Created
October 12, 2023 16:17
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import pandas as pd | |
import numpy as np | |
import requests | |
def main(): | |
df = pd.read_csv('clinical_data_mappings.tsv', sep='\t') | |
attrib_names = df["cBioPortal CDD Attribute"] | |
sheet_display_names = df["Display Name"] | |
sheet_descs = df["Description"] | |
missing_rows = [] | |
for i, attrib_name in enumerate(attrib_names): | |
if not attrib_name or pd.isna(attrib_name) or attrib_name == '-': | |
missing_rows.append(i) | |
continue | |
request_url = 'https://cdd.cbioportal.mskcc.org:443/api/search?attributeType=PATIENT&inclusiveSearch=true' | |
response = requests.post( | |
request_url, | |
headers={ | |
'Content-Type': 'application/json', | |
'Accept': 'application/json' | |
}, | |
data=f'["{attrib_name}"]' | |
) | |
status = response.status_code | |
if status == 400: | |
raise Exception('bad request') | |
elif status == 503: | |
raise Exception('server error') | |
elif status == 404: # no attributes matching search term | |
missing_rows.append(i) | |
continue | |
elif status == 200: | |
matches = response.json() | |
matches = [m for m in matches if m['column_header'] == attrib_name] | |
if len(matches) == 0: | |
missing_rows.append(i) | |
continue | |
assert len(matches) == 1, matches | |
match = matches[0] | |
display_name = match['display_name'] | |
desc = match['description'] | |
if display_name != sheet_display_names[i] or \ | |
desc != sheet_descs[i]: | |
print(f"{attrib_name} was found but display name or desc doesn't match, adding...") | |
missing_rows.append(i) | |
continue | |
pass # found it | |
else: | |
raise Exception(f'unrecognized status: {status}') | |
missing_df = df.loc[missing_rows, :] | |
missing_df.to_csv('attribs_missing_from_cdd.tsv', sep='\t', index=False) | |
if __name__ == '__main__': | |
main() |
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