Insert Multiple Rows with Snowflake API on New Booking with State from Timekit API

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New Booking with State from the Timekit API

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Insert Multiple Rows with the Snowflake API

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Getting Started#

This integration creates a workflow with a Timekit 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 Booking with State trigger
1. Connect your Timekit account
2. Select a Graph Type
3. Select a Booking State
4. Optional- Configure Secret
Configure the Insert Multiple Rows action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
5. Select one or more Columns
6. Configure Row Values
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 Booking with State on Timekit

Description:Emit new event when a booking has a specific state. [See the docs](https://developers.timekit.io/reference/graphs).

Version:0.0.1

Key:timekit-booking-with-state

View on GitHub

Timekit Overview#

Timekit is a flexible booking and resource management API that enables developers to create and manage appointments and calendars. With Timekit, you can automate the scheduling process, sync calendars, manage bookings, and craft customized booking experiences. Using Pipedream, you can leverage Timekit to create efficient workflows that automate scheduling-related tasks, trigger actions based on calendar events, and integrate with various other services for a seamless operational ecosystem.

Trigger Code#

import timekit from "../../timekit.app.mjs";
import crypto from "crypto";

const docLink = "https://developers.timekit.io/reference/graphs";

export default {
  key: "timekit-booking-with-state",
  name: "New Booking with State",
  description: `Emit new event when a booking has a specific state. [See the docs](${docLink}).`,
  version: "0.0.1",
  type: "source",
  props: {
    timekit,
    db: "$.service.db",
    http: "$.interface.http",
    graph: {
      propDefinition: [
        timekit,
        "graph",
      ],
    },
    state: {
      propDefinition: [
        timekit,
        "state",
        (c) => ({
          graph: c.graph,
        }),
      ],
    },
    secret: {
      type: "string",
      label: "Secret",
      description: "Configured secret to verify webhook events. If left blank, no verification will be done. Navigate to API Settings > Keys and look for the last card on the page. The secret shown there is the key you'll use",
      secret: true,
      optional: true,
    },
  },
  hooks: {
    async activate() {
      console.log("Creating webhook...");
      const response = await this.timekit.createWebhook({
        data: {
          url: this.http.endpoint,
          graph: this.graph,
          state: this.state,
          method: "post",
        },
      });
      const id = response.meta.message.split("id ")[1];
      this._setWebhookId(id);
    },
    async deactivate() {
      const id = this._getWebhookId();
      await this.timekit.deleteWebhook({
        id,
      });
      console.log(`Webhook ${id} was deleted successfully`);
    },
  },
  methods: {
    _getWebhookId() {
      return this.db.get("webhookId");
    },
    _setWebhookId(id) {
      this.db.set("webhookId", id);
    },
    verifySecret(payload, header) {
      if (this.secret) {
        const hash = crypto
          .createHmac("sha256", this.secret)
          .update(payload)
          .digest("hex");
        return hash === header;
      }
      return true;
    },
  },
  async run(event) {
    if (!this.verifySecret(event.bodyRaw, event.headers["x-timekit-signature"])) {
      console.log("Secret verification has failed for the incoming event. Skipping...");
      return;
    }

    const {
      id,
      description,
      updated_at: ts,
    } = event.body;

    this.$emit(event.body, {
      id,
      summary: `New ${this.graph} booking ${this.state}: ${description}`,
      ts,
    });
  },
};

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
Timekit	`timekit`	`app`	This component uses the Timekit 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.
Graph Type	`graph`	`string`	Select a value from the drop down menu:`instantinstant_paymentconfirm_declinegroup_ownergroup_customergroup_customer_paymentreservation`
Booking State	`state`	`string`	Select a value from the drop down menu.
Secret	`secret`	`string`	Configured secret to verify webhook events. If left blank, no verification will be done. Navigate to API Settings > Keys and look for the last card on the page. The secret shown there is the key you'll use

Trigger Authentication#

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

You can find your app's API key in the Admin Dashboard under "API settings".

About Timekit#

Timekit lets you build scalable and flexible booking experiences and scheduling flows that grow your business.

Action#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.1.2

Key:snowflake-insert-multiple-rows

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";
import { ConfigurationError } from "@pipedream/platform";

export default {
  type: "action",
  key: "snowflake-insert-multiple-rows",
  name: "Insert Multiple Rows",
  description: "Insert multiple rows into a table",
  version: "0.1.2",
  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 rows",
    },
    columns: {
      propDefinition: [
        snowflake,
        "columns",
        (c) => ({
          tableName: c.tableName,
        }),
      ],
    },
    values: {
      propDefinition: [
        snowflake,
        "values",
      ],
    },
  },
  async run({ $ }) {
    let rows = this.values;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(rows);
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row) => { if (!Array.isArray(row)) { inputValidated = false; } });
    }

    // Throw an error if input validation failed
    if (!inputValidated) {
      throw new ConfigurationError("The row data you passed is not an array of arrays. Please enter an array of arrays in the `Values` parameter above. If you're trying to add a single row to Snowflake, select the **Insert Single Row** action.");
    }

    const response = await this.snowflake.insertRows(this.tableName, this.columns, this.values);
    $.export("$summary", `Successfully inserted ${this.values.length} rows 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.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Values	`values`	`string`	Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a value (e.g., passing `[["Foo",1,2],["Bar",3,4]]` will insert two rows of data with three columns each). The most common pattern is to reference an array of arrays exported by a previous step (e.g., `{{steps.foo.$return_value}}`). You may also enter or construct a string that will `JSON.parse()` to an array of arrays.