refactor: Enhance migration script with column existence check and improved error handling (#4680)
* Enhance migration script with column existence check and improved error handling * Refactor migration script to use `column_exists` with explicit parameters
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1 changed files with 24 additions and 10 deletions
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@ -12,6 +12,9 @@ from typing import Sequence, Union
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import sqlalchemy as sa
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import sqlmodel
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from alembic import op
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from sqlalchemy.engine.reflection import Inspector
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from langflow.utils import migration
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# revision identifiers, used by Alembic.
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revision: str = "1ef9c4f3765d"
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@ -21,20 +24,31 @@ depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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conn = op.get_bind()
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# ### commands auto generated by Alembic - please adjust! ###
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try:
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with op.batch_alter_table("apikey", schema=None) as batch_op:
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batch_op.alter_column("name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True)
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except Exception:
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pass
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inspector = Inspector.from_engine(conn) # type: ignore
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table("apikey", schema=None) as batch_op:
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if migration.column_exists(table_name="apikey", column_name="name", conn=conn):
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api_key_columns = inspector.get_columns("apikey")
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name_column = next((column for column in api_key_columns if column["name"] == "name"), None)
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if name_column is not None and isinstance(name_column["type"], sa.VARCHAR) and not name_column["nullable"]:
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batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
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# ### end Alembic commands ###
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def downgrade() -> None:
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# ### commands auto generated by Alembic - please adjust! ###
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try:
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with op.batch_alter_table("apikey", schema=None) as batch_op:
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batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
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except Exception:
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pass
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conn = op.get_bind()
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inspector = Inspector.from_engine(conn) # type: ignore
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with op.batch_alter_table("apikey", schema=None) as batch_op:
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if migration.column_exists(table_name="apikey", column_name="name", conn=conn):
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api_key_columns = inspector.get_columns("apikey")
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name_column = next((column for column in api_key_columns if column["name"] == "name"), None)
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if name_column is not None and isinstance(name_column["type"], sa.VARCHAR) and name_column["nullable"]:
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batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
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# ### end Alembic commands ###
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