f53a610a19
Full-stack energy management system for Tianpu Daxing campus. - Frontend: React 19 + TypeScript + Ant Design + ECharts - Backend: FastAPI + SQLAlchemy + PostgreSQL/TimescaleDB - Features: PV monitoring, heat pump management, carbon tracking, alarms, reports Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
79 lines
3.2 KiB
Python
79 lines
3.2 KiB
Python
from datetime import datetime, timedelta, timezone
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from fastapi import APIRouter, Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, func, and_
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from app.core.database import get_db
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from app.core.deps import get_current_user
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from app.models.device import Device
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from app.models.energy import EnergyData
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from app.models.user import User
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router = APIRouter(prefix="/monitoring", tags=["实时监控"])
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@router.get("/devices/{device_id}/realtime")
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async def device_realtime(device_id: int, db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""获取单台设备的最新实时数据"""
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now = datetime.now(timezone.utc)
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five_min_ago = now - timedelta(minutes=5)
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result = await db.execute(
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select(EnergyData).where(
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and_(EnergyData.device_id == device_id, EnergyData.timestamp >= five_min_ago)
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).order_by(EnergyData.timestamp.desc()).limit(20)
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)
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data_points = result.scalars().all()
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latest = {}
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for d in data_points:
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if d.data_type not in latest:
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latest[d.data_type] = {"value": d.value, "unit": d.unit, "timestamp": str(d.timestamp)}
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device_q = await db.execute(select(Device).where(Device.id == device_id))
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device = device_q.scalar_one_or_none()
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return {
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"device": {
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"id": device.id, "name": device.name, "code": device.code,
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"device_type": device.device_type, "status": device.status,
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"model": device.model, "manufacturer": device.manufacturer,
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} if device else None,
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"data": latest,
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}
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@router.get("/energy-flow")
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async def energy_flow(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""能流图数据 - 展示能量流向"""
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now = datetime.now(timezone.utc)
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five_min_ago = now - timedelta(minutes=5)
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# 获取各类设备最新功率
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result = await db.execute(
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select(Device.device_type, func.sum(EnergyData.value))
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.join(EnergyData, EnergyData.device_id == Device.id)
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.where(and_(EnergyData.timestamp >= five_min_ago, EnergyData.data_type == "power"))
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.group_by(Device.device_type)
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)
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power_by_type = {row[0]: round(row[1], 2) for row in result.all()}
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pv_power = power_by_type.get("pv_inverter", 0)
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hp_power = power_by_type.get("heat_pump", 0)
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total_load = hp_power + power_by_type.get("meter", 0)
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grid_import = max(0, total_load - pv_power)
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grid_export = max(0, pv_power - total_load)
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return {
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"nodes": [
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{"id": "pv", "name": "光伏发电", "power": pv_power, "unit": "kW"},
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{"id": "grid", "name": "电网", "power": grid_import - grid_export, "unit": "kW"},
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{"id": "heatpump", "name": "热泵系统", "power": hp_power, "unit": "kW"},
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{"id": "building", "name": "建筑负荷", "power": total_load, "unit": "kW"},
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],
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"links": [
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{"source": "pv", "target": "building", "value": min(pv_power, total_load)},
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{"source": "pv", "target": "grid", "value": grid_export},
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{"source": "grid", "target": "building", "value": grid_import},
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{"source": "grid", "target": "heatpump", "value": hp_power},
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]
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}
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