fix a bug for string format (#1199)

Co-authored-by: Nheliqi <1101791222@qq.com>

visualdl/component/inference/fastdeploy_client/http_client_manager.py

@@ -307,8 +307,8 @@ class HttpClientManager:
             return fastdeploy_client
         except Exception:
             raise RuntimeError(
-                'Can not connect to server {}, please check your \
-                    server address'.format(server_url))
+                'Can not connect to server {}, please check your '
+                'server address'.format(server_url))
 
     def infer(self, server_url, model_name, model_version, inputs):
         fastdeploy_client = self._create_client(server_url)

visualdl/component/inference/fastdeploy_client/visualizer.py

@@ -27,8 +27,8 @@ def visualize_detection(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     boxes = np.array(data['boxes'])
     scores = np.array(data['scores'])
     label_ids = np.array(data['label_ids'])
@@ -49,8 +49,8 @@ def visualize_keypoint_detection(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     keypoints = np.array(data['keypoints'])
     scores = np.array(data['scores'])
     num_joints = np.array(data['num_joints'])
@@ -69,8 +69,8 @@ def visualize_face_detection(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     data = np.array(data['data'])
     scores = np.array(data['scores'])
     landmarks = np.array(data['landmarks'])
@@ -91,8 +91,8 @@ def visualize_face_alignment(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     landmarks = np.array(data['landmarks'])
 
     facealignment_result = fd.C.vision.FaceAlignmentResult()
@@ -107,8 +107,8 @@ def visualize_segmentation(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     label_ids = np.array(data['label_ids'])
     score_map = np.array(data['score_map'])
     shape = np.array(data['shape'])
@@ -127,8 +127,8 @@ def visualize_matting(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     alpha = np.array(data['alpha'])
     foreground = np.array(data['foreground'])
     contain_foreground = data['contain_foreground']
@@ -149,8 +149,8 @@ def visualize_ocr(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     boxes = np.array(data['boxes'])
     text = np.array(data['text'])
     rec_scores = np.array(data['rec_scores'])
@@ -173,8 +173,8 @@ def visualize_headpose(image, data):
         import fastdeploy as fd
     except Exception:
         raise RuntimeError(
-            "fastdeploy is required for visualizing results，please refer to \
-        https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+            "fastdeploy is required for visualizing results，please refer to "
+            "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
     euler_angles = np.array(data['euler_angles'])
 
     headpose_result = fd.C.vision.HeadPoseResult()

visualdl/component/inference/fastdeploy_lib.py

@@ -467,14 +467,20 @@ def launch_process(kwargs: dict):
     logfilename = 'logfile-{}'.format(get_random_string(8))
     while os.path.exists(os.path.join(FASTDEPLOYSERVER_PATH, logfilename)):
         logfilename = 'logfile-{}'.format(get_random_string(8))
-    p = Popen(
-        cmd,
-        stdout=open(
-            os.path.join(FASTDEPLOYSERVER_PATH, logfilename), 'w',
-            buffering=1),
-        stderr=STDOUT,
-        universal_newlines=True,
-        env=launch_env)
+    try:
+        p = Popen(
+            cmd,
+            stdout=open(
+                os.path.join(FASTDEPLOYSERVER_PATH, logfilename),
+                'w',
+                buffering=1),
+            stderr=STDOUT,
+            universal_newlines=True,
+            env=launch_env)
+    except Exception:
+        raise RuntimeError(
+            "Failed to launch fastdeployserver，please check fastdeployserver is installed in environment."
+        )
     server_name = start_args['server-name'] if start_args[
         'server-name'] else p.pid
     with open(

visualdl/component/inference/fastdeploy_server.py

@@ -156,8 +156,8 @@ class FastDeployServerApi(object):
         self._poll_zombie_process()
         if check_process_zombie(server_id) is True:
             raise RuntimeError(
-                "Server {} is down due to exception or killed，please check the reason according to the log, \
-                then close this server.".format(server_id))
+                "Server {} is down due to exception or killed，please check the reason according to the log, "
+                "then close this server.".format(server_id))
         return
 
     @result()
@@ -207,8 +207,9 @@ class FastDeployServerApi(object):
             import fastdeploy as fd
         except Exception:
             raise RuntimeError(
-                "fastdeploy is required for visualizing results，please refer to \
-            https://github.com/PaddlePaddle/FastDeploy to install fastdeploy")
+                "fastdeploy is required for visualizing results，please refer to "
+                "https://github.com/PaddlePaddle/FastDeploy to install fastdeploy"
+            )
         model_path = fd.download_model(
             name=pretrain_model_name, path=version_resource_dir)
         if model_path:

visualdl/component/inference/model_convert_server.py

@@ -47,8 +47,8 @@ class ModelConvertApi(object):
         file_handle = request.files['file']
         data = file_handle.stream.read()
         if format not in self.supported_formats:
-            raise RuntimeError('Model format {} is not supported. \
-          Only onnx and caffe models are supported now.'.format(format))
+            raise RuntimeError('Model format {} is not supported. "\
+          "Only onnx and caffe models are supported now.'.format(format))
         result = {}
         result['from'] = format
         result['to'] = 'paddle'
@@ -99,14 +99,14 @@ class ModelConvertApi(object):
                                         dirname, filename)
                         if prototxt_path is None or weight_path is None:
                             raise RuntimeError(
-                                ".prototxt or .caffemodel file is missing in your archive file, \
-                please check files uploaded.")
+                                ".prototxt or .caffemodel file is missing in your archive file, "
+                                "please check files uploaded.")
                         caffe2paddle(prototxt_path, weight_path, target_path,
                                      None)
             except Exception as e:
                 raise RuntimeError(
-                    "[Convertion error] {}.\n Please open an issue at \
-                        https://github.com/PaddlePaddle/X2Paddle/issues to report your problem."
+                    "[Convertion error] {}.\n Please open an issue at "
+                    "https://github.com/PaddlePaddle/X2Paddle/issues to report your problem."
                     .format(e))
         with self.lock:  # we need to enter dirname(target_path) to archive,
             # in case unneccessary directory added in archive.

visualdl/component/profiler/profiler_reader.py

@@ -202,9 +202,9 @@ class ProfilerReader(object):
                         try:
                             import paddle
                         except Exception as e:
-                            print('Paddle is required to read protobuf file.\
-                                Please install [paddlepaddle](https://www.paddlepaddle.org.cn/install/quick?\
-                                    docurl=/documentation/docs/zh/develop/install/pip/linux-pip.html) first.'
+                            print('Paddle is required to read protobuf file. "\
+                                "Please install [paddlepaddle](https://www.paddlepaddle.org.cn/install/quick?"\
+                                    "docurl=/documentation/docs/zh/develop/install/pip/linux-pip.html) first.'
                                   )
                             raise RuntimeError(str(e))
                         if packaging.version.parse(
@@ -223,10 +223,10 @@ class ProfilerReader(object):
                             profile_result = ProfilerResult(content)
                         except Exception as e:
                             raise RuntimeError(
-                                "An error occurred while loading the protobuf file, which may be caused\
-                                     by the outdated version of paddle that generated the profile file. \
-                                Please make sure protobuf file is exported by paddlepaddle version >= 2.4.0. \
-                                    Error message: {}".format(e))
+                                "An error occurred while loading the protobuf file, which may be caused "
+                                "by the outdated version of paddle that generated the profile file. "
+                                "Please make sure protobuf file is exported by paddlepaddle version >= 2.4.0. "
+                                "Error message: {}".format(e))
                         self.profile_result_queue.put(
                             (run, filename, worker_name, profile_result))