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I used the GitHub search to find a similar issue and didn't find it.
I searched the SQLModel documentation, with the integrated search.
I already searched in Google "How to X in SQLModel" and didn't find any information.
I already read and followed all the tutorial in the docs and didn't find an answer.
I already checked if it is not related to SQLModel but to Pydantic.
I already checked if it is not related to SQLModel but to SQLAlchemy.
Commit to Help
I commit to help with one of those options 👆
Example Code
NA
Description
Add tests that implement the same model in SQLModel and SQLAlchemy, then runs an Alembic migration against an array of databases. This is one way to find disparities in the underlying models generated by SQLModel.
Using Alembic to test the generated models deltas is a good real-world test. Moving from existing SQLAlchemy models to SQLModel's and running migrations is going to be a very common use case.
Wanted Solution
Create a set of isolated docker containers that run sets of Alembic migrations and see if there are any deltas.
Example workflow:
Spin up Postgres 13
Auto-generate an alembic migration based on the SQLAlchemy schema
Apply the Alembic migration to the DB
Auto-generate another alembic migration based on the SQLModel schema
Ensure that Alembic does not think there should be any migrations.
This could be done on a set of different DBs that SQLAlchemy supports.
Wanted Code
NA
Alternatives
Directly comparing the generated SQLAlchemy and SQLModel model's could be a solution, but it lacks the real-world use case and added complexity of using Alembic.
Operating System
Linux
Operating System Details
Docker
SQLModel Version
0.0.4
Python Version
3.9
Additional Context
I would be happy to set up these types of tests as this is my exact real-world use case.
The text was updated successfully, but these errors were encountered:
First Check
Commit to Help
Example Code
NA
Description
Add tests that implement the same model in SQLModel and SQLAlchemy, then runs an Alembic migration against an array of databases. This is one way to find disparities in the underlying models generated by SQLModel.
Using Alembic to test the generated models deltas is a good real-world test. Moving from existing SQLAlchemy models to SQLModel's and running migrations is going to be a very common use case.
Wanted Solution
Create a set of isolated docker containers that run sets of Alembic migrations and see if there are any deltas.
Example workflow:
This could be done on a set of different DBs that SQLAlchemy supports.
Wanted Code
NA
Alternatives
Directly comparing the generated SQLAlchemy and SQLModel model's could be a solution, but it lacks the real-world use case and added complexity of using Alembic.
Operating System
Linux
Operating System Details
Docker
SQLModel Version
0.0.4
Python Version
3.9
Additional Context
I would be happy to set up these types of tests as this is my exact real-world use case.
The text was updated successfully, but these errors were encountered: