Source code for aiida.parsers.plugins.quantumespresso.basicpw

# -*- coding: utf-8 -*-
from aiida.orm.calculation.job.quantumespresso.pw import PwCalculation
from aiida.parsers.plugins.quantumespresso.basic_raw_parser_pw import (
    parse_raw_output, QEOutputParsingError)
from aiida.orm.data.parameter import ParameterData
from aiida.orm.data.folder import FolderData
from aiida.parsers.parser import Parser  # , ParserParamManager
from aiida.parsers.plugins.quantumespresso import convert_qe2aiida_structure
from aiida.common.datastructures import calc_states
from aiida.common.exceptions import UniquenessError
from aiida.orm.data.array import ArrayData
from aiida.orm.data.array.kpoints import KpointsData

# TODO: I don't like the generic class always returning a name for the link to the output structure

__copyright__ = u"Copyright (c), 2015, ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (Theory and Simulation of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (NCCR MARVEL)), Switzerland and ROBERT BOSCH LLC, USA. All rights reserved."
__license__ = "MIT license, see LICENSE.txt file"
__version__ = "0.5.0"
__contributors__ = "Andrea Cepellotti, Giovanni Pizzi, Martin Uhrin"


[docs]class BasicpwParser(Parser): """ This class is the implementation of the Parser class for PWscf. """ _setting_key = 'parser_options' def __init__(self, calc): """ Initialize the instance of PwParser """ # check for valid input if not isinstance(calc, PwCalculation): raise QEOutputParsingError("Input calc must be a PwCalculation") super(BasicpwParser, self).__init__(calc)
[docs] def parse_with_retrieved(self, retrieved): """ Receives in input a dictionary of retrieved nodes. Does all the logic here. """ from aiida.common.exceptions import InvalidOperation import os import glob successful = True # check if I'm not to overwrite anything #state = self._calc.get_state() #if state != calc_states.PARSING: # raise InvalidOperation("Calculation not in {} state" # .format(calc_states.PARSING) ) # retrieve the input parameter calc_input = self._calc.inp.parameters # look for eventual flags of the parser try: parser_opts = self._calc.inp.settings.get_dict()[self.get_parser_settings_key()] except (AttributeError, KeyError): parser_opts = {} # load the input dictionary # TODO: pass this input_dict to the parser. It might need it. input_dict = self._calc.inp.parameters.get_dict() # Check that the retrieved folder is there try: out_folder = retrieved[self._calc._get_linkname_retrieved()] except KeyError: self.logger.error("No retrieved folder found") return False, () # check what is inside the folder list_of_files = out_folder.get_folder_list() # at least the stdout should exist if not self._calc._OUTPUT_FILE_NAME in list_of_files: self.logger.error("Standard output not found") successful = False return successful, () # if there is something more, I note it down, so to call the raw parser # with the right options # look for xml has_xml = False if self._calc._DATAFILE_XML_BASENAME in list_of_files: has_xml = True # look for bands has_bands = False if glob.glob(os.path.join(out_folder.get_abs_path('.'), 'K*[0-9]')): # Note: assuming format of kpoints subfolder is K*[0-9] has_bands = True # TODO: maybe it can be more general than bands only? out_file = os.path.join(out_folder.get_abs_path('.'), self._calc._OUTPUT_FILE_NAME) xml_file = os.path.join(out_folder.get_abs_path('.'), self._calc._DATAFILE_XML_BASENAME) dir_with_bands = out_folder.get_abs_path('.') # call the raw parsing function parsing_args = [out_file, input_dict, parser_opts] if has_xml: parsing_args.append(xml_file) if has_bands: if not has_xml: self.logger.warning("Cannot parse bands if xml file not " "found") else: parsing_args.append(dir_with_bands) out_dict, trajectory_data, structure_data, raw_successful = parse_raw_output(*parsing_args) # if calculation was not considered failed already, use the new value successful = raw_successful if successful else successful new_nodes_list = [] # I eventually save the new structure. structure_data is unnecessary after this in_struc = self._calc.get_inputs_dict()['structure'] type_calc = input_dict['CONTROL']['calculation'] struc = in_struc if type_calc in ['relax', 'vc-relax', 'md', 'vc-md']: if 'cell' in structure_data.keys(): struc = convert_qe2aiida_structure(structure_data, input_structure=in_struc) new_nodes_list.append((self.get_linkname_outstructure(), struc)) k_points_list = trajectory_data.pop('k_points', None) k_points_weights_list = trajectory_data.pop('k_points_weights', None) if k_points_list is not None: # build the kpoints object if out_dict['k_points_units'] not in ['2 pi / Angstrom']: raise QEOutputParsingError('Error in kpoints units (should be cartesian)') # converting bands into a BandsData object (including the kpoints) kpoints_from_output = KpointsData() kpoints_from_output.set_cell_from_structure(struc) kpoints_from_output.set_kpoints(k_points_list, cartesian=True, weights=k_points_weights_list) kpoints_from_input = self._calc.inp.kpoints try: kpoints_from_input.get_kpoints() except AttributeError: new_nodes_list += [(self.get_linkname_out_kpoints(), kpoints_from_output)] # convert the dictionary into an AiiDA object output_params = ParameterData(dict=out_dict) # return it to the execmanager new_nodes_list.append((self.get_linkname_outparams(), output_params)) if trajectory_data: import numpy from aiida.orm.data.array.trajectory import TrajectoryData from aiida.orm.data.array import ArrayData try: positions = numpy.array(trajectory_data.pop('atomic_positions_relax')) try: cells = numpy.array(trajectory_data.pop('lattice_vectors_relax')) # if KeyError, the MD was at fixed cell except KeyError: cells = numpy.array([in_struc.cell] * len(positions)) symbols = numpy.array([str(i.kind_name) for i in in_struc.sites]) steps = numpy.arange(len(positions)) # a growing integer per step # I will insert time parsing when they fix their issues about time # printing (logic is broken if restart is on) traj = TrajectoryData() traj.set_trajectory(steps=steps, cells=cells, symbols=symbols, positions=positions, ) for x in trajectory_data.iteritems(): traj.set_array(x[0], numpy.array(x[1])) # return it to the execmanager new_nodes_list.append((self.get_linkname_outtrajectory(), traj)) except KeyError: # forces in scf calculation (when outputed) arraydata = ArrayData() for x in trajectory_data.iteritems(): arraydata.set_array(x[0], numpy.array(x[1])) # return it to the execmanager new_nodes_list.append((self.get_linkname_outarray(), arraydata)) return successful, new_nodes_list
[docs] def get_parser_settings_key(self): """ Return the name of the key to be used in the calculation settings, that contains the dictionary with the parser_options """ return 'parser_options'
[docs] def get_linkname_outstructure(self): """ Returns the name of the link to the output_structure Node exists if positions or cell changed. """ return 'output_structure'
[docs] def get_linkname_outtrajectory(self): """ Returns the name of the link to the output_trajectory. Node exists in case of calculation='md', 'vc-md', 'relax', 'vc-relax' """ return 'output_trajectory'
[docs] def get_linkname_outarray(self): """ Returns the name of the link to the output_array Node may exist in case of calculation='scf' """ return 'output_array'
[docs] def get_linkname_out_kpoints(self): """ Returns the name of the link to the output_kpoints Node exists if cell has changed and no bands are stored. """ return 'output_kpoints'