#!/opt/conda/conda-bld/biocode_1660685443970/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/bin/python

import argparse
import re

from biocode import gff, things

'''
This script converts native (GTF) or GFF output (via the --gff3 option) of Augustus
into GFF3 format.

Admittedly, when you run augustus with --gff3=on you will get legal GFF3 with lots of
comments.  What I often need is GFF3 that also follows the gene model graph conventions
defined in the GFF3, which the default output does not.  There are no exon or mRNA
features, for example.

This script reads the native GFF output and makes it conform to the suggested canonical
gene model, defined here:

http://www.sequenceontology.org/gff3.shtml

WARNING: The augustus output format appears to change pretty frequently.  I've provided
an example of the expected input below, and the versions I tested with are 2.7, 3.0.1 and 3.3

WARNING: Only the gene/transcript/CDS rows are kept (and exon rows are created).  All
others are discarded.

EXPECTED INPUT example:

###
# start gene g2
FO082871        AUGUSTUS        gene    16991   18816   0.04    +       .       ID=g2
FO082871        AUGUSTUS        transcript      16991   18816   0.04    +       .       ID=g2.t1;Parent=g2
FO082871        AUGUSTUS        transcription_start_site        16991   16991   .       +       .       Parent=g2.t1
FO082871        AUGUSTUS        five_prime_utr  16991   17193   0.04    +       .       Parent=g2.t1
FO082871        AUGUSTUS        start_codon     17194   17196   .       +       0       Parent=g2.t1
FO082871        AUGUSTUS        intron  17317   17557   0.15    +       .       Parent=g2.t1
FO082871        AUGUSTUS        CDS     17194   17316   0.15    +       0       ID=g2.t1.cds;Parent=g2.t1
FO082871        AUGUSTUS        CDS     17558   17647   0.15    +       0       ID=g2.t1.cds;Parent=g2.t1
FO082871        AUGUSTUS        stop_codon      17645   17647   .       +       0       Parent=g2.t1
FO082871        AUGUSTUS        three_prime_utr 17648   18816   0.07    +       .       Parent=g2.t1
FO082871        AUGUSTUS        transcription_end_site  18816   18816   .       +       .       Parent=g2.t1
# protein sequence = [MQDNYTDGQPGIHRAIAKLEAIINEVDQQLYDYLLERQIHLSPPSKYWEISDIDELVAKAYVCFYAGLCC]
# Evidence for and against this transcript:
# % of transcript supported by hints (any source): 80
# CDS exons: 2/2
#      W:   2 
# CDS introns: 0/1
# 5'UTR exons and introns: 1/1
#      W:   1 
# 3'UTR exons and introns: 1/1
#      W:   1 
# hint groups fully obeyed: 148
#      W: 148 
# incompatible hint groups: 11
#      W:  11 
# end gene g2

'''

def main():
    parser = argparse.ArgumentParser( description='Convert native (GTF) or GFF output from Augustus into GFF3 format')

    ## output file to be written
    parser.add_argument('-i', '--input', type=str, required=True, help='Path to a GFF file created by Augustus' )
    parser.add_argument('-o', '--output', type=str, required=True, help='Path to an output file to be created' )
    args = parser.parse_args()

    assemblies = dict()
    current_assembly = None
    
    gene = None
    mRNAs = dict()
    in_sequence = False
    current_sequence = None
    current_gene_comment_lines = list()

