示例#1
0
def main(arguments=sys.argv[1:]):
    """Main method for mvf_filter"""
    parser = argparse.ArgumentParser(description="""
    Filters and Transforms MVF files""")
    parser.add_argument("--mvf", help="input MVF file")
    parser.add_argument("--out", help="output MVF file")
    parser.add_argument("--actions", nargs='*',
                        help=("set of actions:args to perform,"
                              " note these are done in order as listed"))
    parser.add_argument("--test", help="manually input a line for testing")
    parser.add_argument("--testnchar", type=int,
                        help="total number of samples for test string")
    parser.add_argument("--modulehelp", action="store_true",
                        help="prints full module list and descriptions")
    parser.add_argument("--linebuffer", type=int, default=100000,
                        help="number of lines to write at once to MVF")
    parser.add_argument("--verbose", action="store_true",
                        help="report every line (for debugging)")
    parser.add_argument("--overwrite", action="store_true",
                        help="USE WITH CAUTION: force overwrite of outputs")
    parser.add_argument("--quiet", action="store_true",
                        help="suppress progress meter")
    parser.add_argument("-v", "--version", action="store_true",
                        help="display version information")
    args = parser.parse_args(args=arguments)
    if args.version:
        print("Version 2015-02-26")
        sys.exit()
    args = parser.parse_args(args=arguments)
    time0 = time()
    if args.modulehelp:
        modulehelp()
    if not args.mvf and not args.test:
        raise RuntimeError("No input file specified with --mvf")
    if not args.out and not args.test:
        raise RuntimeError("No output file specified with --outs")
    if not args.actions:
        raise RuntimeError("No --actions specified!")
    ## Establish Input MVF
    if args.test:
        ncol = args.testnchar or len(args.test)
    else:
        mvf = MultiVariantFile(args.mvf, 'read')
        ncol = mvf.metadata['ncol']
    ## Create Actionset
    actionset = build_actionset(args.actions, ncol)
    ##TESTING MODE
    if args.test:
        loc, alleles = args.test.split()
        linefail = False
        transformed = False
        #invar = invariant (single character)
        #refvar (all different than reference, two chars)
        #onecov (single coverage, + is second character)
        #onevar (one variable base, + is third character)
        #full = full alleles (all chars)
        if args.verbose:
            print(alleles)
        linetype = get_linetype(alleles)
        sys.stdout.write("MVF Encoding type '{}' detected\n".format(linetype))
        for actionname, actiontype, actionfunc, actionarg in actionset:
            sys.stdout.write("Applying action {} ({}): ".format(
                actionname, actiontype))
            if actiontype == 'filter':
                if not actionfunc(alleles, linetype):
                    linefail = True
                    sys.stdout.write("Filter Fail\n")
                    break
                else:
                    sys.stdout.write("Filter Pass\n")
            elif actiontype == 'transform':
                transformed = True
                alleles = actionfunc(alleles, linetype)
                linetype = get_linetype(alleles)
                if linetype == 'empty':
                    linefail = True
                    sys.stdout.write("Transform removed all alleles\n")
                    break
                else:
                    sys.stdout.write("Transform result {}\n".format(alleles))
            elif actiontype == 'location':
                if not actionfunc([int(x) for x in loc.split(':')]):
                    linefail = True
                    sys.stdout.write("Location Fail\n")
                    break
                else:
                    sys.stdout.write("Location Pass\n")
        if not linefail:
            if transformed:
                if linetype == 'full':
                    alleles = encode_mvfstring(alleles)
                if alleles:
                    test_output = "{}\t{}\n".format(loc, alleles)
                    sys.stdout.write("Final output = {}\n".format(
                        test_output))
                else:
                    sys.stdout.write("Transform removed all alleles\n")
            else:
                sys.stdout.write("No changes applied\n")
                sys.stdout.write("Final output = {}\n".format(args.test))
        sys.exit()
    ## MAIN MODE
    ## Set up file handler
    outmvf = MultiVariantFile(args.out, 'write', overwrite=args.overwrite)
    outmvf.metadata = deepcopy(mvf.metadata)
    ### reprocess header if actions are used that filter columns
    if any(x == y[0] for x in ('columns', 'collapsepriority')
           for y in actionset):
        labels = outmvf.metadata['labels'][:]
        for actionname, actiontype, actionfunc, actionarg in actionset:
            if actionname == 'columns':
                labels = [labels[x] for x in actionarg]
            elif actionname == 'collapsepriority':
                labels = [labels[x] for x in xrange(len(labels))
                          if x not in actionarg[1:]]
        oldindicies = mvf.get_sample_indices(labels)
        newsamples = {}
        for i, _ in enumerate(labels):
            newsamples[i] = mvf.metadata['samples'][oldindicies[i]]
        outmvf.metadata['samples'] = newsamples.copy()
        outmvf.metadata['labels'] = labels[:]
    outmvf.write_data(outmvf.get_header())
    ## End header editing
    linebuffer = []
    nbuffer = 0
    for chrom, pos, allelesets in mvf.iterentries(decode=False):
        linefail = False
        transformed = False
        #invar = invariant (single character)
        #refvar (all different than reference, two chars)
        #onecov (single coverage, + is second character)
        #onevar (one variable base, + is third character)
        #full = full alleles (all chars)
        alleles = allelesets[0]
        linetype = get_linetype(alleles)
        if linetype == 'empty':
            continue
        if args.verbose:
            sys.stdout.write(" {} {}".format(alleles, linetype))
        for actionname, actiontype, actionfunc, actionarg in actionset:
            if actiontype == 'filter':
                if not actionfunc(alleles, linetype):
