Accept Completion with Sapling.ai API on New DynamoDB Stream Event from AWS API

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New DynamoDB Stream Event from the AWS API

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Accept Completion with the Sapling.ai API

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Getting Started#

This integration creates a workflow with a AWS trigger and Sapling.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 DynamoDB Stream Event trigger
1. Connect your AWS account
2. Configure timer
3. Select a AWS Region
4. Select a Stream
Configure the Accept Completion action
1. Connect your Sapling.ai account
2. Configure Completion ID
3. Optional- Configure Session ID
4. Configure Query
5. Configure Completion
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 DynamoDB Stream Event on AWS

Description:Emit new event when a DynamoDB stream receives new events. [See the docs here](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_streams_GetRecords.html)

Version:0.0.2

Key:aws-new-dynamodb-stream-event

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code#

import common from "../../common/common-dynamodb-streams.mjs";

export default {
  ...common,
  key: "aws-new-dynamodb-stream-event",
  name: "New DynamoDB Stream Event",
  description: "Emit new event when a DynamoDB stream receives new events. [See the docs here](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_streams_GetRecords.html)",
  type: "source",
  version: "0.0.2",
  dedupe: "unique",
  props: {
    ...common.props,
    stream: {
      type: "string",
      label: "Stream",
      description: "ARN of the Stream to watch for new events",
      async options({ prevContext }) {
        const {
          streams,
          lastEvaluatedStreamArn,
        } = await this.listEnabledStreams({
          ExclusiveStartStreamArn: prevContext.lastEvaluatedStreamArn,
        });
        const options = streams.map((stream) => ({
          label: `${stream.TableName} - Created ${stream.StreamLabel}`,
          value: stream.StreamArn,
        }));
        return {
          options,
          context: {
            lastEvaluatedStreamArn,
          },
        };
      },
    },
  },
  hooks: {
    async deploy() {
      const { StreamDescription: streamDescription } = await this.listShards({
        StreamArn: this.stream,
      });
      const shardId = streamDescription.Shards[streamDescription.Shards.length - 1].ShardId;
      const { ShardIterator: shardIterator } = await this.getShardIterator({
        ShardId: shardId,
        StreamArn: this.stream,
        ShardIteratorType: "LATEST",
      });
      this._setShardIterator(shardIterator);
    },
  },
  methods: {
    ...common.methods,
    _getShardIterator() {
      return this.db.get("shardIterator");
    },
    _setShardIterator(shardIterator) {
      this.db.set("shardIterator", shardIterator);
    },
    generateMeta({
      eventID, eventName, dynamodb,
    }) {
      return {
        id: eventID,
        summary: `New ${eventName} event`,
        ts: Date.parse(dynamodb.ApproximateCreationDateTime),
      };
    },
  },
  async run() {
    if (!(await this.isStreamEnabled(this.stream))) {
      throw new Error("Stream is no longer enabled.");
    }

    const shardIterator = this._getShardIterator();

    const {
      Records: records, NextShardIterator: nextShardIterator,
    } = await this.getRecords({
      ShardIterator: shardIterator,
    });

    for (const record of records) {
      const meta = this.generateMeta(record);
      this.$emit(record, meta);
    }

    this._setShardIterator(nextShardIterator);
  },
};

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
AWS	`aws`	`app`	This component uses the AWS app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
AWS Region	`region`	`string`	Select a value from the drop down menu.
Stream	`stream`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action#

Accept Completion on Sapling.ai

Description:Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful. [See the documentation here](https://sapling.ai/docs/api/autocomplete#accept-completion-post).

Version:0.0.1

Key:sapling_ai-accept-completion

View on GitHub

Sapling.ai Overview#

Sapling.ai offers an AI-driven writing assistant that can help you write better and faster by providing grammar and style suggestions. With its API, you can automate text analysis and correction processes within Pipedream workflows. By integrating Sapling.ai's API in Pipedream, you can create powerful automations that enhance writing quality across various applications, from customer support messages to content creation.

Action Code#

import app from "../../sapling_ai.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "sapling_ai-accept-completion",
  name: "Accept Completion",
  description: "Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful. [See the documentation here](https://sapling.ai/docs/api/autocomplete#accept-completion-post).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    completionId: {
      propDefinition: [
        app,
        "completionId",
      ],
    },
    sessionId: {
      optional: true,
      propDefinition: [
        app,
        "sessionId",
      ],
    },
    query: {
      propDefinition: [
        app,
        "query",
      ],
    },
    completion: {
      type: "string",
      label: "Completion",
      description: "The completion text to accept.",
    },
  },
  methods: {
    acceptCompletion({
      completionId, ...args
    } = {}) {
      return this.app.post({
        path: `/complete/${completionId}/accept`,
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      completionId,
      sessionId: id,
      query,
      completion,
    } = this;

    const sessionId =  utils.generateSessionId(id);

    const response = await this.acceptCompletion({
      step,
      completionId,
      data: {
        session_id: sessionId,
        context: {
          query,
          completion,
        },
      },
    });

    step.export("$summary", `Successfully accepted completion with ID ${completionId}.`);

    return {
      ...response,
      sessionId,
    };
  },
};

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
Sapling.ai	`app`	`app`	This component uses the Sapling.ai app.
Completion ID	`completionId`	`string`	ID of completion or hash returned from a Request Completion.
Session ID	`sessionId`	`string`	Unique name or UUID of document or portion of text that is being checked.
Query	`query`	`string`	Text that should be autocompleted.
Completion	`completion`	`string`	The completion text to accept.

Action Authentication#

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

To retrieve your API Key,

Navigate to your Sapling.AI account and sign in
Go to “User” > “Settings”> “API”

About Sapling.ai #

Language models for enterprise applications.

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Pipedream makes it easy to connect APIs for Sapling.ai , AWS 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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