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Migrate gsutil usage to gcloud storage (#4337)

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* Migrate gsutil usage to gcloud storage

* Manual Changes

* Manual Changes

* Manual Changes

* Manual Changes

* Revert "Manual Changes"

This reverts commit 3ef23f1456.

* Manaul Changes

* Changes for 4337

* Fix: Resolved linter errors and formatted notebooks

* Revert "Fix: Resolved linter errors and formatted notebooks"

This reverts commit 7534760fe1.

* Revert "Changes for 4337"

This reverts commit f497568138.

* Changes for 4337

* gcloud to gsutil migration

* removed changes for model garden

* Update model_garden_axolotl_qwen3_finetuning.ipynb

* Update model_garden_axolotl_qwen3_finetuning.ipynb

---------

Co-authored-by: bhandarivijay <bhandarivijay@google.com>
Co-authored-by: gurusai-voleti <gvoleti@google.com>
This commit is contained in:
Margubur Rahman
2025-12-25 10:39:31 -05:00
committed by GitHub
co-authored by bhandarivijay gurusai-voleti
parent 2a8ad7cdbb
commit 8d22b221b4
9 changed files with 71 additions and 142 deletions
Download Patch File Download Diff File Expand all files Collapse all files
notebooks/community/gapic/automl/showcase_automl_tabular_binary_classification_batch.ipynb
+10 -20
View File
@@ -421,8 +421,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION $BUCKET_NAME"
]
"! gcloud storage buckets create --location $REGION $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -441,8 +440,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_NAME"
]
"! gcloud storage ls --all-versions --long $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -809,14 +807,11 @@
},
"outputs": [],
"source": [
"count = ! gsutil cat $IMPORT_FILE | wc -l\n",
"print(\"Number of Examples\", int(count[0]))\n",
"count = ! gcloud storage cat $IMPORT_FILE | wc -l\n", "print(\"Number of Examples\", int(count[0]))\n",
"\n",
"print(\"First 10 rows\")\n",
"! gsutil cat $IMPORT_FILE | head\n",
"\n",
"heading = ! gsutil cat $IMPORT_FILE | head -n1\n",
"label_column = str(heading).split(\",\")[-1].split(\"'\")[0]\n",
"! gcloud storage cat $IMPORT_FILE | head\n", "\n",
"heading = ! gcloud storage cat $IMPORT_FILE | head -n1\n", "label_column = str(heading).split(\",\")[-1].split(\"'\")[0]\n",
"print(\"Label Column Name\", label_column)\n",
"if label_column is None:\n",
" raise Exception(\"label column missing\")"
@@ -1377,8 +1372,7 @@
" f.write(str(INSTANCE_2) + \"\\n\")\n",
"\n",
"print(gcs_input_uri)\n",
"! gsutil cat $gcs_input_uri"
]
"! gcloud storage cat $gcs_input_uri" ]
},
{
"cell_type": "markdown",
@@ -1646,8 +1640,7 @@
"source": [
"def get_latest_predictions(gcs_out_dir):\n",
" \"\"\" Get the latest prediction subfolder using the timestamp in the subfolder name\"\"\"\n",
" folders = !gsutil ls $gcs_out_dir\n",
" latest = \"\"\n",
" folders = !gcloud storage ls $gcs_out_dir\n", " latest = \"\"\n",
" for folder in folders:\n",
" subfolder = folder.split(\"/\")[-2]\n",
" if subfolder.startswith(\"prediction-\"):\n",
@@ -1664,10 +1657,8 @@
