# SeqMap
# Seq workshop -- Section 3
# Reads index constructed in Section 2 and looks up k-mers from
# input reads to find candidate mappings.
# Usage: seqc run section3.seq <FASTA path> <FASTQ path>
from sys import argv
from bio import *
import pickle
import gzip

K: Static[int] = 32
index = None

with gzip.open(argv[1] + '.index', 'rb') as jar:
    index = pickle.load(jar, T=Dict[Kmer[K],int])

candidates = {}  # position -> count mapping
for record in FASTQ(argv[2]):
    for pos,kmer in record.read.kmers_with_pos(k=K, step=1):
        found = index.get(min(kmer, ~kmer), -1)
        if found > 0:
            loc = found - pos
            candidates[loc] = candidates.get(loc, 0) + 1

    for pos,count in candidates.items():
        if count > 1:
            print(record.name, pos + 1)

    candidates.clear()