Spaces:
Sleeping
Sleeping
Update drug_screen_validate
Browse files
app.py
CHANGED
@@ -1129,10 +1129,22 @@ QALAHAYFAQYHDPDDEPVADPYDQSFESRDLLIDEWKSLTYDEVISFVPPPLDQEEMES
|
|
1129 |
if library in DRUG_LIBRARY_MAP.keys():
|
1130 |
screen_df = pd.read_csv(Path('data/drug_libraries', DRUG_LIBRARY_MAP[library]))
|
1131 |
else:
|
1132 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
1133 |
validate_columns(screen_df, ['X1'])
|
1134 |
|
|
|
|
|
|
|
|
|
1135 |
screen_df['X2'] = fasta
|
|
|
|
|
1136 |
|
1137 |
job_id = uuid4()
|
1138 |
temp_file = Path(f'{job_id}_input.csv').resolve()
|
|
|
1129 |
if library in DRUG_LIBRARY_MAP.keys():
|
1130 |
screen_df = pd.read_csv(Path('data/drug_libraries', DRUG_LIBRARY_MAP[library]))
|
1131 |
else:
|
1132 |
+
if library_upload.endswith('.csv'):
|
1133 |
+
screen_df = pd.read_csv(library_upload)
|
1134 |
+
elif library_upload.endswith('.sdf'):
|
1135 |
+
suppl = Chem.ForwardSDMolSupplier(library_upload)
|
1136 |
+
screen_df = pd.DataFrame([Chem.MolToSmiles(mol) for mol in suppl], columns=['X1'])
|
1137 |
+
else:
|
1138 |
+
raise 'Currently only csv and sdf files are supported.'
|
1139 |
validate_columns(screen_df, ['X1'])
|
1140 |
|
1141 |
+
if not np.isin('ID1', screen_df.columns):
|
1142 |
+
screen_df['ID1'] = list(range(screen_df.shape[0]))
|
1143 |
+
if not np.isin('ID2', screen_df.columns):
|
1144 |
+
screen_df['ID2'] = 'Input'
|
1145 |
screen_df['X2'] = fasta
|
1146 |
+
screen_df['Y'] = 0
|
1147 |
+
screen_df = screen_df.loc[:, ['ID1', 'X1', 'ID2', 'X2', 'Y']]
|
1148 |
|
1149 |
job_id = uuid4()
|
1150 |
temp_file = Path(f'{job_id}_input.csv').resolve()
|