← Pipedream + astica.ai integrations

Describe Image with astica.ai API on New Scheduled Tasks from Pipedream API

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New Scheduled Tasks from the Pipedream API
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Describe Image with the astica.ai API
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Developers Pipedream

Getting Started

This integration creates a workflow with a Pipedream trigger and astica.ai 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 Scheduled Tasks trigger
    1. Connect your Pipedream account
    2. Optional- Configure Secret
  3. 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
  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:Exposes an HTTP API for scheduling messages to be emitted at a future time
Version:0.3.1
Key:pipedream-new-scheduled-tasks

Pipedream Overview

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

  • An application that can extract data from a database, transform it, and then
    load it into another database.
  • An application that can monitor a data source for changes, and then trigger a
    workflow in response to those changes.
  • An application that can poll an API for new data, and then process that data
    in real-time.

Trigger Code

import pipedream from "../../pipedream.app.mjs";
import sampleEmit from "./test-event.mjs";
import { uuid } from "uuidv4";

export default {
  key: "pipedream-new-scheduled-tasks",
  name: "New Scheduled Tasks",
  type: "source",
  description:
    "Exposes an HTTP API for scheduling messages to be emitted at a future time",
  version: "0.3.1",
  dedupe: "unique", // Dedupe on a UUID generated for every scheduled task
  props: {
    pipedream,
    secret: {
      type: "string",
      secret: true,
      label: "Secret",
      optional: true,
      description:
        "**Optional but recommended**: if you enter a secret here, you must pass this value in the `x-pd-secret` HTTP header when making requests",
    },
    http: {
      label: "Endpoint",
      description: "The endpoint where you'll send task scheduler requests",
      type: "$.interface.http",
      customResponse: true,
    },
    db: "$.service.db",
  },
  methods: {
    // To schedule future emits, we emit to the selfChannel of the component
    selfChannel() {
      return "self";
    },
    // Queue for future emits that haven't yet been delivered
    queuedEventsChannel() {
      return "$in";
    },
    httpRespond({
      status, body,
    }) {
      this.http.respond({
        headers: {
          "content-type": "application/json",
        },
        status,
        body,
      });
    },
    async selfSubscribe() {
      // Subscribe the component to itself. We do this here because even in
      // the activate hook, the component isn't available to take subscriptions.
      // Scheduled tasks are sent to the self channel, which emits the message at
      // the specified delivery_ts to this component.
      const isSubscribedToSelf = this.db.get("isSubscribedToSelf");
      if (!isSubscribedToSelf) {
        const componentId = process.env.PD_COMPONENT;
        const selfChannel = this.selfChannel();
        console.log(`Subscribing to ${selfChannel} channel for event source`);
        console.log(
          await this.pipedream.subscribe(componentId, componentId, selfChannel),
        );
        this.db.set("isSubscribedToSelf", true);
      }
    },
    validateEventBody(event, operation) {
      const errors = [];

      // Secrets are optional, so we first check if the user configured
      // a secret, then check its value against the prop (validation below)
      if (this.secret && event.headers["x-pd-secret"] !== this.secret) {
        errors.push(
          "Secret on incoming request doesn't match the configured secret",
        );
      }

      if (operation === "schedule") {
        const {
          timestamp,
          message,
        } = event.body;
        // timestamp should be an ISO 8601 string. Parse and check for validity below.
        const epoch = Date.parse(timestamp);

        if (!timestamp) {
          errors.push(
            "No timestamp included in payload. Please provide an ISO8601 timestamp in the 'timestamp' field",
          );
        }
        if (timestamp && !epoch) {
          errors.push("Timestamp isn't a valid ISO 8601 string");
        }
        if (!message) {
          errors.push("No message passed in payload");
        }
      }

      return errors;
    },
    scheduleTask(event) {
      const errors = this.validateEventBody(event, "schedule");
      let status, body;

      if (errors.length) {
        console.log(errors);
        status = 400;
        body = {
          errors,
        };
      } else {
        const id = this.emitScheduleEvent(event.body, event.body.timestamp);
        status = 200;
        body = {
          msg: "Successfully scheduled task",
          id,
        };
      }