    ## Used for tracking the exon count for each gene (for ID purposes)
    exon_count_by_mRNA = dict()
    
    fout = open(args.output, mode='wt', encoding='utf-8')
    fout.write("##gff-version 3\n")

    for line in open(args.input):
        if line.startswith("#"):
            current_gene_comment_lines.append(line)
            
            if line.startswith("# end gene "):
                ## purge the comments, then write the gene
                fout.write( "".join(current_gene_comment_lines) )
                gene.print_as(fh=fout, source='AUGUSTUS', format='gff3')

                gene = None
                mRNAs = dict()
                in_sequence = False
                current_sequence = None
                current_gene_comment_lines = list()

            elif line.startswith("# protein sequence = ["):
                pass
            elif in_sequence is True:
                # build 'current_sequence'
                pass

        else:
            cols = line.split("\t")

            if len(cols) != 9:
                continue

            mol_id = cols[0]
            feat_type = cols[2]

            if feat_type not in ['gene', 'transcript', 'CDS']:
                continue

            ## The output format is GTF by default and (mostly) GFF if the --gff option is used.
            #   If GTF is detected, let's start by transforming the 9th column into GFF so the
            #   libraries can use it
            #   g1  ->  ID=g1
            #   g1.t1  ->  ID=g1.t1;Parent=g1
            #   transcript_id "g1.t1"; gene_id "g1";  ->  ID=g1.t1.cds;Parent=g1.t1
            m_gene = re.match('(g\d+)', cols[8])
            m_transcript = re.match('((g\d+).t\d+)', cols[8])
            m_CDS = re.match('transcript_id "(g\d+.t\d+)"; gene_id "g\d+";', cols[8])

            # the input can be in GTF or GFF.  We need to reformat the 9th column for the GTF entries
            if not cols[8].startswith('ID') and not cols[8].startswith('Parent'):
                if feat_type == 'gene':
                    if m_gene:
                        cols[8] = "ID={0}".format(m_gene.group(1))
                    else:
                        raise Exception("ERROR: GTF detected but gene row has bad 9th column format: {0}".format(cols[8]))
                elif feat_type == 'transcript':
                    if m_transcript:
                        cols[8] = "ID={0};Parent={1}".format(m_transcript.group(1), m_transcript.group(2))
                    else:
                        raise Exception("ERROR: GTF detected but transcript row has bad 9th column format: {0}".format(cols[8]))
                elif feat_type == 'CDS':
                    if m_CDS:
                        cols[8] = "ID={0}.cds;Parent={0}".format(m_CDS.group(1))
                    else:
                        raise Exception("ERROR: GTF detected but CDS row has bad 9th column format: {0}".format(cols[8]))

            feat_id = gff.column_9_value(cols[8], 'ID')

            ## initialize this assembly if we haven't seen it yet
            if mol_id not in assemblies:
                assemblies[mol_id] = things.Assembly(id=mol_id)

            current_assembly = assemblies[mol_id]

            if feat_type == "gene":
                gene = things.Gene(id=feat_id)
                gene.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )

            elif feat_type == "transcript":
                mRNA = things.mRNA(id=feat_id, parent=gene)
                mRNA.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
                gene.add_mRNA(mRNA)
                mRNAs[mRNA.id] = mRNA

                if feat_id in exon_count_by_mRNA:
                    raise Exception( "ERROR: two different mRNAs found with same ID: {0}".format(feat_id) )
                else:
                    exon_count_by_mRNA[feat_id] = 0
                    
            elif feat_type == "CDS":
                parent_id = gff.column_9_value(cols[8], 'Parent')

                ## sanity check that we've seen this parent
                if parent_id not in mRNAs:
                    raise Exception("ERROR: Found CDS column with parent ({0}) mRNA not yet in the file".format(parent_id))

                CDS = things.CDS(id=feat_id, parent=mRNAs[parent_id])
                CDS.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6], phase=int(cols[7]) )
                mRNA.add_CDS(CDS)
                
                ## exons weren't explicitly defined in the input file, so we need to derive new IDs for them
                exon_count_by_mRNA[parent_id] += 1
                exon_id = "{0}.exon{1}".format(parent_id, exon_count_by_mRNA[parent_id])
                
                exon = things.Exon(id=exon_id, parent=mRNAs[parent_id])
                exon.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
                mRNA.add_exon(exon)
        

if __name__ == '__main__':
    main()







