# Changelog

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

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [0.1.0] - 2025-11-16

### Added

#### Core Components
- Formal specification system with temporal logic (ALWAYS, EVENTUALLY, WITHIN, UNTIL)
- Architecture representation with components, connections, and patterns
- Evidence tracking with Bayesian confidence updates
- Reasoning graph with DAG validation and confidence propagation
- Main UPIR class integrating all components with JSON serialization

#### Verification
- SMT-based verification using Z3 solver
- Support for all temporal operators with time bounds
- Proof caching for incremental verification (274x speedup potential)
- Compositional verification for large systems
- Counterexample extraction for failed properties

#### Synthesis
- CEGIS (Counterexample-Guided Inductive Synthesis) implementation
- Program sketches with typed holes (integer, expression, predicate, component)
- SMT-based hole filling with constraint satisfaction
- Heuristic fallback for complex synthesis problems
- Full synthesis loop with refinement

#### Learning & Optimization
- PPO (Proximal Policy Optimization) implementation for architecture evolution
- Architecture learning from production metrics
- Constrained optimization respecting resource budgets
- Multi-objective optimization (latency, cost, throughput, availability)

#### Pattern Management
- Pattern library with 10 built-in patterns
  - Microservices, Event-Driven, CQRS, Event Sourcing
  - Circuit Breaker, Bulkhead, Retry with Backoff
  - Lambda Architecture, Polyglot Persistence, API Gateway
- ML-based pattern extraction using clustering
- Pattern recommendations based on specifications
- Pattern search by name, tags, and components

#### Documentation
- Complete MkDocs documentation with Material theme
- API reference auto-generated from docstrings
- Getting started guides (installation, quickstart, concepts)
- User guides (specifications, verification, synthesis, learning, patterns)
- Contributing guides and style documentation

#### Examples
- E-commerce microservices architecture (10 services, event-driven)
- Real-time streaming data pipeline (Lambda architecture, 10K+ events/sec)
- High-availability API service (multi-region, 99.99% SLA)
- Each example with complete specifications, architectures, and verification

#### Testing & Quality
- 503 comprehensive tests with 92% coverage
- Core modules at 95-100% coverage
- Property-based testing for edge cases
- Integration tests for full workflows
- Documentation example tests

#### CI/CD
- GitHub Actions workflows for testing (Python 3.9-3.12)
- Automated linting with ruff and mypy
- Documentation deployment to GitHub Pages
- PyPI publishing automation
- Coverage enforcement (90% minimum)

### Implementation Notes

This is a clean-room implementation based solely on:
- TD Commons disclosure: https://www.tdcommons.org/dpubs_series/8852/
- Published academic papers (CEGIS, PPO, temporal logic)
- Public SMT solver documentation (Z3)

All features from the TD Commons disclosure are fully implemented and tested.

### Known Limitations

- Performance benchmarks not yet included (planned for future release)
- Visualization tools not included in CLI (planned)
- Web UI not included (planned)

### Dependencies

- **Required**: z3-solver>=4.12.2, numpy>=1.24.3, scikit-learn>=1.3.0
- **Optional**: Google Cloud libraries for GCP examples
- **Dev**: pytest, mypy, ruff, black, isort
- **Docs**: mkdocs, mkdocs-material, mkdocstrings

### Python Support

- Python 3.9, 3.10, 3.11, 3.12
- Tested on Linux, macOS, Windows

[0.1.0]: https://github.com/bassrehab/upir/releases/tag/v0.1.0
