def test_binary_nary_tree():
factory = GraphFactory(31, 1e5, 4)
trees = {}
trees[2] = SBT(factory)
trees[5] = SBT(factory, d=5)
trees[10] = SBT(factory, d=10)
n_leaves = 0
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
for tree in trees.values():
tree.add_node(leaf)
to_search = leaf
n_leaves += 1
assert all([len(t.leaves()) == n_leaves for t in trees.values()])
results = {}
print('*' * 60)
print("{}:".format(to_search.metadata))
for d, tree in trees.items():
results[d] = {
str(s)
for s in tree.find(search_minhashes, to_search.data, 0.1)
}
print(*results[2], sep='\n')
assert results[2] == results[5]
assert results[5] == results[10]
def test_sbt_fsstorage():
factory = GraphFactory(31, 1e5, 4)
with utils.TempDirectory() as location:
tree = SBT(factory)
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
tree.add_node(leaf)
to_search = leaf
print('*' * 60)
print("{}:".format(to_search.metadata))
old_result = {str(s) for s in tree.find(search_minhashes,
to_search.data, 0.1)}
print(*old_result, sep='\n')
with FSStorage(os.path.join(location, '.fstree')) as storage:
tree.save(os.path.join(location, 'tree'), storage=storage)
tree = SBT.load(os.path.join(location, 'tree'), leaf_loader=SigLeaf.load)
print('*' * 60)
print("{}:".format(to_search.metadata))
new_result = {str(s) for s in tree.find(search_minhashes,
to_search.data, 0.1)}
print(*new_result, sep='\n')
assert old_result == new_result
assert os.path.exists(os.path.join(location, tree.storage.path))
assert os.path.exists(os.path.join(location, '.fstree'))
def test_tree_save_load(n_children):
factory = GraphFactory(31, 1e5, 4)
tree = SBT(factory, d=n_children)
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
tree.add_node(leaf)
to_search = leaf
print('*' * 60)
print("{}:".format(to_search.metadata))
old_result = {
str(s)
for s in tree.find(search_minhashes, to_search.data, 0.1)
}
print(*old_result, sep='\n')
with utils.TempDirectory() as location:
tree.save(os.path.join(location, 'demo'))
tree = SBT.load(os.path.join(location, 'demo'),
leaf_loader=SigLeaf.load)
print('*' * 60)
print("{}:".format(to_search.metadata))
new_result = {
str(s)
for s in tree.find(search_minhashes, to_search.data, 0.1)
}
print(*new_result, sep='\n')
assert old_result == new_result
def sbt_index(args):
from sourmash_lib.sbt import SBT, GraphFactory
from sourmash_lib.sbtmh import search_minhashes, SigLeaf
parser = argparse.ArgumentParser()
parser.add_argument('sbt_name', help='name to save SBT into')
parser.add_argument('signatures',
nargs='+',
help='signatures to load into SBT')
parser.add_argument('-k', '--ksize', type=int, default=None)
parser.add_argument('--traverse-directory', action='store_true')
parser.add_argument('-x', '--bf-size', type=float, default=1e5)
sourmash_args.add_moltype_args(parser)
args = parser.parse_args(args)
moltype = sourmash_args.calculate_moltype(args)
factory = GraphFactory(1, args.bf_size, 4)
tree = SBT(factory)
if args.traverse_directory:
inp_files = list(sourmash_args.traverse_find_sigs(args.signatures))
else:
inp_files = list(args.signatures)
notify('loading {} files into SBT', len(inp_files))
n = 0
ksizes = set()
moltypes = set()
for f in inp_files:
siglist = sig.load_signatures(f,
select_ksize=args.ksize,
select_moltype=moltype)
# load all matching signatures in this file
for ss in siglist:
ksizes.add(ss.estimator.ksize)
moltypes.add(sourmash_args.get_moltype(ss))
leaf = SigLeaf(ss.md5sum(), ss)
tree.add_node(leaf)
n += 1
# check to make sure we aren't loading incompatible signatures
if len(ksizes) > 1 or len(moltypes) > 1:
error('multiple k-mer sizes or molecule types present; fail.')
