def npokb():
index_graph = OntGraph(path=auth.get_path('ontology-local-repo') /
'ttl/generated/neurons/npokb-index.ttl')
if index_graph.path.exists():
index_graph.parse()
# testing
index_graph.bind('npokb', npokb)
#[index_graph.add((npokb[str(i)], rdf.type, owl.Class)) for i in range(1, 11)]
#[index_graph.add((npokb[str(i)], ilxtr.hasTemporaryId, TEMP[str(i)])) for i in range(1, 11)]
ios = []
for eff in ('common-usage-types', 'huang-2017', 'markram-2015',
'allen-cell-types'):
path = auth.get_path(
'ontology-local-repo') / f'ttl/generated/neurons/{eff}.ttl'
input_graph = OntGraph(path=path)
input_graph.parse()
output_graph = input_graph.mapTempToIndex(index_graph, npokb, TEMP)
ios.append((input_graph, output_graph))
input_graph, output_graph = ios[0]
a, r, c = output_graph.subjectsChanged(input_graph)
index_graph.write()
# [o.write() for i, o, in ios] # when ready
#from sparcur.paths import Path
#Path(index_graph.path).xopen()
breakpoint()
def main():
olr = auth.get_path('ontology-local-repo')
resources = auth.get_path('resources')
if not olr.exists():
raise FileNotFoundError(f'{olr} does not exist cannot continue')
if not resources.exists():
raise FileNotFoundError(f'{resources} does not exist cannot continue')
from docopt import docopt
args = docopt(__doc__, version='parcellation 0.0.1')
# import all ye submodules we have it sorted! LabelBase will find everything for us. :D
if not args['--local']:
from nifstd_tools.parcellation.aba import Artifacts as abaArts
from nifstd_tools.parcellation.fsl import FSL # Artifacts is attached to the class
from nifstd_tools.parcellation.whs import Artifacts as whsArts
from nifstd_tools.parcellation.berman import Artifacts as bermArts
from nifstd_tools.parcellation.paxinos import Artifacts as paxArts
from nifstd_tools.parcellation.swanson import Artifacts as swArts
from nifstd_tools.parcellation.freesurfer import Artifacts as fsArts
onts = getOnts()
_ = *(print(ont) for ont in onts),
out = build(*onts,
parcBridge,
fail=args['--fail'],
n_jobs=int(args['--jobs']))
if args['--stats']:
breakpoint()
def _get_oauth_service(api='sheets', version='v4', readonly=True, SCOPES=None):
""" Inner implementation for get oauth. If you see this function used directly
anywhere other than in googapis it is almost certainly a mistake. """
if readonly: # FIXME the division isn't so clean for drive ...
_auth_var = 'google-api-store-file-readonly'
else:
_auth_var = 'google-api-store-file'
try:
store_file = auth.get_path(_auth_var)
except KeyError as e:
_msg = (f'No value found for {_auth_var} in {auth._path}\n'
'See the previous error for more details about the cause.')
raise ValueError(_msg) from e
if store_file is None:
_p = 'RUNTIME_CONFIG' if auth._path is None else auth._path
# FIXME bad error message, need to check whether the key is even in
# the user config, and yes we need our way to update the user config
# and warn about unexpected formats for orthauth configs
msg = (f'No file exists at the path specified by {_auth_var} in {_p}')
log.debug(auth._runtime_config)
log.debug(auth.user_config._runtime_config)
raise ValueError(msg)
# TODO log which file it is writing to ...
if store_file.exists():
with open(store_file, 'rb') as f:
try:
creds = pickle.load(f)
except pickle.UnpicklingError as e:
# FIXME need better way to trace errors in a way
# that won't leak secrets by default
log.error(f'problem in file at path for {_auth_var}')
raise e
else:
creds = None
if SCOPES is None:
raise TypeError('SCOPES has not been set, possibly because this is\n'
'being called by a function that expects the store file\n'
'to already exist. Please run `googapis auth` with the\n'
'appropriate scope.')
if not creds or not creds.valid:
# the first time you run this you will need to use the --noauth_local_webserver args
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
creds_file = auth.get_path('google-api-creds-file')
flow = InstalledAppFlow.from_client_secrets_file((creds_file).as_posix(), SCOPES)
creds = flow.run_console()
with open(store_file, 'wb') as f:
pickle.dump(creds, f)
service = build(api, version, credentials=creds)
return service
def catalog_extras(fetch=False):
path = Path(auth.get_path('ontology-local-repo'), 'ttl')
cat = (path / 'catalog-v001.xml').as_posix()
with open((path / '../catalog-extras').as_posix(),
'rt') as ce, open(cat, 'rt') as c:
clines = c.readlines()
celines = ce.readlines()
if clines[-2] != celines[-1]:
with open(cat, 'wt') as f:
f.writelines(clines[:-1] + celines + clines[-1:])
else:
print(tc.blue('INFO:'),
'extras already added to catalog doing nothing')
if fetch:
print(tc.blue('INFO:'), 'fetching extras')
def fetch_and_save(url, loc):
resp = requests.get(url)
saveloc = (path / loc).as_posix()
if resp.ok:
with open(saveloc, 'wb') as f:
f.write(resp.content)
print(tc.blue('INFO:'), f'{url:<60} written to {loc}')
else:
print(tc.red('WARNING:'), f'failed to fetch {url}')
Async()(deferred(fetch_and_save)(url, loc) for line in celines
for _, _, _, url, _, loc, _ in (line.split('"'), ))
def default(self):
g = OntGraph().parse(
auth.get_path('ontology-local-repo') / 'ttl/stimulation.ttl')
preds = sorted(set(g.qname(p) for p in g.predicates()))
header = [[
'id', 'rdf:type', 'rdfs:domain', 'rdfs:range', 'rdfs:label',
'NIFRID:synonym', 'NIFRID:abbrev', 'definition:', 'editorNote:',
'rdfs:comment'
]]
_rows = []
for type_ in (
owl.ObjectProperty,
owl.Class,
):
for s in sorted(g[:rdf.type:type_], key=natsort):
if isinstance(s, rdflib.URIRef):
row = [g.qname(s), g.qname(type_)
] + [fun(g, s) for fun in funs]
_rows.append(row)
rows = header + _rows
defs = Defs(readonly=not self.options.update)
if self.options.update:
defs.upsert(*rows) # FIXME upsert broken on header reordering ?
defs.commit()
return rows
def test():
snchf = SnchFile.fromYaml('../test/sneech-file.yaml')
snchf.writeTtl(aug.RepoPath('../test/rando-sneech-ttl.ttl').resolve())
rp = aug.RepoPath(auth.get_path('ontology-local-repo'))
wrangler = SneechWrangler(aug.RepoPath('~/git/sneechenator').expanduser())
dir_snchn = wrangler.dir_process / 'test-sneechening'
if not dir_snchn.exists(): # FIXME bad workflow
dir_snchn.mkdir()
path_index = wrangler.path_index(snchf.index)
if not path_index.exists():
path_index = wrangler.new_index(
snchf.index) # FIXME move inside Sneechenator? or no
path_index.commit_from_working_tree(f'new index {snchf.index}')
org_index = OntResGit(path_index)
expanded = snchf.write(dir_snchn) # TODO commit
expanded.commit_from_working_tree(f'expanded snch file')
sncher = Sneechenator(org_index, snchf.namespaces, snchf.orgs)
#sncher.preSneechUpon(dir_snchn)
rg, maybe_sneeches = sncher.sneechReviewGraph()
# commit here I think ?
# consider using ilxtr.maybeHasIlxId ?
# TODO modified maybe_sneeches file + maybe list -> update list
breakpoint()
def main():
with open(auth.get_path('curies'), 'rt') as f:
curie_map = yaml.safe_load(f)
curie_map['nlx_only'] = curie_map[
''] # map nlx_only to 'http://uri.neuinfo.org/nif/nifstd/'
g = rdflib.Graph()
g.parse('http://ontology.neuinfo.org/NIF/ttl/NIF-Cell.ttl',
format='turtle')
curiespaces = {k: rdflib.Namespace(v) for k, v in curie_map.items()}
namespaces = {
c_prefix: rdflib.Namespace(iri_prefix)
for c_prefix, iri_prefix in g.namespaces()
}
subject = curiespaces['NIFCELL']['nifext_75']
predicate = None
object_ = None
matches = [t for t in g.triples((subject, predicate, object_))]
print(matches)
if matches:
predicate = matches[0][1].toPython()
print(predicate)
if __name__ == '__main__':
breakpoint()
class PaxSr_6(resSource):
sourceFile = auth.get_path('resources') / 'paxinos09names.txt'
artifact = Artifacts.PaxRat6
@classmethod
def loadData(cls):
with open(cls.source, 'rt') as f:
lines = [
l.rsplit('#')[0].strip() for l in f.readlines()
if not l.startswith('#')
]
return [l.rsplit(' ', 1) for l in lines]
@classmethod
def processData(cls):
structRecs = []
out = {}
for structure, abrv in cls.raw:
structRecs.append((abrv, structure))
if abrv in out:
out[abrv][0].append(structure)
else:
out[abrv] = ([structure], ())
return structRecs, out
@classmethod
def validate(cls, structRecs, out):
print(Counter(_[0] for _ in structRecs).most_common()[:5])
print(Counter(_[1] for _ in structRecs).most_common()[:5])
assert len(structRecs) == len([
s for sl, _ in out.values() for s in sl
]), 'There are non-unique abbreviations'
errata = {}
return out, errata
def main():
olr = auth.get_path('ontology-local-repo')
ori = OntResIri('http://purl.obolibrary.org/obo/doid.owl')
orp = OntResPath(olr / 'ttl/external/doid.owl')
ort = ori
g = ori.graph
query = """
SELECT DISTINCT ?s ?o ?l
WHERE {
?s a owl:Class .
?s rdfs:subClassOf* <http://purl.obolibrary.org/obo/DOID_4> .
?s rdfs:subClassOf ?o .
?s rdfs:label ?l .
