SerializedDataCoordinate¶
- class lsst.daf.butler.SerializedDataCoordinate(*, dataId: dict[str, int | str | None], records: dict[str, lsst.daf.butler.dimensions._records.SerializedDimensionRecord] | None = None)¶
Bases:
BaseModel
Simplified model for serializing a
DataCoordinate
.Attributes Summary
Configuration for the model, should be a dictionary conforming to [
ConfigDict
][pydantic.config.ConfigDict].Metadata about the fields defined on the model, mapping of field names to [
FieldInfo
][pydantic.fields.FieldInfo].Methods Summary
direct
(*, dataId, records)Construct a
SerializedDataCoordinate
directly without validators.Attributes Documentation
- model_config: ClassVar[ConfigDict] = {}¶
Configuration for the model, should be a dictionary conforming to [
ConfigDict
][pydantic.config.ConfigDict].
- model_fields: ClassVar[dict[str, FieldInfo]] = {'dataId': FieldInfo(annotation=dict[str, Union[int, str, NoneType]], required=True), 'records': FieldInfo(annotation=Union[dict[str, SerializedDimensionRecord], NoneType], required=False)}¶
Metadata about the fields defined on the model, mapping of field names to [
FieldInfo
][pydantic.fields.FieldInfo].This replaces
Model.__fields__
from Pydantic V1.
Methods Documentation
- classmethod direct(*, dataId: dict[str, int | str | None], records: dict[str, dict] | None) SerializedDataCoordinate ¶
Construct a
SerializedDataCoordinate
directly without validators.Notes
This differs from the pydantic “construct” method in that the arguments are explicitly what the model requires, and it will recurse through members, constructing them from their corresponding
direct
methods.This method should only be called when the inputs are trusted.