README.md

UbiquiBot (deprecated)

Caution

This repository is not used anymore, see instead https://github.com/ubiquity/ubiquibot-kernel

Ubiquity DAO's GitHub Bot for Automating DevPool Management.

Table of Contents

1. Quickstart
2. Environment Variables
3. Overview
4. How to Use
5. Configuration
6. How to Run Locally
7. Supabase Database
8. Logs
9. Payments Permits in a Local Instance
10. How to QA Additions to the Bot
11. How to Create a New Release
12. Architecture Overview
13. Default Config Notes (ubiquibot-config-default.ts)

Quickstart

#!/bin/bash

git clone https://github.com/ubiquity/ubiquibot.git
cd ubiquibot
bun
bun tsc (to compile your changes)

bun tsc --watch (to locally auto compile your changes)

bun start:watch

## It's recommended to split terminals in your IDE while running above input

Environment Variables

• Copy .env.example to .env (do not rename .env.example, just make a copy)
• Update the following fields on .env:
• SUPABASE_URL: Add your Supabase project URL.
• SUPABASE_KEY: Add your Supabase project API key.
• FOLLOWUP_TIME: (optional) Set a custom follow-up time (default: 4 days).
• DISQUALIFY_TIME: (optional) Set a custom disqualify time (default: 7 days).
• OPENAI_API_HOST: (optional) Set OpenAI host url (default: https://api.openai.com).
• OPENAI_API_KEY: Set OpenAI key.
• CHATGPT_USER_PROMPT_FOR_IMPORTANT_WORDS: (optional) Set a custom user prompt for finding important words (default: "I need your help to find important words (e.g. unique adjectives) from github issue below and I want to parse them easily so please separate them using #(No other contexts needed). Please separate the words by # so I can parse them easily. Please answer simply as I only need the important words. Here is the issue content.\n").
• CHATGPT_USER_PROMPT_FOR_MEASURE_SIMILARITY: (optional) Set a custom user prompt for measuring similarity (default: 'I have two github issues and I need to measure the possibility of the 2 issues are the same content (No other contents needed and give me only the number in %).\n Give me in number format and add % after the number.\nDo not tell other things since I only need the number (e.g. 85%). Here are two issues:\n 1. "%first%"\n2. "%second%"').
• SIMILARITY_THRESHOLD: (optional) Set similarity threshold (default: 80).
• MEASURE_SIMILARITY_AI_TEMPERATURE: (optional) Set ChatGPT temperature for measuring similarity (default: 0).
• IMPORTANT_WORDS_AI_TEMPERATURE: (optional) Set ChatGPT temperature for finding important words (default: 0).
• WEBHOOK_PROXY_URL: (required) should be automatically filled when you install UbiquiBot
• WEBHOOK_SECRET: (required) should be automatically filled when the app is installed

APP_ID and PRIVATE_KEY are here for core team developers to use.

If you are an external developer, APP_IDand PRIVATE_KEY are automatically generated when you install the app on your repository.

How to run locally

Register a new Github App

Should output:

You may proceed to go to http://localhost:3000 and you should see

Click on Register a Github App

Provide the bot a name

Select a handle where to install the bot

Select in which repo the bot shall be available

After following the steps you should see

Restart the server for the installation to take effect

After aforemention steps then installation shall be complete

Seeing this page below after hitting http://localhost:3000 again?

Congratulations! you successfully installed UbiquiBot (new or to an existing app)

Update an Existing Github App (bot)

After you hit http://localhost:3000 you have the option to edit an existing app (if you think you have already registered a bot and when to reuse that same app)

on your Github settings hit to:

hen at the same time hit to "APP SETTINGS"

Update the WebHook URL by the one auto-provided by the bot's installation page (this is a must) and edit the webhook secret that you'll use at .env

Update APP_ID at .env accordingly

In the same page it is super important that you re-generated and save a private key that you'll be using at .env you open the file and paste it

The Good News it's after you install the bot by using an existing app you'll get

Important things with private keys (.pem) at .env

1. The private key gets automatically filled after the app is installed to a github handle but not as an existing app
2. The private key cannot be separated in spaces
3. The private key is a string into its env var rather than a just opened info without "" otherwise it will not be recognized and you'll get unauthorized access

Note: When setting up the project, please do not rename the .env.example file to .env as it will delete the environment example from the repository. Instead, it is recommended to make a copy of the .env.example file and replace the values with the appropriate ones.

