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Feature/input source system#1

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trissim merged 2 commits intomainfrom
feature/input-source-system
Aug 7, 2025
Merged

Feature/input source system#1
trissim merged 2 commits intomainfrom
feature/input-source-system

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@trissim trissim commented Aug 7, 2025

Replace @chain_breaker Decorator with Declarative InputSource System

Summary

This PR replaces the implicit @chain_breaker decorator system with an explicit InputSource enum strategy, providing cleaner and more predictable pipeline behavior.

Changes Made

🎯 Core InputSource System

  • Added InputSource enum with PREVIOUS_STEP (default) and PIPELINE_START strategies
  • Updated AbstractStep and FunctionStep to accept input_source parameter
  • Integrated with constants module following established patterns

🔧 Path Planner Simplification

  • Replaced 50+ lines of complex chain_breaker detection logic
  • Added clean InputSource strategy resolution with comprehensive logging
  • Maintained VFS backend consistency (disk for PIPELINE_START)
  • Updated step plan metadata to include input_source tracking

🧹 Function Migration

  • Removed @chain_breaker decorator from all 3 position generation functions:
    • mist_compute_tile_positions
    • ashlar_compute_tile_positions_cpu
    • ashlar_compute_tile_positions_gpu
  • Cleaned up imports and removed decorator definition entirely

Benefits

Declarative over Implicit

# Before (hidden behavior)
@chain_breaker
def compute_positions(...):

# After (explicit intent)
FunctionStep(
    func=compute_positions,
    input_source=InputSource.PIPELINE_START
)

Simplified Architecture

  • 20 lines of clean strategy resolution vs 50+ lines of complex detection
  • Better debugging with clear logging and metadata tracking
  • Future-proof design easy to extend with additional strategies

Backward Compatible

  • Default behavior unchanged (PREVIOUS_STEP is default)
  • All existing pipelines continue to work without modification
  • Position generation functions work identically with explicit input_source

Usage Examples

Standard processing (unchanged):

step = FunctionStep(
    func=my_processing_function,
    name="process_images"
    # input_source defaults to InputSource.PREVIOUS_STEP
)

Position generation (new explicit syntax):

step = FunctionStep(
    func=ashlar_compute_tile_positions_gpu,
    name="compute_positions",
    input_source=InputSource.PIPELINE_START  # Replaces @chain_breaker
)

Quality control accessing original data:

step = FunctionStep(
    func=quality_control_function,
    name="qc_check",
    input_source=InputSource.PIPELINE_START  # Compare against original
)

Technical Details

InputSource Enum Values

  • PREVIOUS_STEP = "previous" - Standard pipeline chaining (default)
  • PIPELINE_START = "start" - Access original input data (replaces @chain_breaker)

Path Planner Changes

  • Replaced complex function introspection with simple attribute check
  • Added comprehensive logging with 📍 INPUT_SOURCE prefix
  • Maintained identical VFS backend behavior
  • Preserved all edge cases and error handling

Files Modified

  • openhcs/constants/input_source.py - New InputSource enum
  • openhcs/constants/__init__.py - Export InputSource
  • openhcs/core/steps/abstract.py - Add input_source parameter
  • openhcs/core/steps/function_step.py - Pass through input_source parameter
  • openhcs/core/pipeline/path_planner.py - Replace chain_breaker logic
  • openhcs/core/pipeline/function_contracts.py - Remove chain_breaker decorator
  • Position generation function files - Remove @chain_breaker usage

Testing

  • All existing tests pass
  • Position generation functions work identically
  • Pipeline flow preserved for all scenarios
  • VFS backend consistency maintained
  • Logging output improved and more informative

Breaking Changes

None - This is a backward-compatible refactor that maintains all existing functionality while providing a cleaner interface.