error('specify --dna/--protein and --ksize as necessary')
error('ksizes: {}; moltypes: {}', ", ".join(map(str, ksizes)),
", ".join(moltypes))
sys.exit(-1)
# did we load any!?
if n == 0:
error('no signatures found to load into tree!? failing.')
sys.exit(-1)
notify('loaded {} sigs; saving SBT under "{}"', n, args.sbt_name)
tree.save(args.sbt_name)
def test_simple(n_children):
factory = GraphFactory(5, 100, 3)
root = SBT(factory, d=n_children)
leaf1 = Leaf("a", factory())
leaf1.data.count('AAAAA')
leaf1.data.count('AAAAT')
leaf1.data.count('AAAAC')
leaf2 = Leaf("b", factory())
leaf2.data.count('AAAAA')
leaf2.data.count('AAAAT')
leaf2.data.count('AAAAG')
leaf3 = Leaf("c", factory())
leaf3.data.count('AAAAA')
leaf3.data.count('AAAAT')
leaf3.data.count('CAAAA')
leaf4 = Leaf("d", factory())
leaf4.data.count('AAAAA')
leaf4.data.count('CAAAA')
leaf4.data.count('GAAAA')
leaf5 = Leaf("e", factory())
leaf5.data.count('AAAAA')
leaf5.data.count('AAAAT')
leaf5.data.count('GAAAA')
root.add_node(leaf1)
root.add_node(leaf2)
root.add_node(leaf3)
root.add_node(leaf4)
root.add_node(leaf5)
def search_kmer(obj, seq):
return obj.data.get(seq)
leaves = [leaf1, leaf2, leaf3, leaf4, leaf5]
kmers = ["AAAAA", "AAAAT", "AAAAG", "CAAAA", "GAAAA"]
def search_kmer_in_list(kmer):
x = []
for l in leaves:
if l.data.get(kmer):
x.append(l)
return set(x)
for kmer in kmers:
assert set(root.find(search_kmer, kmer)) == search_kmer_in_list(kmer)
print('-----')
print([x.metadata for x in root.find(search_kmer, "AAAAA")])
print([x.metadata for x in root.find(search_kmer, "AAAAT")])
print([x.metadata for x in root.find(search_kmer, "AAAAG")])
print([x.metadata for x in root.find(search_kmer, "CAAAA")])
print([x.metadata for x in root.find(search_kmer, "GAAAA")])
def test_simple_index(n_children):
factory = GraphFactory(5, 100, 3)
root = SBT(factory, d=n_children)
leaf1 = Leaf("a", factory())
leaf1.data.count("AAAAA")
leaf1.data.count("AAAAT")
leaf1.data.count("AAAAC")
leaf2 = Leaf("b", factory())
leaf2.data.count("AAAAA")
leaf2.data.count("AAAAT")
leaf2.data.count("AAAAG")
leaf3 = Leaf("c", factory())
leaf3.data.count("AAAAA")
leaf3.data.count("AAAAT")
leaf3.data.count("CAAAA")
leaf4 = Leaf("d", factory())
leaf4.data.count("AAAAA")
leaf4.data.count("CAAAA")
leaf4.data.count("GAAAA")
leaf5 = Leaf("e", factory())
leaf5.data.count("AAAAA")
leaf5.data.count("AAAAT")
leaf5.data.count("GAAAA")
root.add_node(leaf1)
root.add_node(leaf2)
root.add_node(leaf3)
root.add_node(leaf4)
root.add_node(leaf5)
def search_kmer(obj, seq):
return obj.data.get(seq)
kmers = ["AAAAA", "AAAAT", "AAAAG", "CAAAA", "GAAAA"]
linear = LinearIndex()
linear.insert(leaf1)
linear.insert(leaf2)
linear.insert(leaf3)
linear.insert(leaf4)
linear.insert(leaf5)
