Update utils/optimizer.py

utils/optimizer.py

@@ -138,47 +138,47 @@ class ContentOptimizer:
     
     def _standard_optimization(self, content: str, analyze_only: bool, include_keywords: bool) -> Dict[str, Any]:
     """Standard content optimization using enhancement prompt"""
-    try:
-        if analyze_only:
-            prompt_text = self.enhancement_prompt
-            prompt_text = prompt_text.replace(
-                "Rewrite the text to improve:",
-                "Analyze the text for potential improvements in:"
-            ).replace(
-                '"optimized_text": "..."',
-                '"optimization_suggestions": ["suggestion 1", "suggestion 2"]'
-            )
-            if not include_keywords:
+        try:
+            if analyze_only:
+                prompt_text = self.enhancement_prompt
                 prompt_text = prompt_text.replace(
-                    '"keywords": ["example", "installation", "setup"],',
-                    ''
+                    "Rewrite the text to improve:",
+                    "Analyze the text for potential improvements in:"
+                ).replace(
+                    '"optimized_text": "..."',
+                    '"optimization_suggestions": ["suggestion 1", "suggestion 2"]'
                 )
-        else:
-            # Use dedicated rewrite prompt for optimization
-            prompt_text = self.optimization_rewrite_prompt
+                if not include_keywords:
+                    prompt_text = prompt_text.replace(
+                        '"keywords": ["example", "installation", "setup"],',
+                        ''
+                    )
+            else:
+                # Use dedicated rewrite prompt for optimization
+                prompt_text = self.optimization_rewrite_prompt
 
-        prompt_template = ChatPromptTemplate.from_messages([
-            SystemMessagePromptTemplate.from_template(prompt_text),
-            HumanMessagePromptTemplate.from_template(content[:6000])
-        ])
+            prompt_template = ChatPromptTemplate.from_messages([
+                SystemMessagePromptTemplate.from_template(prompt_text),
+                HumanMessagePromptTemplate.from_template(content[:6000])
+            ])
 
-        chain = prompt_template | self.llm
-        result = chain.invoke({})
+            chain = prompt_template | self.llm
+            result = chain.invoke({})
 
-        result_content = result.content if hasattr(result, 'content') else str(result)
-        parsed_result = self._parse_optimization_result(result_content)
+            result_content = result.content if hasattr(result, 'content') else str(result)
+            parsed_result = self._parse_optimization_result(result_content)
 
-        parsed_result.update({
-            'optimization_type': 'standard',
-            'analyze_only': analyze_only,
-            'original_length': len(content),
-            'original_word_count': len(content.split())
-        })
+            parsed_result.update({
+                'optimization_type': 'standard',
+                'analyze_only': analyze_only,
+                'original_length': len(content),
+                'original_word_count': len(content.split())
+            })
 
-        return parsed_result
+            return parsed_result
 
-    except Exception as e:
-        return {'error': f"Standard optimization failed: {str(e)}"}
+        except Exception as e:
+            return {'error': f"Standard optimization failed: {str(e)}"}
     def _seo_style_optimization(self, content: str, analyze_only: bool) -> Dict[str, Any]:
         """SEO-focused optimization for AI search engines"""
         try: