fix: page_size limit 50 for ModelScope API

main.py

@@ -121,12 +121,12 @@ def init_db():
 # ModelScope 搜索
 # ============================================================
 
-def search_models(keyword: str, limit: int = 100) -> list:
+def search_models(keyword: str, limit: int = 50) -> list:
     """从 ModelScope 搜索模型"""
     url = "https://modelscope.cn/openapi/v1/models"
     params = {
         'search': keyword,
-        'page_size': limit,
+        'page_size': min(limit, 50),  # API 上限 50
         'page_number': 1,
         'sort': 'downloads',
     }
@@ -135,7 +135,11 @@ def search_models(keyword: str, limit: int = 100) -> list:
                             headers={'User-Agent': 'Mozilla/5.0'})
         data = resp.json()
         if data.get('success'):
-            return data.get('data', {}).get('models', [])
+            models = data.get('data', {}).get('models', [])
+            log(f"  搜索 [{keyword}]: status={resp.status_code} models={len(models)}")
+            return models
+        else:
+            log(f"  搜索 [{keyword}]: success=false, data={str(data)[:200]}")
     except Exception as e:
         log(f"  搜索失败 [{keyword}]: {e}")
     return []
@@ -653,22 +657,98 @@ def main():
     log(f"STRATEGY_ID: {STRATEGY_ID}")
     log(f"GPU: {', '.join(GPU_CONFIGS.keys())}")
 
-    # 启动后自动执行一次提交流程（暂时禁用，用于测试连通性）
-    # def _auto_run():
-    #     time.sleep(3)
-    #     log("自动触发提交流程...")
-    #     try:
-    #         state['running'] = True
-    #         state['last_run'] = datetime.now().isoformat()
-    #         count = run_pipeline(submit_limit=30)
-    #         state['last_result'] = {'submitted': count, 'success': True}
-    #     except Exception as e:
-    #         log(f"流程异常: {traceback.format_exc()}")
-    #         state['last_result'] = {'error': str(e), 'success': False}
-    #     finally:
-    #         state['running'] = False
+    # 启动后自动运行连通性测试
+    def _startup_test():
+        time.sleep(2)
+        log("=" * 50)
+        log("连通性测试开始")
+        log("=" * 50)
 
-    # threading.Thread(target=_auto_run, daemon=True).start()
+        # 1. ModelScope 搜索
+        try:
+            resp = requests.get(
+                'https://modelscope.cn/openapi/v1/models',
+                params={'search': 'qwen', 'page_size': 2, 'sort': 'downloads'},
+                timeout=10, headers={'User-Agent': 'Mozilla/5.0'}
+            )
+            if resp.status_code == 200:
+                data = resp.json()
+                models = data.get('data', {}).get('models', [])
+                log(f"[ModelScope搜索] ✅ status={resp.status_code} models={len(models)}")
+                for m in models[:2]:
+                    log(f"  {m.get('id')} downloads={m.get('downloads')}")
+            else:
+                log(f"[ModelScope搜索] ❌ status={resp.status_code} body={resp.text[:100]}")
+        except Exception as e:
+            log(f"[ModelScope搜索] ❌ error={e}")
+
+        # 2. ModelScope config.json
+        try:
+            resp = requests.get(
+                'https://modelscope.cn/api/v1/models/Qwen/Qwen3-8B/repo?Revision=master&FilePath=config.json',
+                timeout=10
+            )
+            if resp.status_code == 200:
+                cfg = resp.json()
+                log(f"[ModelScope配置] ✅ arch={cfg.get('architectures')} type={cfg.get('model_type')}")
+            else:
+                log(f"[ModelScope配置] ❌ status={resp.status_code}")
+        except Exception as e:
+            log(f"[ModelScope配置] ❌ error={e}")
+
+        # 3. ModelHub 查询
+        try:
+            token = list(ACCOUNTS.values())[0]
+            resp = requests.get(
+                'https://modelhub.org.cn/api/adapt/task/page',
+                headers={'Xc-Token': token, 'Accept': 'application/json'},
+                params={'current': 1, 'pageSize': 1, 'onlyMine': 'true'},
+                timeout=10
+            )
+            data = resp.json()
+            if data.get('code') == 0:
+                log(f"[ModelHub查询] ✅ total={data['data'].get('total')}")
+            else:
+                log(f"[ModelHub查询] ❌ code={data.get('code')} msg={data.get('message','')[:80]}")
+        except Exception as e:
+            log(f"[ModelHub查询] ❌ error={e}")
+
+        # 4. ModelHub 提交
+        try:
+            token = list(ACCOUNTS.values())[0]
+            resp = requests.post(
+                'https://modelhub.org.cn/api/adapt/task/add',
+                headers={'Xc-Token': token, 'Accept': 'application/json', 'Content-Type': 'application/json'},
+                json={
+                    'modelAddress': 'https://www.modelscope.cn/models/Qwen/Qwen3-8B',
+                    'taskType': 'text-generation', 'targetGpu': 'Kunlunxin_p-800',
+                    'framework': 'vllm', 'strategyId': STRATEGY_ID,
+                    'configParams': 'framework: vllm\n',
+                }, timeout=10
+            )
+            data = resp.json()
+            log(f"[ModelHub提交] code={data.get('code')} msg={data.get('message','')[:80]}")
+        except Exception as e:
+            log(f"[ModelHub提交] ❌ error={e}")
+
+        log("=" * 50)
+        log("连通性测试完成")
+        log("=" * 50)
+
+        # 开始正式提交流程
+        log("\n自动触发提交流程...")
+        try:
+            state['running'] = True
+            state['last_run'] = datetime.now().isoformat()
+            count = run_pipeline(submit_limit=30)
+            state['last_result'] = {'submitted': count, 'success': True}
+        except Exception as e:
+            log(f"流程异常: {traceback.format_exc()}")
+            state['last_result'] = {'error': str(e), 'success': False}
+        finally:
+            state['running'] = False
+
+    threading.Thread(target=_startup_test, daemon=True).start()
 
     while not shutdown_requested:
         server.handle_request()