release 1.9.1 (#140)

ShevchenkoRostyslav · ycbiometrics · wiktorlazarski · web-flow · commit 96a696061efb · 2025-08-20T10:53:43.000+02:00
* tets workflow * upd * add prod workflow * correct the repo name * upd name * add a workflow to create docs * address PR comments * debugging * add requirements * upd deploy docs * docs branch * fix bug * cleaning * new way * fake upd of docds * upd * upd * rollback * upd * upd * revert * worktree * another approach * upd * keep some files * final version * swap the order * upd * upd * upd * remove .buildinfo * remove .buildinfo * cleaning * Iris multiview/aic 5901: e2e Multiframe Iris Pipeline (#123) * refactor multiframe iris pipeline * refactor and fix tests * fix test leakage from patches * upd e2e tests * fix broken tests * rename MultiframeAggregationPipeline -> TemplatesAggregation * Add user warning * bump the iris version * 1.8.3 -> 1.9.0 (#137) Co-authored-by: ycbiometrics <107422087+ycbiometrics@users.noreply.github.com> * Make sure that NodeWritterResult callback is always first in callbacks list of every node. * Hotfix/output builders type (#139) * 1.8.3 -> 1.9.0 * bugfix serialization data type * add speciofic e2e test for multiframe * revert the doc file from 1.9.0 releqase * Hotfix/output builders type (#141) * 1.8.3 -> 1.9.0 * release v1.9.0 (#136) * tets workflow * upd * add prod workflow * correct the repo name * upd name * add a workflow to create docs * address PR comments * debugging * add requirements * upd deploy docs * docs branch * fix bug * cleaning * new way * fake upd of docds * upd * upd * rollback * upd * upd * revert * worktree * another approach * upd * keep some files * final version * swap the order * upd * upd * upd * remove .buildinfo * remove .buildinfo * cleaning * Iris multiview/aic 5901: e2e Multiframe Iris Pipeline (#123) * refactor multiframe iris pipeline * refactor and fix tests * fix test leakage from patches * upd e2e tests * fix broken tests * rename MultiframeAggregationPipeline -> TemplatesAggregation * Add user warning * bump the iris version * 1.8.3 -> 1.9.0 (#137) Co-authored-by: ycbiometrics <107422087+ycbiometrics@users.noreply.github.com> --------- Co-authored-by: ycbiometrics <107422087+ycbiometrics@users.noreply.github.com> * bugfix serialization data type * add speciofic e2e test for multiframe * revert the doc file from 1.9.0 releqase * update iris version * upd --------- Co-authored-by: ycbiometrics <107422087+ycbiometrics@users.noreply.github.com> --------- Co-authored-by: ycbiometrics <107422087+ycbiometrics@users.noreply.github.com> Co-authored-by: Wiktor Łazarski <wjlazarski@gmail.com>
diff --git a/src/iris/_version.py b/src/iris/_version.py
@@ -1 +1 @@
-__version__ = "1.9.0"
+__version__ = "1.9.1"
diff --git a/src/iris/callbacks/pipeline_trace.py b/src/iris/callbacks/pipeline_trace.py
@@ -136,7 +136,7 @@ def initialise(nodes: Dict[str, Algorithm], pipeline_nodes: List[PipelineNode])
         call_trace = PipelineCallTraceStorage(results_names=nodes.keys())
 
         for algorithm_name, algorithm_object in nodes.items():
-            algorithm_object._callbacks.append(NodeResultsWriter(call_trace, algorithm_name))
+            algorithm_object._callbacks.insert(0, NodeResultsWriter(call_trace, algorithm_name))
 
         return call_trace
 
diff --git a/src/iris/orchestration/output_builders.py b/src/iris/orchestration/output_builders.py
@@ -19,7 +19,7 @@ def _nested_safe_serialize(obj: Any) -> Any:
 
     # Handle lists and tuples by serializing each element
     if isinstance(obj, (list, tuple)):
-        return [_nested_safe_serialize(item) for item in obj]
+        return type(obj)(_nested_safe_serialize(item) for item in obj)
 
     # Handle mappings by serializing each value
     if isinstance(obj, Mapping):
@@ -67,7 +67,7 @@ def __safe_serialize(object: Optional[Any]) -> Optional[Any]:
     elif isinstance(object, ImmutableModel):
         return object.serialize()
     elif isinstance(object, (list, tuple)):
-        return [__safe_serialize(sub_object) for sub_object in object]
+        return type(object)(__safe_serialize(sub_object) for sub_object in object)
     elif isinstance(object, np.ndarray):
         return object.tolist()
     elif isinstance(object, (str, int, float, bool)):
diff --git a/src/iris/pipelines/confs/multiframe_iris_pipeline.yaml b/src/iris/pipelines/confs/multiframe_iris_pipeline.yaml
@@ -1,12 +1,12 @@
 metadata:
   pipeline_name: multiframe_iris_pipeline
-  iris_version: 1.9.0
+  iris_version: 1.9.1
 
