generated from dopt-python/py311
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
"""update schema to meet customer requirements
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Revision ID: 5dfa1fc1dfdf
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Revises: e290fe18132d
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Create Date: 2026-07-28 08:39:44.168872
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision: str = "5dfa1fc1dfdf"
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down_revision: Union[str, Sequence[str], None] = "e290fe18132d"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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"""Upgrade schema."""
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table("Grunderfassung_Personen", schema=None) as batch_op:
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batch_op.add_column(
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sa.Column("Stammdaten__kanal_aufmerksamkeit", sa.Text(), nullable=True)
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)
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with op.batch_alter_table("Personen_Unternehmen_Zuordnung", schema=None) as batch_op:
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batch_op.add_column(sa.Column("Partnersuche__kontaktweg", sa.Text(), nullable=True))
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batch_op.drop_column("Partnersuche__kanal_aufmerksamkeit")
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# ### end Alembic commands ###
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def downgrade() -> None:
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"""Downgrade schema."""
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table("Personen_Unternehmen_Zuordnung", schema=None) as batch_op:
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batch_op.add_column(
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sa.Column("Partnersuche__kanal_aufmerksamkeit", sa.TEXT(), nullable=True)
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)
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batch_op.drop_column("Partnersuche__kontaktweg")
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with op.batch_alter_table("Grunderfassung_Personen", schema=None) as batch_op:
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batch_op.drop_column("Stammdaten__kanal_aufmerksamkeit")
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# ### end Alembic commands ###
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