spell_func.py

import csv
import pandas as pd
import ast
import fuzzy_spell
df_cat = pd.read_csv('parent.csv')
categories = df_cat['category_name'].tolist()
sub_cat = df_cat['subcat_name'].tolist()
product_csv = pd.read_csv('AR_Data_Product.csv')
pro_name = product_csv['pro_name'].tolist()
product_id = product_csv['product_id'].tolist()
main_url = 'https://www.arogyarahasya.com/catalogsearch/result/?q={}'
def spell_correct(a):
           print('spell_func', a)
           for m,n in zip(categories, sub_cat):
             if a.casefold() == m.casefold():
               subcat_list = ast.literal_eval(n)
               print("subcat_list", subcat_list)
               #if categories have empty list, check in the product csv
               if not subcat_list:
                 print("aaa", a)
                 product_list = fuzzy_spell.home(a)
                 product = [ product.replace(" ", '+') for product in product_list]
                 product = [i.strip('"') for i in product]
                 product_url = [ main_url.format(i) for i in product]
                 print('product_list', product_list)
                 print('product', product)
                 print("product_url", product_url)
                 if not product_url: 
                    c = a.split()
                    url_string = '+'.join(c)
                    bot = '**'+main_url.format(url_string)
                    #bot = '**'+("Sorry, '{}' product is currently unavailable!!".format(a))
                    print("if products & cats are empty", bot)
                 else:
                   str2 = '&&'.join(product_url)
                   bot = '&&'+str2
                   print("if there are matched products:", bot)
               else:
                  b = '&&'.join(subcat_list)
                  print("if subcat_list is not empty:", b)
                  bot = '&&'+b
                  bot = bot 
               print("spellfunc_output", bot)
               return bot