" raise Exception(\"Batch Job Failed\")\n",
" else:\n",
" folder = get_latest_predictions(predictions)\n",
" ! gsutil ls $folder/prediction*.csv\n",
"\n",
" ! gsutil cat $folder/prediction*.csv\n",
" break\n",
" ! gcloud storage ls $folder/prediction*.csv\n", "\n",
" ! gcloud storage cat $folder/prediction*.csv\n", " break\n",
" time.sleep(60)"
]
},
@@ -1761,8 +1752,7 @@
" print(e)\n",
"\n",
"if delete_bucket and \"BUCKET_NAME\" in globals():\n",
" ! gsutil rm -r $BUCKET_NAME"
]
" ! gcloud storage rm --recursive $BUCKET_NAME" ]
}
],
"metadata": {
notebooks/community/gapic/automl/showcase_automl_tabular_classification_batch_explain.ipynb
+10 -20
View File
@@ -421,8 +421,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION $BUCKET_NAME"
]
"! gcloud storage buckets create --location $REGION $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -441,8 +440,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_NAME"
]
"! gcloud storage ls --all-versions --long $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -810,14 +808,11 @@
},
"outputs": [],
"source": [
"count = ! gsutil cat $IMPORT_FILE | wc -l\n",
"print(\"Number of Examples\", int(count[0]))\n",
"count = ! gcloud storage cat $IMPORT_FILE | wc -l\n", "print(\"Number of Examples\", int(count[0]))\n",
"\n",
"print(\"First 10 rows\")\n",
"! gsutil cat $IMPORT_FILE | head\n",
"\n",
"heading = ! gsutil cat $IMPORT_FILE | head -n1\n",
"label_column = str(heading).split(\",\")[-1].split(\"'\")[0]\n",
"! gcloud storage cat $IMPORT_FILE | head\n", "\n",
"heading = ! gcloud storage cat $IMPORT_FILE | head -n1\n", "label_column = str(heading).split(\",\")[-1].split(\"'\")[0]\n",
"print(\"Label Column Name\", label_column)\n",
"if label_column is None:\n",
" raise Exception(\"label column missing\")"
@@ -1363,8 +1358,7 @@
" f.write(str(INSTANCE_2) + \"\\n\")\n",
"\n",
"print(gcs_input_uri)\n",
"! gsutil cat $gcs_input_uri"
]
"! gcloud storage cat $gcs_input_uri" ]
},
{
"cell_type": "markdown",
@@ -1631,8 +1625,7 @@
"source": [
"def get_latest_predictions(gcs_out_dir):\n",
" \"\"\" Get the latest prediction subfolder using the timestamp in the subfolder name\"\"\"\n",
" folders = !gsutil ls $gcs_out_dir\n",
" latest = \"\"\n",
" folders = !gcloud storage ls $gcs_out_dir\n", " latest = \"\"\n",
" for folder in folders:\n",
" subfolder = folder.split(\"/\")[-2]\n",
" if subfolder.startswith(\"prediction-\"):\n",
@@ -1649,10 +1642,8 @@
" raise Exception(\"Batch Job Failed\")\n",
" else:\n",
" folder = get_latest_predictions(predictions)\n",
" ! gsutil ls $folder/explanation*.csv\n",
"\n",
" ! gsutil cat $folder/explanation*.csv\n",
" break\n",
" ! gcloud storage ls $folder/explanation*.csv\n", "\n",
" ! gcloud storage cat $folder/explanation*.csv\n", " break\n",
" time.sleep(60)"
]
},
@@ -1746,8 +1737,7 @@
" print(e)\n",
"\n",
"if delete_bucket and \"BUCKET_NAME\" in globals():\n",
" ! gsutil rm -r $BUCKET_NAME"
]
" ! gcloud storage rm --recursive $BUCKET_NAME" ]
}
],
"metadata": {
notebooks/community/gapic/automl/showcase_automl_video_action_recognition_batch.ipynb
