94e2af36dc7b_add_fluxcd_input_table.py 1.9 KB

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  1. """add_FluxCd_input_table
  2. Revision ID: 94e2af36dc7b
  3. Revises: 6fabcd91710d
  4. Create Date: 2025-07-12 01:08:58.604130
  5. """
  6. from alembic import op
  7. import sqlalchemy as sa
  8. # revision identifiers, used by Alembic.
  9. revision = '94e2af36dc7b'
  10. down_revision = '6fabcd91710d'
  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('FluxCd_input_data',
  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='关联农地ID'),
  19. sa.Column('Sample_ID', sa.Integer(), nullable=False, comment='关联样点ID'),
  20. sa.Column('Initial_Cd', sa.Float(), nullable=False, comment='土壤初始Cd总量[g/ha](100m×100m栅格)'),
  21. sa.Column('DQCJ_Cd', sa.Float(), nullable=False, comment='大气沉降输入镉[g/ha/a]'),
  22. sa.Column('GGS_Cd', sa.Float(), nullable=False, comment='灌溉水输入镉[g/ha/a]'),
  23. sa.Column('NCP_Cd', sa.Float(), nullable=False, comment='农业投入品输入镉[g/ha/a]'),
  24. sa.Column('DX_Cd', sa.Float(), nullable=True, comment='地下渗漏输出镉[g/ha/a]'),
  25. sa.Column('DB_Cd', sa.Float(), nullable=True, comment='地表径流输出镉[g/ha/a]'),
  26. sa.Column('ZL_Cd', sa.Float(), nullable=False, comment='籽粒移除输出镉[g/ha/a]'),
  27. sa.Column('JG_Cd', sa.Float(), nullable=False, comment='秸秆移除输出镉[g/ha/a]'),
  28. sa.ForeignKeyConstraint(['Farmland_ID', 'Sample_ID'], ['Farmland_data.Farmland_ID', 'Farmland_data.Sample_ID'], ),
  29. sa.PrimaryKeyConstraint('ID'),
  30. comment='通量镉预测模型输入数据'
  31. )
  32. # ### end Alembic commands ###
  33. def downgrade():
  34. """将数据库降级到上一版本"""
  35. # ### commands auto generated by Alembic - please adjust! ###
  36. op.drop_table('FluxCd_input_data')
  37. # ### end Alembic commands ###