Update agents/topic_agent.py

agents/topic_agent.py

@@ -1,6 +1,5 @@
-# agents/topic_agent.py
-import openai
 import json
+import openai
 
 class TopicAgent:
     def __init__(self, api_key=None):
@@ -11,24 +10,51 @@ class TopicAgent:
         if not openai.api_key:
             return self._mock_outline(topic, duration, difficulty)
             
-        response = openai.ChatCompletion.create(
-            model="gpt-4",
-            messages=[
-                {"role": "system", "content": "You're an expert corporate trainer creating AI workshop outlines"},
-                {"role": "user", "content": (
-                    f"Create a {duration}-hour {difficulty} workshop outline on {topic}. "
-                    "Include: 1) Key learning goals, 2) 4 modules with titles and durations, "
-                    "3) Hands-on exercises per module. Output as JSON."
-                )}
-            ]
-        )
-        return json.loads(response.choices[0].message.content)
+        try:
+            response = openai.ChatCompletion.create(
+                model="gpt-4",
+                messages=[
+                    {"role": "system", "content": "You're an expert corporate trainer creating AI workshop outlines"},
+                    {"role": "user", "content": (
+                        f"Create a {duration}-hour {difficulty} workshop outline on {topic}. "
+                        "Include: 1) Key learning goals, 2) 4 modules with titles and durations, "
+                        "3) Hands-on exercises per module. Output as JSON."
+                    )}
+                ]
+            )
+            return json.loads(response.choices[0].message.content)
+        except:
+            return self._mock_outline(topic, duration, difficulty)
     
     def _mock_outline(self, topic, duration, difficulty):
         return {
             "topic": topic,
             "duration": f"{duration} hours",
             "difficulty": difficulty,
-            "goals": ["Goal 1", "Goal 2"],
-            "modules": [{"title": "Module 1", "duration": "30 min"}]
+            "goals": [
+                f"Master advanced {topic} techniques",
+                "Develop industry-specific applications",
+                "Build and evaluate complex AI workflows",
+                "Implement best practices for production"
+            ],
+            "modules": [
+                {
+                    "title": f"Fundamentals of {topic}",
+                    "duration": "30 min",
+                    "learning_points": [
+                        "Core principles and terminology",
+                        "Patterns and anti-patterns",
+                        "Evaluation frameworks"
+                    ]
+                },
+                {
+                    "title": f"{topic} for Enterprise Applications",
+                    "duration": "45 min",
+                    "learning_points": [
+                        "Industry-specific use cases",
+                        "Integration with existing systems",
+                        "Scalability considerations"
+                    ]
+                }
+            ]
         }