Add dodgy data generation fuction

Verification

• I have searched the existing issues to ensure this feature has not already been requested.

Provide a detailed description of the proposed feature.

It would to be able to either

• delete generation data (incase its dodgy)
• mark the generation data as dodgy, so down stream apps dont use it.

What is the motivation for the feature?

there is sometime some dodgy generation data, that we should not let the forecast app use

Outline a potential approach or solution (optional).

• Add a parameter on the generation table called data_quality_check and default to True.
• When reading generation data, only read data_quality_check=True data, (or have this as a default option)
• add a method where we can update this flag in the data-platform. Should take in location_uuid, energy_source, timestamp, and obserer_name

or could just have a method to delete certain ones (and i order to not fully delete them, they could be moved to a separate table)

No files or tests are named. Start by locating the generation table and the Go code that reads generation data; clarify whether the feature should flag records, delete them, or support both, then define tests for updating quality and excluding dodgy records from reads.