92ec910a13
Shared backend + frontend for multi-customer EMS deployments. - 12 enterprise modules: quota, cost, charging, maintenance, analysis, etc. - 120+ API endpoints, 37 database tables - Customer config mechanism (CUSTOMER env var + YAML config) - Collectors: Modbus TCP, MQTT, HTTP API, Sungrow iSolarCloud - Frontend: React 19 + Ant Design + ECharts + Three.js - Infrastructure: Redis cache, rate limiting, aggregation engine Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
49 lines
2.1 KiB
Python
49 lines
2.1 KiB
Python
from sqlalchemy import Column, Integer, String, Float, DateTime, ForeignKey, JSON, Text
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from sqlalchemy.sql import func
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from app.core.database import Base
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class PredictionTask(Base):
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"""AI预测任务元数据"""
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__tablename__ = "prediction_tasks"
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id = Column(Integer, primary_key=True, autoincrement=True)
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device_id = Column(Integer, ForeignKey("devices.id"))
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prediction_type = Column(String(50), nullable=False) # pv, load, heatpump, optimization
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horizon_hours = Column(Integer, default=24)
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status = Column(String(20), default="pending") # pending, running, completed, failed
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parameters = Column(JSON) # extra config for the prediction run
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error_message = Column(Text)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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completed_at = Column(DateTime(timezone=True))
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class PredictionResult(Base):
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"""AI预测结果时序数据"""
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__tablename__ = "prediction_results"
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id = Column(Integer, primary_key=True, autoincrement=True)
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task_id = Column(Integer, ForeignKey("prediction_tasks.id"), nullable=False, index=True)
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timestamp = Column(DateTime(timezone=True), nullable=False, index=True)
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predicted_value = Column(Float, nullable=False)
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confidence_lower = Column(Float)
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confidence_upper = Column(Float)
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actual_value = Column(Float) # filled later for accuracy tracking
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unit = Column(String(20))
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class OptimizationSchedule(Base):
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"""AI优化调度建议"""
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__tablename__ = "optimization_schedules"
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id = Column(Integer, primary_key=True, autoincrement=True)
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device_id = Column(Integer, ForeignKey("devices.id"))
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date = Column(DateTime(timezone=True), nullable=False, index=True)
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schedule_data = Column(JSON) # hourly on/off + setpoints
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expected_savings_kwh = Column(Float, default=0)
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expected_savings_yuan = Column(Float, default=0)
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status = Column(String(20), default="pending") # pending, approved, executed, rejected
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approved_by = Column(Integer, ForeignKey("users.id"))
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approved_at = Column(DateTime(timezone=True))
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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