List Channels with Microsoft Teams 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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List Channels with the Microsoft Teams API

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Getting Started#

This integration creates a workflow with a Cradl AI trigger and Microsoft Teams action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Document Parsing Completed (Instant) trigger
1. Connect your Cradl AI account
2. Configure timer
3. Select a Workflow ID
Configure the List Channels action
1. Connect your Microsoft Teams account
2. Select a Team
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 Document Parsing Completed (Instant) on Cradl AI

Description:Emit new event when a document processing flow has completed.

Version:0.0.1

Key:cradl_ai-new-document-parsing-completed-instant

View on GitHub

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.

Label	Prop	Type	Description
Cradl AI	`cradlAi`	`app`	This component uses the Cradl AI app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Workflow ID	`workflowId`	`string`	Select 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#

List Channels on Microsoft Teams

Description:Lists all channels in a Microsoft Team. [See the docs here](https://docs.microsoft.com/en-us/graph/api/channel-list?view=graph-rest-1.0&tabs=http)

Version:0.0.6

Key:microsoft_teams-list-channels

View on GitHub

Microsoft Teams Overview#

The Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.

Action Code#

import microsoftTeams from "../../microsoft_teams.app.mjs";

export default {
  key: "microsoft_teams-list-channels",
  name: "List Channels",
  description: "Lists all channels in a Microsoft Team. [See the docs here](https://docs.microsoft.com/en-us/graph/api/channel-list?view=graph-rest-1.0&tabs=http)",
  type: "action",
  version: "0.0.6",
  props: {
    microsoftTeams,
    teamId: {
      propDefinition: [
        microsoftTeams,
        "team",
      ],
    },
  },
  async run({ $ }) {
    const channels = [];
    const paginator = this.microsoftTeams.paginate(this.microsoftTeams.listChannels, {
      teamId: this.teamId,
    });

    for await (const channel of paginator) {
      channels.push(channel);
    }

    $.export("$summary", `Successfully fetched ${channels?.length} ${channels?.length === 1
      ? "channel"
      : "channels"}`);

    return channels;
  },
};

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
Microsoft Teams	`microsoftTeams`	`app`	This component uses the Microsoft Teams app.
Team	`teamId`	`string`	Select a value from the drop down menu.

Action Authentication#

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

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

User.Reademailoffline_accessopenidprofileChat.ReadChat.ReadWriteChatMessage.SendChannel.ReadBasic.AllChannelMessage.SendTeam.ReadBasic.AllSchedule.Read.All

List Channels with Microsoft Teams API on New Document Parsing Completed (Instant) from Cradl AI API

Pipedream makes it easy to connect APIs for Microsoft Teams, Cradl AI 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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