---

source

WindMeta

 WindMeta (name:str='Wind',
           ts:datetime.timedelta=datetime.timedelta(microseconds=90909),
           mag_meta:space_analysis.ds.meta.Meta=Meta(dataset='WI_H2_MFI',
           parameters=['BGSE']), plasma_meta:space_analysis.ds.meta.Plasma
           Meta=PlasmaMeta(dataset='WI_PM_3DP', parameters=['P_DENS',
           'P_VELS', 'P_TEMP'], density_col=None, velocity_cols=None,
           speed_col=None, temperature_col=None, description='Wind 3dp,
           PESA LOW 1 spin resolution ion (proton and alpha) moments
           (computed on spacecraft)'), ion_temp_meta:space_analysis.ds.met
           a.TempMeta=TempMeta(dataset='WI_PLSP_3DP',
           parameters=['MOM.P.MAGT3'], para_col='proton_MagT3_Z',
           perp_cols=['proton_MagT3_X', 'proton_MagT3_Y']), e_temp_meta:sp
           ace_analysis.ds.meta.TempMeta=TempMeta(dataset='WI_ELM2_3DP',
           parameters=['MAGT3'], para_col='electron_MagT3_Para',
           perp_cols=['electron_MagT3_Perp1', 'electron_MagT3_Perp2']))

*Usage docs: https://docs.pydantic.dev/2.7/concepts/models/

A base class for creating Pydantic models.

Attributes: class_vars: The names of classvars defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The signature for instantiating the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a `RootModel`.
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_extra__: An instance attribute with the values of extra fields from validation when
    `model_config['extra'] == 'allow'`.
__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.
__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.*

---

source

WindConfig

 WindConfig (name:str='Wind',
             mag_data:polars.lazyframe.frame.LazyFrame=None,
             ts:datetime.timedelta=datetime.timedelta(microseconds=90909),
             tau:datetime.timedelta=None,
             events:polars.dataframe.frame.DataFrame=None,
             method:Literal['fit','derivative']='fit', mag_meta:space_anal
             ysis.ds.meta.Meta=Meta(dataset='WI_H2_MFI',
             parameters=['BGSE']), bcols:list[str]=None,
             plasma_data:polars.lazyframe.frame.LazyFrame=None, plasma_met
             a:space_analysis.ds.meta.PlasmaMeta=PlasmaMeta(dataset='WI_PM
             _3DP', parameters=['P_DENS', 'P_VELS', 'P_TEMP'],
             density_col=None, velocity_cols=None, speed_col=None,
             temperature_col=None, description='Wind 3dp, PESA LOW 1 spin
             resolution ion (proton and alpha) moments (computed on
             spacecraft)'),
             ion_temp_data:polars.lazyframe.frame.LazyFrame=None, ion_temp
             _meta:space_analysis.ds.meta.TempMeta=TempMeta(dataset='WI_PL
             SP_3DP', parameters=['MOM.P.MAGT3'],
             para_col='proton_MagT3_Z', perp_cols=['proton_MagT3_X',
             'proton_MagT3_Y']),
             e_temp_data:polars.lazyframe.frame.LazyFrame=None, e_temp_met
             a:space_analysis.ds.meta.TempMeta=TempMeta(dataset='WI_ELM2_3
             DP', parameters=['MAGT3'], para_col='electron_MagT3_Para',
             perp_cols=['electron_MagT3_Perp1', 'electron_MagT3_Perp2']),
             timerange:list[datetime.datetime]=None, split:int=1,
             fmt:str='arrow', provider:str='cda', **extra_data:Any)

Based on speasy Variables to get the data

config = WindConfig(
    tau=timedelta(minutes=1),
)
config.plasma_meta

PlasmaMeta(dataset='WI_PM_3DP', parameters=['P_DENS', 'P_VELS', 'P_TEMP'], density_col=None, velocity_cols=None, speed_col=None, temperature_col=None)