mainly to new a thread to load detail info

1. New a thread to load detail info. Loading detail info takes too much time,
so the summary list and lineage can not be loaded timely.
2. Add a status for DetailCacheManager to indicate it is INIT, LOADING or DONE.
3. Update UT/ST.

mindinsight/datavisual/common/enums.py

@@ -32,6 +32,13 @@ class DataManagerStatus(BaseEnum):
     INVALID = 'INVALID'
 
 
+class DetailCacheManagerStatus(BaseEnum):
+    """Data manager status."""
+    INIT = 'INIT'
+    LOADING = 'LOADING'
+    DONE = 'DONE'
+
+
 class PluginNameEnum(BaseEnum):
     """Plugin Name Enum."""
     IMAGE = 'image'

mindinsight/datavisual/data_transform/data_manager.py

@@ -35,7 +35,7 @@ from mindinsight.conf import settings
 from mindinsight.datavisual.common import exceptions
 from mindinsight.datavisual.common.enums import CacheStatus
 from mindinsight.datavisual.common.log import logger
-from mindinsight.datavisual.common.enums import DataManagerStatus
+from mindinsight.datavisual.common.enums import DataManagerStatus, DetailCacheManagerStatus
 from mindinsight.datavisual.common.enums import PluginNameEnum
 from mindinsight.datavisual.common.exceptions import TrainJobNotExistError
 from mindinsight.datavisual.data_transform.loader_generators.loader_generator import MAX_DATA_LOADER_SIZE
@@ -44,6 +44,7 @@ from mindinsight.utils.computing_resource_mgr import ComputingResourceManager
 from mindinsight.utils.exceptions import MindInsightException
 from mindinsight.utils.exceptions import ParamValueError
 from mindinsight.utils.exceptions import UnknownError
+from mindinsight.datavisual.utils.tools import exception_wrapper
 
 
 class _BasicTrainJob:
@@ -415,6 +416,13 @@ class _DetailCacheManager(_BaseCacheManager):
         self._loader_pool_mutex = threading.Lock()
         self._max_threads_count = 30
         self._loader_generators = loader_generators
+        self._status = DetailCacheManagerStatus.INIT.value
+        self._loading_mutex = threading.Lock()
+
+    @property
+    def status(self):
+        """Get loading status, if it is loading, return True."""
+        return self._status
 
     def has_content(self):
         """Whether this cache manager has train jobs."""
@@ -435,6 +443,20 @@ class _DetailCacheManager(_BaseCacheManager):
         """Get loader pool size."""
         return len(self._loader_pool)
 
+    def _load_in_cache(self):
+        """Generate and execute loaders."""
+        def load():
+            self._generate_loaders()
+            self._execute_load_data()
+        try:
+            exception_wrapper(load())
+        except UnknownError as ex:
+            logger.warning("Load event data failed. Detail: %s.", str(ex))
+        finally:
+            self._status = DetailCacheManagerStatus.DONE.value
+        logger.info("Load event data end, status: %r, and loader pool size is %r.",
+                    self._status, self.loader_pool_size())
+
     def update_cache(self, disk_train_jobs: Iterable[_BasicTrainJob]):
         """
         Update cache.
@@ -445,8 +467,13 @@ class _DetailCacheManager(_BaseCacheManager):
             disk_train_jobs (Iterable[_BasicTrainJob]): Basic info about train jobs on disk.
 
         """
-        self._generate_loaders()
-        self._execute_load_data()
+        with self._loading_mutex:
+            if self._status == DetailCacheManagerStatus.LOADING.value:
+                logger.debug("Event data is loading, and loader pool size is %r.", self.loader_pool_size())
+                return
+            self._status = DetailCacheManagerStatus.LOADING.value
+            thread = threading.Thread(target=self._load_in_cache, name="load_detail_in_cache")
+            thread.start()
 
     def cache_train_job(self, train_id):
         """Cache given train job."""
@@ -711,8 +738,7 @@ class _DetailCacheManager(_BaseCacheManager):
 
         loader = self._get_loader(train_id)
         if loader is None:
-            logger.warning("No valid summary log in train job %s, "
-                           "or it is not in the cache.", train_id)
+            logger.info("No valid summary log in train job %s, or it is not in the cache.", train_id)
             return None
 
         train_job = loader.to_dict()
@@ -897,19 +923,11 @@ class DataManager:
         """Wrapper for load data in thread."""
         try:
             with self._load_data_lock:
-                self._load_data_in_thread()
-        except MindInsightException as exc:
+                exception_wrapper(self._load_data())
+        except UnknownError as exc:
             # Not raising the exception here to ensure that data reloading does not crash.
             logger.warning(exc.message)
 
