Create Scheduled Query with Google Cloud API on New Upcoming Event Alert from Google Calendar API

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New Upcoming Event Alert from the Google Calendar API

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Create Scheduled Query with the Google Cloud API

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Getting Started#

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

Select this integration
Configure the New Upcoming Event Alert trigger
1. Connect your Google Calendar account
2. Configure Pipedream API Key
3. Optional- Select a Calendar ID
4. Optional- Select one or more Event Types
5. Configure Minutes Before
Configure the Create Scheduled Query action
1. Connect your Google Cloud account
2. Select a Destination Dataset
3. Optional- Select a Dataset Region
4. Configure Display Name
5. Configure Query
6. Optional- Configure Schedule
7. Optional- Select a Write Disposition
8. Optional- Configure Destination Table Name Template
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 Upcoming Event Alert on Google Calendar

Description:Emit new event based on a time interval before an upcoming event in the calendar.

Version:0.1.0

Key:google_calendar-upcoming-event-alert

View on GitHub

Google Calendar Overview#

The Google Calendar API lets you dip into the powerhouse of scheduling, allowing for the reading, creation, and manipulation of events and calendars directly from your applications. Through Pipedream, you can seamlessly integrate Google Calendar into a myriad of workflows, automating event management, syncing with other services, setting up custom reminders, or even collating data for reporting. The key here is to streamline your calendar-related processes, ensuring that your time management is as efficient and automated as possible.

Trigger Code#

import googleCalendar from "../../google_calendar.app.mjs";
import taskScheduler from "../common/taskScheduler.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "google_calendar-upcoming-event-alert",
  name: "New Upcoming Event Alert",
  description: "Emit new event based on a time interval before an upcoming event in the calendar.",
  version: "0.1.0",
  type: "source",
  props: {
    googleCalendar,
    db: "$.service.db",
    http: "$.interface.http",
    pipedreamApiKey: {
      type: "string",
      label: "Pipedream API Key",
      description: "[Click here to find your Pipedream API key](https://pipedream.com/settings/user)",
      secret: true,
    },
    calendarId: {
      propDefinition: [
        googleCalendar,
        "calendarId",
      ],
    },
    eventTypes: {
      propDefinition: [
        googleCalendar,
        "eventTypes",
      ],
    },
    time: {
      type: "integer",
      label: "Minutes Before",
      description: "Number of minutes to trigger before the start of the calendar event.",
      min: 0,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.time > 0) {
      props.timer = {
        type: "$.interface.timer",
        description: "Poll the API to schedule alerts for any newly created events",
        default: {
          intervalSeconds: 60 * this.time,
        },
      };
    }
    return props;
  },
  hooks: {
    async deactivate() {
      const ids = this._getScheduledEventIds();
      if (!ids?.length) {
        return;
      }
      for (const id of ids) {
        if (await this.deleteScheduledEvent({
          body: {
            id,
          },
        }, this.pipedreamApiKey)) {
          console.log("Cancelled scheduled event");
        }
      }
      this._setScheduledEventIds();
    },
  },
  methods: {
    ...taskScheduler.methods,
    _getScheduledEventIds() {
      return this.db.get("scheduledEventIds");
    },
    _setScheduledEventIds(ids) {
      this.db.set("scheduledEventIds", ids);
    },
    _getScheduledCalendarEventIds() {
      return this.db.get("scheduledCalendarEventIds");
    },
    _setScheduledCalendarEventIds(ids) {
      this.db.set("scheduledCalendarEventIds", ids);
    },
    _hasDeployed() {
      const result = this.db.get("hasDeployed");
      this.db.set("hasDeployed", true);
      return result;
    },
    subtractMinutes(date, minutes) {
      return date.getTime() - minutes * 60000;
    },
    async getCalendarEvents() {
      const calendarEvents = [];
      const params = {
        returnOnlyData: false,
        calendarId: this.calendarId,
        eventTypes: this.eventTypes,
      };
      do {
        const {
          data: {
            items, nextPageToken,
          },
        } = await this.googleCalendar.listEvents(params);
        if (items?.length) {
          calendarEvents.push(...items);
        }
        params.pageToken = nextPageToken;
      } while (params.pageToken);
      return calendarEvents;
    },
  },
  async run(event) {
    // self subscribe only on the first time
    if (!this._hasDeployed()) {
      await this.selfSubscribe(this.pipedreamApiKey);
    }

    const scheduledEventIds = this._getScheduledEventIds() || [];

