Merge pull request #21 from zenml-io/feature/remove-pipeline-versions

Adjust tests to pipeline version removal

template/README.md

@@ -139,7 +139,7 @@ zenml model list
 
 This will show you a new `breast_cancer_classifier` model with two versions, `sgd` and `rf` created. You can find out how this was configured in the [YAML pipeline configuration files](configs/).
 
-If you are a [ZenML Cloud](https://zenml.io/cloud) user, you can see all of this visualized in the dashboard:
+If you are a [ZenML Pro](https://zenml.io/pro) user, you can see all of this visualized in the dashboard:
 
 <img src=".assets/cloud_mcp_screenshot.png" width="70%" alt="Model Control Plane">
 
@@ -165,7 +165,7 @@ While we've demonstrated a manual promotion process for clarity, a more in-depth
 
 <img src=".assets/cloud_mcp.png" width="60%" alt="Model Control Plane">
 
-Again, if you are a [ZenML Cloud](https://zenml.io/cloud) user, you would be able to see all this in the cloud dashboard.
+Again, if you are a [ZenML Pro](https://zenml.io/pro) user, you would be able to see all this in the cloud dashboard.
 
 </details>
 
@@ -184,7 +184,7 @@ that were returned in the pipeline. This completes the MLOps loop of training to
 
 <img src=".assets/inference_pipeline.png" width="45%" alt="Inference pipeline">
 
-You can also see all predictions ever created as a complete history in the dashboard (Again only for [ZenML Cloud](https://zenml.io/cloud) users):
+You can also see all predictions ever created as a complete history in the dashboard (Again only for [ZenML Pro](https://zenml.io/pro) users):
 
 <img src=".assets/cloud_mcp_predictions.png" width="70%" alt="Model Control Plane">
 
@@ -203,7 +203,7 @@ If you want to learn more about ZenML as a tool, then the
 to get started. In particular, the [Production Guide](https://docs.zenml.io/user-guide/production-guide/)
 goes into more detail as to how to transition these same pipelines into production on the cloud.
 
-The best way to get a production ZenML instance up and running with all batteries included is the [ZenML Cloud](https://zenml.io/cloud). Check it out!
+The best way to get a production ZenML instance up and running with all batteries included is the [ZenML Pro](https://zenml.io/pro). Check it out!
 
 Also, make sure to join our <a href="https://zenml.io/slack" target="_blank">
     <img width="15" src="https://cdn3.iconfinder.com/data/icons/logos-and-brands-adobe/512/306_Slack-512.png" alt="Slack"/>

template/quickstart.ipynb

@@ -101,14 +101,14 @@
    "id": "966ce581",
    "metadata": {},
    "source": [
-    "## ☁️ Step 1: Connect to ZenML Cloud\n",
+    "## ☁️ Step 1: Connect to ZenML Pro\n",
     "\n",
-    "If you are using [ZenML Cloud](https://zenml.io/cloud), execute the following\n",
+    "If you are using [ZenML Pro](https://zenml.io/pro), execute the following\n",
     "cell with your tenant URL. Otherwise ignore.\n",
     "\n",
-    "ZenML Cloud is a managed service that provides a hosted ZenML environment. It\n",
+    "ZenML Pro is a managed service that provides a hosted ZenML environment. It\n",
     "allows you to run your pipelines on the cloud, manage your metadata, and\n",
-    "collaborate with your team. Sign up at [ZenML Cloud](https://zenml.io/cloud) for\n",
+    "collaborate with your team. Sign up [here](https://zenml.io/pro) for\n",
     "a free trial and to get started!"
    ]
   },
@@ -858,7 +858,7 @@
    "id": "53517a9a",
    "metadata": {},
    "source": [
-    "If you are a [ZenML Cloud](https://zenml.io/cloud) user, you can see all of this visualized in the dashboard:\n",
+    "If you are a [ZenML Pro](https://zenml.io/pro) user, you can see all of this visualized in the dashboard:\n",
     "\n",
     "<img src=\".assets/cloud_mcp_screenshot.png\" width=\"70%\" alt=\"Model Control Plane\">"
    ]
@@ -1102,7 +1102,7 @@
     "## What next?\n",
     "\n",
     "* If you have questions or feedback... join our [**Slack Community**](https://zenml.io/slack) and become part of the ZenML family!\n",
-    "* If you want to quickly get started with ZenML, check out the [ZenML Cloud](https://zenml.io/cloud)."
+    "* If you want to quickly get started with ZenML, check out [ZenML Pro](https://zenml.io/pro)."
    ]
   }
  ],

tests/test_starter_template.py

@@ -66,7 +66,7 @@ def generate_and_run_project(
         "--training-pipeline",
         "--feature-pipeline",
         "--inference-pipeline",
-        "--no-cache"
+        "--no-cache",
     ]
 
     try:
@@ -83,11 +83,15 @@ def generate_and_run_project(
         ) from e
 
     # check the pipeline run is successful
-    for pipeline_name in ["training", "inference", "feature_engineering"]:
+    for pipeline_name, run_count in [
+        ("training", 2),
+        ("inference", 1),
+        ("feature_engineering", 1),
+    ]:
         pipeline = Client().get_pipeline(pipeline_name)
         assert pipeline
         runs = pipeline.runs
-        assert len(runs) == 1
+        assert len(runs) == run_count
         assert runs[0].status == ExecutionStatus.COMPLETED
 
         # clean up