fix: remove hardwired project number

notebooks/community/ml_ops/stage4/get_started_with_vertex_ml_metadata_and_automl.ipynb

@@ -255,6 +255,30 @@
         "! gcloud config set project $PROJECT_ID"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "23988890fef6"
+      },
+      "source": [
+        "#### Get your project number\n",
+        "\n",
+        "Now that the project ID is set, you get your corresponding project number."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "2d6950574e1d"
+      },
+      "outputs": [],
+      "source": [
+        "shell_output = ! gcloud projects list --filter=\"PROJECT_ID:'{PROJECT_ID}'\" --format='value(PROJECT_NUMBER)'\n",
+        "PROJECT_NUMBER = shell_output[0]\n",
+        "print(\"Project Number:\", PROJECT_NUMBER)"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -730,7 +754,7 @@
         "\n",
         "artifact_item = Artifact(\n",
         "    display_name=\"flowers_\" + TIMESTAMP,\n",
-        "    uri=\"https://us-central1-aiplatform.googleapis.com/v1/\" + dataset.resource_name,\n",
+        "    uri=f\"https://{REGION}-aiplatform.googleapis.com/v1/\" + dataset.resource_name,\n",
         "    name=dataset.resource_name,\n",
         "    schema_title=\"google.VertexDataset\",\n",
         "    metadata={\"data_type\": \"image\", \"annotation_type\": \"image classification\"},\n",
@@ -738,7 +762,7 @@
         ")\n",
         "\n",
         "artifact_dataset = clients[\"metadata\"].create_artifact(\n",
-        "    parent=\"projects/759209241365/locations/us-central1/metadataStores/default\",\n",
+        "    parent=f\"projects/{PROJECT_NUMBER}/locations/{REGION}/metadataStores/default\",\n",
         "    artifact=artifact_item,\n",
         "    artifact_id=dataset.resource_name.split(\"/\")[-1],\n",
         ")\n",
@@ -869,7 +893,7 @@
       "source": [
         "artifact_item = Artifact(\n",
         "    display_name=\"flowers_\" + TIMESTAMP,\n",
-        "    uri=\"https://us-central1-aiplatform.googleapis.com/v1/\" + model.resource_name,\n",
+        "    uri=f\"https://{REGION}-aiplatform.googleapis.com/v1/\" + model.resource_name,\n",
         "    name=model.resource_name,\n",
         "    schema_title=\"google.VertexModel\",\n",
         "    metadata={\"model_type\": \"image classification\"},\n",
@@ -877,7 +901,7 @@
         ")\n",
         "\n",
         "artifact_model = clients[\"metadata\"].create_artifact(\n",
-        "    parent=\"projects/759209241365/locations/us-central1/metadataStores/default\",\n",
+        "    parent=f\"projects/{PROJECT_NUMBER}/locations/{REGION}/metadataStores/default\",\n",
         "    artifact=artifact_item,\n",
         "    artifact_id=model.resource_name.split(\"/\")[-1],\n",
         ")\n",
@@ -941,7 +965,7 @@
       "source": [
         "artifact_item = Artifact(\n",
         "    display_name=\"flowers_\" + TIMESTAMP,\n",
-        "    uri=\"https://us-central1-aiplatform.googleapis.com/v1/\"\n",
+        "    uri=f\"https://{REGION}-aiplatform.googleapis.com/v1/\"\n",
         "    + model_evaluations[0].resource_name,\n",
         "    name=model_evaluations[0].resource_name,\n",
         "    schema_title=\"system.SlicedClassificationMetrics\",\n",
@@ -950,7 +974,7 @@
         ")\n",
         "\n",
         "artifact_metrics = clients[\"metadata\"].create_artifact(\n",
-        "    parent=\"projects/759209241365/locations/us-central1/metadataStores/default\",\n",
+        "    parent=f\"projects/{PROJECT_NUMBER}/locations/{REGION}/metadataStores/default\",\n",
         "    artifact=artifact_item,\n",
         "    artifact_id=model_evaluations[0].resource_name.split(\"/\")[-1],\n",
         ")\n",
@@ -1011,7 +1035,7 @@
       "source": [
         "artifact_item = Artifact(\n",
         "    display_name=\"flowers_\" + TIMESTAMP,\n",
-        "    uri=\"https://us-central1-aiplatform.googleapis.com/v1/\" + endpoint.resource_name,\n",
+        "    uri=f\"https://{REGION}-aiplatform.googleapis.com/v1/\" + endpoint.resource_name,\n",
         "    name=endpoint.resource_name,\n",
         "    schema_title=\"google.VertexEndpoint\",\n",
         "    metadata={\"param\": \"value\"},\n",
@@ -1019,7 +1043,7 @@
         ")\n",
         "\n",
         "artifact_endpoint = clients[\"metadata\"].create_artifact(\n",
-        "    parent=\"projects/759209241365/locations/us-central1/metadataStores/default\",\n",
+        "    parent=f\"projects/{PROJECT_NUMBER}/locations/{REGION}/metadataStores/default\",\n",
         "    artifact=artifact_item,\n",
         "    artifact_id=endpoint.resource_name.split(\"/\")[-1],\n",
         ")\n",
@@ -1058,7 +1082,7 @@
         "from google.cloud.aiplatform_v1beta1.types import Execution\n",
         "\n",
         "execution = clients[\"metadata\"].create_execution(\n",
-        "    parent=\"projects/759209241365/locations/us-central1/metadataStores/default\",\n",
+        "    parent=f\"projects/{PROJECT_NUMBER}/locations/{REGION}/metadataStores/default\",\n",
         "    execution=Execution(\n",
         "        display_name=\"AutoML training and deployment\",\n",
         "        schema_title=\"system.ContainerExecution\",\n",
@@ -1157,7 +1181,7 @@
         "from google.cloud.aiplatform_v1beta1.types import Context\n",
         "\n",
         "context = clients[\"metadata\"].create_context(\n",
-        "    parent=\"projects/759209241365/locations/us-central1/metadataStores/default\",\n",
+        "    parent=f\"projects/{PROJECT_NUMBER}/locations/{REGION}/metadataStores/default\",\n",
         "    context=Context(\n",
         "        display_name=\"flowers_\" + TIMESTAMP,\n",
         "        schema_title=\"system.Pipeline\",\n",