ENH: Add pydantic meta schema

[janbjorge]

Addresses #423

This PR is does not change any logic, it just adds a Pydantic model to the repository. There a few convenience tools as well, that i used while dev. the pydantic model.

[janbjorge]

In its current state it fully runs boom.py without any validation errors.

A few assumtions has been made in order to attempt to clean up the schema abit:

• None / Null is interpreted as falsy. If the the annotation is Optional[bool] this will be converted to bool, with default false. The same approach can be done for lists. Where an Optional[list] will default to an empty list removing the need for an optional
• For ints and floats the default will be zero. This might not be correct for all fields, but i think for a few of them it makes perfect sense. Ex. ncol.

[perolavsvendsen]

• Verify Pydantic version with Komodo and RMS environments. We think this should be OK.
• Existing tests should pass with new schema.
• Tests should be expanded if coverage is too poor. Scope for this PR??
• Existing data should validate on the new schema. Scope for this PR??
• Add more elaborate docstrings on the data classes, for documentation (combine with checking Sphinx capabilities to avoid double work). Later PR, not scope.
• Check which "volume" variants in the content list that are actually discontinued.
• Need to be more specific on some of the numerical inputs, e.g. cannot have negative number of layers etc. Later PR, not scope.
• Build the schema to the Radix app. Later PR, not scope.

[perolavsvendsen]

This is only adding functionality - should not have any negative impact on existing usage.

Consider comments.

Very nice start on significant improvement 🚀

[perolavsvendsen]

May cause confusion when the word "model" hits the namespace in a context where this word has lots of meanings. Possible to use "datamodels"?

[perolavsvendsen]

"datastructure" or "datastructures"? Ref discussion

[janbjorge]

From review, rename modeles folder to datastructure

[jcrivenaes]

🚀

[janbjorge]

Followups:

• It seems that SUMO will add timezone if not given, leads to unnecessary union of aware and naive datetime (se code comments).
• RealizationJobs is to strict, or sumo is lacking information in old cases. Needs followup.

python3 tools/sumo-explorer-model-validate.py
Traceback (most recent call last):
  File "/Users/JLOV/src/fmu-dataio/tools/sumo-explorer-model-validate.py", line 53, in <module>
    parsed = Root.model_validate(m)
  File "/Users/JLOV/.pyenv/versions/dataio/lib/python3.10/site-packages/pydantic/main.py", line 503, in model_validate
    return cls.__pydantic_validator__.validate_python(
pydantic_core._pydantic_core.ValidationError: 16 validation errors for Root
cube.fmu.realization.jobs.ert_pid
  Field required [type=missing, input_value={'umask': '0002', 'DATA_R...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.global_environment
  Field required [type=missing, input_value={'umask': '0002', 'DATA_R...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.arg_types
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.argList
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.error_file
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.executable
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.license_path
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.max_arg
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.max_running_minutes
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.max_running
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.start_file
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.stderr
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.stdin
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.stdout
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.jobList.0.target_file
  Field required [type=missing, input_value={'min_arg': 1, 'name': 'M...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing
cube.fmu.realization.jobs.run_id
  Field required [type=missing, input_value={'umask': '0002', 'DATA_R...'anything': 'something'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.5/v/missing