Added
- Initial release extracted from OpenHCS
- Core utilities layer (DebounceTimer, ReorderableListWidget, BackgroundTask, etc.)
- Theming system (ColorScheme, PaletteManager, StyleSheetGenerator)
- Widget protocols and adapters (ABC-based contracts)
- Extended widgets (NoScrollSpinBox, NoneAwareCheckBox, etc.)
- Animation system (FlashMixin, WindowFlashOverlay, GlobalFlashCoordinator)
- Service layer (SignalService, WidgetService, ValueCollectionService, etc.)
- Widget factory infrastructure
- ParameterFormManager with ObjectState integration
- Comprehensive test suite
- Sphinx documentation
Dependencies
- PyQt6 >= 6.4.0
- objectstate >= 0.1.0
- python-introspect >= 0.1.0
Changelog
All notable changes to OpenHCS 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).
[Unreleased]
Added
Auto-Add Output Plate Feature
- **Automatic output plate registration** - New `auto_add_output_plate_to_plate_manager` config option in GlobalPipelineConfig
- When enabled, successfully completed plate runs automatically add the computed output plate to Plate Manager
- Allows immediate visualization of processed results without manual plate addition
- Environment variable: `OPENHCS_AUTO_ADD_OUTPUT_PLATE`
- Accessible via Config Window under Pipeline Settings
Compilation Architecture Improvements
- **Remote compilation via ZMQ server** - Compilation now happens on the ZMQ execution server instead of locally
- New shared `ZMQClientService` for managing ZMQ client connections between compilation and execution
- `CompilationService` and `ZMQExecutionService` now share a single client service instance
- Improved consistency and resource management across compile/run workflows
- Requires ZMQ server to be running for compilation (same as execution)
LLM-Powered Code Generation Improvements
- **LLM Assist in Code Editor** - Added LLM-powered code generation directly into the OpenHCS code editor
- **Automatic array backend handling** - Generated functions no longer require manual backend conversions (`cp.asnumpy()`, `cle.pull()`)
- **Context-aware system prompts** - New `get_system_prompt(code_type)` method provides different prompts for pipeline vs function generation
- **Array format clarification** - Documentation now specifies (C, Y, X) a.k.a. (Z, Y, X) format for 3D arrays
- **Memory decorator awareness** - LLM understands `numpy`, `cupy`, `pyclesperanto` decorators and their implications
- New `LLMPipelineService` for communicating with local LLM endpoints (Ollama)
- New `LLMChatPanel` widget with chat interface for natural language code generation
- Integrated LLM panel into `QScintillaCodeEditorDialog` with toggle button
- Context-aware generation for all code types (pipeline, step, config, function, orchestrator)
- Comprehensive system prompt with OpenHCS API documentation and examples
- Background thread execution to keep UI responsive during generation
- Side-by-side editor/chat layout using QSplitter
- Automatic code insertion at cursor position
- Clean markdown formatting removal from generated code
- Added `requests>=2.31.0` dependency for HTTP communication
- Comprehensive test suite for LLM service and chat panel