2c8efb3e01d8_add_assessment_table.py 1.7 KB

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  1. """add_assessment_table
  2. Revision ID: 2c8efb3e01d8
  3. Revises: 3f2e574cefad
  4. Create Date: 2025-07-12 00:30:29.455412
  5. """
  6. from alembic import op
  7. import sqlalchemy as sa
  8. # revision identifiers, used by Alembic.
  9. revision = '2c8efb3e01d8'
  10. down_revision = '3f2e574cefad'
  11. branch_labels = None
  12. depends_on = None
  13. def upgrade():
  14. """升级数据库到当前版本"""
  15. # ### commands auto generated by Alembic - please adjust! ###
  16. op.create_table('Assessment',
  17. sa.Column('ID', sa.Integer(), autoincrement=True, nullable=False, comment='自增主键'),
  18. sa.Column('Farmland_ID', sa.Integer(), nullable=False, comment='关联Farmland_data表的Farmland_ID'),
  19. sa.Column('Sample_ID', sa.Integer(), nullable=False, comment='关联Farmland_data表的Sample_ID'),
  20. sa.Column('Type', sa.Float(), nullable=True, comment='用地类型:旱地(0)、水田(1)、水浇地(2)'),
  21. sa.Column('IDW_2023SP_Cd', sa.Float(), nullable=True, comment='2023年三普Cd(mg/kg)'),
  22. sa.Column('IDW_2023SP_pH', sa.Float(), nullable=True, comment='2023年三普pH'),
  23. sa.Column('SOM_IDW', sa.Float(), nullable=True, comment='有机质(g/kg)'),
  24. sa.Column('安全生产风险阈值', sa.Float(), nullable=True, comment='安全生产风险阈值'),
  25. sa.Column('污染风险筛选值', sa.Float(), nullable=True, comment='污染风险筛选值'),
  26. sa.ForeignKeyConstraint(['Farmland_ID', 'Sample_ID'], ['Farmland_data.Farmland_ID', 'Farmland_data.Sample_ID'], ),
  27. sa.PrimaryKeyConstraint('ID'),
  28. comment='评价数据表'
  29. )
  30. # ### end Alembic commands ###
  31. def downgrade():
  32. """将数据库降级到上一版本"""
  33. # ### commands auto generated by Alembic - please adjust! ###
  34. op.drop_table('Assessment')
  35. # ### end Alembic commands ###