Programmatically generate partition data for editing

[clizbe]

No description provided.

[abelsiqueira]

My initial vision for this is:

Input:

• 3 DataFrames: assets, flows, and representative periods
• parameters that define basic rules, for instance:
  • explicit = [("Midgard_Hydro", 1, :uniform, 2)] explicit defines a row
• callback function to be applied to the resulting dataframes. For instance, run a query selecting all asset with country == "DE" and set specification=:uniform and partition=2.
• parameters that define rules defined in Find all cases where the flow resolution can/must be inferred TulipaEnergyModel.jl#453

Output:

• 2 DataFrames: partitioning of the assets and partitioning of the flows

Please, when possible, add examples of basic rules, or of things that we want done with callback and/or rules.

[abelsiqueira]

This will be relevant to other parts of the workflow, so I am increasing the priority.

[abelsiqueira]

Blocked by TulipaEnergy/TulipaEnergyModel.jl#537 (and maybe TulipaEnergy/TulipaEnergyModel.jl#538)

[clizbe]

Probably belongs in TIO, but needs investigation.

[datejada]

Also consider #453 when tackling this issue