bug(skore-hub-project): Error when using pydantic 2.12 and Python 3.14 #2115
Description
What would you like to say?
While trying to push an EstimatorReport on the development hub I got some issues.
I think that it should be a small reproducer:
from sklearn.datasets import fetch_openml
from sklearn.preprocessing import LabelEncoder
from skrub import tabular_pipeline
from skore import train_test_split
X, y = fetch_openml("adult", version=2, as_frame=True, return_X_y=True)
y_encoded = LabelEncoder().fit_transform(y)
split_data = train_test_split(X, y_encoded, random_state=1, as_dict=True)
project.put("report", EstimatorReport(tabular_pipeline("classifier"), **split_data))The traceback was something like:
---------------------------------------------------------------------------
PydanticUserError Traceback (most recent call last)
Cell In[20], line 1
----> 1 project.put("lr", lr_report)
2 project.put("rf", rf_report)
3 project.put("hgbdt", hgbdt_report)
File ~/Documents/packages/python-stack/skore/skore/skore/src/skore/project/project.py:236, in Project.put(self, key, report)
230 if not isinstance(report, EstimatorReport | CrossValidationReport):
231 raise TypeError(
232 f"Report must be `EstimatorReport` or `CrossValidationReport` "
233 f"(found '{type(report)}')"
234 )
--> 236 return self.__project.put(key=key, report=report)
File ~/Documents/packages/python-stack/skore-hub-project/skore-hub-project/skore-hub-project/src/skore_hub_project/project/project.py:56, in ensure_project_is_created.<locals>.wrapper(project, *args, **kwargs)
50 hub_client.post(
51 f"projects/{project.quoted_tenant}/{project.quoted_name}"
52 )
54 project.created = True
---> 56 return method(project, *args, **kwargs)
File ~/Documents/packages/python-stack/skore-hub-project/skore-hub-project/skore-hub-project/src/skore_hub_project/project/project.py:162, in Project.put(self, key, report)
142 @ensure_project_is_created
143 def put(self, key: str, report: EstimatorReport | CrossValidationReport):
144 """
145 Put a key-report pair to the hub project.
146
(...) 160 If the combination of parameters are not valid.
161 """
--> 162 from ..report import CrossValidationReportPayload, EstimatorReportPayload
164 if not isinstance(key, str):
165 raise TypeError(f"Key must be a string (found '{type(key)}')")
File ~/Documents/packages/python-stack/skore-hub-project/skore-hub-project/skore-hub-project/src/skore_hub_project/report/__init__.py:3
1 """Class definitions of the payloads used to send a report to ``hub``."""
----> 3 from .cross_validation_report import CrossValidationReportPayload
4 from .estimator_report import EstimatorReportPayload
6 __all__ = [
7 "CrossValidationReportPayload",
8 "EstimatorReportPayload",
9 ]
File ~/Documents/packages/python-stack/skore-hub-project/skore-hub-project/skore-hub-project/src/skore_hub_project/report/cross_validation_report.py:14
12 from skore_hub_project.artifact.media.data import TableReport
13 from skore_hub_project.artifact.media.media import Media
---> 14 from skore_hub_project.metric import (
15 AccuracyTestMean,
16 AccuracyTestStd,
17 AccuracyTrainMean,
18 AccuracyTrainStd,
19 BrierScoreTestMean,
20 BrierScoreTestStd,
21 BrierScoreTrainMean,
22 BrierScoreTrainStd,
23 FitTimeMean,
24 FitTimeStd,
25 LogLossTestMean,
26 LogLossTestStd,
27 LogLossTrainMean,
28 LogLossTrainStd,
29 PrecisionTestMean,
30 PrecisionTestStd,
31 PrecisionTrainMean,
32 PrecisionTrainStd,
33 PredictTimeTestMean,
34 PredictTimeTestStd,
35 PredictTimeTrainMean,
36 PredictTimeTrainStd,
37 R2TestMean,
38 R2TestStd,
39 R2TrainMean,
40 R2TrainStd,
41 RecallTestMean,
42 RecallTestStd,
43 RecallTrainMean,
44 RecallTrainStd,
45 RmseTestMean,
46 RmseTestStd,
47 RmseTrainMean,
48 RmseTrainStd,
49 RocAucTestMean,
50 RocAucTestStd,
51 RocAucTrainMean,
52 RocAucTrainStd,
53 )
54 from skore_hub_project.metric.metric import CrossValidationReportMetric
55 from skore_hub_project.metric.timing import FitTimeAggregate, PredictTimeAggregate
File ~/Documents/packages/python-stack/skore-hub-project/skore-hub-project/skore-hub-project/src/skore_hub_project/metric/__init__.py:3
1 """Class definitions of the payloads used to send a metric to ``hub``."""
