Added context-layer to current release

[pleasingsunlight]

added:

• Integrated parser, chunker, embedder, and Phase2 member1 integration #6 vector store
• Added context-aware review using Groq LLM
• Connected full RAG pipeline in main.py
• Optimized prompts.py
• adding context parameter for generate_review function in groq_client.py
• deleting unnecessary {diff} calls
• implementation for vector indexing using ChromaDB.
• The pipeline now supports RAG-based context retrieval for improved code reviews.

[github-actions]

Automated Code Review Comment:

Bugs

• None

Improvements

• The build_context function does not handle encoding errors when reading files. Consider adding error handling for this.
• The chunk_code function does not check for empty strings before chunking. This might lead to inefficient handling of empty files.
• The get_pr_diff function uses git diff HEAD~1 HEAD which may not capture all changes in a pull request. Consider using git diff origin/main...HEAD instead.

Suggestions

• Best practices or optimizations:
  • The chunk_code function could be optimized by using a list comprehension instead of appending to a list in a loop.
  • The build_context function could use a more efficient method of reading files, such as using a generator expression instead of reading the entire file into memory.
  • Consider using type hints for function parameters and return types to improve code readability.
  • The generate_review function could be improved by adding more context to the review prompt, such as including information about the repository or the pull request.
  • Consider using a more robust method of storing and retrieving embeddings, such as using a database or a dedicated vector store.
  • The main function could be improved by adding more logging or error handling to help with debugging.

The code looks generally well-structured and follows good practices. However, there are a few areas that could be improved for better performance, readability, and robustness.

Code looks good ✅

[haddybhaiya]

looks good to me!!

[pleasingsunlight]

Good to go!

[haddybhaiya]

reviewed it , thanks for your efforsts!