Update kadiApy_ragchain.py

kadiApy_ragchain.py

@@ -244,14 +244,14 @@ class KadiApyRagchain:
 
 
     
-    def formulate_question(self, source_code):
+    def formulate_question(self, code_contexts):
         """
         Generate a response using the retrieved contexts and the LLM.
         """
         prompt = f"""
             You are a Python programming assistant specialized in the "Kadi-APY" library. 
             The "Kadi-APY" library is a Python package designed to facilitate interaction with the REST-like API of a software platform called Kadi4Mat. 
-            Your task is to formulate the next logical question a programmer would ask themselves to implement and run the method provided in the "context". 
+            Your task is to formulate the next logical question a programmer would ask themselves to implement and run the method provided in "Code-contexts". 
     
             "Context" contains snippets from the source code and metadata that provide details about the method.
     
@@ -260,8 +260,8 @@ class KadiApyRagchain:
                 - Focus on determining the entry point of the class to which the method belongs.
                 - Avoid vague or general questions; be precise about the next actionable steps.
     
-            Context:
-            {context}
+            Code-contexts:
+            {code_contexts}
         """
         return self.llm.invoke(prompt).content