ai-engineering-hub icon indicating copy to clipboard operation
ai-engineering-hub copied to clipboard

Bug Fixes: Error Handling and Stability Improvements #108

Open chojuninengu opened this issue 8 months ago • 1 comments

This PR addresses issue #108 by improving the application's error handling and session state management with the following changes:

Error Handling Improvements

  • Added specific error types (ValidationError, ProcessingError, QueryEngineError, SessionError)
  • Implemented retry mechanism for API calls with configurable retries and delay
  • Enhanced error messages with more context and better user feedback
  • Added proper cleanup procedures in error cases
  • Improved logging with timestamps and log levels

Session State Management

  • Created dedicated session state initialization function
  • Added proper cleanup procedures for resources
  • Improved state variable organization
  • Added context management for better data handling

Code Organization

  • Separated concerns into dedicated functions
  • Added proper docstrings and type hints
  • Improved function signatures
  • Better error handling patterns

These changes make the application more robust, easier to maintain, and provide better feedback to users when errors occur.

Closes #108

Summary by CodeRabbit

  • New Features

    • Improved error messages with more specific feedback for different error types.
    • Added automatic retry for certain operations to increase reliability.
    • Enhanced session management with better cleanup and reset capabilities.
  • Refactor

    • Streamlined and modularized the user interface for easier navigation and clearer workflows.
    • Improved logging with timestamps and log levels for better user support and troubleshooting.
  • Bug Fixes

    • Resolved issues with session cleanup and error handling during repository loading and chat interactions.

chojuninengu avatar Apr 29 '25 12:04 chojuninengu

Walkthrough

The code refactors the Streamlit application in github-rag/app.py by introducing structured exception classes for different error categories, replacing generic exceptions. It adds a retry decorator to handle transient failures and modularizes the application logic into dedicated functions for session state initialization, repository loading, and chat message handling. Session cleanup is centralized in a new function that manages cached files and memory. Error handling is enhanced with specific exceptions, user-friendly messages, and detailed logging. The main application flow is restructured for clarity, and logging is improved with timestamps and log levels.

Changes

File(s) Change Summary
github-rag/app.py Refactored to introduce custom exception classes for validation, processing, query engine, and session errors; added a retry decorator for retrying operations; modularized logic into functions for session state, repository loading, and chat handling; centralized session cleanup; improved error handling and logging; restructured main Streamlit app flow.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant StreamlitApp
    participant RepoProcessor
    participant QueryEngine

    User->>StreamlitApp: Enter GitHub URL & click Load
    StreamlitApp->>RepoProcessor: validate_github_url(url)
    RepoProcessor-->>StreamlitApp: ValidationError? (if invalid)
    StreamlitApp->>RepoProcessor: process_with_gitingets(url) (with retry)
    RepoProcessor-->>StreamlitApp: ProcessingError? (on failure)
    RepoProcessor->>QueryEngine: create_query_engine(content_path, repo_name)
    QueryEngine-->>StreamlitApp: QueryEngineError? (on failure)
    StreamlitApp->>SessionState: Update with repo & engine

    User->>StreamlitApp: Enter chat prompt
    StreamlitApp->>QueryEngine: Query with prompt
    QueryEngine-->>StreamlitApp: Return response
    StreamlitApp->>SessionState: Append chat history

    User->>StreamlitApp: Click Reset
    StreamlitApp->>SessionState: cleanup_session()

Assessment against linked issues

Objective Addressed Explanation
Standardize error handling, improve error messages, add recovery mechanisms (#108)
Implement retry mechanisms and standardize error handling for API/integration (#108)
Implement proper session cleanup, resource management, and standardize session state (#108)
Address Unsloth/model loading warnings and memory management (#108) No changes related to Unsloth or model loading in this PR.

Possibly related PRs

  • patchy631/ai-engineering-hub#109: Extends and modularizes error handling and session management, introducing similar exception subclasses, retry logic, and Streamlit app refactoring.

Suggested reviewers

  • patchy631

Poem

In the garden of code, I hop with delight,
Structured errors now guide us through night.
With retries and logs, the bugs take their flight,
Sessions are tidy, the logic is bright.
Modular bunnies, we leap without fright—
This patch brings stability, all feels just right!
🐇✨

✨ Finishing Touches
  • [ ] 📝 Generate Docstrings

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ 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.
  • @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
  • @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.

coderabbitai[bot] avatar Apr 29 '25 12:04 coderabbitai[bot]