Overview

• This bot is available as a GitHub Action.
• The code must be compiled using @vercel/ncc because all the dependencies (e.g. node_modules) must be included and committed on the repository for the GitHub Actions runner to use.

How to use

1. Go to the UbiquiBot App Marketplace
2. Choose a plan and install UbiquiBot on your repository
3. Congratulations! You can now use the UbiquiBot to manage your tasks.

To test the bot, you can:

1. Create a new issue
2. Add a time label, ex: Time: <1 Day
3. Add a priority label, ex: Priority: 1 (Normal)
4. At this point the bot should add a price label.

Configuration

evmNetworkId is ID of the EVM-compatible network that will be used for payouts.

priceMultiplier is a base number that will be used to calculate task price based on the following formula: price = priceMultiplier * timeLabelWeight * priority-label-weight * 100

timeLabels are labels for marking the time limit of the task:

• name is a human-readable name
• value is number of seconds that corresponds to the time limit of the task

priorityLabels are labels for marking the priority of the task:

• name is a human-readable name

commandSettings are setting to enable or disable a command

• name is the name of the command
• enabled is a true or false value to enable or disable a command

defaultLabels are labels that are applied when an issue is created without any time or priority labels.

assistivePricing to create a new pricing label if it doesn't exist. Can be true or false.

disableAnalytics can be true or false that disables or enables weekly analytics collection by Ubiquity.

paymentPermitMaxPrice sets the max amount for automatic payout of tasks when the issue is closed.

commentIncentives can be true or false that enable or disable comment incentives. These are payments generated for comments in the issue by contributors, excluding the assignee.

issueCreatorMultiplier is a number that defines a base multiplier for calculating incentive for the creator of the issue.

comment-element-pricing defines how much is a part of the comment worth. For example text: 0.1 means that any text in the comment will add 0.1

incentives defines incentive rewards:

• comment defines comment rewards:
  • elements defines reward value for HTML elements such as p, img, a.
  • totals:
    • word defines reward for each word in the comment

maxConcurrentAssigns is the maximum number of tasks that can be assigned to a task hunter at once. This excludes tasks with delayed or approved pull request reviews.

registerWalletWithVerification can be true or false. If enabled, it requires a signed message to set wallet address. This prevents users from setting wallet address from centralized exchanges, which would make payments impossible to claim.

promotionComment is a message that is appended to the payment permit comment.

Supase Database

Option 1

1. Create a new project at Supabase. Add Project URL and API Key to the .env file:

SUPABASE_URL="XXX"
SUPABASE_KEY="XXX"

Option 2

Supabase comes with a readme which is helpful for managing and setup

This options will require you to have a local Docker installation (under the hood it is required by Supabase) refer to Supabase Docs

bun supabase start

Check Supabase Status (locally)

bun supabase status

Supabase Studio

You can then access to Supabase Studio by going to http://localhost:54323

2. Add FOLLOW_UP_TIME and DISQUALIFY_TIME to the .env file if you don't want to use default ones.

FOLLOW_UP_TIME="4 days" // 4 days
DISQUALIFY_TIME="7 days" // 7 days

3. Make sure you have Node => 20.10.0 && bun
4. Open 2 terminal instances:
   • in one instance run bun tsc --watch (compiles the Typescript code)
   • in another instance run bun start:watch (runs the bot locally)
5. Open http://localhost:3000 and follow instructions to add the bot to one of your repositories.

At this point the .env files auto-fill the empty fields (PRIVATE_KEY and APP_ID) if it is not previously filled. Now you can make changes to the repository on GitHub (e.g. add a task) and the bot should react.

6. After adding the bot (as a installed app) to your github you will need to restart the aforementioned bun start:watch`` so CTRL-C to stop the node daemon and bun start:watch` again

You can, for example:

1. Create a new issue
2. Add a time label, ex: Time: <1 Day
3. Add a priority label, ex: Priority: 1 (Normal)
4. the bot should add a price label, you should see event logs in your opened bot terminals

How it works

UbiquiBot is built using the probot framework so in fact the bot is a github app. But thanks to the probot/adapter-github-actions you can also use the bot as a github action.

UbiquiBot it's also available ready to install on the GitHub Marketplace.