}"""
res = list(g.query(query))
filt = [r for r in res if not isinstance(r[1], rdflib.BNode)]
spath = 'ttl/generated/doidslim.ttl'
go = OntGraph(path=olr / spath)
# TODO prov record like the one we have for chebi
go.bind('DOID', 'http://purl.obolibrary.org/obo/DOID_')
s = rdflib.URIRef('http://ontology.neuinfo.org/NIF/' + spath)
go.populate_from_triples(
((s, p, o) for p, o in
((rdf.type, owl.Ontology),
(rdfs.label, rdflib.Literal("NIF DOID slim")),)))
ds = rdflib.URIRef('http://purl.obolibrary.org/obo/DOID_4')
go.add((ds, rdf.type, owl.Class))
go.add((ds, rdfs.label, rdflib.Literal('disease')))
go.populate_from_triples(
(t for s, o, l in filt for t in
((s, rdf.type, owl.Class),
(s, rdfs.subClassOf, o),
(s, rdfs.label, l))))
go.write()
def main():
pi = PhenotypeIndicators()
trips = list(pi.triples)
#yield from PhenotypeIndicators().triples
g = pi.asGraph()
g.write(auth.get_path('ontology-local-repo') / f'ttl/{pi.name}.ttl')
def main():
#InterLexSneechenator()
test()
return
# testing
index_graph.bind('ILX', ILX)
#[index_graph.add((npokb[str(i)], rdf.type, owl.Class)) for i in range(1, 11)]
#[index_graph.add((npokb[str(i)], ilxtr.hasTemporaryId, TEMP[str(i)])) for i in range(1, 11)]
ios = []
for eff in ('phenotype-core.ttl', 'phenotypes.ttl'):
path = auth.get_path('ontology-local-repo') / eff
input_graph = OntGraph(path=path)
input_graph.parse()
output_graph = input_graph.mapTempToIndex(index_graph, ILX, ilxtr)
ios.append((input_graph, output_graph))
input_graph, output_graph = ios[0]
a, r, c = output_graph.subjectsChanged(input_graph)
index_graph.write()
# [o.write() for i, o, in ios] # when ready
#from sparcur.paths import Path
#Path(index_graph.path).xopen()
breakpoint()
def _todo(utr):
# real output
glb = auth.get_path('git-local-base')
uberon_edit = aug.RepoPath(
glb) / 'NOFORK/uberon/src/ontology/uberon-edit.obo'
of = oio.OboFile(path=uberon_edit, strict=False)
utr.submit_to_obofile(of, 'UBERON', uberon_id_range)
of.write(overwrite=True, version=oio.OBO_VER_ROBOT)
def ncbigenemapping(may_need_ncbigene_added):
#urlbase = 'https://www.ncbi.nlm.nih.gov/gene/?term=Mus+musculus+'
urlbase = ('https://www.ncbi.nlm.nih.gov/gene?term='
'({gene_name}[Gene%20Name])%20AND%20{taxon_suffix}[Taxonomy%20ID]&'
'report=xml')
urls = [urlbase.format(gene_name=n, taxon_suffix=10090) for n in may_need_ncbigene_added]
done2 = {}
for u in urls:
if u not in done2:
print(u)
done2[u] = requests.get(u)
base = auth.get_path('resources') / 'genesearch'
if not base.exists():
base.mkdir()
for resp in done2.values():
fn = OntId(resp.url).quoted
with open(base / fn, 'wb') as f:
f.write(resp.content)
so_much_soup = [(resp.url, BeautifulSoup(resp.content, 'lxml')) for resp in done2.values()]
trees = []
for i, (url, soup) in enumerate(so_much_soup):
pre = soup.find_all('pre')
if pre:
for p in pre[0].text.split('\n\n'):
if p:
tree = etree.fromstring(p)
trees.append((url, tree))
else:
print('WAT', urls[i])
dimension = 'ilxtr:hasExpressionPhenotype'
errors = []
to_add = []
mapping = {}
for url, tree in trees:
taxon = tree.xpath('//Org-ref//Object-id_id/text()')[0]
geneid = tree.xpath('//Gene-track_geneid/text()')[0]
genename = tree.xpath('//Gene-ref_locus/text()')[0]
if genename in may_need_ncbigene_added and taxon == '10090':
print(f'{genename} = Phenotype(\'NCBIGene:{geneid}\', {dimension!r}, label={genename!r}, override=True)')
to_add.append(geneid)
mapping[genename] = f'NCBIGene:{geneid}'
else:
errors.append((geneid, genename, taxon, url))
print(errors)
_ = [print('NCBIGene:' + ta) for ta in to_add]
#wat.find_all('div', **{'class':'rprt-header'})
#wat.find_all('div', **{'class':'ncbi-docsum'})
return mapping, to_add, errors
def fix_file(path):
with open(path, 'rt') as f:
sin = f.read()
sout = sin.replace(
'~/git/NIF-Ontology',
auth.get_path('ontology-local-repo').resolve().as_posix())
with open(path, 'wt') as f:
f.write(sout)
return sin
def _mis_graph(self):
""" for now easier to just get a fresh one, they are small """
glb = pauth.get_path('git-local-base')
olr = Path(glb / 'duplicates' / 'sparc-NIF-Ontology')
graph = (rdflib.ConjunctiveGraph()
.parse((olr / 'ttl/sparc-methods.ttl').as_posix(), format='turtle')
#.parse((olr / 'ttl/methods-core.ttl').as_posix(), format='turtle')
#.parse((olr / 'ttl/methods-helper.ttl').as_posix(), format='turtle')
#.parse((olr / 'ttl/methods.ttl').as_posix(), format='turtle')
)
return graph
def npokb_mapping():
index_graph = OntGraph(path=auth.get_path('ontology-local-repo') /
'ttl/generated/neurons/npokb-index.ttl')
if index_graph.path.exists():
index_graph.parse()
# testing
index_graph.bind('npokb', npokb)
#[index_graph.add((npokb[str(i)], rdf.type, owl.Class)) for i in range(1, 11)]
#[index_graph.add((npokb[str(i)], ilxtr.hasTemporaryId, TEMP[str(i)])) for i in range(1, 11)]
ios = []
for eff in (
'common-usage-types',
'huang-2017',
'markram-2015',
'allen-cell-types',
):
# FIXME if the index id is already being used it is still added as a temp id incorrectly
path = auth.get_path(
'ontology-local-repo') / f'ttl/generated/neurons/{eff}.ttl'
org = OntResGit(
path, ref='HEAD'
) # HEAD is default but just for clarity set it explicitly here
prev_graph = org.graph
input_graph = OntGraph(path=path)
input_graph.parse()
mapped_graph = input_graph.mapStableIdentifiers(
prev_graph, ilxtr.origLabel)
output_graph = mapped_graph.mapTempToIndex(index_graph, npokb, TEMP)
ios.append((mapped_graph, output_graph))
mapped_graph, output_graph = ios[0]
a, r, c = output_graph.subjectsChanged(mapped_graph)
index_graph.write()
[o.write() for i, o, in ios] # when ready
#from sparcur.paths import Path
