#!/usr/bin/env python

### Program: listAllGenomesInDirectory.py
### Author: Rauf Salamzade
### Kalan Lab
### UW Madison, Department of Medical Microbiology and Immunology

# BSD 3-Clause License
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# Copyright (c) 2021, Kalan-Lab
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import os
import argparse
import sys


def create_parser():
    """ Parse arguments """
    parser = argparse.ArgumentParser(description="""
	Program: listAllGenomesInDirectory.py
	Author: Rauf Salamzade
	Affiliation: Kalan Lab, UW Madison, Department of Medical Microbiology and Immunology

	Program to create genomic listing file needed for lsaBGC-Ready.py. Provided a directory 
	with genomes, such as those generated by ncbi-genome-download, it will create a two-column, 
	tab-delimited listing file where the first column is the sample name and the second is the 
	full path to the genomic assembly in FASTA or Genbank format. It will recursively search so they 
	do not need to be in the main level of the directory structure. 
	
	If --list_cmds is specified together with other complementary option
	
	""", formatter_class=argparse.RawTextHelpFormatter)

    parser.add_argument('-i', '--input_genomes_dir', help='Path to genomic assembly in FASTA/Genbank format.', required=True)
    parser.add_argument('-z', '--uncompress', action='store_true', help='Whether to uncompress genomes files.', required=False, default=False)
    parser.add_argument('-u', '--uncompress_dir', help='Path to temporary directory where to unzip genomic assembly files if requested and update paths listed accordingly.', required=False, default='./Uncompressed_Genomes/')
    parser.add_argument('-l', '--list_cmds', action='store_true', help='List BGC commands instead of producing a sample to genome mapping file needed for input into lsaBGC-Ready.py.', required=False, default=False)
    parser.add_argument('-o', '--bgc_prediction_dir', help='Path to output directory to list for BGC prediction output.', default='./BGC_Predictions/', required=False)
    parser.add_argument('-p', '--bgc_prediction_software', help='Software used to predict BGCs (Options: antiSMASH, DeepBGC, GECCO).\nDefault is antiSMASH.', default='antiSMASH', required=False)
    parser.add_argument('-c', '--cpus', help='Number of cpus to specify per job.', required=False, default=4)
    parser.add_argument('-t', '--taxon', help='Taxon class to provide BGC prediction software, e.g. antiSMASH. Options: bacteri, fungi. Default: bacteria', default="bacteria", required=False)
    parser.add_argument('-d', '--dryrun_naming_file', help='Results from running ncbi-genome-download in dry-run mode to use for sample naming.', required=False, default=None)
    args = parser.parse_args()
    return args

def siftAndPrint():
    """
    Void function which runs primary workflow for program.
    """

    """
    PARSE INPUTS
    """
    myargs = create_parser()

    input_genomes_dir = os.path.abspath(myargs.input_genomes_dir) + '/'
    uncompress_flag = myargs.uncompress
    uncompress_dir = os.path.abspath(myargs.uncompress_dir) + '/'
    bgc_prediction_dir = os.path.abspath(myargs.bgc_prediction_dir) + '/'
    list_cmds_flag = myargs.list_cmds
    bgc_prediction_software = myargs.bgc_prediction_software.upper()
    cpus = myargs.cpus
    taxon = myargs.taxon.lower()
    dryrun_naming_file = myargs.dryrun_naming_file

    genome_id_to_sample_name = {}
    if dryrun_naming_file != None:
        try:
            assert(os.path.isfile(dryrun_naming_file))
        except:
            raise RuntimeError('Cannot locate the ncbi-genome-download dryrun naming file provided.')

    try:
        assert (os.path.isdir(input_genomes_dir))
    except:
        raise RuntimeError('Cannot find input directory of genomes directory.')

    try:
        assert(os.path.isdir(uncompress_dir))
    except:
        os.system('mkdir %s' % uncompress_dir)
        try:
            assert(os.path.isdir(uncompress_dir))
        except:
            raise RuntimeError('Cannot find/create directory for uncompressing genomes.')

    try:
        assert(os.path.isdir(bgc_prediction_dir))
    except:
        if list_cmds_flag:
            os.system('mkdir %s' % bgc_prediction_dir)
            try:
                assert(os.path.isdir(bgc_prediction_dir))
            except:
                raise RuntimeError('Cannot find/create output directory for BGC prediction commands.')

    try:
        assert (bgc_prediction_software in set(['ANTISMASH', 'DEEPBGC', 'GECCO']))
    except:
        raise RuntimeError('BGC prediction software option is not a valid option.')

    try:
        assert (taxon in set(['bacteria', 'fungi']))
    except:
        raise RuntimeError('Taxon is not a valid option.')

