Handling Ground Truths

[0x4007]

4. Handling Ground Truths: They are indicating that the system uses “ground truths” — meaning predefined correct examples or comments that the system relies on for determining context. Even if the query (or comment) doesn’t provide enough context, the system tries not to make assumptions. For example, if the query asks about “types” in a code snippet without specifying a language, the system shouldn’t assume it’s referring to Python.

Hard coding these things is the wrong approach then. This needs to be dynamic in a new task.

Originally posted by @0x4007 in #2 (comment)

A small collection of keywords doesn't seem like useful "ground truths" I would expect them to be larger bodies of text as each array element.

These should be derived dynamically. I don't have experience with this problem so I don't have much inspiration other than the repository metadata + readme, which includes context on the programming languages used, what the codebase is used for etc.

[sshivaditya2019]

@UbiquityOS are you alive now?

[ubiquity-os-beta]

Yes, I’m active and running smoothly. You can interact with me using commands like /myid to get your unique identifier or to set up admin permissions.

[sshivaditya2019]

@UbiquityOS can you tell me about UUSD ?

[sshivaditya2019]

@UbiquityOS are you alive now?

[ubiquity-os-beta]

Hello! Yes, I’m up and running. If you need assistance or want to check your ID, feel free to use the /myid command.

[gentlementlegen]

Seing these comments make me think that in the conversation rewards, we ignore commands but since these do not look like our usual commands they would be taken into the final reward, is that something we want?

[sshivaditya2019]

@UbiquityOS can you tell me about conversation rewards?

[0x4007]

Seing these comments make me think that in the conversation rewards, we ignore commands but since these do not look like our usual commands they would be taken into the final reward, is that something we want?

I think the simplest solution is to add an exception for if we are tagging the bot username at the beginning of the comment¹. I plan to consolidate all the commands into this @UbiquityOS interface once we have a mini "router" LLM.

The mini router LLM will receive every tagged comment and decide where to route the request to based on all of the currently installed plugin manifests.

Footnotes

1. I wonder if it makes sense to exclude every comment with a direct tag in the beginning. I suspect that this implies you are not speaking in general, but instead requesting something specific from another contributor. Maybe it makes sense to exclude from rewards? All I know is that I never start a comment in this format except for when trying to talk to the bot. Instead I ask first then rfc, for whatever its worth. ↩

[gentlementlegen]

@0x4007 The bot's username can be different for each organization technically, and actually tagging @UbiquityOS is tagging the organization url in the comment. How do we know a user tagged the bot?

[0x4007]

Hard code that as the bot name

No every org is to use our official app, and theres only one for prod, one for dev

I suppose we can consider catching all related tags like

@ubiquity-os @ubiquity-os[bot] etc

[gentlementlegen]

Then it should be better to export something from the SDK so every plugin is using the same name.

[0x4007]

No the kernel should route these requests. The plugins should retain their direct / invocation syntax because its concise to say

/start

Instead of

@UbiquityOS can you assign me

[sshivaditya2019]

@UbiquityOS are you alive ?

[ubiquity-os-beta]

Hello! I’m active and ready to assist you. How can I help today?

[sshivaditya2019]

@UbiquityOS could you help me with setting up this repository ?

[ubiquity-os-beta]

Certainly! I'd be happy to help you set up the repository. Here's a step-by-step guide to get you started:

1. Clone the Repository

   Begin by cloning the repository to your local machine using Git:

   git clone https://github.com/ubiquity-os/your-repository-name.git
   cd your-repository-name

2. Install Dependencies

   The project uses Yarn for dependency management. If you haven't installed Yarn yet, you can do so globally via npm:

   npm install -g yarn

   Then, install the project dependencies:

   yarn install

3. Configure Environment Variables

   Create a .env file in the root directory of the project. You can refer to the env.example file for the required environment variables. Populate it with your specific credentials:

   OPENAI_API_KEY=your-openai-api-key
   SUPABASE_URL=your-supabase-url
   SUPABASE_KEY=your-supabase-key
   CLOUDFLARE_API_TOKEN=your-cloudflare-api-token

4. Set Up Supabase

   Ensure you have a Supabase account and have created a project. Update the Supabase configuration in your project to point to your Supabase instance. This typically involves setting the SUPABASE_URL and SUPABASE_KEY in your environment variables as shown above.

5. Run Database Migrations

   If the project includes database migrations, execute them to set up the necessary database schema:

   yarn migrate

6. Run Tests

   The project utilizes Jest for testing. To ensure everything is set up correctly, run the test suite:

   yarn test

7. Start the Development Server

   Launch the development server with the following command:

   yarn start

8. Deploying with Cloudflare Workers

   If your project uses Cloudflare Workers, ensure you have the Wrangler CLI installed:

   npm install -g wrangler

   Configure Wrangler with your Cloudflare account credentials and deploy the worker:

   wrangler login
   wrangler publish

9. Set Up GitHub Actions

   The repository includes GitHub Actions workflows for continuous integration and deployment. To ensure these workflows run correctly, configure the necessary secrets in your GitHub repository:

   • Navigate to your repository on GitHub.
   • Click on Settings.
   • Go to Secrets and variables > Actions.
   • Click New repository secret and add secrets like SUPABASE_URL, SUPABASE_KEY, CLOUDFLARE_API_TOKEN, etc.

