Integrate the KanbanFlow API with the DigitalOcean Spaces API

Setup the KanbanFlow API trigger to run a workflow which integrates with the DigitalOcean Spaces API. Pipedream's integration platform allows you to integrate KanbanFlow and DigitalOcean Spaces remarkably fast. Free for developers.

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Popular Ways to Connect KanbanFlow with DigitalOcean Spaces#

List Files with DigitalOcean Spaces API on Task Created from KanbanFlow API

KanbanFlow + DigitalOcean Spaces

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Create Task with KanbanFlow API on File Deleted from DigitalOcean Spaces API

DigitalOcean Spaces + KanbanFlow

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Create Task with KanbanFlow API on New File Uploaded from DigitalOcean Spaces API

DigitalOcean Spaces + KanbanFlow

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Delete Files with DigitalOcean Spaces API on Task Created from KanbanFlow API

KanbanFlow + DigitalOcean Spaces

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Delete Files with DigitalOcean Spaces API on Task Moved from KanbanFlow API

KanbanFlow + DigitalOcean Spaces

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Popular KanbanFlow and DigitalOcean Spaces Triggers#

Task Created from the KanbanFlow API

Emit new event when a new task is created

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File Deleted from the DigitalOcean Spaces API

Emit new event when a file is deleted from a DigitalOcean Spaces bucket

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Task Moved from the KanbanFlow API

Emit new event when a task is moved

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New File Uploaded from the DigitalOcean Spaces API

Emit new event when a file is uploaded to a DigitalOcean Spaces bucket

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Popular KanbanFlow and DigitalOcean Spaces Actions#

Create Task with the KanbanFlow API

Create a task (docs available on board settings)

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Delete Files with the DigitalOcean Spaces API

Delete files in a bucket. See the docs.

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List Files with the DigitalOcean Spaces API

List files in a bucket. See the docs.

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Upload File /tmp with the DigitalOcean Spaces API

Accepts a file path starting from /tmp, then uploads as a file to DigitalOcean Spaces. See the docs.

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Upload File Base64 with the DigitalOcean Spaces API

Accepts a base64-encoded string and a filename, then uploads as a file to DigitalOcean Spaces. See the docs.

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Overview of KanbanFlow#

The KanbanFlow API unlocks the potential for creating customized, automated workflows to enhance productivity and streamline task management. By tapping into this API via Pipedream, developers can craft serverless functions that interact with KanbanFlow boards, tasks, users, and time tracking features. These automations can range from syncing tasks across platforms to triggering notifications based on task updates.

Connect KanbanFlow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kanbanflow: {
      type: "app",
      app: "kanbanflow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://kanbanflow.com/api/v1/users`,
      params: {
        apiToken: `${this.kanbanflow.$auth.api_token}`,
      },
    })
  },
})

Overview of DigitalOcean Spaces#

DigitalOcean Spaces API permits you to manage object storage, allowing for the storage and serving of massive amounts of data. This API is great for backing up, archiving, and providing public access to data or assets. On Pipedream, you can use this API to automate file operations like uploads, downloads, and deletions, as well as manage permissions and metadata. You can integrate it with other services for end-to-end workflow automation.

Connect DigitalOcean Spaces#

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;
  },
})

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