Revert audits

audits/1718989454.csv

@@ -1 +1,18 @@
 input_word,original_dictionary_word,new_dictionary_word
+Dreamer,"Light ice cream bar, vanilla",Non-Food Item
+MM lemonade,"Water, non-carbonated, bottles, natural fruit flavors, sweetened with low calorie sweetener",Non-Food Item
+Tea & Lemonade,Vodka and lemonade,Iced Tea / Lemonade juice drink
+Chocolate candy and syrup,Chocolate syrup,Chocolate candy
+Bulk,"Pasta, dry, unenriched",Non-Food Item
+Beef Broth,Fish broth,Non-Food Item
+Jello,"Gelatin desserts, dry mix, reduced calorie, with aspartame, prepared with water",Jellies
+Chip Dip,Chocolate dip,Cheese dip
+Pet Snacks,"Hot dog, meat and poultry",Non-Food Item
+Pans,"Beef, pot roast",Non-Food Item
+Freeze Dried,Mixed Food Items,Non-Food Item
+Chicken Salad,Beef salad,Chicken spread
+Girl Scout,"Cereals ready-to-eat, QUAKER, QUAKER Honey Graham LIFE Cereal",Non-Food Item
+Instant,"Rice, cooked, NFS",Non-Food Item
+Pallet Distro,"Vegetables, mixed, frozen, unprepared",Non-Food Item
+coconut nectar,Banana nectar,Non-Food Item
+"Bread, yeast-leavened, dough, unenriched","Cookie, batter or dough, raw","Doughnuts, yeast-leavened, glazed, unenriched (includes honey buns)"

audits/1719006458.csv

@@ -0,0 +1,35 @@
+input_word,original_dictionary_word,new_dictionary_word
+CookieDough,"Cookies, chocolate chip, refrigerated dough",Non-Food Item
+HandSanitizer,Screwdriver,Non-Food Item
+Misc Grovery,Mixed Food Items,Misc Grocery
+PancakeMix,"Pancakes, plain, dry mix, incomplete, prepared",Pancake syrup
+Hand Wipes,Dirty rice,Non-Food Item
+Air Freshener,Vinegar,Non-Food Item
+Diapers & Fem Hygiene,"Infant formula, ABBOTT NUTRITION, SIMILAC, Expert Care, Diarrhea, ready- to- feed with ARA and DHA",Non-Food Item
+Misc Gocery,Mixed Food Items,Misc Grocery
+Misc Meat & Produce,Misc Meat,Non-Food Item
+Filing Cabnit,"Pork, carnitas",Non-Food Item
+Candles,"Mushrooms, raw",Non-Food Item
+Soda Coffee,"Ice cream soda, chocolate","Soft drink, cola"
+Powerade & Tea,Iced Tea / Lemonade juice drink,Sports drink (Powerade)
+Jelly,Jelly,Jellies
+Powdered,Tomato powder,Non-Food Item
+Delta,Mixed Goods,Non-Food Item
+Gaylord,Eggnog,Non-Food Item
+Small,"Cucumber, with peel, raw",Non-Food Item
+Sliced,"Beef, cured, dried",Non-Food Item
+Meat/Cheese Trays,Mixed Food Items,Non-Food Item
+Variety Pack,"Fruit mixture, dried",Non-Food Item
+Non Fat,"Milk, dry, nonfat, instant, with added vitamin A and vitamin D","Milk, nonfat, fluid, without added vitamin A and vitamin D (fat free or skim)"
+Substitute,Coffee substitute,Non-Food Item
+Mashed,"Potato, mashed, NFS",Non-Food Item
+Hand Sanitizer Wipes,Rice paper,Non-Food Item
+Peroxide,Vinegar,Non-Food Item
+Hand Sanitizer & Surface Cleaner,Vinegar,Non-Food Item
+Hand Sanitizer & Cleaning Spray,Vinegar,"Vinegar, distilled"
+Wipes and Hand Sanitizer,Miscellaneous Items,Non-Food Item
+Mineral Water & Misc,Mixed Food Items,Non-Food Item
+Half N Half & Whipping Cream,"Cream, half and half, flavored","Cream, half and half"
+Milk & Silk Milk,"Milk, producer, fluid, 3.7% milkfat",Non-Food Item
+"Milk, human, mature, fluid","Milk, human, mature, fluid","Milk, human"
+Tea & Misc,Mixed Food Items,"Beverages, tea, instant, unsweetened, prepared with water"

run.py

@@ -5,7 +5,8 @@ from db.db_utils import get_connection
 if __name__ == "__main__":
     db_conn = get_connection()
     algo = Algo(db_conn, True)
-    raw_file_name = 'food-forward-2022-raw-data.csv'
+    # raw_file_name = 'food-forward-2022-raw-data.csv'
+    raw_file_name = 'MFB-2022-raw-data.csv'
     input_file_path = f'./raw/{raw_file_name}'
     df_input = pd.read_csv(input_file_path)