Analyze Text with Tisane Labs API on New Forum Thread Message from Discord Bot API

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New Forum Thread Message from the Discord Bot API

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Analyze Text with the Tisane Labs API

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Getting Started#

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

Select this integration
Configure the New Forum Thread Message trigger
1. Connect your Discord Bot account
2. Select a Guild
3. Configure timer
4. Select a Forum Id
Configure the Analyze Text action
1. Connect your Tisane Labs account
2. Select a Language
3. Configure Content
4. Optional- Select a Format
5. Optional- Configure Disable Spellcheck
6. Optional- Configure Lowercase Spellcheck Only
7. Optional- Configure Minimum Generic Frequency
8. Optional- Configure Subscope
9. Optional- Configure Abuse
10. Optional- Configure Sentiment
11. Optional- Configure Document Sentiment
12. Optional- Configure Entities
13. Optional- Configure Topics
14. Optional- Configure Words
15. Optional- Configure Fetch Definitions
16. Optional- Configure Parse
17. Optional- Configure Deterministic
18. Optional- Configure Snippets
19. Optional- Configure Explain
20. Optional- Select a Feature Standard
21. Optional- Select a Topic Standard
22. Optional- Select a Sentiment Analysis Type
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 Forum Thread Message on Discord Bot

Description:Emit new event for each forum thread message posted. Note that your bot must have the `MESSAGE_CONTENT` privilege intent to see the message content. [See the documentation](https://discord.com/developers/docs/topics/gateway#message-content-intent).

Version:0.0.4

Key:discord_bot-new-forum-thread-message

View on GitHub

Discord Bot Overview#

The Discord Bot API unlocks the power to interact with Discord users and channels programmatically, making it possible to automate messages, manage servers, and integrate with other services. With Pipedream's serverless platform, you can create complex workflows that respond to events in Discord, process data, and trigger actions in other apps. This opens up opportunities for community engagement, content moderation, analytics, and more, without the overhead of managing infrastructure.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import maxBy from "lodash.maxby";
import constants from "../../common/constants.mjs";
import common from "../common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "discord_bot-new-forum-thread-message",
  name: "New Forum Thread Message",
  description: "Emit new event for each forum thread message posted. Note that your bot must have the `MESSAGE_CONTENT` privilege intent to see the message content. [See the documentation](https://discord.com/developers/docs/topics/gateway#message-content-intent).",
  type: "source",
  version: "0.0.4",
  dedupe: "unique", // Dedupe events based on the Discord message ID
  props: {
    ...common.props,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    forumId: {
      propDefinition: [
        common.props.discord,
        "channelId",
        ({ guildId }) => ({
          guildId,
          allowedChannels: [
            constants.CHANNEL_TYPES.GUILD_FORUM,
          ],
        }),
      ],
      label: "Forum Id",
      description: "Select the forum you want to watch.",
    },
  },
  methods: {
    ...common.methods,
    getChannel(id) {
      return this.discord._makeRequest({
        path: `/channels/${id}`,
      });
    },
  },
  async run({ $ }) {
    // We store a cursor to the last message ID
    let lastMessageIDs = this._getLastMessageIDs();

    const { threads } = await this.discord.listThreads({
      $,
      guildId: this.guildId,
    });

    const forumThreads = threads.reduce((acc, curr) => {
      return curr.parent_id === this.forumId ?
        [
          ...acc,
          curr,
        ]
        : acc;
    }, []);

    // If this is our first time running this source,
    // get the last N messages, emit them, and checkpoint
    for (const channel of forumThreads) {
      let lastMessageID;
      let messages = [];
      const channelId = channel.id;

      if (!lastMessageIDs[channelId]) {
        messages = await this.discord.getMessages({
          $,
          channelId,
          params: {
            limit: 25,
          },
        });

        lastMessageID = messages.length
          ? maxBy(messages, (message) => message.id).id
          : 1;

      } else {
        let newMessages = [];

        do {
          newMessages = await this.discord.getMessages({
            $,
            channelId,
            params: {
              after: lastMessageIDs[channelId],
            },
          });

          messages = messages.concat(newMessages);

          lastMessageID = newMessages.length
            ? maxBy(newMessages, (message) => message.id).id
            : lastMessageIDs[channelId];
          lastMessageIDs[channelId] = lastMessageID;

        } while (newMessages.length);
      }

      // Set the new high water mark for the last message ID
      // for this channel
      lastMessageIDs[channelId] = lastMessageID;

      if (!messages.length) {
        console.log(`No new messages in thread ${channelId}`);
        continue;
      }

      console.log(`${messages.length} new messages in thread ${channelId}`);

      messages = await Promise.all(messages.map(async (message) => ({
        ...message,
        thread: await this.getChannel(message.channel_id),
      })));

      const { available_tags: availableTags = [] } = await this.getChannel(this.forumId);
      for (const message of messages) {
        if (!message.thread.applied_tags) {
          message.thread.applied_tags = [];
        }
        message.thread.applied_tags = message.thread.applied_tags.map((tagId) => ({
          ...availableTags.find(({ id }) => id === tagId),
        }));
      }

      messages.reverse().forEach((message) => {
        this.$emit(message, {
          id: message.id, // dedupes events based on this ID
          summary: `A new message with Id: ${message.id} was posted in forum thread ${channelId}.`,
          ts: Date.parse(message.timestamp),
        });
      });
    }

