2 Commits

Author	SHA1	Message	Date
Anand Krishnamoorthi	5d8387f4d9	feat(hoist): pre-compute loop hoisting metadata at compilation time (#483) ... Introduce a compiler pass that analyzes and pre-computes loop hoisting information during policy compilation. This hoisted metadata is stored in lookup tables and made available to downstream consumers: - interpreter: use HoistedLoop entries during evaluation (replaces runtime scanning) - type inference: can leverage pre-computed loop structure for type propagation - RVM compiler: will consume hoisting metadata for optimized bytecode generation Changes: - populate loop hoisting tables during engine preparation and query snippet execution - refactor eval_stmts_in_loop and eval_output_expr_in_loop to consume HoistedLoop directly - add helper methods for accessing loop expressions, collections, and indices from HoistedLoop - extend Lookup with get_checked and into_slots for safe query context access and merging Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>	2025-10-08 11:11:30 -05:00
Anand Krishnamoorthi	db718654b5	feat: Add Schema Registry and Validation Framework (#456) ... * feat: Add Schema Registry and Validation Framework This commit introduces a comprehensive schema registry and validation framework, providing schema-based validation of resources and policy effects. - Thread-safe, in-memory registry for schema storage and management - Global registry patterns for effects and resources - Concurrent access with proper error handling - Unicode schema names support - JSON Schema-compliant validation for all primitive types - Advanced constraint validation (patterns, ranges, length limits) - Discriminated union support with anyOf schemas - Detailed error reporting with nested validation paths - Discriminated subobject validation for polymorphic schemas - **Registry Tests**: All registry operations - **Effect Tests**: Policy effect validation - **Resource Tests**: Resource validation - **Validation Tests**: Core validation engine - Thread-safety, error handling, integration scenarios, edge cases - **Dependencies**: dashmap, once_cell, regex - **Thread Safety**: Minimal locking with Rc<Schema> sharing - **Error Types**: TypeMismatch, OutOfRange, PatternMismatch, etc. - Complete schema registry and validation subsystem - Comprehensive test coverage - Foundation for policy validation in Regorus Benchmarks: - Criterion benchmarks for basic types, effects and Azure resources - Performance range: 3.22ns (string) to 34.74µs (Azure VM resource schema validation) - String withs patterns validation: 30.2µs. Need to explore whether regex caching helps bring this down. - Azure policy effects: 188ns-1.4µs Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com> * Address PR feedback - move error to a separate file - use meaningful var names Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com> * Refactor - Reusable Registry struct - Split and simplify tests Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com> --------- Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>	2025-08-14 15:59:30 -05:00