DynamoDB - Execute Statement with AWS API on New Application Data Collected from Drimify API

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New Application Data Collected from the Drimify API

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DynamoDB - Execute Statement with the AWS API

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Getting Started#

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

Select this integration
Configure the New Application Data Collected trigger
1. Connect your Drimify account
2. Configure timer
3. Select one or more Application ID
Configure the DynamoDB - Execute Statement action
1. Connect your AWS account
2. Select a AWS Region
3. Configure Statement
4. Optional- Configure Parameters
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 Application Data Collected on Drimify

Description:Emit new event when application data has been collected. [See the documentation](https://endpoint.drimify.com/api/docs?ui=re_doc#tag/AppDataCollection/operation/api_app_data_collections_get_collection)

Version:0.0.1

Key:drimify-new-application-data

View on GitHub

Drimify Overview#

Drimify offers a suite of tools to create engaging and interactive content like quizzes, games, and e-learning modules. With the Drimify API, you can automate the creation and management of these interactive elements, extract analytics, and personalize user experiences. On Pipedream, you can leverage these API capabilities to build serverless workflows that connect Drimify with other apps, streamlining processes like lead generation, user engagement tracking, and content updates.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import drimify from "../../drimify.app.mjs";

export default {
  key: "drimify-new-application-data",
  name: "New Application Data Collected",
  description: "Emit new event when application data has been collected. [See the documentation](https://endpoint.drimify.com/api/docs?ui=re_doc#tag/AppDataCollection/operation/api_app_data_collections_get_collection)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    drimify,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    applicationId: {
      propDefinition: [
        drimify,
        "applicationId",
      ],
    },
  },
  methods: {
    _getLastDate() {
      return this.db.get("lastDate") || "1970-01-01T00:00:00";
    },
    _setLastDate(lastDate) {
      this.db.set("lastDate", lastDate);
    },
    async emitEvent(maxResults = false) {
      const lastDate = this._getLastDate();

      const response = this.drimify.paginate({
        fn: this.drimify.listAppDataCollections,
      });

      let responseArray = [];
      for await (const item of response) {
        if (Date.parse(item.date) <= Date.parse(lastDate)) break;
        responseArray.push(item);
      }

      if (responseArray.length) {
        if (maxResults && (responseArray.length > maxResults)) {
          responseArray.length = maxResults;
        }
        this._setLastDate(responseArray[0].date);
      }

      for (const item of responseArray.reverse()) {
        this.$emit(item, {
          id: item.idunic || item.id,
          summary: `New Data Collected with ID: ${item.id}`,
          ts: Date.parse(item.date),
        });
      }
    },
  },
  hooks: {
    async deploy() {
      await this.emitEvent(25);
    },
  },
  async run() {
    await this.emitEvent();
  },
};

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
Drimify	`drimify`	`app`	This component uses the Drimify app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Application ID	`applicationId`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

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

About Drimify#

Drimify empowers you to easily create games and gamification experiences that help you reach your goals. Supercharged games, super-easy creation.

Action#

DynamoDB - Execute Statement on AWS

Description:This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/classes/executestatementcommand.html)

Version:0.2.1

Key:aws-dynamodb-execute-statement

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.

Action Code#

import common from "../../common/common-dynamodb.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  ...common,
  key: "aws-dynamodb-execute-statement",
  name: "DynamoDB - Execute Statement",
  description: toSingleLineString(`
    This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL.
    [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/classes/executestatementcommand.html)
  `),
  version: "0.2.1",
  type: "action",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    statement: common.props.statement,
    parameters: common.props.parameters,
  },
  async run({ $ }) {
    const params = {
      Statement: this.statement,
    };

    if (this.parameters?.length > 0) {
      const p = this.parameters.filter((param) => param);
      if (p.length > 0) params.Parameters = p;
    }

    const response = await this.aws.pagination(
      this.executeTransaction,
      params,
      "NextToken",
    );

    const s = response.Items.length === 1
      ? ""
      : "s";
    $.export("$summary", `Statement returned ${response.Items.length} item${s}`);
    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
AWS	`aws`	`app`	This component uses the AWS app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
Statement	`statement`	`string`	The PartiQL statement representing the operation to run
Parameters	`parameters`	`string[]`	The parameters for the PartiQL statement, if any

Action 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.

More Ways to Connect AWS + Drimify#

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DynamoDB - Execute Statement with AWS API on New Application Data Collected from Drimify API

Pipedream makes it easy to connect APIs for AWS, Drimify and 2,700+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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