    // Set the last message ID for the next run
    this._setLastMessageIDs(lastMessageIDs);
  },
  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 Bot	`discord`	`app`	This component uses the Discord Bot app.
Guild	`guildId`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Forum Id	`forumId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

This app allows you to use the Discord API using your own Discord bot. If you don't want to use a custom bot, and you just need to use the Discord API, exit this screen and use the Discord app, instead.

If you want to use your own Discord bot, but haven't created one yet, see these instructions or watch this video. You'll need to add this bot to your server(s) to make successful API requests.

Once you've created your bot, you'll find the Bot token within the Bot section of your app. Enter that token below.

About Discord Bot#

Use this app to interact with the Discord API using a bot in your account

Action#

Analyze Text on Tisane Labs

Description:Analyze text for language, entities, sentiment, and other insights. [See the documentation](https://docs.tisane.ai/#561264c5-6dbe-4bde-aba3-7defe837989f)

Version:0.0.1

Key:tisane_labs-analyze-text

View on GitHub

Tisane Labs Overview#

The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.

Action Code#

import tisaneLabs from "../../tisane_labs.app.mjs";

export default {
  key: "tisane_labs-analyze-text",
  name: "Analyze Text",
  description: "Analyze text for language, entities, sentiment, and other insights. [See the documentation](https://docs.tisane.ai/#561264c5-6dbe-4bde-aba3-7defe837989f)",
  version: "0.0.1",
  type: "action",
  props: {
    tisaneLabs,
    language: {
      propDefinition: [
        tisaneLabs,
        "language",
      ],
    },
    content: {
      type: "string",
      label: "Content",
      description: "The content to analyze",
    },
    format: {
      propDefinition: [
        tisaneLabs,
        "format",
      ],
    },
    disableSpellcheck: {
      type: "boolean",
      label: "Disable Spellcheck",
      description: "Determines whether the automatic spellchecking is to be disabled. Default: `false`",
      default: false,
      optional: true,
    },
    lowercaseSpellcheckOnly: {
      type: "boolean",
      label: "Lowercase Spellcheck Only",
      description: "Determines whether the automatic spellchecking is only to be applied to words in lowercase. Default: `false`",
      default: false,
      optional: true,
    },
    minGenericFrequency: {
      type: "integer",
      label: "Minimum Generic Frequency",
      description: "Allows excluding more esoteric terms; The valid values are 0 thru 10.",
      min: 0,
      max: 10,
      optional: true,
    },
    subscope: {
      type: "boolean",
      label: "Subscope",
      description: "Enables sub-scope parsing, for scenarios like hashtag, URL parsing, and obfuscated content (e.g. ihateyou). Default: `false`",
      default: false,
      optional: true,
    },
    abuse: {
      type: "boolean",
      label: "Abuse",
      description: "Output instances of abusive conten. Default: `true`",
      default: true,
      optional: true,
    },
    sentiment: {
      type: "boolean",
      label: "Sentiment",
      description: "Output sentiment-bearing snippets. Default: `true`",
      default: true,
      optional: true,
    },
    documentSentiment: {
      type: "boolean",
      label: "Document Sentiment",
      description: "output document-level sentiment. Default: `false`",
      default: false,
      optional: true,
    },
    entities: {
      type: "boolean",
      label: "Entities",
      description: "Output entities. Default: `true`",
      default: true,
      optional: true,
    },
    topics: {
      type: "boolean",
      label: "Topics",
      description: "Output topics. Default: `true`",
      default: true,
      optional: true,
    },
    words: {
      type: "boolean",
      label: "Words",
      description: "Output the lexical chunks / words for every sentence. Default: `false`",
      default: false,
      optional: true,
    },
    fetchDefinitions: {
      type: "boolean",
      label: "Fetch Definitions",
      description: "Include definitions of the words in the output. Only relevant when the `words` setting is `true`. Default: `false",
      default: false,
      optional: true,
    },
    parses: {
      type: "boolean",
      label: "Parse",
      description: "Output parse forests of phrases",
      optional: true,
    },
    deterministic: {
      type: "boolean",
      label: "Deterministic",
      description: "Whether the n-best senses and n-best parses are to be output in addition to the detected sense. If `true`, only the detected sense will be output. Default: `true`",
      default: true,
      optional: true,
    },
    snippets: {
      type: "boolean",
      label: "Snippets",
      description: "Include the text snippets in the abuse, sentiment, and entities sections. Default: `false`",
      default: false,
      optional: true,
    },
    explain: {
      type: "boolean",
      label: "Explain",
      description: "If `true`, a reasoning for the abuse and sentiment snippets is provided when possible",
      optional: true,
    },
    featureStandard: {
      propDefinition: [
        tisaneLabs,
        "featureStandard",
      ],
    },
    topicStandard: {
      propDefinition: [
        tisaneLabs,
        "topicStandard",
      ],
    },
    sentimentAnalysisType: {
      propDefinition: [
        tisaneLabs,
        "sentimentAnalysisType",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.tisaneLabs.analyzeText({
      data: {
        language: this.language,
        content: this.content,
        settings: {
          format: this.format,
          disable_spellcheck: this.disableSpellcheck,
          lowercase_spellcheck_only: this.lowercaseSpellcheckOnly,
          min_generic_frequency: this.minGenericFrequency,
          subscope: this.subscope,
          abusse: this.abuse,
          sentiment: this.sentiment,
          document_sentiment: this.documentSentiment,
          entities: this.entities,
          topics: this.topics,
          words: this.words,
          fetch_definitions: this.fetchDefinitions,
          parses: this.parses,
          deterministic: this.deterministic,
          snippets: this.snippets,
          explain: this.explain,
          feature_standard: this.featureStandard,
          topic_standard: this.topicStandard,
          sentiment_analysis_type: this.sentimentAnalysisType,
        },
      },
      $,
    });

