I'm trying to create an alembic bulk insert statement to add a row into a model that has a relationship (many-to-many) with another table but don't know if this is possible or if so what syntax to use.
In my current alembic file I do this in two or more steps: 1.) I add the rows to the table represented by the model 2.) I add the rows to the mixer table for the model and its related model/table like so: g.session.bulk_insert_mappings( CvConfiguration, [ { "controlled_vocabulary_type_id": controlled_vocabulary_type( "cv_vessel_type" ), "default_cv_id": cv_vessel_type("well_plate"), }, ], return_defaults=True, ) g.session.flush() mix_cv_organization_cv_configuration_stmt = mix_cv_organization_cv_configuration.insert().values( [ { "cv_organization_id": cv_organization("biologics_generation_group"), "cv_configuration_id": cv_configuration("cv_vessel_type", "well_plate"), }, ], ) g.session.execute(mix_cv_organization_cv_configuration_stmt) I'd really like to combine the relationship into the bulk_insert_mapping if possible, so if the relationship on the SqlAlchemy model is called "used_by_cv_organizations" my insert looks something like this, with the foreign key objects in a list or something. g.session.bulk_insert_mappings( CvConfiguration, [ { "controlled_vocabulary_type_id": controlled_vocabulary_type( "cv_vessel_type" ), "default_cv_id": cv_vessel_type("well_plate"), "used_by_cv_organizations": [ cv_organization("biologics_generation_group") ], }, ], return_defaults=True, ) g.session.flush() Is this possible? Does anyone know how to do it? -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sqlalchemy/f7ddef2f-9152-4b5a-a60e-bf51794f531bn%40googlegroups.com.