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tp-ems/core/backend/app/models/prediction.py

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from sqlalchemy import Column, Integer, String, Float, DateTime, ForeignKey, JSON, Text
from sqlalchemy.sql import func
from app.core.database import Base
class PredictionTask(Base):
"""AI预测任务元数据"""
__tablename__ = "prediction_tasks"
id = Column(Integer, primary_key=True, autoincrement=True)
device_id = Column(Integer, ForeignKey("devices.id"))
prediction_type = Column(String(50), nullable=False) # pv, load, heatpump, optimization
horizon_hours = Column(Integer, default=24)
status = Column(String(20), default="pending") # pending, running, completed, failed
parameters = Column(JSON) # extra config for the prediction run
error_message = Column(Text)
created_at = Column(DateTime(timezone=True), server_default=func.now())
completed_at = Column(DateTime(timezone=True))
class PredictionResult(Base):
"""AI预测结果时序数据"""
__tablename__ = "prediction_results"
id = Column(Integer, primary_key=True, autoincrement=True)
task_id = Column(Integer, ForeignKey("prediction_tasks.id"), nullable=False, index=True)
timestamp = Column(DateTime(timezone=True), nullable=False, index=True)
predicted_value = Column(Float, nullable=False)
confidence_lower = Column(Float)
confidence_upper = Column(Float)
actual_value = Column(Float) # filled later for accuracy tracking
unit = Column(String(20))
class OptimizationSchedule(Base):
"""AI优化调度建议"""
__tablename__ = "optimization_schedules"
id = Column(Integer, primary_key=True, autoincrement=True)
device_id = Column(Integer, ForeignKey("devices.id"))
date = Column(DateTime(timezone=True), nullable=False, index=True)
schedule_data = Column(JSON) # hourly on/off + setpoints
expected_savings_kwh = Column(Float, default=0)
expected_savings_yuan = Column(Float, default=0)
status = Column(String(20), default="pending") # pending, approved, executed, rejected
approved_by = Column(Integer, ForeignKey("users.id"))
approved_at = Column(DateTime(timezone=True))
created_at = Column(DateTime(timezone=True), server_default=func.now())