Source code for pydelfini.delfini_core.models.search_collections_response
from typing import Any
from typing import Dict
from typing import List
from typing import Type
from typing import TypeVar
from attrs import define as _attrs_define
from ..models.pagination import Pagination
from ..models.search_collections_response_hits_item import (
SearchCollectionsResponseHitsItem,
)
from ..models.termset import Termset
T = TypeVar("T", bound="SearchCollectionsResponse")
[docs]
@_attrs_define
class SearchCollectionsResponse:
"""SearchCollectionsResponse model
Attributes:
hits (List['SearchCollectionsResponseHitsItem']):
metadata_terms (Termset):
pagination (Pagination):
search_terms (Termset):
"""
hits: List["SearchCollectionsResponseHitsItem"]
metadata_terms: "Termset"
pagination: "Pagination"
search_terms: "Termset"
[docs]
def to_dict(self) -> Dict[str, Any]:
"""Convert to a dict"""
hits = []
for hits_item_data in self.hits:
hits_item = hits_item_data.to_dict()
hits.append(hits_item)
metadata_terms = self.metadata_terms.to_dict()
pagination = self.pagination.to_dict()
search_terms = self.search_terms.to_dict()
field_dict: Dict[str, Any] = {}
field_dict.update(
{
"hits": hits,
"metadataTerms": metadata_terms,
"pagination": pagination,
"searchTerms": search_terms,
}
)
return field_dict
[docs]
@classmethod
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
"""Create an instance of :py:class:`SearchCollectionsResponse` from a dict"""
d = src_dict.copy()
hits = []
_hits = d.pop("hits")
for hits_item_data in _hits:
hits_item = SearchCollectionsResponseHitsItem.from_dict(hits_item_data)
hits.append(hits_item)
metadata_terms = Termset.from_dict(d.pop("metadataTerms"))
pagination = Pagination.from_dict(d.pop("pagination"))
search_terms = Termset.from_dict(d.pop("searchTerms"))
search_collections_response = cls(
hits=hits,
metadata_terms=metadata_terms,
pagination=pagination,
search_terms=search_terms,
)
return search_collections_response