 # Configuration for individual image processing (IRISPipeline)
 iris_pipeline:
   metadata:
     pipeline_name: iris_pipeline
-    iris_version: 1.9.0
+    iris_version: 1.9.1
 
   pipeline:
     - name: segmentation
@@ -313,7 +313,7 @@ iris_pipeline:
 # Configuration for template aggregation (TemplatesAggregationPipeline)
 templates_aggregation_pipeline:
   metadata:
-    iris_version: 1.9.0
+    iris_version: 1.9.1
     pipeline_name: templates_aggregation
 
   pipeline:
diff --git a/src/iris/pipelines/confs/pipeline.yaml b/src/iris/pipelines/confs/pipeline.yaml
@@ -1,6 +1,6 @@
 metadata:
   pipeline_name: iris_pipeline
-  iris_version: 1.9.0
+  iris_version: 1.9.1
 
 pipeline:
   - name: segmentation
diff --git a/src/iris/pipelines/confs/templates_aggregation_pipeline.yaml b/src/iris/pipelines/confs/templates_aggregation_pipeline.yaml
@@ -1,6 +1,6 @@
 metadata:
   pipeline_name: iris_pipeline
-  iris_version: 1.9.0
+  iris_version: 1.9.1
 
 pipeline:
   - name: segmentation
@@ -305,7 +305,7 @@ pipeline:
 
 templates_aggregation:
   metadata:
-    iris_version: 1.9.0
+    iris_version: 1.9.1
     pipeline_name: templates_aggregation
 
   pipeline:
diff --git a/tests/e2e_tests/pipelines/test_e2e_multiframe_iris_pipeline.py b/tests/e2e_tests/pipelines/test_e2e_multiframe_iris_pipeline.py
@@ -111,6 +111,7 @@ def test_iris_pipeline_with_aggregation_single_image(self, env, ir_image):
         assert isinstance(aggregation_pipeline_output["individual_frames"][0], dict)
         assert "error" in aggregation_pipeline_output["individual_frames"][0]
         assert "metadata" in aggregation_pipeline_output["individual_frames"][0]
+        assert isinstance(aggregation_pipeline_output["individual_frames"][0]["metadata"]["image_size"], tuple)
 
         # check that the individiual frame metadata contains all the fields from IrisPipeline metadata
         dummy_call_trace = Mock()
diff --git a/tests/unit_tests/orchestration/test_output_builders.py b/tests/unit_tests/orchestration/test_output_builders.py
@@ -4,7 +4,15 @@
 import pytest
 
 from iris.callbacks.pipeline_trace import PipelineCallTraceStorage
-from iris.io.dataclasses import AlignedTemplates, DistanceMatrix, OutputFieldSpec, WeightedIrisTemplate
+from iris.io.dataclasses import (
+    AlignedTemplates,
+    DistanceMatrix,
+    EyeCenters,
+    Offgaze,
+    OutputFieldSpec,
+    WeightedIrisTemplate,
+)
+from iris.orchestration import output_builders as ob
 from iris.orchestration.output_builders import (
     _build_from_spec,
     build_aggregation_templates_orb_output,
@@ -13,6 +21,8 @@
     build_simple_iris_pipeline_orb_output,
 )
 
+SAFE_SERIALIZE = getattr(ob, "__safe_serialize")
+
 
 class TestOutputBuildersWithMissingKeys:
     """Test output builders behavior when keys are missing from call_trace."""
@@ -265,3 +275,42 @@ def test_with_alignment_and_identity_filter(self, mock_call_trace_with_alignment
         assert metadata["aligned_templates"]["reference_template_id"] == 0
         assert metadata["aligned_templates"]["distances"] == {(0, 0): 0.0}
         assert metadata["post_identity_filter_templates_count"] == 1
+
+
+class TestSafeSerialize:
+    def test_none_returns_none(self):
+        assert SAFE_SERIALIZE(None) is None
+
+    def test_immutable_model_serialization(self):
+        offgaze = Offgaze(score=0.5)
+        assert SAFE_SERIALIZE(offgaze) == offgaze.serialize()
+
+        eye_centers = EyeCenters(pupil_x=1.0, pupil_y=2.0, iris_x=3.0, iris_y=4.0)
+        assert SAFE_SERIALIZE(eye_centers) == eye_centers.serialize()
+
+    def test_numpy_array_to_list(self):
+        arr = np.array([[1, 2], [3, 4]])
+        assert SAFE_SERIALIZE(arr) == arr.tolist()
+
+    def test_list_and_tuple_recursion(self):
+        offgaze = Offgaze(score=0.25)
+        arr = np.array([1, 2, 3])
+
+        data_list = [1, "a", offgaze, arr]
+        assert SAFE_SERIALIZE(data_list) == [1, "a", offgaze.serialize(), arr.tolist()]
+
+        data_tuple = (True, 3.14, offgaze, arr)
+        assert SAFE_SERIALIZE(data_tuple) == (True, 3.14, offgaze.serialize(), arr.tolist())
+
+    def test_primitives_passthrough(self):
+        assert SAFE_SERIALIZE("hello") == "hello"
+        assert SAFE_SERIALIZE(123) == 123
+        assert SAFE_SERIALIZE(3.14) == 3.14
+        assert SAFE_SERIALIZE(True) is True
+
+    def test_unsupported_type_raises(self):
+        class Foo:
+            pass
+
+        with pytest.raises(NotImplementedError):
+            SAFE_SERIALIZE(Foo())

Original file line number	Diff line number	Diff line change
`@@ -1 +1 @@`
`1`		`-__version__ = "1.9.0"`
	`1`	`+__version__ = "1.9.1"`