feat: Add deprecation messages for all model-based metric classes

PiperOrigin-RevId: 658523450

Author: vertex-sdk-bot

vertexai/preview/evaluation/metrics/_fluency.py

@@ -15,16 +15,25 @@
 # limitations under the License.
 #
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class `Fluency` will"
+    " result in an error. Please use string metric name `fluency` or define"
+    " a PointwiseMetric instead."
+)
+
 
 class Fluency(_base._ModelBasedMetric):
     """The model-based pointwise metric for Fluency."""
 
     _metric_name = constants.Metric.FLUENCY
 
     def __init__(self, *, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=Fluency._metric_name,
             version=version,

vertexai/preview/evaluation/metrics/_fulfillment.py

@@ -15,16 +15,25 @@
 # limitations under the License.
 #
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class `Fulfillment` will"
+    " result in an error. Please use string metric name `fulfillment` or define"
+    " a PointwiseMetric instead."
+)
+
 
 class Fulfillment(_base._ModelBasedMetric):
     """The model-based pointwise metric for Fulfillment."""
 
     _metric_name = constants.Metric.FULFILLMENT
 
     def __init__(self, *, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=Fulfillment._metric_name,
             version=version,

vertexai/preview/evaluation/metrics/_groundedness.py

@@ -15,16 +15,25 @@
 # limitations under the License.
 #
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class `Groundedness` will"
+    " result in an error. Please use string metric name `groundedness` or define"
+    " a PointwiseMetric instead."
+)
+
 
 class Groundedness(_base._ModelBasedMetric):
     """The model-based pointwise metric for Groundedness."""
 
     _metric_name = constants.Metric.GROUNDEDNESS
 
     def __init__(self, *, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=Groundedness._metric_name,
             version=version,

vertexai/preview/evaluation/metrics/_pairwise_question_answering_quality.py

@@ -16,10 +16,19 @@
 #
 
 from typing import Callable, Optional, Union
+import warnings
+
 from vertexai.generative_models import _generative_models
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `PairwiseQuestionAnsweringQuality` will result in an error. Please use"
+    " string metric name `pairwise_question_answering_quality` or define a"
+    " PairwiseMetric instead."
+)
+
 
 class PairwiseQuestionAnsweringQuality(_base.PairwiseMetric):
     """The Side-by-side(SxS) Pairwise Metric for Question Answering Quality."""
@@ -35,6 +44,7 @@ def __init__(
         use_reference: bool = False,
         version: Optional[int] = None
     ):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=PairwiseQuestionAnsweringQuality._metric_name,
             baseline_model=baseline_model,

vertexai/preview/evaluation/metrics/_pairwise_summarization_quality.py

@@ -16,10 +16,19 @@
 #
 
 from typing import Callable, Optional, Union
+import warnings
+
 from vertexai.generative_models import _generative_models
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `PairwiseSummarizationQuality` will result in an error. Please use"
+    " string metric name `pairwise_summarization_quality` or define a"
+    " PairwiseMetric instead."
+)
+
 
 class PairwiseSummarizationQuality(_base.PairwiseMetric):
     """The Side-by-side(SxS) Pairwise Metric for summarization quality."""
@@ -35,6 +44,7 @@ def __init__(
         use_reference: bool = False,
         version: Optional[int] = None
     ):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=PairwiseSummarizationQuality._metric_name,
             baseline_model=baseline_model,

vertexai/preview/evaluation/metrics/_question_answering_correctness.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `QuestionAnsweringCorrectness` will result in an error. Please use"
+    " string metric name `question_answering_correctness` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class QuestionAnsweringCorrectness(_base._ModelBasedMetric):
     """The model-based pointwise metric for Question Answering Correctness."""
 
     _metric_name = constants.Metric.QUESTION_ANSWERING_CORRECTNESS
 
     def __init__(self, *, use_reference: bool = True, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=QuestionAnsweringCorrectness._metric_name,
             use_reference=use_reference,

vertexai/preview/evaluation/metrics/_question_answering_helpfulness.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `QuestionAnsweringHelpfulness` will result in an error. Please use"
+    " string metric name `question_answering_helpfulness` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class QuestionAnsweringHelpfulness(_base._ModelBasedMetric):
     """The model-based pointwise metric for Question Answering Helpfulness."""
 
