fix: yaml.dump width=1000 to prevent command string wrapping

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 []
@@ -191,7 +195,8 @@ def check_platform_verify(model_id: str) -> dict:
         resp = requests.get(url, headers=headers, params={'modelId': model_id}, timeout=10)
         data = resp.json()
         if data.get('code') == 0:
-            return data.get('data', {}).get('verifyResult', {})
+            result = data.get('data', {}).get('verifyResult', {})
+            return result if isinstance(result, dict) else {}
     except Exception:
         pass
     return {}
@@ -297,9 +302,7 @@ def build_config_params(gpu: str) -> str:
                     'gpu_num': 1,
                     'command': [
                         '/bin/bash', '-ic',
-                        'vllm serve /model --port 8000 --served-model-name llm '
-                        '--max-model-len 2048 --dtype auto --gpu-memory-utilization 0.95 '
-                        '-tp 1 --enforce-eager --trust-remote-code'
+                        'vllm serve /model --port 8000 --served-model-name llm --max-model-len 2048 --dtype auto --gpu-memory-utilization 0.95 -tp 1 --enforce-eager --trust-remote-code'
                     ]
                 }
             },
@@ -316,7 +319,7 @@ def build_config_params(gpu: str) -> str:
             },
             'model': 'llm',
         }
-    return yaml.dump(params, default_flow_style=False, allow_unicode=True)
+    return yaml.dump(params, default_flow_style=False, allow_unicode=True, width=1000)
 
 
 def submit_model(model_url: str, gpu: str, token: str) -> tuple:
@@ -728,9 +731,22 @@ def main():
             log(f"[ModelHub提交] ❌ error={e}")
 
         log("=" * 50)
-        log("连通性测试完成，请查看上方结果")
+        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: