Create rwd_code_for_opt.py

rwd_code_for_opt.py

@@ -0,0 +1,29 @@
+def date_dict(df, pif_key):
+    date = df.loc[df['pif_key'].astype(str)==str(pif_key), 'encounter_date'].values[0]
+    date_insert_dict = {'attribute_name': 'report_date',
+      'attribute_method': 'cv',
+      'attribute_normalized_prediction': '',
+      'attribute_prediction': f'{date}',
+      'attribute_version': 'v2_090523',
+      'attribute_vocab': '',
+      'attribute_code': '',
+      'date_of_service': ''}
+    return date_insert_dict
+
+def report_date_check(dict_list, df):
+    cols = []
+    for col_idx, col in enumerate(dict_list):
+        if col['attribute_name'] == 'pif_key':
+            pif_key = col['attribute_prediction']
+        cols.append(col['attribute_name'])
+    if 'report_date' not in cols:
+        date_insert_dict = date_dict(df, pif_key)
+        dict_list = dict_list + [date_insert_dict]
+#         dict_list = dict_list.insert(1, date_insert_dict)
+    return dict_list
+def json_report_date_insertion(json_data, df):
+    for i, temp1 in enumerate(json_data['patient_level']['biomarkers']['details']):
+        for j, temp2 in enumerate(json_data['patient_level']['biomarkers']['details'][i]['attribute']):
+            dict_list = json_data['patient_level']['biomarkers']['details'][i]['attribute'][j]['attribute_details']
+            json_data['patient_level']['biomarkers']['details'][i]['attribute'][j]['attribute_details'] = report_date_check(dict_list, df)
+    return json_data