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Posted to github@beam.apache.org by "claudevdm (via GitHub)" <gi...@apache.org> on 2026/06/02 12:30:40 UTC

[PR] Jsonpick ver [beam]

claudevdm opened a new pull request, #38769:
URL: https://github.com/apache/beam/pull/38769

   Bump jsonpickle upper bound. 
   
   Version 4.0.0 + Uses `decode(safe=True)` by default which avoids eval during decoding, which is a breaking change. 
   
   https://github.com/jsonpickle/jsonpickle/blob/c3fa14e6c4a1099f7d1c8b0898b6bbf8aade5143/CHANGES.rst#v400.
   
   
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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #38769:
URL: https://github.com/apache/beam/pull/38769#issuecomment-4603642195

   Assigning reviewers:
   
   R: @shunping for label python.
   
   
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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "damccorm (via GitHub)" <gi...@apache.org>.
damccorm commented on code in PR #38769:
URL: https://github.com/apache/beam/pull/38769#discussion_r3341627633


##########
sdks/python/apache_beam/ml/transforms/base.py:
##########
@@ -591,7 +592,18 @@ def save_attributes(
   def load_attributes(artifact_location):
     with FileSystems.open(os.path.join(artifact_location, _ATTRIBUTE_FILE_NAME),
                           'rb') as f:
-      return jsonpickle.decode(f.read())
+      # load_attributes runs eagerly during MLTransform.expand() at pipeline
+      # construction time, so the pipeline's options are available via the
+      # construction-time context.
+      pipeline_options = get_pipeline_options()
+      safe = True
+      if (pipeline_options is not None and
+          pipeline_options.is_compat_version_prior_to("2.75.0")):
+        # Keep the pre-2.75.0 jsonpickle behavior (safe=False permits
+        # eval-based decoding) for backwards compatibility with already-staged
+        # artifacts.
+        safe = False

Review Comment:
   Is there actually a downside to always setting safe=False? IIUC, this is protecting against remote code execution exploits that allow escalating privileges. But if you are able to compromise this artifact file, I think you already functionally have code execution privileges since it allows you to define (semi) arbitrary transforms.



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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on code in PR #38769:
URL: https://github.com/apache/beam/pull/38769#discussion_r3341858513


##########
sdks/python/apache_beam/ml/transforms/base.py:
##########
@@ -591,7 +592,18 @@ def save_attributes(
   def load_attributes(artifact_location):
     with FileSystems.open(os.path.join(artifact_location, _ATTRIBUTE_FILE_NAME),
                           'rb') as f:
-      return jsonpickle.decode(f.read())
+      # load_attributes runs eagerly during MLTransform.expand() at pipeline
+      # construction time, so the pipeline's options are available via the
+      # construction-time context.
+      pipeline_options = get_pipeline_options()
+      safe = True
+      if (pipeline_options is not None and
+          pipeline_options.is_compat_version_prior_to("2.75.0")):
+        # Keep the pre-2.75.0 jsonpickle behavior (safe=False permits
+        # eval-based decoding) for backwards compatibility with already-staged
+        # artifacts.
+        safe = False

Review Comment:
   I also think it is reasonable to just skip compat flag completely. I doubt it will break anyone, and if it does they can file a bug and we can add a compat flag in an upcoming beam version?



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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "damccorm (via GitHub)" <gi...@apache.org>.
damccorm commented on code in PR #38769:
URL: https://github.com/apache/beam/pull/38769#discussion_r3342226784


##########
sdks/python/apache_beam/ml/transforms/base.py:
##########
@@ -591,7 +592,18 @@ def save_attributes(
   def load_attributes(artifact_location):
     with FileSystems.open(os.path.join(artifact_location, _ATTRIBUTE_FILE_NAME),
                           'rb') as f:
-      return jsonpickle.decode(f.read())
+      # load_attributes runs eagerly during MLTransform.expand() at pipeline
+      # construction time, so the pipeline's options are available via the
+      # construction-time context.
+      pipeline_options = get_pipeline_options()
+      safe = True
+      if (pipeline_options is not None and
+          pipeline_options.is_compat_version_prior_to("2.75.0")):
+        # Keep the pre-2.75.0 jsonpickle behavior (safe=False permits
+        # eval-based decoding) for backwards compatibility with already-staged
+        # artifacts.
+        safe = False

Review Comment:
   > Is the benefit of always setting to False simplicity? I don't have a strong opinion here.
   
   Yeah - IMO this is either a vulnerability which we should unconditionally patch, or it is not and we can retain a single behavior.
   
   > I also think it is reasonable to just skip compat flag completely. I doubt it will break anyone, and if it does they can file a bug and we can add a compat flag in an upcoming beam version?
   
   I agree with this. I actually also realized that the compat flag doesn't work here anyways - these artifacts persist across (usually batch) pipeline runs, so it isn't coming from an update, its coming from a subsequent pipeline run.
   
   My slight preference would be `safe=False`, but I'm good with either approach as long as we skip the compat flag piece and will defer to you here.



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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #38769:
URL: https://github.com/apache/beam/pull/38769#issuecomment-4670728527

   Reminder, please take a look at this pr: @shunping 


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Re: [PR] Jsonpick ver [beam]

Posted by "gemini-code-assist[bot] (via GitHub)" <gi...@apache.org>.
gemini-code-assist[bot] commented on code in PR #38769:
URL: https://github.com/apache/beam/pull/38769#discussion_r3341187524


##########
sdks/python/apache_beam/ml/transforms/base_test.py:
##########
@@ -841,6 +843,46 @@ def test_save_and_load_run_inference(self):
         self.assertListEqual(
             get_keys(model_handler), get_keys(loaded_model_handler))
 
+  @parameterized.expand([
+      # Pipelines pinned to a version older than 2.75.0 keep the pre-2.75.0
+      # jsonpickle behavior (safe=False, which permits eval-based decoding).
+      param(update_compatibility_version='2.74.0', expected_safe=False),
+      # The breaking-change version itself and newer decode securely.
+      param(update_compatibility_version='2.75.0', expected_safe=True),
+      # Pipelines that do not set the option (the common case) decode securely.
+      param(update_compatibility_version=None, expected_safe=True),
+  ])
+  def test_load_attributes_safe_flag_follows_compat_version(
+      self, update_compatibility_version, expected_safe):
+    data = [{'x': 'Hello world'}, {'x': 'Apache Beam'}]
+    with beam.Pipeline() as p:
+      _ = (
+          p
+          | beam.Create(data)
+          | base.MLTransform(
+              write_artifact_location=self.artifact_location).with_transform(
+                  FakeEmbeddingsManager(columns=['x'])))
+
+    # FakeEmbeddingsManager reverses the values of the embedded columns.
+    expected_data = [{'x': d['x'][::-1]} for d in data]
+
+    options = PipelineOptions(
+        update_compatibility_version=update_compatibility_version)
+    with mock.patch.object(base.jsonpickle,
+                           'decode',
+                           wraps=base.jsonpickle.decode) as mock_decode:
+      with beam.Pipeline(options=options) as p:
+        result = (
+            p
+            | beam.Create(data)
+            | base.MLTransform(read_artifact_location=self.artifact_location))
+        assert_that(result, equal_to(expected_data))
+
+    safe_flags = [
+        call.kwargs.get('safe') for call in mock_decode.call_args_list
+    ]
+    self.assertEqual(safe_flags, [expected_safe])

Review Comment:
   ![medium](https://www.gstatic.com/codereviewagent/medium-priority.svg)
   
   To prevent test failures on environments running `jsonpickle < 4.0.0`, we should conditionally assert the `safe` flag only if the parameter is supported by the installed version of `jsonpickle`.
   
   ```python
       import inspect
       if 'safe' in inspect.signature(base.jsonpickle.decode).parameters:
         safe_flags = [
             call.kwargs.get('safe') for call in mock_decode.call_args_list
         ]
         self.assertEqual(safe_flags, [expected_safe])
       else:
         self.assertTrue(mock_decode.called)
   ```



##########
sdks/python/apache_beam/ml/transforms/base.py:
##########
@@ -591,7 +592,18 @@ def save_attributes(
   def load_attributes(artifact_location):
     with FileSystems.open(os.path.join(artifact_location, _ATTRIBUTE_FILE_NAME),
                           'rb') as f:
-      return jsonpickle.decode(f.read())
+      # load_attributes runs eagerly during MLTransform.expand() at pipeline
+      # construction time, so the pipeline's options are available via the
+      # construction-time context.
+      pipeline_options = get_pipeline_options()
+      safe = True
+      if (pipeline_options is not None and
+          pipeline_options.is_compat_version_prior_to("2.75.0")):
+        # Keep the pre-2.75.0 jsonpickle behavior (safe=False permits
+        # eval-based decoding) for backwards compatibility with already-staged
+        # artifacts.
+        safe = False
+      return jsonpickle.decode(f.read(), safe=safe)

Review Comment:
   ![high](https://www.gstatic.com/codereviewagent/high-priority.svg)
   
   Since `jsonpickle` versions `< 4.0.0` are still supported (as specified in `setup.py` with `jsonpickle>=3.0.0,<5.0.0`), calling `jsonpickle.decode` with the `safe` keyword argument will raise a `TypeError` on environments running older versions of `jsonpickle`. We should conditionally pass the `safe` argument only if it is supported by the installed version of `jsonpickle`.
   
   ```suggestion
         pipeline_options = get_pipeline_options()
         safe = True
         if (pipeline_options is not None and
             pipeline_options.is_compat_version_prior_to("2.75.0")):
           # Keep the pre-2.75.0 jsonpickle behavior (safe=False permits
           # eval-based decoding) for backwards compatibility with already-staged
           # artifacts.
           safe = False
         import inspect
         kwargs = {}
         if 'safe' in inspect.signature(jsonpickle.decode).parameters:
           kwargs['safe'] = safe
         return jsonpickle.decode(f.read(), **kwargs)
   ```



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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #38769:
URL: https://github.com/apache/beam/pull/38769#issuecomment-4719631946

   Assigning new set of reviewers because Pr has gone too long without review. If you would like to opt out of this review, comment `assign to next reviewer`:
   
   R: @damccorm for label python.
   
