Model links lazy evaluation in pipeline code

.github/workflows/update-templates-to-examples.yml

@@ -95,7 +95,7 @@ jobs:
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
-            github.issues.createComment({
+            github.rest.issues.createComment({
               issue_number: ${{ github.event.pull_request.number }},
               owner: context.repo.owner,
               repo: context.repo.repo,
@@ -165,7 +165,7 @@ jobs:
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
-            github.issues.createComment({
+            github.rest.issues.createComment({
               issue_number: ${{ github.event.pull_request.number }},
               owner: context.repo.owner,
               repo: context.repo.repo,
@@ -237,7 +237,7 @@ jobs:
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |-
-            github.issues.createComment({
+            github.rest.issues.createComment({
               issue_number: ${{ github.event.pull_request.number }},
               owner: context.repo.owner,
               repo: context.repo.repo,

examples/e2e/steps/deployment/deployment_deploy.py

@@ -65,9 +65,9 @@ def deployment_deploy() -> (
         # deploy predictor service
         deployment_service = mlflow_model_registry_deployer_step.entrypoint(
             registry_model_name=model_version.name,
-            registry_model_version=model_version.metadata[
+            registry_model_version=model_version.run_metadata[
                 "model_registry_version"
-            ],
+            ].value,
             replace_existing=True,
         )
     else:

examples/e2e/steps/promotion/promote_with_metric_compare.py

@@ -90,17 +90,17 @@ def promote_with_metric_compare(
         logger.info(f"Current model version was promoted to '{target_env}'.")
 
         # Promote in Model Registry
-        latest_version_model_registry_number = latest_version.metadata[
+        latest_version_model_registry_number = latest_version.run_metadata[
             "model_registry_version"
-        ]
+        ].value
         if current_version_number is None:
             current_version_model_registry_number = (
                 latest_version_model_registry_number
             )
         else:
-            current_version_model_registry_number = current_version.metadata[
-                "model_registry_version"
-            ]
+            current_version_model_registry_number = (
+                current_version.run_metadata["model_registry_version"].value
+            )
         promote_in_model_registry(
             latest_version=latest_version_model_registry_number,
             current_version=current_version_model_registry_number,
@@ -109,7 +109,9 @@ def promote_with_metric_compare(
         )
         promoted_version = latest_version_model_registry_number
     else:
-        promoted_version = current_version.metadata["model_registry_version"]
+        promoted_version = current_version.run_metadata[
+            "model_registry_version"
+        ].value
 
     logger.info(
         f"Current model version in `{target_env}` is `{promoted_version}` registered in Model Registry"

src/zenml/__init__.py

@@ -46,6 +46,7 @@
 from zenml.artifacts.artifact_config import ArtifactConfig
 from zenml.artifacts.external_artifact import ExternalArtifact
 from zenml.model.model_version import ModelVersion
+from zenml.model.utils import log_model_version_metadata
 from zenml.new.pipelines.pipeline_context import get_pipeline_context
 from zenml.new.pipelines.pipeline_decorator import pipeline
 from zenml.new.steps.step_decorator import step

src/zenml/cli/model.py

@@ -60,7 +60,7 @@ def _model_version_to_print(
         "number": model_version.number,
         "description": model_version.description,
         "stage": model_version.stage,
-        "metadata": model_version.to_model_version().metadata,
+        "metadata": model_version.to_model_version().run_metadata,
         "tags": [t.name for t in model_version.tags],
         "data_artifacts_count": len(model_version.data_artifact_ids),
         "model_artifacts_count": len(model_version.model_artifact_ids),

src/zenml/config/step_configurations.py

@@ -34,6 +34,7 @@
 from zenml.config.source import Source, convert_source_validator
 from zenml.config.strict_base_model import StrictBaseModel
 from zenml.logger import get_logger
+from zenml.model.lazy_load import ModelVersionDataLazyLoader
 from zenml.model.model_version import ModelVersion
 from zenml.utils import deprecation_utils
 
