← Slack + Metatext.AI Pre-build AI models API integrations

Extract Keywords with Metatext.AI Pre-build AI models API API on New Message In Channels (Instant) from Slack API

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New Message In Channels (Instant) from the Slack API
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Extract Keywords with the Metatext.AI Pre-build AI models API API
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Getting Started

This integration creates a workflow with a Slack trigger and Metatext.AI Pre-build AI models API 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 New Message In Channels (Instant) trigger
    1. Connect your Slack account
    2. Optional- Select one or more Channels
    3. Configure slackApphook
    4. Optional- Configure Resolve Names
    5. Optional- Configure Ignore Bots
    6. Optional- Configure Ignore replies in threads
  3. Configure the Extract Keywords action
    1. Connect your Metatext.AI Pre-build AI models API account
    2. Configure Text
  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 new message is posted to one or more channels
Version:1.0.22
Key:slack-new-message-in-channels

Slack Overview

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Trigger Code

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

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.22",
  description: "Emit new event when a new message is posted to one or more channels",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    resolveNames: {
      propDefinition: [
        common.props.slack,
        "resolveNames",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreThreads: {
      type: "boolean",
      label: "Ignore replies in threads",
      description: "Ignore replies to messages in threads",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New message in channel";
    },
    async processEvent(event) {
      if (event.type !== "message") {
        console.log(`Ignoring event with unexpected type "${event.type}"`);
        return;
      }
      if (event.subtype && !constants.ALLOWED_MESSAGE_IN_CHANNEL_SUBTYPES.includes(event.subtype)) {
        // This source is designed to just emit an event for each new message received.
        // Due to inconsistencies with the shape of message_changed and message_deleted
        // events, we are ignoring them for now. If you want to handle these types of
        // events, feel free to change this code!!
        console.log("Ignoring message with subtype.");
        return;
      }
      if ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) {
        return;
      }
      // There is no thread message type only the thread_ts field
      // indicates if the message is part of a thread in the event.
      if (this.ignoreThreads && event.thread_ts) {
        console.log("Ignoring reply in thread");
        return;
      }
      if (this.resolveNames) {
        if (event.user) {
          event.user_id = event.user;
          event.user = await this.getUserName(event.user);
        } else if (event.bot_id) {
          event.bot = await this.getBotName(event.bot_id);
        }
        event.channel_id = event.channel;
        event.channel = await this.getConversationName(event.channel);
        if (event.team) {
          event.team_id = event.team;
          event.team = await this.getTeamName(event.team);
        }
      }
      return event;
    },
  },
  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
SlackslackappThis component uses the Slack app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Channelsconversationsstring[]Select a value from the drop down menu.
slackApphook$.interface.apphook
Resolve NamesresolveNamesboolean

Instead of returning channel, team, and user as IDs, return their human-readable names.

Ignore BotsignoreBotboolean

Ignore messages from bots

Ignore replies in threadsignoreThreadsboolean

Ignore replies to messages in threads

Trigger Authentication

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

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

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

Action

Description:Identify and extract significant keywords from the given text. [See the documentation](https://app.metatext.ai/models/keyword-extractor/inference-api).
Version:0.0.1
Key:metatext_ai_pre_build_ai_models_api-extract-keywords

Metatext.AI Pre-build AI models API Overview

The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.

Action Code

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

export default {
  key: "metatext_ai_pre_build_ai_models_api-extract-keywords",
  name: "Extract Keywords",
  description: "Identify and extract significant keywords from the given text. [See the documentation](https://app.metatext.ai/models/keyword-extractor/inference-api).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    text: {
      propDefinition: [
        app,
        "text",
      ],
    },
  },
  methods: {
    extractKeywords(args = {}) {
      return this.app.post({
        path: "/keyword-extractor",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const response = await this.extractKeywords({
      step,
      data: {
        text: this.text,
      },
    });

    step.export("$summary", "Successfully extracted keywords.");

    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
Metatext.AI Pre-build AI models APIappappThis component uses the Metatext.AI Pre-build AI models API app.
Texttextstring

The text parameter to be used as base for the request.

Action Authentication

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

Sign in and copy your API key from the Settings page.

About Metatext.AI Pre-build AI models API

Create and manage machines that read and write.

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