← GatherUp + AWS integrations

CloudWatch Logs - Put Log Event with AWS API on New Feedback Received from GatherUp API

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New Feedback Received from the GatherUp API
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CloudWatch Logs - Put Log Event with the AWS API
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Getting Started

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

  1. Select this integration
  2. Configure the New Feedback Received trigger
    1. Connect your GatherUp account
    2. Configure timer
  3. Configure the CloudWatch Logs - Put Log Event action
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select a CloudWatch Log Groups
    4. Select a CloudWatch Log Streams
    5. Configure Message
    6. Configure Timestamp
    7. Optional- Configure Sequence token
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event on each new feedback received.
Version:0.0.2
Key:gatherup-new-feedback-received

GatherUp Overview

The GatherUp API facilitates the automation of customer feedback and review management processes. It enables seamless integration with Pipedream's serverless platform for creating workflows that can aggregate reviews, trigger actions based on customer feedback, and enhance reputation management. By leveraging the GatherUp API, businesses can automate the collection and analysis of customer reviews, respond to feedback promptly, and harness insights to improve service quality and customer satisfaction.

Trigger Code

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

export default {
  ...common,
  name: "New Feedback Received",
  version: "0.0.2",
  key: "gatherup-new-feedback-received",
  description: "Emit new event on each new feedback received.",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    emitEvent(data) {
      this.$emit(data, {
        id: data.feedbackId,
        summary: `New feedback received with id ${data.feedbackId}`,
        ts: Date.parse(data.dateOfReview),
      });
    },
    async getResources(args = {}) {
      const {
        data: resources, perPage,
      } = await this.gatherup.getFeedbacks(args);

      return {
        resources,
        perPage,
      };
    },
  },
};

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.
LabelPropTypeDescription
GatherUpgatherupappThis component uses the GatherUp app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

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

You can get your Client ID and your Bearer Token on the Account Owner Details page.

About GatherUp

GatherUp™ is a customer experience and online review engine that enables insights, empowers marketing and converts customers.

Action

Description:Uploads a log event to the specified log stream. [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-cloudwatch-logs/classes/putlogeventscommand.html)
Version:0.1.1
Key:aws-cloudwatch-logs-put-log-event

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

export default {
  ...common,
  key: "aws-cloudwatch-logs-put-log-event",
  name: "CloudWatch Logs - Put Log Event",
  description: toSingleLineString(`
    Uploads a log event to the specified log stream.
    [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-cloudwatch-logs/classes/putlogeventscommand.html)
  `),
  version: "0.1.1",
  type: "action",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    logGroupName: common.props.logGroupName,
    logStreamName: common.props.logStreamName,
    message: {
      type: "string",
      label: "Message",
      description: "The event message",
    },
    timestamp: {
      type: "integer",
      label: "Timestamp",
      description: "The Unix timestamp for when the event occurred, in milliseconds",
    },
    sequenceToken: {
      type: "string",
      label: "Sequence token",
      description: toSingleLineString(`
        The sequence token obtained from the response of the previous \`PutLogEvents\` call.
        An upload in a newly created log stream does not need a sequence token.
        **You can also get the sequence token using \`DescribeLogStreams\`**.
        If you call \`PutLogEvents\` twice within a narrow time period using the same value for sequenceToken,
        both calls might be successful or one might be rejected.
      `),
      optional: true,
    },
  },
  async run({ $ }) {
    const params = {
      logGroupName: this.logGroupName,
      logStreamName: this.logStreamName,
      logEvents: [
        {
          message: this.message,
          timestamp: this.timestamp,
        },
      ],
    };
    if (this.sequenceToken) {
      params.sequenceToken = this.sequenceToken;
    }
    const response = await this.putLogEvents(params);
    if (response.rejectedLogEventsInfo) {
      $.export("$summary", "Log event was rejected");
    } else {
      $.export("$summary", "Successfully stored log");
    }
    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.

LabelPropTypeDescription
AWSawsappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
CloudWatch Log GroupslogGroupNamestringSelect a value from the drop down menu.
CloudWatch Log StreamslogStreamNamestringSelect a value from the drop down menu.
Messagemessagestring

The event message

Timestamptimestampinteger

The Unix timestamp for when the event occurred, in milliseconds

Sequence tokensequenceTokenstring

The sequence token obtained from the response of the previous PutLogEvents call. An upload in a newly created log stream does not need a sequence token. You can also get the sequence token using DescribeLogStreams. If you call PutLogEvents twice within a narrow time period using the same value for sequenceToken, both calls might be successful or one might be rejected.

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.

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