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refactor, chore(egen): Removes boilerplate, heading fixes, and other corrections from template (#3018)

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* Updated notebook templace and did minor changes in notebook comments

* Added link of colab enterprice

* Fixed the link related issue and removed unwated variable value

* Added below comment in notebook:
# @title Copyright & License (click to expand)

* Fixed the issue related to notebook template based on reviewers feedback

* Fixed issue based on feedback given on PR

* Fixed the issue based on feedback given on PR

* fix, chore: replace REGION with LOCATION, remove will, contracts 'is not'

---------

Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
This commit is contained in:
nileshspringml
2024-07-12 17:03:25 +00:00
committed by GitHub
co-authored by krishr2d2
parent 6ef29df46f
commit bcff5c3cb3
1 changed files with 102 additions and 200 deletions
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notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb
+102 -200
View File
@@ -29,29 +29,31 @@
"id": "rbTKH4_6f1ux"
},
"source": [
"## Online feature serving and fetching of BigQuery data with Vertex AI Feature Store\n",
"# Online feature serving and fetching of BigQuery data with Vertex AI Feature Store\n",
"\n",
"\n",
"<table align=\"left\">\n",
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Ffeature_store%2Fonline_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb\">\n",
" <img width=\"32px\" src=\"https://cloud.google.com/ml-engine/images/colab-enterprise-logo-32px.png\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
" </a>\n",
" </td> \n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\"><br> Open in Workbench\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
" </a>\n",
" </td> \n",
"</table>"
" </td>\n",
"</table>\n"
]
},
{
@@ -130,23 +132,29 @@
{
"cell_type": "markdown",
"metadata": {
"id": "yTJiDCrYsOmT"
"id": "3b1ffd5ab768"
},
"source": [
"## Installation\n",
"\n",
"Install the following packages required to execute this notebook."
"## Get started"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "aae9ca040eab"
},
"source": [
"### Install Vertex AI SDK for Python and other required packages\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GAqbE5Z2sTVM"
"id": "feec187f8410"
},
"outputs": [],
"source": [
"# Install the packages\n",
"! pip3 install --upgrade --quiet google-cloud-aiplatform\\\n",
" google-cloud-bigquery\\\n",
" db-dtypes"
@@ -155,180 +163,98 @@
{
"cell_type": "markdown",
"metadata": {
"id": "np60_uuCs7X5"
"id": "ff555b32bab8"
},
"source": [
"### Colab only: Uncomment the following cell to restart the kernel."
"### Restart runtime (Colab only)\n",
"\n",
"To use the newly installed packages, you must restart the runtime on Google Colab."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "_u0aEgaSs-3v"
"id": "f09b4dff629a"
},
"outputs": [],
"source": [
"# # Automatically restart kernel after installs so that your environment can access the new packages\n",
"# import IPython\n",
"import sys\n",
"\n",
"# app = IPython.Application.instance()\n",
"# app.kernel.do_shutdown(True)"
"if \"google.colab\" in sys.modules:\n",
"\n",
" import IPython\n",
"\n",
" app = IPython.Application.instance()\n",
" app.kernel.do_shutdown(True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mdqw6ADTtJRI"
"id": "54c5ef8a8f43"
},
"source": [
"## Before you begin\n",
"\n",
"### Set up your Google Cloud project\n",
"\n",
"**The following steps are required, regardless of your notebook environment.**\n",
"\n",
"1. [Select or create a Google Cloud project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\n",
"\n",
"2. [Make sure that billing is enabled for your project](https://cloud.google.com/billing/docs/how-to/modify-project).\n",
"\n",
"3. [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).\n",
"\n",
"4. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk)."
"<div class=\"alert alert-block alert-warning\">\n",