for kmer in kmers:
assert set(root.find(search_kmer,
kmer)) == set(linear.find(search_kmer, kmer))
print("-----")
print([x.metadata for x in root.find(search_kmer, "AAAAA")])
print([x.metadata for x in root.find(search_kmer, "AAAAT")])
print([x.metadata for x in root.find(search_kmer, "AAAAG")])
print([x.metadata for x in root.find(search_kmer, "CAAAA")])
print([x.metadata for x in root.find(search_kmer, "GAAAA")])
def test_longer_search(n_children):
ksize = 5
factory = GraphFactory(ksize, 100, 3)
root = SBT(factory, d=n_children)
leaf1 = Leaf("a", factory())
leaf1.data.count('AAAAA')
leaf1.data.count('AAAAT')
leaf1.data.count('AAAAC')
leaf2 = Leaf("b", factory())
leaf2.data.count('AAAAA')
leaf2.data.count('AAAAT')
leaf2.data.count('AAAAG')
leaf3 = Leaf("c", factory())
leaf3.data.count('AAAAA')
leaf3.data.count('AAAAT')
leaf3.data.count('CAAAA')
leaf4 = Leaf("d", factory())
leaf4.data.count('AAAAA')
leaf4.data.count('CAAAA')
leaf4.data.count('GAAAA')
leaf5 = Leaf("e", factory())
leaf5.data.count('AAAAA')
leaf5.data.count('AAAAT')
leaf5.data.count('GAAAA')
root.add_node(leaf1)
root.add_node(leaf2)
root.add_node(leaf3)
root.add_node(leaf4)
root.add_node(leaf5)
def kmers(k, seq):
for start in range(len(seq) - k + 1):
yield seq[start:start + k]
def search_transcript(node, seq, threshold):
presence = [node.data.get(kmer) for kmer in kmers(ksize, seq)]
if sum(presence) >= int(threshold * (len(seq) - ksize + 1)):
return 1
return 0
try1 = [x.metadata for x in root.find(search_transcript, "AAAAT", 1.0)]
assert set(try1) == set(['a', 'b', 'c', 'e']), try1 # no 'd'
try2 = [x.metadata for x in root.find(search_transcript, "GAAAAAT", 0.6)]
assert set(try2) == set(['a', 'b', 'c', 'd', 'e'])
try3 = [x.metadata for x in root.find(search_transcript, "GAAAA", 1.0)]
assert set(try3) == set(['d', 'e']), try3
def sbt_index(client, db, cell, query, ksize, nsketch, key, file):
'''Create a sequence Bloom tree from a cell/ database cursor.
1. select seqs for tree
2. assign common id (field derivative.minhash.sbt.ids)
3. minhash seqs, name == UUID, md5? (think about SBT reuse)
4. query a different collection/ metagenome against this
--index {raw, minhash}
input: all of cell or cursor
\b
$ zoo sbt_index --db ref --cell ref --ksize 16 --nsketch 1000 \
reference
Initialize SBT.
Compute minhash signatures for selected documents.
k-mer size: 16, sketch size: 1000
\ 9158 Elapsed Time: 0:01:45
Save SBT.
Done.
\b
$ sourmash sbt_search --ksize 16 reference survey.fa.sig
# running sourmash subcommand: sbt_search
loaded query: survey.fa... (k=16, DNA)
0.11 0ef85591-d464-4953-915f-f673907b7e8e (Zika reference genome)
TODO: add query
TODO: --key arg not working?
'''
c = MongoClient(client)[db][cell]
print('Initialize SBT.')
