← Discord + Datadog integrations

Post Metric Data with Datadog API on New Message (Instant) from Discord API

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Trigger workflow on
New Message (Instant) from the Discord API
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Post Metric Data with the Datadog API
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Getting Started

This integration creates a workflow with a Discord trigger and Datadog 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 Message (Instant) trigger
    1. Connect your Discord account
    2. Configure Channels
    3. Configure discordApphook
  3. Configure the Post Metric Data action
    1. Connect your Datadog account
    2. Select a Metric
    3. Configure Points
  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 event for each message posted to one or more channels in a Discord server
Version:1.0.0
Key:discord-new-message

Discord Overview

The Pipedream Discord app enables you to build event-driven workflows that interact with the Discord API. When you authorize the Pipedream app's access to your guilds, you can use Pipedream workflows to perform common Discord actions, or write your own code against the Discord API.

Trigger Code

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

export default {
  type: "source",
  key: "discord-new-message",
  name: "New Message (Instant)",
  description: "Emit new event for each message posted to one or more channels in a Discord server",
  version: "1.0.0",
  dedupe: "unique",
  props: {
    discord,
    channels: {
      type: "$.discord.channel[]",
      appProp: "discord",
      label: "Channels",
      description: "Select the channel(s) you'd like to be notified for",
    },
    // eslint-disable-next-line pipedream/props-label,pipedream/props-description
    discordApphook: {
      type: "$.interface.apphook",
      appProp: "discord",
      async eventNames() {
        return this.channels || [];
      },
    },
  },
  async run(event) {
    if (event.guildID != this.discord.$auth.guild_id) {
      return;
    }
    this.$emit(event, {
      id: event.id,
    });
  },
};

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
DiscorddiscordappThis component uses the Discord app.
Channelschannels$.discord.channel[]

Select the channel(s) you'd like to be notified for

discordApphook$.interface.apphook

Trigger Authentication

Discord uses OAuth authentication. When you connect your Discord account, Pipedream will open a popup window where you can sign into Discord and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Discord API.

Pipedream requests the following authorization scopes when you connect your account:

botemailidentifyguilds

About Discord

Use this app to create a Discord source that emits messages from your guild to a Pipedream workflow.

Action

Description:The metrics end-point allows you to post time-series data that can be graphed on Datadog's dashboards. [See docs](https://docs.datadoghq.com/metrics)
Version:0.1.0
Key:datadog-post-metric-data

Action Code

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

export default {
  key: "datadog-post-metric-data",
  name: "Post Metric Data",
  description: "The metrics end-point allows you to post time-series data that can be graphed on Datadog's dashboards. [See docs](https://docs.datadoghq.com/metrics)",
  version: "0.1.0",
  type: "action",
  props: {
    datadog,
    metric: {
      propDefinition: [
        datadog,
        "metric",
      ],
    },
    points: {
      type: "object",
      label: "Points",
      description: "Points relating to a metric. The `key` should be the an Unix timestamp in seconds and `value` should be the point value. Example: `{ \"1640995200\": 1.0 , \"1640998800\": 1.1, \"1641002400\": 1.2 }`. This field will be converted to the expected value for Datadog API",
    },
  },
  methods: {
    convertMetricPoints(points) {
      return Object.keys(points).map((point) => ([
        parseFloat(point),
        parseFloat(points[point]),
      ]));
    },
  },
  async run({ $ }) {
    const response = await this.datadog.postMetricData({
      $,
      data: {
        series: [
          {
            metric: this.metric,
            points: this.convertMetricPoints(this.points),
          },
        ],
      },
    });

    $.export("$summary", `Posted to ${this.metric} timeseries`);

    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
DatadogdatadogappThis component uses the Datadog app.
MetricmetricstringSelect a value from the drop down menu.
Pointspointsobject

Points relating to a metric. The key should be the an Unix timestamp in seconds and value should be the point value. Example: { "1640995200": 1.0 , "1640998800": 1.1, "1641002400": 1.2 }. This field will be converted to the expected value for Datadog API

Action 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

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