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Implement Risk Analysis Engine #144

@mftee

Description

@mftee

Create high-performance rules engine for document risk assessment

Description:
Build a Rust-based rules engine that analyzes document data and calculates risk scores based on configurable rules.

Requirements:

  • Rules engine with JSON/YAML configuration
  • Pattern matching for text analysis
  • Spatial queries for land overlap detection
  • Statistical analysis (outlier detection)
  • Configurable risk weights
  • Parallel processing for batch analysis
  • FFI bindings for Node.js
  • CLI tool for analysis
  • Performance benchmarks (>1000 docs/sec)
  • Rule validation system

Acceptance Criteria:

  • Rules engine executes accurately
  • Configuration is flexible
  • Performance meets benchmarks
  • Spatial queries are correct
  • CLI tool processes files
  • FFI bindings are stable
  • Comprehensive tests
  • Documentation with rule examples

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