+10 -20
View File
@@ -420,8 +420,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION $BUCKET_NAME"
]
"! gcloud storage buckets create --location=$REGION $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -440,8 +439,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_NAME"
]
"! gcloud storage ls --all-versions --long $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -888,12 +886,10 @@
"else:\n",
" FILE = IMPORT_FILE\n",
"\n",
"count = ! gsutil cat $FILE | wc -l\n",
"print(\"Number of Examples\", int(count[0]))\n",
"count = ! gcloud storage cat $FILE | wc -l\n", "print(\"Number of Examples\", int(count[0]))\n",
"\n",
"print(\"First 10 rows\")\n",
"! gsutil cat $FILE | head"
]
"! gcloud storage cat $FILE | head" ]
},
{
"cell_type": "markdown",
@@ -1310,8 +1306,7 @@
"import json\n",
"\n",
"import_file = IMPORT_FILES[0]\n",
"test_items = ! gsutil cat $import_file | head -n2\n",
"\n",
"test_items = ! gcloud storage cat $import_file | head -n2\n", "\n",
"cols = str(test_items[0]).split(',')\n",
"test_item_1 = str(cols[0])\n",
"test_label_1 = str(cols[-1])\n",
@@ -1360,8 +1355,7 @@
" f.write(json.dumps(data) + '\\n')\n",
"\n",
"print(gcs_input_uri)\n",
"! gsutil cat $gcs_input_uri"
]
"! gcloud storage cat $gcs_input_uri" ]
},
{
"cell_type": "markdown",
@@ -1637,8 +1631,7 @@
"source": [
"def get_latest_predictions(gcs_out_dir):\n",
" ''' Get the latest prediction subfolder using the timestamp in the subfolder name'''\n",
" folders = !gsutil ls $gcs_out_dir\n",
" latest = \"\"\n",
" folders = !gcloud storage ls $gcs_out_dir\n", " latest = \"\"\n",
" for folder in folders:\n",
" subfolder = folder.split('/')[-2]\n",
" if subfolder.startswith('prediction-'):\n",
@@ -1655,10 +1648,8 @@
" raise Exception(\"Batch Job Failed\")\n",
" else:\n",
" folder = get_latest_predictions(predictions)\n",
" ! gsutil ls $folder/prediction*.jsonl\n",
"\n",
" ! gsutil cat $folder/prediction*.jsonl\n",
" break\n",
" ! gcloud storage ls $folder/prediction*.jsonl\n", "\n",
" ! gcloud storage cat $folder/prediction*.jsonl\n", " break\n",
" time.sleep(60)"
]
},
@@ -1752,8 +1743,7 @@
" print(e)\n",
"\n",
"if delete_bucket and 'BUCKET_NAME' in globals():\n",
" ! gsutil rm -r $BUCKET_NAME"
]
" ! gcloud storage rm --recursive $BUCKET_NAME" ]
}
],
"metadata": {
notebooks/community/gapic/automl/showcase_automl_video_classification_batch.ipynb
+10 -20
View File
@@ -420,8 +420,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION $BUCKET_NAME"
]
"! gcloud storage buckets create --location $REGION $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -440,8 +439,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_NAME"
]
"! gcloud storage ls --all-versions --long $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -885,12 +883,10 @@
"else:\n",
" FILE = IMPORT_FILE\n",
"\n",
"count = ! gsutil cat $FILE | wc -l\n",
"print(\"Number of Examples\", int(count[0]))\n",
"count = ! gcloud storage cat $FILE | wc -l\n", "print(\"Number of Examples\", int(count[0]))\n",
"\n",
"print(\"First 10 rows\")\n",
"! gsutil cat $FILE | head"
]