#Path(index_graph.path).xopen()
breakpoint()
def scigraph_stress(rate,
timeout=5,
verbose=False,
debug=False,
scigraph=auth.get('scigraph-api')):
# TODO use the api classes
with open((auth.get_path('resources') / 'chebi-subset-ids.txt').as_posix(),
'rt') as f:
urls = [
os.path.join(scigraph, f'vocabulary/id/{curie.strip()}')
for curie in f.readlines()
]
print(urls)
url_blaster(urls, rate, timeout, verbose, debug)
class ChebiIdsSrc(Source):
source = auth.get_path('resources') / 'chebi-subset-ids.txt'
source_original = True
@classmethod
def loadData(cls):
ug = makeGraph('utilgraph', prefixes=uPREFIXES)
with open(cls.source, 'rt') as f:
ids_raw = set(_.strip() for _ in f.readlines())
ids = set(ug.expand(_.strip()).toPython() for _ in ids_raw)
return ids_raw, ids
@classmethod
def validate(cls, a):
return a
class HCPMMPSrc(resSource):
sourceFile = auth.get_path(
'resources') / 'human_connectome_project_2016.csv'
source_original = True
artifact = Artifacts.HCPMMP
@classmethod
def loadData(cls):
with open(cls.source, 'rt') as f:
return [r for r in csv.reader(f)][1:] # skip header
@classmethod
def processData(cls):
return cls.raw,
@classmethod
def validate(cls, d):
return d
def ncbigene_make():
IDS_FILE = auth.get_path('resources') / 'gene-subset-ids.txt'
with open(IDS_FILE.as_posix(), 'rt') as f: # this came from neuroNER
ids = [l.split(':')[1].strip() for l in f.readlines()]
#url = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?retmode=json&retmax=5000&db=gene&id='
#for id_ in ids:
#data = requests.get(url + id_).json()['result'][id_]
url = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi'
data = {
'db': 'gene',
'retmode': 'json',
'retmax': 5000,
'id': None,
}
chunks = []
for i, idset in enumerate(chunk_list(ids, 100)):
print(i, len(idset))
data['id'] = ','.join(idset),
resp = requests.post(url, data=data).json()
chunks.append(resp)
base = chunks[0]['result']
uids = base['uids']
for more in chunks[1:]:
data = more['result']
uids.extend(data['uids'])
base.update(data)
#base['uids'] = uids # i mean... its just the keys
base.pop('uids')
ng = createOntology(
'ncbigeneslim',
'NIF NCBI Gene subset',
makePrefixes('ilxtr', 'NIFRID', 'NCBIGene', 'NCBITaxon', 'skos', 'owl',
'SO'),
'ncbigeneslim',
f'This subset is automatically generated from the NCBI Gene database on a subset of terms listed in {IDS_FILE}.',
remote_base='http://ontology.neuinfo.org/NIF/')
for k, v in base.items():
#if k != 'uids':
ncbi(v, ng)
ng.write()
class WHSSDSrc(resSource):
sourceFile = lambda v: auth.get_path('resources'
) / f'WHS_SD_rat_atlas_v{v}.label'
source_original = True
artifact = lambda v: getattr(Artifacts, f'WHSSD{v}')
@classmethod
def loadData(cls):
with open(cls.source, 'rt') as f:
lines = [l.strip() for l in f.readlines() if not l.startswith('#')]
return [(l[:3].strip(), l.split('"', 1)[1].strip('"')) for l in lines]
@classmethod
def processData(cls):
return cls.raw,
@classmethod
def validate(cls, d):
return d
class WHSSDilfSrc(resSource):
sourceFile = lambda v: auth.get_path(
'resources') / f'WHS_SD_rat_atlas_v{v}_labels.ilf'
source_original = True
artifact = lambda v: getattr(Artifacts, f'WHSSD{v}')
predicates = lambda v: {
ilxtr.labelPartOf: ilxtr[f'labelPartOf-whssd-{v}']
} # FIXME
@classmethod
def loadData(cls):
tree = etree.parse(cls.source.as_posix())
return tree
@classmethod
def processData(cls):
tree = cls.raw
def recurse(label_node, parent=None):
name = label_node.get('name')
abbrev = label_node.get('abbreviation')
id = label_node.get('id')
yield id, name, abbrev, parent
for child in label_node.getchildren():
if child.tag == 'label':
yield from recurse(child, parent=id)
records = tuple()
for structure in tree.xpath('//structure'):
for lab in structure.getchildren():
if lab.tag == 'label':
records += tuple(recurse(lab, None))
return records,
@classmethod
def validate(cls, d):
return d
only = tuple()
skip = tuple()
ci_skip = tuple()
network_tests = ( # reminder that these only skip mains
'closed_namespaces',
'hierarchies',
'make_catalog',
'scig',
'scigraph_codegen',
['ontload', 'graph'],
['ontutils', 'deadlinks'],
['ontutils', 'version-iri'],
)
#requests.exceptions.SSLError
if auth.get_path('scigraph-services') is None:
skip += (
'scigraph_deploy',
) # this will fail # FIXME this should really only skip main not both main and import?
working_dir = get_working_dir(__file__)
if working_dir is None:
# python setup.py test will run from the module_parent folder
# I'm pretty the split was only implemented because I was trying
# to run all tests from the working_dir in one shot, but that has
# a number of problems with references to local vs installed packages
import inspect
sf = inspect.getsourcefile(pyontutils)
working_dir = Path(sf).parent.parent
else:
def main():
import rdflib
from pyontutils.core import makeGraph, makePrefixes, log
from pyontutils.config import auth
ub = auth.get_path('ontology-local-repo') / 'ttl/bridge/uberon-bridge.ttl'
ncrb = auth.get_path(
'ontology-local-repo') / 'ttl/NIF-Neuron-Circuit-Role-Bridge.ttl'
if not ub.exists() or not ncrb.exists():
# just skip this if we can't file the files
log.warning(f'missing file {ub} or {ncrb}')
return
graph = rdflib.Graph()
graph.parse(ub.as_posix(), format='turtle')
graph.parse(ncrb.as_posix(), format='ttl')
ecgraph = rdflib.Graph()
oec = EquivalentClass()
test = tuple(oec.parse(graph=graph))
ft = oc_.full_combinator(test[0][0], test[0][1])
ftng = makeGraph('thing3', prefixes=makePrefixes('owl', 'TEMP'))
*ft.serialize(ftng.g),
ftng.write()
_roundtrip = list(test[0][1](test[0][0]))
roundtrip = oc_(test[0][0], test[0][1]) # FIXME not quite there yet...
