← Slack + Sentry integrations

List Project Issues. with Sentry API on New Message In Channels (Instant) from Slack API

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New Message In Channels (Instant) from the Slack API
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List Project Issues. with the Sentry API
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Getting Started

This integration creates a workflow with a Slack trigger and Sentry 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 In Channels (Instant) trigger
    1. Connect your Slack account
    2. Optional- Select one or more Channels
    3. Configure slackApphook
    4. Optional- Configure Resolve Names
    5. Optional- Configure Ignore Bots
    6. Optional- Configure Ignore replies in threads
  3. Configure the List Project Issues. action
    1. Connect your Sentry account
    2. Select a Organization
    3. Select a Project
    4. Optional- Configure Stats Period
    5. Optional- Configure Short ID Lookup
    6. Optional- Configure Query
    7. Optional- Configure Max Results
  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 when a new message is posted to one or more channels
Version:1.0.22
Key:slack-new-message-in-channels

Slack Overview

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

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Trigger Code

import common from "../common/base.mjs";
import constants from "../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.22",
  description: "Emit new event when a new message is posted to one or more channels",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    resolveNames: {
      propDefinition: [
        common.props.slack,
        "resolveNames",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreThreads: {
      type: "boolean",
      label: "Ignore replies in threads",
      description: "Ignore replies to messages in threads",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New message in channel";
    },
    async processEvent(event) {
      if (event.type !== "message") {
        console.log(`Ignoring event with unexpected type "${event.type}"`);
        return;
      }
      if (event.subtype && !constants.ALLOWED_MESSAGE_IN_CHANNEL_SUBTYPES.includes(event.subtype)) {
        // This source is designed to just emit an event for each new message received.
        // Due to inconsistencies with the shape of message_changed and message_deleted
        // events, we are ignoring them for now. If you want to handle these types of
        // events, feel free to change this code!!
        console.log("Ignoring message with subtype.");
        return;
      }
      if ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) {
        return;
      }
      // There is no thread message type only the thread_ts field
      // indicates if the message is part of a thread in the event.
      if (this.ignoreThreads && event.thread_ts) {
        console.log("Ignoring reply in thread");
        return;
      }
      if (this.resolveNames) {
        if (event.user) {
          event.user_id = event.user;
          event.user = await this.getUserName(event.user);
        } else if (event.bot_id) {
          event.bot = await this.getBotName(event.bot_id);
        }
        event.channel_id = event.channel;
        event.channel = await this.getConversationName(event.channel);
        if (event.team) {
          event.team_id = event.team;
          event.team = await this.getTeamName(event.team);
        }
      }
      return event;
    },
  },
  sampleEmit,
};

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
SlackslackappThis component uses the Slack app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Channelsconversationsstring[]Select a value from the drop down menu.
slackApphook$.interface.apphook
Resolve NamesresolveNamesboolean

Instead of returning channel, team, and user as IDs, return their human-readable names.

Ignore BotsignoreBotboolean

Ignore messages from bots

Ignore replies in threadsignoreThreadsboolean

Ignore replies to messages in threads

Trigger Authentication

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

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

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

Action

Description:Return a list of issues bound to a project. [See the docs here](https://docs.sentry.io/api/issues/list-a-projects-issues/)
Version:0.1.0
Key:sentry-list-project-issues

Sentry Overview

The Sentry API on Pipedream allows you to automate error tracking and responses in your applications. Sentry's robust issue tracking and release monitoring align with Pipedream's ability to craft custom workflows, enabling developers to connect error alerts to a plethora of other services for notifications, analysis, task management, and more. With Sentry's detailed diagnostic data, these workflows can help reduce downtime by triggering quick actions upon issue detection.

Action Code

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

export default {
  key: "sentry-list-project-issues",
  version: "0.1.0",
  type: "action",
  name: "List Project Issues.",
  description: "Return a list of issues bound to a project. [See the docs here](https://docs.sentry.io/api/issues/list-a-projects-issues/)",
  props: {
    app,
    organizationSlug: {
      propDefinition: [
        app,
        "organizationSlug",
      ],
    },
    projectId: {
      propDefinition: [
        app,
        "projectId",
      ],
    },
    statsPeriod: {
      type: "string",
      label: "Stats Period",
      description: "An optional stat period (e.g. `\"24h\"`, `\"14d\"`).",
      optional: true,
    },
    shortIdLookup: {
      type: "boolean",
      label: "Short ID Lookup",
      description: "If this is set to true then short IDs are looked up by this function as well. This can cause the return value of the function to return an event issue of a different project which is why this is an opt-in.",
      optional: true,
    },
    query: {
      type: "string",
      label: "Query",
      description: "An optional Sentry structured search query. If not provided an implied `is:unresolved` is assumed.",
      optional: true,
    },
    maxResults: {
      propDefinition: [
        app,
        "maxResults",
      ],
    },
  },
  async run({ $ }) {
    const params = {
      statsPeriod: this.statsPeriod,
      shortIdLookup: this.shortIdLookup,
      query: this.query,
    };
    const data = await this.app._paginate(
      this.maxResults ?? 1000,
      this.app.listProjectIssues,
      this.organizationSlug,
      this.projectId,
      params,
    );
    if (data.length === 0) {
      $.export("$summary", "No issues found");
    } else {
      $.export("$summary", `${data.length} issue(s) found`);
    }
    return 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
SentryappappThis component uses the Sentry app.
OrganizationorganizationSlugstringSelect a value from the drop down menu.
ProjectprojectIdstringSelect a value from the drop down menu.
Stats PeriodstatsPeriodstring

An optional stat period (e.g. "24h", "14d").

Short ID LookupshortIdLookupboolean

If this is set to true then short IDs are looked up by this function as well. This can cause the return value of the function to return an event issue of a different project which is why this is an opt-in.

Queryquerystring

An optional Sentry structured search query. If not provided an implied is:unresolved is assumed.

Max ResultsmaxResultsinteger

The maximum number of registers to return. Defaults to 1000.

Action Authentication

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

About Sentry

Sentry offers self-hosted and cloud-based application performance monitoring & error tracking that helps software teams see clearer, solve quicker, & learn continuously.

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