def phylesystem_obj(self):
if self._phylesystem_obj is None:
if self._src_code == _GET_LOCAL:
self._phylesystem_obj = Phylesystem()
else:
self._phylesystem_obj = PhylesystemProxy(self.phylesystem_config)
return self._phylesystem_obj
def phylesystem_obj(self):
if self._phylesystem_obj is None:
if self._src_code == _GET_LOCAL:
self._phylesystem_obj = Phylesystem(
repos_dict=self._locals_repo_dict)
else:
self._phylesystem_obj = PhylesystemProxy(
self.phylesystem_config)
return self._phylesystem_obj
def testCachedValidation(self):
try:
# noinspection PyPackageRequirements
import dogpile.cache
except:
pass
else:
r = pathmap.get_test_repos()
p = Phylesystem(r)
nexson, sha = p.return_study('xy_10')
r = p.add_validation_annotation(nexson, sha)
cache_hits = p._cache_hits
r1 = p.add_validation_annotation(nexson, sha)
self.assertEqual(1 + cache_hits, p._cache_hits)
self.assertEqual(r, r1)
write_as_json(nexson, sys.stdout)
def testCachedValidation(self):
try:
import dogpile.cache
except:
pass
else:
r = pathmap.get_test_repos()
p = Phylesystem(r)
nexson, sha = p.return_study('xy_10')
r = p.add_validation_annotation(nexson, sha)
cache_hits = p._cache_hits
r1 = p.add_validation_annotation(nexson, sha)
self.assertEqual(1 + cache_hits, p._cache_hits)
self.assertEqual(r, r1)
import sys
from peyotl import write_as_json
write_as_json(nexson, sys.stdout)
mattype="fasta"
print study_id
'''
study_id = sys.argv[1]
tree_id = sys.argv[2]
seqaln = sys.argv[3]
mattype = sys.argv[4]
runname = sys.argv[5]
#Fixed values
E_VALUE_THRESH = 0.04
ott_ncbi = "../ott_ncbi" #TODO config file
Entrez.email = "*****@*****.**"
phy = Phylesystem()
n = phy.return_study(study_id)[0]
api_wrapper.study.get(study_id, tree=tree_id)
##This is a weird way to get the ingroup node, but I need the OTT ids anyhow.
m = extract_tree(n,
tree_id,
PhyloSchema('newick',
output_nexml2json='1.2.1',
content="tree",
tip_label="ot:ottId"),
subtree_id="ingroup")
otu_dict = gen_otu_dict(n)
ottids = []
for oid, o in otu_dict.items():
try:
from peyotl.phylesystem.git_workflows import acquire_lock_raise, \
commit_and_try_merge2master, \
delete_study, \
GitWorkflowError, \
merge_from_master
from peyotl.phylesystem.phylesystem_umbrella import Phylesystem
from peyotl.utility.input_output import read_as_json
import unittest
import codecs
import json
import copy
from peyotl.test.support import pathmap
from peyotl.utility import get_logger
_LOG = get_logger(__name__)
phylesystem = Phylesystem(pathmap.get_test_repos())
_MINI_PHYL_SHA1 = '2d59ab892ddb3d09d4b18c91470b8c1c4cca86dc'
_SID = 'xy_10'
_AUTH = {
'name': 'test_name',
'email': '*****@*****.**',
'login': '******',
}
class TestPhylesystemDel(unittest.TestCase):
def testDelStudy(self):
ga = phylesystem.create_git_action(_SID)
ga.acquire_lock()
try:
#!/usr/bin/env python
from peyotl.phylesystem.phylesystem_umbrella import Phylesystem
from peyotl.nexson_syntax import extract_tree_nexson
import sys
try:
phylsys = Phylesystem()
except Exception as e:
sys.stderr.write('count_trees.py: Exception: {}\n'.format(e.message))
sys.exit('count_trees.py: There was a problem creating a wrapper around your phylesystem ' \
'instance. Double check your configuration (see ' \
'http://opentreeoflife.github.io/peyotl/configuration/ for info).')
