TaskMetadata¶
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class lsst.pipe.base.TaskMetadata¶
- Bases: - pydantic.main.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 ( - itemNameabove) must not contain- , which serves as a separator in full metadata keys and turns the value into sub-dictionary. Arbitrary hierarchies are supported.- Deprecated methods are for compatibility with the predecessor containers. - Attributes Summary - copy- Duplicate a model, optionally choose which fields to include, exclude and change. - dict- Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. - json- Generate a JSON representation of the model, - includeand- excludearguments as per- dict().- Methods Summary - add(name, value)- Store a new value, adding to a list if one already exists. - construct(_fields_set, **values)- Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. - from_dict(d, Any])- Create a TaskMetadata from a dictionary. - from_metadata(ps)- Create a TaskMetadata from a PropertySet-like object. - from_orm(obj)- getArray(key)- Retrieve an item as a list even if it is a scalar. - getAsDouble(key)- Return the value cast to a - float.- getScalar(key)- Retrieve a scalar item even if the item is a list. - items()- Yield the top-level keys and values. - keys()- Return the top-level keys. - names(topLevelOnly)- Return the hierarchical keys from the metadata. - paramNames(topLevelOnly)- Return hierarchical names. - parse_file(path, pathlib.Path], *, …)- parse_obj(obj)- parse_raw(b, bytes], *, content_type, …)- remove(key)- Remove the item without raising if absent. - schema(by_alias, ref_template)- schema_json(*, by_alias, ref_template, …)- set(key, item)- Set the value of the supplied key. - 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)- Attributes Documentation - 
copy¶
- 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 Trueto make a deep copy of the model
 - Returns: - new model instance 
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dict¶
- Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. 
 - 
json¶
- Generate a JSON representation of the model, - includeand- excludearguments as per- dict().- encoderis an optional function to supply as- defaultto json.dumps(), other arguments as per- json.dumps().
 - Methods Documentation - 
add(name, value)¶
- Store a new value, adding to a list if one already exists. - Parameters: - name : str
- Name of the metadata property. 
- value
- Metadata property value. 
 
- name : 
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classmethod construct(_fields_set: Optional[SetStr] = None, **values) → 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
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classmethod from_dict(d: Mapping[str, Any]) → lsst.pipe.base._task_metadata.TaskMetadata¶
- Create a TaskMetadata from a dictionary. - Parameters: - d : Mapping
- Mapping to convert. Can be hierarchical. Any dictionaries in the hierarchy are converted to - TaskMetadata.
 - Returns: - meta : TaskMetadata
- Newly-constructed metadata. 
 
- d : 
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classmethod from_metadata(ps: lsst.pipe.base._task_metadata.PropertySetLike) → lsst.pipe.base._task_metadata.TaskMetadata¶
- Create a TaskMetadata from a PropertySet-like object. - Parameters: - ps : PropertySetLikeorTaskMetadata
- A - PropertySet-like object to be transformed to a- TaskMetadata. A- TaskMetadatacan be copied using this class method.
 - Returns: - tm : TaskMetadata
- Newly-constructed metadata. 
 - Notes - Items stored in single-element arrays in the supplied object will be converted to scalars in the newly-created object. 
- ps : 
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classmethod from_orm(obj: Any) → Model¶
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getArray(key)¶
- Retrieve an item as a list even if it is a scalar. - Parameters: - key : str
- Item to retrieve. 
 - Returns: - values : listof any
- A list containing the value or values associated with this item. 
 - Raises: - KeyError
- Raised if the item is not found. 
 
- key : 
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getAsDouble(key)¶
- Return the value cast to a - float.- Parameters: - key : str
- Item to return. Can be dot-separated hierarchical. 
 - Returns: - Raises: - KeyError
- Raised if the item is not found. 
- .. deprecated:: v24
- Cast the return value to float explicitly. Will be removed after v25. 
 
- key : 
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getScalar(key)¶
- Retrieve a scalar item even if the item is a list. - Parameters: - key : str
- Item to retrieve. 
 - Returns: - value : Any
- 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. 
 
- key : 
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items()¶
- Yield the top-level keys and values. 
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keys()¶
- Return the top-level keys. 
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names(topLevelOnly: bool = True)¶
- Return the hierarchical keys from the metadata. - Parameters: - topLevelOnly : bool
- If true, return top-level keys, otherwise full metadata item keys. 
 - Returns: - names : collection.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 - topLevelOnlyset 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 - topLevelOnlyis- Falseall keys, including those from the hierarchy and the top-level hierarchy, are returned.
- topLevelOnly : 
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paramNames(topLevelOnly)¶
- Return hierarchical names. - Parameters: - topLevelOnly : bool
- Control whether only top-level items are returned or items from the hierarchy. 
 - Returns: 
- topLevelOnly : 
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classmethod parse_file(path: Union[str, pathlib.Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: pydantic.parse.Protocol = None, allow_pickle: bool = False) → Model¶
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classmethod parse_obj(obj: Any) → Model¶
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classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: pydantic.parse.Protocol = None, allow_pickle: bool = False) → Model¶
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remove(key)¶
- Remove the item without raising if absent. - Deprecated since version v24: Use standard del dict syntax. Will be removed after v25. 
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classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
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classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs) → unicode¶
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set(key, item)¶
- Set the value of the supplied key. - Deprecated since version v24: Use standard assignment syntax. Will be removed after v25. 
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to_dict() → Dict[str, Any]¶
- Convert the class to a simple dictionary. - Returns: - d : dict
- 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.
- d : 
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classmethod update_forward_refs(**localns) → None¶
- Try to update ForwardRefs on fields based on this Model, globalns and localns. 
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classmethod validate(value: Any) → Model¶
 
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