Ubiquity DAO's GitHub Bot to automate DevPool management.

#!/bin/bash

git clone https://github.com/ubiquity/ubiquibot.git
cd ubiquibot
yarn
yarn tsc
yarn start:watch

• Copy .env.example to .env
• Update .env with the following fields:
• SUPABASE_URL: Add your Supabase project URL.
• SUPABASE_KEY: Add your Supabase project API key.
• LOGDNA_INGESTION_KEY: Get it from Memzo by creating an account, adding an organization, and copying the ingestion key on the next screen.
• FOLLOWUP_TIME: (optional) Set a custom follow-up time (default: 4 days).
• DISQUALIFY_TIME: (optional) Set a custom disqualify time (default: 7 days).

APP_ID and PRIVATE_KEY are here for internal developers to use. If you are an external developer, APP_IDand PRIVATE_KEY are automatically generated when you install the app on your repository.

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.

• This bot is designed to exist 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.

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 bounties.

To test the bot, you can:

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

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

SUPABASE_URL="XXX"
SUPABASE_KEY="XXX"

2. Create a new organization at Memzo. Add LOGDNA_INGESTION_KEY to the .env file:

LOGDNA_INGESTION_KEY ="XXX"

3. 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

4. yarn install
5. Open 2 terminal instances:
   • in one instance run yarn tsc --watch (compiles the Typescript code)
   • in another instance run yarn start:watch (runs the bot locally)
6. Open 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 bounty) and the bot should react.

You can, for example:

1. Create a new issue
2. Add a time label, ex: Time: <1 Day
3. At this point the bot should add a price label, you should see event logs in one of your opened terminals

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

You can use the bounty bot as a github app.

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

1. Bounty bot 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

1. Fork the ubiquibot repo and install the ubiquibot-qa app on 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

1. Update the version in package.json: yarn 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

Bounty bot is built using the probot framework so initially 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>
├── 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.
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├── bindings: A set of listeners to bind/process requests emitted by GitHub.
 It also has a function to load a project configuration.
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├── 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.
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├── 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.
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├── 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.
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├── utils A set of utility functions