for t in roundtrip:
ecgraph.add(t)
ecng = makeGraph('thing2',
graph=ecgraph,
prefixes=makePrefixes('owl', 'TEMP'))
ecng.write()
if __name__ == '__main__':
breakpoint()
return
r = Restriction(
rdfs.subClassOf) #, scope=owl.allValuesFrom)#NIFRID.has_proper_part)
l = tuple(r.parse(graph=graph))
for t in r.triples:
graph.remove(t)
ng = makeGraph('thing', graph=graph)
ng.write()
#print(l)
restriction = Restriction(None) #rdf.first)
ll = List(lift_rules={owl.Restriction: restriction})
trips = tuple(ll.parse(graph=graph))
#subClassOf = PredicateCombinator(rdfs.subClassOf) # TODO should be able to do POCombinator(rdfs.subClassOf, 0bjectCombinator)
subClassOf = POCombinator(rdfs.subClassOf, ObjectCombinator)
superDuperClass = subClassOf(
TEMP.superDuperClass) # has to exist prior to triples
ec = oec(
TEMP.ec1,
TEMP.ec2,
restriction(TEMP.predicate0, TEMP.target1),
restriction(TEMP.predicate1, TEMP.target2),
)
egraph = rdflib.Graph()
acombinator = annotation((TEMP.testSubject, rdf.type, owl.Class),
(TEMP.hoh, 'FUN'))
ft = flattenTriples((
acombinator((TEMP.annotation, 'annotation value')),
acombinator((TEMP.anotherAnnotation, 'annotation value again')),
oc_(TEMP.c1, superDuperClass),
oc_(TEMP.c2, superDuperClass),
oc_(TEMP.c3, superDuperClass),
oc_(TEMP.c4, superDuperClass),
oc_(TEMP.c5, superDuperClass),
oc_(TEMP.wat, subClassOf(TEMP.watParent)),
oc_(TEMP.testSubject),
ec(TEMP.testSubject),
oc_(TEMP.more,
oec(TEMP.ec3, restriction(TEMP.predicate10, TEMP.target10))),
), )
[egraph.add(t) for t in ft]
eng = makeGraph('thing1',
graph=egraph,
prefixes=makePrefixes('owl', 'TEMP'))
eng.write()
if __name__ == '__main__':
breakpoint()
class BermanSrc(resSource):
run_ocr = False
source_images = Path('~/files/cropped').expanduser()
source = 'https://github.com/tgbugs/pyontutils.git'
sourceFile = auth.get_path('resources') / 'berman'
source_original = False
artifact = Artifacts.BermanCat
@classmethod
def loadData(cls):
""" Sigh, this was indeed a poorly conceived approach
since it hard blocks when the files are not in the source
so you can't easily bootstrap from another source and the
cognitive overhead is way, way too high :/
Adding dry_run/bootstrap to __new__ sort of helps? """
""" Have to run this out here because resSource is handicapped """
data = []
if cls.source_images.exists():
for folder in cls.source_images.glob('*'):
plate_num = int(folder.stem)
text_file = cls.source / f'{plate_num}.txt'
if not text_file.exists() or cls.run_ocr:
legends = []
raw_text = ''
for img in folder.glob('*.png'):
print('num', plate_num, img.stem)
p = subprocess.Popen(
('tesseract', img.as_posix(), 'stdout', '-l',
'eng', '--oem', '2', '--psm', '6'),
stdout=subprocess.PIPE)
bytes_text, err = p.communicate()
raw_text += bytes_text.decode() + '\n'
with open(text_file, 'wt') as f:
f.write(raw_text)
else:
with open(text_file, 'rt') as f:
raw_text = f.read()
legends = get_legends(raw_text)
data.append((plate_num, legends))
elif cls.source.exists():
for text_file in cls.source.glob('*.txt'):
plate_num = int(text_file.stem)
with open(text_file, 'rt') as f:
raw_text = f.read()
legends = get_legends(raw_text)
data.append((plate_num, legends))
return data
@classmethod
def processData(cls):
data = cls.raw
# ocr fixes
# in theory could use the most frequent if > .75 are the same ...
cor_l = {
'abducens nerve': {
'GN': '6N'
},
'alaminar spinal trigeminal nucleus, magnocellular division (14)':
{
'5SM': 'SSM'
},
'alaminar spinal trigeminal nucleus, parvocellular division (6)': {
'5SP': 'SSP'
},
'central nucleus of the inferior colliculus (21)': {
'1CC': 'ICC'
},
'cerebral cortex': {
'¢': 'C'
},
'commissure of the inferior colliculi': {
'1CO': 'ICO',
'I1CO': 'ICO'
},
'corpus callosum': {
'198': 'CC'
},
'inferior central nucleus (13)': {
'C': 'CI',
'Cl': 'CI'
},
'lateral tegmental field (3)': {
'FIL': 'FTL'
},
'mesencephalic trigeminal nucleus (19)': {
'SME': '5ME'
},
'motor trigeminal tract': {
'SMT': '5MT'
},
'nucleus of the trapezoid body (15)': {
'J': 'T'
},
'posterior interpeduncular nucleus, inner division': {
'al': 'IPI'
}, # wow ...