      this.httpRespond({
        status,
        body,
      });
    },
    emitScheduleEvent(event, timestamp) {
      const selfChannel = this.selfChannel();
      const epoch = Date.parse(timestamp);
      const $id = uuid();

      console.log(`Scheduled event to emit on: ${new Date(epoch)}`);

      this.$emit(
        {
          ...event,
          $channel: selfChannel,
          $id,
        },
        {
          name: selfChannel,
          id: $id,
          delivery_ts: epoch,
        },
      );

      return $id;
    },
    async cancelTask(event) {
      const errors = this.validateEventBody(event, "cancel");
      let status, msg;

      if (errors.length) {
        console.log(errors);
        status = 400;
        msg = "Secret on incoming request doesn't match the configured secret";
      } else {
        try {
          const id = event.body.id;
          const isCanceled = await this.deleteEvent(event);
          if (isCanceled) {
            status = 200;
            msg = `Cancelled scheduled task for event ${id}`;
          } else {
            status = 404;
            msg = `No event with ${id} found`;
          }
        } catch (error) {
          console.log(error);
          status = 500;
          msg = "Failed to schedule task. Please see the logs";
        }
      }

      this.httpRespond({
        status,
        body: {
          msg,
        },
      });
    },
    async deleteEvent(event) {
      const componentId = process.env.PD_COMPONENT;
      const inChannel = this.queuedEventsChannel();

      // The user must pass a scheduled event UUID they'd like to cancel
      // We lookup the event by ID and delete it
      const { id } = event.body;

      // List events in the $in channel - the queue of scheduled events, to be emitted in the future
      const events = await this.pipedream.listEvents(
        componentId,
        inChannel,
      );
      console.log("Events: ", events);

      // Find the event in the list by id
      const eventToCancel = events.data.find((e) => {
        const { metadata } = e;
        return metadata.id === id;
      });

      console.log("Event to cancel: ", eventToCancel);

      if (!eventToCancel) {
        console.log(`No event with ${id} found`);
        return false;
      }

      // Delete the event
      await this.pipedream.deleteEvent(
        componentId,
        eventToCancel.id,
        inChannel,
      );
      return true;
    },
    emitEvent(event, summary) {
      // Delete the channel name and id from the incoming event, which were used only as metadata
      const id = event.$id;
      delete event.$channel;
      delete event.$id;

      this.$emit(event, {
        summary: summary ?? JSON.stringify(event),
        id,
        ts: +new Date(),
      });
    },
  },
  async run(event) {
    await this.selfSubscribe();

    const { path } = event;
    if (path === "/schedule") {
      this.scheduleTask(event);
    } else if (path === "/cancel") {
      await this.cancelTask(event);
    } else if (event.$channel === this.selfChannel()) {
      this.emitEvent(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
PipedreampipedreamappThis component uses the Pipedream app.
Secretsecretstring

Optional but recommended: if you enter a secret here, you must pass this value in the x-pd-secret HTTP header when making requests

N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.

Trigger Authentication

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

About Pipedream

Integration platform for developers

Action

Description:Analyze an image with Astica AI [See the documentation](https://astica.ai/vision/documentation/)
Version:0.0.1
Key:astica_ai-describe-image

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.

LabelPropTypeDescription
astica.aiasticaAiappThis component uses the astica.ai app.
Imageimagestring

The URL of the image to analyze

Describedescribeboolean

Returns a caption which describes the image.

GPTgptboolean

Uses the result of asticaVision to create a GPT description. Using this parameter increases the processing time of your API request. Be Patient.

GPT Detailedgpt_detailedboolean

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.

Facesfacesboolean

Returns the age and gender of all faces detected in the image.

Moderatemoderateboolean

Returns a calculated value for different types of sensitive materials found in the image.

Tagstagsboolean

Returns a list of descriptive terms which describe the image.

Brandsbrandsboolean

Returns a list of brands that have been identified. For example, a logo on a cup, or a t-shirt.

Celebritiescelebritiesboolean

Returns a list of celebrities and other known persons that have been detected in the photo.

Landmarkslandmarksboolean

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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