"<b>⚠️ The kernel is going to restart. Wait until it's finished before continuing to the next step. ⚠️</b>\n",
"</div>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "bFANidV0tPbo"
"id": "92e68cfc3a90"
},
"source": [
"#### Set your project ID\n",
"### Authenticate your notebook environment (Colab only)\n",
"\n",
"**If you don't know your project ID**, try the following:\n",
"* Run `gcloud config list`.\n",
"* Run `gcloud projects list`.\n",
"* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
"Authenticate your environment on Google Colab.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "t5cutPRQtQ7m"
"id": "46604f70e831"
},
"outputs": [],
"source": [
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules:\n",
"\n",
" from google.colab import auth\n",
"\n",
" auth.authenticate_user()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "107c51893a64"
},
"source": [
"### Set Google Cloud project information and initialize Vertex AI SDK for Python\n",
"\n",
"To get started using Vertex AI, you must have an existing Google Cloud project and [enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com). Learn more about [setting up a project and a development environment](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "36840c73a5e4"
},
"outputs": [],
"source": [
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
"LOCATION = \"us-central1\" # @param {type:\"string\"}\n",
"\n",
"# Set the project id\n",
"! gcloud config set project {PROJECT_ID}"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lfY8yWnbtZ0K"
},
"source": [
"#### Region\n",
"\n",
"You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations). Note that the new API is currently only available in the following regions:\n",
"* `us-centra1`\n",
"* `us-east1`\n",
"* `us-east4`\n",
"* `us-west1`\n",
"* `us-west2`\n",
"* `us-west3`\n",
"* `europe-west2`\n",
"* `europe-west3`\n",
"* `europe-west4`\n",
"* `europe-west8`\n",
"* `asia-southeast1`\n",
"* `asia-northeast2`"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "G6iMMALZthFM"
},
"outputs": [],
"source": [
"REGION = \"us-east1\" # @param {type: \"string\"}"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Ni5jx6RGtzG3"
},
"source": [
"### Authenticate your Google Cloud account\n",
"from google.cloud import aiplatform\n",
"\n",
"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UzsMphY2t4-v"
},
"source": [
"**1. Vertex AI Workbench**\n",
"* Do nothing as you are already authenticated."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "R_OnJm_Yt8bw"
},
"source": [
"**2. Local JupyterLab instance, uncomment and run:**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "x4ybIfzhuAOc"
},
"outputs": [],
"source": [
"# ! gcloud auth login"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "gmnRqX6BuBnx"
},
"source": [
"**3. Colab, uncomment and run:**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "uN9JoC1buE9P"
},
"outputs": [],
"source": [
"# from google.colab import auth\n",
"# auth.authenticate_user()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YNAvMVJjuH5b"
},
"source": [
"**4. Service account or other**\n",
"* See how to grant Cloud Storage permissions to your service account at https://cloud.google.com/storage/docs/gsutil/commands/iam#ch-examples."
"aiplatform.init(project=PROJECT_ID, location=LOCATION)\n",
"API_ENDPOINT = f\"{LOCATION}-aiplatform.googleapis.com\""
]
},
{
@@ -348,7 +274,7 @@
},
"outputs": [],
"source": [
"from google.cloud import aiplatform, bigquery\n",
"from google.cloud import bigquery\n",
"from google.cloud.aiplatform_v1 import (FeatureOnlineStoreAdminServiceClient,\n",
" FeatureOnlineStoreServiceClient,\n",
" FeatureRegistryServiceClient)\n",
@@ -369,30 +295,6 @@
"from google.cloud.aiplatform_v1.types import io as io_pb2"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6ooJNSOvu6Q5"
},
"source": [
"### Initialize Vertex AI SDK for Python\n",
"\n",
"Initialize the Vertex AI SDK for Python for your project."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "mLTm3pquu9ar"
},
"outputs": [],
"source": [
"aiplatform.init(project=PROJECT_ID, location=REGION)\n",
"\n",
