[ 
https://issues.apache.org/jira/browse/BEAM-3883?focusedWorklogId=102718&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-102718
 ]

ASF GitHub Bot logged work on BEAM-3883:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 16/May/18 23:46
            Start Date: 16/May/18 23:46
    Worklog Time Spent: 10m 
      Work Description: tvalentyn commented on a change in pull request #5251: 
[BEAM-3883] Refactor and clean dependency.py to make it reusable with artifact 
service
URL: https://github.com/apache/beam/pull/5251#discussion_r188802535
 
 

 ##########
 File path: sdks/python/apache_beam/runners/portability/stager_test.py
 ##########
 @@ -420,134 +375,167 @@ def 
test_sdk_location_local_directory_not_present(self):
     sdk_location = 'nosuchdir'
     with self.assertRaises(RuntimeError) as cm:
       options = PipelineOptions()
-      options.view_as(GoogleCloudOptions).staging_location = staging_dir
       self.update_options(options)
       options.view_as(SetupOptions).sdk_location = sdk_location
 
-      dependency.stage_job_resources(options)
+      self.stager.stage_job_resources(options, staging_location=staging_dir)
     self.assertEqual(
         'The file "%s" cannot be found. Its '
         'location was specified by the --sdk_location command-line option.' %
-        sdk_location,
-        cm.exception.args[0])
+        sdk_location, cm.exception.args[0])
 
-  def test_sdk_location_gcs_source_file(self):
+  def test_sdk_location_remote_source_file(self):
     staging_dir = self.make_temp_dir()
     sdk_location = 'gs://my-gcs-bucket/tarball.tar.gz'
 
     options = PipelineOptions()
-    options.view_as(GoogleCloudOptions).staging_location = staging_dir
     self.update_options(options)
     options.view_as(SetupOptions).sdk_location = sdk_location
 
-    with mock.patch('apache_beam.runners.dataflow.internal.'
-                    'dependency._dependency_file_copy'):
-      self.assertEqual(
-          [names.DATAFLOW_SDK_TARBALL_FILE],
-          dependency.stage_job_resources(options))
-
-  def test_sdk_location_gcs_wheel_file(self):
+    with mock.patch('.'.join([
+        self.__module__, TestStager.__name__, 
TestStager.stage_artifact.__name__
+    ])):
+      with mock.patch('.'.join([
+          self.__module__, TestStager.__name__,
+          TestStager._download_file.__name__
+      ])):
+        self.assertEqual([names.DATAFLOW_SDK_TARBALL_FILE],
+                         self.stager.stage_job_resources(
+                             options, staging_location=staging_dir))
+
+  def test_sdk_location_remote_wheel_file(self):
     staging_dir = self.make_temp_dir()
     sdk_filename = 'apache_beam-1.0.0-cp27-cp27mu-manylinux1_x86_64.whl'
-    sdk_location = 'gs://my-gcs-bucket/' + sdk_filename
+    sdk_location = '/tmp/remote/my-bucket/' + sdk_filename
 
     options = PipelineOptions()
-    options.view_as(GoogleCloudOptions).staging_location = staging_dir
     self.update_options(options)
     options.view_as(SetupOptions).sdk_location = sdk_location
 
-    with mock.patch('apache_beam.runners.dataflow.internal.'
-                    'dependency._dependency_file_copy'):
-      self.assertEqual(
-          [sdk_filename],
-          dependency.stage_job_resources(options))
+    # We can not rely on actual remote file systems paths hence making
+    # '/tmp/remote/' a new remote path.
+    def is_remote_path(dummy_self, path):
+      return path.startswith('/tmp/remote/')
+
+    with mock.patch('.'.join([
+        self.__module__, TestStager.__name__, 
TestStager.stage_artifact.__name__
+    ])):
+      with mock.patch('.'.join([
+          self.__module__, TestStager.__name__,
+          TestStager._download_file.__name__
+      ])):
+        with mock.patch(
+            '.'.join([
+                self.__module__, TestStager.__name__,
+                TestStager._is_remote_path.__name__
+            ]), is_remote_path):
+          self.assertEqual([sdk_filename],
+                           self.stager.stage_job_resources(
+                               options, staging_location=staging_dir))
 
   def test_sdk_location_http(self):
     staging_dir = self.make_temp_dir()
     sdk_location = 'http://storage.googleapis.com/my-gcs-bucket/tarball.tar.gz'
 
     options = PipelineOptions()
-    options.view_as(GoogleCloudOptions).staging_location = staging_dir
     self.update_options(options)
     options.view_as(SetupOptions).sdk_location = sdk_location
 
-    def file_download(_, to_folder):
-      tarball_path = os.path.join(to_folder, 'sdk-tarball')
-      with open(tarball_path, 'w') as f:
+    def file_download(dummy_self, _, to_path):
 
 Review comment:
   Would it be simpler to implement desirable default behavior in TestStager()? 
Also why do we have dummy_self in the picture here?

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[email protected]


Issue Time Tracking
-------------------

    Worklog Id:     (was: 102718)
    Time Spent: 12h 40m  (was: 12.5h)

> Python SDK stages artifacts when talking to job server
> ------------------------------------------------------
>
>                 Key: BEAM-3883
>                 URL: https://issues.apache.org/jira/browse/BEAM-3883
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Ben Sidhom
>            Assignee: Ankur Goenka
>            Priority: Major
>          Time Spent: 12h 40m
>  Remaining Estimate: 0h
>
> The Python SDK does not currently stage its user-defined functions or 
> dependencies when talking to the job API. Artifacts that need to be staged 
> include the user code itself, any SDK components not included in the 
> container image, and the list of Python packages that must be installed at 
> runtime.
>  
> Artifacts that are currently expected can be found in the harness boot code: 
> [https://github.com/apache/beam/blob/58e3b06bee7378d2d8db1c8dd534b415864f63e1/sdks/python/container/boot.go#L52.]



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to