fix: onboarding passes product_info dict; marketing service template fallback when no AI; frontend style-switching tabs

backend/app/services/marketing.py

@@ -7,7 +7,9 @@ logger = logging.getLogger(__name__)
 
 class MarketingService:
     def __init__(self):
-        self.ai = get_ai_router()
+        ai_router = get_ai_router()
+        self.ai = ai_router
+        self._ai_available = len(ai_router.providers) > 0
 
     async def generate(
         self,
@@ -18,6 +20,12 @@ class MarketingService:
         count: int = 3,
         preference_context: Optional[str] = None,
     ) -> List[Dict[str, Any]]:
+        name = product_info.get("name", "")
+        desc = product_info.get("description", "")
+
+        if not self._ai_available:
+            return self._template_fallback(name, desc, target, style, count, language)
+
         results = []
         styles = self._get_style_variants(style, count)
 
@@ -35,9 +43,44 @@ class MarketingService:
 
         return results
 
+    def _template_fallback(self, name: str, desc: str, target: str, style: str, count: int, language: str) -> List[Dict[str, Any]]:
+        styles = self._get_style_variants(style, count)
+        results = []
+        for s in styles:
+            if language == "zh":
+                results.append({
+                    "content": f"【{name}】产品介绍\n\n{desc}\n\n我们诚挚向您推荐{name}，产品品质优良，价格具有竞争力，欢迎联系我们获取更多信息。",
+                    "style": s,
+                    "provider": "template",
+                })
+            else:
+                results.append({
+                    "content": f"Subject: Introduction of {name}\n\nDear Customer,\n\nWe are pleased to introduce our {name}. {desc}\n\n{self._get_closing(s)}",
+                    "style": s,
+                    "provider": "template",
+                })
+        return results
+
+    def _get_closing(self, style: str) -> str:
+        closings = {
+            "professional": "Looking forward to your favorable reply. Best regards.",
+            "friendly": "Hope to hear from you soon! Warm regards.",
+            "urgent": "Please contact us at your earliest convenience. Best regards.",
+            "benefit_focused": "Don't miss this opportunity to boost your business. Contact us today!",
+            "storytelling": "Let us help you tell your brand story. Get in touch!",
+        }
+        return closings.get(style, closings["professional"])
+
     async def generate_keywords(
         self, product_info: Dict[str, Any], language: str = "en", count: int = 10
     ) -> List[str]:
+        name = product_info.get("name", "")
+        desc = product_info.get("description", "")
+
+        if not self._ai_available:
+            words = name.split() + [w for w in desc.split() if len(w) > 4]
+            return list(dict.fromkeys(words))[:count]
+
         try:
             schema = {
                 "type": "object",
@@ -48,7 +91,7 @@ class MarketingService:
                     }
                 },
             }
-            text = f"Product: {product_info.get('name', '')}. {product_info.get('description', '')}"
+            text = f"Product: {name}. {desc}"
             result = await self.ai.extract(text, schema)
             keywords = result.get("data", {}).get("keywords", [])
             return keywords[:count]
@@ -66,6 +109,14 @@ class MarketingService:
     async def analyze_competitors(
         self, product_info: Dict[str, Any], market: str = "US"
     ) -> Dict[str, Any]:
+        if not self._ai_available:
+            return {
+                "price_range": "Contact us for pricing",
+                "key_selling_points": [product_info.get("name", "")],
+                "common_keywords": [],
+                "market_trends": "AI analysis unavailable. Please configure an AI provider in settings.",
+                "suggestions": ["Set up an AI provider for competitor insights"],
+            }
         try:
             text = f"Product: {product_info.get('name', '')} in {market} market. Category: {product_info.get('category', '')}. Description: {product_info.get('description', '')}"
             schema = {

backend/app/services/onboarding.py

@@ -35,11 +35,10 @@ class OnboardingService:
         await self.db.flush()
 
         mkt = MarketingService()
+        product_info = {"name": name, "description": description, "category": category or "general"}
         try:
             content = await mkt.generate(
-                product_name=name,
-                description=description,
-                category=category or "general",
+                product_info=product_info,
                 target=target,
                 style="professional",
                 count=3,
@@ -51,7 +50,7 @@ class OnboardingService:
 
         try:
             keywords_result = await mkt.generate_keywords(
-                product_name=name, description=description, category=category or "general"
+                product_info=product_info
             )
             keywords = keywords_result if isinstance(keywords_result, list) else []
         except Exception as e: