Describe Image with astica.ai API on New Thread Message from Discord Bot API

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New Thread Message from the Discord Bot API

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Describe Image with the astica.ai API

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Getting Started#

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

Select this integration
Configure the New Thread Message trigger
1. Connect your Discord Bot account
2. Select a Guild
3. Configure timer
Configure the Describe Image action
1. Connect your astica.ai account
2. Configure Image
3. Optional- Configure Describe
4. Optional- Configure GPT
5. Optional- Configure GPT Detailed
6. Optional- Configure Faces
7. Optional- Configure Moderate
8. Optional- Configure Tags
9. Optional- Configure Brands
10. Optional- Configure Celebrities
11. Optional- Configure Landmarks
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 Thread Message on Discord Bot

Description:Emit new event for each thread message posted.

Version:0.0.5

Key:discord_bot-new-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 common from "../common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "discord_bot-new-thread-message",
  name: "New Thread Message",
  description: "Emit new event for each thread message posted.",
  type: "source",
  version: "0.0.5",
  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,
      },
    },
  },
  async run({ $ }) {
    // We store a cursor to the last message ID
    let lastMessageIDs = this._getLastMessageIDs();

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

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

      if (!lastMessageIDs[channelId]) {
        messages = await this.discord.getMessages({
          $,
          channelId,
          params: {
            limit: 100,
          },
        });

        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.reverse().forEach((message) => {
        if (!message.content) {
          return;
        }
        this.$emit(message, {
          id: message.id, // dedupes events based on this ID
          summary: `A new message with Id: ${message.id} was posted in 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`

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#

Describe Image on astica.ai

Description:Analyze an image with Astica AI [See the documentation](https://astica.ai/vision/documentation/)

Version:0.0.1

Key:astica_ai-describe-image

View on GitHub

astica.ai Overview#

The Astica.ai API affords developers the ability to tap into advanced natural language processing (NLP) capabilities. By integrating this API into Pipedream workflows, you can automate text analysis, summarization, sentiment analysis, and more, leveraging the AI-powered insights to enrich applications or streamline processes. Pipedream’s serverless platform makes it painless to set up event-driven workflows that respond to various triggers and manipulate or move data between apps with no need for infrastructure management.

Action Code#

import asticaAi from "../../astica_ai.app.mjs";

export default {
  name: "Describe Image",
  description: "Analyze an image with Astica AI [See the documentation](https://astica.ai/vision/documentation/)",
  key: "astica_ai-describe-image",
  version: "0.0.1",
  type: "action",
  props: {
    asticaAi,
    image: {
      type: "string",
      label: "Image",
      description: "The URL of the image to analyze",
    },
    describe: {
      type: "boolean",
      label: "Describe",
      description: "Returns a caption which describes the image.",
      optional: true,
      default: false,
    },
    gpt: {
      type: "boolean",
      label: "GPT",
      description: "Uses the result of asticaVision to create a GPT description. Using this parameter increases the processing time of your API request. Be Patient.",
      optional: true,
      default: false,
    },
    gpt_detailed: {
      type: "boolean",
      label: "GPT Detailed",
      description: "Uses the result of asticaVision to create a GPT-4 description. Using this parameter greatly increases the processing time of your API request. Please be patient.",
      optional: true,
      default: false,
    },
    faces: {
      type: "boolean",
      label: "Faces",
      description: "Returns the age and gender of all faces detected in the image.",
      optional: true,
      default: false,
    },
    moderate: {
      type: "boolean",
      label: "Moderate",
      description: "Returns a calculated value for different types of sensitive materials found in the image.",
      optional: true,
      default: false,
    },
    tags: {
      type: "boolean",
      label: "Tags",
      description: "Returns a list of descriptive terms which describe the image.",
      optional: true,
      default: false,
    },
    brands: {
      type: "boolean",
      label: "Brands",
      description: "Returns a list of brands that have been identified. For example, a logo on a cup, or a t-shirt.",
      optional: true,
      default: false,
    },
    celebrities: {
      type: "boolean",
      label: "Celebrities",
      description: "Returns a list of celebrities and other known persons that have been detected in the photo.",
      optional: true,
      default: false,
    },
    landmarks: {
      type: "boolean",
      label: "Landmarks",
      description: "Returns a list of known locations and landmarks found in the photo. For example, the Eiffel Tower.",
      optional: true,
      default: false,
    },
  },
  async run({ $ }) {
    const {
      asticaAi,
      image,
      ...otherProps
    } = this;

    const visionParams = [];
    for (const [
      key,
      value,
    ] of Object.entries(otherProps)) {
      if (value) {
        visionParams.push(key);
      }
    }

    const response = await asticaAi.describeImage({
      data: {
        input: image,
        visionParams: visionParams.join(","),
        modelVersion: "2.1_full",
        gpt_prompt: "",
        gpt_length: "90",
      },
      $,
    });

    if (response?.status === "success") {
      $.export("$summary", "Successfully analyzed image.");
    }

    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
astica.ai	`asticaAi`	`app`	This component uses the astica.ai app.
Image	`image`	`string`	The URL of the image to analyze
Describe	`describe`	`boolean`	Returns a caption which describes the image.
GPT	`gpt`	`boolean`	Uses the result of asticaVision to create a GPT description. Using this parameter increases the processing time of your API request. Be Patient.
GPT Detailed	`gpt_detailed`	`boolean`	Uses the result of asticaVision to create a GPT-4 description. Using this parameter greatly increases the processing time of your API request. Please be patient.
Faces	`faces`	`boolean`	Returns the age and gender of all faces detected in the image.
Moderate	`moderate`	`boolean`	Returns a calculated value for different types of sensitive materials found in the image.
Tags	`tags`	`boolean`	Returns a list of descriptive terms which describe the image.
Brands	`brands`	`boolean`	Returns a list of brands that have been identified. For example, a logo on a cup, or a t-shirt.
Celebrities	`celebrities`	`boolean`	Returns a list of celebrities and other known persons that have been detected in the photo.
Landmarks	`landmarks`	`boolean`	Returns a list of known locations and landmarks found in the photo. For example, the Eiffel Tower.

Action Authentication#

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

About astica.ai#

Integrate artificial intelligence into your applications without deploying models and no infra.

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