Source code for

from collections import UserDict
from typing import Dict

from import (
from import (
from import (


[docs]class LegacyUnprefixedDict(UserDict): """Track and provide access to prefixed and unprefixed tool parameter values.""" # It used to be valid to access members of conditionals without specifying the conditional. # This dict provides a fallback when dict lookup fails using those old rules
[docs] def __init__(self, dict=None, **kwargs): self._legacy_mapping: Dict[str, str] = {} super().__init__(dict, **kwargs)
[docs] def set_legacy_alias(self, new_key: str, old_key: str): self._legacy_mapping[old_key] = new_key
def __getitem__(self, key): if key not in and key in self._legacy_mapping: return super().__getitem__(self._legacy_mapping[key]) return super().__getitem__(key) def __contains__(self, key: object) -> bool: if super().__contains__(key): return True return key in self._legacy_mapping
def copy_identifiers(source, destination): if isinstance(source, dict): for k, v in source.items(): if k.endswith("|__identifier__"): if isinstance(destination, dict): destination[k] = v
[docs]class WrappedParameters:
[docs] def __init__(self, trans, tool, incoming, input_datasets=None): self.trans = trans self.tool = tool self.incoming = incoming self._params = PARAMS_UNWRAPPED self._input_datasets = input_datasets
@property def params(self): if self._params is PARAMS_UNWRAPPED: params = make_dict_copy(self.incoming) self.wrap_values(self.tool.inputs, params, skip_missing_values=not self.tool.check_values) self._params = params return self._params
[docs] def wrap_values(self, inputs, input_values, skip_missing_values=False): trans = self.trans tool = self.tool incoming = self.incoming element_identifier_mapper = ElementIdentifierMapper(self._input_datasets) # Wrap tool inputs as necessary for input in inputs.values(): if not in input_values and skip_missing_values: continue value = input_values[] copy_identifiers(destination=value, source=input_values) if isinstance(input, Repeat): for d in value: copy_identifiers(destination=d, source=value) self.wrap_values(input.inputs, d, skip_missing_values=skip_missing_values) elif isinstance(input, Conditional): values = value current = values["__current_case__"] self.wrap_values(input.cases[current].inputs, values, skip_missing_values=skip_missing_values) elif isinstance(input, Section): values = value self.wrap_values(input.inputs, values, skip_missing_values=skip_missing_values) elif isinstance(input, DataToolParameter) and input.multiple: dataset_instances = DatasetListWrapper.to_dataset_instances(value) input_values[] = DatasetListWrapper( None, dataset_instances,, tool=tool,, formats=input.formats, ) elif isinstance(input, DataToolParameter): wrapper_kwds = dict(, tool=tool,, formats=input.formats ) element_identifier = element_identifier_mapper.identifier(value, input_values) if element_identifier: wrapper_kwds["identifier"] = element_identifier input_values[] = DatasetFilenameWrapper(value, **wrapper_kwds) elif isinstance(input, SelectToolParameter): input_values[] = SelectToolParameterWrapper(input, value, other_values=incoming) elif isinstance(input, DataCollectionToolParameter): input_values[] = DatasetCollectionWrapper( None, value,, tool=tool,, ) else: input_values[] = InputValueWrapper(input, value, incoming, tool.profile)
[docs]def make_dict_copy(from_dict): """ Makes a copy of input dictionary from_dict such that all values that are dictionaries result in creation of a new dictionary ( a sort of deepcopy ). We may need to handle other complex types ( e.g., lists, etc ), but not sure... Yes, we need to handle lists (and now are)... """ copy_from_dict = {} for key, value in from_dict.items(): if type(value).__name__ == "dict": copy_from_dict[key] = make_dict_copy(value) elif isinstance(value, list): copy_from_dict[key] = make_list_copy(value) else: copy_from_dict[key] = value return copy_from_dict
def make_list_copy(from_list): new_list = [] for value in from_list: if isinstance(value, dict): new_list.append(make_dict_copy(value)) elif isinstance(value, list): new_list.append(make_list_copy(value)) else: new_list.append(value) return new_list __all__ = ("LegacyUnprefixedDict", "WrappedParameters", "make_dict_copy")