----> 3 from .accuracy import (
4 AccuracyTest,
5 AccuracyTestMean,
6 AccuracyTestStd,
7 AccuracyTrain,
8 AccuracyTrainMean,
9 AccuracyTrainStd,
10 )
11 from .brier_score import (
12 BrierScoreTest,
13 BrierScoreTestMean,
(...) 17 BrierScoreTrainStd,
18 )
19 from .log_loss import (
20 LogLossTest,
21 LogLossTestMean,
(...) 25 LogLossTrainStd,
26 )
File ~/Documents/packages/python-stack/skore-hub-project/skore-hub-project/skore-hub-project/src/skore_hub_project/metric/accuracy.py:10
5 from typing import ClassVar, Literal
7 from .metric import CrossValidationReportMetric, EstimatorReportMetric
---> 10 class Accuracy(EstimatorReportMetric): # noqa: D101
11 accessor: ClassVar[Literal["metrics.accuracy"]] = "metrics.accuracy"
12 name: Literal["accuracy"] = "accuracy"
File ~/Documents/packages/python-stack/skore/.pixi/envs/dev/lib/python3.14/site-packages/pydantic/_internal/_model_construction.py:242, in ModelMetaclass.__new__(mcs, cls_name, bases, namespace, __pydantic_generic_metadata__, __pydantic_reset_parent_namespace__, _create_model_module, **kwargs)
238 parent_namespace = unpack_lenient_weakvaluedict(parent_namespace)
240 ns_resolver = NsResolver(parent_namespace=parent_namespace)
--> 242 set_model_fields(cls, config_wrapper=config_wrapper, ns_resolver=ns_resolver)
244 # This is also set in `complete_model_class()`, after schema gen because they are recreated.
245 # We set them here as well for backwards compatibility:
246 cls.__pydantic_computed_fields__ = {
247 k: v.info for k, v in cls.__pydantic_decorators__.computed_fields.items()
248 }
File ~/Documents/packages/python-stack/skore/.pixi/envs/dev/lib/python3.14/site-packages/pydantic/_internal/_model_construction.py:566, in set_model_fields(cls, config_wrapper, ns_resolver)
558 """Collect and set `cls.__pydantic_fields__` and `cls.__class_vars__`.
559
560 Args:
(...) 563 ns_resolver: Namespace resolver to use when getting model annotations.
564 """
565 typevars_map = get_model_typevars_map(cls)
--> 566 fields, class_vars = collect_model_fields(cls, config_wrapper, ns_resolver, typevars_map=typevars_map)
568 cls.__pydantic_fields__ = fields
569 cls.__class_vars__.update(class_vars)
File ~/Documents/packages/python-stack/skore/.pixi/envs/dev/lib/python3.14/site-packages/pydantic/_internal/_fields.py:364, in collect_model_fields(cls, config_wrapper, ns_resolver, typevars_map)
361 assigned_value.default = default
362 assigned_value._attributes_set['default'] = default
--> 364 field_info = FieldInfo_.from_annotated_attribute(ann_type, assigned_value, _source=AnnotationSource.CLASS)
365 # Store the original annotation and assignment value that should be used to rebuild the field info later.
366 # Note that the assignment is always stored as the annotation might contain a type var that is later
367 # parameterized with an unknown forward reference (and we'll need it to rebuild the field info):
368 field_info._original_assignment = assigned_value
File ~/Documents/packages/python-stack/skore/.pixi/envs/dev/lib/python3.14/site-packages/pydantic/fields.py:382, in FieldInfo.from_annotated_attribute(annotation, default, _source)
357 """Create `FieldInfo` from an annotation with a default value.
358
359 This is used in cases like the following:
(...) 379 A field object with the passed values.
380 """
381 if annotation is not MISSING and annotation is default:
--> 382 raise PydanticUserError(
383 'Error when building FieldInfo from annotated attribute. '
384 "Make sure you don't have any field name clashing with a type annotation.",
385 code='unevaluable-type-annotation',
386 )
388 try:
389 inspected_ann = inspect_annotation(
390 annotation,
391 annotation_source=_source,
392 unpack_type_aliases='skip',
393 )
PydanticUserError: Error when building FieldInfo from annotated attribute. Make sure you don't have any field name clashing with a type annotation.By downgrading to pydantic 2.11 as we have in the CI, I don't have the issue anymore. I was using pydantic 2.12 with Python 3.14.
System:
python: 3.14.0 | packaged by conda-forge | (main, Oct 7 2025, 20:20:06) [Clang 20.1.8 ]
executable: /Users/glemaitre/Documents/packages/python-stack/skore/.pixi/envs/dev/bin/python
machine: macOS-15.6.1-arm64-arm-64bit-Mach-O
Python dependencies:
skore: 0.0.0+unknown
pip: None
anywidget: 0.9.18
ipython: 9.6.0
ipywidgets: 8.1.7
joblib: 1.5.2
matplotlib: 3.10.6
numpy: 2.3.3
pandas: 2.3.3
plotly: 6.3.1
rich: 14.1.0
scikit-learn: 1.8.dev0
seaborn: 0.13.2
skore[local]: None
skrub: 0.7.dev0
skore-hub-project: 0.0.0+unknown
It could be cool to investigate the failure.