Create Batch Prediction with BigML API on New Command Received (Instant) from Discord API

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New Command Received (Instant) from the Discord API

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Create Batch Prediction with the BigML API

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Getting Started#

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

Select this integration
Configure the New Command Received (Instant) trigger
1. Connect your Discord account
2. Configure Channels
3. Configure discordApphook
4. Configure Commands
Configure the Create Batch Prediction action
1. Connect your BigML account
2. Optional- Select a Model ID
3. Optional- Select a Dataset ID
4. Optional- Configure Description
5. Optional- Configure Other Arguments
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 Command Received (Instant) on Discord

Description:Emit new event for each command posted to one or more channels in a Discord server

Version:0.0.3

Key:discord-new-command-received

View on GitHub

Discord Overview#

The Discord API interacts seamlessly with Pipedream, empowering you to craft customized automations and workflows for your Discord server. With this powerful integration, you can automate tasks like message posting, user management, and notifications, based on a myriad of triggers and actions from different apps. These automations can enhance the Discord experience for community moderators and members, by synchronizing with external tools, organizing community engagement, and streamlining notifications.

Trigger Code#

import discord from "../../discord.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  type: "source",
  key: "discord-new-command-received",
  name: "New Command Received (Instant)",
  description: "Emit new event for each command posted to one or more channels in a Discord server",
  version: "0.0.3",
  dedupe: "unique",
  props: {
    discord,
    channels: {
      type: "$.discord.channel[]",
      appProp: "discord",
      label: "Channels",
      description: "Select the channel(s) you'd like to be notified for",
    },
    // eslint-disable-next-line pipedream/props-label,pipedream/props-description
    discordApphook: {
      type: "$.interface.apphook",
      appProp: "discord",
      async eventNames() {
        return this.channels || [];
      },
    },
    commands: {
      label: "Commands",
      description: "List of commands to listen. E.g. `[\"/hi\", \"/hello\"]`",
      type: "string[]",
    },
  },
  async run(event) {
    if (event.guildID != this.discord.$auth.guild_id) {
      return;
    }

    const command = event.content.split(" ")[0];

    if (typeof this.commands === "string") {
      this.commands = JSON.parse(this.commands);
    }

    if (!this.commands.includes(command)) {
      return;
    }

    this.$emit(event, {
      id: event.id,
      summary: `New command posted with ID ${event.id}`,
      ts: Date.parse(event.createdTimestamp),
    });
  },
  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.

Label	Prop	Type	Description
Discord	`discord`	`app`	This component uses the Discord app.
Channels	`channels`	`$.discord.channel[]`	Select the channel(s) you'd like to be notified for
	`discordApphook`	`$.interface.apphook`
Commands	`commands`	`string[]`	List of commands to listen. E.g. `["/hi", "/hello"]`

Trigger Authentication#

Discord uses OAuth authentication. When you connect your Discord account, Pipedream will open a popup window where you can sign into Discord and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Discord API.

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

botemailidentifyguilds

About Discord#

Use this app to create a Discord source that emits messages from your guild to a Pipedream workflow.

Action#

Create Batch Prediction on BigML

Description:Create a batch prediction given a Supervised Model ID and a Dataset ID. [See the docs.](https://bigml.com/api/batchpredictions?id=creating-a-batch-prediction)

Version:0.0.1

Key:bigml-create-batch-prediction

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.

Action Code#

import bigml from "../../bigml.app.mjs";
import { parseJSON } from "../../common/utils.mjs";

export default {
  key: "bigml-create-batch-prediction",
  name: "Create Batch Prediction",
  description: "Create a batch prediction given a Supervised Model ID and a Dataset ID. [See the docs.](https://bigml.com/api/batchpredictions?id=creating-a-batch-prediction)",
  version: "0.0.1",
  type: "action",
  props: {
    bigml,
    modelId: {
      propDefinition: [
        bigml,
        "modelId",
      ],
      optional: true,
    },
    datasetId: {
      propDefinition: [
        bigml,
        "datasetId",
      ],
      optional: true,
    },
    description: {
      type: "string",
      label: "Description",
      description: "A description of the batch prediction",
      optional: true,
    },
    args: {
      type: "object",
      label: "Other Arguments",
      description: "Other arguments for the batch prediction. [See the docs](https://bigml.com/api/batchpredictions?id=batch-prediction-arguments) for more information",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.bigml.createBatchPrediction({
      $,
      data: {
        ...parseJSON(this.args),
        model: this.modelId,
        dataset: this.datasetId,
        description: this.description,
      },
    });
    $.export("$summary", "Succesfully created batch prediction");
    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
BigML	`bigml`	`app`	This component uses the BigML app.
Model ID	`modelId`	`string`	Select a value from the drop down menu.
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Description	`description`	`string`	A description of the batch prediction
Other Arguments	`args`	`object`	Other arguments for the batch prediction. See the docs for more information

Action 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”

Create Batch Prediction with BigML API on New Command Received (Instant) from Discord API

Pipedream makes it easy to connect APIs for BigML, Discord and 2,500+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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