Prepare release 0.52.0 (#2137)

README.md

@@ -89,7 +89,7 @@
     <a href="https://www.zenml.io/company#team">Meet the Team</a>
     <br />
     <br />
-    🎉 Version 0.51.0 is out. Check out the release notes
+    🎉 Version 0.52.0 is out. Check out the release notes
     <a href="https://github.com/zenml-io/zenml/releases">here</a>.
     <br />
     <br />

RELEASE_NOTES.md

@@ -1,4 +1,48 @@
 <!-- markdown-link-check-disable -->
+# 0.52.0
+
+This adds the ability to pass in pipeline parameters as YAML configuration and fixes a couple of minor issues affecting the W&B integration and the way expiring credentials are refreshed when service connectors are used.
+
+## Breaking Change
+
+The current pipeline YAML configurations are now being validated to ensure that configured parameters match what is available in the code. This means that if you have a pipeline that is configured with a parameter that has a different value that what is provided through code, the pipeline will fail to run. This is a breaking change, but it is a good thing as it will help you catch errors early on.
+
+This is an example of a pipeline configuration that will fail to run:
+
+```yaml
+parameters:
+    some_param: 24
+
+steps:
+  my_step:
+    parameters:
+      input_2: 42
+```
+
+```python
+# run.py
+@step
+def my_step(input_1: int, input_2: int) -> None:
+    pass
+
+@pipeline
+def my_pipeline(some_param: int):
+    # here an error will be raised since `input_2` is
+    # `42` in config, but `43` was provided in the code
+    my_step(input_1=42, input_2=43)
+
+if __name__=="__main__":
+    # here an error will be raised since `some_param` is
+    # `24` in config, but `23` was provided in the code
+    my_pipeline(23)
+```
+
+## What's Changed
+* Passing pipeline parameters as yaml config by @avishniakov in https://github.com/zenml-io/zenml/pull/2058
+* Side-effect free tests by @avishniakov in https://github.com/zenml-io/zenml/pull/2065
+* Fix various bugs by @stefannica in https://github.com/zenml-io/zenml/pull/2124
+
+**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.51.0...0.52.0
 
 # 0.51.0
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "zenml"
-version = "0.51.0"
+version = "0.52.0"
 packages = [{ include = "zenml", from = "src" }]
 description = "ZenML: Write production-ready ML code."
 authors = ["ZenML GmbH <info@zenml.io>"]

src/zenml/VERSION

@@ -1 +1 @@
-0.51.0
+0.52.0

src/zenml/zen_server/deploy/helm/Chart.yaml

@@ -1,6 +1,6 @@
 apiVersion: v2
 name: zenml
-version: "0.51.0"
+version: "0.52.0"
 description: Open source MLOps framework for portable production ready ML pipelines
 keywords:
 - mlops

src/zenml/zen_server/deploy/helm/README.md

@@ -20,8 +20,8 @@ ZenML is an open-source MLOps framework designed to help you create robust, main
 To install the ZenML chart directly from Amazon ECR, use the following command:
 
 ```bash
-# example command for version 0.51.0
-helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.51.0
+# example command for version 0.52.0
+helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.52.0
 ```
 
 Note: Ensure you have OCI support enabled in your Helm client and that you are authenticated with Amazon ECR.

src/zenml/zen_stores/migrations/versions/0.52.0_release.py

@@ -0,0 +1,24 @@
+"""Release [0.52.0].
+
+Revision ID: 0.52.0
+Revises: e5225281b4d3
+Create Date: 2023-12-12 17:15:11.532341
+
+"""
+
+
+# revision identifiers, used by Alembic.
+revision = "0.52.0"
+down_revision = "e5225281b4d3"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    """Upgrade database schema and/or data, creating a new revision."""
+    pass
+
+
+def downgrade() -> None:
+    """Downgrade database schema and/or data back to the previous revision."""
+    pass