← Slack + Interzoid integrations

Generate Match Report with Interzoid API on New Star Added (Instant) from Slack API

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New Star Added (Instant) from the Slack API
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Generate Match Report with the Interzoid API
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Getting Started

This integration creates a workflow with a Slack trigger and Interzoid 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 Star Added (Instant) trigger
    1. Connect your Slack account
    2. Configure slackApphook
    3. Optional- Select one or more Event Types
  3. Configure the Generate Match Report action
    1. Connect your Interzoid account
    2. Select a Matching Algorithm Type
    3. Select a Database Connection Type
    4. Configure Connection String
    5. Configure Table Name
    6. Configure Match Column Name
    7. Optional- Configure Reference
  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 star is added to an item
Version:0.0.18
Key:slack-new-star-added

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";

export default {
  ...common,
  key: "slack-new-star-added",
  name: "New Star Added (Instant)",
  version: "0.0.18",
  description: "Emit new event when a star is added to an item",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return [
          "star_added",
        ];
      },
    },
    eventTypes: {
      type: "string[]",
      label: "Event Types",
      description: "The types of event to emit. If not specified, all events will be emitted.",
      options: constants.eventsOptions,
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary({ item: { type } }) {
      return `New star added - ${constants.events[type] ?? type}`;
    },
    async processEvent(event) {
      if (this.eventTypes == null
        || this.eventTypes.length === 0
        || this.eventTypes.includes(event.item.type)) {
        return event;
      }
    },
  },
};

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 $.service.db to maintain state between executions.
slackApphook$.interface.apphook
Event TypeseventTypesstring[]Select a value from the drop down menu:{ "label": "User", "value": "im" }{ "label": "Message", "value": "message" }{ "label": "File", "value": "file" }{ "label": "Channel", "value": "channel" }

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:Generate a Match Report using a dataset table or file (CSV/TSV/Excel). [See the documentation](https://connect.interzoid.com/data-matching-workflow)
Version:0.0.1
Key:interzoid-generate-match-report

Interzoid Overview

The Interzoid API offers a plethora of data-driven APIs that enable you to enrich, standardize, and deduplicate data across various fields such as demographics, financials, and text. With these capabilities, you can enhance data quality, drive better analytics, and create more intelligent workflows and applications. In Pipedream, you can integrate these APIs into serverless workflows, triggering actions based on various events, manipulating and routing data to other apps, services, or data stores with ease.

Action Code

import interzoid from "../../interzoid.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "interzoid-generate-match-report",
  name: "Generate Match Report",
  description: "Generate a Match Report using a dataset table or file (CSV/TSV/Excel). [See the documentation](https://connect.interzoid.com/data-matching-workflow)",
  version: "0.0.1",
  type: "action",
  props: {
    interzoid,
    category: {
      type: "string",
      label: "Matching Algorithm Type",
      description: "This category type indicates which set of Machine Learning and matching algorithms to make use of based on type of data content",
      options: constants.CATEGORY_OPTIONS,
    },
    source: {
      type: "string",
      label: "Database Connection Type",
      description: "Source of data, such as 'CSV', 'Snowflake', 'Postgres', etc.",
      options: constants.SOURCE_OPTIONS,
    },
    connection: {
      type: "string",
      label: "Connection String",
      description: "Connection string to access database, or in the case of a CSV or TSV file, use the full URL of the location of the file.",
    },
    table: {
      type: "string",
      label: "Table Name",
      description: "Table name to access the source data. Use \"CSV\" or \"TSV\" for delimited text files.",
    },
    column: {
      type: "string",
      label: "Match Column Name",
      description: "Column name within the table to access the source data. This is a number for CSV or TSV files, starting with number 1 from the left side of the file.",
    },
    reference: {
      type: "string",
      label: "Reference",
      description: "An additional column from the source table to display in the output results, such as a primary key.",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.interzoid.generateMatchReport({
      $,
      params: {
        category: this.category,
        source: this.source,
        connection: this.connection,
        table: this.table,
        column: this.column,
        reference: this.reference,
      },
    });

    $.export("$summary", "Successfully generated match report");

    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
InterzoidinterzoidappThis component uses the Interzoid app.
Matching Algorithm TypecategorystringSelect a value from the drop down menu:{ "label": "Company and Organization Names", "value": "company" }{ "label": "Individual Names", "value": "individual" }{ "label": "Street Addresses", "value": "address" }
Database Connection TypesourcestringSelect a value from the drop down menu:AWS RDS/AuroraSnowflakeAzure SQLGoogle Cloud SQLDatabricksPostgreSQLMySQLMariaDBParquetCSVTSVExcel
Connection Stringconnectionstring

Connection string to access database, or in the case of a CSV or TSV file, use the full URL of the location of the file.

Table Nametablestring

Table name to access the source data. Use "CSV" or "TSV" for delimited text files.

Match Column Namecolumnstring

Column name within the table to access the source data. This is a number for CSV or TSV files, starting with number 1 from the left side of the file.

Referencereferencestring

An additional column from the source table to display in the output results, such as a primary key.

Action Authentication

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

Sign in and copy your API key from the Account page

About Interzoid

AI & ML-based Data Engineering in the Cloud for better data - Connect to Cloud database tables, CSVs, etc with data workloads running entirely in the Cloud.

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