comparison add_taxonomic_labels.py @ 0:abd214795fa5 draft

planemo upload for repository https://github.com/Onnodg/Naturalis_NLOOR/tree/main/NLOOR_scripts/add_header_tool commit c944fd5685f295acba06679e85b67973c173b137

0:abd214795fa5

"""This script processes the output obtained from a curated BLAST database
and prepares the correct input format for downstream analysis.

The difference before and after running this script is that taxonomic labels
in the BLAST output are no longer marked as unknown, because the curated database
only includes taxonomy information in the headers of the output sequences.

To extract the correct taxonomy levels, it is necessary to know the exact
positions of the required taxonomic ranks. These positions must be specified
in the `--taxon_levels`, based on splitting each header string first on '=' and
then on whitespace.

Important:
This script is not needed for GenBank-based databases, since their output
is already usable.  
`--taxon_levels` is a critical variable — do not modify it unless you
understand what you're doing.
"""

import argparse

def parse_arguments(args_list=None):
    """Parse the command line arguments."""
    parser = argparse.ArgumentParser(description="Add taxonomix labels from curated database output")
    parser.add_argument("-i", "--input_file", required=True)
    parser.add_argument("-o", "--output_file", required=True)
    parser.add_argument("-t", "--taxon_levels", type=int, nargs="+", default=[1, 2, 4, 7, 11, 12, 13])
    return parser.parse_args(args_list)


def add_labels(input, output, taxon_levels):
    """
    Add taxonomic labels to BLAST output.

    :param input: Path to BLAST output file.
    :type input: str
    :param output: Path to output file.
    :type output: str
    :param taxon_levels: List of taxonomic levels.
    :type taxon_levels: list
    :return: None
    :rtype: None
    :raises: ValueError: if certain fields are missing from the input
    """
    # Make header in file
    with open(output, 'w') as outfile:
        outfile.write('#Query ID	#Subject	#Subject accession	#Subject Taxonomy ID	#Identity percentage	'
                      '#Coverage	#evalue	#bitscore	#Source	#Taxonomy\n')

    with open(input, 'r') as infile, open(output, 'a') as outfile:
        for line in infile:
            if "#Query ID" not in line:
                new_taxa = ''
                src_val = ""
                if "superkingdom=" in line and "markercode="  in line and "Genbank" in line:
                    taxonomy = line.split("superkingdom=")[-1].split("markercode=")[0].strip()
                    line = line.split("Genbank")[0].strip()
                    parts = line.strip().split()
                else:
                    raise ValueError("Line does not contain expected fields: superkingdom, markercode, or Genbank")

                for p in parts:
                    if p.startswith("source="):
                        src_val = p.split("=", 1)[1]  # only keep the value after '='
                        break # we only need to get the source once
                if src_val:
                    line = line.strip() + "\t" + src_val

                for level in taxon_levels:
                    if level != taxon_levels[-1]:
                        new_taxa += taxonomy.split('=')[level].split(' ')[0]
                        new_taxa += ' / '
                    else:
                        # The species name already contains a space, so it
                        # should not be split further.
                        new_taxa += taxonomy.split('=')[level]
                line += '\t'
                line += new_taxa
                outfile.write(f'{line}\n')


def main(arg_list=None):
    args = parse_arguments(arg_list)
    add_labels(args.input_file, args.output_file, args.taxon_levels)


if __name__ == '__main__':
    main()