Integrate the Pixelbin API with the Python API

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

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Popular Pixelbin and Python Actions#

Create Folder with the Pixelbin API

Creates a new folder in Pixelbin. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Delete File with the Pixelbin API

Deletes a file from Pixelbin. See the documentation

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List Files with the Pixelbin API

List all files. See the documentation

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Upload Asset From URL with the Pixelbin API

Uploads an asset to Pixelbin from a given URL. See the documentation

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Connect Pixelbin#

import { PixelbinConfig, PixelbinClient } from "@pixelbin/admin";

export default defineComponent({
  props: {
    pixelbin: {
      type: "app",
      app: "pixelbin",
    }
  },
  async run({steps, $}) {

    // Creates a Pixelbin config using the API Token
    const config = new PixelbinConfig({
        domain: "https://api.pixelbin.io",
        apiSecret: this.pixelbin.$auth.api_token,
        integrationPlatform: "@PipedreamHQ/pipedream v0.1",
    });

    const pixelbin = new PixelbinClient(config);

    const getData = async function() {
      try {
          // list the assets stored on your organization's Pixelbin Storage
          const explorer = pixelbin.assets.listFilesPaginator({
              onlyFiles: true,
              pageSize: 5,
          });
          if (explorer.hasNext()) {
              return await explorer.next();
          }
      } catch (err) {
          console.log(err);
      }
    };

    //Returns list of assets to use in the Pipedream workflow's downstream steps
    return await getData();
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

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}}

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