When using as a github app the flow is the following:

1. UbiquiBot is added to a repository as a github app
2. You run the bot "backend" (for example on your local machine)
3. Some event happens in a repository and the bot should react somehow (for example: on adding a time label to an issue the bot should add a price label)
4. Event details are sent to your deployed bot instance (to a webhook URL that was set in github app's settings)
5. The bot handles the event

Payments Permits in a local instance

For payment to work in your local instance, ubiquibot must be set up in a Github organization. It will not work for a ubiquibot instance set up in a personal account. Once, you have an ubiquibot instance working in an organization, follow the steps given below:

1. Create a new private repository in your Github organization with name ubiquibot-config

2. Add your ubiquibot app to ubiquibot-config repository.

3. Create a file .github/ubiquibot-config.yml in it. Fill the file with contents from this file.

4. Go to https://pay.ubq.fi/keygen and generate X25519 public/private key pair. Fill private key of your wallet's address in PLAIN_TEXT field and click Encrypt.

5. Copy the CIPHER_TEXT and append it to your repo ubiquibot-config/.github/ubiquibot-config.yml as

   private-key-encrypted: "PASTE_YOUR_CIPHER_TEXT_HERE"

6. Copy the X25519_PRIVATE_KEY and append it in your local ubiquibot repository .env file as

   X25519_PRIVATE_KEY=PASTE_YOUR_X25519_PRIVATE_KEY_HERE

How to QA any additions to the bot

Make sure you have your local instance of ubiquibot running.

1. Fork the ubiquibot repo and add your local instance of ubiquibot to the forked repository.
2. Enable Github action running on the forked repo and allow issues on the settings tab.
3. Create a QA issue similar to this where you show the feature working in the forked repo.
4. Describe carefully the steps taken to get the feature working, this way our team can easily verify.
5. Link that QA issue to the pull request as indicated on the template before requesting a review.

How to create a new release

1. Update the version in package.json: bun version --new-version x.x.x
2. Commit and create a new tag: git commit -am x.x.x && git tag -am x.x.x
3. Push tags: git push origin v"x.x.x"
4. The Github action will create a release by recognizing the version tag

Architecture Overview

UbiquiBot is built using the probot framework, the bot is a github app

<root>
├── bin: Binary file and action file compiled by `@vercel/ncc`
├── docs: Documentations
├── src : Main source code
├── supabase: Supabase migrations and configuration file

/src

<src>
├── adapters: A set of interaces to interact with 3rd party libraries such as Telegraf, supabase-js.
 It consists of a set of small functions bulit on top of a specific library.
 Every adapter needs to be for calling a specific method of the library.
|
├── bindings: A set of listeners to bind/process requests emitted by GitHub.
 It also has a function to load a project configuration.
|
├── configs: Constants and default config values used to create a bot configuration
 in case we're missing any needed configuration parameters from both .env and config file.
|
├── handlers: A set of event-based processors.
 Each handler processes a specific request and it may consist of pre, action and post handlers.
 A pre handler would be running in prior to the main action which needs to be shorter not to affect the main handler's process.
 A post handler would be running as soon as the main handler gets completed. 
It has no limitation on its completion time.
 For example, it could be an example of pre-handler to create missing price labels 
 because if we don't have necessary labels created already on the repo, labeling non-exists labels would definitely throw.
|
├── types A set of schema and type definitions.
 Why do we need schema? because we want to validate the unknown input and throw the error before the main execution.
|

├── helpers A set of schema and type definitions.
 Why do we need schema? because we want to validate the unknown input and throw the error before the main execution.

├── utils A set of utility functions

Default Config Notes (ubiquibot-config-default.ts)

We can't use a jsonc file due to limitations with Netlify. Here is a snippet of some values with notes next to them.

{
  "payment-permit-max-price": 9007199254740991, // Number.MAX_SAFE_INTEGER
  "max-concurrent-assigns": 9007199254740991, // Number.MAX_SAFE_INTEGER
  "comment-element-pricing": {
    /* https://github.com/syntax-tree/mdast#nodes */
    "strong": 0 // Also includes italics, unfortunately https://github.com/syntax-tree/mdast#strong
    /* https://github.com/syntax-tree/mdast#gfm */
  }
}

Supabase Cron Job (logs-cleaner)

Dashboard > Project > Database > Extensions

Search PG_CRON and Enable it.

Dashboard > Project > SQL Editor

-- Runs everyday at 03:00 AM to cleanup logs that are older than a week
-- Use the cron time format to modify the trigger time if necessary
select
  cron.schedule (
    'logs-cleaner', -- Job name
    '0 3 * * *', -- Everyday at 03:00 AM
    $$DELETE FROM logs WHERE timestamp < now() - INTERVAL '1 week'$$
  );


-- Cancel the cron job
select cron.unschedule('logs-cleaner');