#!/bin/bash -euo pipefail
python -u /usr/local/src/CTAT-SPLICING/STAR_to_cancer_introns.py \
    --SJ_tab_file SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.SJ.out.tab \
    --chimJ_file SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.Chimeric.out.junction \
    --bam_file SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.Aligned.sortedByCoord.out.bam \
    --output_prefix SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1 \
    --ctat_genome_lib ctat_genome_lib_build_dir \
    --vis --sample_name SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1

# Sort output files to ensure consistent ordering across runs while preserving headers
if [ -f SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns ]; then
    # Extract header (first line) and sort data lines by fourth column (uniq_mapped) descending, then by first column (intron)
    head -n 1 SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns > SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns.tmp
    tail -n +2 SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns | LC_ALL=C sort -k4,4nr -k1,1 >> SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns.tmp
    mv SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns.tmp SK-BR-3_FFPE_01_RNA_0001_B23LG7FLT4_1.cancer.introns
fi

cat <<-END_VERSIONS > versions.yml
"NFCORE_RNAFUSION:RNAFUSION:CTATSPLICING_STARTOCANCERINTRONS":
    ctat-splicing: 0.0.3
END_VERSIONS