def search_measures(self, study_wrapper, instrument, search_term):
dbfile = self.get_pheno_dbfile(study_wrapper)
db = DbManager(dbfile=dbfile)
db.build()
measures = db.search_measures(instrument, search_term)
for m in measures:
if m["values_domain"] is None:
m["values_domain"] = ""
m["measure_type"] = m["measure_type"].name
m["regressions"] = []
regressions = db.get_regression_values(m["measure_id"]) or []
for reg in regressions:
reg = dict(reg)
if isnan(reg["pvalue_regression_male"]):
reg["pvalue_regression_male"] = "NaN"
if isnan(reg["pvalue_regression_female"]):
reg["pvalue_regression_female"] = "NaN"
m["regressions"].append(reg)
yield {
"measure": m,
}
def test_search_measures_get_all(fake_phenotype_data_browser_dir):
db = DbManager(fake_phenotype_data_browser_dir)
assert db is not None
db.build()
assert len(list(db.search_measures())) == 15