← Google Cloud + FraudLabs Pro integrations

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

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BigQuery - New Row from the Google Cloud API
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Get Verification Result 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.

  1. Select this integration
  2. 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
  3. Configure the Get Verification Result action
    1. Connect your FraudLabs Pro account
    2. Configure Transaction ID
    3. Configure OTP
    4. Optional- Configure Result Format
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new events when a new row is added to a table
Version:0.1.6
Key:google_cloud-bigquery-new-row

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.
LabelPropTypeDescription
Google CloudgoogleCloudappThis component uses the Google Cloud app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling intervaltimer$.interface.timer

How often to run your query

Event SizeeventSizeinteger

The number of rows to include in a single event (by default, emits 1 event per row)

Dataset IDdatasetIdstringSelect a value from the drop down menu.
Table NametableIdstringSelect a value from the drop down menu.
Unique KeyuniqueKeystringSelect 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.

  1. Create a service account in GCP and set the permissions you need for Pipedream workflows.

  2. Generate a service account key

  3. Download the key details in JSON format

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

About Google Cloud

The Google Cloud Platform, including BigQuery

Action

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

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.

LabelPropTypeDescription
FraudLabs ProfraudlabsProAppappThis component uses the FraudLabs Pro app.
Transaction IDtranIdstring

The unique ID that was returned by the Send Verification SMS API that triggered the OTP sms.

OTPotpstring

The OTP that was sent to the recipient’s phone.

Result Formatformatstring

(optional) Format of the result. Available values are json or xml. If unspecified, json format will be used for the response message.

Action Authentication

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

To get your API Key, sign on to your Fraudlabs Pro account and and go to the Accounts -> Licenses page.

About FraudLabs Pro

FraudLabs Pro helps merchants to protect their online e-commerce stores from malicious fraudsters. It screens all sales orders transacted using credit cards, PayPal, and so on for online frauds (also known as payment frauds or CNP frauds).

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