Chimie Théorique » scripts_chimie4psmn » DockOnSurf

import os

import logging

logger = logging.getLogger('DockOnSurf')

def check_finished_calcs(run_type, code):

    """Returns two lists of calculations finished normally and abnormally.

    @param run_type: The type of calculation to check.

    @param code: The code used for the specified job.

    @return finished_calcs: List of calculations that have finished normally.

    @return unfinished_calcs: List of calculations that have finished abnormally

    """

    from glob import glob

    import ase.io

    from modules.utilities import tail

    finished_calcs = []

    unfinished_calcs = []

    for conf in os.listdir(run_type):

        if not os.path.isdir(f'{run_type}/{conf}') or 'conf_' not in conf:

            continue

        if code == 'cp2k':

            out_file_list = glob(f"{run_type}/{conf}/*.out")

            restart_file_list = glob(f"{run_type}/{conf}/*-1.restart")

            if len(out_file_list) == 0 or len(restart_file_list) == 0:

                unfinished_calcs.append(conf)

            elif len(out_file_list) > 1 or len(restart_file_list) > 1:

                warn_msg = f'There is more than one file matching the {code} ' \

                           f'pattern for finished calculation (*.out / ' \

                           f'*-1.restart) in {run_type}/{conf}: ' \

                           f'{out_file_list, restart_file_list}. ' \

                           f'Skipping directory.'

                logger.warning(warn_msg)

                unfinished_calcs.append(conf)

            else:

                with open(out_file_list[0], 'rb') as out_fh:

                    if "PROGRAM STOPPED IN" not in tail(out_fh):

                        unfinished_calcs.append(conf)

                    else:

                        finished_calcs.append(conf)

        elif code == 'vasp':

            out_file_list = glob(f"{run_type}/{conf}/OUTCAR")

            if len(out_file_list) == 0:

                unfinished_calcs.append(conf)

            elif len(out_file_list) > 1:

                warn_msg = f'There is more than one file matching the {code} ' \

                           f'pattern for finished calculation (*.out / ' \

                           f'*-1.restart) in {run_type}/{conf}: ' \

                           f'{out_file_list}. Skipping directory.'

                logger.warning(warn_msg)

                unfinished_calcs.append(conf)

            else:

                try:

                    ase.io.read(f"{run_type}/{conf}/OUTCAR")

                except ValueError:

                    unfinished_calcs.append(conf)

                    continue

                except IndexError:

                    unfinished_calcs.append(conf)

                    continue

                with open(f"{run_type}/{conf}/OUTCAR", 'rb') as out_fh:

                    if "General timing and accounting" not in tail(out_fh):

                        unfinished_calcs.append(conf)

                    else:

                        finished_calcs.append(conf)

        else:

            err_msg = f"Check not implemented for '{code}'."

            logger.error(err_msg)

            raise NotImplementedError(err_msg)

    return finished_calcs, unfinished_calcs

def prep_cp2k(inp_file: str, run_type: str, atms_list: list, proj_name: str):

    """Prepares the directories to run calculations with CP2K.

    @param inp_file: CP2K Input file to run the calculations with.

    @param run_type: Type of calculation. 'isolated', 'screening' or

        'refinement'

    @param atms_list: list of ase.Atoms objects to run the calculation of.

    @param proj_name: name of the project

    @return: None

    """

    from shutil import copy

    from pycp2k import CP2K

    from modules.utilities import check_bak

    if not isinstance(inp_file, str):

        err_msg = "'inp_file' must be a string with the path of the CP2K " \

                  "input file."

        logger.error(err_msg)

        raise ValueError(err_msg)

    cp2k = CP2K()

    cp2k.parse(inp_file)

    cp2k.CP2K_INPUT.GLOBAL.Project_name = proj_name+"_"+run_type

    force_eval = cp2k.CP2K_INPUT.FORCE_EVAL_list[0]

    if force_eval.SUBSYS.TOPOLOGY.Coord_file_name is None:

        logger.warning("'COORD_FILE_NAME' not specified on CP2K input. Using\n"

                       "'coord.xyz'. A new CP2K input file with "

                       "the 'COORD_FILE_NAME' variable is created.")

        force_eval.SUBSYS.TOPOLOGY.Coord_file_name = 'coord.xyz'

        check_bak(inp_file.split('/')[-1])

    cp2k.write_input_file(inp_file.split('/')[-1])

    coord_file = force_eval.SUBSYS.TOPOLOGY.Coord_file_name

    # Creating and setting up directories for every configuration.

    for i, conf in enumerate(atms_list):

        subdir = f'{run_type}/conf_{i}/'

        os.mkdir(subdir)

        copy(inp_file, subdir)

        conf.write(subdir + coord_file)

def prep_vasp(inp_files, run_type, atms_list, proj_name, cell):

    """Prepares the directories to run calculations with VASP.