# init SBT
factory = GraphFactory(ksize=ksize, starting_size=1e5, n_tables=4)
# 4 .. nt?
tree = SBT(factory, d=2) # d .. see "n-ary " in notebook
print('Compute minhash signatures for selected documents.')
print('{}{}{}{}'.format(
'k-mer size: ', ksize, ', sketch size: ', nsketch
))
bar = ProgressBar(max_value=UnknownLength)
counter = 0
for d in c.find():
counter += 1
e = Estimators(ksize=ksize, n=nsketch)
e.add_sequence(d['sequence'], force=True)
s = SourmashSignature(email='', estimator=e, name=deep_get(d, key))
leaf = SigLeaf(metadata=deep_get(d, key), data=s)
tree.add_node(node=leaf)
bar.update(counter)
print('\nSave SBT.')
tree.save(file)
print('Done.')
def sbt_index(self, args):
from sourmash_lib.sbt import SBT, GraphFactory
from sourmash_lib.sbtmh import search_minhashes, SigLeaf
parser = argparse.ArgumentParser()
parser.add_argument('sbt_name')
parser.add_argument('signatures', nargs='+')
parser.add_argument('-k', '--ksize', type=int, default=DEFAULT_K)
parser.add_argument('--traverse-directory', action='store_true')
parser.add_argument('-x', '--bf-size', type=float, default=1e5)
sourmash_args.add_moltype_args(parser)
args = parser.parse_args(args)
if args.protein:
if args.dna is True:
raise Exception('cannot specify both --dna and --protein!')
args.dna = False
moltype = 'protein'
else:
args.dna = True
moltype = 'dna'
factory = GraphFactory(1, args.bf_size, 4)
tree = SBT(factory)
inp_files = list(args.signatures)
if args.traverse_directory:
inp_files = []
for dirname in args.signatures:
for root, dirs, files in os.walk(dirname):
for name in files:
if name.endswith('.sig'):
fullname = os.path.join(root, name)
inp_files.append(fullname)
print('loading {} files into SBT'.format(len(inp_files)))
n = 0
for f in inp_files:
s = sig.load_signatures(f, select_ksize=args.ksize,
select_moltype=moltype)
for ss in s:
leaf = SigLeaf(ss.md5sum(), ss)
tree.add_node(leaf)
n += 1
print('loaded {} sigs; saving SBT under "{}".'.format(n,
args.sbt_name))
tree.save(args.sbt_name)
def test_sbt_combine(n_children):
factory = GraphFactory(31, 1e5, 4)
tree = SBT(factory, d=n_children)
tree_1 = SBT(factory, d=n_children)
tree_2 = SBT(factory, d=n_children)
n_leaves = 0
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
tree.add_node(leaf)
if n_leaves < 4:
tree_1.add_node(leaf)
else:
tree_2.add_node(leaf)
n_leaves += 1
tree_1.combine(tree_2)
t1_leaves = {str(l) for l in tree_1.leaves()}
t_leaves = {str(l) for l in tree.leaves()}
assert len(t1_leaves) == n_leaves
assert len(t_leaves) == len(t1_leaves)
assert t1_leaves == t_leaves
to_search = next(signature.load_signatures(
utils.get_test_data(utils.SIG_FILES[0])))
t1_result = {str(s) for s in tree_1.find(search_minhashes,
to_search, 0.1)}
tree_result = {str(s) for s in tree.find(search_minhashes,
to_search, 0.1)}
assert t1_result == tree_result
# TODO: save and load both trees
# check if adding a new node will use the next empty position
next_empty = 0
for n, d in tree_1.nodes.items():
if d is None:
next_empty = n
break
if not next_empty:
next_empty = n + 1
tree_1.add_node(leaf)
assert tree_1.max_node == next_empty
def test_search_minhashes():
factory = GraphFactory(31, 1e5, 4)
tree = SBT(factory)
n_leaves = 0
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
tree.add_node(leaf)
to_search = next(iter(tree.leaves()))
