← Cradl AI + Supabase integrations

Delete Row with Supabase 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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Delete Row with the Supabase API
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Getting Started

This integration creates a workflow with a Cradl AI trigger and Supabase 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 Delete Row action
    1. Connect your Supabase account
    2. Configure Table
    3. Configure Column
    4. Configure Value
  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:Deletes row(s) in a database. [See the docs here](https://supabase.com/docs/reference/javascript/delete)
Version:0.1.2
Key:supabase-delete-row

Supabase Overview

Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.

Action Code

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

export default {
  key: "supabase-delete-row",
  name: "Delete Row",
  type: "action",
  version: "0.1.2",
  description: "Deletes row(s) in a database. [See the docs here](https://supabase.com/docs/reference/javascript/delete)",
  props: {
    supabase,
    table: {
      propDefinition: [
        supabase,
        "table",
      ],
      description: "Name of the table to delete row(s) from",
    },
    column: {
      propDefinition: [
        supabase,
        "column",
      ],
      description: "Search column to find row(s) to delete",
    },
    value: {
      propDefinition: [
        supabase,
        "value",
      ],
      description: "Value of the search column in the row(s) to delete",
    },
  },
  async run({ $ }) {
    const response = await this.supabase.deleteRow(this.table, this.column, this.value);
    $.export("$summary", `Successfully deleted ${response.length} row(s) from table ${this.table}`);
    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
SupabasesupabaseappThis component uses the Supabase app.
Tabletablestring

Name of the table to delete row(s) from

Columncolumnstring

Search column to find row(s) to delete

Valuevaluestring

Value of the search column in the row(s) to delete

Action Authentication

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

Supabase provides a Service Key to get started. You can find the service_role in the API Settings page.

Finding the Supabase subdomain

About Supabase

Supabase is an open source Firebase alternative.

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