-    def _load_data_in_thread(self):
-        """Log (but not swallow) exceptions in thread to help debugging."""
-        try:
-            self._load_data()
-        except Exception as exc:
-            logger.exception(exc)
-            raise UnknownError('Load data thread error.')
-
     def _load_data(self):
         """This function will load data once and ignore it if the status is loading."""
         logger.info("Start to load data, reload interval: %r.", self._reload_interval)
@@ -939,13 +957,13 @@ class DataManager:
         self._brief_cache.update_cache(basic_train_jobs)
         self._detail_cache.update_cache(basic_train_jobs)
 
-        if not self._brief_cache.has_content() and not self._detail_cache.has_content():
+        if not self._brief_cache.has_content() and not self._detail_cache.has_content() \
+                and self._detail_cache.status == DetailCacheManagerStatus.DONE.value:
             self.status = DataManagerStatus.INVALID.value
         else:
             self.status = DataManagerStatus.DONE.value
 
-        logger.info("Load event data end, status: %r, and loader pool size is %r.",
-                    self.status, self._detail_cache.loader_pool_size())
+        logger.info("Load brief data end, and loader pool size is %r.", self._detail_cache.loader_pool_size())
 
     @staticmethod
     def check_reload_interval(reload_interval):
@@ -1046,14 +1064,6 @@ class DataManager:
 
         return TrainJob(brief_train_job, detail_train_job)
 
-    def list_train_jobs(self):
-        """
-        List train jobs.
-
-        To be implemented.
-        """
-        raise NotImplementedError()
-
     @property
     def status(self):
         """
@@ -1088,5 +1098,9 @@ class DataManager:
         """Get brief train job."""
         return self._brief_cache.get_train_job(train_id)
 
+    def get_detail_cache_status(self):
+        """Get detail status, just for ut/st."""
+        return self._detail_cache.status
+
 
 DATA_MANAGER = DataManager(settings.SUMMARY_BASE_DIR)

mindinsight/datavisual/utils/tools.py

@@ -21,7 +21,9 @@ from numbers import Number
 from urllib.parse import unquote
 
 from mindinsight.datavisual.common.exceptions import MaxCountExceededError
+from mindinsight.datavisual.common.log import logger
 from mindinsight.utils import exceptions
+from mindinsight.utils.exceptions import UnknownError
 
 _IMG_EXT_TO_MIMETYPE = {
     'bmp': 'image/bmp',
@@ -216,6 +218,16 @@ def if_nan_inf_to_none(name, value):
     return value
 
 
+def exception_wrapper(func):
+    def wrapper(*args, **kwargs):
+        try:
+            func(*args, **kwargs)
+        except Exception as exc:
+            logger.exception(exc)
+            raise UnknownError(str(exc))
+    return wrapper
+
+
 class Counter:
     """Count accumulator with limit checking."""
 

tests/ut/backend/datavisual/conftest.py

@@ -15,28 +15,15 @@
 """
 Description: This file is used for some common util.
 """
-from unittest.mock import Mock
-
 import pytest
 from flask import Response
 
-from mindinsight.backend import datavisual
-from mindinsight.datavisual.utils import tools
+from mindinsight.backend.application import APP
 
 
 @pytest.fixture
 def client():
     """This fixture is flask client."""
-    mock_data_manager = Mock()
-    mock_data_manager.start_load_data = Mock()
-    datavisual.DATA_MANAGER = mock_data_manager
-
-    packages = ["mindinsight.backend.data_visual"]
-
-    mock_obj = Mock(return_value=packages)
-    tools.find_app_package = mock_obj
-
-    from mindinsight.backend.application import APP
     APP.response_class = Response
     app_client = APP.test_client()
 

tests/ut/datavisual/common/test_error_handler.py → tests/ut/backend/datavisual/test_request_error.py

