slack-qna 0.1.1

An easy plug-and-use library for developing Slack BOT that serves a Q&A-like use case.

Slack Q&A

An easy plug-and-use library for developing Slack BOT that serves a Q&A-like use case.

For NodeJS version, please see https://github.com/lokwkin/slack-qna-node

Description

High level flow:

1. User messages this BOT via either:
   1. Direct Message
   2. Mention in Channel
   3. Slack Command
2. The BOT shows a loading reaction to the message.
3. The BOT relays user's message to your custom handler, and expect for a result either in Text, File or Image type.
4. The BOT reply the user's message in Slack Thread.
5. The BOT also shows a success reaction to the message.

Note:

• This BOT uses Slack's Socket Mode instead of Webhook mode for slack connection, so it does not require an exposed public endpoint. But your services need to be long running.

Sample use cases

Use with ChatGPT (Text Response)

Loading

Reply

Use with Dall-E (Image Response)

Loading

Reply

Usage

Install

pypi install slack-qna

from slack_qna.slack_qna import SlackQna
from slack_qna.schema import IncomingMessage, CommandHook, Reactions

slack_bot_token = os.getenv("SLACK_BOT_TOKEN")
slack_app_token = os.getenv("SLACK_APP_TOKEN")
bot_user_id = os.getenv("SLACK_BOT_USER_ID")

slackQnaBot = SlackQna(slack_bot_token, slack_app_token, bot_user_id, Reactions(
            loading="loading",
            success="white_check_mark",
            failed="x"
        ))

def my_handler(message: IncomingMessage):
    return "Hi there"

slackQnaBot.register_handler(CommandHook(is_sync=True, data_type='text', handler=my_handler))
slackQnaBot.listen(direct_message=True, mention=True)

Slack Setup

1. Register an Slack App in portal https://api.slack.com/
2. "Socket Mode" -> Enable Socket Mode
3. "OAuth & Permissions" -> "Bot Token Scopes" -> Grant these permissions: app_mentions:read, channels:history, chat:write, im:history, im:write, reactions:write, groups:history, files:write
4. "Event Subscription" -> "Enable Event" -> "Subscribe to bot events" -> Add message.im and app_mention --> "save"
5. "App Home" -> "Message Tab" -> Enable "Allow users to send Slash commands and messages from the messages tab"
6. Install bot to your workspace
7. Obtain your Bot Token from "OAuth & Permissions" > "Bot User OAuth Token"
8. Obtain your App Token from "Basic Information" > "App Level Token"
9. "Install App" -> Reinstall to workspace if neccessary