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Run Python Code with Python API on New Monitor Event (Instant) from Datadog API

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New Monitor Event (Instant) from the Datadog API
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Run Python Code with the Python API
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Getting Started

This integration creates a workflow with a Datadog trigger and Python 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 Monitor Event (Instant) trigger
    1. Connect your Datadog account
    2. Select one or more Monitors
  3. Configure the Run Python Code action
    1. Connect your Python account
  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:Emit new events captured by a Datadog monitor
Version:0.1.1
Key:datadog-new-monitor-event

Datadog Overview

With the Datadog API, you can build a variety of applications and tools to help
you monitor and optimize your Datadog account. Here are a few examples:

  • A tool to help you visualize your Datadog account data
  • A tool to help you manage your Datadog account settings
  • A tool to help you monitor and troubleshoot your Datadog account
  • A tool to help you migrate your data to Datadog

Trigger Code

import datadog from "../../datadog.app.mjs";
import { payloadFormat } from "../common/payload-format.mjs";

export default {
  key: "datadog-new-monitor-event",
  name: "New Monitor Event (Instant)",
  description: "Emit new events captured by a Datadog monitor",
  dedupe: "unique",
  version: "0.1.1",
  type: "source",
  props: {
    datadog,
    db: "$.service.db",
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    monitors: {
      propDefinition: [
        datadog,
        "monitors",
      ],
    },
  },
  hooks: {
    async deploy() {
      // emit historical events
      const { events } = await this.datadog.getEvents({
        params: {
          start: Math.floor(this.datadog.daysAgo(7) / 1000), // one week ago
          end: Math.floor(Date.now() / 1000), // now
        },
      });
      const relevantEvents = events.filter((event) => this.monitors.includes(event.monitor_id));

      for (const event of relevantEvents.reverse().slice(-25)) {
        const payload = {
          alertTitle: event.eventTitle,
          alertType: event.alert_type,
          date: event.date_happened,
          eventMsg: event.text,
          eventTitle: event.title,
          hostname: event.host,
          id: event.id,
          lastUpdated: event.date_happened,
          link: `https://app.datadoghq.com${event.url}`,
          priority: event.priority,
          tags: event.tags.join(),
        };
        const meta = this.generateMeta(payload);
        this.$emit(payload, meta);
      }
    },
    async activate() {
      const {
        name: webhookName,
        secretKey: webhookSecretKey,
      } = await this.datadog.createWebhook(
        this.http.endpoint,
        payloadFormat,
      );

      console.log(`Created webhook "${webhookName}"`);
      this._setWebhookName(webhookName);
      this._setWebhookSecretKey(webhookSecretKey);

      await Promise.all(
        this.monitors.map((monitorId) =>
          this.datadog.addWebhookNotification(webhookName, monitorId)),
      );
    },
    async deactivate() {
      const webhookName = this._getWebhookName();
      await this.datadog.removeWebhookNotifications(webhookName);
      await this.datadog.deleteWebhook(webhookName);
    },
  },
  methods: {
    _getWebhookName() {
      return this.db.get("webhookName");
    },
    _setWebhookName(webhookName) {
      this.db.set("webhookName", webhookName);
    },
    _getWebhookSecretKey() {
      return this.db.get("webhookSecretKey");
    },
    _setWebhookSecretKey(webhookSecretKey) {
      this.db.set("webhookSecretKey", webhookSecretKey);
    },
    generateMeta(data) {
      const {
        id,
        eventTitle: summary,
        date: ts,
      } = data;
      return {
        id,
        summary,
        ts,
      };
    },
  },
  async run(event) {
    const webhookSecretKey = this._getWebhookSecretKey();
    if (!this.datadog.isValidSource(event, webhookSecretKey)) {
      console.log("Skipping event from unrecognized source");
      this.http.respond({
        status: 404,
      });
      return;
    }

    // Acknowledge the event back to Datadog.
    this.http.respond({
      status: 200,
    });

    const { body } = event;
    const meta = this.generateMeta(body);
    this.$emit(body, meta);
  },
};

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
DatadogdatadogappThis component uses the Datadog app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.
N/Ahttp$.interface.httpThis 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.
Monitorsmonitorsinteger[]Select a value from the drop down menu.

Trigger Authentication

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

About Datadog

Cloud monitoring as a service

Action

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.
Version:0.0.2
Key:python-run-python-code

Action Code

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

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

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
PythonpythonappThis component uses the Python app.

Action Authentication

The Python API does not require authentication.

About Python

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.

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