Send SMS Verification with FraudLabs Pro API on BigQuery - Query Results from Google Cloud API

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BigQuery - Query Results from the Google Cloud API

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Send SMS Verification with the FraudLabs Pro API

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Getting Started#

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

Select this integration
Configure the BigQuery - Query Results trigger
1. Connect your Google Cloud account
2. Configure Polling interval
3. Configure Event Size
4. Select a Dataset ID
5. Configure SQL Query
6. Optional- Configure De-duplication Key
Configure the Send SMS Verification action
1. Connect your FraudLabs Pro account
2. Configure Telephone Number
3. Configure Message
4. Optional- Configure Country Code
5. Optional- Configure Result Format
6. Optional- Configure OTP Timeout
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#

BigQuery - Query Results on Google Cloud

Description:Emit new events with the results of an arbitrary query

Version:0.1.5

Key:google_cloud-bigquery-query-results

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.

Trigger Code#

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

export default {
  ...common,
  key: "google_cloud-bigquery-query-results",
  // eslint-disable-next-line pipedream/source-name
  name: "BigQuery - Query Results",
  description: "Emit new events with the results of an arbitrary query",
  version: "0.1.5",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Your SQL query",
    },
    dedupeKey: {
      type: "string",
      label: "De-duplication Key",
      description: `
        The name of a column in the table to use for deduplication. See [the
        docs](https://github.com/PipedreamHQ/pipedream/tree/master/components/google_cloud/sources/bigquery-query-results#technical-details)
        for more info.
      `,
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getQueryOpts() {
      return {
        query: this.sqlQuery,
      };
    },
    generateMeta(row, ts) {
      const { [this.dedupeKey]: id = uuidv4() } = row;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(rows, ts) {
      const hash = crypto.createHash("sha1");
      rows
        .map((i) => i[this.dedupeKey] || uuidv4())
        .map((i) => i.toString())
        .forEach((i) => hash.update(i));
      const id = hash.digest("base64");
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        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
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	How often to run your query
Event Size	`eventSize`	`integer`	The number of rows to include in a single event (by default, emits 1 event per row)
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
SQL Query	`sqlQuery`	`string`	Your SQL query
De-duplication Key	`dedupeKey`	`string`	`The name of a column in the table to use for deduplication. See [the docs](https://github.com/PipedreamHQ/pipedream/tree/master/components/google_cloud/sources/bigquery-query-results#technical-details) for more info.`

Trigger 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
Open the JSON in a text editor, and copy and paste its contents here.

About Google Cloud#

The Google Cloud Platform, including BigQuery

Action#

Send SMS Verification on FraudLabs Pro

Description:Send an SMS with verification code and a custom message for authentication purpose. Please refer to the [documentation](https://www.fraudlabspro.com/developer/api/send-verification) for the explanation of the result returned. NOTE: You need to register for an API key before using this REST API. Please visit [Micro Plan](https://www.fraudlabspro.com/sign-up) to sign up for an API key if you do not have one. In addition, you will also have to make sure you have enough SMS credits to send any verification SMS.

Version:0.0.3

Key:fraudlabs_pro-send-sms-verification

View on GitHub

FraudLabs Pro Overview#

The FraudLabs Pro API offers a robust suite of fraud prevention tools that empower users to screen online transactions for fraud. It leverages advanced scoring analytics to rate the risk level of a transaction based on various verification checks, such as IP address, email, transaction velocity, and more. Using Pipedream, developers can integrate these capabilities into workflows to automate fraud checks, augment data analysis, and trigger actions based on fraud scores.

Action Code#

import fraudlabsProApp from "../../fraudlabs_pro.app.mjs";

export default {
  name: "Send SMS Verification",
  description: "Send an SMS with verification code and a custom message for authentication purpose. Please refer to the [documentation](https://www.fraudlabspro.com/developer/api/send-verification) for the explanation of the result returned. NOTE: You need to register for an API key before using this REST API. Please visit [Micro Plan](https://www.fraudlabspro.com/sign-up) to sign up for an API key if you do not have one. In addition, you will also have to make sure you have enough SMS credits to send any verification SMS.",
  key: "fraudlabs_pro-send-sms-verification",
  version: "0.0.3",
  type: "action",
  props: {
    fraudlabsProApp,
    tel: {
      type: "string",
      label: "Telephone Number",
      description: "The recipient mobile phone number in E164 format which is a plus followed by just numbers with no spaces or parentheses. For example, `+12015550123`",
    },
    mesg: {
      type: "string",
      label: "Message",
      description: "The message template for the SMS. Add <otp> as placeholder for the actual OTP to be generated. Max length is 140 characters. For example, `Your OTP for the transaction is <otp>`",
    },
    countryCode: {
      type: "string",
      label: "Country Code",
      description: "*(optional)* ISO 3166 country code for the recipient mobile phone number. If parameter is supplied, then some basic telephone number validation is done.",
      optional: true,
    },
    format: {
      propDefinition: [
        fraudlabsProApp,
        "format",
      ],
    },
    otpTimeout: {
      type: "string",
      label: "OTP Timeout",
      description: "*(optional)* Timeout feature for OTP value in seconds. Default is `3600` seconds(1 hour). Min timeout is 15 seconds whereas max timeout is `86400` seconds(24 hours).",
      optional: true,
    },
  },
  async run({ $ }) {

    const {
      tel,
      mesg,
      countryCode,
      format,
      otpTimeout,
    } = this;

    const response =
    await this.fraudlabsProApp.sendSmsVerification({
      tel,
      format,
      mesg,
      country_code: countryCode ?? "",
      otp_timeout: otpTimeout ?? "",
    });

    if ('error' in response) {
      throw new Error(`Fraudlabs Pro response: error code ${response.error.error_code} - ${response.error.error_message}`);
    } else {
      $.export("$summary", "Successfully sent SMS verification");
    }
    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
FraudLabs Pro	`fraudlabsProApp`	`app`	This component uses the FraudLabs Pro app.
Telephone Number	`tel`	`string`	The recipient mobile phone number in E164 format which is a plus followed by just numbers with no spaces or parentheses. For example, `+12015550123`
Message	`mesg`	`string`	The message template for the SMS. Add <otp> as placeholder for the actual OTP to be generated. Max length is 140 characters. For example, `Your OTP for the transaction is <otp>`
Country Code	`countryCode`	`string`	(optional) ISO 3166 country code for the recipient mobile phone number. If parameter is supplied, then some basic telephone number validation is done.
Result Format	`format`	`string`	(optional) Format of the result. Available values are `json` or `xml`. If unspecified, json format will be used for the response message.
OTP Timeout	`otpTimeout`	`string`	(optional) Timeout feature for OTP value in seconds. Default is `3600` seconds(1 hour). Min timeout is 15 seconds whereas max timeout is `86400` seconds(24 hours).