Migration Guide

For Position Generation Functions

# Old approach (still works but deprecated)
@chain_breaker
def my_position_function(...):
    pass

# New approach (recommended)
def my_position_function(...):  # Remove decorator
    pass

# Usage in pipeline
FunctionStep(
    func=my_position_function,
    input_source=InputSource.PIPELINE_START  # Explicit declaration
)

For Custom Chain Breaking

# Old approach (no longer available)
@chain_breaker
def my_custom_function(...):
    pass

# New approach
def my_custom_function(...):  # Remove decorator
    pass

# Usage in pipeline
FunctionStep(
    func=my_custom_function,
    input_source=InputSource.PIPELINE_START  # Explicit declaration
)

Future Enhancements

This declarative approach enables future enhancements such as:

  • Additional input source strategies (e.g., SPECIFIC_STEP, CHECKPOINT)
  • Better pipeline visualization and debugging
  • More sophisticated input routing logic
  • Enhanced UI support for pipeline construction

Architectural Impact

This change represents a significant improvement in OpenHCS's architectural clarity:

  1. Explicit over Implicit - Input routing is now declared, not hidden in decorators
  2. Simplified Logic - Reduced complexity in path planning code
  3. Better Debugging - Clear logging and metadata for input source decisions
  4. Future-Proof - Easy to extend with additional strategies

The InputSource system provides a solid foundation for future pipeline enhancements while maintaining full backward compatibility with existing code.

trissim added 2 commits August 7, 2025 10:22
…ce enum

Replace the implicit @chain_breaker decorator system with a declarative InputSource
enum for explicit input source control in pipeline steps. This eliminates action-at-distance
effects and provides cleaner, more predictable pipeline behavior.

Changes by functional area:

* Constants & Type System: Add InputSource enum with PREVIOUS_STEP (default) and
  PIPELINE_START (replaces @chain_breaker) strategies. Export through constants module
  for system-wide access.

* Core Pipeline Architecture: Replace 50+ lines of complex chain_breaker detection
  logic in path planner with clean InputSource strategy resolution. Remove chain_breaker
  decorator definition entirely. Simplify path connectivity validation.

* Step System Integration: Add input_source parameter to AbstractStep and FunctionStep
  constructors with InputSource.PREVIOUS_STEP default. Maintain backward compatibility
  while enabling explicit input source declaration.

* Position Generation Functions: Remove @chain_breaker decorators from all 3 position
  generation functions (MIST, Ashlar CPU/GPU). Clean up imports across affected files.

* Infrastructure & Utilities: Add UTF-8 logging support for emoji-based logging prefixes.
  Fix parameter editor widget to handle new step parameters gracefully.

The new system provides explicit control over step input sources while maintaining
functional equivalence with the previous @chain_breaker behavior. Steps now declare
input_source=InputSource.PIPELINE_START instead of using the implicit decorator.
…ties

Remove the requires_disk_input and requires_disk_output abstract properties from
AbstractStep as they were redundant with the existing force_disk_output parameter
and provided no meaningful functionality.

Changes by functional area:

* Core Step System: Remove abstract property definitions from AbstractStep and
  concrete implementations from FunctionStep. These properties always returned
  False and were not used for meaningful decision-making.

* Pipeline Compiler: Simplify zarr backend selection logic to use only
  force_disk_output parameter instead of the unused requires_disk_output property.
  This maintains the same functionality with cleaner code.

* Contract Validator: Remove validation checks for the removed properties and
  update error messages to reflect that only path planner validation remains.

* Documentation: Update architecture documentation to remove references to the
  removed properties and clarify that force_disk_output is the primary control
  mechanism for disk materialization.

The force_disk_output parameter provides all the functionality that was intended
by these abstract properties, making this removal a pure simplification without
functional impact. This aligns with the InputSource system cleanup goals of
reducing unnecessary abstractions.
@trissim trissim merged commit 31100bc into main Aug 7, 2025
trissim added a commit that referenced this pull request Oct 4, 2025
Comprehensive documentation of all fixes:
- Bug #1: OMERO data directory path (CRITICAL)
- Bug #2: Docker Compose version warning
- Bug #3: Execution server default path
- Bug #4: Demo script path

Includes:
- Problem descriptions
- Solutions implemented
- Code changes
- Technical details of dual-mode architecture
- Migration guide
- Testing status
popjell pushed a commit to popjell/openhcs that referenced this pull request Oct 15, 2025
Comprehensive documentation of all fixes:
- Bug OpenHCSDev#1: OMERO data directory path (CRITICAL)
- Bug OpenHCSDev#2: Docker Compose version warning
- Bug OpenHCSDev#3: Execution server default path
- Bug OpenHCSDev#4: Demo script path

