Browse Records with Algolia API on New Prediction Made from BigML API

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New Prediction Made from the BigML API

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Browse Records with the Algolia API

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Getting Started#

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

Select this integration
Configure the New Prediction Made trigger
1. Connect your BigML account
2. Configure timer
Configure the Browse Records action
1. Connect your Algolia account
2. Select a Index Name
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 Prediction Made on BigML

Description:Emit new event for every made prediction. [See docs here.](https://bigml.com/api/predictions?id=listing-predictions)

Version:0.0.1

Key:bigml-new-prediction-made

View on GitHub

BigML Overview#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Trigger Code#

import base from "../common/base.mjs";

export default {
  ...base,
  key: "bigml-new-prediction-made",
  name: "New Prediction Made",
  description: "Emit new event for every made prediction. [See docs here.](https://bigml.com/api/predictions?id=listing-predictions)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    listingFunction() {
      return this.bigml.listPredictions;
    },
    emitEvent(prediction) {
      this.$emit(prediction, {
        id: prediction.resource,
        summary: `New prediction made: ${prediction.name}`,
        ts: prediction.created,
      });
    },
  },
};

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
BigML	`bigml`	`app`	This component uses the BigML app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

To retrieve your API key,

Navigate to your BigML account and sign in
Click on the Account menu on the top right
Go to “API key”

About BigML#

Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.

Action#

Browse Records on Algolia

Description:Browse for records in the given index. [See the documentation](https://www.algolia.com/doc/libraries/javascript/v5/methods/search/browse/?client=javascript).

Version:0.0.1

Key:algolia-browse-records

View on GitHub

Algolia Overview#

Algolia is a powerful search-as-a-service platform that makes it easy to deliver fast, relevant search experiences to users. The Algolia API allows developers to programmatically manage search indices, perform searches, and capture insights about search activity. With Pipedream, you can harness this API to automate and integrate Algolia's capabilities with other apps, creating efficient workflows that enhance search functionalities and user engagement. You can sync data across platforms, automate content indexing, and trigger actions based on search patterns or user behaviors.

Action Code#

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

export default {
  key: "algolia-browse-records",
  name: "Browse Records",
  description: "Browse for records in the given index. [See the documentation](https://www.algolia.com/doc/libraries/javascript/v5/methods/search/browse/?client=javascript).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    indexName: {
      propDefinition: [
        app,
        "indexName",
      ],
    },
  },
  methods: {
    browse(args) {
      return this.app._client().browse(args);
    },
  },
  async run({ $ }) {
    const {
      browse,
      indexName,
    } = this;

    const response = await browse({
      indexName,
    });

    $.export("$summary", `Successfully fetched records from ${indexName} index.`);

    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
Algolia	`app`	`app`	This component uses the Algolia app.
Index Name	`indexName`	`string`	Select a value from the drop down menu.

Action Authentication#

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

In your Algolia Dashboard, select the API Keys section. Here you'll find your Application ID and API Keys. You can use either your Admin API Key or create another API key with permissions scoped to a specific index / operations (recommended).

Once done, enter both values below.