← Snowflake + TidyCal integrations

Account Information with TidyCal API on New Query Results from Snowflake API

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New Query Results from the Snowflake API
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Account Information with the TidyCal API
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Getting Started

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

  1. Select this integration
  2. Configure the New Query Results trigger
    1. Connect your Snowflake account
    2. Configure timer
    3. Configure SQL Query
    4. Optional- Configure Primary key
    5. Optional- Configure Emit individual events
  3. Configure the Account Information action
    1. Connect your TidyCal account
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Run a SQL query on a schedule, triggering a workflow for each row of results
Version:0.2.2
Key:snowflake-query-results

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.

Trigger Code

import common from "../common.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.2.2",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    // Ordering props correctly
    timer: common.props.timer,
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

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.
LabelPropTypeDescription
SnowflakesnowflakeappThis component uses the Snowflake app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Watch for changes on this schedule

SQL QuerysqlQuerystring

Run this query on a schedule, triggering the workflow for each row of results

Primary keydedupeKeystring

The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow

Emit individual eventsemitIndividualEventsboolean

Defaults to true, triggering workflows on each record in the result set. Set to false to emit records in batch (advanced)

Trigger Authentication

Snowflake uses API keys for authentication. When you connect your Snowflake account, Pipedream securely stores the keys so you can easily authenticate to Snowflake APIs in both code and no-code steps.

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.

About Snowflake

A data warehouse built for the cloud

Action

Description:Get account details. [See the documentation](https://tidycal.com/developer/docs/#tag/Account/operation/get-account)
Version:0.0.1
Key:tidycal-account-information

TidyCal Overview

The TidyCal API allows for scheduling automation, linking your calendar to create and manage bookings. In Pipedream, you can harness this API to create event-driven workflows, such as syncing with other calendar services, triggering reminders, or connecting with CRM systems to streamline your scheduling process. Pipedream's serverless platform enables you to build and run these workflows efficiently, without the need to manage infrastructure.

Action Code

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

export default {
  key: "tidycal-account-information",
  name: "Account Information",
  description: "Get account details. [See the documentation](https://tidycal.com/developer/docs/#tag/Account/operation/get-account)",
  type: "action",
  version: "0.0.1",
  props: {
    app,
  },
  methods: {
    getAccountInformation(args = {}) {
      return this.app.makeRequest({
        path: "/me",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const response = await this.getAccountInformation();

    step.export("$summary", `Successfully retrieved account information for ${response.email}.`);

    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.

LabelPropTypeDescription
TidyCalappappThis component uses the TidyCal app.

Action Authentication

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

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

About TidyCal

World's simplest, most affordable scheduling tool (alternative to Calendly).

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