Assignees: @leonvanbokhorst

[leonvanbokhorst]

Labels: enhancement, documentation
Milestone: Phase Phase 1
Projects: friction-flow
Fixes #13

Summary by Sourcery

Enhance language model classes with comprehensive docstrings and improve logging configuration. Update issue templates for better clarity and consistency. Expand test coverage for language models and embedding cache, adding new test cases for various scenarios.

Enhancements:

• Add detailed docstrings to language model classes and methods for better clarity and understanding.
• Improve logging setup with detailed docstrings and configuration handling.
• Enhance EmbeddingCache with additional methods for cache management and introspection.

Documentation:

• Update issue templates for bug reports and general issues to improve clarity and consistency.

Tests:

• Enhance test coverage for language models and embedding cache, including new test cases for cache behavior and model interactions.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR focuses on improving code documentation and maintainability across several Python modules. The changes primarily involve adding detailed docstrings to classes and methods, enhancing code readability through better formatting, and implementing additional functionality in the EmbeddingCache class.

Updated class diagram for LanguageModel and its interfaces

classDiagram
    class LanguageModel {
        +logger
        +embedding_cache: EmbeddingCache
        +generate_embedding(text: str) List[float]
        +cleanup() None
    }
    class OllamaInterface {
        +chat_model_name
        +embedding_model_name
        +_setup_models() None
    }
    class LlamaInterface {
        +chat_model_path
        +embedding_model_path
        +optimal_config
        +_setup_models() None
    }
    LanguageModel <|-- OllamaInterface
    LanguageModel <|-- LlamaInterface
    note for LanguageModel "Abstract base class for language models"
    note for OllamaInterface "Interface for the Ollama language model"
    note for LlamaInterface "Interface for the Llama language model"

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Updated class diagram for EmbeddingCache

classDiagram
    class EmbeddingCache {
        -_cache: Dict[str, List[float]]
        +get_stable_hash(text: str) str
        +get(key: str) Optional[List[float]]
        +set(key: str, value: List[float]) None
        +clear() None
        +__len__() int
        +__contains__(key: str) bool
        +update(items: Dict[str, List[float]]) None
    }
    note for EmbeddingCache "Hash-based cache for storing embeddings"

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File-Level Changes

Change	Details	Files
Enhanced documentation for language model implementations	Added comprehensive docstrings to LanguageModel base class Added detailed documentation to OllamaInterface class and methods Added detailed documentation to LlamaInterface class and methods Added documentation to async_error_handler decorator	src/language_models.py
Extended EmbeddingCache functionality and documentation	Added detailed class and method docstrings Implemented len method for cache size tracking Added contains method for key existence checking Added update method for bulk cache updates	src/embedding_cache.py
Improved test documentation and organization	Added explanatory comments to test cases Improved test structure with better section organization Enhanced mock configuration documentation	tests/test_language_models.py tests/test_embedding_cache.py
Enhanced logging configuration documentation and type hints	Added detailed docstrings to logging setup functions Added return type annotations Improved function parameter documentation	src/logging_config.py src/config.py
Improved issue templates formatting	Enhanced markdown formatting in bug report template Improved readability of issue template with better spacing	.github/ISSUE_TEMPLATE/bug_report.md .github/ISSUE_TEMPLATE/issue-.md

Assessment against linked issues

Issue	Objective	Addressed	Explanation
#13	Add Google-style docstrings to all public functions and methods	✅
#13	Add or improve inline comments for complex logic	✅
#13	Add type annotations for functions	✅

Possibly linked issues

• Assignees: @leonvanbokhorst Labels: enhancement, documentation Milestone: Phase Phase 1 Projects: friction-flow #13: The PR adds docstrings and comments, addressing tasks 1, 2, and 3 of the issue.
• Assignees: @leonvanbokhorst Labels: enhancement, documentation Milestone: Phase Phase 1 Projects: friction-flow #13: The PR enhances documentation and refactors LanguageModel, aligning with the issue's refactoring goal.

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[sourcery-ai]

Hey @leonvanbokhorst - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider removing unnecessary f-strings in logging statements where no string interpolation is needed (e.g., logger.info(f"Initialized Chroma vector store") should be logger.info("Initialized Chroma vector store"))

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟡 Testing: 4 issues found
• 🟢 Complexity: all looks good
• 🟡 Documentation: 1 issue found

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