Improvements and validation #32
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WalkthroughThe pull request introduces adjustments across several components of the project. In the version control settings, the ✨ Finishing Touches
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Actionable comments posted: 2
🔭 Outside diff range comments (1)
intentguard/infrastructure/llamafile.py (1)
138-224: 🛠️ Refactor suggestionAdd concurrency safety for the ephemeral port startup.
Currently,_ensure_processtrusts the port is still free on server startup. Especially under high load or slower machines, a race condition can occur. Consider retry logic or a more robust approach if reliability is paramount.
🧹 Nitpick comments (5)
validation/README.md (1)
1-32: Well-structured validation framework documentationThe README provides clear documentation for the Model Validation Framework with a comprehensive explanation of the methodology, test configuration, success criteria, metrics, and implementation notes. The approach with multiple trials and majority voting is robust for ensuring model consistency.
Consider adding a simple diagram or visualization to illustrate the trial and voting mechanism described. A visual representation could make the methodology even clearer for new contributors.
validation/validate.py (1)
13-14: Add a docstring to clarify dataset source and usage.
While the dataset loading logic is concise, adding a brief docstring would improve maintainability and clarity regarding the dataset’s structure and purpose.def load_test_dataset(): + """ + Loads the test dataset from kdunee/IntentGuard-1-alpaca-format. + Returns the test split for validation processing. + """ return load_dataset("kdunee/IntentGuard-1-alpaca-format", split="test")intentguard/infrastructure/llamafile.py (3)
29-33: Consider making these constants configurable.
LLAMAFILE_URL,LLAMAFILE_SHA256, andMAX_RETRY_ATTEMPTSmight change over time. Making them environment-driven or user-configurable could reduce maintenance efforts.
52-68: Leverage a temporary file to avoid partial downloads.
While this flow downloads the file directly totarget_path, a network interruption can leave a corrupted file. Using a temporary file (and then atomic rename) would further guarantee integrity.def download_file(url: str, target_path: Path, expected_sha256: str): logger.info(f"Downloading {url} to {target_path}...") target_path.parent.mkdir(parents=True, exist_ok=True) - urllib.request.urlretrieve(url, target_path) + temp_path = target_path.with_suffix(".tmp") + urllib.request.urlretrieve(url, temp_path) + temp_path.rename(target_path) if not verify_checksum(target_path, expected_sha256): ...
257-335: Implement stricter JSON parsing or a schema-based approach.
Relying on raw JSON parsing could miss partial or invalid responses. Using a JSON schema validation or more granular checks (e.g.,if "result" not in llm_response) can offer additional robustness.
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📒 Files selected for processing (7)
.gitignore(1 hunks)ai_research/dataset_generation/domain/category.go(1 hunks)intentguard/infrastructure/fs_judgement_cache.py(1 hunks)intentguard/infrastructure/llamafile.py(10 hunks)validation/README.md(1 hunks)validation/requirements.txt(1 hunks)validation/validate.py(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- validation/requirements.txt
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: test
🔇 Additional comments (7)
.gitignore (1)
2-2: Good improvement to the virtual environment patternChanging from
/.venvto/.venv*is a good practice as it will now ignore any virtual environment directories with variations in naming (like.venv-py3.9,.venv-dev, etc.), providing more flexibility for different development setups.intentguard/infrastructure/fs_judgement_cache.py (1)
27-27: Better organization with dedicated cache subdirectoryMoving the cache files into a dedicated subdirectory (
cache) within the.intentguarddirectory is a good structural improvement. This change isolates cache files from other potential configuration files in the main directory, making the structure more organized and maintainable.ai_research/dataset_generation/domain/category.go (1)
19-21: Good addition of new categoriesThe three new categories ("Function/Method Calls and Arguments", "Variable Scope and Lifetime", and "Control Flow Understanding") expand the system's capabilities for dataset generation. These categories align well with code comprehension tasks and will provide more variety in the randomly selected categories.
validation/validate.py (1)
1-10: Imports and logger setup look good.
No issues found with the usage of standard libraries (json,logging,tqdm, etc.) and the logger initialization.intentguard/infrastructure/llamafile.py (3)
70-80: File checksum checks look good.
Re-downloading the file only when the checksum fails is an efficient optimization. No changes needed.
83-92: Potential race condition when picking a free port.
Another process could claim the port after we close the socket and before the server binds. For local development, this is typically acceptable, but production scenarios may require a more robust solution.
225-256: Validate the response more thoroughly.
The_send_http_requestmethod logs errors on non-200 statuses, but further checks (e.g., validating headers, JSON schema) could help catch malformed or unexpected responses. This is especially relevant if Llamafile changes its API in the future.
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