Create Embedding with xAI API on Card Due Date Reminder from Pipedream API

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Card Due Date Reminder from the Pipedream API

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Getting Started#

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

Select this integration
Configure the Card Due Date Reminder trigger
1. Connect your Pipedream account
2. Connect your Pipedream account
3. Select a Board
4. Select a Time Before
Configure the Create Embedding action
1. Connect your xAI account
2. Select a Embedding Models
3. Configure Input
4. Optional- Configure Dimensions
5. Optional- Select a Encoding Format
6. Optional- Configure User
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#

Card Due Date Reminder on Pipedream

Description:Emit new event at a specified time before a card is due.

Version:0.1.1

Key:trello-card-due-date-reminder

View on GitHub

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 taskScheduler from "../../../pipedream/sources/new-scheduled-tasks/new-scheduled-tasks.mjs";
import trello from "../../trello.app.mjs";
import ms from "ms";
import constants from "../../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "trello-card-due-date-reminder",
  name: "Card Due Date Reminder", /* eslint-disable-line pipedream/source-name */
  description: "Emit new event at a specified time before a card is due.",
  version: "0.1.1",
  type: "source",
  dedupe: "unique",
  props: {
    pipedream: taskScheduler.props.pipedream,
    trello,
    db: "$.service.db",
    http: "$.interface.http",
    board: {
      propDefinition: [
        trello,
        "board",
      ],
    },
    timeBefore: {
      type: "string",
      label: "Time Before",
      description: "How far before the due time the event should trigger. For example, `5 minutes`, `10 minutes`, `1 hour`.",
      default: "5 minutes",
      options: constants.NOTIFICATION_TIMES,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.timeBefore) {
      props.timer = {
        type: "$.interface.timer",
        description: "Poll the API to schedule alerts for any newly created events",
        default: {
          intervalSeconds: ms(this.timeBefore) / 1000,
        },
      };
    }
    return props;
  },
  hooks: {
    async deactivate() {
      const ids = this._getScheduledEventIds();
      if (!ids?.length) {
        return;
      }
      for (const id of ids) {
        if (await this.deleteEvent({
          body: {
            id,
          },
        })) {
          console.log("Cancelled scheduled event");
        }
      }
      this._setScheduledEventIds();
    },
  },
  methods: {
    ...taskScheduler.methods,
    generateMeta({
      id, name: summary,
    }, now) {
      return {
        id,
        summary,
        ts: now,
      };
    },
    _getScheduledEventIds() {
      return this.db.get("scheduledEventIds");
    },
    _setScheduledEventIds(ids) {
      this.db.set("scheduledEventIds", ids);
    },
    _getScheduledCardIds() {
      return this.db.get("scheduledCardIds");
    },
    _setScheduledCardIds(ids) {
      this.db.set("scheduledCardIds", ids);
    },
    _hasDeployed() {
      const result = this.db.get("hasDeployed");
      this.db.set("hasDeployed", true);
      return result;
    },
    emitEvent(card, now) {
      const meta = this.generateMeta(card, now);
      this.$emit(card, meta);
    },
  },
  async run(event) {
    const now = event.timestamp * 1000;

    // self subscribe only on the first time
    if (!this._hasDeployed()) {
      await this.selfSubscribe();
    }

    let scheduledEventIds = this._getScheduledEventIds() || [];

    // incoming scheduled event
    if (event.$channel === this.selfChannel()) {
      const remainingScheduledEventIds = scheduledEventIds.filter((id) => id !== event["$id"]);
      this._setScheduledEventIds(remainingScheduledEventIds);
      this.emitEvent(event, now);
      return;
    }

    // schedule new events
    const scheduledCardIds = this._getScheduledCardIds() || {};
    const cards = await this.trello.getCards({
      boardId: this.board,
    });

    for (const card of cards) {
      const dueDate = card.due
        ? new Date(card.due)
        : null;
      if (!dueDate || dueDate.getTime() < Date.now()) {
        delete scheduledCardIds[card.id];
        continue;
      }

      const later = new Date(dueDate.getTime() - ms(this.timeBefore));

      if (scheduledCardIds[card.id]) {
        // reschedule if card's due date has changed
        if (card.due !== scheduledCardIds[card.id].dueDate) {
          await this.deleteEvent({
            body: {
              id: scheduledCardIds[card.id].eventId,
            },
          });
          scheduledEventIds = scheduledEventIds
            .filter((id) => id !== scheduledCardIds[card.id].eventId);
        } else {
          continue;
        }
      }

      const scheduledEventId = this.emitScheduleEvent(card, later);
      scheduledEventIds.push(scheduledEventId);
      scheduledCardIds[card.id] = {
        eventId: scheduledEventId,
        dueDate: card.due,
      };
    }
    this._setScheduledEventIds(scheduledEventIds);
    this._setScheduledCardIds(scheduledCardIds);
  },
  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.

Label	Prop	Type	Description
Pipedream	`pipedream`	`app`	This component uses the Pipedream app.
Pipedream	`trello`	`app`	This component uses the Pipedream app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.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.
Board	`board`	`string`	Select a value from the drop down menu.
Time Before	`timeBefore`	`string`	Select a value from the drop down menu:`5 minutes10 minutes15 minutes30 minutes1 hour2 hours3 hours6 hours12 hours1 day2 days3 days1 week`

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#

Create Embedding on xAI

Description:Create an embedding vector representation corresponding to the input text. [See the documentation](https://docs.x.ai/api/endpoints#create-embeddings)

Version:0.0.2

Key:x_ai-create-embeddings

View on GitHub

Action Code#

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

export default {
  key: "x_ai-create-embeddings",
  name: "Create Embedding",
  description: "Create an embedding vector representation corresponding to the input text. [See the documentation](https://docs.x.ai/api/endpoints#create-embeddings)",
  version: "0.0.2",
  type: "action",
  props: {
    app,
    embeddingModel: {
      propDefinition: [
        app,
        "embeddingModel",
      ],
    },
    input: {
      propDefinition: [
        app,
        "input",
      ],
    },
    dimensions: {
      propDefinition: [
        app,
        "dimensions",
      ],
    },
    encodingFormat: {
      propDefinition: [
        app,
        "encodingFormat",
      ],
    },
    user: {
      propDefinition: [
        app,
        "user",
      ],
    },
  },

  async run({ $ }) {
    const response = await this.app.createEmbeddings({
      $,
      data: {
        dimensions: this.dimensions,
        encoding_format: this.encodingFormat,
        input: this.input,
        model: this.embeddingModel,
        user: this.user,
      },
    });
    $.export("$summary", "Successfully created embedding");
    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
xAI	`app`	`app`	This component uses the xAI app.
Embedding Models	`embeddingModel`	`string`	Select a value from the drop down menu.
Input	`input`	`string[]`	Text input to be converted into an embedding
Dimensions	`dimensions`	`integer`	The number of dimensions the resulting output embeddings should have
Encoding Format	`encodingFormat`	`string`	Select a value from the drop down menu:`floatbase64`
User	`user`	`string`	A unique identifier representing your end-user, which can help xAI to monitor and detect abuse

Action Authentication#

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

About xAI#

xAI is an AI company with the mission of advancing scientific discovery and gaining a deeper understanding of our universe.

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