fix: tag composite pk in migration (#24722)
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+14
-11
@@ -19,10 +19,12 @@ depends_on: Union[str, Sequence[str], None] = None
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# Tables bootstrapped by the old Peewee migration layer that may have
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# UNIQUE(id) but no PRIMARY KEY constraint. Fresh Alembic installs
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# already have correct PKs from 7e5b5dc7342b_init.py.
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LEGACY_TABLES = [
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'auth', 'chat', 'chatidtag', 'document', 'file',
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'function', 'memory', 'model', 'prompt', 'tag', 'tool', 'user',
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]
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# 'tag' uses a composite PK since the same tag name can exist for multiple users.
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LEGACY_TABLES = {
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'auth': ['id'], 'chat': ['id'], 'chatidtag': ['id'], 'document': ['id'],
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'file': ['id'], 'function': ['id'], 'memory': ['id'], 'model': ['id'],
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'prompt': ['id'], 'tag': ['id', 'user_id'], 'tool': ['id'], 'user': ['id'],
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}
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def upgrade() -> None:
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@@ -30,30 +32,31 @@ def upgrade() -> None:
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inspector = sa.inspect(conn)
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existing_tables = set(inspector.get_table_names())
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for table_name in LEGACY_TABLES:
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for table_name, pk_columns in LEGACY_TABLES.items():
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if table_name not in existing_tables:
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continue
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pk = inspector.get_pk_constraint(table_name)
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pk_cols = pk.get('constrained_columns', [])
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# Already has a proper PK on 'id' — nothing to do
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if pk_cols == ['id']:
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# Already has the correct PK — nothing to do
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if sorted(pk_cols) == sorted(pk_columns):
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continue
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# Check that an 'id' column actually exists
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# Check that all PK columns exist
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columns = {c['name'] for c in inspector.get_columns(table_name)}
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if 'id' not in columns:
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if not all(c in columns for c in pk_columns):
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continue
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print(f"Promoting UNIQUE(id) → PRIMARY KEY for '{table_name}'")
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print(f"Promoting UNIQUE(id) -> PRIMARY KEY({', '.join(pk_columns)}) for '{table_name}'")
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conn.execute(sa.text(f'DROP TABLE IF EXISTS _alembic_tmp_{table_name}'))
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with op.batch_alter_table(table_name) as batch_op:
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# Drop existing PK if any (e.g. on wrong column)
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if pk_cols and pk.get('name'):
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batch_op.drop_constraint(pk['name'], type_='primary')
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batch_op.create_primary_key(f'pk_{table_name}_id', ['id'])
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batch_op.create_primary_key(f'pk_{table_name}', pk_columns)
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def downgrade() -> None:
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