← Slack + Fauna integrations

Read From Fauna Collection with Fauna 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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Read From Fauna Collection with the Fauna API
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Getting Started

This integration creates a workflow with a Slack trigger and Fauna 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 Read From Fauna Collection action
    1. Connect your Fauna account
    2. Select a Collection
    3. Optional- Configure Document Field
  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:1.0.14
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. When 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 just makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

Here are some examples of automations you can build with Pipedream on Slack:

  • Automate posting updates to your team channel
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • Build a custom dashboard to track your team's progress
  • Create a bot to handle scheduling and meeting requests
  • And much more!

Should I use the Slack or Slack Bot app on Pipedream?

The Slack app is the easiest and most convienent option to get started. It installs the official Pipedream bot into your Slack workspace with just a few clicks.

However, if you'd like to use your own bot registered with the Slack API, you can use the Slack Bot app instead.

The Slack Bot requires a bot token to allow your Pipedream workflows to authenticate as your bot. The extra set up steps allow you to list your custom bot on the Slack Marketplace, or install the bot on other workspaces as your bot's name instead of as Pipedream.

Trigger Code

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

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.14",
  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;
      }
      console.log(event.s);
      // 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:Reads all documents from a given Fauna collection. [See docs here](https://docs.fauna.com/fauna/current/api/fql/functions/documents)
Version:0.4.4
Key:faunadb-read-from-collection

Action Code

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

export default {
  key: "faunadb-read-from-collection",
  name: "Read From Fauna Collection",
  description: "Reads all documents from a given Fauna collection. [See docs here](https://docs.fauna.com/fauna/current/api/fql/functions/documents)",
  version: "0.4.4",
  type: "action",
  props: {
    faunadb,
    collectionName: {
      propDefinition: [
        faunadb,
        "collections",
      ],
    },
    documentField: {
      label: "Document Field",
      description: "The value of the document field that will be returned by query",
      type: "string",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      collectionName,
      documentField,
    } = this;

    const response = await this.faunadb.getDocumentsInCollection({
      collectionName,
      documentField,
    });

    $.export("$summary", "Successfully retrieved the collection's documents");

    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
FaunafaunadbappThis component uses the Fauna app.
CollectioncollectionNamestringSelect a value from the drop down menu.
Document FielddocumentFieldstring

The value of the document field that will be returned by query

Action Authentication

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

Create a key in the Security section of your FaunaDB dashboard, then enter the Secret below.

Read more about Keys and Fauna Security.

About Fauna

The distributed serverless database combining the flexibility of NoSQL with the relational querying capabilities of SQL systems.

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