Mlflow Model Version `update` Endpoint

What does this MR do and why?

Implements the update endpoint for Mlflow::ModelVersions, thus users can update model_version description.

• Introduce the update_model_versions_service
• Introduce the endpoint
• Several helper methods
• Remove permission check in shared example
  • as each endpoint has a specific permission check
• Implement https://mlflow.org/docs/2.6.0/rest-api.html#update-modelversion

Screenshots or screen recordings

None, purely backend

Database

Update query

UPDATE "ml_model_versions"
SET "description" = 'my model description'
WHERE "ml_model_versions"."id" = 1

Local explain analyze

Update on ml_model_versions  (cost=0.15..2.17 rows=0 width=0) (actual time=0.092..0.093 rows=0 loops=1)
  ->  Index Scan using ml_model_versions_pkey on ml_model_versions  (cost=0.15..2.17 rows=1 width=38) (actual time=0.027..0.029 rows=1 loops=1)
        Index Cond: (id = 1)
Planning Time: 0.118 ms
Execution Time: 0.138 ms

How to set up and validate locally

Verify the tests that hit the API endpoint and get desired result compliant with Mlflow schema

MR acceptance checklist

This checklist encourages us to confirm any changes have been analyzed to reduce risks in quality, performance, reliability, security, and maintainability.

• I have evaluated the MR acceptance checklist for this MR.