Files
group_fqcd_jr/app/service/risk_scan_service.py
T
lzf_0626 8ac0b794ff fix(risk): 收敛剩余的时区口径(REST 时间参数、年龄、日报日期字段)
接 b3da1b6。上一条只改了凌晨规则与日报日界,剩下几处一并收掉:

1. risk_query_service.py:77-78:REST 的 start_time/end_time 是**裸 datetime**,
   原先原样透传去比库内 UTC 列,而 Agent 路径本来就带时区
   (risk_natural_language.py:117)——同一条筛选条件在界面与对话里会查出不同结果。
   timeutil 新增 from_local:裸值按**北京时间**解释(面向中国客户的业务系统,
   填表人的预期就是本地时间),带时区的按其自身时区处理。它与 to_utc_naive 的区别
   正在裸值上:取库里的值用后者,接客户端输入用这个。
2. risk_scan_service.py 与 risk_judgement_service.py 的 _age:一处用 UTC 日期、
   一处用服务器 date.today(),生日边界上同一客户会差一岁、65 岁阈值可能翻面。
   统一走 local_date(北京时间)。
3. risk_daily_report_service.py:122 的 report_date 与 :244 的 created_today:
   原先取 UTC 日期,北京 08:00 之前会把"今天新增的预警"算成昨天。

ruff / mypy(135 文件) / 603 unit+contract 全绿。
2026-09-11 12:55:00 +08:00

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"""风控规则扫描与预警生成 Service。
扫描只读取交易、资金、持仓、客户、产品和工单事实;写入仅限预警和审计。
规则扫描不负责通知外发,也不在 Web 进程中启动定时任务。
"""
from __future__ import annotations
import asyncio
import logging
from datetime import UTC, date, datetime, timedelta
from decimal import Decimal
from typing import Any
from uuid import uuid4
from sqlalchemy import Select, func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.contracts import RequestContext
from app.core.errors import AgentError, ConflictAgentError
from app.core.timeutil import local_date, local_hour
from app.model.audit import InteractionAudit
from app.model.fund import (
FundCapitalFlow,
FundCustomerProfile,
FundProduct,
FundRiskAlert,
FundTransaction,
)
from app.model.risk import RiskLoginRecord, RiskUser, RiskWorkOrder
from app.service.authorization_service import AuthorizationService
from app.service.risk_notification_service import RiskNotificationService
HIGH_RISK = "高"
MEDIUM_RISK = "中"
LOW_RISK = "低"
RISK_ORDER = {LOW_RISK: 0, MEDIUM_RISK: 1, HIGH_RISK: 2}
_scan_lock = asyncio.Lock()
logger = logging.getLogger(__name__)
class RiskScanBusyError(ConflictAgentError):
"""同一进程内已有扫描任务执行。"""
class RiskScanError(AgentError):
"""规则扫描失败。"""
code = "AGENT_INTERNAL_ERROR"
status_code = 500
class RiskRuleEngine:
"""五条当前启用风控规则的只读判定和预警构造。"""
def __init__(self, session: AsyncSession) -> None:
self.session = session
self._handler_id: int | None = None
async def refresh_alerts(self) -> list[FundRiskAlert]:
self._handler_id = await self._risk_operator_id()
alerts: list[FundRiskAlert] = []
alerts.extend(await self._fast_in_fast_out())
alerts.extend(await self._suitability_mismatch())
alerts.extend(await self._elderly_redemption())
alerts.extend(await self._low_risk_night_trade())
alerts.extend(await self._auto_investment_false_positive())
alerts = self._merge_same_transaction_alerts(alerts)
for alert in alerts:
self.session.add(alert)
self.session.add(InteractionAudit(
actor_type="system",
target_customer_id=alert.customer_id,
portal="api",
action_type="risk_alert_created",
detail={"alert_no": alert.alert_no, "rule_codes": alert.trigger_rule_codes},
created_at=datetime.now(UTC).replace(tzinfo=None),
))
await self.session.flush()
return alerts
async def _fast_in_fast_out(self) -> list[FundRiskAlert]:
alerts: list[FundRiskAlert] = []
transactions = await self._scalars(
select(FundTransaction).where(FundTransaction.transaction_type == "赎回")
)
for transaction in transactions:
if transaction.confirmed_at is None or transaction.amount is None:
continue
capital = await self.session.scalar(
select(FundCapitalFlow)
.where(
FundCapitalFlow.customer_id == transaction.customer_id,
FundCapitalFlow.flow_type == "入金",
FundCapitalFlow.status == "成功",
