1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152
|
from __future__ import annotations
from collections import defaultdict
from emmet.core.electrode import InsertionElectrodeDoc
from pymatgen.core.periodic_table import Element
from mp_api.client.core import BaseRester
from mp_api.client.core.utils import validate_ids
class ElectrodeRester(BaseRester[InsertionElectrodeDoc]):
suffix = "materials/insertion_electrodes"
document_model = InsertionElectrodeDoc # type: ignore
primary_key = "battery_id"
def search( # pragma: ignore
self,
material_ids: str | list[str] | None = None,
battery_ids: str | list[str] | None = None,
average_voltage: tuple[float, float] | None = None,
capacity_grav: tuple[float, float] | None = None,
capacity_vol: tuple[float, float] | None = None,
elements: list[str] | None = None,
energy_grav: tuple[float, float] | None = None,
energy_vol: tuple[float, float] | None = None,
exclude_elements: list[str] | None = None,
formula: str | list[str] | None = None,
fracA_charge: tuple[float, float] | None = None,
fracA_discharge: tuple[float, float] | None = None,
max_delta_volume: tuple[float, float] | None = None,
max_voltage_step: tuple[float, float] | None = None,
num_elements: tuple[int, int] | None = None,
num_steps: tuple[int, int] | None = None,
stability_charge: tuple[float, float] | None = None,
stability_discharge: tuple[float, float] | None = None,
working_ion: Element | None = None,
num_chunks: int | None = None,
chunk_size: int = 1000,
all_fields: bool = True,
fields: list[str] | None = None,
) -> list[InsertionElectrodeDoc] | list[dict]:
"""Query 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]).
battery_ids (str, List[str]): A single battery ID string or list of strings
(e.g., mp-22526_Li, [mp-22526_Li, mp-22526_Ca]).
average_voltage (Tuple[float,float]): Minimum and maximum value of the average voltage for a particular
voltage step in V.
capacity_grav (Tuple[float,float]): Minimum and maximum value of the gravimetric capacity in maH/g.
capacity_vol (Tuple[float,float]): Minimum and maximum value of the volumetric capacity in maH/cc.
elements (List[str]): A list of elements for the framework material.
energy_grav (Tuple[float,float]): Minimum and maximum value of the gravimetric energy (specific energy)
in Wh/kg.
energy_vol (Tuple[float,float]): Minimum and maximum value of the volumetric energy (energy density)
in Wh/l.
exclude_elements (List[str]): A list of elements to exclude for the framework material.
formula (str, List[str]): Chemical formula or list of chemical formulas of any of the materials
associated with the electrode system. This includes materials partially along the charge-discharge path.
fracA_charge (Tuple[float,float]): Minimum and maximum value of the atomic fraction of the working ion
in the charged state.
fracA_discharge (Tuple[float,float]): Minimum and maximum value of the atomic fraction of the working ion
in the discharged state.
max_delta_volume (Tuple[float,float]): Minimum and maximum value of the max volume change in percent for a
particular voltage step.
max_voltage_step (Tuple[float,float]): Minimum and maximum value of the maximum voltage for a particular
voltage step in V.
num_elements (Tuple[int,int]): Minimum and maximum number of elements to consider.
num_steps (int): Number of distinct voltage steps from charged to discharged based on stable intermediates.
stability_charge (Tuple[float,float]): Minimum and maximum value of the energy above hull of the charged
material.
stability_discharge (Tuple[float,float]): Minimum and maximum value of the energy above hull of the
discharged material.
working_ion (Element, List[Element]): Element or list of elements of the working ion.
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 InsertionElectrodeDoc to return data for.
Default is battery_id and last_updated if all_fields is False.
Returns:
([InsertionElectrodeDoc], [dict]) List of insertion electrode documents or dictionaries.
"""
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 battery_ids:
if isinstance(battery_ids, str):
battery_ids = [battery_ids]
query_params.update({"battery_ids": ",".join(validate_ids(battery_ids))})
if working_ion:
if isinstance(working_ion, (str, Element)):
working_ion = [working_ion] # type: ignore
query_params.update(
{"working_ion": ",".join([str(ele) for ele in working_ion])} # type: ignore
)
if formula:
if isinstance(formula, str):
formula = [formula]
query_params.update({"formula": ",".join(formula)})
if elements:
query_params.update({"elements": ",".join(elements)})
if num_elements:
if isinstance(num_elements, int):
num_elements = (num_elements, num_elements)
query_params.update(
{"nelements_min": num_elements[0], "nelements_max": num_elements[1]}
)
if exclude_elements:
query_params.update({"exclude_elements": ",".join(exclude_elements)})
for param, value in locals().items():
if (
param
not in [
"__class__",
"self",
"working_ion",
"query_params",
"num_elements",
]
and value
):
if isinstance(value, tuple):
query_params.update(
{f"{param}_min": value[0], f"{param}_max": value[1]}
)
else:
query_params.update({param: value})
query_params = {
entry: query_params[entry]
for entry in query_params
if query_params[entry] is not None
}
return super()._search(**query_params)
|