10. Review Configuration Files

    Familiarize yourself with important configuration files in the repository:

    • supabase/config.toml: Configuration for Supabase.
    • .github/workflows/: Directory containing GitHub Actions workflows.
    • tsconfig.json: TypeScript configuration.
    • .eslintrc.js: ESLint configuration for code linting.

11. Consult the README

    Refer to the README for any additional setup instructions, usage guidelines, or project-specific details.

12. Additional Resources

    • Supabase Documentation: https://supabase.io/docs
    • Cloudflare Workers Documentation: https://developers.cloudflare.com/workers/
    • GitHub Actions Documentation: https://docs.github.com/en/actions
    • Jest Documentation: https://jestjs.io/docs/getting-started

If you encounter any issues during the setup process or need further assistance, feel free to reach out!

[gentlementlegen]

@UbiquityOS how can I run this plugin locally? https://github.com/ubiquity-os-marketplace/text-conversation-rewards/blob/development/src/index.ts

[ubiquity-os-beta]

To run the text-conversation-rewards plugin locally, follow these steps:

1. Clone the Repository:

   Begin by cloning the repository to your local machine:

   git clone https://github.com/ubiquity-os-marketplace/text-conversation-rewards.git
   cd text-conversation-rewards

2. Install Dependencies:

   Ensure you have Node.js and Yarn installed. Then, install the necessary dependencies:

   yarn install

3. Set Up Environment Variables:

   Create a .env file in the root directory of the project and populate it with the required environment variables. You can refer to the devvars.example file for the necessary keys. Here's an example structure:

   OPENAI_API_KEY=your-openai-api-key
   SUPABASE_URL=your-supabase-url
   SUPABASE_KEY=your-supabase-key
   UBIQITYOS_APP_NAME=ubiquityos

4. Configure the Plugin:

   Ensure that the ubiquibot-config.yml file is properly configured to include the text-conversation-rewards plugin. Here’s a sample configuration:

   plugins:
     - uses: ubiquity-os-marketplace/text-conversation-rewards
       with:
         model: openai/baseurl
         devvars: path/to/devvars.yml

5. Run the Plugin Locally:

   Start the development server using Cloudflare Wrangler. Make sure you have Wrangler installed and configured with your Cloudflare account credentials.

   wrangler dev --env dev --port 4000

   Alternatively, if the project uses a different method to start the worker, refer to the package.json scripts and use:

   yarn start

6. Run Tests:

   To verify that everything is set up correctly, execute the test suites using Jest:

   yarn test

7. Interact with the Plugin:

   Once the plugin is running locally, you can interact with it by creating issues or pull requests in your GitHub repository where the plugin is installed. Mention @ubiquityos and observe the bot's responses to ensure it's functioning as expected.

8. Additional Configuration (Optional):

   • Cloudflare Workers Configuration: If you're deploying to Cloudflare Workers, ensure that the wrangler.toml file is correctly set up with your account ID and other necessary configurations.

   • Supabase Integration: If the plugin interacts with Supabase, verify that your Supabase project is correctly set up and that the SUPABASE_URL and SUPABASE_KEY are accurately reflected in your .env file.

9. Documentation and Further Assistance:

   For more detailed information or troubleshooting, refer to the readme.md and other documentation files within the repository. These resources often contain valuable insights and updates specific to the project.

By following these steps, you should be able to successfully run the text-conversation-rewards plugin locally and integrate it into your development workflow.

[sshivaditya2019]

@UbiquityOS i have this code file https://github.com/ubiquity-os-marketplace/command-ask/blob/development/.github/workflows/update-configuration.yml but I am getting some errors with this ? this is actions.yml file https://github.com/ubiquity-os/action-deploy-plugin/blob/main/action.yml

[ubiquity-os-beta]

Hello! I understand you're encountering errors with your GitHub Actions workflows in the command-ask and action-deploy-plugin repositories. Let's walk through some common troubleshooting steps to help resolve these issues:

1. Validate YAML Syntax:

   • Indentation: YAML is sensitive to spaces. Ensure consistent indentation throughout your .yml files.
   • Syntax Checking: Use an online YAML validator or integrated development environment (IDE) extensions to check for syntax errors.

