adapt profiling source path change

mindinsight/backend/profiler/profile_api.py

@@ -66,7 +66,7 @@ def get_profile_op_info():
     search_condition = request.stream.read()
     try:
         search_condition = json.loads(search_condition if search_condition else "{}")
-    except Exception:
+    except (json.JSONDecodeError, ValueError):
         raise ParamValueError("Json data parse failed.")
     validate_condition(search_condition)
 

mindinsight/profiler/analyser/minddata_analyser.py

@@ -107,12 +107,11 @@ class MinddataAnalyser(BaseAnalyser):
         device_queue_file_path = MinddataAnalyser.find_target_file(self._profiling_dir, device_queue_file_name)
         feed_file_name = "dataset_iterator_profiling_" + self._device_id + ".txt"
         feed_file_path = MinddataAnalyser.find_target_file(self._profiling_dir, feed_file_name)
+        file_path = ""
         if device_queue_file_path:
             file_path = device_queue_file_path
         elif not device_queue_file_path and feed_file_path:
             file_path = feed_file_path
-        else:
-            file_path = ""
 
         if file_path:
             with open(file_path) as data_file:

mindinsight/profiler/parser/minddata_parser.py

@@ -77,12 +77,17 @@ class MinddataParser:
         col_names = ["node_name", "start_time", "end_time", "queue_size"]
         minddata_aicpu_source_path = get_file_join_name(
             input_path=source_path, file_name='DATA_PREPROCESS.dev.AICPUMI')
+        if not minddata_aicpu_source_path:
+            minddata_aicpu_source_path = get_file_join_name(
+                input_path=os.path.join(source_path, "data"), file_name='DATA_PREPROCESS.dev.AICPUMI')
+            if not minddata_aicpu_source_path:
+                raise RuntimeError("Fail to get AICPUMI file.")
         minddata_aicpu_output_path = os.path.join(output_path, "minddata_aicpu_" + device_id + ".txt")
-        if minddata_aicpu_source_path:
-            minddata_aicpu_data = MinddataParser.parse_minddata_aicpu_data(minddata_aicpu_source_path)
-            if minddata_aicpu_data:
-                fwrite_format(
-                    minddata_aicpu_output_path,
-                    tabulate(minddata_aicpu_data, col_names, tablefmt='simple'),
-                    is_start=True
-                )
+
+        minddata_aicpu_data = MinddataParser.parse_minddata_aicpu_data(minddata_aicpu_source_path)
+        if minddata_aicpu_data:
+            fwrite_format(
+                minddata_aicpu_output_path,
+                tabulate(minddata_aicpu_data, col_names, tablefmt='simple'),
+                is_start=True
+            )