FundCapitalFlow.settled_at.is_not(None),
FundCapitalFlow.settled_at <= transaction.confirmed_at,
FundCapitalFlow.settled_at >= transaction.confirmed_at - timedelta(days=3),
)
.order_by(FundCapitalFlow.settled_at.desc())
.limit(1)
)
if capital is None or capital.amount <= 0:
continue
ratio = Decimal(transaction.amount) / Decimal(capital.amount)
if ratio >= Decimal("0.8") and transaction.amount >= 500000 and not await self._exists(
transaction.id, "RW-003"
):
alerts.append(self._build_alert(
transaction=transaction,
alert_type="大额快进快出",
level=HIGH_RISK,
rules=["RW-003"],
summary=(
f"3 日内入金 {capital.amount:.0f} 元后赎回 "
f"{transaction.amount:.0f} 元,赎回比例 {ratio:.2%}。"
),
priority=98,
event_status="正在发生",
evidence={
"product_id": transaction.product_id,
"capital_flow_id": capital.id,
"flow_no": capital.flow_no,
"ratio": str(ratio),
},
))
return alerts
async def _suitability_mismatch(self) -> list[FundRiskAlert]:
alerts: list[FundRiskAlert] = []
transactions = await self._scalars(
select(FundTransaction).where(FundTransaction.transaction_type == "申购")
)
for transaction in transactions:
customer = await self.session.get(RiskUser, transaction.customer_id)
product = await self.session.get(FundProduct, transaction.product_id)
work_order = (
await self.session.get(RiskWorkOrder, transaction.work_order_id)
if transaction.work_order_id is not None
else None
)
if (
customer is None
or product is None
or not customer.investor_type
or await self._exists(transaction.id, "RW-007")
):
continue
gap = _level_value(product.risk_level, "R") - _level_value(customer.investor_type, "C")
missing_trace = (
(
product.risk_disclosure_required
and (
work_order is None
or work_order.risk_disclosure_ack_at is None
)
)
or (
product.second_confirmation_required
and (
work_order is None
or work_order.second_confirmation_at is None
)
)
or (
product.recording_required
and (work_order is None or not work_order.recording_reference)
)
)
if gap > 0 and missing_trace:
level = HIGH_RISK if gap >= 2 else MEDIUM_RISK
alerts.append(self._build_alert(
transaction=transaction,
alert_type="适当性错配",
level=level,
rules=["RW-007"],
summary=(
f"{customer.investor_type} 客户购买 "
f"{product.risk_level} 产品,交易留痕不完整。"
),
priority=90 if level == HIGH_RISK else 70,
event_status="刚刚发生",
evidence={
"product_id": product.id,
"level_gap": gap,
"work_order_id": transaction.work_order_id,
},
))
return alerts
async def _elderly_redemption(self) -> list[FundRiskAlert]:
alerts: list[FundRiskAlert] = []
transactions = await self._scalars(
select(FundTransaction).where(FundTransaction.transaction_type == "赎回")
)
for transaction in transactions:
if transaction.confirmed_at is None or transaction.amount is None:
continue
profile = await self.session.get(FundCustomerProfile, transaction.customer_id)
age = _age(profile.birth_date) if profile else 0
if profile is None or age < 65 or transaction.amount < 300000:
continue
average = await self.session.scalar(
select(func.avg(FundTransaction.amount)).where(
FundTransaction.customer_id == transaction.customer_id,
FundTransaction.id != transaction.id,
FundTransaction.confirmed_at >= transaction.confirmed_at - timedelta(days=365),
)
)
if average is None or transaction.amount < Decimal(average) * 3:
continue
login = await self.session.scalar(
select(RiskLoginRecord)
.where(
RiskLoginRecord.user_id == transaction.customer_id,
RiskLoginRecord.login_result == "成功",
RiskLoginRecord.login_at <= transaction.confirmed_at,
)
.order_by(RiskLoginRecord.login_at.desc())
.limit(1)
)
if login is not None and not login.is_common_device and not await self._exists(
transaction.id, "RW-012"
):
alerts.append(self._build_alert(
transaction=transaction,
alert_type="老年客户异常大额赎回",
level=HIGH_RISK,
rules=["RW-012"],
summary=(
f"{age} 岁客户赎回 {transaction.amount:.0f} 元,"
"超过历史均值且使用非常用设备。"
),
priority=96,
event_status="正在发生",
evidence={
"product_id": transaction.product_id,
"age": age,
"device_id": login.device_id,
},
))
return alerts
async def _low_risk_night_trade(self) -> list[FundRiskAlert]:
alerts: list[FundRiskAlert] = []
for transaction in await self._scalars(select(FundTransaction)):
if (
transaction.confirmed_at is not None
# 必须按**北京时间**判断"凌晨":库里存 UTC,直接取 .hour 会让
# [0,6) UTC 变成北京 08:00–14:00,整条规则判的是上午(docs/25 P1 #6)。
and 0 <= local_hour(transaction.confirmed_at) < 6
and transaction.amount is not None
and transaction.amount <= 10000
and not await self._exists(transaction.id, "RW-015")
):
alerts.append(self._build_alert(
transaction=transaction,
alert_type="非正常时段小额操作",
level=LOW_RISK,
rules=["RW-015"],
summary=f"凌晨时段发生 {transaction.amount:.0f} 元交易,金额较小。",
priority=20,
event_status="盘后预警",
evidence={
"product_id": transaction.product_id,
"hour": transaction.confirmed_at.hour,
},
))
return alerts
async def _auto_investment_false_positive(self) -> list[FundRiskAlert]:
alerts: list[FundRiskAlert] = []
transactions = await self._scalars(
select(FundTransaction).where(FundTransaction.work_order_id.is_not(None))
)
for transaction in transactions:
work_order = await self.session.get(RiskWorkOrder, transaction.work_order_id)
if (
work_order is not None
and work_order.channel in {"定投", "自动定投"}
and not await self._exists(transaction.id, "RW-018")
):
alerts.append(self._build_alert(
transaction=transaction,
alert_type="频繁交易初筛",
level=LOW_RISK,
rules=["RW-018"],
summary="近 30 天交易频率较高,但交易来自有效定投工单。",
priority=10,
event_status="盘后预警",
evidence={
"product_id": transaction.product_id,
"work_order_no": work_order.work_order_no,
"channel": work_order.channel,
},
))
return alerts
def _build_alert(
self,
*,
transaction: FundTransaction,
alert_type: str,
level: str,
rules: list[str],
summary: str,
priority: int,
event_status: str,
evidence: dict[str, object],
) -> FundRiskAlert:
now = datetime.now(UTC).replace(tzinfo=None)
return FundRiskAlert(
id=_new_alert_id(),
alert_no=f"AL{uuid4().hex[:12].upper()}",
customer_id=transaction.customer_id,
related_transaction_id=transaction.id,
related_order_id=transaction.order_id,
related_work_order_id=transaction.work_order_id,
alert_type=alert_type,
alert_level=level,
trigger_rule_codes=rules,
evidence_summary=summary,
evidence_snapshot=evidence,
priority_score=priority,
event_status=event_status,
status="待处理",
ack_status="未确认",
handler_id=self._handler_id,
due_at=now + timedelta(minutes=30) if level == HIGH_RISK else None,
is_escalated=0,
created_at=now,
updated_at=now,
)
async def _exists(self, transaction_id: int, rule_code: str) -> bool:
return await self.session.scalar(
select(FundRiskAlert.id).where(
FundRiskAlert.related_transaction_id == transaction_id,
FundRiskAlert.trigger_rule_codes.contains([rule_code]),
)
) is not None
async def _risk_operator_id(self) -> int | None:
value = await self.session.scalar(
select(RiskUser.id)
.where(RiskUser.employee_role == "risk_operator", RiskUser.status == "正常")
.order_by(RiskUser.id.asc())
.limit(1)
)
return int(value) if value is not None else None
async def _scalars(self, statement: Select[Any]) -> list[Any]:
result = await self.session.scalars(statement)
return list(result.all())
@staticmethod
