File size: 3,128 Bytes
8a79f2e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
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]
# Drop Cols with the anonymized pii
df = df.drop(columns = relevant_pii)
# Merge in the 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
|