Source code for mp_api.client.routes.materials.surface_properties
from __future__ import annotations
import warnings
from collections import defaultdict
from emmet.core.surface_properties import SurfacePropDoc
from mp_api.client.core import BaseRester
[docs]
class SurfacePropertiesRester(BaseRester[SurfacePropDoc]):
suffix = "materials/surface_properties"
document_model = SurfacePropDoc # type: ignore
primary_key = "task_id"
[docs]
def search_surface_properties_docs(self, *args, **kwargs): # pragma: no cover
"""Deprecated."""
warnings.warn(
"MPRester.surface_properties.search_surface_properties_docs is deprecated. "
"Please use MPRester.surface_properties.search instead.",
DeprecationWarning,
stacklevel=2,
)
return self.search(*args, **kwargs)
[docs]
def search(
self,
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,
):
"""Query surface properties docs using a variety of search criteria.
Arguments:
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]) List of surface properties documents
"""
query_params = defaultdict(dict) # type: dict
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,
)