4

backend/igny8_core/ai/functions/auto_cluster.py

@@ -121,6 +121,12 @@ class AutoClusterFunction(BaseAIFunction):
             context=context
         )
         
+        # Verify placeholder replacement
+        if '[IGNY8_KEYWORDS]' in prompt:
+            logger.error(f"[IGNY8_KEYWORDS] placeholder NOT replaced! Prompt length: {len(prompt)}")
+        else:
+            logger.info(f"Prompt placeholder replaced successfully. Prompt length: {len(prompt)}, Keywords text length: {len(keywords_text)}")
+        
         # IMPORTANT: When using JSON mode, OpenAI requires explicit JSON instruction
         # The prompt template already includes "Format the output as a JSON object"
         # but we need to ensure it's explicit for JSON mode compliance

backend/igny8_core/ai/prompts.py

@@ -195,6 +195,16 @@ Make sure each prompt is detailed enough for image generation, describing the vi
         if not context:
             return prompt_template
         
+        rendered = prompt_template
+        
+        # Step 1: Replace [IGNY8_*] placeholders first (always do this)
+        for key, value in context.items():
+            placeholder = f'[IGNY8_{key.upper()}]'
+            if placeholder in rendered:
+                rendered = rendered.replace(placeholder, str(value))
+                logger.debug(f"Replaced placeholder {placeholder} with {len(str(value))} characters")
+        
+        # Step 2: Try .format() style for {variable} placeholders (if any remain)
         # Normalize context keys - convert UPPER to lowercase for .format()
         normalized_context = {}
         for key, value in context.items():
@@ -202,17 +212,15 @@ Make sure each prompt is detailed enough for image generation, describing the vi
             normalized_context[key] = value
             normalized_context[key.lower()] = value
         
-        # Try .format() style first (for {variable} placeholders)
-        try:
-            return prompt_template.format(**normalized_context)
-        except (KeyError, ValueError):
-            # Fall back to simple string replacement for [IGNY8_*] placeholders
-            rendered = prompt_template
-            for key, value in context.items():
-                placeholder = f'[IGNY8_{key.upper()}]'
-                if placeholder in rendered:
-                    rendered = rendered.replace(placeholder, str(value))
-            return rendered
+        # Only try .format() if there are {variable} placeholders
+        if '{' in rendered and '}' in rendered:
+            try:
+                rendered = rendered.format(**normalized_context)
+            except (KeyError, ValueError) as e:
+                # If .format() fails, log warning but keep the [IGNY8_*] replacements
+                logger.warning(f"Failed to format prompt with .format(): {e}. Using [IGNY8_*] replacements only.")
+        
+        return rendered
     
     @classmethod
     def get_image_prompt_template(cls, account: Optional[Any] = None) -> str:

backend/igny8_core/modules/planner/tasks.py

@@ -25,9 +25,19 @@ except ImportError:
         return decorator
 
 
+# ============================================================================
+# DEPRECATED: This function is deprecated. Use the new AI framework instead.
+# New path: views.py -> run_ai_task -> AIEngine -> AutoClusterFunction
+# This function is kept for backward compatibility but should not be used.
+# ============================================================================
 def _auto_cluster_keywords_core(keyword_ids: List[int], sector_id: int = None, account_id: int = None, progress_callback=None):
     """
-    Core logic for clustering keywords. Can be called with or without Celery.
+    [DEPRECATED] Core logic for clustering keywords. Can be called with or without Celery.
+    
+    ⚠️  WARNING: This function is deprecated. Use the new AI framework instead:
+    - New path: views.py -> run_ai_task -> AIEngine -> AutoClusterFunction
+    - This function uses the old AIProcessor and does not use PromptRegistry
+    - Console logging may not work correctly in this path
     
     Args:
         keyword_ids: List of keyword IDs to cluster
@@ -634,10 +644,18 @@ def _auto_cluster_keywords_core(keyword_ids: List[int], sector_id: int = None, a
 
 
 @shared_task(bind=True, max_retries=3)
+# ============================================================================
+# DEPRECATED: This Celery task is deprecated. Use run_ai_task instead.
+# New path: views.py -> run_ai_task -> AIEngine -> AutoClusterFunction
+# ============================================================================
 def auto_cluster_keywords_task(self, keyword_ids: List[int], sector_id: int = None, account_id: int = None):
     """
-    Celery task wrapper for clustering keywords using AI.
-    Calls the core function with progress callback.
+    [DEPRECATED] Celery task wrapper for clustering keywords using AI.
+    
+    ⚠️  WARNING: This task is deprecated. Use the new AI framework instead:
+    - New path: views.py -> run_ai_task -> AIEngine -> AutoClusterFunction
+    - This task uses the old _auto_cluster_keywords_core function
+    - Console logging may not work correctly in this path
     
     Args:
         keyword_ids: List of keyword IDs to cluster

backend/igny8_core/utils/ai_processor.py

@@ -1053,7 +1053,13 @@ Make sure each prompt is detailed enough for image generation, describing the vi
         **kwargs
     ) -> Dict[str, Any]:
         """
-        Cluster keywords using AI-based semantic similarity.
+        [DEPRECATED] Cluster keywords using AI-based semantic similarity.
+        
+        ⚠️  WARNING: This method is deprecated. Use the new AI framework instead:
+        - New path: views.py -> run_ai_task -> AIEngine -> AutoClusterFunction
+        - This method uses the old prompt system and does not use PromptRegistry
+        - Console logging may not work correctly in this path
+        
         Based on reference plugin's clustering prompt.
         
         Args:
@@ -1064,6 +1070,7 @@ Make sure each prompt is detailed enough for image generation, describing the vi
         Returns:
             Dict with 'clusters' (list of cluster dicts with name, description, keywords)
         """
+        logger.warning("AIProcessor.cluster_keywords is deprecated. Use the new AI framework (AutoClusterFunction) instead.")
         if not keywords:
             return {
                 'clusters': [],