50 lines
2.3 KiB
Python
50 lines
2.3 KiB
Python
from sqlalchemy import Column, Integer, String, Float, DateTime, Text, ForeignKey, func
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from app.database import Base
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class ProductionRecord(Base):
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"""生产实绩"""
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__tablename__ = "production_records"
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id = Column(Integer, primary_key=True, index=True)
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coil_no = Column(String(30), nullable=False, index=True) # 兼容旧字段，等同于 sub_coil_no
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sub_coil_no = Column(String(30), index=True, comment="子卷号")
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hot_coil_no = Column(String(30), index=True, comment="热卷号")
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plan_id = Column(Integer, ForeignKey("production_plans.id"), nullable=True)
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shift = Column(String(10), comment="班")
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team = Column(String(10), comment="组")
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steel_grade = Column(String(30), comment="钢种")
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incoming_thickness = Column(Float, comment="来料厚度 mm")
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outlet_thickness = Column(Float, comment="出口厚度 mm")
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deviation_upper = Column(Float, comment="偏差上限")
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deviation_lower = Column(Float, comment="偏差下限")
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incoming_width = Column(Float, comment="来料宽度 mm")
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outlet_width = Column(Float, comment="出口宽度 mm")
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incoming_weight = Column(Float, comment="来料重量 t")
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weighed_weight = Column(Float, comment="称重重量 t")
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packaging_req = Column(String(30), comment="包装要求")
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trim_req = Column(String(30), comment="切边要求")
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surface_quality = Column(String(30), comment="表面质量")
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product_quality = Column(Float, comment="成品质量 %")
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product_length = Column(Float, comment="成品长度 m")
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length_per_ton = Column(Float, comment="吨钢长度 m/t")
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offline_time = Column(DateTime, comment="下线时间")
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status = Column(String(20), default="UNWEIGH", comment="状态: UNWEIGH/PRODUCT")
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# 兼容历史字段
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shift_date = Column(DateTime)
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start_time = Column(DateTime)
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end_time = Column(DateTime)
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process_length = Column(Float)
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process_weight = Column(Float)
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avg_speed = Column(Float)
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max_speed = Column(Float)
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acid_consumption = Column(Float)
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inlet_thickness = Column(Float)
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inlet_width = Column(Float)
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quality_grade = Column(String(10))
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operator = Column(String(50))
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remark = Column(Text)
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created_at = Column(DateTime, server_default=func.now())
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updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now())
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