    if (response) {
      $.export("$summary", "Successfully analyzed text.");
    }

    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
Tisane Labs	`tisaneLabs`	`app`	This component uses the Tisane Labs app.
Language	`language`	`string`	Select a value from the drop down menu.
Content	`content`	`string`	The content to analyze
Format	`format`	`string`	Select a value from the drop down menu:`{ "label": "Review", "value": "review" }{ "label": "Dialog", "value": "dialog" }{ "label": "Shortpost", "value": "shortpost" }{ "label": "Longform", "value": "longform" }{ "label": "Proofread", "value": "proofread" }{ "label": "Alias", "value": "alias" }{ "label": "Search", "value": "search" }`
Disable Spellcheck	`disableSpellcheck`	`boolean`	Determines whether the automatic spellchecking is to be disabled. Default: `false`
Lowercase Spellcheck Only	`lowercaseSpellcheckOnly`	`boolean`	Determines whether the automatic spellchecking is only to be applied to words in lowercase. Default: `false`
Minimum Generic Frequency	`minGenericFrequency`	`integer`	Allows excluding more esoteric terms; The valid values are 0 thru 10.
Subscope	`subscope`	`boolean`	Enables sub-scope parsing, for scenarios like hashtag, URL parsing, and obfuscated content (e.g. ihateyou). Default: `false`
Abuse	`abuse`	`boolean`	Output instances of abusive conten. Default: `true`
Sentiment	`sentiment`	`boolean`	Output sentiment-bearing snippets. Default: `true`
Document Sentiment	`documentSentiment`	`boolean`	output document-level sentiment. Default: `false`
Entities	`entities`	`boolean`	Output entities. Default: `true`
Topics	`topics`	`boolean`	Output topics. Default: `true`
Words	`words`	`boolean`	Output the lexical chunks / words for every sentence. Default: `false`
Fetch Definitions	`fetchDefinitions`	`boolean`	Include definitions of the words in the output. Only relevant when the `words` setting is `true`. Default: `false
Parse	`parses`	`boolean`	Output parse forests of phrases
Deterministic	`deterministic`	`boolean`	Whether the n-best senses and n-best parses are to be output in addition to the detected sense. If `true`, only the detected sense will be output. Default: `true`
Snippets	`snippets`	`boolean`	Include the text snippets in the abuse, sentiment, and entities sections. Default: `false`
Explain	`explain`	`boolean`	If `true`, a reasoning for the abuse and sentiment snippets is provided when possible
Feature Standard	`featureStandard`	`string`	Select a value from the drop down menu:`{ "label": "Universal Dependencies tags", "value": "ud" }{ "label": "Penn treebank tags", "value": "penn" }{ "label": "Tisane native feature codes", "value": "native" }{ "label": "Tisane native feature descriptions", "value": "description" }`
Topic Standard	`topicStandard`	`string`	Select a value from the drop down menu:`{ "label": "IPTC topic taxonomy code", "value": "iptc_code" }{ "label": "IPTC topic taxonomy description", "value": "iptc_description" }{ "label": "IAB topic taxonomy code", "value": "iab_code" }{ "label": "IAB topic taxonomy description", "value": "iab_description" }{ "label": "Tisane domain description, coming from the family description", "value": "native" }`
Sentiment Analysis Type	`sentimentAnalysisType`	`string`	Select a value from the drop down menu:`{ "label": "Products and Services", "value": "products_and_services" }{ "label": "Entity", "value": "entity" }{ "label": "Creative Content Review", "value": "creative_content_review" }{ "label": "Political Essay", "value": "political_essay" }`

Action Authentication#

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

About Tisane Labs#

Home of cutting edge, explainable AI software that turns unstructured content into meaningful insights.

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Pipedream makes it easy to connect APIs for Tisane Labs, Discord Bot and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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