'solitary tract': {
'$': 'S'
},
'spinal trigeminal tract': {
'SST': '5ST'
},
'statoacoustic nerve': {
'BN': 'SN'
},
'superior central nucleus (22)': {
's': 'CS'
},
'trigeminal nerve': {
'SN': '5N'
},
'zona incerta': {
'Z1': 'ZI'
},
}
cor_a = {
#'1': {'ependymal layer', 'superficial layer'},
#'2': {'intermediate layer', 'molecular layer'},
#'3': {'deep layer', 'oculomotor nucleus (27)', 'pyramidal layer'},
#'4': {'polymorph layer', 'trochlear nucleus (23)'},
'KF': {
'KollikerFuse nucleus (17)': 'KéllikerFuse nucleus (17)'
},
'SCS': {
'superior colliculus, supertficial layer (25)':
'superior colliculus, superficial layer (25)'
}
}
# close layer abbreviation issues
# this of course means that abbrevs cannot be used as identifiers
# but we already knew this
abbrev_ok = {
'1': {
'superficial layer': 1,
'ependymal layer': 1
},
'2': {
'intermediate layer': 1,
'molecular layer': 1
},
'3': {
'oculomotor nucleus (27)': 4,
'deep layer': 1,
'pyramidal layer': 1
},
'4': {
'polymorph layer': 1,
'trochlear nucleus (23)': 1
}
}
by_abbrev = collections.defaultdict(list)
by_label = collections.defaultdict(list)
abbrev_index = collections.defaultdict(list)
label_index = collections.defaultdict(list)
for n, legends in sorted(data):
for abbrev, label in legends:
if label in cor_l and abbrev in cor_l[label]:
abbrev = cor_l[label][abbrev]
if abbrev in cor_a and label in cor_a[abbrev]:
label = cor_a[abbrev][label]
by_abbrev[abbrev].append(label)
by_label[label].append(abbrev)
abbrev_index[abbrev].append(n)
label_index[label].append(n)
def dorder(thing, type=lambda v: v):
return {
k: type(v)
for k, v in sorted(thing.items(), key=lambda kv: kv[0].lower())
}
by_abbrev = dorder(by_abbrev, collections.Counter)
by_label = dorder(by_label, collections.Counter)
prob_a = {k: v for k, v in by_abbrev.items() if len(v) > 1}
prob_l = {k: v for k, v in by_label.items() if len(v) > 1}
pnorma = {k: dict(v) for k, v in prob_a.items()}
assert pnorma == abbrev_ok, f'problem in abbrevs\n{pnorma}\n{abbrev_ok}'
assert not prob_l, f'problem in labels {prob_l}'
index_abbrev = dorder(abbrev_index, tuple)
index_label = dorder(label_index, tuple)
ia = sorted(
set([(tuple(l), a, index_label[list(l)[0]], index_abbrev[a])
for a, l in by_abbrev.items() if a not in abbrev_ok
and index_label[list(l)[0]] != index_abbrev[a]]))
assert not ia, f'oops {ia}'
il = sorted(
set([(l, tuple(a), index_label[l], index_abbrev[list(a)[0]])
for l, a in by_label.items() if list(a)[0] not in abbrev_ok
and index_label[l] != index_abbrev[list(a)[0]]]))
assert not il, f'oops {il}'
def paren_thing(label):
if '(' in label:
label_ws, pthing_cp = label.split('(', 1)
return label_ws.strip(), int(pthing_cp.rstrip(')'))
else:
return label, None
data_out = tuple(
(*paren_thing(label), list(abbrev)[0], index_label[label])
for label, abbrev in by_label.items())
return data_out,
@classmethod
def validate(cls, d):
return d
if not line:
continue
try:
abbrev, label = line.split(' ', 1)
except ValueError as e:
print(repr(line))
print(repr(raw_text))
raise e
continue
abbrev = clean(abbrev)
label = clean(label)
legends.append((abbrev, label))
return legends
resources = auth.get_path('resources')
if resources is not None:
# FIXME TODO this is a bad way to handle this ...
with open(resources / 'brainmaps-cat-abbrevs.html', 'rt') as f:
dat = f.read()
asoup = BeautifulSoup(dat, 'lxml')
class BermanSrc(resSource):
run_ocr = False
source_images = Path('~/files/cropped').expanduser()
source = 'https://github.com/tgbugs/pyontutils.git'
sourceFile = auth.get_path('resources') / 'berman'
source_original = False
artifact = Artifacts.BermanCat
def default(self):
out_path = self.options.out_path
BUILD = self.options.BUILD
glb = Path(auth.get_path('git-local-base'))
theme_repo = glb / 'org-html-themes'
theme = theme_repo / 'setup/theme-readtheorg-local.setup'
prepare_paths(BUILD, out_path, theme_repo, theme)
doc_config = self._doc_config
names = tuple(doc_config['repos']) + tuple(
self.options.repo) # TODO fetch if missing ?
