Comments (1)
Hey @NeoVand! I'm here to help you with any bugs, questions, or contributions while you wait for a human maintainer. Let's tackle this together!
To resolve the error related to the temporary table (_alembic_tmp_flow) already existing in the SQLite database when attempting to run Langflow (version v1.0.0a50), you can modify the Alembic migration script to handle the existence of the temporary table. Here is an updated version of the upgrade
function that includes a check for the existence of the temporary table and drops it if it exists:
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
# Check if the temporary table exists and drop it if it does
if inspector.has_table('_alembic_tmp_flow'):
op.execute('DROP TABLE _alembic_tmp_flow')
# ### commands auto generated by Alembic - please adjust! ###
indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
with op.batch_alter_table("flow", schema=None) as batch_op:
if "ix_flow_endpoint_name" in indexes_names:
batch_op.drop_index("ix_flow_endpoint_name")
batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=False)
if "unique_flow_endpoint_name" not in constraints_names:
batch_op.create_unique_constraint("unique_flow_endpoint_name", ["user_id", "endpoint_name"])
if "unique_flow_name" not in constraints_names:
batch_op.create_unique_constraint("unique_flow_name", ["user_id", "name"])
# ### end Alembic commands ###
This modification ensures that if the temporary table _alembic_tmp_flow
already exists, it will be dropped before proceeding with the rest of the migration [1].
To continue talking to Dosu, mention @dosu.
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