Recovered state: integrated TrendSurferAgent, restored frontend/backend files, and cleaned up recovery scripts

backend/services/blog_writer/content/enhanced_content_generator.py

@@ -22,7 +22,7 @@ class EnhancedContentGenerator:
         self.transitioner = TransitionGenerator()
         self.flow = FlowAnalyzer()
 
-    async def generate_section(self, section: Any, research: Any, mode: str = "polished") -> Dict[str, Any]:
+    async def generate_section(self, section: Any, research: Any, mode: str = "polished", user_id: str = None) -> Dict[str, Any]:
         prev_summary = self.memory.build_previous_sections_summary(limit=2)
         urls = self.url_manager.pick_relevant_urls(section, research)
         prompt = self._build_prompt(section, research, prev_summary, urls)
@@ -33,6 +33,7 @@ class EnhancedContentGenerator:
                 prompt=prompt,
                 json_struct=None,
                 system_prompt=None,
+                user_id=user_id
             )
             if isinstance(ai_resp, dict) and ai_resp.get("text"):
                 content_text = ai_resp.get("text", "")

backend/services/blog_writer/content/medium_blog_generator.py

@@ -254,4 +254,35 @@ class MediumBlogGenerator:
             logger.warning(f"Failed to cache content result: {cache_error}")
             # Don't fail the entire operation if caching fails
         
+        # Save content to user workspace if db session is available
+        if user_id and db:
+            try:
+                # Construct full blog content
+                full_content = f"# {result.title}\n\n"
+                for section in result.sections:
+                    full_content += f"## {section.heading}\n\n"
+                    full_content += f"{section.content}\n\n"
+                
+                # Save to workspace
+                save_and_track_text_content(
+                    db=db,
+                    user_id=user_id,
+                    content=full_content,
+                    source_module="medium_blog_writer",
+                    title=result.title,
+                    description=f"Generated medium blog: {result.title}",
+                    tags=req.researchKeywords or ["medium_blog", "ai_generated"],
+                    asset_metadata={
+                        "model": result.model,
+                        "generation_time_ms": result.generation_time_ms,
+                        "word_count": sum(s.wordCount for s in result.sections)
+                    },
+                    subdirectory="medium_blogs"
+                )
+                logger.info(f"Saved medium blog content to user workspace for user {user_id}")
+            except Exception as e:
+                logger.error(f"Failed to save medium blog content to workspace: {e}")
+        elif not db:
+             logger.warning("Database session not provided, skipping workspace save for medium blog")
+
         return result