   Available commands:
   - `stop reviewer notifications` - opt out of the automated review tooling
   - `remind me after tests pass` - tag the comment author after tests pass
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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm merged PR #38769:
URL: https://github.com/apache/beam/pull/38769


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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on code in PR #38769:
URL: https://github.com/apache/beam/pull/38769#discussion_r3341850410


##########
sdks/python/apache_beam/ml/transforms/base.py:
##########
@@ -591,7 +592,18 @@ def save_attributes(
   def load_attributes(artifact_location):
     with FileSystems.open(os.path.join(artifact_location, _ATTRIBUTE_FILE_NAME),
                           'rb') as f:
-      return jsonpickle.decode(f.read())
+      # load_attributes runs eagerly during MLTransform.expand() at pipeline
+      # construction time, so the pipeline's options are available via the
+      # construction-time context.
+      pipeline_options = get_pipeline_options()
+      safe = True
+      if (pipeline_options is not None and
+          pipeline_options.is_compat_version_prior_to("2.75.0")):
+        # Keep the pre-2.75.0 jsonpickle behavior (safe=False permits
+        # eval-based decoding) for backwards compatibility with already-staged
+        # artifacts.
+        safe = False

Review Comment:
   The default in v 4+ is safe=True, so I think it is best if we align with the default behavior in the underlying library?
   
   Is the benefit of always setting to False simplicity? I don't have a strong opinion here.
   
   



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Re: [PR] Bump jsonpickle upper bound. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on code in PR #38769:
URL: https://github.com/apache/beam/pull/38769#discussion_r3341277715


##########
sdks/python/apache_beam/ml/transforms/base_test.py:
##########
@@ -841,6 +843,46 @@ def test_save_and_load_run_inference(self):
         self.assertListEqual(
             get_keys(model_handler), get_keys(loaded_model_handler))
 
+  @parameterized.expand([
+      # Pipelines pinned to a version older than 2.75.0 keep the pre-2.75.0
+      # jsonpickle behavior (safe=False, which permits eval-based decoding).
+      param(update_compatibility_version='2.74.0', expected_safe=False),
+      # The breaking-change version itself and newer decode securely.
+      param(update_compatibility_version='2.75.0', expected_safe=True),
+      # Pipelines that do not set the option (the common case) decode securely.
+      param(update_compatibility_version=None, expected_safe=True),
+  ])
+  def test_load_attributes_safe_flag_follows_compat_version(
+      self, update_compatibility_version, expected_safe):
+    data = [{'x': 'Hello world'}, {'x': 'Apache Beam'}]
+    with beam.Pipeline() as p:
+      _ = (
+          p
+          | beam.Create(data)
+          | base.MLTransform(
+              write_artifact_location=self.artifact_location).with_transform(
+                  FakeEmbeddingsManager(columns=['x'])))
+
+    # FakeEmbeddingsManager reverses the values of the embedded columns.
+    expected_data = [{'x': d['x'][::-1]} for d in data]
+
+    options = PipelineOptions(
+        update_compatibility_version=update_compatibility_version)
+    with mock.patch.object(base.jsonpickle,
+                           'decode',
+                           wraps=base.jsonpickle.decode) as mock_decode:
+      with beam.Pipeline(options=options) as p:
+        result = (
+            p
+            | beam.Create(data)
+            | base.MLTransform(read_artifact_location=self.artifact_location))
+        assert_that(result, equal_to(expected_data))
+
+    safe_flags = [
+        call.kwargs.get('safe') for call in mock_decode.call_args_list
+    ]
+    self.assertEqual(safe_flags, [expected_safe])

Review Comment:
   Safe argument was added in 3.0.4. Bumped lower bound



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Re: [PR] Jsonpick ver [beam]

Posted by "gemini-code-assist[bot] (via GitHub)" <gi...@apache.org>.
gemini-code-assist[bot] commented on PR #38769:
URL: https://github.com/apache/beam/pull/38769#issuecomment-4602423470

   ## Summary of Changes
   
   Hello, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
   
   This pull request updates the jsonpickle dependency to allow versions up to 5.0.0. To accommodate the breaking change in jsonpickle 4.0.0, which introduced a more secure default decoding mode, the changes include logic to conditionally toggle the 'safe' decoding flag based on the pipeline's compatibility version. This ensures that existing artifacts remain readable while adopting secure defaults for newer pipelines.
   
   ### Highlights
   
   * **Dependency Update**: Updated the jsonpickle dependency upper bound from 4.0.0 to 5.0.0 to support newer versions.
   * **Security and Compatibility**: Implemented conditional logic in MLTransform to handle jsonpickle's breaking change in 4.0.0, which defaults to safe decoding (disabling eval). Pipelines using compatibility versions prior to 2.75.0 will retain the legacy behavior (safe=False) for backward compatibility.
   * **Testing**: Added a new test case to verify that the jsonpickle 'safe' flag correctly respects the pipeline compatibility version settings.
   
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   <summary><b>New Features</b></summary>
   
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