Source code for mp_api.client.routes.materials.similarity

from __future__ import annotations

from emmet.core.similarity import SimilarityDoc

from mp_api.client.core import BaseRester
from mp_api.client.core.utils import validate_ids


[docs] class SimilarityRester(BaseRester[SimilarityDoc]): suffix = "materials/similarity" document_model = SimilarityDoc # type: ignore primary_key = "material_id"
[docs] def search( self, material_ids: str | list[str] | None = None, num_chunks: int | None = None, chunk_size: int = 1000, all_fields: bool = True, fields: list[str] | None = None, ) -> list[SimilarityDoc] | list[dict]: """Query similarity docs using a variety of search criteria. Arguments: material_ids (str, List[str]): A single Material ID string or list of strings (e.g., mp-149, [mp-149, mp-13]). num_chunks (int): Maximum number of chunks of data to yield. None will yield all possible. chunk_size (int): Number of data entries per chunk. all_fields (bool): Whether to return all fields in the document. Defaults to True. fields (List[str]): List of fields in SimilarityDoc to return data for. Default is material_id, last_updated, and formula_pretty if all_fields is False. Returns: ([SimilarityDoc], [dict]) List of similarity documents or dictionaries. """ query_params = {} # type: dict if material_ids: if isinstance(material_ids, str): material_ids = [material_ids] query_params.update({"material_ids": ",".join(validate_ids(material_ids))}) query_params = { entry: query_params[entry] for entry in query_params if query_params[entry] is not None } return super()._search( num_chunks=num_chunks, chunk_size=chunk_size, all_fields=all_fields, fields=fields, **query_params, )