repo_paths = [(glb / name).resolve() for name in names]
repos = [p.repo for p in repo_paths]
skip_folders = doc_config.get('skip-folders', tuple())
rskip = doc_config.get('skip', {})
# TODO move this into run_all
docstring_kwargs = makeDocstrings(BUILD, repo_paths, skip_folders,
rskip)
wd_docs_kwargs = [docstring_kwargs]
if self.options.docstring_only:
[
kwargs.update({'theme': theme})
for _, _, kwargs in wd_docs_kwargs
]
outname, rendered = render_docs(wd_docs_kwargs,
out_path,
titles=None,
n_jobs=1,
debug=self.options.debug)[0]
if not outname.parent.exists():
outname.parent.mkdir(parents=True)
with open(outname.as_posix(), 'wt') as f:
f.write(rendered)
return
et = tuple()
wd_docs_kwargs += [
(rp, rp / f, makeKwargs(rp, f)) for rp in repo_paths
for f in rp.repo.git.ls_files().split('\n')
if Path(f).suffix in suffixFuncs and only(rp, f) and noneMembers(
f, *skip_folders) and f not in rskip.get(rp.name, et)
]
[kwargs.update({'theme': theme}) for _, _, kwargs in wd_docs_kwargs]
if self.options.spell:
spell((f.as_posix() for _, f, _ in wd_docs_kwargs))
return
titles = doc_config['titles']
outname_rendered = render_docs(wd_docs_kwargs,
out_path,
titles,
self.options.jobs,
debug=self.options.debug)
index = [
f'<b class="{heading}">{heading}</b>'
for heading in doc_config['index']
]
_NOTITLE = object()
for outname, rendered in outname_rendered:
apath = outname.relative_to(self.options.out_path)
title = titles.get(apath.as_posix(), _NOTITLE)
# TODO parse out/add titles
if title is not None:
value = (hfn.atag(apath) if title is _NOTITLE else hfn.atag(
apath, title))
index.append(value)
if not outname.parent.exists():
outname.parent.mkdir(parents=True)
with open(outname.as_posix(), 'wt') as f:
f.write(rendered)
lt = list(titles)
def title_key(a):
title = a.split('"')[1]
if title not in lt:
msg = (f'{title} missing from {self.options.config}')
raise ValueError(msg)
return lt.index(title)
index_body = '<br>\n'.join(['<h1>Documentation Index</h1>'] +
sorted(index, key=title_key))
with open((out_path / 'index.html').as_posix(), 'wt') as f:
f.write(hfn.htmldoc(index_body, title=doc_config['title']))
#!/usr/bin/env python3.7
import tempfile
from pyontutils.config import auth
from augpathlib import RepoPath as Path
temp_path = Path(tempfile.tempdir)
_ddconf = auth.get_path('resources') / 'doc-config.yaml'
_ddpath = temp_path / 'build-ont-docs' / 'docs'
__doc__ = f"""Compile all documentation from git repos.
Usage:
ont-docs [options] [--repo=<REPO>...]
Options:
-h --help show this
-c --config=<PATH> path to doc-index.yaml [default: {_ddconf}]
-o --out-path=<PATH> path inside which docs are built [default: {_ddpath}]
-b --html-root=<REL> relative path to the html root [default: ..]
-s --spell run hunspell on all docs
-d --docstring-only build docstrings only
-j --jobs=NJOBS number of jobs [default: 9]
-r --repo=<REPO> additional repos to crawl for docs
--debug redirect stderr to debug pipeline errors
"""
import os
import re
import ast
import shutil
import logging
import subprocess
from pathlib import PurePath
def swanson():
""" not really a parcellation scheme
NOTE: the defining information up here is now deprecated
it is kept around to keep the code further down happy """
source = auth.get_path('resources') / 'swanson_aligned.txt'
ONT_PATH = 'http://ontology.neuinfo.org/NIF/ttl/generated/'
filename = 'swanson_hierarchies'
ontid = ONT_PATH + filename + '.ttl'
PREFIXES = SwansonLabels.prefixes
new_graph = makeGraph(filename, PREFIXES, writeloc='/tmp/')
new_graph.add_ont(ontid,
'Swanson brain partomies',
'Swanson 2014 Partonomies',
'This file is automatically generated from ' + source.as_posix() + '.' + '**FIXME**',
'now')
# FIXME citations should really go on the ... anatomy? scheme artifact
definingCitation = 'Swanson, Larry W. Neuroanatomical Terminology: a lexicon of classical origins and historical foundations. Oxford University Press, USA, 2014.'
definingCitationID = 'ISBN:9780195340624'
new_graph.add_trip(ontid, 'NIFRID:definingCitation', definingCitation)
new_graph.add_trip(ontid, 'NIFRID:definingCitationID', definingCitationID)
with open(source, 'rt') as f:
lines = [l.strip() for l in f.readlines()]
# join header on page 794
lines[635] += ' ' + lines.pop(636)
#fix for capitalization since this header is reused
fixed = ' or '.join([' ('.join([n.capitalize() for n in _.split(' (')]) for _ in lines[635].lower().split(' or ')]).replace('human','HUMAN')
lines[635] = fixed
data = []
for l in lines:
if not l.startswith('#'):
level = l.count('.'*5)
l = l.strip('.')
if ' (' in l:
if ') or' in l:
n1, l = l.split(') or')
area_name, citationP = n1.strip().split(' (')
citation = citationP.rstrip(')')
d = (level, area_name, citation, 'NEXT SYN')
data.append(d)
#print(tc.red(tc.bold(repr(d))))
area_name, citationP = l.strip().split(' (')
citation = citationP.rstrip(')')
else:
area_name = l
citation = None
d = (level, area_name, citation, None)
#print(d)
data.append(d)
results = Async()(deferred(sgv.findByTerm)(d[1]) for d in data)
#results = [None] * len(data)
curies = [[r['curie'] for r in _ if 'curie' in r and 'UBERON' in r['curie']] if _ else [] for _ in results]
output = [_[0] if _ else None for _ in curies]
header = ['Depth', 'Name', 'Citation', 'NextSyn', 'Uberon']
zoop = [header] + [r for r in zip(*zip(*data), output)] + \
[(0, 'Appendix END None', None, None, None)] # needed to add last appendix
# TODO annotate the appendicies and the classes with these
appendix_root_mapping = (1, 1, 1, 1, 30, 83, 69, 70, 74, 1) # should generate?
