58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
from sqlalchemy import Column, String, Enum, ForeignKey
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from sqlalchemy.orm import relationship
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from sqlalchemy.dialects.mysql import LONGTEXT
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from BM02_指标仓库.Schemas.IndexStoreSchemas import NatureEnum
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from BM02_指标仓库.DataBase import Base
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class Indicator(Base):
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__tablename__ = "indicator"
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iid = Column(String(32), primary_key=True)
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ename = Column(String(255), index=True)
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cname = Column(String(255), index=True)
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description = Column(LONGTEXT)
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nature = Column(Enum(NatureEnum, values_callable=lambda obj: [e.value for e in obj]))
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category_id = Column(String(12), ForeignKey("indicator_category.id"))
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category = relationship("IndicatorCategory", backref="indicator")
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parameters = relationship("Parameters", backref="indicator", cascade="all, delete-orphan")
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def to_dict(self):
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_dict = {c.name: getattr(self, c.name, None) for c in self.__table__.columns}
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_dict.update({"category": self.category.__str__()})
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_dict.update({"parameters": [param.to_dict() for param in list(self.parameters)]})
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return _dict
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class Parameters(Base):
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__tablename__ = "parameters"
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pid = Column(String(32), primary_key=True)
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ename = Column(String(255))
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cname = Column(String(255))
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description = Column(LONGTEXT)
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path = Column(String(255))
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_iid = Column(String(32), ForeignKey("indicator.iid", ondelete="CASCADE"))
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def to_dict(self):
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_dict = {c.name: getattr(self, c.name, None) for c in self.__table__.columns}
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return _dict
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class IndicatorCategory(Base):
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__tablename__ = "indicator_category"
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id = Column(String(12), primary_key=True)
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title = Column(String(16), unique=True, index=True)
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def __repr__(self):
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return self.title
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def to_kv(self):
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_dict = dict()
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_dict.update({"key": self.title})
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_dict.update({"value": self.id})
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return _dict
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