extract_static_property_collateral.py

# Copyright (c) 2023 - 2024 Open Risk (https://www.openriskmanagement.com)
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# Script used in Step 3 of the Open Risk Academy Course
# https://www.openriskacademy.com/mod/page/view.php?id=754

import os

import pandas as pd

from config import column_names
from config import property_collateral_static
from data_dictionaries import *
from utils import create_static_table
from utils import load_file


def create_property_collateral_table(df):
    _pct = df[property_collateral_static]
    columns = {
        'LOAN_ID': 'loan_id',
        'PROP': 'property_type',
        'NO_UNITS': 'number_of_units',
        'OCC_STAT': 'occupancy_status',
        'STATE': 'property_state',
        'MSA': 'metropolitan_statistical_area',
        'ZIP': 'zip_code_short'}
    _pct = _pct.rename(columns=columns)
    _pct['property_type'] = _pct['property_type'].apply(lambda x: PROPERTY_DICT[x])
    _pct['occupancy_status'] = _pct['occupancy_status'].apply(lambda x: OCCUPANCY_DICT[x])
    return _pct


if __name__ == '__main__':

    input_directory = "./PERF/"

    files = os.listdir(input_directory)
    input_files = [input_directory + f for f in files if os.path.isfile(input_directory + '/' + f)]

    properties = []
    for in_file in input_files:
        input_table = load_file(in_file, column_names)
        static_table = create_static_table(input_table)
        del input_table
        property_table = create_property_collateral_table(static_table)
        del static_table
        print(len(property_table.index))
        properties.append(property_table)

    properties_all = pd.concat(properties)
    print(len(properties_all.index))
    properties_all.to_csv("DB_TABLES/property_collateral.csv", sep='|', index=False)