Google Cloud Storage¶
Getting Started¶
To use Google Cloud Storage as a data source, you will need to install the google-cloud-storage Python package. You can install this package using pip:
Authentication¶
Application Default Credentials (Recommended)¶
The easiest way to authenticate with Google Cloud Storage is to use Application Default Credentials. If you are running marimo on Google Cloud and your resource has a service account attached, then Application Default Credentials will automatically be used. If you are running marimo locally, you can authenticate with Application Default Credentials by running the following command:
Service Account Key File¶
To authenticate with Google Cloud Storage, you will need to create a service account and download the service account key file. You can create a service account and download the key file by following the instructions here.
Once you have downloaded the key file, you can authenticate with Google Cloud Storage by setting the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of the key file:
Reading Data¶
To read data from Google Cloud Storage, you will need to create a StorageClient object. You can then use this object to read data from Google Cloud Storage.
# Cell 1 - Load libraries
import marimo as mo
from google.cloud import storage
# Cell 2 - Load buckets
client = storage.Client()
buckets = client.list_buckets()
# Cell 3 - Select bucket
selected_bucket = mo.ui.dropdown(
label="Select bucket", options=[b.name for b in buckets]
)
selected_bucket
# Cell 4 - Load files
files = list(bucket.list_blobs())
items = [
{
"Name": f.name,
"Updated": f.updated.strftime("%h %d, %Y"),
"Size": f.size,
}
for f in files
]
file_table = mo.ui.table(items, selection="single")
file_table if items else mo.md("No files found").callout()
Example¶
Check out our full example using Google Cloud Storage here
Or run it yourself: