Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Integration of Goal Setting & Reflection to AI Mentor #235

Draft
wants to merge 49 commits into
base: develop
Choose a base branch
from

Conversation

milesha
Copy link
Contributor

@milesha milesha commented Jan 27, 2025

Motivation

To embrace reflective practices the AI Mentor should be able to ask and remember the long-term goals set by the user and analyse, whether the current progress aligns with those.

Description

The following diagram shows the current LangGraph graph structure:
Langgraph Diagram

  • A new folder /nodes added to structure node functions: we distinguish between:
    - mentor interaction nodes: generation of the output sent to the user
    - memory updates nodes: updating the long-term session memory
    - state updates nodes: updating the current conversation/graph state
  • New nodes and functions added to get, set and update the long-term user goals (goal updates currently add new goals to the list and don't re-write the existing ones for the future possibility of analysing the possible goal adjustment paths)

Testing Instructions

  1. Start intelligence-service, webapp and application-server
  2. Assign your user a mentor_access role
  3. Click on the "AI Mentor" button in the header and start your session:
  4. When starting your first session, mentor would ask you about your personal goals during the work on the project.
  5. After summarising each of the sessions you will be asked again about the current aligenement of the goals and progress.

Checklist

General

  • PR title is clear and descriptive
  • PR description explains the purpose and changes
  • Code follows project coding standards
  • Self-review of the code has been done
  • Changes have been tested locally
  • Screenshots have been attached (if applicable)
  • Documentation has been updated (if applicable)

Client (if applicable)

  • UI changes look good on all screen sizes and browsers
  • No console errors or warnings
  • User experience and accessibility have been tested
  • Added Storybook stories for new components
  • Components follow design system guidelines (if applicable)

Server (if applicable)

  • Code is performant and follows best practices
  • No security vulnerabilities introduced
  • Proper error handling has been implemented
  • Added tests for new functionality
  • Changes have been tested in different environments (if applicable)

@milesha milesha self-assigned this Jan 27, 2025
@github-actions github-actions bot added client application-server intelligence-service feature size:XXL This PR changes 1000+ lines, ignoring generated files. labels Jan 27, 2025
@github-actions github-actions bot added size:XL This PR changes 500-999 lines, ignoring generated files. and removed size:XXL This PR changes 1000+ lines, ignoring generated files. labels Jan 28, 2025
Copy link

coderabbitai bot commented Feb 11, 2025

Important

Review skipped

Draft detected.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai generate docstrings to generate docstrings for this PR. (Beta)
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
application-server client feature intelligence-service size:XL This PR changes 500-999 lines, ignoring generated files.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant