Dataset Config¶

pydantic model dsgrid.config.dataset_config.DatasetConfigModel[source]¶

Represents dataset configurations.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.

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Represents dataset configurations.
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Base data model for all dsgrid data models
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Base data model for all dsgrid data models
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Base data model for all dsgrid data models
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Base data model for all dsgrid data models
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Defines an annual time dimension where timestamps are years.
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Defines a time dimension where timestamps translate to datetime objects.&#\
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Defines a non-time dimension
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Reference to a dimension stored in the registry
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Defines a NoOp time dimension.
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Defines a representative time dimension.
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Base data model for all dsgrid data models
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Base data model for all dsgrid data models
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Defines a continuous range of time.
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Defines a continuous range of time.
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}

Fields:

data_classification (dsgrid.config.dataset_config.DataClassificationType)
data_schema (dsgrid.config.dataset_config.StandardDataSchemaModel | dsgrid.config.dataset_config.OneTableDataSchemaModel)
data_source (str)
dataset_id (str)
dataset_qualifier_metadata (dsgrid.config.dataset_config.QuantityModel | dsgrid.config.dataset_config.GrowthRateModel | None)
dataset_type (dsgrid.config.dataset_config.InputDatasetType)
dataset_version (str | None)
description (str)
dimension_references (List[dsgrid.config.dimensions.DimensionReferenceModel])
dimensions (List[dsgrid.config.dimensions.DimensionModel | dsgrid.config.dimensions.DateTimeDimensionModel | dsgrid.config.dimensions.AnnualTimeDimensionModel | dsgrid.config.dimensions.RepresentativePeriodTimeDimensionModel | dsgrid.config.dimensions.NoOpTimeDimensionModel])
enable_unit_conversion (bool)
id (str | None)
key (str | None)
origin_contributors (List[str])
origin_creator (str)
origin_date (str)
origin_organization (str)
origin_project (str)
origin_version (str)
rev (str | None)
sector_description (str | None)
source (str)
tags (List[str])
trivial_dimensions (List[dsgrid.dimension.base_models.DimensionType] | None)
use_project_geography_time_zone (bool)
user_defined_metadata (Dict)
version (str | None)

Validators:

check_dataset_id » dataset_id
check_files » dimensions
check_names » dimensions
check_time_not_trivial » trivial_dimensions
check_time_zone » all fields
handle_legacy_fields » all fields

field data_classification: DataClassificationType [Required]¶

Data security classification (e.g., low, moderate, high)

Validated by:

check_time_zone
handle_legacy_fields

field data_schema: StandardDataSchemaModel | OneTableDataSchemaModel [Required]¶

Schema (table layouts) used for writing out the dataset

Validated by:

check_time_zone
handle_legacy_fields

field data_source: str [Required]¶

Data source name, e.g. ‘ComStock’.

Validated by:

check_time_zone
handle_legacy_fields

field dataset_id: str [Required]¶

Unique dataset identifier.

Validated by:

check_dataset_id
check_time_zone
handle_legacy_fields

field dataset_qualifier_metadata: QuantityModel | GrowthRateModel | None = QuantityModel(dataset_qualifier_type=<DatasetQualifierType.QUANTITY: 'quantity'>)¶

Additional metadata to include related to the dataset_qualifier

Validated by:

check_time_zone
handle_legacy_fields

field dataset_type: InputDatasetType [Required]¶

Input dataset type.

Validated by:

check_time_zone
handle_legacy_fields

field dataset_version: str | None = None¶

The version of the dataset.

Validated by:

check_time_zone
handle_legacy_fields

field description: str [Required]¶

A detailed description of the dataset.

Validated by:

check_time_zone
handle_legacy_fields

field dimension_references: List[DimensionReferenceModel] = []¶

List of registered dimension references that make up the dimensions of dataset.

Validated by:

check_time_zone
handle_legacy_fields

field dimensions: List[DimensionModel | DateTimeDimensionModel | AnnualTimeDimensionModel | RepresentativePeriodTimeDimensionModel | NoOpTimeDimensionModel] = []¶

List of dimensions that make up the dimensions of dataset. They will be automatically registered during dataset registration and then converted to dimension_references.

Constraints:

func = <function handle_dimension_union at 0x7ff05b0d9ea0>

Validated by:

check_files
check_names
check_time_zone
handle_legacy_fields

field enable_unit_conversion: bool = True¶

If the dataset uses its dimension mapping for the metric dimension to also perform unit conversion, then this value should be false.

Validated by:

check_time_zone
handle_legacy_fields

field id: str | None = None (alias '_id')¶

Registry database ID

Validated by:

check_time_zone
handle_legacy_fields

field key: str | None = None (alias '_key')¶

Registry database key

Validated by:

check_time_zone
handle_legacy_fields

field origin_contributors: List[str] = []¶

List of origin data contributor’s first and last names e.g., [“Harry Potter”, “Ronald Weasley”]

Validated by:

check_time_zone
handle_legacy_fields

field origin_creator: str [Required]¶

Origin data creator’s name (first and last)

Validated by:

check_time_zone
handle_legacy_fields

field origin_date: str [Required]¶

Date the source data was generated

Validated by:

check_time_zone
handle_legacy_fields

field origin_organization: str [Required]¶

Origin organization name, e.g., NREL

Validated by:

check_time_zone
handle_legacy_fields

field origin_project: str [Required]¶

Origin project name

Validated by:

check_time_zone
handle_legacy_fields

field origin_version: str [Required]¶

Version of the origin data

Validated by:

check_time_zone
handle_legacy_fields

field rev: str | None = None (alias '_rev')¶

Registry database revision

Validated by:

check_time_zone
handle_legacy_fields

field sector_description: str | None = None¶

Sectoral description (e.g., residential, commercial, industrial, transportation, electricity)

Validated by:

check_time_zone
handle_legacy_fields

field source: str [Required]¶

Source of the data (text description or link)

Validated by:

check_time_zone
handle_legacy_fields

field tags: List[str] = []¶

List of data tags

Validated by:

check_time_zone
handle_legacy_fields

field trivial_dimensions: List[DimensionType] | None = []¶

List of trivial dimensions (i.e., 1-element dimensions) that do not exist in the load_data_lookup. List the dimensions by dimension type.

Validated by:

check_time_not_trivial
check_time_zone
handle_legacy_fields

field use_project_geography_time_zone: bool = False¶

If true, time zones will be applied from the project’s geography dimension. If false, the dataset’s geography dimension records must provide a time zone column.

Validated by:

check_time_zone
handle_legacy_fields

field user_defined_metadata: Dict = {}¶

Additional user defined metadata fields

Validated by:

check_time_zone
handle_legacy_fields

field version: str | None = None¶

Version, generated by dsgrid

Validated by:

check_time_zone
handle_legacy_fields

validator check_dataset_id » dataset_id[source]¶: Check dataset ID validity

validator check_files » dimensions[source]¶: Validate dimension files are unique across all dimensions

validator check_names » dimensions[source]¶: Validate dimension names are unique across all dimensions.

validator check_time_not_trivial » trivial_dimensions[source]¶

validator check_time_zone » all fields[source]¶: Validate whether required time zone information is present.

validator handle_legacy_fields » all fields[source]¶