings.py + .env.example:一次性加齐风控追加 v1.1 共 11 项配置(C4~C6 共用)。 2. core_ro.concentration_profile(customer_id, limit=500):一次 SQL 取明细 (LIMIT limit+1 探测截断)+ Python 端按 min_risk_code in (R4,R5) 聚合; 收口挂账 #1(PRD 字面为 list_holdings,改聚合封装,docstring 注明偏离)。 3. rules.py:RULE_SCORES/RULE_ALERT_TYPES 加 RISK-006=60/pattern;RuleHit 加 alert_subtype;RiskThresholds 加 concentration_threshold 且 from_settings 必须补读(评审 P1-2:漏读会让 conftest monkeypatch 失效打穿现有断言); 新增纯函数 rule_concentration——空仓不触发、截断视同达标(保守告警)、 阈值边界 79.9% 不触发 / 80% 触发、R4+R5 为 0 不触发。 4. engine.process_trade_event:run_rules 之后、record_trade_alerts 之前并入 集中度命中(不动 run_rules 签名);命中后 L3 打 high_risk_concentration 标签 + 写 risk_concentration 审计(金额只落合计与前 5 条摘要)。 5. risk_repository:find_pending_event_alert 改候选 LIMIT 50 + Python 过滤掉 payload.alert_subtype 含 agent_behavior 的单(评审 P0-1:代理人维度行为链单 不得充当客户维度事件单的聚合锚点);append_alert_event 加 extra_subtypes 合并进 payload.alert_subtype(不传时行为与原先一致,向后兼容)。 6. alert_service:subtypes 集合维护(空集不注入 payload,评审 P2-3); 追加时 alert_type 按「老单规则 ∪ 本批规则」重算(评审 P1-3,修掉既有 large_amount 单被本批仅 RISK-006(60) 翻转为 pattern 的缺陷); _publish_alert 加 notify_role/extra 可选参数(C5/C6 复用)。 7. 对话线:chat_tools.customer_context 加 profile(concentration_ratio/ r45_value/total_value/holdings_truncated),tool_service.summarize 加 「高风险持仓占比 X%(仅供参考)」;不新增意图词。 8. 02-redis-keys.md 增补 alert_subtype / escalation_level 附加推送字段。 测试:conftest 加 autouse _disable_concentration_rule(阈值推 1.01 做回归隔离, 现有用例断言零改动);test_risk_rules 加 RISK-006 纯函数 6 例;新建 tests/test_concentration_c4.py 11 例(与 RISK-001 同单聚合、score max=70、 L3 tag、risk_concentration 审计、仅集中度也出单、subtype 合并、P0-1 回归、 alert_type 不翻转、对话线 ratio)。全量 453 绿(436 + 17)。
148 lines
7.0 KiB
Python
148 lines
7.0 KiB
Python
"""pytest 全局 fixture(B8 · 开发计划 B8 行)。
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- sqlite_engine:内存库 + tests/_ddl.py 单一事实源建表(单测共用)。
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- 集成测试(test_integration_risk.py)收集期先调 ensure_risk_demo_ready():
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本机演示数据未就位(未跑 FLOW §0 ③④)时整模块 skip 并给提示,单测不受影响。
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- risk_demo_env(session):真 MySQL(jinrong_agent/jinrong_core)集成环境,
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setup 幂等代跑 prepare_risk_demo.sql(UPDATE 语义)+ L3 快照,teardown 按
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TRD-TEST- 前缀 + session 时间窗清理测试交易及其预警/校验/审计行,并还原 L3。
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注意:时间窗清理假定测试期间无他人向演示库写入(学习项目单机约定)。
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"""
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from __future__ import annotations
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from datetime import datetime
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from pathlib import Path
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import pytest
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from sqlalchemy import text
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from _ddl import create_sqlite_engine, seed_suitability_matrix
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ROOT = Path(__file__).resolve().parent.parent
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DEMO_SQL = ROOT / "scripts" / "demo" / "prepare_risk_demo.sql"
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@pytest.fixture(autouse=True)
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def _disable_concentration_rule(monkeypatch):
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"""RISK-006 回归隔离(C4 起):默认把集中度阈值推到不可达,现有用例断言零改动。
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RISK-006 在引擎里对**每一笔**交易都会查持仓画像,若沿用默认 0.80,
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现有 436 条用例中断言「命中规则集合 / 单日一张单」的会被新规则打穿。
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故全局默认禁用;RISK-006 专属测试内再显式传 `RiskThresholds(...)` 或
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再次 monkeypatch 回真实阈值 0.80(实现方案 §6 全量回归口径,评审 P1-2)。
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前置条件:`RiskThresholds.from_settings()` 必须补读 concentration_threshold,
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否则此处 monkeypatch 不生效(rules.py 已补读并注明)。
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"""
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from app.config.settings import settings
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monkeypatch.setattr(settings, "risk_concentration_threshold", 1.01)
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@pytest.fixture()
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def sqlite_engine():
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"""内存 sqlite 全表引擎(B8 前 DDL 散落各测试文件,收敛后统一走这里)。
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AL-05 起统一灌 C×R 矩阵种子(check_suitability 以矩阵表为 L0 权威,
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缺失即全量 forbidden,见 _ddl.seed_suitability_matrix)。
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"""
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engine = create_sqlite_engine()
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seed_suitability_matrix(engine)
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yield engine
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engine.dispose()
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# ---------- 真库集成环境(B8 集成测试专用) ----------
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def ensure_risk_demo_ready() -> None:
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"""演示数据就位校验(开发计划 B8-a):缺失则 skip 集成模块并提示 bootstrap。
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在集成测试模块收集期调用;失败 pytest.skip(allow_module_level=True) 只跳过
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该模块,sqlite 单测不受影响。校验口径:CUST-4001 测评 <365 天、AML 名单 ≥8。
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"""
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from app.config.settings import settings
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from app.utils.db import get_engine
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hint = "先跑 FLOW §0 ③④:scripts/core/reset.ps1 → 01-mysql-共用底座.sql →" " 02-mysql-agent专用.sql → scripts/agent/seed-aml-list.sql → prepare_risk_demo.sql"
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try:
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core = get_engine(settings.mysql_core_database)
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agent = get_engine(settings.mysql_database)
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with core.connect() as conn:
