Add or update multiple records with Data Stores API on Appointment Cancelled from TidyCal API

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Appointment Cancelled from the TidyCal API

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Add or update multiple records with the Data Stores API

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Getting Started#

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

Select this integration
Configure the Appointment Cancelled trigger
1. Connect your TidyCal account
2. Configure Polling schedule
Configure the Add or update multiple records action
1. Connect your Data Stores account
2. Configure Data Store
3. Configure Data
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#

Appointment Cancelled on TidyCal

Description:Triggered when an existing appointment is cancelled by a client or by the owner. [See the documentation](https://tidycal.com/developer/docs/#tag/Bookings/operation/list-bookings)

Version:0.0.1

Key:tidycal-appointment-cancelled

View on GitHub

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.

Trigger Code#

import common from "../common/polling.mjs";

export default {
  ...common,
  key: "tidycal-appointment-cancelled",
  name: "Appointment Cancelled",
  description: "Triggered when an existing appointment is cancelled by a client or by the owner. [See the documentation](https://tidycal.com/developer/docs/#tag/Bookings/operation/list-bookings)",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceName() {
      return "data";
    },
    getResourceFn() {
      return this.app.listBookings;
    },
    getResourceFnArgs() {
      return {
        params: {
          cancelled: true,
        },
      };
    },
    generateMeta(resource) {
      const ts =  Date.parse(resource.cancelled_at);
      return {
        id: `${resource.id}-${ts}`,
        summary: `Cancelled Booking: ${resource.id}`,
        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
TidyCal	`app`	`app`	This component uses the TidyCal app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the API

Trigger 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).

Action#

Add or update multiple records on Data Stores

Description:Add or update multiple records to your [Pipedream Data Store](https://pipedream.com/data-stores/).

Version:0.0.6

Key:data_stores-add-update-multiple-records

View on GitHub

Data Stores Overview#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Action Code#

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

export default {
  key: "data_stores-add-update-multiple-records",
  name: "Add or update multiple records",
  description: "Add or update multiple records to your [Pipedream Data Store](https://pipedream.com/data-stores/).",
  version: "0.0.6",
  type: "action",
  props: {
    app,
    dataStore: {
      propDefinition: [
        app,
        "dataStore",
      ],
    },
    data: {
      label: "Data",
      type: "object",
      description: "Enter data you'd like to add as key-value pairs, or reference an object from a previous step using a custom expression (e.g., `{{steps.data.$return_value}}`). Note that any keys that are duplicated will get overwritten with the last value entered (so `[{jerry: \"constanza\", jerry: \"seinfeld\"}]` will get stored as `[{jerry: \"seinfeld\"}]`).",
    },
  },
  methods: {
    /**
     * Tries to convert a string to a JSON object or a primitive value.
     * @param {any} value Value to be converted
     * @returns The converted value
     */
    convertString(value) {
      // If type is already primitive non string, return it
      const primitives = [
        "boolean",
        "number",
      ];
      if (primitives.includes(typeof value)) {
        return value;
      }

      // Tries to convert string to possible other primitive types
      if (typeof value === "string") {
        // Convert boolean
        if (value.toLowerCase() === "true") {
          return true;
        }
        if (value.toLowerCase() === "false") {
          return false;
        }

        // Convert number
        if (!isNaN(value)) {
          return parseFloat(value);
        }
      }

      return this.app.evaluate(value);
    },
    /**
     * Add all the key-value pairs in the map object to be used in the data store
     * @param {*} data Data to be parsed
     * @param {Map} map Hashmap to be updated
     */
    populateHashMapOfData(data, map) {
      if (!Array.isArray(data) && typeof(data) === "object") {
        Object.keys(data).forEach((key) => map[key] = this.convertString(data[key]));
        return;
      }

      if (Array.isArray(data)) {
        for (const item of data) {
          this.populateHashMapOfData(item, map);
        }
      }
    },
    getHashMapOfData(data) {
      const map = {};
      this.populateHashMapOfData(data, map);
      return map;
    },
  },
  async run({ $ }) {
    if (typeof this.data === "string") {
      this.data = this.app.evaluate(this.data);
    }
    const map = this.getHashMapOfData(this.data);
    const keys = Object.keys(map);
    const promises = Object.keys(map).map((key) => this.dataStore.set(key, map[key]));
    await Promise.all(promises);
    if (keys.length === 0) {
      $.export("$summary", "No data was added to the data store.");
    } else {
      // eslint-disable-next-line multiline-ternary
      $.export("$summary", `Successfully added or updated ${keys.length} record${keys.length === 1 ? "" : "s"}`);
    }
    return map;
  },
};

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
Data Stores	`app`	`app`	This component uses the Data Stores app.
Data Store	`dataStore`	`data_store`	Select an existing Data Store or create a new one.
Data	`data`	`object`	Enter data you'd like to add as key-value pairs, or reference an object from a previous step using a custom expression (e.g., `{{steps.data.$return_value}}`). Note that any keys that are duplicated will get overwritten with the last value entered (so `[{jerry: "constanza", jerry: "seinfeld"}]` will get stored as `[{jerry: "seinfeld"}]`).