← Cradl AI + Pipedream integrations

Get Component with Pipedream API on New Document Parsing Completed (Instant) from Cradl AI API

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New Document Parsing Completed (Instant) from the Cradl AI API
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Developers Pipedream

Getting Started

This integration creates a workflow with a Cradl AI trigger and Pipedream 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 Document Parsing Completed (Instant) trigger
    1. Connect your Cradl AI account
    2. Configure timer
    3. Select a Workflow ID
  3. Configure the Get Component action
    1. Connect your Pipedream account
    2. Configure Component Key
    3. Optional- Configure Pipedream Registry
  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 document processing flow has completed.
Version:0.0.1
Key:cradl_ai-new-document-parsing-completed-instant

Cradl AI Overview

Cradl AI is a powerful tool for creating customized machine learning models without extensive coding knowledge. It specializes in processing and understanding various forms of data, including text and images. Utilizing the Cradl AI API on Pipedream, developers can automate workflows involving data analysis, enhance data-driven decision-making, and integrate AI capabilities into applications seamlessly. This opens up opportunities for dynamic interactions with other services, streamlining operations and enhancing user experiences.

Trigger Code

import cradlAi from "../../cradl_ai.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "cradl_ai-new-document-parsing-completed-instant",
  name: "New Document Parsing Completed (Instant)",
  description: "Emit new event when a document processing flow has completed.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    cradlAi,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    workflowId: {
      propDefinition: [
        cradlAi,
        "workflowId",
      ],
    },
  },
  hooks: {
    async deploy() {
      await this.processEvent(25);
    },
  },
  methods: {
    _getLastTs() {
      return this.db.get("lastTs") || 0;
    },
    _setLastTs(lastTs) {
      this.db.set("lastTs", lastTs);
    },
    emitEvent(item) {
      const meta = this.generateMeta(item);
      this.$emit(item, meta);
    },
    generateMeta(item) {
      return {
        id: item.executionId,
        summary: `Execution completed with ID ${item.executionId}`,
        ts: Date.parse(item.endTime),
      };
    },
    async processEvent(max) {
      const lastTs = this._getLastTs();
      const results = this.cradlAi.paginate({
        resourceFn: this.cradlAi.listExecutions,
        args: {
          workflowId: this.workflowId,
          params: {
            order: "descending",
            sortBy: "endTime",
            status: [
              "completed",
            ],
          },
        },
        resourceType: "executions",
        max,
      });
      const executions = [];
      for await (const item of results) {
        const ts = Date.parse(item.endTime);
        if (ts >= lastTs) {
          executions.push(item);
        } else {
          break;
        }
      }
      if (!executions.length) {
        return;
      }
      this._setLastTs(Date.parse(executions[0].endTime));
      executions.reverse().forEach((item) => this.emitEvent(item));
    },
  },
  async run() {
    await this.processEvent();
  },
};

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
Cradl AIcradlAiappThis component uses the Cradl AI app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Workflow IDworkflowIdstringSelect a value from the drop down menu.

Trigger Authentication

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

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

api.lucidtech.ai/users:read

About Cradl AI

Automate internal document processes with AI.

Action

Description:Get info for a published component. [See docs](https://pipedream.com/docs/api/rest/#get-a-component)
Version:0.1.0
Key:pipedream-get-component

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.

Action Code

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

export default {
  key: "pipedream-get-component",
  name: "Get Component",
  description: "Get info for a published component. [See docs](https://pipedream.com/docs/api/rest/#get-a-component)",
  version: "0.1.0",
  type: "action",
  props: {
    pipedream,
    componentKey: {
      propDefinition: [
        pipedream,
        "componentKey",
      ],
    },
    globalRegistry: {
      type: "boolean",
      label: "Pipedream Registry",
      description: "Defaults to `true`. If set to `true`, this will fetch component data from the public Pipedream registry. Set to `false` to search your private published components.",
      optional: true,
      default: true,
    },
  },
  async run({ $ }) {
    const { data } = await this.pipedream.getComponent(this.componentKey, this.globalRegistry);

    if (data) {
      $.export("$summary", `Succesfully fetched ${this.componentKey}`);
      return data;
    }

    console.log(`${this.componentKey} was not found`);
  },
};

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
PipedreampipedreamappThis component uses the Pipedream app.
Component KeycomponentKeystring

The component key (identified by the key property within the component's source code) you'd like to fetch metadata for (example: github-new-commit-instant)

Pipedream RegistryglobalRegistryboolean

Defaults to true. If set to true, this will fetch component data from the public Pipedream registry. Set to false to search your private published components.

Action 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

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