Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.6.0] - 2025-06-20

NEW AWS Cost Comparison Feature Integration
get_cost_and_usage_comparisons - Leverage AWS Cost Explorer's new Cost Comparison feature to compare costs between two time periods
get_cost_comparison_drivers - Automatically analyze the top 10 most significant cost change drivers using AWS's new API
Reduces manual cost analysis time from hours to seconds using AWS's built-in intelligence
Provides detailed breakdowns of cost drivers, including usage and discount changes Cost Forecasting Capabilities
get_cost_forecast - Generate cost forecasts based on historical usage patterns with confidence intervals (80% or 95%)
Support for daily and monthly forecast granularity for budget planning Modular Architecture
Refactored codebase into modular handler architecture for better maintainability
Separate handlers for cost usage, comparison, forecasting, metadata, and utility functions Enhanced Testing
Comprehensive test coverage for comparison features
Fixed duplicate test method definitions
Improved test reliability and error handling

Enhanced documentation for UsageQuantity metric with specific filtering requirements
Dynamic labeling for cost metrics based on grouping dimension (e.g., "Region Total" vs "Service Total")
Metadata support for usage metrics including grouped_by, metric type, and period information
Optimized JSON serialization that only runs stringify_keys when needed
Added Match_Option Validation

Usage metrics now return clean nested structure instead of complex pandas tuples
- Old: {("2025-01-01", "Amount"): {"EC2": 100}, ("2025-01-01", "Unit"): {"EC2": "Hours"}}
- New: {"GroupedUsage": {"2025-01-01": {"EC2": {"amount": 100, "unit": "Hours"}}}}
Improved UsageQuantity documentation to emphasize need for SERVICE + USAGE_TYPE filtering
Enhanced error handling for metric data processing