libera_utils.io.umm_g.UMMGDatasetTransformer

class libera_utils.io.umm_g.UMMGDatasetTransformer(input_dataset: Dataset, log_warnings: bool = False)

Bases: object

CLass containing methods to go from an input dataset to UMMGranule objects.

Methods

extract_access_constraints()	Extract access constraints from dataset attributes.
extract_additional_attributes()	Extract additional attributes from dataset attributes.
extract_cloud_cover()	Extract cloud cover percentage from dataset attributes.
extract_collection_reference()	Extract collection reference from dataset attributes.
extract_data_granule([filepath])	Extract data granule information from dataset attributes.
extract_granule_ur()	Extract GranuleUR from dataset attributes.
extract_grid_mapping_names()	Extract grid mapping names from dataset attributes.
extract_input_granules()	Extract input granules from dataset attributes.
extract_measured_parameters()	Extract measured parameters from dataset variables.
extract_native_projection_names()	Extract native projection names from dataset attributes.
extract_orbit_calculated_spatial_domains()	Extract orbit calculated spatial domains from dataset attributes.
extract_pge_version_class()	Extract PGE version information from dataset attributes.
extract_platforms()	Extract platform information from dataset attributes.
extract_projects()	Extract project information from dataset attributes.
extract_provider_dates()	Extract provider dates from dataset attributes.
extract_related_urls()	Extract related URLs from dataset attributes.
extract_spatial_extent()	Extract spatial extent from dataset attributes.
extract_temporal_extent()	Extract temporal extent from dataset attributes.
extract_tiling_identification_system()	Extract tiling identification system from dataset attributes.

__init__(input_dataset: Dataset, log_warnings: bool = False)

Create the transformer object from input_dataset.

The UMM granule is stored in the attribute umm_granule.

Parameters:

• input_dataset (xr.Dataset) – The input dataset read from a netCDF file to convert into a UMMGranule object.

• log_warnings (bool) – Indicates whether warnings while extracting values from the dataset should be logged out, or only stored in the “warnings” attribute. Note that this does not affect validation warnings or errors, only warnings from the transformation step within the class.

Methods

extract_access_constraints()	Extract access constraints from dataset attributes.
extract_additional_attributes()	Extract additional attributes from dataset attributes.
extract_cloud_cover()	Extract cloud cover percentage from dataset attributes.
extract_collection_reference()	Extract collection reference from dataset attributes.
extract_data_granule([filepath])	Extract data granule information from dataset attributes.
extract_granule_ur()	Extract GranuleUR from dataset attributes.
extract_grid_mapping_names()	Extract grid mapping names from dataset attributes.
extract_input_granules()	Extract input granules from dataset attributes.
extract_measured_parameters()	Extract measured parameters from dataset variables.
extract_native_projection_names()	Extract native projection names from dataset attributes.
extract_orbit_calculated_spatial_domains()	Extract orbit calculated spatial domains from dataset attributes.
extract_pge_version_class()	Extract PGE version information from dataset attributes.
extract_platforms()	Extract platform information from dataset attributes.
extract_projects()	Extract project information from dataset attributes.
extract_provider_dates()	Extract provider dates from dataset attributes.
extract_related_urls()	Extract related URLs from dataset attributes.
extract_spatial_extent()	Extract spatial extent from dataset attributes.
extract_temporal_extent()	Extract temporal extent from dataset attributes.
extract_tiling_identification_system()	Extract tiling identification system from dataset attributes.

_to_umm_granule(filepath: str | None = None) → UMMGranule

Build complete UMM-G granule from dataset.

extract_access_constraints() → AccessConstraintsType | None

Extract access constraints from dataset attributes.

extract_additional_attributes() → list[AdditionalAttributeType] | None

Extract additional attributes from dataset attributes.

extract_cloud_cover() → float | None

Extract cloud cover percentage from dataset attributes.

extract_collection_reference() → CollectionReferenceType

Extract collection reference from dataset attributes.

extract_data_granule(filepath: str | None = None) → DataGranuleType | None

Extract data granule information from dataset attributes.

extract_granule_ur() → str

Extract GranuleUR from dataset attributes.

extract_grid_mapping_names() → list[str] | None

Extract grid mapping names from dataset attributes.

extract_input_granules() → list[str] | None

Extract input granules from dataset attributes.

extract_measured_parameters() → list[MeasuredParameterType] | None

Extract measured parameters from dataset variables.

extract_native_projection_names() → list[ProjectionNameEnum] | None

Extract native projection names from dataset attributes.

extract_orbit_calculated_spatial_domains() → list[OrbitCalculatedSpatialDomainType] | None

Extract orbit calculated spatial domains from dataset attributes.

extract_pge_version_class() → PGEVersionClassType | None

Extract PGE version information from dataset attributes.

extract_platforms() → list[PlatformType] | None

Extract platform information from dataset attributes.

extract_projects() → list[ProjectType] | None

Extract project information from dataset attributes.

extract_provider_dates() → list[ProviderDateType]

Extract provider dates from dataset attributes.

extract_related_urls() → list[RelatedUrlType] | None

Extract related URLs from dataset attributes.

extract_spatial_extent() → SpatialExtentType | None

Extract spatial extent from dataset attributes.

extract_temporal_extent() → TemporalExtentType | None

Extract temporal extent from dataset attributes.

extract_tiling_identification_system() → TilingIdentificationSystemType | None

Extract tiling identification system from dataset attributes.