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

from __future__ import annotations

from collections import defaultdict

from emmet.core.surface_properties import SurfacePropDoc

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


[docs] class SurfacePropertiesRester(BaseRester[SurfacePropDoc]): suffix = "materials/surface_properties" document_model = SurfacePropDoc # type: ignore primary_key = "material_id"
[docs] def search( self, material_ids: str | list[str] | None = None, has_reconstructed: bool | None = None, shape_factor: tuple[float, float] | None = None, surface_energy_anisotropy: tuple[float, float] | None = None, weighted_surface_energy: tuple[float, float] | None = None, weighted_work_function: tuple[float, float] | None = None, num_chunks: int | None = None, chunk_size: int = 1000, all_fields: bool = True, fields: list[str] | None = None, ) -> list[SurfacePropDoc] | list[dict]: """Query surface properties 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]). has_reconstructed (bool): Whether the entry has any reconstructed surfaces. shape_factor (Tuple[float,float]): Minimum and maximum shape factor values to consider. surface_energy_anisotropy (Tuple[float,float]): Minimum and maximum surface energy anisotropy values to consider. weighted_surface_energy (Tuple[float,float]): Minimum and maximum weighted surface energy in J/m² to consider. weighted_work_function (Tuple[float,float]): Minimum and maximum weighted work function in eV to consider. 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 SurfacePropDoc to return data for. Default is material_id only if all_fields is False. Returns: ([SurfacePropDoc], [dict]) List of surface properties documents """ query_params = defaultdict(dict) # type: dict if material_ids: if isinstance(material_ids, str): material_ids = [material_ids] query_params.update({"material_ids": ",".join(validate_ids(material_ids))}) if weighted_surface_energy: query_params.update( { "weighted_surface_energy_min": weighted_surface_energy[0], "weighted_surface_energy_max": weighted_surface_energy[1], } ) if weighted_work_function: query_params.update( { "weighted_work_function_min": weighted_work_function[0], "weighted_work_function_max": weighted_work_function[1], } ) if surface_energy_anisotropy: query_params.update( { "surface_anisotropy_min": surface_energy_anisotropy[0], "surface_anisotropy_max": surface_energy_anisotropy[1], } ) if shape_factor: query_params.update( { "shape_factor_min": shape_factor[0], "shape_factor_max": shape_factor[1], } ) if has_reconstructed is not None: query_params.update({"has_reconstructed": has_reconstructed}) 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, )