    // incoming scheduled event
    if (event.$channel === this.selfChannel()) {
      const remainingScheduledEventIds = scheduledEventIds.filter((id) => id !== event["$id"]);
      this._setScheduledEventIds(remainingScheduledEventIds);
      this.emitEvent(event, `Upcoming ${event.summary
        ? event.summary + " "
        : ""}event`);
      return;
    }

    // schedule new events
    const scheduledCalendarEventIds = this._getScheduledCalendarEventIds() || {};
    const calendarEvents = await this.getCalendarEvents();

    for (const calendarEvent of calendarEvents) {
      const startTime = calendarEvent.start
        ? (new Date(calendarEvent.start.dateTime || calendarEvent.start.date))
        : null;
      if (!startTime
        || startTime.getTime() < Date.now()
        || scheduledCalendarEventIds[calendarEvent.id])
      {
        continue;
      }
      const later = new Date(this.subtractMinutes(startTime, this.time));

      const scheduledEventId = this.emitScheduleEvent(calendarEvent, later);
      scheduledEventIds.push(scheduledEventId);
      scheduledCalendarEventIds[calendarEvent.id] = true;
    }
    this._setScheduledEventIds(scheduledEventIds);
    this._setScheduledCalendarEventIds(scheduledCalendarEventIds);
  },
  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
Google Calendar	`googleCalendar`	`app`	This component uses the Google Calendar 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.
Pipedream API Key	`pipedreamApiKey`	`string`	Click here to find your Pipedream API key
Calendar ID	`calendarId`	`string`	Select a value from the drop down menu.
Event Types	`eventTypes`	`string[]`	Select a value from the drop down menu:`defaultfocusTimeoutOfOfficeworkingLocation`
Minutes Before	`time`	`integer`	Number of minutes to trigger before the start of the calendar event.

Trigger Authentication#

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

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

https://www.googleapis.com/auth/calendar.eventshttps://www.googleapis.com/auth/calendar.readonlyhttps://www.googleapis.com/auth/calendar.settings.readonlyemailprofile

About Google Calendar#

With Google Calendar, you can quickly schedule meetings and events and get reminders about upcoming activities, so you always know what’s next.

Action#

Create Scheduled Query on Google Cloud

Description:Creates a scheduled query in Google Cloud. [See the documentation](https://cloud.google.com/bigquery/docs/scheduling-queries)

Version:0.0.3

Key:google_cloud-create-scheduled-query

View on GitHub

Google Cloud Overview#

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Action Code#

import { protos } from "@google-cloud/bigquery-data-transfer";
import googleCloud from "../../google_cloud.app.mjs";
import constants from "../../common/constants.mjs";
import regions from "../../common/regions.mjs";

const {
  CreateTransferConfigRequest,
  TransferConfig,
} = protos.google.cloud.bigquery.datatransfer.v1;

export default {
  key: "google_cloud-create-scheduled-query",
  name: "Create Scheduled Query",
  description: "Creates a scheduled query in Google Cloud. [See the documentation](https://cloud.google.com/bigquery/docs/scheduling-queries)",
  version: "0.0.3",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    googleCloud,
    destinationDatasetId: {
      label: "Destination Dataset",
      description: "The name of the dataset to create the table in. If the dataset does not exist, it will be created.",
      propDefinition: [
        googleCloud,
        "datasetId",
      ],
    },
    datasetRegion: {
      type: "string",
      label: "Dataset Region",
      description: "The geographic location where the dataset should reside. [See the documentation here](https://cloud.google.com/bigquery/docs/locations#specifying_your_location)",
      default: "us",
      options: regions,
      optional: true,
    },
    displayName: {
      type: "string",
      label: "Display Name",
      description: "The user-friendly display name for the transfer config.",
    },
    query: {
      type: "string",
      label: "Query",
      description: "The GoogleSQL query to execute. Eg. ``SELECT @run_time AS time, * FROM `my_dataset.my_table` LIMIT 1000``. [See the documentation here](https://cloud.google.com/bigquery/docs/scheduling-queries#query_string).",
    },
    schedule: {
      type: "string",
      label: "Schedule",
      description: "Data transfer schedule. If the data source does not support a custom schedule, this should be empty. If it is empty, the default value for the data source will be used. The specified times are in UTC. Examples of valid format: `every 24 hours`, `1st,3rd monday of month 15:30`, `every wed,fri of jan,jun 13:15`, and `first sunday of quarter 00:00`. [See more explanation about the format here](https://cloud.google.com/appengine/docs/flexible/python/scheduling-jobs-with-cron-yaml#the_schedule_format).",
      optional: true,
    },
    writeDisposition: {
      type: "string",
      label: "Write Disposition",
      description: "The write preference you select determines how your query results are written to an existing destination table. [See the documentation here](https://cloud.google.com/bigquery/docs/scheduling-queries#write_preference).",
      default: constants.WRITE_DISPOSITION.WRITE_TRUNCATE,
      options: Object.values(constants.WRITE_DISPOSITION),
      optional: true,
    },
    destinationTableNameTemplate: {
      type: "string",
      label: "Destination Table Name Template",
      description: "The destination table name template can contain template variables such as ``{run_date}`` or ``{run_time}``. [See the documentation here](https://cloud.google.com/bigquery/docs/scheduling-queries#templating-examples).",
      optional: true,
      default: "logs",
    },
  },
  methods: {
    getTransferConfig({
      query, writeDisposition, destinationTableNameTemplate, ...args
    } = {}) {
      return new TransferConfig({
        dataSourceId: constants.DATA_SOURCE_ID.SCHEDULED_QUERY,
        params: {
          fields: {
            query: {
              stringValue: query,
            },
            destination_table_name_template: {
              stringValue: destinationTableNameTemplate,
            },
            write_disposition: {
              stringValue: writeDisposition,
            },
          },
        },
        ...args,
      });
    },
    createTransferConfig(args = {}) {
      const {
        googleCloud,
        getTransferConfig,
      } = this;

      const {
        project_id: projectId,
        client_email: serviceAccountName,
      } = googleCloud.authKeyJson();

      const client = googleCloud.bigQueryDataTransferClient();
      const parent = client.projectPath(projectId);

      const request = new CreateTransferConfigRequest({
        parent,
        serviceAccountName,
        transferConfig: getTransferConfig(args),
      });

      return client.createTransferConfig(request);
    },
  },
  async run({ $ }) {
    const {
      createTransferConfig,
      ...props
    } = this;

    const [
      response,
    ] = await createTransferConfig(props);

    $.export("$summary", `Scheduled query created with name: \`${response.name}\``);

    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
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
Destination Dataset	`destinationDatasetId`	`string`	Select a value from the drop down menu.
Dataset Region	`datasetRegion`	`string`	Select a value from the drop down menu:`useuropeus-east1us-east4us-east5us-east7us-central1us-central2us-west1us-west2us-west3us-west4us-south1asia-east1asia-northeast1asia-southeast1asia-south1asia-east2asia-northeast2asia-northeast3asia-southeast2asia-south2europe-north1europe-west1europe-west2europe-west3europe-west4europe-west6europe-central2europe-west9europe-west8europe-southwest1europe-west10europe-west12northamerica-northeast1northamerica-northeast2southamerica-east1southamerica-west1australia-southeast1australia-southeast2me-central2me-west1me-central1africa-south1aws-us-east-1aws-us-west-2aws-ap-northeast-2aws-eu-west-1azure-eastus2`
Display Name	`displayName`	`string`	The user-friendly display name for the transfer config.
Query	`query`	`string`	The GoogleSQL query to execute. Eg. SELECT @run_time AS time, * FROM `my_dataset.my_table` LIMIT 1000. See the documentation here
Schedule	`schedule`	`string`	Data transfer schedule. If the data source does not support a custom schedule, this should be empty. If it is empty, the default value for the data source will be used. The specified times are in UTC. Examples of valid format: `every 24 hours`, `1st,3rd monday of month 15:30`, `every wed,fri of jan,jun 13:15`, and `first sunday of quarter 00:00`. See more explanation about the format here
Write Disposition	`writeDisposition`	`string`	Select a value from the drop down menu:`WRITE_TRUNCATEWRITE_APPEND`
Destination Table Name Template	`destinationTableNameTemplate`	`string`	The destination table name template can contain template variables such as `{run_date}` or `{run_time}`. See the documentation here

Action Authentication#

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

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Upload the key below.

About Google Cloud#

The Google Cloud Platform, including BigQuery

More Ways to Connect Google Cloud + Google Calendar#

Other Popular Integrations#

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Create Scheduled Query with Google Cloud API on New Upcoming Event Alert from Google Calendar API

Pipedream makes it easy to connect APIs for Google Cloud, Google Calendar and 2,900+ other apps remarkably fast.

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

Developers ♥ Pipedream

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