Highly scalable and affordable object storage.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Accepts a file path starting from /tmp, then uploads as a file to DigitalOcean Spaces. See the docs.
Accepts a base64-encoded string and a filename, then uploads as a file to DigitalOcean Spaces. See the docs.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
digitalocean_spaces: {
type: "app",
app: "digitalocean_spaces"
}
},
async run({ steps, $ }) {
console.log(this.digitalocean_spaces.$auth)
const s3Client = new S3({
forcePathStyle: false, // Configures to use subdomain/virtual calling format.
endpoint: `https://${this.digitalocean_spaces.$auth.region}.digitaloceanspaces.com`,
region: "us-east-1",
credentials: {
accessKeyId: this.digitalocean_spaces.$auth.key,
secretAccessKey: this.digitalocean_spaces.$auth.secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}