|
|
| import sys |
| import os |
| import pandas as pd |
| from lib.experiment_specs import study_config |
| from lib.utilities import serialize |
|
|
| """ |
| Class that contains functions to anonomize all PII info or de-anonymize PII columns |
| - all PII columns are replace with the appcode value |
| """ |
| class Confidential: |
| id_file = os.path.join("data","external", "dropbox_confidential","ContactLists","Generator","PII") |
|
|
| """populate the PII dataframe with column values for the given survey""" |
| @staticmethod |
| def build_id_map(df, survey_name, id_file = id_file): |
| for survey, id_cols in study_config.id_cols.items(): |
| if survey in survey_name: |
| id_dict = serialize.soft_df_open(id_file).to_dict(orient = 'index') |
| id_cols = ["AppCode"] + [x for x in df.columns if x in study_config.id_cols[survey]] |
|
|
| new_pii = df.loc[df["AppCode"].notnull(), id_cols] |
| new_pii.index = new_pii["AppCode"] |
|
|
| new_pii_dict = new_pii.drop(columns = "AppCode").to_dict("index") |
|
|
| if len(id_dict) ==0: |
| """if id dict is empty, replace with with the new data""" |
| id_dict = new_pii_dict.copy() |
|
|
| else: |
| """update pii dict""" |
| for appcode in new_pii_dict.keys(): |
|
|
| """if appcode not in the id_dict, add it""" |
| if appcode not in id_dict: |
| id_dict[appcode] = new_pii_dict[appcode] |
| else: |
| """if appcode is in the id_dict, add or update the columns""" |
| for col,val in new_pii_dict[appcode].items(): |
| """if col is not in the id_dict, add it (UNCLEAR HOW THIS WILL WORK WITH THE DELAYED SURVEY""" |
| id_dict[appcode][col] = val |
|
|
| id_df = pd.DataFrame.from_dict(id_dict, orient= 'index') |
| serialize.save_pickle(id_df,id_file,test_override=True) |
| break |
|
|
| """anonymize pii columns in df """ |
| @staticmethod |
| def anonymize_cols(df): |
| all_pii_cols = sum(list(study_config.id_cols.values()),[]) |
| for col in df.columns: |
| if col in all_pii_cols: |
| df[col] = df["AppCode"] |
| return df |
|
|
| """ Adds PII back to data frame by replacing the values of all anonymized columns with the pii""" |
| @staticmethod |
| def add_pii(df, id_file = id_file,only_main_cols = False): |
| id_df = serialize.soft_df_open(id_file) |
| all_pii_cols = list(id_df.columns) |
| relevant_pii = [x for x in df.columns if x in all_pii_cols] |
|
|
| |
| df = df.drop(columns = relevant_pii) |
|
|
| |
| id_df = id_df.reset_index().rename(columns = {"index":"AppCode"}) |
|
|
| if only_main_cols==True: |
| id_main_cols = [x for x in study_config.main_cols if x in id_df.columns] |
| id_df = id_df[id_main_cols] |
|
|
| df_pii = id_df.merge(df, on = "AppCode", how = 'right') |
| return df_pii |
|
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|
