Get Verification Result with FraudLabs Pro API on BigQuery - New Row from Google Cloud API

Pipedream makes it easy to connect APIs for FraudLabs Pro, Google Cloud and 1,600+ other apps remarkably fast.

Trigger workflow on

BigQuery - New Row from the Google Cloud API

Next, do this

Get Verification Result with the FraudLabs Pro API

No credit card required

▶

Watch us build a workflow

7 min

Watch now ➜

Trusted by 750,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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 - New Row trigger
1. Connect your Google Cloud account
2. Configure Polling interval
3. Configure Event Size
4. Select a Dataset ID
5. Select a Table Name
6. Select a Unique Key
Configure the Get Verification Result action
1. Connect your FraudLabs Pro account
2. Configure Transaction ID
3. Configure OTP
4. Optional- Configure Result Format
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 - New Row on Google Cloud

Description:Emit new events when a new row is added to a table

Version:0.1.6

Key:google_cloud-bigquery-new-row

View on GitHub

Google Cloud Overview#

The Google Cloud API allows developers to access a variety of Google Cloud
services from their own applications. Services that can be accessed include
Google Cloud Storage, Google Cloud Datastore, Google Cloud Functions, and
Google Cloud Pub/Sub. With the Google Cloud API, developers can build a variety
of applications that take advantage of Google Cloud services.

Trigger Code#

import crypto from "crypto";
import { isString } from "lodash-es";
import googleCloud from "../../google_cloud.app.mjs";
import common from "../common/bigquery.mjs";

export default {
  ...common,
  key: "google_cloud-bigquery-new-row",
  // eslint-disable-next-line pipedream/source-name
  name: "BigQuery - New Row",
  description: "Emit new events when a new row is added to a table",
  version: "0.1.6",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    tableId: {
      propDefinition: [
        googleCloud,
        "tableId",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    uniqueKey: {
      type: "string",
      label: "Unique 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-new-row#technical-details) for more info.",
      async options(context) {
        const { page } = context;
        if (page !== 0) {
          return [];
        }

        const columnNames = await this._getColumnNames();
        return columnNames.sort();
      },
    },
  },
  hooks: {
    ...common.hooks,
    async deploy() {
      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow(this.getInitialEventCount());
      this._setLastResultId(lastResultId);
    },
    async activate() {
      if (this._getLastResultId()) {
        // ID of the last result has already been initialised during deploy(),
        // so we skip the rest of the activation.
        return;
      }

      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow();
      this._setLastResultId(lastResultId);
    },
    deactivate() {
      this._setLastResultId(null);
    },
  },
  methods: {
    ...common.methods,
    _getLastResultId() {
      return this.db.get("lastResultId");
    },
    _setLastResultId(lastResultId) {
      this.db.set("lastResultId", lastResultId);
      console.log(`
        Next scan of table '${this.tableId}' will start at ${this.uniqueKey}=${lastResultId}
      `);
    },
    /**
     * Utility method to make sure that a certain column exists in the target
     * table. Useful for SQL query sanitizing.
     *
     * @param {string} columnNameToValidate The name of the column to validate
     * for existence
     */
    async _validateColumn(columnNameToValidate) {
      if (!isString(columnNameToValidate)) {
        throw new Error("columnNameToValidate must be a string");
      }

      const columnNames = await this._getColumnNames();
      if (!columnNames.includes(columnNameToValidate)) {
        throw new Error(`Nonexistent column: ${columnNameToValidate}`);
      }
    },
    async _getColumnNames() {
      const table = this.googleCloud
        .getBigQueryClient()
        .dataset(this.datasetId)
        .table(this.tableId);
      const [
        metadata,
      ] = await table.getMetadata();
      const { fields } = metadata.schema;
      return fields.map(({ name }) => name);
    },
    async _getIdOfLastRow(offset = 0) {
      const limit = offset + 1;
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        ORDER BY \`${this.uniqueKey}\` DESC
        LIMIT @limit
      `;
      const queryOpts = {
        query,
        params: {
          limit,
        },
      };
      const rows = await this.getRowsForQuery(queryOpts, this.datasetId);
      if (rows.length === 0) {
        console.log(`
          No records found in the target table, will start scanning from the beginning
        `);
        return;
      }

      const startingRow = rows.pop();
      return startingRow[this.uniqueKey];
    },
    getQueryOpts() {
      const lastResultId = this._getLastResultId();
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        WHERE \`${this.uniqueKey}\` >= @lastResultId
        ORDER BY \`${this.uniqueKey}\` ASC
      `;
      const params = {
        lastResultId,
      };
      return {
        query,
        params,
      };
    },
    generateMeta(row, ts) {
      const id = row[this.uniqueKey];
      const summary = `New row: ${id}`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(rows, ts) {
      const hash = crypto.createHash("sha1");
      rows
        .map((i) => i[this.uniqueKey])
        .map((i) => i.toString())
        .forEach((i) => hash.update(i));
      const id = hash.digest("base64");

      const rowCount = rows.length;
      const entity = rowCount === 1
        ? "row"
        : "rows";
      const summary = `${rowCount} new ${entity}`;

      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.
Table Name	`tableId`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.

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#

Get Verification Result on FraudLabs Pro

Description:Verify that an OTP sent by the Send SMS Verification API is valid. Please refer to the [documentation](https://www.fraudlabspro.com/developer/api/get-result) for the explanation of the result returned.

Version:0.0.2

Key:fraudlabs_pro-verify-otp

View on GitHub

FraudLabs Pro Overview#

Fraud Detection for E-commerce

The FraudLabs Pro API enables e-commerce businesses to detect fraudulent orders
with ease. Businesses can simply send in an order’s information, and FraudLabs
Pro will return a fraud score and report explaining the decision. This allows
businesses to make informed decisions on whether to accept, flag, or reject an
order.

FraudLabs Pro can help e-commerce businesses in the following ways:

Detect fraudulent orders
Reduce chargebacks and fraud-related losses
Prevent fraudsters from abusing the system

Here are some examples of what you can build with the FraudLabs Pro API:

A fraud detection system for your e-commerce website
A chargeback prevention system for your business
A fraud monitoring system to track fraudsters and their activities

Action Code#

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

export default {
  name: "Get Verification Result",
  description: "Verify that an OTP sent by the Send SMS Verification API is valid. Please refer to the [documentation](https://www.fraudlabspro.com/developer/api/get-result) for the explanation of the result returned.",
  key: "fraudlabs_pro-verify-otp",
  version: "0.0.2",
  type: "action",
  props: {
    fraudlabsProApp,
    tranId: {
      type: "string",
      label: "Transaction ID",
      description: "The unique ID that was returned by the Send Verification SMS API that triggered the OTP sms.",
    },
    otp: {
      type: "string",
      label: "OTP",
      description: "The OTP that was sent to the recipient’s phone.",
    },
    format: {
      propDefinition: [
        fraudlabsProApp,
        "format",
      ],
    },
  },
  async run({ $ }) {

    const {
      tranId,
      otp,
      format,
    } = this;
    const response =
    await this.fraudlabsProApp.verifyOtp({
      tran_id: tranId,
      format: format ?? "json",
      otp,
    });
    $.export("$summary", "Successfully verified the OTP");
    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.
Transaction ID	`tranId`	`string`	The unique ID that was returned by the Send Verification SMS API that triggered the OTP sms.
OTP	`otp`	`string`	The OTP that was sent to the recipient’s phone.
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.