    """
    START WORKFLOW
    """

    genome_id_to_sample_name = {}
    if dryrun_naming_file:
        with open(dryrun_naming_file) as odnf:
            for line in odnf:
                line = line.strip()
                sample_name = '_'.join(line.split())
                genome_id = line.split()[0]
                genome_id_to_sample_name[genome_id] = sample_name

    sample_to_genome = {}
    any_file_gzipped = False
    for dirpath, dirnames, files in os.walk(input_genomes_dir):
        for f in files:
            suffix = f.split('.')[-1]
            gzip_flag = False
            if suffix == 'gz':
                suffix = f.split('.')[-2] + '.gz'
                gzip_flag = True
                any_file_gzipped = True
            if not suffix in set(['fasta', 'fna', 'fa', 'gbff', 'fasta.gz', 'fna.gz', 'fa.gz', 'gbff.gz', 'gbk', 'gbk.gz']):
                sys.stderr.write('Warning, skipping file: %s, does not appear to have suffix expected of nucleotide FASTA files.\n' % f)
            else:
                sample = '.'.join(f.split('.')[:-1])
                if gzip_flag:
                    sample = '.'.join(f.split('.')[:-2])
                if sample.endswith('_genomic'):
                    sample = sample.split('_genomic')[0]
                full_file_name = dirpath + '/' +  f
                if sample in sample_to_genome:
                    sys.stderr.write('Warning, sample %s has more than one genome, skipping second instance' % sample)
                else:
                    sample_to_genome[sample] = full_file_name

    if (uncompress_flag or list_cmds_flag) and any_file_gzipped:
        for sample in sample_to_genome:
            genome_file = sample_to_genome[sample]
            if genome_file.endswith('.gz'):
                uncompressed_genome_file = uncompress_dir + genome_file.split('/')[-1].split('.gz')[0]
                os.system('cp %s %s' % (genome_file, uncompress_dir))
                os.system('gunzip %s' % uncompressed_genome_file + '.gz')
                try:
                    assert(os.path.isfile(uncompressed_genome_file))
                except:
                    raise RuntimeError('Had issues creating uncompressed genome %s for sample %s' % (uncompressed_genome_file, sample))
                sample_to_genome[sample] = uncompressed_genome_file

    for sample in sample_to_genome:
        genome_file = sample_to_genome[sample]
        if dryrun_naming_file != None:
            genome_id = '_'.join(genome_file.split('/')[-1].split('_')[:2])
            sample = genome_id_to_sample_name[genome_id]
        sample = sample.replace('#', '').replace('*', '_').replace(':', '_').replace(';', '_').replace(' ', '_').replace(':', '_').replace('|', '_').replace('"', '_').replace("'", '_').replace("=", "_").replace('-', '_').replace('(', '').replace(')', '').replace('/', '').replace('\\', '').replace('[', '').replace(']', '').replace(',', '')
        if list_cmds_flag:
            bgc_cmd = None
            if bgc_prediction_software == 'ANTISMASH':
                gene_finding = 'prodigal'
                if taxon == 'fungi':
                    gene_finding = 'glimmerhmm'
                if genome_file.endswith('.gbff.gz') or genome_file.endswith('.gbk.gz') or genome_file.endswith('.gbk') or genome_file.endswith('.gbff'):
                    gene_finding = 'none'
                bgc_cmd = ['antismash', '--taxon', taxon, '--output-dir', bgc_prediction_dir + sample + '/', '-c',
                           str(cpus), '--genefinding-tool', gene_finding, '--output-basename', sample, genome_file]
            elif bgc_prediction_software == 'DEEPBGC':
                bgc_cmd = ['deepbgc', 'pipeline', '--output', bgc_prediction_dir + sample + '/', genome_file]
            elif bgc_prediction_software == 'GECCO':
                if taxon == 'fungi':
                    raise RuntimeError("Not recommended to run GECCO with fungal genomes.")
                bgc_cmd = ['gecco', 'run', '-j', str(cpus), '-o', bgc_prediction_dir + sample + '/', '-g', genome_file]
            print(' '.join(bgc_cmd))
        else:
            print(sample + '\t' + genome_file)

if __name__ == '__main__':
    siftAndPrint()
