| 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': str(date), | |
| 'attribute_version': 'v2_090523', | |
| 'attribute_vocab': '', | |
| 'attribute_code': '', | |
| 'date_of_service': '' | |
| } | |
| return date_insert_dict | |
| def report_date_check(dict_list, df): | |
| col_names = {col['attribute_name'] for col in dict_list} | |
| if 'report_date' not in col_names: | |
| pif_key = next((col['attribute_prediction'] for col in dict_list if col['attribute_name'] == 'pif_key'), None) | |
| if pif_key is not None: | |
| date_insert_dict = date_dict(df, pif_key) | |
| dict_list.append(date_insert_dict) | |
| return dict_list | |
| def json_report_date_insertion(json_data, df): | |
| for biomarker_detail in json_data['patient_level']['biomarkers']['details']: | |
| for attribute in biomarker_detail['attribute']: | |
| attribute_details = attribute['attribute_details'] | |
| attribute['attribute_details'] = report_date_check(attribute_details, df) | |
| return json_data | |