"! gcloud storage cat $FILE | head" ]
},
{
"cell_type": "markdown",
@@ -1301,8 +1297,7 @@
},
"outputs": [],
"source": [
"test_items = ! gsutil cat $IMPORT_FILE | head -n2\n",
"\n",
"test_items = ! gcloud storage cat $IMPORT_FILE | head -n2\n", "\n",
"if len(test_items[0]) == 5:\n",
" _, test_item_1, test_label_1, _, _ = str(test_items[0]).split(',')\n",
" _, test_item_2, test_label_2, _, _ = str(test_items[1]).split(',')\n",
@@ -1351,8 +1346,7 @@
" f.write(json.dumps(data) + '\\n')\n",
"\n",
"print(gcs_input_uri)\n",
"! gsutil cat $gcs_input_uri"
]
"! gcloud storage cat $gcs_input_uri" ]
},
{
"cell_type": "markdown",
@@ -1630,8 +1624,7 @@
"source": [
"def get_latest_predictions(gcs_out_dir):\n",
" ''' Get the latest prediction subfolder using the timestamp in the subfolder name'''\n",
" folders = !gsutil ls $gcs_out_dir\n",
" latest = \"\"\n",
" folders = !gcloud storage ls $gcs_out_dir\n", " latest = \"\"\n",
" for folder in folders:\n",
" subfolder = folder.split('/')[-2]\n",
" if subfolder.startswith('prediction-'):\n",
@@ -1648,10 +1641,8 @@
" raise Exception(\"Batch Job Failed\")\n",
" else:\n",
" folder = get_latest_predictions(predictions)\n",
" ! gsutil ls $folder/prediction*.jsonl\n",
"\n",
" ! gsutil cat $folder/prediction*.jsonl\n",
" break\n",
" ! gcloud storage ls $folder/prediction*.jsonl\n", "\n",
"! gcloud storage cat $folder/prediction*.jsonl\n", " break\n",
" time.sleep(60)"
]
},
@@ -1745,8 +1736,7 @@
" print(e)\n",
"\n",
"if delete_bucket and 'BUCKET_NAME' in globals():\n",
" ! gsutil rm -r $BUCKET_NAME"
]
" ! gcloud storage rm --recursive $BUCKET_NAME" ]
}
],
"metadata": {
notebooks/community/gapic/automl/showcase_automl_video_object_tracking_batch.ipynb
+10 -20
View File
@@ -420,8 +420,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION $BUCKET_NAME"
]
"! gcloud storage buckets create --location $REGION $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -440,8 +439,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_NAME"
]
"! gcloud storage ls --all-versions --long $BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -890,12 +888,10 @@
"else:\n",
" FILE = IMPORT_FILE\n",
"\n",
"count = ! gsutil cat $FILE | wc -l\n",
"print(\"Number of Examples\", int(count[0]))\n",
"count = ! gcloud storage cat $FILE | wc -l\n", "print(\"Number of Examples\", int(count[0]))\n",
"\n",
"print(\"First 10 rows\")\n",
"! gsutil cat $FILE | head"
]
"! gcloud storage cat $FILE | head" ]
},
{
"cell_type": "markdown",
@@ -1309,8 +1305,7 @@
},
"outputs": [],
"source": [
"test_items = ! gsutil cat $IMPORT_FILE | head -n2\n",
"\n",
"test_items = ! gcloud storage cat $IMPORT_FILE | head -n2\n", "\n",
"cols_1 = test_items[0].split(',')\n",
"cols_2 = test_items[1].split(',')\n",
"if len(cols_1) > 12:\n",
@@ -1365,8 +1360,7 @@
" f.write(json.dumps(data) + '\\n')\n",
"\n",
"print(gcs_input_uri)\n",
"! gsutil cat $gcs_input_uri"
]
"! gcloud storage cat $gcs_input_uri" ]
},
{
"cell_type": "markdown",
@@ -1638,8 +1632,7 @@
"source": [
"def get_latest_predictions(gcs_out_dir):\n",