@@ -22,12 +22,10 @@ from unittest.mock import patch
 
 from werkzeug.exceptions import MethodNotAllowed, NotFound
 
-from mindinsight.datavisual.processors import scalars_processor
 from mindinsight.datavisual.processors.scalars_processor import ScalarsProcessor
 
 from ....utils.tools import get_url
 from ...backend.datavisual.conftest import TRAIN_ROUTES
-from ..mock import MockLogger
 
 
 class TestErrorHandler:
@@ -36,7 +34,6 @@ class TestErrorHandler:
     @patch.object(ScalarsProcessor, 'get_metadata_list')
     def test_handle_http_exception_error_not_found(self, mock_scalar_processor, client):
         """Test handle http exception error not found."""
-        scalars_processor.logger = MockLogger
         text = 'Test Message'
 
         # NotFound
@@ -59,7 +56,6 @@ class TestErrorHandler:
     @patch.object(ScalarsProcessor, 'get_metadata_list')
     def test_handle_http_exception_error_method_not_allowed(self, mock_scalar_processor, client):
         """Test handling http exception error method not allowed."""
-        scalars_processor.logger = MockLogger
         text = 'Test Message'
 
         # MethodNotAllowed
@@ -82,7 +78,6 @@ class TestErrorHandler:
     @patch.object(ScalarsProcessor, 'get_metadata_list')
     def test_handle_http_exception_error_method_other_errors(self, mock_scalar_processor, client):
         """Test handling http exception error method other errors."""
-        scalars_processor.logger = MockLogger
         text = 'Test Message'
 
         # Other errors

tests/ut/datavisual/common/__init__.py

@@ -1,14 +0,0 @@
-# Copyright 2019 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================

tests/ut/datavisual/conftest.py

@@ -1,45 +0,0 @@
-# Copyright 2019 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-"""
-Description: This file is used for some common util.
-"""
-from unittest.mock import Mock
-
-import pytest
-from flask import Response
-
-from mindinsight.backend import datavisual
-from mindinsight.datavisual import utils
-
-
-@pytest.fixture
-def client():
-    """This fixture is flask client."""
-    mock_data_manager = Mock()
-    mock_data_manager.start_load_data = Mock()
-    datavisual.DATA_MANAGER = mock_data_manager
-
-    packages = ["mindinsight.backend.raw_dataset",
-                "mindinsight.backend.train_dataset",
-                "mindinsight.backend.data_visual"]
-
-    mock_obj = Mock(return_value=packages)
-    utils.find_app_package = mock_obj
-
-    from mindinsight.backend.application import APP
-    APP.response_class = Response
-    app_client = APP.test_client()
-
-    yield app_client

tests/ut/datavisual/data_transform/test_data_manager.py

@@ -81,8 +81,9 @@ class TestDataManager:
     def test_start_load_data_success(self):
         """Test start_load_data method success."""
         summary_base_dir = tempfile.mkdtemp()
+        dir_num = 3
         train_ids = []
-        for i in range(3):
+        for i in range(dir_num):
             log_path = os.path.join(summary_base_dir, f'dir{i}')
             self._make_path_and_file_list(log_path)
             train_ids.append(f'./dir{i}')
@@ -215,7 +216,7 @@ class TestDataManager:
         expected_loader_ids = expected_loader_ids[-MAX_DATA_LOADER_SIZE:]
 
         # Make sure to finish loading, make it init.
-        mock_data_manager._status = DataManagerStatus.INIT
+        mock_data_manager._detail_cache._status = DataManagerStatus.INIT.value
         mock_generate_loaders.return_value = loader_dict
         mock_data_manager.start_load_data(reload_interval=0)
         check_loading_done(mock_data_manager)

tests/utils/tools.py

@@ -26,7 +26,7 @@ from urllib.parse import urlencode
 import numpy as np
 from PIL import Image
 
-from mindinsight.datavisual.common.enums import DataManagerStatus
+from mindinsight.datavisual.common.enums import DetailCacheManagerStatus
 
 
 def get_url(url, params):
@@ -59,13 +59,13 @@ def check_loading_done(data_manager, time_limit=15, first_sleep_time=0):
     if first_sleep_time > 0:
         time.sleep(first_sleep_time)
     start_time = time.time()
-    while data_manager.status not in (DataManagerStatus.DONE.value, DataManagerStatus.INVALID.value):
+    while data_manager.get_detail_cache_status() != DetailCacheManagerStatus.DONE.value:
         time_used = time.time() - start_time
         if time_used > time_limit:
             break
         time.sleep(0.1)
         continue
-    return bool(data_manager.status == DataManagerStatus.DONE.value)
+    return bool(data_manager.get_detail_cache_status == DetailCacheManagerStatus.DONE.value)
 
 
 def get_image_tensor_from_bytes(image_string):