Insert Single Row with Snowflake API on New Completed Task from Todoist API

Pipedream makes it easy to connect APIs for Snowflake, Todoist and 2,400+ other apps remarkably fast.

Trigger workflow on

New Completed Task from the Todoist API

Next, do this

Insert Single Row with the Snowflake API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

Getting Started#

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

Select this integration
Configure the New Completed Task trigger
1. Connect your Todoist account
2. Configure Polling Interval
3. Optional- Select one or more Select Projects
Configure the Insert Single Row action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
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 Completed Task on Todoist

Description:Emit new event for each completed task. [See the docs here](https://developer.todoist.com/sync/v8/#read-resources)

Version:0.0.6

Key:todoist-completed-task

View on GitHub

Todoist Overview#

The Todoist API unlocks the potential to automate task management with precision. With Pipedream, you can craft workflows that react to events in Todoist, like task completions or due date changes, or drive actions in Todoist, such as creating tasks or updating projects. By integrating Todoist with Pipedream, you can seamlessly connect your to-do list with other apps to streamline your productivity, manage tasks based on triggers from other services, or compile reports on your task management patterns.

Trigger Code#

import common from "../common-task.mjs";

export default {
  ...common,
  key: "todoist-completed-task",
  name: "New Completed Task",
  description: "Emit new event for each completed task. [See the docs here](https://developer.todoist.com/sync/v8/#read-resources)",
  version: "0.0.6",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    isElementRelevant(element) {
      return element.checked;
    },
  },
};

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
Todoist	`todoist`	`app`	This component uses the Todoist app.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the Todoist API on this schedule
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Select Projects	`selectProjects`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

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

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

task:adddata:read_writedata:deleteproject:delete

About Todoist#

Todoist is a delightfully simple yet powerful task planner and to-do list app.

Action#

Insert Single Row on Snowflake

Description:Insert a row into a table

Version:1.1.2

Key:snowflake-insert-row

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Action Code#

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

export default {
  type: "action",
  key: "snowflake-insert-row",
  name: "Insert Single Row",
  description: "Insert a row into a table",
  version: "1.1.2",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add a new row",
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    // Once a user selects the table, display the columns as additional props
    if (this.tableName) {
      const fields = await this.snowflake.listFieldsForTable(this.tableName);
      const defaultValue = {};
      for (const field of fields) {
        defaultValue[field.name] = "";
      }
      props["values"] = {
        type: "object",
        label: "Values",
        description: "Enter the values for each column",
        default: defaultValue,
      };
    }
    return props;
  },
  async run({ $ }) {
    const response = await this.snowflake.insertRow(this.tableName, this.values);
    $.export("$summary", `Successfully inserted row in ${this.tableName}`);
    return response;
  },
};

Action Configuration#

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

Label	Prop	Type	Description
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.