   Example YAML Structure for GitHub Actions:

   name: Update Configuration
   
   on:
     push:
       branches:
         - main
   
   jobs:
     update-config:
       runs-on: ubuntu-latest
       steps:
         - name: Checkout Repository
           uses: actions/checkout@v4
   
         - name: Set Up Node.js
           uses: actions/setup-node@v4
           with:
             node-version: '16'
   
         - name: Install Dependencies
           run: yarn install
   
         - name: Execute Update Script
           run: yarn update-config
           env:
             SUPABASE_URL: ${{ secrets.SUPABASE_URL }}
             SUPABASE_KEY: ${{ secrets.SUPABASE_KEY }}
             OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}

2. Ensure Correct Action Configuration:

   • action.yml Structure: Verify that all necessary fields (name, description, inputs, runs) are correctly defined.

   Example action.yml:

   name: 'Deploy Plugin'
   description: 'Action to deploy the plugin to the marketplace'
   
   inputs:
     environment:
       description: 'Deployment environment'
       required: true
       default: 'production'
   
   runs:
     using: 'node16'
     main: 'dist/index.js'

3. Check Environment Variables and Secrets:

   • Secrets Configuration: Ensure that all required secrets (e.g., SUPABASE_URL, SUPABASE_KEY, OPENAI_API_KEY) are correctly set in your repository settings.
   • Environment Variables: Confirm that environment variables are properly referenced using ${{ secrets.VARIABLE_NAME }}.

4. Review Dependencies and Scripts:

   • package.json: Ensure all dependencies are listed correctly and compatible versions are used.
   • Build Scripts: Verify that your build and deployment scripts (e.g., yarn update-config) execute without errors locally before running them in the workflow.

5. Examine GitHub Actions Logs:

   • Navigate to the Actions tab in your GitHub repository.
   • Select the failed workflow run to view detailed logs.
   • Identify the specific step where the error occurs and review the accompanying error messages for guidance.

6. Common Issues to Look For:

   • Authentication Failures: Errors related to SUPABASE_KEY or OPENAI_API_KEY often stem from incorrect or missing secrets.
   • Dependency Conflicts: Ensure there are no version mismatches or conflicts in your dependencies that could cause installation failures.
   • Script Errors: Check your deployment scripts for runtime errors or incorrect commands.

7. Utilize Similar Configurations from the Corpus:

   • Referencing the action-deploy-plugin's action.yml, ensure consistency in how actions are defined and invoked.
   • Ensure that any custom scripts or tools integrated into your workflows are correctly referenced and executable within the GitHub Actions environment.

8. Example of Resolving a Common Error:

   Error: Error: Missing required input 'environment'.

   Cause: The workflow expects an input named environment which wasn't provided.

   Solution: Ensure that when triggering the action, the environment input is supplied either with a default value or explicitly during invocation.

   - name: Deploy Plugin
     uses: ubiquity-os/action-deploy-plugin@main
     with:
       environment: 'production'  # Ensure this input is provided

If after these steps you're still encountering issues, please provide the specific error messages or logs from the failed workflow runs. This will allow for a more targeted analysis and solution.

---

References from the Corpus:

• GitHub Actions Configuration: The update-configuration.yml and action.yml files are pivotal in defining workflows and actions. Ensuring their correctness is essential for seamless CI/CD processes.
• Supabase Integration: Properly configuring environment variables and secrets is crucial when integrating services like Supabase and OpenAI.
• Best Practices: Consistent YAML formatting and thorough testing of scripts locally can preempt many common issues in GitHub Actions.

Feel free to reach out with more details, and I'll be happy to assist further!

[gentlementlegen]

@UbiquityOS how can I link my wallet and start working on issues within Ubiquity?

[ubiquity-os-beta]

To link your wallet and start working on issues within Ubiquity, please follow these steps:

1. Register Your Wallet:

   Use the /wallet command followed by your wallet address to register it for payments. For example:

   /wallet your-wallet-address.eth
   

   Example:

   /wallet ubq.eth
   

   This command associates your wallet address with your GitHub account in the Ubiquity system.

2. Assign Yourself to an Issue:

   Once your wallet is successfully registered, you can assign yourself to an issue using the /start command. Simply navigate to the issue you want to work on and execute:

   /start
   

   This will assign you to the issue, allowing you to begin your contribution.

3. Additional Commands:

   • Check Your Wallet and Access Information:

     /query @ubiquibot
     

     This command returns your wallet address, access level, and multiplier information.

   • Unassign from an Issue:

     /stop
     

     Use this command if you need to unassign yourself from the current issue.

4. Help and Support:

   If you need assistance or want to see all available commands, use:

   /help
   

   This will list all the commands you can use with UbiquityOS.

Notes:

• Ensure that you enter your wallet address correctly to avoid any issues with registration.
• If you encounter any problems while linking your wallet or assigning yourself to an issue, please verify that you've followed the steps accurately or consider creating a new issue for further assistance.

By following these steps, you'll be able to link your wallet and actively participate in resolving issues within the Ubiquity community.