LLM use for generating sythetic data

[AumPatel1]

Completed a TODO where llm is called for dataset generation keeping the orginal manual logic there as fallback

[greptile-apps]

Greptile Overview

Greptile Summary

This PR implements LLM-based synthetic data generation for test inputs and refactors the metric system to separate metric definitions from values.

Key changes:

• plexe/tools/datasets.py: Completed TODO by adding LLM calls to create_input_sample() for generating realistic synthetic data with proper fallback to manual logic
• plexe/internal/models/entities/metric.py: Refactored to separate _MetricDefinition from Metric class and added comparator caching to reduce memory usage
• Documentation: Added comprehensive codebase structure reference and model building walkthrough

Critical issue:

• The _MetricDefinition.__eq__ and __hash__ methods don't include epsilon, which will cause metrics with different epsilon values to be incorrectly treated as equal

Confidence Score: 3/5

• This PR has one critical logic bug that needs to be fixed before merging
• The LLM integration in datasets.py is well-implemented with proper error handling and fallback logic. However, the metric refactoring in metric.py has a critical bug where epsilon is missing from equality/hash methods, which will cause incorrect behavior when comparing metrics with different epsilon values. The documentation additions are excellent and safe.
• plexe/internal/models/entities/metric.py:163-175 - Fix missing epsilon in equality and hash methods

Important Files Changed

File Analysis

Filename	Score	Overview
plexe/tools/datasets.py	4/5	Added LLM-based synthetic data generation with fallback to manual logic - implementation looks good with proper error handling
plexe/internal/models/entities/metric.py	3/5	Refactored to separate metric definition from value with comparator caching, but epsilon is missing from _MetricDefinition equality/hash

[greptile-apps]

_{4 files reviewed, 1 comment}

_{Edit Code Review Agent Settings | Greptile}

[greptile-apps]

logic: epsilon is missing from both __eq__ and __hash__ methods. Two _MetricDefinition instances with different epsilon values will be treated as equal and have the same hash, causing incorrect comparator sharing.

Suggested change

	def __eq__(self, other) -> bool:
	"""Check if two metric definitions are equal."""
	if not isinstance(other, _MetricDefinition):
	return False
	return (
	self.name == other.name
	and self.comparator.comparison_method == other.comparator.comparison_method
	and self.comparator.target == other.comparator.target
	)
	def __hash__(self) -> int:
	"""Hash the metric definition."""
	return hash((self.name, self.comparator.comparison_method, self.comparator.target))
	def __eq__(self, other) -> bool:
	"""Check if two metric definitions are equal."""
	if not isinstance(other, _MetricDefinition):
	return False
	return (
	self.name == other.name
	and self.comparator.comparison_method == other.comparator.comparison_method
	and self.comparator.target == other.comparator.target
	and self.comparator.epsilon == other.comparator.epsilon
	)
	def __hash__(self) -> int:
	"""Hash the metric definition."""
	return hash((self.name, self.comparator.comparison_method, self.comparator.target, self.comparator.epsilon))

Prompt To Fix With AI

This is a comment left during a code review.
Path: plexe/internal/models/entities/metric.py
Line: 163:175

Comment:
**logic:** `epsilon` is missing from both `__eq__` and `__hash__` methods. Two `_MetricDefinition` instances with different epsilon values will be treated as equal and have the same hash, causing incorrect comparator sharing.

```suggestion
    def __eq__(self, other) -> bool:
        """Check if two metric definitions are equal."""
        if not isinstance(other, _MetricDefinition):
            return False
        return (
            self.name == other.name
            and self.comparator.comparison_method == other.comparator.comparison_method
            and self.comparator.target == other.comparator.target
            and self.comparator.epsilon == other.comparator.epsilon
        )
    
    def __hash__(self) -> int:
        """Hash the metric definition."""
        return hash((self.name, self.comparator.comparison_method, self.comparator.target, self.comparator.epsilon))
```

How can I resolve this? If you propose a fix, please make it concise.