                    linefail = True
            elif actiontype == 'transform':
                transformed = True
                alleles = actionfunc(alleles, linetype)
                linetype = get_linetype(alleles)
                if linetype == 'empty':
                    linefail = True
            elif actiontype == 'location':
                if not actionfunc([chrom, pos]):
                    linefail = True
            if linefail:
                break
        if not linefail:
            if transformed:
                if linetype == 'full':
                    alleles = mvf.encode(alleles)
                if not alleles:
                    linefail = True
        if not linefail:
            nbuffer += 1
            linebuffer.append((chrom, pos, (alleles,)))
            if args.verbose:
                sys.stdout.write("{}\n".format(alleles))
            if nbuffer == args.linebuffer:
                outmvf.write_entries(linebuffer)
                linebuffer = []
                nbuffer = 0
        elif args.verbose:
            sys.stdout.write("FAIL\n")
    if linebuffer:
        outmvf.write_entries(linebuffer)
        linebuffer = []
    if not args.quiet:
        print("Completed in {} seconds".format(time() - time0))
    return ''
示例#2
0
文件: mvf_join.py 项目: wum5/mvftools
def main(arguments=sys.argv[1:]):
    """Main method for mvf_join"""
    parser = argparse.ArgumentParser(description="""
        MVF joining both veritically (separate contigs) and
        and horizontally (different samples)""")
    parser.add_argument("mvf", nargs="*", help="one or more mvf files")
    parser.add_argument("--out", help="output mvf file")
    parser.add_argument("--newcontigs", action="store_true",
                        help="Don't match contigs using labels (not IDs)")
    parser.add_argument("--newsamples", action="store_true",
                        help="Don't match samples using labels")
    parser.add_argument("--linebuffer", type=int, default=100000,
                        help="number of entries to write in a block")
    parser.add_argument("--main_header_file",
                        help="""name of MVF file to use the headers from
                                (default=first in list)""")
    parser.add_argument("--overwrite", action="store_true",
                        help="USE WITH CAUTION: force overwrite of outputs")
    parser.add_argument("--quiet", action="store_true",
                        help="suppress progress meter")
    parser.add_argument("-v", "--version", action="store_true",
                        help="display version information")
    args = parser.parse_args(args=arguments)
    if args.version:
        print("Version 2015-02-01: Initial Public Release")
        sys.exit()
    concatmvf = MultiVariantFile(args.out, 'write', overwrite=args.overwrite)
    ## Copy the first file's metadata
    if args.main_header_file:
        if args.main_header_file not in args.mvf:
            raise RuntimeError("{} not found in files".format(
                args.main_header_file))
        else:
            args.main_header_file = args.mvf.index(args.main_header_file)
    else:
        args.main_header_file = 0
    first_mvf = MultiVariantFile(args.mvf[args.main_header_file], 'read')
    concatmvf.metadata = first_mvf.metadata.copy()
    ## Open each MVF file, read headers to make unified header
    transformers = []
    for mvfname in args.mvf:
        ## This will create a dictionary of samples{old:new}, contigs{old:new}
        transformer = MvfTransformer()
        mvf = MultiVariantFile(mvfname, 'read')
        for i, label in enumerate(mvf.get_sample_labels()):
            if label not in concatmvf.get_sample_labels():
                concatmvf.metadata['labels'].append(label)
                concatmvf.metadata['samples'][
                    concatmvf.metadata['labels'].index(label)] = {
                        'label': label}
            if concatmvf.metadata['labels'].index(label) != i:
                transformer.set_label(
                    i, concatmvf.metadata['labels'].index(label))
        for contigid, contigdata in mvf.metadata['contigs'].iteritems():
            if contigdata['label'] not in [
                    concatmvf.metadata['contigs'][x]['label']
                    for x in concatmvf.metadata['contigs']]:
                newid = (contigid not in concatmvf.metadata['contigs']
                         and contigid or concatmvf.get_next_contig_id())
                concatmvf.metadata['contigs'][newid] = contigdata
            else:
                for concatid, concatdata in (
                        concatmvf.metadata['contigs'].items()):
                    if contigdata['label'] == concatdata['label']:
                        newid = concatid
                        break
            if newid != contigid:
                transformer.set_contig(contigid, newid)
        transformers.append(transformer)
    ## Write output header
    concatmvf.write_data(concatmvf.get_header())
    ## Now loop through each file
    entries = []
    nentries = 0
    for ifile, mvfname in enumerate(args.mvf):
        if not args.quiet:
            sys.stderr.write("Processing {} ...\n".format(mvfname))
        transformer = transformers[ifile]
        mvf = MultiVariantFile(mvfname, 'read')
        for contigid, pos, allelesets in mvf.iterentries(decode=False,
                                                         quiet=args.quiet):
            if transformer.labels:
                allelesets = [mvf.decode(x) for x in allelesets]
                for j, alleles in enumerate(allelesets):
                    allelesets[j] = concatmvf.encode(''.join([
                        x in transformer.labels
                        and alleles[transformer.labels[x]] or alleles[x]
                        for x in xrange(len(alleles))]))
            if transformer.contigs:
                contigid = (contigid in transformer['contigs']
                            and transformer['contigs'][contigid]
                            or contigid)
            entries.append((contigid, pos, allelesets))
            nentries += 1
            if nentries == args.linebuffer:
                concatmvf.write_entries(entries)
                entries = []
                nentries = 0
        if entries:
            concatmvf.write_entries(entries)
            entries = []
            nentries = 0
        if not args.quiet:
            sys.stderr.write("done\n")
    return ''