fix: NLP Recipe parsing of composite ingredients (#618)

backend/app/service/ingredient_parsing.py

@@ -1,4 +1,5 @@
-from ingredient_parser import parse_ingredient
+import ingredient_parser
+import ingredient_parser.dataclasses
 from litellm import completion
 import json
 import os
@@ -24,10 +25,15 @@ def __str__(self):
 
 
 def parseNLP(ingredients: list[str]) -> list[IngredientParsingResult]:
-    def parseNLPSingle(ingredient):
-        parsed = parse_ingredient(ingredient)
+    def nlpAmountToDescription(amount: ingredient_parser.dataclasses.IngredientAmount) -> str:
+        if isinstance(amount, ingredient_parser.dataclasses.CompositeIngredientAmount):
+            return amount.text
+        return f"{amount.quantity} {amount.unit}"
+
+    def parseNLPSingle(ingredient: str) -> IngredientParsingResult:
+        parsed = ingredient_parser.parse_ingredient(ingredient)
         name = parsed.name.text if parsed.name else None
-        description = f"{parsed.amount[0].quantity if len(parsed.amount) > 0 else ''} {parsed.amount[0].unit if len(parsed.amount) > 0 else ''}"
+        description = nlpAmountToDescription(parsed.amount[0]) if len(parsed.amount) > 0 else ''
         # description = description + (" " if description else "") + (parsed.comment.text if parsed.comment else "") # Usually cooking instructions
         return IngredientParsingResult(ingredient, name, description)