" ''' Get the latest prediction subfolder using the timestamp in the subfolder name'''\n",
" folders = !gsutil ls $gcs_out_dir\n",
" latest = \"\"\n",
" folders = !gcloud storage ls $gcs_out_dir\n", " latest = \"\"\n",
" for folder in folders:\n",
" subfolder = folder.split('/')[-2]\n",
" if subfolder.startswith('prediction-'):\n",
@@ -1656,10 +1649,8 @@
" raise Exception(\"Batch Job Failed\")\n",
" else:\n",
" folder = get_latest_predictions(predictions)\n",
" ! gsutil ls $folder/prediction*.jsonl\n",
"\n",
" ! gsutil cat $folder/prediction*.jsonl\n",
" break\n",
" ! gcloud storage ls $folder/prediction*.jsonl\n", "\n",
" ! gcloud storage cat $folder/prediction*.jsonl\n", " break\n",
" time.sleep(60)"
]
},
@@ -1753,8 +1744,7 @@
" print(e)\n",
"\n",
"if delete_bucket and 'BUCKET_NAME' in globals():\n",
" ! gsutil rm -r $BUCKET_NAME"
]
" ! gcloud storage rm --recursive $BUCKET_NAME" ]
}
],
"metadata": {
notebooks/community/migration/UJ2,12 legacy Custom Training Prebuilt Container TF Keras.ipynb
+7 -14
View File
@@ -308,8 +308,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION gs://$BUCKET_NAME"
]
"! gcloud storage buckets create --location=$REGION gs://$BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -328,8 +327,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al gs://$BUCKET_NAME"
]
"! gcloud storage ls --all-versions --long gs://$BUCKET_NAME" ]
},
{
"cell_type": "markdown",
@@ -586,8 +584,7 @@
"! rm -f cifar.tar cifar.tar.gz\n",
"! tar cvf cifar.tar cifar\n",
"! gzip cifar.tar\n",
"! gsutil cp cifar.tar.gz gs://$BUCKET_NAME/trainer_cifar.tar.gz"
]
"! gcloud storage cp cifar.tar.gz gs://$BUCKET_NAME/trainer_cifar.tar.gz" ]
},
{
"cell_type": "markdown",
@@ -1071,8 +1068,7 @@
" b64str = base64.b64encode(bytes.numpy()).decode(\"utf-8\")\n",
" f.write(json.dumps({\"key\": img, input_name: {\"b64\": b64str}}) + \"\\n\")\n",
"\n",
"! gsutil cat $gcs_input_uri"
]
"! gcloud storage cat $gcs_input_uri" ]
},
{
"cell_type": "markdown",
@@ -1361,10 +1357,8 @@
" break\n",
" else:\n",
" folder = response[\"predictionInput\"][\"outputPath\"][:-1]\n",
" ! gsutil ls $folder/prediction*\n",
"\n",
" ! gsutil cat $folder/prediction*\n",
" break\n",
" ! gcloud storage ls $folder/prediction*\n", "\n",
" ! gcloud storage cat $folder/prediction*\n", " break\n",
" time.sleep(60)"
]
},
@@ -2046,8 +2040,7 @@
" print(e)\n",
"\n",
"if delete_bucket and \"BUCKET_NAME\" in globals():\n",
" ! gsutil rm -r gs://$BUCKET_NAME"
]
" ! gcloud storage rm --recursive gs://$BUCKET_NAME" ]
}
],
"metadata": {
notebooks/community/ml_ops/stage7/get_started_with_model_monitoring_custom_tf_serving.ipynb
+5 -10
View File
@@ -561,8 +561,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION $BUCKET_URI"
]
"! gcloud storage buckets create --location=$REGION $BUCKET_URI" ]
},
{
"cell_type": "markdown",
@@ -581,8 +580,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_URI"
]
"! gcloud storage ls --all-versions --long $BUCKET_URI" ]
},
{
"cell_type": "markdown",
@@ -976,8 +974,7 @@
"MODEL_ARTIFACT_URI = \"gs://mco-mm/churn\"\n",
"MODEL_DIR = BUCKET_URI + \"/model/1\"\n",
