add special case for usda

algo.py

@@ -33,6 +33,22 @@ class Algo:
         df_results.to_csv(output_file_path, index=False)
 
     def perform_mapping(self, input_word, attempts=0):
+
+        # if the input word is a USDA food item, we can skip the similarity check
+        # this is a special case because the USDA food items are Government Donation (Not Counted) items
+        if 'usda' in input_word.lower():
+            return {
+                'input_word': input_word, 
+                'cleaned_word': clean_word(input_word), 
+                'matching_word': 'USDA Food Item', 
+                'dictionary_word': 'USDA Food Item', 
+                'similarity_score': 1.0, 
+                'confidence_score': 1.0, 
+                'similar_words': None,
+                'is_food': True,
+                'food_nonfood_score': 1.0
+            }
+
         mapping = self.similarity_fast.find_most_similar_word(input_word)
 
         # skip slow mapping for now
@@ -205,7 +221,6 @@ class Algo:
         if mapping:
             print(f" - Found mapping in db: {mapping}")
             return self.wrap_mapping_with_dictionary_data(mapping)
-            
 
         food_nonfood = classify_as_food_nonfood(input_word)