Convert Python library backend to MS SQL Server
Budget: $25 – $50 USD
Hello lovely developers,
I am in the final phases of a Python project that requires ADDING MS SQL SERVER support to the database interaction code. The current database backend being used is Postgres. (I love postgres, but the client's IT department "doesn't support Postgres", so MS SQL Server is what we have to change it.)
This work will require enough testing and understanding of the source data to confirm that the new MS SQL adapter code produces the same data that the Postgres code was producing.
As such, please expect at least 20 hours of work spent writing or editing tests (in Python).
Note: Please do not propose using SQLAlchemy *UNLESS* you can prove to me that the estimated lines of code that will change is *significantly* fewer than the lines of code that would be added simply by adding SQL Server support.
Thanks!
I am in the final phases of a Python project that requires ADDING MS SQL SERVER support to the database interaction code. The current database backend being used is Postgres. (I love postgres, but the client's IT department "doesn't support Postgres", so MS SQL Server is what we have to change it.)
This work will require enough testing and understanding of the source data to confirm that the new MS SQL adapter code produces the same data that the Postgres code was producing.
As such, please expect at least 20 hours of work spent writing or editing tests (in Python).
Note: Please do not propose using SQLAlchemy *UNLESS* you can prove to me that the estimated lines of code that will change is *significantly* fewer than the lines of code that would be added simply by adding SQL Server support.
Thanks!