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tp-ems/core/backend/app/services/quota_checker.py

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"""配额检测服务 - 计算配额使用率,超限时生成告警事件"""
import logging
from datetime import datetime, timezone, timedelta
from sqlalchemy import select, func, and_
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.quota import EnergyQuota, QuotaUsage
from app.models.alarm import AlarmEvent
from app.models.energy import EnergyDailySummary
from app.hooks import get_hooks
logger = logging.getLogger("quota_checker")
def _get_period_range(period: str, now: datetime) -> tuple[datetime, datetime]:
"""根据配额周期计算当前统计区间"""
if period == "monthly":
start = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
# 下月1号
if now.month == 12:
end = start.replace(year=now.year + 1, month=1)
else:
end = start.replace(month=now.month + 1)
else: # yearly
start = now.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0)
end = start.replace(year=now.year + 1)
return start, end
async def check_quotas(session: AsyncSession):
"""主配额检测循环,计算每个活跃配额的使用率并更新记录"""
now = datetime.now(timezone.utc)
result = await session.execute(
select(EnergyQuota).where(EnergyQuota.is_active == True)
)
quotas = result.scalars().all()
hooks = get_hooks()
for quota in quotas:
period_start, period_end = _get_period_range(quota.period, now)
# 从 EnergyDailySummary 汇总实际用量
# target_id 对应 device_groups这里按 device_id 关联
# 简化处理:按 energy_type 汇总所有匹配设备的消耗
usage_query = select(func.coalesce(func.sum(EnergyDailySummary.total_consumption), 0)).where(
and_(
EnergyDailySummary.energy_type == quota.energy_type,
EnergyDailySummary.date >= period_start,
EnergyDailySummary.date < period_end,
)
)
actual_value = (await session.execute(usage_query)).scalar() or 0
# 计算使用率
usage_rate_pct = (actual_value / quota.quota_value * 100) if quota.quota_value > 0 else 0
# 确定状态
if usage_rate_pct >= quota.alert_threshold_pct:
status = "exceeded"
elif usage_rate_pct >= quota.warning_threshold_pct:
status = "warning"
else:
status = "normal"
# 更新或创建 QuotaUsage 记录
existing_result = await session.execute(
select(QuotaUsage).where(
and_(
QuotaUsage.quota_id == quota.id,
QuotaUsage.period_start == period_start,
QuotaUsage.period_end == period_end,
)
)
)
usage_record = existing_result.scalar_one_or_none()
if usage_record:
usage_record.actual_value = actual_value
usage_record.usage_rate_pct = usage_rate_pct
usage_record.status = status
usage_record.calculated_at = now
else:
usage_record = QuotaUsage(
quota_id=quota.id,
period_start=period_start,
period_end=period_end,
actual_value=actual_value,
quota_value=quota.quota_value,
usage_rate_pct=usage_rate_pct,
status=status,
)
session.add(usage_record)
# 超过预警阈值时生成告警事件
if status in ("warning", "exceeded"):
# 检查是否已存在未解决的同配额告警
active_alarm = await session.execute(
select(AlarmEvent).where(
and_(
AlarmEvent.title == f"配额预警: {quota.name}",
AlarmEvent.status.in_(["active", "acknowledged"]),
)
)
)
if not active_alarm.scalar_one_or_none():
severity = "critical" if status == "exceeded" else "warning"
event = AlarmEvent(
rule_id=None,
device_id=quota.target_id,
severity=severity,
title=f"配额预警: {quota.name}",
description=f"当前使用 {actual_value:.1f}{quota.unit}"
f"配额 {quota.quota_value:.1f}{quota.unit}"
f"使用率 {usage_rate_pct:.1f}%",
value=actual_value,
threshold=quota.quota_value,
status="active",
triggered_at=now,
)
session.add(event)
logger.info(
f"Quota alert: {quota.name} | usage={actual_value:.1f} "
f"quota={quota.quota_value:.1f} rate={usage_rate_pct:.1f}%"
)
# Customer hook: on_quota_exceeded
try:
await hooks.on_quota_exceeded(quota, usage_record, session)
except Exception as _he:
logger.error(f"Hook on_quota_exceeded error: {_he}")
await session.flush()