"API_ENDPOINT = f\"{REGION}-aiplatform.googleapis.com\""
]
},
{
"cell_type": "markdown",
"metadata": {
@@ -499,7 +401,7 @@
},
"outputs": [],
"source": [
"# First, create a dataset if it does not already exist. The source data for this demo is located in the US region, so the dataset must also be located in the US region.\n",
"# First, create a dataset if it doesn't already exist. The source data for this demo is located in the US region, so the dataset must also be located in the US region.\n",
"\n",
"BQ_DATASET_ID = \"featurestore_demo\" # @param {type:\"string\"}\n",
"dataset = bigquery.Dataset(f\"{PROJECT_ID}.{BQ_DATASET_ID}\")\n",
@@ -553,7 +455,7 @@
" * Create a `FeatureOnlineStore` instance with autoscaling.\n",
"1. Define the data (`FeatureView`) to be served by the newly-created instance. This can either map to\n",
" * The BigQuery view that you just created for serving data.\n",
" * The `FeatureGroup` and `Feature` we will create to host feature metadata.\n",
" * The `FeatureGroup` and `Feature` you'll create to host feature metadata.\n",
"\n",
"Bigtable serving latency is affected by the (Bigtable) load. However, when Bigtable is not overloaded, benchmarks show that the expected server-side latency is around 30 ms, measured at around 100 qps. The client-side latency is expected to be more than 5 ms higher than the server-side latency."
]
@@ -615,7 +517,7 @@
"\n",
"create_store_lro = admin_client.create_feature_online_store(\n",
" feature_online_store_admin_service_pb2.CreateFeatureOnlineStoreRequest(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}\",\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}\",\n",
" feature_online_store_id=FEATURE_ONLINE_STORE_ID,\n",
" feature_online_store=online_store_config,\n",
" )\n",
@@ -666,7 +568,7 @@
"source": [
"# Use list to verify the store is created.\n",
"admin_client.list_feature_online_stores(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}\"\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}\"\n",
")"
]
},
@@ -701,7 +603,7 @@
"source": [
"##### Data source preparation guidelines for BigQuery data source\n",
"\n",
"If the feature data for online serving is not already available in a BigQuery table or view, you can create a BigQuery dataset and table, and then load the data into it.\n",
"If the feature data for online serving isn't already available in a BigQuery table or view, you can create a BigQuery dataset and table, and then load the data into it.\n",
"\n",
"Note that if you choose to use BigQuery source, Feature Store only provides the option to snapshot and sync the entire BigQuery table or view for online serving. You need to construct this table or view to reflect the latest data to be served. Therefore, a timestamp column is not needed, since timestamps aren't used to differentiate the feature values.\n",
"\n",
@@ -736,7 +638,7 @@
"\n",
"create_view_lro = admin_client.create_feature_view(\n",
" feature_online_store_admin_service_pb2.CreateFeatureViewRequest(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\",\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\",\n",
" feature_view_id=FEATURE_VIEW_ID,\n",
" feature_view=feature_view_pb2.FeatureView(\n",
" big_query_source=big_query_source,\n",
@@ -768,7 +670,7 @@
"source": [
"#### [Optional] Create FeatureGroup/Features\n",
"\n",
"Create a FeatureGroup pointing to the created BigQuery view for the demo. We will then create features for each column we would like to register.\n"
"Create a FeatureGroup pointing to the created BigQuery view for the demo. You then create features for each column you'd like to register.\n"
]
},
{
@@ -779,7 +681,7 @@
"source": [
"##### Data source preparation guidelines for Feature Registry data source\n",
"\n",
"Note that if you choose to use Feature Registry source, Feature Store only provides the option to support time-series sources for which Feature Store will generate latest featureValues.\n",
"Note that if you choose to use Feature Registry source, Feature Store only provides the option to support time-series sources for which Feature Store generates latest featureValues.\n",