    @param inp_files: VASP Input files to run the calculations with.

    @param run_type: Type of calculation. 'isolated', 'screening' or

        'refinement'

    @param atms_list: list of ase.Atoms objects to run the calculation of.

    @param proj_name: name of the project.

    @param cell: Cell for the Periodic Boundary Conditions.

    @return: None

    """

    from shutil import copy

    import os

    import numpy as np

    from pymatgen.io.vasp.inputs import Incar

    mand_files = ["INCAR", "KPOINTS", "POTCAR"]

    # Check that there are many specified files

    if not isinstance(inp_files, list) and all(isinstance(inp_file, str)

                                               for inp_file in inp_files):

        err_msg = "'inp_files' should be a list of file names/paths"

        logger.error(err_msg)

        ValueError(err_msg)

    # Check that all mandatory files are defined

    elif any(not any(mand_file in inp_file.split("/")[-1]

                     for inp_file in inp_files) for mand_file in mand_files):

        err_msg = f"At least one of the mandatory files {mand_files} was " \

                  "not specified."

        logger.error(err_msg)

        raise FileNotFoundError(err_msg)

    # Check that the defined files exist

    elif any(not os.path.isfile(inp_file) for inp_file in inp_files):

        err_msg = f"At least one of the mandatory files {mand_files} was " \

                  "not found."

        logger.error(err_msg)

        raise FileNotFoundError(err_msg)

    incar = ""

    for i, inp_file in enumerate(inp_files):

        file_name = inp_file.split("/")[-1]

        if "INCAR" in file_name:

            incar = Incar.from_file(inp_file)

            incar["SYSTEM"] = proj_name+"_"+run_type

    for c, conf in enumerate(atms_list):

        subdir = f'{run_type}/conf_{c}/'

        os.mkdir(subdir)

        for inp_file in inp_files:

            file_name = inp_file.split("/")[-1]

            if "INCAR" in file_name:

                incar.write_file(subdir+"INCAR")

            elif "KPOINTS" in file_name and "KPOINTS" != file_name:

                copy(inp_file, subdir+"KPOINTS")

            elif "POTCAR" in file_name and "POTCAR" != file_name:

                copy(inp_file, subdir+"POTCAR")

            else:

                copy(inp_file, subdir)

        if cell is not False and np.linalg.det(cell) != 0.0:

            conf.pbc = True

            conf.cell = cell

            conf.center()

        elif np.linalg.det(conf.cell) == 0:

            err_msg = "Cell is not defined"

            logger.error(err_msg)

            raise ValueError(err_msg)

        conf.write(subdir+"POSCAR", format="vasp")

def get_jobs_status(job_ids, stat_cmd, stat_dict):

    """Returns a list of job status for a list of job ids.

    @param job_ids: list of all jobs to be checked their status.

    @param stat_cmd: Command to check job status.

    @param stat_dict: Dictionary with pairs of job status (r, p, f) and the

        pattern it matches in the output of the stat_cmd.

    @return: list of status for every job.

    """

    from subprocess import PIPE, Popen

    status_list = []

    for job in job_ids:

        stat_msg = Popen(stat_cmd % job, shell=True,

                         stdout=PIPE).communicate()[0].decode('utf-8').strip()

        if stat_dict['r'] == stat_msg:

            status_list.append('r')

        elif stat_dict['p'] == stat_msg:

            status_list.append('p')

        elif stat_dict['f'] == stat_msg:

            status_list.append('f')

        else:

            logger.warning(f'Unrecognized job {job} status: {stat_msg}')

    return status_list

def submit_jobs(run_type, sub_cmd, sub_script, stat_cmd, stat_dict, max_jobs,

                name):

    """Submits jobs to a custom queuing system with the provided script

    @param run_type: Type of calculation. 'isolated', 'screening', 'refinement'

    @param sub_cmd: Bash command used to submit jobs.

    @param sub_script: script for the job submission.

    @param stat_cmd: Bash command to check job status.

    @param stat_dict: Dictionary with pairs of job status: r, p, f (ie. running

        pending and finished) and the pattern it matches in the output of the

        stat_cmd.

    @param max_jobs: dict: Contains the maximum number of jobs to be both

        running, pending/queued and pending+running. When the relevant maximum

        is reached no jobs more are submitted.

    @param name: name of the project.

    """

    from shutil import copy

    from time import sleep

    from subprocess import PIPE, Popen

    subm_jobs = []

    init_dir = os.getcwd()

    for conf in os.listdir(run_type):

        i = conf.split('_')[1]

        while get_jobs_status(subm_jobs, stat_cmd, stat_dict).count("r") + \

                get_jobs_status(subm_jobs, stat_cmd, stat_dict).count("p") \

                >= max_jobs['rp']\

                or get_jobs_status(subm_jobs, stat_cmd, stat_dict).count("r") \

                >= max_jobs['r'] \

                or get_jobs_status(subm_jobs, stat_cmd, stat_dict).count("p") \

                >= max_jobs['p']:

            sleep(30)

        copy(sub_script, f"{run_type}/{conf}")

        os.chdir(f"{run_type}/{conf}")

        job_name = f'{name[:5]}{run_type[:3].capitalize()}{i}'

        sub_order = sub_cmd % (job_name, sub_script)

        subm_msg = Popen(sub_order, shell=True, stdout=PIPE).communicate()[0]

        job_id = None

        for word in subm_msg.decode("utf-8").split():

            try:

                job_id = int(word.replace('>', '').replace('<', ''))

                break

            except ValueError:

                continue

        subm_jobs.append(job_id)

        os.chdir(init_dir)

    logger.info('All jobs have been submitted, waiting for them to finish.')

    while not all([stat == 'f' for stat in

                   get_jobs_status(subm_jobs, stat_cmd, stat_dict)]):

        sleep(30)

    logger.info('All jobs have finished.')

def run_calc(run_type, inp_vars, atms_list):

    """Directs the calculation run according to the provided arguments.

    @param run_type: Type of calculation. 'isolated', 'screening' or

    'refinement'

    @param inp_vars: Calculation parameters from input file.

    @param atms_list: List of ase.Atoms objects containing the sets of atoms

    aimed to run the calculations of.

    """

    from modules.utilities import check_bak

    run_types = ['isolated', 'screening', 'refinement']

    if not isinstance(run_type, str) or run_type.lower() not in run_types:

        run_type_err = f"'run_type' must be one of the following: {run_types}"

        logger.error(run_type_err)

        raise ValueError(run_type_err)

    if inp_vars['batch_q_sys']:

        logger.info(f"Running {run_type} calculation with {inp_vars['code']} on"

                    f" {inp_vars['batch_q_sys']}.")

    else:

        logger.info(f"Doing a dry run of {run_type}.")

    check_bak(run_type)

    os.mkdir(run_type)

    # Prepare directories and files for relevant code.

    input_files = {'isolated': 'isol_inp_file', 'screening': 'screen_inp_file',

                   'refinement': 'refine_inp_file', }

    if inp_vars['code'] == 'cp2k':

        prep_cp2k(inp_vars[input_files[run_type]], run_type, atms_list,

                  inp_vars['project_name'])

    elif inp_vars['code'] == "vasp":

        prep_vasp(inp_vars[input_files[run_type]], run_type, atms_list,

                  inp_vars['project_name'], inp_vars['pbc_cell'])

    # elif: inp_vars['code'] == 'Other codes here'

    # Submit/run Jobs

    if inp_vars['batch_q_sys'] == 'sge':

        stat_cmd = "qstat | grep %s | awk '{print $5}'"

        stat_dict = {'r': 'r', 'p': 'qw', 'f': ''}

        submit_jobs(run_type, 'qsub -N %s %s', inp_vars['subm_script'],

                    stat_cmd, stat_dict, inp_vars['max_jobs'],

                    inp_vars['project_name'])

    elif inp_vars['batch_q_sys'] == 'lsf':

        stat_cmd = "bjobs -w | grep %s | awk '{print $3}'"

        stat_dict = {'r': 'RUN', 'p': 'PEND', 'f': ''}

        submit_jobs(run_type, 'bsub -J %s < %s', inp_vars['subm_script'],

                    stat_cmd, stat_dict, inp_vars['max_jobs'],

                    inp_vars['project_name'])

    elif inp_vars['batch_q_sys'] == 'irene':

        stat_cmd = "ccc_mstat | grep %s | awk '{print $10}' | cut -c1"

        stat_dict = {'r': 'R', 'p': 'P', 'f': ''}

        submit_jobs(run_type, 'ccc_msub -r %s %s', inp_vars['subm_script'],

                    stat_cmd, stat_dict, inp_vars['max_jobs'],

                    inp_vars['project_name'])

    elif inp_vars['batch_q_sys'] == 'local':

        pass  # TODO implement local

    elif not inp_vars['batch_q_sys']:

        pass

    else:

        err_msg = "Unknown value for 'batch_q_sys'."

        logger.error(err_msg)

        raise ValueError(err_msg)