SpatialDomain

class rojak.orchestrator.configuration.SpatialDomain(*, minimum_latitude=-90, maximum_latitude=90, minimum_longitude=-180, maximum_longitude=180, minimum_level=None, maximum_level=None, grid_size=None)

A rectangular (and optionally vertically-bounded) geographic domain to restrict data to

Parameters:

• minimum_latitude (Annotated[float, Ge(ge=-90), Le(le=90)])

• maximum_latitude (Annotated[float, Ge(ge=-90), Le(le=90)])

• minimum_longitude (Annotated[float, Ge(ge=-180), Le(le=180)])

• maximum_longitude (Annotated[float, Ge(ge=-180), Le(le=180)])

• minimum_level (float | None)

• maximum_level (float | None)

• grid_size (float | None)

__init__(**data)

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.

Parameters:

data (Any)

Return type:

None

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
central_latitude([use_int_division])	Midpoint latitude of the domain
central_longitude([use_int_division])	Midpoint longitude of the domain
check_valid_ranges()	Validate that the latitude/longitude/level bounds are well-formed (non-empty, minimum below maximum)
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
from_yaml(path)	Load and validate an instance of this model from a YAML file
json(*[, include, exclude, by_alias, ...])
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
model_dump(*[, mode, include, exclude, ...])	!!! abstract "Usage Documentation"
model_dump_json(*[, indent, ensure_ascii, ...])	!!! abstract "Usage Documentation"
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, /)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, extra, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	!!! abstract "Usage Documentation"
model_validate_strings(obj, *[, strict, ...])	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, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
use_hemisphere_projection()	Whether this domain is better suited to a polar/hemisphere map projection than a global one
validate(value)

Attributes

model_computed_fields
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
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
minimum_latitude
maximum_latitude
minimum_longitude
maximum_longitude
minimum_level
maximum_level
grid_size