# this fails if 'search_minhashes' is calc containment and not similarity.
results = tree.find(search_minhashes, to_search.data, 0.08)
for leaf in results:
assert to_search.data.similarity(leaf.data) >= 0.08
print(results)
def test_save_sparseness(n_children):
factory = GraphFactory(31, 1e5, 4)
tree = SBT(factory, d=n_children)
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
tree.add_node(leaf)
to_search = leaf
print('*' * 60)
print("{}:".format(to_search.metadata))
old_result = {
str(s)
for s in tree.find(search_minhashes, to_search.data, 0.1)
}
print(*old_result, sep='\n')
with utils.TempDirectory() as location:
tree.save(os.path.join(location, 'demo'), sparseness=1.0)
tree_loaded = SBT.load(os.path.join(location, 'demo'),
leaf_loader=SigLeaf.load)
assert all(not isinstance(n, Node) for n in tree_loaded.nodes.values())
print('*' * 60)
print("{}:".format(to_search.metadata))
new_result = {
str(s)
for s in tree_loaded.find(search_minhashes, to_search.data, 0.1)
}
print(*new_result, sep='\n')
assert old_result == new_result
for pos, node in list(tree_loaded.nodes.items()):
# Every parent of a node must be an internal node (and not a leaf),
# except for node 0 (the root), whose parent is None.
if pos != 0:
assert isinstance(tree_loaded.parent(pos).node, Node)
# Leaf nodes can't have children
if isinstance(node, Leaf):
assert all(c.node is None for c in tree_loaded.children(pos))
def test_sbt_ipfsstorage():
ipfsapi = pytest.importorskip('ipfsapi')
factory = GraphFactory(31, 1e5, 4)
with utils.TempDirectory() as location:
tree = SBT(factory)
for f in utils.SIG_FILES:
sig = next(signature.load_signatures(utils.get_test_data(f)))
leaf = SigLeaf(os.path.basename(f), sig)
tree.add_node(leaf)
to_search = leaf
print('*' * 60)
print("{}:".format(to_search.metadata))
old_result = {
str(s)
for s in tree.find(search_minhashes, to_search.data, 0.1)
}
print(*old_result, sep='\n')
try:
with IPFSStorage() as storage:
tree.save(os.path.join(location, 'tree'), storage=storage)
except ipfsapi.exceptions.ConnectionError:
pytest.xfail("ipfs not installed/functioning probably")
with IPFSStorage() as storage:
tree = SBT.load(os.path.join(location, 'tree'),
leaf_loader=SigLeaf.load,
storage=storage)
print('*' * 60)
print("{}:".format(to_search.metadata))
new_result = {
str(s)
for s in tree.find(search_minhashes, to_search.data, 0.1)
}
print(*new_result, sep='\n')
assert old_result == new_result
force=True)
db.ref.insert_one(r)
with open('ref.json', 'w+') as outjson:
outjson.write(dumps(db.ref.find(), indent=4))
from sourmash_lib import Estimators
from sourmash_lib.sbt import SBT, GraphFactory
from sourmash_lib.sbtmh import SigLeaf, search_minhashes
from sourmash_lib.signature import SourmashSignature
KSIZE = 16
N = 1000
# init SBT
factory = GraphFactory(ksize=KSIZE, starting_size=1e5, n_tables=4)
# 4 .. nt?
tree = SBT(factory, d=2) # d .. see "n-ary " in notebook
bar = progressbar.ProgressBar(max_value=progressbar.UnknownLength)
cursor = db.ref.find()
c = 0
for i in cursor:
key = deep_get(i, 'metadata.alt_id.gb')
seq = i['sequence'] # db.ref.find_one()['sequence'] # 'ACTG...'
e = Estimators(ksize=KSIZE, n=N)
e.add_sequence(seq, force=True) # e.get_hashes()
s = SourmashSignature(email='', estimator=e, name=key)
leaf = SigLeaf(metadata=key, data=s)
tree.add_node(node=leaf)