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Complete update to the Python script #13

@DLBPointon

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@DLBPointon

This will act as the cherry on top.

  • The Script will be used both in and out of the DB container
  • The Script must be usable in 4 modes (although Co2 addition will be a stretch goal based on how quickly we move through the project, still very much a very nice to have):
    • Execution log only
    • Execution + TV (context data)
    • Execution + Co2
    • Execution + Co2 + TV
  • Be able to call the database and generate a base.config (maybe difficult depending on the number of variables at play, and may only be possible if using a ML method which can be output as an equation).
  • Be able to also query the database to observe changes in efficiency over time
  • Continue to generate the graphs already produced, investigate more useful ones

This will probably require a number of flags to be added to the script so we will also need some substantial docs, these will need to cover updating ML model on there own data

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