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