Source code for psi4.driver.task_base

#
# @BEGIN LICENSE
#
# Psi4: an open-source quantum chemistry software package
#
# Copyright (c) 2007-2022 The Psi4 Developers.
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# The copyrights for code used from other parties are included in
# the corresponding files.
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# This file is part of Psi4.
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# Psi4 is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
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# GNU Lesser General Public License for more details.
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# with Psi4; if not, write to the Free Software Foundation, Inc.,
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__all__ = [
    "AtomicComputer",
    "BaseComputer",
    "EnergyGradientHessianWfnReturn",
]

import abc
import copy
import logging
from typing import Any, Dict, Optional, Tuple, Union

from pydantic import Field, validator
import qcelemental as qcel
from qcelemental.models import DriverEnum, AtomicInput, AtomicResult
qcel.models.molecule.GEOMETRY_NOISE = 13  # need more precision in geometries for high-res findif
import qcengine as qcng

from psi4 import core

logger = logging.getLogger(__name__)

EnergyGradientHessianWfnReturn = Union[float, core.Matrix, Tuple[Union[float, core.Matrix], core.Wavefunction]]


class BaseComputer(qcel.models.ProtoModel):
    @abc.abstractmethod
    def compute(self):
        pass

    @abc.abstractmethod
    def plan(self):
        pass

    class Config(qcel.models.ProtoModel.Config):
        extra = "allow"
        allow_mutation = True


[docs]class AtomicComputer(BaseComputer): """Computer for analytic single-geometry computations.""" molecule: Any = Field(..., description="The molecule to use in the computation.") basis: str = Field(..., description="The quantum chemistry basis set to evaluate (e.g., 6-31g, cc-pVDZ, ...).") method: str = Field(..., description="The quantum chemistry method to evaluate (e.g., B3LYP, MP2, ...).") driver: DriverEnum = Field(..., description="The resulting type of computation: energy, gradient, hessian, properties." "Note for finite difference that this should be the target driver, not the means driver.") keywords: Dict[str, Any] = Field(default_factory=dict, description="The keywords to use in the computation.") computed: bool = Field(False, description="Whether quantum chemistry has been run on this task.") result: Any = Field(default_factory=dict, description="AtomicResult return.") result_id: Optional[str] = Field(None, description="The optional ID for the computation.") class Config(qcel.models.ProtoModel.Config): pass
[docs] @validator("basis") def set_basis(cls, basis): return basis.lower()
[docs] @validator("method") def set_method(cls, method): return method.lower()
[docs] @validator("keywords") def set_keywords(cls, keywords): return copy.deepcopy(keywords)
[docs] def plan(self) -> AtomicInput: """Form QCSchema input from member data.""" atomic_model = AtomicInput(**{ "molecule": self.molecule.to_schema(dtype=2), "driver": self.driver, "model": { "method": self.method, "basis": self.basis }, "keywords": self.keywords, "protocols": { "stdout": True, }, "extras": { "psiapi": True, "wfn_qcvars_only": True, }, }) return atomic_model
[docs] def compute(self, client: Optional["FractalClient"] = None): """Run quantum chemistry.""" from psi4.driver import pp if self.computed: return if client: self.computed = True from qcportal.models import KeywordSet, Molecule # Build the keywords keyword_id = client.add_keywords([KeywordSet(values=self.keywords)])[0] # Build the molecule mol = Molecule(**self.molecule.to_schema(dtype=2)) r = client.add_compute( "psi4", self.method, self.basis, self.driver, keyword_id, [mol] ) self.result_id = r.ids[0] # NOTE: The following will re-run errored jobs by default if self.result_id in r.existing: ret = client.query_tasks(base_result=self.result_id) if ret: if ret[0].status == "ERROR": client.modify_tasks("restart", base_result=self.result_id) logger.info("Resubmitting Errored Job {}".format(self.result_id)) elif ret[0].status == "COMPLETE": logger.debug("Job already completed {}".format(self.result_id)) else: logger.debug("Job already completed {}".format(self.result_id)) else: logger.debug("Submitting AtomicResult {}".format(self.result_id)) return logger.info(f'<<< JSON launch ... {self.molecule.schoenflies_symbol()} {self.molecule.nuclear_repulsion_energy()}') gof = core.get_output_file() # EITHER ... # from psi4.driver import schema_wrapper # self.result = schema_wrapper.run_qcschema(self.plan()) # ... OR ... self.result = qcng.compute( self.plan(), "psi4", raise_error=True, # local_options below suitable for serial mode where each job takes all the resources of the parent Psi4 job. # distributed runs through QCFractal will likely need a different setup. local_options={ # B -> GiB "memory": core.get_memory() / (2 ** 30), "ncores": core.get_num_threads(), }, ) # ... END #pp.pprint(self.result.dict()) #print("... JSON returns >>>") core.set_output_file(gof, True) core.reopen_outfile() logger.debug(pp.pformat(self.result.dict())) core.print_out(_drink_filter(self.result.dict()["stdout"])) self.computed = True
[docs] def get_results(self, client: Optional["FractalClient"] = None) -> AtomicResult: """Return results as Atomic-flavored QCSchema.""" if self.result: return self.result if client: result = client.query_results(id=self.result_id) logger.debug(f"Querying AtomicResult {self.result_id}") if len(result) == 0: return self.result self.result = result[0] return self.result
def _drink_filter(stdout: str) -> str: """Don't mess up the widespread ``grep beer`` test of Psi4 doneness by printing multiple drinks per outfile.""" stdout = stdout.replace("\n*** Psi4 exiting successfully. Buy a developer a beer!", "") stdout = stdout.replace("\n*** Psi4 encountered an error. Buy a developer more coffee!", "") return stdout