     _metric_name = constants.Metric.QUESTION_ANSWERING_HELPFULNESS
 
     def __init__(self, *, use_reference: bool = False, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=QuestionAnsweringHelpfulness._metric_name,
             use_reference=use_reference,

vertexai/preview/evaluation/metrics/_question_answering_quality.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `QuestionAnsweringQuality` will result in an error. Please use"
+    " string metric name `question_answering_quality` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class QuestionAnsweringQuality(_base._ModelBasedMetric):
     """The model-based pointwise metric for Question Answering Quality."""
 
     _metric_name = constants.Metric.QUESTION_ANSWERING_QUALITY
 
     def __init__(self, *, use_reference: bool = False, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=QuestionAnsweringQuality._metric_name,
             use_reference=use_reference,

vertexai/preview/evaluation/metrics/_question_answering_relevance.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `QuestionAnsweringRelevance` will result in an error. Please use"
+    " string metric name `question_answering_relevance` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class QuestionAnsweringRelevance(_base._ModelBasedMetric):
     """The model-based pointwise metric for Question Answering Relevance."""
 
     _metric_name = constants.Metric.QUESTION_ANSWERING_RELEVANCE
 
     def __init__(self, *, use_reference: bool = False, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=QuestionAnsweringRelevance._metric_name,
             use_reference=use_reference,

vertexai/preview/evaluation/metrics/_safety.py

@@ -15,16 +15,26 @@
 # limitations under the License.
 #
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `Safety` will result in an error. Please use"
+    " string metric name `safety` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class Safety(_base._ModelBasedMetric):
     """The model-based pointwise metric for Safety."""
 
     _metric_name = constants.Metric.SAFETY
 
     def __init__(self, *, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=Safety._metric_name,
             version=version,

vertexai/preview/evaluation/metrics/_summarization_helpfulness.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `SummarizationHelpfulness` will result in an error. Please use"
+    " string metric name `summarization_helpfulness` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class SummarizationHelpfulness(_base._ModelBasedMetric):
     """The model-based pointwise metric for Summarization Helpfulness."""
 
     _metric_name = constants.Metric.SUMMARIZATION_HELPFULNESS
 
     def __init__(self, *, use_reference: bool = False, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=SummarizationHelpfulness._metric_name,
             use_reference=use_reference,

vertexai/preview/evaluation/metrics/_summarization_quality.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `SummarizationQuality` will result in an error. Please use"
+    " string metric name `summarization_quality` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class SummarizationQuality(_base._ModelBasedMetric):
     """The model-based pointwise metric for Summarization Quality."""
 
     _metric_name = constants.Metric.SUMMARIZATION_QUALITY
 
     def __init__(self, *, use_reference: bool = False, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=SummarizationQuality._metric_name,
             use_reference=use_reference,

vertexai/preview/evaluation/metrics/_summarization_verbosity.py

@@ -16,16 +16,26 @@
 #
 
 from typing import Optional
+import warnings
+
 from vertexai.preview.evaluation import constants
 from vertexai.preview.evaluation.metrics import _base
 
+_DEPRECATION_WARNING_MESSAGE = (
+    "After google-cloud-aiplatform>1.63.0, using metric class"
+    " `SummarizationVerbosity` will result in an error. Please use"
+    " string metric name `summarization_verbosity` or define a"
+    " PointwiseMetric instead."
+)
+
 
 class SummarizationVerbosity(_base._ModelBasedMetric):
     """The model-based pointwise metric for Summarization Verbosity."""
 
     _metric_name = constants.Metric.SUMMARIZATION_VERBOSITY
 
     def __init__(self, *, use_reference: bool = False, version: Optional[int] = None):
+        warnings.warn(message=_DEPRECATION_WARNING_MESSAGE)
         super().__init__(
             metric=SummarizationVerbosity._metric_name,
             use_reference=use_reference,