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>
75 lines
3.0 KiB
Python
75 lines
3.0 KiB
Python
from datetime import datetime, timedelta, timezone
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from fastapi import APIRouter, Depends, Query
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, func, and_, text
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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.carbon import CarbonEmission, EmissionFactor
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from app.models.user import User
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router = APIRouter(prefix="/carbon", tags=["碳排放管理"])
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@router.get("/overview")
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async def carbon_overview(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""碳排放总览"""
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now = datetime.now(timezone.utc)
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today_start = now.replace(hour=0, minute=0, second=0, microsecond=0)
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month_start = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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year_start = now.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0)
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async def sum_carbon(start, end):
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r = await db.execute(
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select(func.sum(CarbonEmission.emission), func.sum(CarbonEmission.reduction))
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.where(and_(CarbonEmission.date >= start, CarbonEmission.date < end))
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)
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row = r.first()
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return {"emission": row[0] or 0, "reduction": row[1] or 0}
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today = await sum_carbon(today_start, now)
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month = await sum_carbon(month_start, now)
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year = await sum_carbon(year_start, now)
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# 各scope分布
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scope_q = await db.execute(
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select(CarbonEmission.scope, func.sum(CarbonEmission.emission))
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.where(CarbonEmission.date >= year_start)
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.group_by(CarbonEmission.scope)
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)
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by_scope = {row[0]: round(row[1], 2) for row in scope_q.all()}
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return {
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"today": {"emission": round(today["emission"], 2), "reduction": round(today["reduction"], 2)},
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"month": {"emission": round(month["emission"], 2), "reduction": round(month["reduction"], 2)},
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"year": {"emission": round(year["emission"], 2), "reduction": round(year["reduction"], 2)},
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"by_scope": by_scope,
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}
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@router.get("/trend")
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async def carbon_trend(
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days: int = Query(30, ge=1, le=365),
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db: AsyncSession = Depends(get_db),
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user: User = Depends(get_current_user),
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):
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"""碳排放趋势"""
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start = datetime.now(timezone.utc) - timedelta(days=days)
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result = await db.execute(
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select(
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func.date_trunc('day', CarbonEmission.date).label('day'),
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func.sum(CarbonEmission.emission),
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func.sum(CarbonEmission.reduction),
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).where(CarbonEmission.date >= start)
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.group_by(text('day')).order_by(text('day'))
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)
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return [{"date": str(r[0]), "emission": round(r[1], 2), "reduction": round(r[2], 2)} for r in result.all()]
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@router.get("/factors")
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async def list_factors(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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result = await db.execute(select(EmissionFactor).order_by(EmissionFactor.id))
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return [{
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"id": f.id, "name": f.name, "energy_type": f.energy_type, "factor": f.factor,
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"unit": f.unit, "scope": f.scope, "region": f.region, "source": f.source,
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} for f in result.scalars().all()]
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