feat: Adapting flex-config to SensorsToShowSchema

[joshuaunity]

Description

This PR adopts a new shape for our SensorsToShowSchema, and also includes the adaptation of the flex-config into the schema as well.

TODO

• Add changelog entry
• Allow backwards compatibility for data with the old schema structure
• Implement new schema structure to allow sensor or sensors, as well as assets' flex-config to be added to plots
• Update all existing sensorToShowSchema test cases with the new expectations

Look & Feel

None

How to test

This new feature can only be interacted with through the API for now.

1. Pick any asset(make sure it has sensors you can reference)
2. Go to the API http://localhost:5000/api/v3_0/assets/<asset_id>
3. Update the asset's sensor_to_show with the below data

NOTE: for the below, use sensors that are under the current asset being updated

[
  {
    "title": "No Title",
    "sensors": [
      <sensor_id>
    ]
  },
  {
    "title": "No Title 2",
    "plots": [
   
      {
        "asset": <asset_id>,
        "flex-model": "soc-min"
      },
      {
        "sensors": [
          <sensor_id>,
          <sensor_id>
        ]
      }
    ]

  }
]

Further Improvements

Support for the addition of fixed values as plot entries.

Related Items

This PR closes #1880

Sign-off

• I agree to contribute to the project under Apache 2 License.
• To the best of my knowledge, the proposed patch is not based on code under GPL or other license that is incompatible with FlexMeasures

[read-the-docs-community]

Documentation build overview

📚 flexmeasures | 🛠️ Build #31072172 | 📁 Comparing 6fd81be against latest (92d4027)

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Show files changed (7 files in total): 📝 7 modified | ➕ 0 added | ➖ 0 deleted

File	Status
changelog.html	📝 modified
genindex.html	📝 modified
_autosummary/flexmeasures.data.schemas.generic_assets.html	📝 modified
_autosummary/flexmeasures.data.schemas.utils.html	📝 modified
_autosummary/flexmeasures.utils.coding_utils.html	📝 modified
_autosummary/flexmeasures.utils.html	📝 modified
api/v3_0.html	📝 modified