"\n",
"! gsutil cp -r $MODEL_ARTIFACT_URI $MODEL_DIR"
]
"! gcloud storage cp --recursive $MODEL_ARTIFACT_URI $MODEL_DIR" ]
},
{
"cell_type": "markdown",
@@ -1361,8 +1358,7 @@
"with open(\"schema.yaml\", \"w\") as f:\n",
" f.write(yaml)\n",
"\n",
"! gsutil cp schema.yaml {BUCKET_URI}/schema.yaml"
]
"! gcloud storage cp schema.yaml {BUCKET_URI}/schema.yaml" ]
},
{
"cell_type": "markdown",
@@ -1849,8 +1845,7 @@
"delete_bucket = False\n",
"\n",
"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
" ! gsutil rm -rf {BUCKET_URI}\n",
"\n",
" ! gcloud storage rm --recursive --continue-on-error {BUCKET_URI}\n", "\n",
"! rm -f schema.yaml\n",
"\n",
"! bq rm -f {PROJECT_ID}.model_deployment_monitoring_{ENDPOINT_ID}"
notebooks/community/vertex_endpoints/optimized_tensorflow_runtime/bert_optimized_online_prediction.ipynb
+5 -10
View File
@@ -493,8 +493,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l $REGION -p $PROJECT_ID $BUCKET_URI"
]
"! gcloud storage buckets create --location=$REGION --project=$PROJECT_ID $BUCKET_URI" ]
},
{
"cell_type": "markdown",
@@ -513,8 +512,7 @@
},
"outputs": [],
"source": [
"! gsutil ls -al $BUCKET_URI"
]
"! gcloud storage ls --all-versions --long $BUCKET_URI" ]
},
{
"cell_type": "markdown",
@@ -1148,8 +1146,7 @@
},
"outputs": [],
"source": [
"!gsutil rm -r $BUCKET_URI/*"
]
"!gcloud storage rm --recursive $BUCKET_URI/*" ]
},
{
"cell_type": "code",
@@ -1159,8 +1156,7 @@
},
"outputs": [],
"source": [
"!gsutil cp -r $LOCAL_DIRECTORY_FULL/* $BUCKET_URI"
]
"!gcloud storage cp --recursive $LOCAL_DIRECTORY_FULL/* $BUCKET_URI" ]
},
{
"cell_type": "markdown",
@@ -2104,8 +2100,7 @@
"# Set this to true only if you'd like to delete your bucket\n",
"delete_bucket = False\n",
"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
" !gsutil rm -r $BUCKET_URI"
]
" !gcloud storage rm --recursive $BUCKET_URI" ]
}
],
"metadata": {
notebooks/official/training/sdk_pytorch_torchrun_custom_container_training_imagenet.ipynb
+4 -8
View File
@@ -280,8 +280,7 @@
},
"outputs": [],
"source": [
"! gsutil mb -l {LOCATION} -p {PROJECT_ID} {BUCKET_URI}"
]
"! gcloud storage buckets create --location={LOCATION} --project={PROJECT_ID} {BUCKET_URI}" ]
},
{
"cell_type": "markdown",
@@ -690,14 +689,12 @@
" HOST_IP=$(hostname -i)\n",
" echo \"HOST_IP=\"$HOST_IP\n",
" echo \"Writing host IP address to \"$gcsfilepath\n",
" echo $HOST_IP| gsutil cp - $gcsfilepath\n",
" setup_etcd $HOST_IP\n",
" echo $HOST_IP| gcloud storage cp - $gcsfilepath\n", " setup_etcd $HOST_IP\n",
"else\n",
" echo \"Wait 60s for the host server to come online\"\n",
" sleep 60\n",
" echo \"reading host IP address from \"$gcsfilepath\n",
" HOST_IP=$(gsutil cat $gcsfilepath)\n",
" echo \"HOST_IP=\"$HOST_IP\n",
" HOST_IP=$(gcloud storage cat $gcsfilepath)\n", " echo \"HOST_IP=\"$HOST_IP\n",
"fi\n",
"\n",
"env=\"env://\"\n",
@@ -1812,8 +1809,7 @@
"# Delete Cloud Storage objects that were created\n",
"delete_bucket = False\n",
"if delete_bucket:\n",
" ! gsutil -m rm -r $BUCKET_URI"
]
" ! gcloud storage rm --recursive $BUCKET_URI" ]
}
],
"metadata": {