Create Scheduled Query with Google Cloud API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform 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 Jotform 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 Submission (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
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 Submission (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.5

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.5",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  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
Jotform	`jotform`	`app`	This component uses the Jotform app.
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.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

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:0.0.1

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: "0.0.1",
  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

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Popular Actions#

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