← Slack + Affinda integrations

Upload Document for Parsing with Affinda 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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Upload Document for Parsing with the Affinda API
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Getting Started

This integration creates a workflow with a Slack trigger and Affinda 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 Upload Document for Parsing action
    1. Connect your Affinda account
    2. Select a Organization
    3. Select a Workspace
    4. Select a Collection
    5. Configure URL
    6. Optional- Configure Wait
    7. Optional- Configure Identifier
    8. Optional- Configure File Name
    9. Optional- Configure Expiry Time
    10. Optional- Configure Language
    11. Optional- Configure Reject Duplicates
    12. Optional- Configure Region Bias
    13. Optional- Configure Low Priority
  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:Uploads a document for parsing. [See docs here](https://docs.affinda.com/reference/createdocument)
Version:0.0.1
Key:affinda-upload-document-from-url

Affinda Overview

The Affinda API offers a suite of powerful tools for document analysis and extraction, enabling you to automate the processing of resumes, invoices, bank statements, and other documents. By parsing detailed information from documents, Affinda can transform unstructured data into structured, actionable insights. With Pipedream, you can integrate Affinda's capabilities into serverless workflows, connecting to hundreds of apps to automate tasks like candidate screening, financial data aggregation, or content management.

Action Code

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

export default {
  key: "affinda-upload-document-from-url",
  name: "Upload Document for Parsing",
  description: "Uploads a document for parsing. [See docs here](https://docs.affinda.com/reference/createdocument)",
  version: "0.0.1",
  type: "action",
  props: {
    affinda,
    organization: {
      propDefinition: [
        affinda,
        "organization",
      ],
    },
    workspace: {
      propDefinition: [
        affinda,
        "workspace",
        (c) => ({
          organization: c.organization,
        }),
      ],
    },
    collection: {
      propDefinition: [
        affinda,
        "collection",
        (c) => ({
          workspace: c.workspace,
        }),
      ],
    },
    url: {
      type: "string",
      label: "URL",
      description: "URL to download the document.",
    },
    wait: {
      type: "boolean",
      label: "Wait",
      description: "If `true`, will return a response only after processing has completed. If `false`, will return an empty data object which can be polled at the GET endpoint until processing is complete. Defaults to `true`.",
      optional: true,
    },
    identifier: {
      type: "string",
      label: "Identifier",
      description: "Specify a custom identifier for the document.",
      optional: true,
    },
    fileName: {
      type: "string",
      label: "File Name",
      description: "Optional filename of the file",
      optional: true,
    },
    expiryTime: {
      type: "string",
      label: "Expiry Time",
      description: "The date/time in ISO-8601 format when the document will be automatically deleted. Defaults to no expiry.",
      optional: true,
    },
    language: {
      type: "string",
      label: "Language",
      description: "Language code in ISO 639-1 format. Must specify zh-cn or zh-tw for Chinese.",
      optional: true,
    },
    rejectDuplicates: {
      type: "boolean",
      label: "Reject Duplicates",
      description: "If `true`, parsing will fail when the uploaded document is duplicate of an existing document, no credits will be consumed. If `false`, will parse the document normally whether its a duplicate or not. If not provided, will fallback to the workspace settings.",
      optional: true,
    },
    regionBias: {
      type: "object",
      label: "Region Bias",
      description: "A JSON representation of the RegionBias object. Example: `{\"country\": \"vn\"}`",
      optional: true,
    },
    lowPriority: {
      type: "boolean",
      label: "Low Priority",
      description: "Explicitly mark this document as low priority.",
      optional: true,
    },
  },
  async run({ $ }) {
    if (typeof this.regionBias === "string") {
      this.regionBias = JSON.parse(this.regionBias);
    }

    const response = await this.affinda.uploadDocument({
      $,
      data: {
        url: this.url,
        collection: this.collection,
        workspace: this.workspace,
        wait: this.wait,
        identifier: this.identifier,
        fileName: this.fileName,
        expiryTime: this.expiryTime,
        language: this.language,
        rejectDuplicates: this.rejectDuplicates,
        regionBias: this.regionBias,
        lowPriority: this.lowPriority,
      },
    });
    $.export("$summary", "Document uploaded successfully");
    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
AffindaaffindaappThis component uses the Affinda app.
OrganizationorganizationstringSelect a value from the drop down menu.
WorkspaceworkspacestringSelect a value from the drop down menu.
CollectioncollectionstringSelect a value from the drop down menu.
URLurlstring

URL to download the document.

Waitwaitboolean

If true, will return a response only after processing has completed. If false, will return an empty data object which can be polled at the GET endpoint until processing is complete. Defaults to true.

Identifieridentifierstring

Specify a custom identifier for the document.

File NamefileNamestring

Optional filename of the file

Expiry TimeexpiryTimestring

The date/time in ISO-8601 format when the document will be automatically deleted. Defaults to no expiry.

Languagelanguagestring

Language code in ISO 639-1 format. Must specify zh-cn or zh-tw for Chinese.

Reject DuplicatesrejectDuplicatesboolean

If true, parsing will fail when the uploaded document is duplicate of an existing document, no credits will be consumed. If false, will parse the document normally whether its a duplicate or not. If not provided, will fallback to the workspace settings.

Region BiasregionBiasobject

A JSON representation of the RegionBias object. Example: {"country": "vn"}

Low PrioritylowPriorityboolean

Explicitly mark this document as low priority.

Action Authentication

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

Generate and copy your API key from Account Settings.

About Affinda

Use AI to do your document processing, and free your team to do the real work

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