fix: 2-phase model/space fetch — basic info immediate + LLM best-effort + sort fallback (resolves empty models/spaces issue)

app.py

@@ -1369,37 +1369,63 @@ class LLMAnalyzer:
             print("⚠️ FIREWORKS_API_KEY 환경변수가 설정되지 않았습니다. 템플릿 모드로 동작합니다.")
     
     def call_llm(self, messages: List[Dict], max_tokens: int = 2000) -> str:
-        """Fireworks AI API 호출"""
+        """Fireworks AI API 호출 — 다중 모델 fallback (404 등 모델 deprecate 대응)"""
         if not self.api_available:
             return None
-        
-        try:
-            payload = {
-                "model": "accounts/fireworks/models/qwen3-235b-a22b-instruct-2507",
-                "max_tokens": max_tokens,
-                "top_p": 1,
-                "top_k": 40,
-                "presence_penalty": 0,
-                "frequency_penalty": 0,
-                "temperature": 0.6,
-                "messages": messages
-            }
-            
-            headers = {
-                "Accept": "application/json",
-                "Content-Type": "application/json",
-                "Authorization": f"Bearer {self.api_key}"
-            }
-            
-            response = requests.post(self.api_url, headers=headers, json=payload, timeout=30)
-            response.raise_for_status()
-            
-            result = response.json()
-            return result['choices'][0]['message']['content']
-            
-        except Exception as e:
-            print(f"  ⚠️ LLM API 호출 오류: {e}")
-            return None
+
+        # 모델 후보 — 첫 번째부터 시도, 404/실패 시 다음 모델로
+        model_candidates = [
+            "accounts/fireworks/models/qwen3-235b-a22b-instruct-2507",
+            "accounts/fireworks/models/qwen3-235b-a22b",
+            "accounts/fireworks/models/qwen3-30b-a3b-instruct-2507",
+            "accounts/fireworks/models/qwen2p5-72b-instruct",
+            "accounts/fireworks/models/llama-v3p3-70b-instruct",
+            "accounts/fireworks/models/deepseek-v3-0324",
+        ]
+
+        headers = {
+            "Accept": "application/json",
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {self.api_key}"
+        }
+
+        last_err = None
+        for model in model_candidates:
+            try:
+                payload = {
+                    "model": model,
+                    "max_tokens": max_tokens,
+                    "top_p": 1,
+                    "top_k": 40,
+                    "presence_penalty": 0,
+                    "frequency_penalty": 0,
+                    "temperature": 0.6,
+                    "messages": messages
+                }
+
+                response = requests.post(self.api_url, headers=headers, json=payload, timeout=30)
+                # 404 (모델 미존재/deprecate) → 다음 모델 시도
+                if response.status_code == 404:
+                    last_err = f"404 {model}"
+                    continue
+                response.raise_for_status()
+
+                result = response.json()
+                return result['choices'][0]['message']['content']
+
+            except requests.exceptions.HTTPError as e:
+                # 4xx 류는 다음 모델 시도
+                if e.response is not None and e.response.status_code in (400, 404, 410):
+                    last_err = f"{e.response.status_code} {model}"
+                    continue
+                last_err = str(e)
+                break  # 5xx/타임아웃 등은 즉시 종료
+            except Exception as e:
+                last_err = str(e)
+                break
+
+        print(f"  ⚠️ LLM API 호출 오류: 모든 모델 fallback 실패 (last: {last_err})")
+        return None
     
     def fetch_model_card(self, model_id: str) -> str:
         """허깅페이스 모델 카드(README.md) 가져오기"""
@@ -1992,20 +2018,22 @@ class AdvancedAIAnalyzer:
         # ===== PHASE 1: HF API에서 기본 정보 즉시 수집 =====
         try:
             api = HfApi()
+            # 새 huggingface_hub는 'direction' 키워드 미지원 → 제거
             try:
                 models = list(api.list_models(
                     sort="trending_score",
-                    direction=-1,
                     limit=limit
                 ))
             except (TypeError, Exception) as e_sort:
-                # trending_score 미지원 huggingface_hub 버전 fallback
                 print(f"  ⚠️ trending_score sort 미지원 ({e_sort}), downloads로 fallback")
-                models = list(api.list_models(
-                    sort="downloads",
-                    direction=-1,
-                    limit=limit
-                ))
+                try:
+                    models = list(api.list_models(
+                        sort="downloads",
+                        limit=limit
+                    ))
+                except Exception as e2:
+                    print(f"  ⚠️ downloads sort도 실패 ({e2}), 기본 list로 fallback")
+                    models = list(api.list_models(limit=limit))
 
             print(f"📊 API에서 {len(models)}개 모델 받음")
 
@@ -2081,16 +2109,18 @@ class AdvancedAIAnalyzer:
             try:
                 spaces = list(api.list_spaces(
                     sort="trending_score",
-                    direction=-1,
                     limit=limit
                 ))
             except (TypeError, Exception) as e_sort:
                 print(f"  ⚠️ trending_score sort 미지원 ({e_sort}), likes로 fallback")
-                spaces = list(api.list_spaces(
-                    sort="likes",
-                    direction=-1,
-                    limit=limit
-                ))
+                try:
+                    spaces = list(api.list_spaces(
+                        sort="likes",
+                        limit=limit
+                    ))
+                except Exception as e2:
+                    print(f"  ⚠️ likes sort도 실패 ({e2}), 기본 list로 fallback")
+                    spaces = list(api.list_spaces(limit=limit))
 
             print(f"📊 API에서 {len(spaces)}개 스페이스 받음")