← dbt Cloud + Google Analytics integrations

Create Key Event with Google Analytics API on Job Run Completed (Instant) from dbt Cloud API

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Job Run Completed (Instant) from the dbt Cloud API
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Create Key Event with the Google Analytics API
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Getting Started

This integration creates a workflow with a dbt Cloud trigger and Google Analytics 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 Job Run Completed (Instant) trigger
    1. Connect your dbt Cloud account
    2. Select a Account
  3. Configure the Create Key Event action
    1. Connect your Google Analytics account
    2. Select a Property
    3. Configure Event Name
    4. Select a Counting Method
  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 event when a job run has completed.
Version:0.0.2
Key:dbt-job-run-completed

dbt Cloud Overview

The dbt Cloud API allows users to initiate jobs, check on their status, and interact with dbt Cloud programmatically. On Pipedream, you can harness this functionality to automate workflows, such as triggering dbt runs, monitoring your data transformation jobs, and integrating dbt Cloud with other data services. By leveraging Pipedream's serverless platform, you can create custom workflows that act on dbt Cloud events or use the dbt Cloud API to manage your data transformation processes seamlessly.

Trigger Code

import common from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "dbt-job-run-completed",
  name: "Job Run Completed (Instant)",
  description: "Emit new event when a job run has completed.",
  version: "0.0.2",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getEventTypes() {
      return [
        "job.run.completed",
      ];
    },
    generateMeta(body) {
      return {
        id: body.eventId,
        summary: `Job "${body.data.jobName}"" completed`,
        ts: Date.parse(body.data.runFinishedAt),
      };
    },
  },
  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.
LabelPropTypeDescription
dbt ClouddbtappThis component uses the dbt Cloud app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis 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.
AccountaccountIdstringSelect a value from the drop down menu.

Trigger Authentication

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

About dbt Cloud

dbt is an intuitive, collaborative platform that lets you reliably transform data using SQL and Python code.

Action

Description:Creates a new key event. [See the documentation](https://developers.google.com/analytics/devguides/config/admin/v1/rest/v1beta/properties.keyEvents/create)
Version:0.0.2
Key:google_analytics-create-key-event

Google Analytics Overview

The Google Analytics API unlocks the power of your analytics data, enabling automated access to custom reports, real-time statistics, and user behavior analysis. With it, you can extract actionable insights, push data to other platforms, and tailor your business strategy with precision. Leveraging Pipedream's serverless platform, these capabilities can be seamlessly integrated into workflows that trigger actions in other apps, send alerts, or even feed data warehouses for deeper analysis.

Action Code

import app from "../../google_analytics.app.mjs";

export default {
  key: "google_analytics-create-key-event",
  name: "Create Key Event",
  description: "Creates a new key event. [See the documentation](https://developers.google.com/analytics/devguides/config/admin/v1/rest/v1beta/properties.keyEvents/create)",
  version: "0.0.2",
  type: "action",
  props: {
    app,
    parent: {
      propDefinition: [
        app,
        "property",
      ],
      description: "The resource name of the parent property where this Key Event will be created. Format: `properties/123`",
    },
    eventName: {
      type: "string",
      label: "Event Name",
      description: "Immutable. The event name for this key event. Examples: `click`, `purchase`",
    },
    countingMethod: {
      type: "string",
      label: "Counting Method",
      description: "The method by which Key Events will be counted across multiple events within a session.",
      options: [
        {
          label: "Counting method not specified.",
          value: "COUNTING_METHOD_UNSPECIFIED",
        },
        {
          label: "Each Event instance is considered a Key Event.",
          value: "ONCE_PER_EVENT",
        },
        {
          label: "An Event instance is considered a Key Event at most once per session per user.",
          value: "ONCE_PER_SESSION",
        },
      ],
    },
  },
  methods: {
    createKeyEvent({
      parent, ...args
    } = {}) {
      return this.app.post({
        path: `/${parent}/keyEvents`,
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      createKeyEvent,
      parent,
      eventName,
      countingMethod,
    } = this;

    const response = await createKeyEvent({
      $,
      parent,
      data: {
        eventName,
        countingMethod,
      },
    });

    $.export("$summary", `Successfully created key event with name ${eventName} and counting method ${countingMethod} in parent ${parent}`);
    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
Google AnalyticsappappThis component uses the Google Analytics app.
PropertyparentstringSelect a value from the drop down menu.
Event NameeventNamestring

Immutable. The event name for this key event. Examples: click, purchase

Counting MethodcountingMethodstringSelect a value from the drop down menu:{ "label": "Counting method not specified.", "value": "COUNTING_METHOD_UNSPECIFIED" }{ "label": "Each Event instance is considered a Key Event.", "value": "ONCE_PER_EVENT" }{ "label": "An Event instance is considered a Key Event at most once per session per user.", "value": "ONCE_PER_SESSION" }

Action Authentication

Google Analytics uses OAuth authentication. When you connect your Google Analytics account, Pipedream will open a popup window where you can sign into Google Analytics 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 Analytics API.

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

emailprofilehttps://www.googleapis.com/auth/analytics.edithttps://www.googleapis.com/auth/analytics.readonly

About Google Analytics

Google Analytics enables you to measure and report on user activity on websites, web and mobile apps, and internet-connected devices.

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