def _merge_same_transaction_alerts(alerts: list[FundRiskAlert]) -> list[FundRiskAlert]:
grouped: dict[int | None, list[FundRiskAlert]] = {}
for alert in alerts:
grouped.setdefault(alert.related_transaction_id, []).append(alert)
merged: list[FundRiskAlert] = []
for transaction_id, items in grouped.items():
if transaction_id is None or len(items) == 1:
merged.extend(items)
continue
primary = max(items, key=lambda item: item.priority_score)
primary.trigger_rule_codes = list(
dict.fromkeys(code for item in items for code in item.trigger_rule_codes)
)
primary.evidence_summary = ";".join(item.evidence_summary for item in items)
primary.evidence_snapshot = {
"product_id": primary.evidence_snapshot.get("product_id"),
"merged_alerts": [
{"alert_type": item.alert_type, "evidence": item.evidence_snapshot}
for item in items
],
}
primary.alert_level = max(
(item.alert_level for item in items),
key=RISK_ORDER.__getitem__,
)
primary.priority_score = max(item.priority_score for item in items)
merged.append(primary)
return merged
class RiskScanService:
def __init__(
self,
session: AsyncSession,
*,
rule_engine: RiskRuleEngine | None = None,
notification_service: RiskNotificationService | None = None,
notification_enabled: bool = True,
notification_email: str | None = None,
mail_enabled: bool = False,
) -> None:
self.session = session
self.rule_engine = rule_engine or RiskRuleEngine(session)
self.notification_service = notification_service or RiskNotificationService(session)
self.notification_enabled = notification_enabled
self.notification_email = notification_email
self.mail_enabled = mail_enabled
async def scan(self, context: RequestContext) -> dict[str, int | str]:
await AuthorizationService.require(context, "risk:alert:scan")
if _scan_lock.locked():
raise RiskScanBusyError("规则扫描正在执行,请稍后重试")
async with _scan_lock:
try:
alerts = await self.rule_engine.refresh_alerts()
notification_count = await self._create_notifications(alerts)
await self.session.commit()
except Exception as error:
await self.session.rollback()
raise RiskScanError("规则扫描失败") from error
return {
"message": "规则扫描完成",
"created_count": len(alerts),
"high_risk_count": sum(alert.alert_level == HIGH_RISK for alert in alerts),
"notification_count": notification_count,
}
async def _create_notifications(self, alerts: list[FundRiskAlert]) -> int:
if not self.notification_enabled:
return 0
high_risk = [alert for alert in alerts if alert.alert_level == HIGH_RISK]
if not high_risk:
return 0
try:
async with self.session.begin_nested():
count = 0
for alert in high_risk:
title = f"高风险预警:{alert.alert_type}"
self.notification_service.create_in_app(
alert,
receiver_user_id=alert.handler_id,
title=title,
content=alert.evidence_summary,
)
count += 1
if self.notification_email:
self.notification_service.create_mail_record(
alert,
receiver_email=self.notification_email,
title=title,
content=alert.evidence_summary,
mail_enabled=self.mail_enabled,
)
count += 1
return count
except Exception:
logger.exception("高风险通知记录创建失败,预警扫描继续提交")
return 0
def _new_alert_id() -> int:
"""生成非零 63 位正整数;预警表主键不自增。"""
return uuid4().int & ((1 << 63) - 1) or 1
def _age(birth_date: date | None) -> int:
if birth_date is None:
return 0
# 用**北京时间**的今天:原先用 UTC 日期,而研判侧用服务器 date.today(),
# 两处口径不一致会让同一客户在生日边界上差一岁(docs/25 P1 #6)。
today = local_date(datetime.now(UTC))
return today.year - birth_date.year - (
(today.month, today.day) < (birth_date.month, birth_date.day)
)
def _level_value(level: str, prefix: str) -> int:
return int(level.replace(prefix, ""))