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Make a Phone Call with Twilio APIon New Records Returned by CloudWatch Logs Insights Query from AWS API

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New Records Returned by CloudWatch Logs Insights Query from the AWS API
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Make a Phone Call with the Twilio API
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Getting Started

This integration creates a workflow with a AWS trigger and Twilio 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 Records Returned by CloudWatch Logs Insights Query trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select one or more CloudWatch Log Groups
    4. Configure Logs Insights Query
    5. Optional- Configure Emit query results as a single event
    6. Configure timer
  3. Configure the Make a Phone Call action
    1. Connect your Twilio account
    2. Select a From
    3. Configure To
    4. Configure text
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, open source 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:Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch
Version:0.0.3
Key:aws-new-records-returned-by-cloudwatch-logs-insights-query

Trigger Code

const aws = require("../../aws.app.js");

module.exports = {
  key: "aws-new-records-returned-by-cloudwatch-logs-insights-query",
  name: "New Records Returned by CloudWatch Logs Insights Query",
  description:
    "Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch",
  version: "0.0.3",
  props: {
    aws,
    region: {
      propDefinition: [
        aws,
        "region",
      ],
    },
    db: "$.service.db",
    logGroupNames: {
      label: "CloudWatch Log Groups",
      description: "The log groups you'd like to query",
      type: "string[]",
      async options({ prevContext }) {
        const prevToken = prevContext.nextToken;
        const {
          logGroups,
          nextToken,
        } = await this.aws.logsInsightsDescibeLogGroups(this.region, prevToken);
        const options = logGroups.map((group) => {
          return {
            label: group.logGroupName,
            value: group.logGroupName,
          };
        });
        return {
          options,
          context: {
            nextToken,
          },
        };
      },
    },
    queryString: {
      label: "Logs Insights Query",
      description:
        "The query you'd like to run. See [this AWS doc](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_QuerySyntax.html) for help with query syntax",
      type: "string",
    },
    emitResultsInBatch: {
      type: "boolean",
      label: "Emit query results as a single event",
      description:
        "If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`",
      optional: true,
      default: true,
    },
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: 5 * 60,
      },
    },
  },
  async run() {
    const now = +new Date();
    const startTime = this.db.get("startTime") || now - 1000 * 60 * 60;

    const AWS = this.aws.sdk(this.region);
    const cloudwatchlogs = new AWS.CloudWatchLogs();

    // First, start the query
    const params = {
      queryString: this.queryString,
      startTime,
      endTime: now,
      logGroupNames: this.logGroupNames,
    };

    const { queryId } = await cloudwatchlogs.startQuery(params).promise();

    // Then poll for its status, emitting each record as its own event when completed
    async function sleep(ms) {
      return new Promise((r) => setTimeout(r, ms));
    }

    let result, res;
    do {
      await sleep(1000);
      res = await cloudwatchlogs.getQueryResults({
        queryId,
      }).promise();
      result = res.status;
    } while (result === "Running" || result === "Scheduled");

    if (result !== "Complete") {
      throw new Error(`Query ${queryId} failed with status ${result}`);
    }

    console.log(JSON.stringify(res, null, 2));
    const { results } = res;

    if (!results || !results.length) {
      console.log("No results, exiting");
      this.db.set("startTime", now);
      return;
    }

    if (this.emitResultsInBatch === true) {
      this.$emit(results, {
        summary: JSON.stringify(results),
      });
    } else {
      for (const item of results) {
        this.$emit(item, {
          summary: JSON.stringify(item),
        });
      }
    }

    // The next time this source runs, query for data starting now
    this.db.set("startTime", now);
  },
};

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
AWSawsappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.
CloudWatch Log GroupslogGroupNamesstring[]Select a value from the drop down menu.
Logs Insights QueryqueryStringstring

The query you'd like to run. See this AWS doc for help with query syntax

Emit query results as a single eventemitResultsInBatchboolean

If true, all events are emitted as an array, within a single Pipedream event. If false, each row of results is emitted as its own event. Defaults to true

timer$.interface.timer

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.

Once done, enter your access and secret key below.

About AWS

On-demand cloud computing platforms and APIs

Action

Description:Make a phone call, passing text that Twilio will speak to the recipient of the call.
Version:0.0.5
Key:twilio-make-phone-call

Action Code

// Read the Twilio docs at https://www.twilio.com/docs/sms/api/message-resource#create-a-message-resource
const twilio = require("../../twilio.app.js");
const { phone } = require("phone");

module.exports = {
  key: "twilio-make-phone-call",
  name: "Make a Phone Call",
  description: "Make a phone call, passing text that Twilio will speak to the recipient of the call.",
  version: "0.0.5",
  type: "action",
  props: {
    twilio,
    from: {
      propDefinition: [
        twilio,
        "from",
      ],
    },
    to: {
      propDefinition: [
        twilio,
        "to",
      ],
    },
    text: {
      type: "string",
      description: "The text you'd like Twilio to speak to the user when they pick up the phone.",
    },
  },
  async run() {
    // Parse the given number into its E.164 equivalent
    // The E.164 phone number will be included in the first element
    // of the array, but the array will be empty if parsing fails.
    // See https://www.npmjs.com/package/phone
    const toParsed = phone(this.to);
    console.log(toParsed);
    if (!toParsed || !toParsed.phoneNumber) {
      throw new Error(`Phone number ${this.to} couldn't be parsed as a valid number.`);
    }

    const data = {
      to: toParsed.phoneNumber,
      from: this.from,
      twiml: `<Response><Say>${this.text}</Say></Response>`,
    };

    return await this.twilio.getClient().calls.create(data);
  },
};

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
TwiliotwilioappThis component uses the Twilio app.
FromfromstringSelect a value from the drop down menu.
Totostring

The destination phone number in E.164 format. Format with a + and country code (e.g., +16175551212).

texttextstring

The text you'd like Twilio to speak to the user when they pick up the phone.

Action Authentication

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

In Twilio, create an API key. There are two types of keys: Master and Standard. You'll need a Master key to interact with certain API endpoints, like /Accounts. If you don't need to interact with those endpoints, you can use a Standard key.

Once created, you'll receive an Sid and Secret here that you should enter in the corresponding fields below.

Then, in your Twilio Dashboard, you'll see your Account SID listed near the top. This is required for certain API operations. Enter that in the AccountSid field below.

About Twilio

Cloud communications platform for building SMS, Voice & Messaging applications on an API built for global scale

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Queue up to 10,000 events per workfow and manage the concurrency and rate at which workflows are triggered.

Process large payloads up to 5 terabytes
Process large payloads up to 5 terabytes

Large file support enables you to trigger workflows with any data (e.g., large JSON files, images and videos) up to 5 terabytes.

Return custom responses to HTTP requests
Return custom responses to HTTP requests

Return any JSON-serializable response from an HTTP triggered workflow using $respond().

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Use most npm packages

To use any npm package, just require() it -- there's no npm install or package.json required.

Maintain state between executions
Maintain state between executions

Use $checkpoint to save state in one workflow invocation and read it the next time your workflow runs.

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Pass data between steps

Return data from any step to inspect it in a human-friendly way and reference the data in future steps via the steps object.