TaskMetadata¶

class lsst.pipe.base.TaskMetadata(*, scalars: dict[str, pydantic.types.StrictFloat | pydantic.types.StrictInt | pydantic.types.StrictBool | pydantic.types.StrictStr] = None, arrays: dict[str, list[pydantic.types.StrictFloat] | list[pydantic.types.StrictInt] | list[pydantic.types.StrictBool] | list[pydantic.types.StrictStr]] = None, metadata: dict[str, 'TaskMetadata'] = None)¶

Bases: BaseModel

Dict-like object for storing task metadata.

Metadata can be stored at two levels: single task or task plus subtasks. The later is called full metadata of a task and has a form

topLevelTaskName:subtaskName:subsubtaskName.itemName

Metadata item key of a task (itemName above) must not contain , which serves as a separator in full metadata keys and turns the value into sub-dictionary. Arbitrary hierarchies are supported.

Methods Summary

`add`(name, value)	Store a new value, adding to a list if one already exists.
`construct`([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
`copy`(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
`dict`(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
`from_dict`(d)	Create a TaskMetadata from a dictionary.
`from_metadata`(ps)	Create a TaskMetadata from a PropertySet-like object.
`from_orm`(obj)
`get`(key[, default])	Retrieve the item associated with the key or a default.
`getArray`(key)	Retrieve an item as a list even if it is a scalar.
`getScalar`(key)	Retrieve a scalar item even if the item is a list.
`items`()	Yield the top-level keys and values.
`json`(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, `include` and `exclude` arguments as per `dict()`.
`keys`()	Return the top-level keys.
`names`([topLevelOnly])	Return the hierarchical keys from the metadata.
`paramNames`(topLevelOnly)	Return hierarchical names.
`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])
`to_dict`()	Convert the class to a simple dictionary.
`update_forward_refs`(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
`validate`(value)

Methods Documentation

add(name: str, value: Any) → None¶

Store a new value, adding to a list if one already exists.

Parameters:

namestr: Name of the metadata property.
value: Metadata property value.

classmethod construct(_fields_set: SetStr | None = None, **values: Any) → Model¶: Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters:

include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep – set to True to make a deep copy of the model

Returns:

new model instance

dict(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny¶: Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

classmethod from_dict(d: Mapping[str, Any]) → TaskMetadata¶

Create a TaskMetadata from a dictionary.

Parameters:

dMapping: Mapping to convert. Can be hierarchical. Any dictionaries in the hierarchy are converted to TaskMetadata.

Returns:

metaTaskMetadata: Newly-constructed metadata.

classmethod from_metadata(ps: PropertySetLike) → TaskMetadata¶

Create a TaskMetadata from a PropertySet-like object.

Parameters:

psPropertySetLike or TaskMetadata: A PropertySet-like object to be transformed to a TaskMetadata. A TaskMetadata can be copied using this class method.

Returns:

tmTaskMetadata: Newly-constructed metadata.

Notes

Items stored in single-element arrays in the supplied object will be converted to scalars in the newly-created object.

classmethod from_orm(obj: Any) → Model¶

get(key: str, default: Any | None = None) → Any¶

Retrieve the item associated with the key or a default.

Parameters:

keystr: The key to retrieve. Can be dot-separated hierarchical.
default: The value to return if the key doesnot exist.

Returns:

valueTaskMetadata, float, int, bool, str: A scalar value. If the key refers to an array, the final element is returned and not the array itself; this is consistent with __getitem__ and PropertySet.get, but not to_dict().get.

getArray(key: str) → list[Any]¶

Retrieve an item as a list even if it is a scalar.

Parameters:

keystr: Item to retrieve.

Returns:

valueslist of any: A list containing the value or values associated with this item.

Raises:

KeyError: Raised if the item is not found.

getScalar(key: str) → str | int | float | bool¶

Retrieve a scalar item even if the item is a list.

Parameters:

keystr: Item to retrieve.

Returns:

valuestr, int, float, or bool: Either the value associated with the key or, if the key corresponds to a list, the last item in the list.

Raises:

KeyError: Raised if the item is not found.

items() → Iterator[tuple[str, Any]]¶: Yield the top-level keys and values.

json(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode¶

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

keys() → tuple[str, ...]¶: Return the top-level keys.

names(topLevelOnly: bool = True) → set[str]¶

Return the hierarchical keys from the metadata.

Parameters:

topLevelOnlybool: If true, return top-level keys, otherwise full metadata item keys.

Returns:

namescollections.abc.Set: A set of top-level keys or full metadata item keys, including the top-level keys.

Notes

Should never be called in new code with topLevelOnly set to True – this is equivalent to asking for the keys and is the default when iterating through the task metadata. In this case a deprecation message will be issued and the ability will raise an exception in a future release.

When topLevelOnly is False all keys, including those from the hierarchy and the top-level hierarchy, are returned.

paramNames(topLevelOnly: bool) → set[str]¶

Return hierarchical names.

Parameters:

topLevelOnlybool: Control whether only top-level items are returned or items from the hierarchy.

Returns:

paramNamesset of str: If topLevelOnly is True, returns any keys that are not part of a hierarchy. If False also returns fully-qualified names from the hierarchy. Keys associated with the top of a hierarchy are never returned.

classmethod parse_file(path: str | Path, *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶

classmethod parse_obj(obj: Any) → Model¶

classmethod parse_raw(b: str | bytes, *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶

classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶

classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶

to_dict() → dict[str, Any]¶

Convert the class to a simple dictionary.

Returns:

ddict: Simple dictionary that can contain scalar values, array values or other dictionary values.

Notes

Unlike dict(), this method hides the model layout and combines scalars, arrays, and other metadata in the same dictionary. Can be used when a simple dictionary is needed. Use TaskMetadata.from_dict() to convert it back.

classmethod update_forward_refs(**localns: Any) → None¶: Try to update ForwardRefs on fields based on this Model, globalns and localns.

classmethod validate(value: Any) → Model¶

Navigation

TaskMetadata¶