6559 update check properties (#6560)

Fixes #6559 .

### Description

This PR is used to skip optional property checks on expression based
content in a bundle config.

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

---------

Signed-off-by: Yiheng Wang <[email protected]>
Signed-off-by: monai-bot <[email protected]>
Co-authored-by: monai-bot <[email protected]>

Author: yiheng-wang-nv

monai/bundle/workflows.py

@@ -378,7 +378,8 @@ def _check_optional_id(self, name: str, property: dict) -> bool:
                         ref = h.get(ref_id, None)
         else:
             ref = self.parser.get(ref_id, None)
-        if ref is not None and ref != ID_REF_KEY + id:
+        # for reference IDs that not refer to a property directly but using expressions, skip the check
+        if ref is not None and not ref.startswith(EXPR_KEY) and ref != ID_REF_KEY + id:
             return False
         return True
 

tests/test_bundle_workflow.py

@@ -117,6 +117,12 @@ def test_train_config(self, config_file):
         trainer.initialize()
         # test required and optional properties
         self.assertListEqual(trainer.check_properties(), [])
+        # test override optional properties
+        trainer.parser.update(
+            pairs={"validate#evaluator#postprocessing": "$@validate#postprocessing if @val_interval > 0 else None"}
+        )
+        trainer.initialize()
+        self.assertListEqual(trainer.check_properties(), [])
         # test read / write the properties
         dataset = trainer.train_dataset
         self.assertTrue(isinstance(dataset, Dataset))