Source code for janus_core.calculations.base

"""Prepare structures for MLIP calculations."""

from __future__ import annotations

from typing import Any

from ase import Atoms

from janus_core.helpers.janus_types import (
    Architectures,
    ASEReadArgs,
    Devices,
    MaybeSequence,
    PathLike,
)
from janus_core.helpers.log import config_logger, config_tracker
from janus_core.helpers.struct_io import input_structs
from janus_core.helpers.utils import FileNameMixin, none_to_dict


[docs] class BaseCalculation(FileNameMixin): """ Prepare structures for MLIP calculations. Parameters ---------- calc_name : str Name of calculation being run, used for name of logger. Default is "base". struct : MaybeSequence[Atoms] | None ASE Atoms structure(s) to simulate. Required if `struct_path` is None. Default is None. struct_path : PathLike | None Path of structure to simulate. Required if `struct` is None. Default is None. arch : Architectures MLIP architecture to use for calculations. Default is "mace_mp". device : Devices Device to run model on. Default is "cpu". model_path : PathLike | None Path to MLIP model. Default is `None`. read_kwargs : ASEReadArgs Keyword arguments to pass to ase.io.read. Default is {}. sequence_allowed : bool Whether a sequence of Atoms objects is allowed. Default is True. calc_kwargs : dict[str, Any] | None Keyword arguments to pass to the selected calculator. Default is {}. set_calc : bool | None Whether to set (new) calculators for structures. Default is None. attach_logger : bool Whether to attach a logger. Default is False. log_kwargs : dict[str, Any] | None Keyword arguments to pass to `config_logger`. Default is {}. track_carbon : bool Whether to track carbon emissions of calculation. Default is True. tracker_kwargs : dict[str, Any] | None Keyword arguments to pass to `config_tracker`. Default is {}. file_prefix : PathLike | None Prefix for output filenames. Default is None. additional_prefix : str | None Component to add to default file_prefix (joined by hyphens). Default is None. param_prefix : str | None Additional parameters to add to default file_prefix. Default is None. Attributes ---------- logger : logging.Logger | None Logger if log file has been specified. tracker : OfflineEmissionsTracker | None Tracker if logging is enabled. """
[docs] def __init__( self, *, calc_name: str = "base", struct: MaybeSequence[Atoms] | None = None, struct_path: PathLike | None = None, arch: Architectures = "mace_mp", device: Devices = "cpu", model_path: PathLike | None = None, read_kwargs: ASEReadArgs | None = None, sequence_allowed: bool = True, calc_kwargs: dict[str, Any] | None = None, set_calc: bool | None = None, attach_logger: bool = False, log_kwargs: dict[str, Any] | None = None, track_carbon: bool = True, tracker_kwargs: dict[str, Any] | None = None, file_prefix: PathLike | None = None, additional_prefix: str | None = None, param_prefix: str | None = None, ) -> None: """ Read the structure being simulated and attach an MLIP calculator. Parameters ---------- calc_name : str Name of calculation being run, used for name of logger. Default is "base". struct : MaybeSequence[Atoms] | None ASE Atoms structure(s) to simulate. Required if `struct_path` is None. Default is None. struct_path : PathLike | None Path of structure to simulate. Required if `struct` is None. Default is None. arch : Architectures MLIP architecture to use for calculations. Default is "mace_mp". device : Devices Device to run MLIP model on. Default is "cpu". model_path : PathLike | None Path to MLIP model. Default is `None`. read_kwargs : ASEReadArgs | None Keyword arguments to pass to ase.io.read. Default is {}. sequence_allowed : bool Whether a sequence of Atoms objects is allowed. Default is True. calc_kwargs : dict[str, Any] | None Keyword arguments to pass to the selected calculator. Default is {}. set_calc : bool | None Whether to set (new) calculators for structures. Default is None. attach_logger : bool Whether to attach a logger. Default is False. log_kwargs : dict[str, Any] | None Keyword arguments to pass to `config_logger`. Default is {}. track_carbon : bool Whether to track carbon emissions of calculation. Default is True. tracker_kwargs : dict[str, Any] | None Keyword arguments to pass to `config_tracker`. Default is {}. file_prefix : PathLike | None Prefix for output filenames. Default is None. additional_prefix : str | None Component to add to default file_prefix (joined by hyphens). Default is None. param_prefix : str | None Additional parameters to add to default file_prefix. Default is None. """ read_kwargs, calc_kwargs, log_kwargs, tracker_kwargs = none_to_dict( read_kwargs, calc_kwargs, log_kwargs, tracker_kwargs ) self.struct = struct self.struct_path = struct_path self.arch = arch self.device = device self.model_path = model_path self.read_kwargs = read_kwargs self.calc_kwargs = calc_kwargs self.log_kwargs = log_kwargs self.track_carbon = track_carbon self.tracker_kwargs = tracker_kwargs if not self.model_path and "model_path" in self.calc_kwargs: raise ValueError("`model_path` must be passed explicitly") # Read structures and/or attach calculators # Note: logger not set up so yet so not passed here self.struct = input_structs( struct=self.struct, struct_path=self.struct_path, read_kwargs=self.read_kwargs, sequence_allowed=sequence_allowed, arch=self.arch, device=self.device, model_path=self.model_path, calc_kwargs=self.calc_kwargs, set_calc=set_calc, ) FileNameMixin.__init__( self, self.struct, self.struct_path, file_prefix, additional_prefix, ) # Configure logging # Extract command from module # e.g janus_core.calculations.single_point -> singlepoint log_suffix = f"{calc_name.split('.')[-1].replace('_', '')}-log.yml" if attach_logger: # Use _build_filename even if given filename to ensure directory exists self.log_kwargs.setdefault("filename", None) self.log_kwargs["filename"] = self._build_filename( log_suffix, param_prefix if file_prefix is None else "", filename=self.log_kwargs["filename"], ).absolute() self.log_kwargs.setdefault("name", calc_name) self.logger = config_logger(**self.log_kwargs) self.tracker = config_tracker( self.logger, self.track_carbon, **self.tracker_kwargs )