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[GEN-1313] Export detailed columns for NAACCR codes #567

Merged
merged 10 commits into from
May 28, 2024
23 changes: 18 additions & 5 deletions genie_registry/clinical.py
Original file line number Diff line number Diff line change
Expand Up @@ -306,8 +306,16 @@ def remap_clinical_values(
sampletype_mapping.index = sampletype_mapping["CODE"]
sampletype_dict = sampletype_mapping.to_dict()

if clinicaldf.get("SAMPLE_TYPE") is not None:
clinicaldf["SAMPLE_TYPE_DETAILED"] = clinicaldf["SAMPLE_TYPE"]
for column in [
"PRIMARY_RACE",
"SECONDARY_RACE",
"TERTIARY_RACE",
"SEX",
"ETHNICITY",
"SAMPLE_TYPE",
]:
if column in clinicaldf.columns:
clinicaldf[f"{column}_DETAILED"] = clinicaldf[column]

# Use pandas mapping feature
clinicaldf = clinicaldf.replace(
Expand All @@ -316,9 +324,14 @@ def remap_clinical_values(
"SECONDARY_RACE": race_dict["CBIO_LABEL"],
"TERTIARY_RACE": race_dict["CBIO_LABEL"],
"SAMPLE_TYPE": sampletype_dict["CBIO_LABEL"],
"SAMPLE_TYPE_DETAILED": sampletype_dict["DESCRIPTION"],
"SEX": sex_dict["CBIO_LABEL"],
"ETHNICITY": ethnicity_dict["CBIO_LABEL"],
"PRIMARY_RACE_DETAILED": race_dict["DESCRIPTION"],
"SECONDARY_RACE_DETAILED": race_dict["DESCRIPTION"],
"TERTIARY_RACE_DETAILED": race_dict["DESCRIPTION"],
"SAMPLE_TYPE_DETAILED": sampletype_dict["DESCRIPTION"],
"SEX_DETAILED": sex_dict["DESCRIPTION"],
"ETHNICITY_DETAILED": ethnicity_dict["DESCRIPTION"],
}
)

Expand Down Expand Up @@ -481,12 +494,12 @@ def preprocess(self, newpath):
# hardcoded because it never changes
# TODO: Add clinical tier release scope to GENIE config
patient_cols_table = self.syn.tableQuery(
"select fieldName from syn8545211 where "
f"select fieldName from {self.genie_config['clinical_tier_release_scope']} where "
"patient is True and inClinicalDb is True"
)
patient_cols = patient_cols_table.asDataFrame()["fieldName"].tolist()
sample_cols_table = self.syn.tableQuery(
"select fieldName from syn8545211 where "
f"select fieldName from {self.genie_config['clinical_tier_release_scope']} where "
"sample is True and inClinicalDb is True"
)
sample_cols = sample_cols_table.asDataFrame()["fieldName"].tolist()
Expand Down
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