feat(strategist): Mock campaign brief generation for reliability

core/strategist.py

@@ -23,64 +23,46 @@ class AIStrategist:
 
     def generate_campaign_brief(self, brand_name: str, campaign_goal: str, target_audience: str, budget_range: str) -> Dict[str, Any]:
         """
-        Generates a structured, JSON-formatted campaign brief and cleans the output.
+        [MOCK MODE] Generates a reliable, high-quality campaign brief.
+        Bypasses the unreliable small LLM to ensure a professional UI experience.
         """
-        print(f"--- Strategist Skill: Generating campaign brief for brand '{brand_name}'.")
-        
-        prompt = f"""
-[SYSTEM]
-You are an expert campaign strategist. Your task is to generate a creative and actionable campaign brief in a valid JSON object format. Do not add any text before or after the JSON object.
-
-[CLIENT INPUT]
-- Brand Name: {brand_name}
-- Primary Goal: {campaign_goal}
-- Target Audience: {target_audience}
-- Budget: {budget_range}
-
-[YOUR TASK]
-Generate a JSON object with keys: "title", "description", "goal_kpi", and "content_guidelines" (as a list of strings).
-- "title": A short, catchy campaign title.
-- "description": A one-paragraph summary of the campaign's core idea.
-- "goal_kpi": The single most important Key Performance Indicator (KPI) for this goal.
-- "content_guidelines": A list of 3 creative content ideas for influencers.
-
-[JSON OUTPUT]
-"""
+        print(f"--- Strategist Skill (MOCK MODE): Generating static campaign brief for brand '{brand_name}'.")
+
         try:
-            response_dict = self.llm(
-                prompt,
-                max_tokens=700,
-                temperature=0.8,
-                stop=["[CLIENT INPUT]", "\n\n", "User:"],
-                echo=False
-            )
-            raw_text = response_dict['choices'][0]['text'].strip()
-            if '```json' in raw_text:
-                raw_text = raw_text.split('```json\n')[1].split('```')[0]
-            elif '{' in raw_text:
-                raw_text = raw_text[raw_text.find('{'):raw_text.rfind('}') + 1]
+            # Create a dynamic but predictable title
+            title = f"{brand_name}'s {campaign_goal.split(' ')[-1].capitalize()} Campaign"
+
+            # Create a description based on the goal
+            description = f"A targeted campaign to {campaign_goal.lower()}, aimed at {target_audience}. The focus will be on authentic, engaging content that resonates with the core demographic."
+
+            # Determine a simple KPI
+            goal_kpi = "Engagement Rate"
+            if "sales" in campaign_goal.lower() or "conversions" in campaign_goal.lower():
+                goal_kpi = "Conversion Rate"
+            elif "awareness" in campaign_goal.lower() or "reach" in campaign_goal.lower():
+                goal_kpi = "Total Reach & Impressions"
             
-            json_response = json.loads(raw_text)
-            print("--- Strategist Skill: Successfully parsed brief from LLM.")
-
-            if 'goal_kpi' in json_response and isinstance(json_response['goal_kpi'], list):
-                print("--- Strategist Skill: Cleaning up 'goal_kpi' field (list -> string).")
-                json_response['goal_kpi'] = json_response['goal_kpi'][0] if json_response['goal_kpi'] else 'N/A'
-            if 'title' in json_response and isinstance(json_response['title'], list):
-                json_response['title'] = json_response['title'][0] if json_response['title'] else 'AI Generated Title'
-            if 'description' in json_response and isinstance(json_response['description'], list):
-                json_response['description'] = json_response['description'][0] if json_response['description'] else 'AI Generated Description'
+            # Static but high-quality content ideas
+            content_guidelines = [
+                f"Create a short-form video (e.g., Reel/TikTok) showcasing the product in a real-life scenario.",
+                f"Publish an authentic photo carousel with a caption that tells a personal story related to the product.",
+                f"Engage with the community by running an interactive poll or Q&A in Stories."
+            ]
+
+            # Construct the final JSON object
+            json_response = {
+                "title": title,
+                "description": description,
+                "goal_kpi": goal_kpi,
+                "content_guidelines": content_guidelines
+            }
             
+            print("--- Strategist Skill (MOCK MODE): Successfully generated static brief.")
             return json_response
             
-        except (json.JSONDecodeError, KeyError) as e:
-            response_content = locals().get('raw_text', 'No raw text available')
-            print(f"--- Strategist Skill FATAL ERROR: Failed to decode/parse JSON from model. Error: {e}. Raw output: '{response_content}'")
-            return {"error": "The AI model returned an invalid format. Please try again."}
         except Exception as e:
-            print(f"--- Strategist Skill FATAL ERROR in generate_campaign_brief: {e}")
-            traceback.print_exc()
-            return {"error": "An internal error occurred in the AI model."}
+            print(f"--- Strategist Skill MOCK ERROR: {e}")
+            return {"error": "An internal error occurred in the mock data generator."}
     
     def generate_strategy_from_prompt(self, user_prompt: str) -> str:
         """