try:
print_freq = 500
num_trees = 0
num_studies = 0
max_trees_per_study = 0
biggest_study = None
studies_without_trees = []
sys.stderr.write('count_trees.py: beginning loop over studies...\n')
for study_id, nexson in phylsys.iter_study_objs():
num_studies += 1
try:
nt = len(extract_tree_nexson(nexson, tree_id=None))
except:
sys.stderr.write(
'Problem extracting trees from study {}'.format(study_id))
raise
if nt == 0:
studies_without_trees.append(study_id)
else:
num_trees += nt
def write_tree_list(outpath):
conflict_analyses = read_conflict_analyses()
trees_in_synthesis = read_synthesis_list()
taxa_in_synthesis = read_synthesis_taxa()
phylesystem = Phylesystem()
study_count = 0
tree_count = 0
preferred_count = 0
table = []
for study_id, nexson in phylesystem.iter_study_objs():
study_count += 1
nexml_el = nexson[u'nexml']
n_intended = 1
not_intended = nexml_el.get(u'^ot:notIntendedForSynthesis')
if not_intended == True:
n_intended = 0
else:
n_intended = 2
candidates = nexml_el.get(u'^ot:candidateTreeForSynthesis')
if candidates == None: candidates = []
tid_tree_otug = extract_tree_nexson(nexson, tree_id=None)
for (tree_id, tree, otu_group) in tid_tree_otug:
tree_count += 1
row = Row()
# otu_group = otu_groups[ogi]['otuById']
long_id = '%s@%s' % (study_id, tree_id)
row.id = long_id
row.n_intended = n_intended # per study
if len(candidates) == 0: # No selection(s) made
if len(tid_tree_otug) == 1:
n_preferred = 2 # Only one tree; use it
else:
n_preferred = 1 # More than one tree; decision required
else:
if tree_id in candidates:
preferred_count += 1
n_preferred = 2 # This is a preferred tree; use it
else:
n_preferred = 0 # Not preferred, another is; do not use
row.n_preferred = n_preferred
ctype = tree.get('^ot:curatedType')
n_ctype = 0
if ctype != None and ctype != '':
n_ctype = 1
row.n_ctype = n_ctype
# whether a curator has confirmed the root
root = tree.get('^ot:specifiedRoot')
root_confirmed = 0
if root != None and root != '':
root_confirmed = 1
row.root_confirmed = root_confirmed
row.n_synth = 1 if long_id in trees_in_synthesis else 0
ingroup_node_id = tree.get('^ot:inGroupClade')
row.n_ingroup = (1 if (ingroup_node_id != None) else 0)
(row.tip_count, row.ott_count, row.new_count) = \
examine_tree(tree, otu_group, ingroup_node_id, taxa_in_synthesis)
row.conflict_count = 0
row.resolve_count = 0
analysis = conflict_analyses.get(long_id)
if analysis != None:
row.conflict_count = int(analysis[1])
row.resolve_count = int(analysis[2])
row.score = ((row.new_count + row.resolve_count) -
(row.conflict_count * 20) + (row.n_ingroup * 10) +
(row.n_preferred * 50) + (row.n_intended * 100))
table.append(row)
if tree_count % 500 == 0:
print tree_count, long_id, ctype
table.sort(key=lambda row: (
-row.score,
row.n_intended == 0, # whether intended for synthesis
-row.n_preferred, # whether preferred
-row.n_ingroup, # whether ingroup is designated
row.conflict_count, # number of synth tree conflicts
-row.new_count, # number of OTUs mapped to OTT
-row.n_ctype, # whether there's a 'curated type'
-row.tip_count, # total number of tips (for comparison)
))
with codecs.open(outpath, 'w', encoding='utf-8') as outfile:
writer = csv.writer(outfile)
writer.writerow([
'tree', 'intended', 'preferred', 'has ingroup', 'has method',
'root confirmed', 'in synth', '#tips', '#mapped', '#new',
'#resolved', '#conflicts', 'score'
])
for row in table:
writer.writerow([
row.id, row.n_intended, row.n_preferred, row.n_ingroup,
row.n_ctype, row.root_confirmed, row.n_synth, row.tip_count,
row.ott_count, row.new_count, row.resolve_count,
row.conflict_count, row.score
])
print 'studies:', study_count
print 'trees:', tree_count
print 'preferred:', preferred_count
