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Another speed improvement - data in the FileDataModel is deferred, and not queried until it is specifically used, as the new data structures need to use this model frequently.
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
"""empty message
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Revision ID: 5064b72284b7
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Revises: bec71f7dc652
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Create Date: 2020-05-28 23:54:45.623361
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"""
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = '5064b72284b7'
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down_revision = 'bec71f7dc652'
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branch_labels = None
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depends_on = None
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def upgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.add_column('lookup_file', sa.Column('field_id', sa.String(), nullable=True))
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op.add_column('lookup_file', sa.Column('is_ldap', sa.Boolean(), nullable=True))
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op.add_column('lookup_file', sa.Column('workflow_spec_id', sa.String(), nullable=True))
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op.drop_column('lookup_file', 'value_column')
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op.drop_column('lookup_file', 'label_column')
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# ### end Alembic commands ###
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def downgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.add_column('lookup_file', sa.Column('label_column', sa.VARCHAR(), autoincrement=False, nullable=True))
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op.add_column('lookup_file', sa.Column('value_column', sa.VARCHAR(), autoincrement=False, nullable=True))
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op.drop_column('lookup_file', 'workflow_spec_id')
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op.drop_column('lookup_file', 'is_ldap')
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op.drop_column('lookup_file', 'field_id')
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# ### end Alembic commands ###
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