scistag.filestag.bundle.BundleInfo¶
- class BundleInfo(**data)[source]¶
Bases:
BaseModelDefines the bundle information
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Methods
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Duplicate a model, optionally choose which fields to include, exclude and change.
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_orm- rtype
Model
Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file- rtype
Model
parse_obj- rtype
Model
parse_raw- rtype
Model
schema- rtype
DictStrAny
schema_json- rtype
unicode
Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate- rtype
Model
Attributes
__abstractmethods____annotations____class_vars____custom_root_type____dict____doc____exclude_fields____fields____fields_set____hash____include_fields____module____post_root_validators____pre_root_validators____private_attributes____schema_cache____signature____slots____validators___abc_implThe list of keys in their original order
The source type
The advanced elements and their descriptor
The simple elements which can make use of direct key value storage
The protocol version
Defines if the elements of the first level e.g.
- __setattr__(name, value)¶
Implement setattr(self, name, value).
- classmethod construct(_fields_set=None, **values)¶
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
- Return type
Model
- copy(*, include=None, exclude=None, update=None, deep=False)¶
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters
include (
Union[AbstractSetIntStr, MappingIntStrAny,None]) – fields to include in new modelexclude (
Union[AbstractSetIntStr, MappingIntStrAny,None]) – fields to exclude from new model, as with values this takes precedence over includeupdate (
Optional[DictStrAny]) – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this datadeep (
bool) – set to True to make a deep copy of the model
- Return type
Model
- Returns
new model instance
- dict(*, include=None, exclude=None, by_alias=False, skip_defaults=None, exclude_unset=False, exclude_defaults=False, exclude_none=False)¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Return type
DictStrAny
- json(*, include=None, exclude=None, by_alias=False, skip_defaults=None, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=None, models_as_dict=True, **dumps_kwargs)¶
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().
- Return type
unicode
- classmethod update_forward_refs(**localns)¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
- Return type
- adv_elements: dict[str, scistag.filestag.bundle.BundleElementInfo]¶
The advanced elements and their descriptor
- recursive¶
Defines if the elements of the first level e.g. dictionaries and lists may contain further, bundled advanced types such as np.arrays.