Update learning_platform.py

learning_platform.py

@@ -45,6 +45,8 @@ Requirements:
 3. Practical applications
 4. Real-world examples
 5. A compelling description that excites the learner about the journey ahead
+6. Each module should contain content, quiz questions, and be designed to progressively enhance understanding.
+Return a structured JSON with detailed content for each module.
 """
 
     @staticmethod
@@ -59,6 +61,7 @@ Include:
 3. Key points that summarize each section concisely
 4. A set of 3-5 quiz questions for each section, with answers and explanations
 5. Encourage learners to think critically and ask questions related to '{title}'
+Return a structured JSON with detailed content for each section.
 """
 
     @staticmethod
@@ -85,7 +88,7 @@ class CourseBuilder:
         )
         self.prompts = CoursePrompts()
 
-    async def plan_course(self, topic: str, difficulty: str) -> Dict[str, Any]:
+    async def plan_course(self, topic: str, difficulty: str) -> LearningPath:
         prompt = self.prompts.course_planning_prompt().format(topic=topic, difficulty=difficulty)
         response = await self.llm.apredict(prompt)
         
@@ -100,13 +103,39 @@ class CourseBuilder:
         except json.JSONDecodeError as e:
             raise ValueError(f"Invalid JSON response from API: {str(e)}\nResponse: {response}")
 
+        modules = [
+            CourseModule(
+                title=module["title"],
+                objectives=module["objectives"],
+                prerequisites=module.get("prerequisites", []),
+                sections=[
+                    Section(
+                        title=section["title"],
+                        content=section["content"],
+                        key_points=section.get("key_points", []),
+                        examples=section.get("examples", []),
+                        quiz_questions=section.get("quiz_questions", [])
+                    ) for section in module.get("sections", [])
+                ]
+            ) for module in course_plan.get("modules", [])
+        ]
+
+        learning_path = LearningPath(
+            topic=topic,
+            description=course_plan.get("description", ""),
+            modules=modules,
+            difficulty_level=difficulty,
+            created_at=datetime.now(),
+            is_generating=False
+        )
+
         # Store embeddings for course plan for future reference
         self.vector_store.add_texts(
             [json.dumps(course_plan)],
             metadatas=[{"type": "course_plan", "topic": topic}]
         )
 
-        return course_plan
+        return learning_path
 
     async def create_module_content(self, module: CourseModule) -> List[Section]:
         prompt = self.prompts.module_content_prompt().format(
@@ -154,25 +183,8 @@ class LearningPlatform:
 
     async def create_course(self, topic: str, difficulty: str) -> LearningPath:
         try:
-            course_plan = await self.course_builder.plan_course(topic, difficulty)
-
-            modules = [
-                CourseModule(
-                    title=module["title"],
-                    objectives=module["objectives"],
-                    prerequisites=module.get("prerequisites", [])
-                ) for module in course_plan.get("modules", [])
-            ]
-
-            return LearningPath(
-                topic=topic,
-                description=course_plan.get("description", ""),
-                modules=modules,
-                difficulty_level=difficulty,
-                created_at=datetime.now(),
-                is_generating=False
-            )
-
+            learning_path = await self.course_builder.plan_course(topic, difficulty)
+            return learning_path
         except Exception as e:
             raise Exception(f"Course creation error: {str(e)}")