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#! /usr/bin/env python
import os
import argparse
import collections
import sys
from pickle import load, dump
import sourmash_lib.signature
import lca_json # from
LCA_DBs = ['db/delmont.lca.json', 'db/tully.lca.json',
#LCA_DBs = ['db/tully.lca.json']
THRESHOLD=5 # how many counts of a taxid at min
want_taxonomy = ['superkingdom', 'phylum', 'order', 'class', 'family', 'genus', 'species']
# Bacteria, cellular organisms, Archaea
DEPRECATED_LCA_to_remove = set({ 2, 131567, 2157 })
def traverse_find_sigs(dirnames):
Find all the filenames ending with .sig under given directories.
for dirname in dirnames:
for root, dirs, files in os.walk(dirname):
for name in files:
if name.endswith('.sig'):
fullname = os.path.join(root, name)
yield fullname
def load_all_signatures(dirname, ksize):
Load all signatures under given dirname with given ksize, return
dictionary d[name] -> signature.
Because this can be slow for many hundreds of signatures, cache dict
using pickle.
sigd = {}
filename_d = {}
pickle_cache = dirname.rstrip('/') + '.pickle'
if os.path.exists(pickle_cache):
print('loading from cache:', pickle_cache)
with open(pickle_cache, 'rb') as fp:
filename_d, sigd = load(fp)
loaded_new = False
n = 0
for filename in traverse_find_sigs([dirname]):
if filename not in filename_d:
loaded_new = True
sig = sourmash_lib.signature.load_one_signature(filename,
filename_d[filename] = 1
sigd[] = sig
n += 1
if loaded_new:
print('saving to cache:', pickle_cache)
with open(pickle_cache, 'wb') as fp:
dump((filename_d, sigd), fp)
return sigd
def main():
p = argparse.ArgumentParser()
p.add_argument('-k', '--ksize', default=31, type=int)
args = p.parse_args()
# load all the LCA JSON files
lca_db_list = []
for lca_filename in LCA_DBs:
lca_db = lca_json.LCA_Database(lca_filename)
taxfoo, hashval_to_lca, _ = lca_db.get_database(args.ksize, SCALED)
lca_db_list.append((taxfoo, hashval_to_lca))
print('loading all signatures:', args.dir)
sigdict = load_all_signatures(args.dir, args.ksize)
print('...loaded {} signatures at k={}'.format(len(sigdict), args.ksize))
disagree_at = collections.defaultdict(int)
n = 0
for name, sig in sigdict.items():
taxid_set = collections.defaultdict(int)
for hashval in sig.minhash.get_mins():
this_hashval_taxids = set()
for (_, hashval_to_lca) in lca_db_list:
hashval_lca = hashval_to_lca.get(hashval)
if hashval_lca is not None:
this_hashval_lca = taxfoo.find_lca(this_hashval_taxids)
taxid_set[this_hashval_lca] += 1
abundant_taxids = [k for k in taxid_set if taxid_set[k] >= THRESHOLD]
if not abundant_taxids:
n += 1
ranks_found = collections.defaultdict(set)
for taxid in abundant_taxids:
d = taxfoo.get_lineage_as_dict(taxid)
for k, v in d.items():
found_disagree = False
for rank in reversed(want_taxonomy):
if len(ranks_found[rank]) > 1:
disagree_at[rank] += 1
found_disagree = True
if found_disagree:
print('{} has multiple LCA at rank \'{}\': {}'.format(name,
", ".join(ranks_found[rank])))
print('for', args.dir, 'found', len(sigdict), 'signatures;')
print('out of {} that could be classified, {} disagree at some rank.'.format(n, sum(disagree_at.values())))
for rank in want_taxonomy:
if disagree_at.get(rank):
print('\t{}: {}'.format(rank, disagree_at.get(rank, 0)))
if __name__ == '__main__':