hydromt.data_catalog.sources.GeoDatasetSource#
- class hydromt.data_catalog.sources.GeoDatasetSource(*, name: str, uri: str, data_adapter: GeoDatasetAdapter = None, driver: GeoDatasetDriver, uri_resolver: URIResolver = None, root: str | None = None, version: str | int | float | None = None, provider: str | None = None, metadata: SourceMetadata = None)[source]#
DataSource class for the GeoDatasetSource type.
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.
self is explicitly positional-only to allow self as a field name.
- __init__(**data: Any) None #
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.
self is explicitly positional-only to allow self as a field name.
Methods
__init__
(**data)Create a new model by parsing and validating input data from keyword arguments.
construct
([_fields_set])copy
(*[, include, exclude, update, deep])Returns a copy of the model.
detect_bbox
([ds])Detect the bounding box and crs of the dataset.
detect_time_range
([ds])Detect the temporal range of the dataset.
dict
(*[, include, exclude, by_alias, ...])from_orm
(obj)get_bbox
([crs, detect])Return the bounding box and espg code of the dataset.
get_time_range
([detect])Detect the time range of the dataset.
json
(*[, include, exclude, by_alias, ...])model_construct
([_fields_set])Creates a new instance of the Model class with validated data.
model_copy
(*[, update, deep])Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
model_dump
(*[, mode, include, exclude, ...])Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
model_dump_json
(*[, indent, include, ...])Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json
model_json_schema
([by_alias, ref_template, ...])Generates a JSON schema for a model class.
model_parametrized_name
(params)Compute the class name for parametrizations of generic classes.
model_post_init
(context, /)We need to both initialize private attributes and call the user-defined model_post_init method.
model_rebuild
(*[, force, raise_errors, ...])Try to rebuild the pydantic-core schema for the model.
model_validate
(obj, *[, strict, ...])Validate a pydantic model instance.
model_validate_json
(json_data, *[, strict, ...])Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing
model_validate_strings
(obj, *[, strict, context])Validate the given object with string data against the Pydantic model.
parse_file
(path, *[, content_type, ...])parse_obj
(obj)parse_raw
(b, *[, content_type, encoding, ...])read_data
(*[, mask, predicate, variables, ...])Read data from this source.
schema
([by_alias, ref_template])schema_json
(*[, by_alias, ref_template])summary
()Return a summary of the DataSource.
to_file
(file_path, *[, driver_override, ...])Write the GeoDatasetSource to a local file.
to_stac_catalog
([handle_nodata])Convert a geodataset into a STAC Catalog representation.
update_forward_refs
(**localns)validate
(value)Attributes
data_type
full_uri
Join root with uri.
model_computed_fields
A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_config
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra
Get extra fields set during validation.
model_fields
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
model_fields_set
Returns the set of fields that have been explicitly set on this model instance.
driver
data_adapter
name
uri
uri_resolver
root
version
provider
metadata