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# FM-03 口径(AL-05 换核):expires_at 未过期即就位(原 evaluated_at+365 天口径退役)
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days = conn.execute(
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text(
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"SELECT DATEDIFF(expires_at, CURDATE()) FROM core_customer_risk"
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" WHERE customer_id = 'CUST-4001'"
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)
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).scalar_one_or_none()
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if days is None or days <= 0:
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pytest.skip(f"演示数据未就位(CUST-4001 风评 expires_at 剩余 {days} 天):{hint}", allow_module_level=True)
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with agent.connect() as conn:
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aml_count = conn.execute(
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text("SELECT COUNT(*) FROM risk_aml_list WHERE is_active = 1")
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).scalar_one()
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if aml_count < 8:
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pytest.skip(f"演示数据未就位(AML 名单仅 {aml_count} 条):{hint}", allow_module_level=True)
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except Exception as exc:
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# pytest.skip 抛出的 Skipped 继承 BaseException,不会被此处吞掉,直接向上传播
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pytest.skip(f"本机 MySQL 不可用({exc}):{hint}", allow_module_level=True)
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def _run_demo_sql(core_engine) -> None:
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"""幂等代跑 prepare_risk_demo.sql(开发计划 B8-b):文件须保持无存储过程/DELIMITER。"""
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statements = [s.strip() for s in DEMO_SQL.read_text(encoding="utf-8").split(";") if s.strip()]
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with core_engine.begin() as conn:
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for stmt in statements:
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if stmt.upper().startswith("USE "):
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continue # engine 默认库已由 URL 指定
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conn.execute(text(stmt))
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def _cleanup_test_rows(agent_engine, core_engine, started_at: datetime) -> None:
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"""TRD-TEST- teardown(开发计划 B8-c):测试交易及其关联行 + 时间窗兜底 + L3 还原。"""
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with core_engine.begin() as conn:
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conn.execute(text("DELETE FROM core_trade WHERE trade_id LIKE 'TRD-TEST-%'"))
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with agent_engine.begin() as conn:
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conn.execute(text("DELETE FROM risk_alert WHERE trade_id LIKE 'TRD-TEST-%' OR created_at >= :ts"), {"ts": started_at})
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conn.execute(text("DELETE FROM risk_suitability_log WHERE request_ref LIKE 'TRD-TEST-%' OR created_at >= :ts"), {"ts": started_at})
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conn.execute(text("DELETE FROM audit_log WHERE created_at >= :ts"), {"ts": started_at})
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@pytest.fixture(scope="session")
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def risk_demo_env():
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"""真 MySQL 集成环境:setup 快照 L3 → yield engines → teardown 清理 + 引擎 dispose。"""
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from app.config.settings import settings
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from app.utils.db import dispose_engines, get_engine
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core = get_engine(settings.mysql_core_database)
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agent = get_engine(settings.mysql_database)
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started_at = datetime.now()
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l3_snapshot: list = [] # 哨兵:setup 失败时 teardown 不因未绑定变量掩盖原始异常
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try:
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with agent.begin() as conn:
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l3_snapshot = conn.execute(
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text("SELECT * FROM customer_profile_l3")
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).mappings().all()
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_run_demo_sql(core)
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yield {"agent": agent, "core": core, "started_at": started_at}
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finally:
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try:
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_cleanup_test_rows(agent, core, started_at)
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with agent.begin() as conn:
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conn.execute(text("DELETE FROM customer_profile_l3"))
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for row in l3_snapshot:
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conn.execute(
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text(
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"INSERT INTO customer_profile_l3 (customer_id, monitor_tier,"
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" risk_score, score_dimensions, monitor_tags, last_alert_id,"
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" computed_at, updated_at) VALUES (:customer_id, :monitor_tier,"
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" :risk_score, :score_dimensions, :monitor_tags, :last_alert_id,"
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" :computed_at, :updated_at)"
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),
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dict(row),
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)
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finally:
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dispose_engines()
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