Run Python Code with Python API on New or Updated Row (Instant) from SeaTable API

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Trigger workflow on

New or Updated Row (Instant) from the SeaTable API

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Run Python Code with the Python API

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Getting Started#

This integration creates a workflow with a SeaTable trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New or Updated Row (Instant) trigger
1. Connect your SeaTable account
Configure the Run Python Code action
1. Connect your Python account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New or Updated Row (Instant) on SeaTable

Description:Emit new event when a row is added or updated in a table.

Version:0.0.1

Key:seatable-new-or-updated-row

View on GitHub

SeaTable Overview#

The SeaTable API allows you to interact programmatically with SeaTable databases. With it, you can create, update, and delete records, rows, and columns, manipulate tables, and manage users. In Pipedream, you can harness this API to automate data flows between SeaTable and other apps, trigger workflows based on changes in your SeaTable bases, and manipulate data without manual intervention. Think of it as connecting your spreadsheets' data to the wider web.

Trigger Code#

import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "seatable-new-or-updated-row",
  name: "New or Updated Row (Instant)",
  description: "Emit new event when a row is added or updated in a table.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    isRelevant(event) {
      return event.data.op_type === "insert_row" || event.data.op_type === "modify_row";
    },
    generateMeta(event) {
      const ts = Date.now();
      const id = event.data.row_id;
      return {
        id: `${id}-${ts}`,
        summary: `New or Updated Row with ID ${id}`,
        ts,
      };
    },
  },
  sampleEmit,
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
SeaTable	`seatable`	`app`	This component uses the SeaTable app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

SeaTable uses OAuth authentication. When you connect your SeaTable account, Pipedream will open a popup window where you can sign into SeaTable and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any SeaTable API.

Pipedream requests the following authorization scopes when you connect your account:

About SeaTable#

With SeaTable, teams can easily organize all their tasks, assets, projects and ideas. It looks like a spreadsheet but structures any type of information, in the cloud or on your own server.

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

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:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};