comparison subsearch.py @ 12:9de1bb5bb94f draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 1fe240ef0064a1a4a66d9be1ccace53824280b75"

11:701b8995f6d1

"""
    Input: Molecules in SDF, SMILES ...
    Output: Moleculs filtered with specified substructures.
    Copyright 2013, Bjoern Gruening and Xavier Lucas
"""
import sys, os
import argparse
import multiprocessing
import tempfile
import subprocess
import shutil

from openbabel import openbabel, pybel
openbabel.obErrorLog.StopLogging()

def parse_command_line():
    parser = argparse.ArgumentParser()
    parser.add_argument('-i', '--infile', required=True, help='Molecule file.')
    parser.add_argument('--iformat', help='Input format.')
    parser.add_argument('--fastsearch-index', dest="fastsearch_index", 
        required=True, help='Path to the openbabel fastsearch index.')
    parser.add_argument('-o', '--outfile', required=True, help='Path to the output file.')
    parser.add_argument('--oformat', 
        default='smi', help='Output file format')
    parser.add_argument("--max-candidates", dest="max_candidates", type=int,
                    default=4000, help="The maximum number of candidates.")
    parser.add_argument('-p', '--processors', type=int, 
        default=multiprocessing.cpu_count())
    return parser.parse_args()

results = list()
def mp_callback(res):
    results.append(res)

def mp_helper( query, args ):
    """
        Helper function for multiprocessing.
        That function is a wrapper around the following command:
        obabel file.fs -s"smarts" -Ooutfile.smi -al 999999999
    """

        opts = '-o%s' % args.oformat

    tmp = tempfile.NamedTemporaryFile(delete=False)
    cmd = 'obabel -ifs %s -O %s %s -s%s -al %s' % (args.fastsearch_index, tmp.name, opts, query, args.max_candidates)

    child = subprocess.Popen(cmd.split(),
        stdout=subprocess.PIPE, stderr=subprocess.PIPE)

    stdout, stderr = child.communicate()
    return_code = child.returncode

    if return_code:

        sys.stdout.write(stdout)
        sys.stdout.write(stderr)
    return (tmp.name, query)


def get_smiles_or_smarts( args ):
    """
    Wrapper to retrieve a striped SMILES or SMARTS string from different input formats.
    """
    if args.iformat in ['smi', 'text', 'tabular']:
        with open( args.infile ) as text_file:
            for line in text_file:
                yield line.split('\t')[0].strip()
    else:
        # inchi or sdf files
        for mol in pybel.readfile( args.iformat, args.infile ):
            yield mol.write('smiles').split('\t')[0]

def substructure_search( args ):

    pool = multiprocessing.Pool( args.processors )
    for query in get_smiles_or_smarts( args ):
        pool.apply_async(mp_helper, args=(query, args), callback=mp_callback)
        #mp_callback( mp_helper(query, args) )
    pool.close()
    pool.join()

    if args.oformat == 'names':
        out_handle = open( args.outfile, 'w' )
        for result_file, query in results:
            with open(result_file) as res_handle:
                for line in res_handle:
                    out_handle.write('%s\t%s\n' % ( line.strip(), query ))
            os.remove( result_file )
        out_handle.close()
    else:
        out_handle = open( args.outfile, 'wb' )
        for result_file, query in results:
            res_handle = open(result_file,'rb')
            shutil.copyfileobj( res_handle, out_handle )
            res_handle.close()
            os.remove( result_file )
        out_handle.close()


def __main__():
    """
        Multiprocessing Open Babel Substructure Search.
    """
    args = parse_command_line()
    substructure_search( args )

if __name__ == "__main__" :
    __main__()

12:9de1bb5bb94f

"""
    Input: Molecules in SDF, SMILES ...
    Output: Moleculs filtered with specified substructures.
    Copyright 2013, Bjoern Gruening and Xavier Lucas
"""
import argparse
import multiprocessing
import os
import shutil
import subprocess
import sys
import tempfile

from openbabel import openbabel, pybel
openbabel.obErrorLog.StopLogging()


def parse_command_line():
    parser = argparse.ArgumentParser()
    parser.add_argument('-i', '--infile', required=True, help='Molecule file.')
    parser.add_argument('--iformat', help='Input format.')
    parser.add_argument('--fastsearch-index', dest="fastsearch_index", required=True,
                        help='Path to the openbabel fastsearch index.')
    parser.add_argument('-o', '--outfile', required=True, help='Path to the output file.')
    parser.add_argument('--oformat', default='smi', help='Output file format')
    parser.add_argument("--max-candidates", dest="max_candidates", type=int, default=4000,
                        help="The maximum number of candidates.")
    parser.add_argument('-p', '--processors', type=int,
                        default=multiprocessing.cpu_count())
    return parser.parse_args()


results = list()


def mp_callback(res):
    results.append(res)


def mp_helper(query, args):
    """
        Helper function for multiprocessing.
        That function is a wrapper around the following command:
        obabel file.fs -s"smarts" -Ooutfile.smi -al 999999999
    """

        opts = '-o%s' % args.oformat

    tmp = tempfile.NamedTemporaryFile(delete=False)
    cmd = 'obabel -ifs %s -O %s %s -s%s -al %s' % (args.fastsearch_index, tmp.name, opts, query, args.max_candidates)

    child = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE, stderr=subprocess.PIPE)

    stdout, stderr = child.communicate()
    return_code = child.returncode

    if return_code:

        sys.stdout.write(stdout)
        sys.stdout.write(stderr)
    return (tmp.name, query)


def get_smiles_or_smarts(args):
    """
    Wrapper to retrieve a striped SMILES or SMARTS string from different input formats.
    """
    if args.iformat in ['smi', 'text', 'tabular']:
        with open(args.infile) as text_file:
            for line in text_file:
                yield line.split('\t')[0].strip()
    else:
        # inchi or sdf files
        for mol in pybel.readfile(args.iformat, args.infile):
            yield mol.write('smiles').split('\t')[0]


def substructure_search(args):
    pool = multiprocessing.Pool(args.processors)
    for query in get_smiles_or_smarts(args):
        pool.apply_async(mp_helper, args=(query, args), callback=mp_callback)
        # mp_callback(mp_helper(query, args))
    pool.close()
    pool.join()

    if args.oformat == 'names':
        out_handle = open(args.outfile, 'w')
        for result_file, query in results:
            with open(result_file) as res_handle:
                for line in res_handle:
                    out_handle.write('%s\t%s\n' % (line.strip(), query))
            os.remove(result_file)
        out_handle.close()
    else:
        out_handle = open(args.outfile, 'wb')
        for result_file, query in results:
            res_handle = open(result_file, 'rb')
            shutil.copyfileobj(res_handle, out_handle)
            res_handle.close()
            os.remove(result_file)
        out_handle.close()


def __main__():
    """
        Multiprocessing Open Babel Substructure Search.
    """
    args = parse_command_line()
    substructure_search(args)


if __name__ == "__main__":
    __main__()