class SP(rowParse):
def __init__(self):
self.nodes = defaultdict(dict)
self._appendix = 0
self.appendicies = {}
self._last_at_level = {}
self.names = defaultdict(set)
self.children = defaultdict(set)
self.parents = defaultdict(set)
self.next_syn = False
super().__init__(zoop)
def Depth(self, value):
if self.next_syn:
self.synonym = self.next_syn
else:
self.synonym = False
self.depth = value
def Name(self, value):
self.name = value
def Citation(self, value):
self.citation = value
def NextSyn(self, value):
if value:
self.next_syn = self._rowind
else:
self.next_syn = False
def Uberon(self, value):
self.uberon = value
def _row_post(self):
# check if we are in the next appendix
# may want to xref ids between appendicies as well...
if self.depth == 0:
if self.name.startswith('Appendix'):
if self._appendix:
self.appendicies[self._appendix]['children'] = dict(self.children)
self.appendicies[self._appendix]['parents'] = dict(self.parents)
self._last_at_level = {}
self.children = defaultdict(set)
self.parents = defaultdict(set)
_, num, apname = self.name.split(' ', 2)
if num == 'END':
return
self._appendix = int(num)
self.appendicies[self._appendix] = {
'name':apname.capitalize(),
'type':self.citation.capitalize() if self.citation else None}
return
else:
if ' [' in self.name:
name, taxonB = self.name.split(' [')
self.name = name
self.appendicies[self._appendix]['taxon'] = taxonB.rstrip(']').capitalize()
else: # top level is animalia
self.appendicies[self._appendix]['taxon'] = 'ANIMALIA'.capitalize()
self.name = self.name.capitalize()
self.citation = self.citation.capitalize()
# nodes
if self.synonym:
self.nodes[self.synonym]['synonym'] = self.name
self.nodes[self.synonym]['syn-cite'] = self.citation
self.nodes[self.synonym]['syn-uberon'] = self.uberon
return
else:
if self.citation: # Transverse Longitudinal etc all @ lvl4
self.names[self.name + ' ' + self.citation].add(self._rowind)
else:
self.name += str(self._appendix) + self.nodes[self._last_at_level[self.depth - 1]]['label']
#print(level, self.name)
# can't return here because they are their own level
# replace with actually doing something...
self.nodes[self._rowind]['label'] = self.name
self.nodes[self._rowind]['citation'] = self.citation
self.nodes[self._rowind]['uberon'] = self.uberon
# edges
self._last_at_level[self.depth] = self._rowind
# TODO will need something to deal with the Lateral/
if self.depth > 0:
try:
parent = self._last_at_level[self.depth - 1]
except:
breakpoint()
self.children[parent].add(self._rowind)
self.parents[self._rowind].add(parent)
def _end(self):
replace = {}
for asdf in [sorted(n) for k,n in self.names.items() if len(n) > 1]:
replace_with, to_replace = asdf[0], asdf[1:]
for r in to_replace:
replace[r] = replace_with
for r, rw in replace.items():
#print(self.nodes[rw])
o = self.nodes.pop(r)
#print(o)
for vals in self.appendicies.values():
children = vals['children']
parents = vals['parents']
# need reversed so children are corrected before swap
for r, rw in reversed(sorted(replace.items())):
if r in parents:
child = r
new_child = rw
parent = parents.pop(child)
parents[new_child] = parent
parent = list(parent)[0]
children[parent].remove(child)
children[parent].add(new_child)
if r in children:
parent = r
new_parent = rw
childs = children.pop(parent)
children[new_parent] = childs
for child in childs:
parents[child] = {new_parent}
self.nodes = dict(self.nodes)
sp = SP()
tp = [_ for _ in sorted(['{: <50}'.format(n['label']) + n['uberon'] if n['uberon'] else n['label'] for n in sp.nodes.values()])]
#print('\n'.join(tp))
#print(sp.appendicies[1].keys())
#print(sp.nodes[1].keys())
nbase = PREFIXES['SWAN'] + '%s'
json_ = {'nodes':[],'edges':[]}
parent = ilxtr.swansonBrainRegionConcept
og = OntGraph()
for node, anns in sp.nodes.items():
nid = nbase % node
new_graph.add_class(nid, parent, label=anns['label'])
new_graph.add_trip(nid, 'NIFRID:definingCitation', anns['citation'])
json_['nodes'].append({'lbl':anns['label'],'id':'SWA:' + str(node)})
#if anns['uberon']:
#new_graph.add_trip(nid, owl.equivalentClass, anns['uberon']) # issues arrise here...
[og.add(t) for t in map_term(rdflib.URIRef(nid), anns['label'], prefix='UBERON')]
og.write(auth.get_path('ontology-local-repo') /
'ttl/generated/swanson-uberon-mapping.ttl')
#hrm = [(anns['label'], gn(anns['label'])) for node, anns in sp.nodes.items()]
#ok = [(h, test, term_source(h, test)) for h, test in hrm if test]
#notok = [h for h, test in hrm if not test]
for appendix, data in sp.appendicies.items():
aid = PREFIXES['SWAA'] + str(appendix)
new_graph.add_class(aid, label=data['name'].capitalize())
new_graph.add_trip(aid, 'ilxtr:hasTaxonRank', data['taxon']) # FIXME appendix is the data artifact...
children = data['children']
ahp = 'swanr:hasPart' + str(appendix)
apo = 'swanr:partOf' + str(appendix)
new_graph.add_op(ahp, transitive=True)
new_graph.add_op(apo, inverse=ahp, transitive=True)
for parent, childs in children.items(): # FIXME does this give complete coverage?
pid = nbase % parent
for child in childs:
cid = nbase % child
new_graph.add_restriction(pid, ahp, cid) # note hierarhcy inverts direction
new_graph.add_restriction(cid, apo, pid)
json_['edges'].append({'sub':'SWA:' + str(child),'pred':apo,'obj':'SWA:' + str(parent)})
return new_graph
class SwansonAppendix(resSource):
sourceFile = auth.get_path('resources') / 'swanson_aligned.txt'
artifact = Artifacts.SwansonAppendix