@@ -152,6 +153,7 @@ class PartialStepConfiguration(StepConfigurationUpdate):
     name: str
     caching_parameters: Mapping[str, Any] = {}
     external_input_artifacts: Mapping[str, ExternalArtifactConfiguration] = {}
+    model_artifacts_or_metadata: Mapping[str, ModelVersionDataLazyLoader] = {}
     outputs: Mapping[str, PartialArtifactConfiguration] = {}
 
     # Override the deprecation validator as we do not want to deprecate the

src/zenml/metadata/lazy_load.py

@@ -0,0 +1,64 @@
+#  Copyright (c) ZenML GmbH 2024. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at:
+#
+#       https://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+#  or implied. See the License for the specific language governing
+#  permissions and limitations under the License.
+"""Run Metadata Lazy Loader definition."""
+
+from typing import TYPE_CHECKING, Optional
+
+if TYPE_CHECKING:
+    from zenml.model.model_version import ModelVersion
+    from zenml.models import RunMetadataResponse
+
+
+class RunMetadataLazyGetter:
+    """Run Metadata Lazy Getter helper class.
+
+    It serves the purpose to feed back to the user the metadata
+    lazy loader wrapper for any given key, if called inside a pipeline
+    design time context.
+    """
+
+    def __init__(
+        self,
+        _lazy_load_model_version: "ModelVersion",
+        _lazy_load_artifact_name: Optional[str],
+        _lazy_load_artifact_version: Optional[str],
+    ):
+        """Initialize a RunMetadataLazyGetter.
+
+        Args:
+            _lazy_load_model_version: The model version.
+            _lazy_load_artifact_name: The artifact name.
+            _lazy_load_artifact_version: The artifact version.
+        """
+        self._lazy_load_model_version = _lazy_load_model_version
+        self._lazy_load_artifact_name = _lazy_load_artifact_name
+        self._lazy_load_artifact_version = _lazy_load_artifact_version
+
+    def __getitem__(self, key: str) -> "RunMetadataResponse":
+        """Get the metadata for the given key.
+
+        Args:
+            key: The metadata key.
+
+        Returns:
+            The metadata lazy loader wrapper for the given key.
+        """
+        from zenml.models.v2.core.run_metadata import LazyRunMetadataResponse
+
+        return LazyRunMetadataResponse(
+            _lazy_load_model_version=self._lazy_load_model_version,
+            _lazy_load_artifact_name=self._lazy_load_artifact_name,
+            _lazy_load_artifact_version=self._lazy_load_artifact_version,
+            _lazy_load_metadata_name=key,
+        )

src/zenml/metadata/metadata_types.py

@@ -13,10 +13,13 @@
 #  permissions and limitations under the License.
 """Custom types that can be used as metadata of ZenML artifacts."""
 
-from typing import Any, Dict, List, Set, Tuple, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Set, Tuple, Union
 
 from zenml.utils.enum_utils import StrEnum
 
+if TYPE_CHECKING:
+    pass
+
 
 class Uri(str):
     """Special string class to indicate a URI."""

src/zenml/model/lazy_load.py

@@ -0,0 +1,34 @@
+#  Copyright (c) ZenML GmbH 2024. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at:
+#
+#       https://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+#  or implied. See the License for the specific language governing
+#  permissions and limitations under the License.
+"""Model Version Data Lazy Loader definition."""
+
+from typing import Optional
+
+from pydantic import BaseModel
+
+from zenml.model.model_version import ModelVersion
+
+
+class ModelVersionDataLazyLoader(BaseModel):
+    """Model Version Data Lazy Loader helper class.
+
+    It helps the inner codes to fetch proper artifact,
+    model version metadata or artifact metadata from the
+    model version during runtime time of the step.
+    """
+
+    model_version: ModelVersion
+    artifact_name: Optional[str] = None
+    artifact_version: Optional[str] = None
+    metadata_name: Optional[str] = None