Add Request to Queue with fal.ai API on New Channel from Microsoft Teams API

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Trigger workflow on

New Channel from the Microsoft Teams API

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Add Request to Queue with the fal.ai API

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Getting Started#

This integration creates a workflow with a Microsoft Teams trigger and fal.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 Channel trigger
1. Connect your Microsoft Teams account
2. Configure Polling interval
3. Select a Team
Configure the Add Request to Queue action
1. Connect your fal.ai account
2. Configure App ID
3. Configure Data
4. Optional- Configure Rerun Enabled
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 Channel on Microsoft Teams

Description:Emit new event when a new channel is created within a team

Version:0.0.7

Key:microsoft_teams-new-channel

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.

Trigger Code#

import base from "../common/base.mjs";

export default {
  ...base,
  key: "microsoft_teams-new-channel",
  name: "New Channel",
  description: "Emit new event when a new channel is created within a team",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  props: {
    ...base.props,
    team: {
      propDefinition: [
        base.props.microsoftTeams,
        "team",
      ],
    },
  },
  methods: {
    ...base.methods,
    async getResources(lastCreated) {
      return this.getNewPaginatedResources(
        this.microsoftTeams.listChannels,
        {
          teamId: this.team,
        },
        lastCreated,
      );
    },
    generateMeta(channel) {
      return {
        id: channel.id,
        summary: channel.displayName,
        ts: Date.parse(channel.createdDateTime),
      };
    },
  },
};

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
Microsoft Teams	`microsoftTeams`	`app`	This component uses the Microsoft Teams app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the YouTube API on this schedule
Team	`team`	`string`	Select a value from the drop down menu.

Trigger 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.Read.AllChannelMessage.SendTeam.ReadBasic.AllSchedule.Read.All

About Microsoft Teams#

Microsoft Teams has communities, events, chats, channels, meetings, storage, tasks, and calendars in one place.

Action#

Add Request to Queue on fal.ai

Description:Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. [See the documentation](https://fal.ai/docs/model-endpoints/queue#queue-endpoints).

Version:0.0.1

Key:fal_ai-add-request-to-queue

View on GitHub

Action Code#

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

export default {
  key: "fal_ai-add-request-to-queue",
  name: "Add Request to Queue",
  description: "Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. [See the documentation](https://fal.ai/docs/model-endpoints/queue#queue-endpoints).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    appId: {
      propDefinition: [
        app,
        "appId",
      ],
    },
    data: {
      type: "object",
      label: "Data",
      description: "Additional data to include with the request. [See the documentation](https://fal.ai/models/fal-ai/lora/api#schema-input) for more input fields.",
      default: {
        model_name: "stabilityai/stable-diffusion-xl-base-1.0",
        prompt: "Photo of a european medieval 40 year old queen, silver hair, highly detailed face, detailed eyes, head shot, intricate crown, age spots, wrinkles",
      },
    },
    reRunEnabled: {
      type: "boolean",
      label: "Rerun Enabled",
      description: "Enable the step to rerun to retrieve the request response. [See the documentation](https://pipedream.com/docs/code/nodejs/rerun/#flowrerun).",
      optional: true,
      reloadProps: true,
      default: false,
    },
  },
  additionalProps() {
    if (this.reRunEnabled) {
      return {
        reRunTimeoutInSecs: {
          type: "integer",
          label: "Rerun Timeout",
          description: "The time in seconds to wait before rerunning the step to retrieve the request response. Eg. `30`. [See the documentation](https://pipedream.com/docs/code/nodejs/rerun/#flowrerun).",
          optional: true,
          min: 10,
        },
      };
    }

    return {
      falWebhook: {
        type: "string",
        label: "Webhook URL",
        description: "The URL to receive updates via webhook.",
        optional: true,
      },
    };
  },
  methods: {
    addToQueue({
      appId, ...args
    } = {}) {
      return this.app.post({
        path: `/${appId}`,
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      context: {
        run: {
          runs,
          callback_request: callbackRequest,
        },
      },
    } = $;

    const {
      app,
      addToQueue,
      appId,
      data,
      falWebhook,
      reRunEnabled,
      reRunTimeoutInSecs,
    } = this;

    if (!reRunEnabled) {
      const response = await addToQueue({
        $,
        appId,
        params: {
          fal_webhook: falWebhook,
        },
        data,
      });

      $.export("$summary", `Successfully added the request to the queue with ID \`${response.request_id}\`.`);
      return response;
    }

    if (runs === 1) {
      const timeout = 1000 * (reRunTimeoutInSecs || 10);
      const { resume_url: resumeUrl } = $.flow.rerun(timeout, null, 1);

      return addToQueue({
        $,
        appId,
        params: {
          fal_webhook: resumeUrl,
        },
        data,
      });
    }

    const response = await app.getRequestResponse({
      $,
      appId,
      requestId: callbackRequest.body?.request_id,
    });

    $.export("$summary", "Successfully retrieved the request response.");
    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
fal.ai	`app`	`app`	This component uses the fal.ai app.
App ID	`appId`	`string`	The unique identifier for the app. Eg. `lora`.
Data	`data`	`object`	Additional data to include with the request. See the documentation for more input fields.
Rerun Enabled	`reRunEnabled`	`boolean`	Enable the step to rerun to retrieve the request response. See the documentation.

Add Request to Queue with fal.ai API on New Channel from Microsoft Teams API

Pipedream makes it easy to connect APIs for fal.ai, Microsoft Teams 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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