def _simsearch_to_simresult(self, sim_resp: Dict, method: SimAlgorithm,
limit: int) -> SimResult:
"""
Convert owlsim json to SimResult object
:param sim_resp: owlsim response from search_by_attribute_set()
:param method: SimAlgorithm
:param limit: int, number of results to return
:return: SimResult object
"""
sim_ids = get_nodes_from_ids(sim_resp['query_IRIs'])
sim_resp['results'] = OwlSim2Api._rank_results(sim_resp['results'],
method)
# get id type map:
ids = [result['j']['id'] for result in sim_resp['results']]
id_type_map = get_id_type_map(ids)
matches = []
counter = 0
for result in sim_resp['results']:
if counter == limit:
break
matches.append(
SimMatch(
id=result['j']['id'],
label=result['j']['label'],
rank=result['rank'],
score=result[OwlSim2Api.method2key[method]],
type=id_type_map[result['j']['id']][0],
taxon=get_taxon(result['j']['id']),
significance="NaN",
pairwise_match=OwlSim2Api._make_pairwise_matches(result)))
counter += 1
return SimResult(
query=SimQuery(ids=sim_ids,
unresolved_ids=sim_resp['unresolved'],
target_ids=[[]]),
matches=matches,
metadata=SimMetadata(max_max_ic=self.statistics.max_max_ic))
def _simcompare_to_simresult(self, sim_resp: Dict, method: SimAlgorithm) -> SimResult:
"""
Convert owlsim json from compareAttributeSets to SimResult object
In compare mode owlsim does not provide a id, label, and therefore
we cannot infer type and taxon.
:param sim_resp: owlsim response from compare_attribute_sets()
:param method: SimAlgorithm
:return: SimResult object
"""
sim_ids = get_nodes_from_ids(sim_resp['query_IRIs'])
sim_resp['results'] = OwlSim2Api._rank_results(sim_resp['results'], method)
matches = []
for result in sim_resp['results']:
matches.append(
SimMatch(
id="",
label="",
rank="NaN",
score=result[OwlSim2Api.method2key[method]],
significance="NaN",
pairwise_match=OwlSim2Api._make_pairwise_matches(result)
)
)
return SimResult(
query=SimQuery(
ids=sim_ids,
unresolved_ids=sim_resp['unresolved'],
target_ids=[get_nodes_from_ids(sim_resp['target_IRIs'])]
),
matches=matches,
metadata=SimMetadata(
max_max_ic=self.statistics.max_max_ic
)
)