"\n",
"Use the following guidelines to understand the schema and constraints while creating the BigQuery source:\n",
"\n",
@@ -829,7 +731,7 @@
"\n",
"create_group_lro = registry_client.create_feature_group(\n",
" feature_registry_service_pb2.CreateFeatureGroupRequest(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}\",\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}\",\n",
" feature_group_id=FEATURE_GROUP_ID,\n",
" feature_group=feature_group_config,\n",
" )\n",
@@ -869,7 +771,7 @@
" create_feature_lros.append(\n",
" registry_client.create_feature(\n",
" featurestore_service_pb2.CreateFeatureRequest(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}/featureGroups/{FEATURE_GROUP_ID}\",\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureGroups/{FEATURE_GROUP_ID}\",\n",
" feature_id=id,\n",
" feature=feature_pb2.Feature(),\n",
" )\n",
@@ -921,7 +823,7 @@
"\n",
"create_view_lro = admin_client.create_feature_view(\n",
" feature_online_store_admin_service_pb2.CreateFeatureViewRequest(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\",\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\",\n",
" feature_view_id=FEATURE_VIEW_ID,\n",
" feature_view=feature_view_pb2.FeatureView(\n",
" feature_registry_source=feature_registry_source,\n",
@@ -953,7 +855,7 @@
"source": [
"# Again, list all feature view under the FEATURE_ONLINE_STORE_ID to confirm\n",
"admin_client.list_feature_views(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\"\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\"\n",
")"
]
},
@@ -989,7 +891,7 @@
"outputs": [],
"source": [
"sync_response = admin_client.sync_feature_view(\n",
" feature_view=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\"\n",
" feature_view=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\"\n",
")"
]
},
@@ -1045,7 +947,7 @@
"outputs": [],
"source": [
"admin_client.list_feature_view_syncs(\n",
" parent=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\"\n",
" parent=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\"\n",
")"
]
},
@@ -1092,7 +994,7 @@
"source": [
"data_client.fetch_feature_values(\n",
" request=feature_online_store_service_pb2.FetchFeatureValuesRequest(\n",
" feature_view=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\",\n",
" feature_view=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\",\n",
" data_key=feature_online_store_service_pb2.FeatureViewDataKey(key=\"28098\"),\n",
" )\n",
")"
@@ -1117,7 +1019,7 @@
"source": [
"data_client.fetch_feature_values(\n",
" request=feature_online_store_service_pb2.FetchFeatureValuesRequest(\n",
" feature_view=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\",\n",
" feature_view=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\",\n",
" data_key=feature_online_store_service_pb2.FeatureViewDataKey(key=\"28098\"),\n",
" data_format=feature_online_store_service_pb2.FeatureViewDataFormat.PROTO_STRUCT,\n",
" )\n",
@@ -1149,22 +1051,22 @@
"# Delete Features\n",
"for id in FEATURE_IDS:\n",
" registry_client.delete_feature(\n",
" name=f\"projects/{PROJECT_ID}/locations/{REGION}/featureGroups/{FEATURE_GROUP_ID}/features/{id}\"\n",
" name=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureGroups/{FEATURE_GROUP_ID}/features/{id}\"\n",
" )\n",
"\n",
"# Delete Featuregroup\n",
"registry_client.delete_feature_group(\n",
" name=f\"projects/{PROJECT_ID}/locations/{REGION}/featureGroups/{FEATURE_GROUP_ID}\"\n",
" name=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureGroups/{FEATURE_GROUP_ID}\"\n",
")\n",
"\n",
"# Delete FeatureViews\n",
"admin_client.delete_feature_view(\n",
" name=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\"\n",
" name=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}/featureViews/{FEATURE_VIEW_ID}\"\n",
")\n",
"\n",
"# Delete OnlineStore\n",
"admin_client.delete_feature_online_store(\n",
" name=f\"projects/{PROJECT_ID}/locations/{REGION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\",\n",
" name=f\"projects/{PROJECT_ID}/locations/{LOCATION}/featureOnlineStores/{FEATURE_ONLINE_STORE_ID}\",\n",
" force=True,\n",
")\n",
"\n",