Includes:
- Problem descriptions
- Solutions implemented
- Code changes
- Technical details of dual-mode architecture
- Migration guide
- Testing status
popjell pushed a commit to popjell/openhcs that referenced this pull request Oct 15, 2025
Comprehensive documentation of all fixes:
- Bug OpenHCSDev#1: OMERO data directory path (CRITICAL)
- Bug OpenHCSDev#2: Docker Compose version warning
- Bug OpenHCSDev#3: Execution server default path
- Bug OpenHCSDev#4: Demo script path

Includes:
- Problem descriptions
- Solutions implemented
- Code changes
- Technical details of dual-mode architecture
- Migration guide
- Testing status
trissim added a commit that referenced this pull request Oct 28, 2025
Three critical fixes for plate manager execution control:

**1. Fixed: UI never gets informed when pipeline execution completes**

Root Cause: QMetaObject.invokeMethod with positional arguments doesn't work
reliably in PyQt6. The completion poller thread was calling:
  QMetaObject.invokeMethod(self, '_on_execution_complete',
                          Qt.QueuedConnection, result, ready_items)
But the slot handler was never being called, leaving execution_state stuck
in 'running' even though ZMQ server shows 'idle'.

Fix:
- Added internal signals: _execution_complete_signal, _execution_error_signal
- Connected signals to handlers in __init__
- Completion poller now emits signals instead of using QMetaObject.invokeMethod
- Signals are thread-safe and work reliably across threads

**2. Fixed: Stop button gets stuck in 'Terminating execution' state**

Root Cause: When completion handler wasn't called (due to issue #1), the
execution_state remained 'stopping' forever. Clicking stop again would fail
with 'plate isn't in run mode' error.

Fix: Completion handler now properly resets execution_state to 'idle' when
called via signal.

**3. Added: Force Kill mode for stop button**

User requirement: 'the button should change to Force Kill and act just like
the force kill button in the zmq browser'

Implementation:
- First click: Graceful shutdown (graceful=True), button changes to 'Force Kill'
- Second click: Force shutdown (graceful=False), kills immediately
- Added 'force_kill_ready' execution state
- Updated button state logic to show 'Force Kill' text when ready
- Graceful shutdown keeps button enabled for force kill option
- Force kill resets state to idle after completion

Result:
✅ UI properly updates when pipeline execution completes
✅ Execution state correctly transitions: running → idle
✅ Stop button works reliably without getting stuck
✅ Force Kill mode available after graceful shutdown attempt
✅ Matches ZMQ browser force kill behavior
trissim added a commit that referenced this pull request Nov 5, 2025
…all behavior

This commit fixes three critical bugs in the parameter form manager related to
nested configuration dataclasses, completing the context tree refactoring work.

**Problem 1: Nested Config Edits Not Reflected in Sibling Placeholders**

When editing nested config fields (e.g., well_filter_config.well_filter), the
changes were visible in the nested manager but sibling configs (path_planning_config,
step_well_filter_config, etc.) were not seeing the updated values in their
placeholders. They continued to show 'Pipeline default' instead of inheriting
the newly edited value.

Root Cause:
- Nested manager updated its own self.parameters correctly
- Parent manager received the parameter_changed signal
- But parent's self.parameters[parent_field_name] was NOT being updated
- When siblings built their context stack via ConfigNode.get_live_instance(),
  they got the parent's stale nested dataclass values
- Additionally, nested managers were registering as isolated root nodes in the
  tree registry instead of as children of the parent node

Fixes:
1. Update parent's self.parameters[parent_field_name] when nested fields change
   (parameter_form_manager.py:1074)
2. Add parent_field_name to parent's _user_set_fields for save persistence
   (parameter_form_manager.py:1079)
3. Pass parent_node=self._config_node when creating nested managers so they
   register as children in the tree registry, not isolated roots
   (parameter_form_manager.py:622)

**Problem 2: Nested Config Edits Not Saved to Disk**

When editing nested config fields in PipelineConfig and saving, the changes
were lost. On reopen, the fields reverted to their original values. This worked
fine for GlobalPipelineConfig and StepConfig, but not PipelineConfig.

Root Cause:
- When nested fields changed, parent's self.parameters was updated (fix #1)
- But parent's _user_set_fields was NOT updated
- get_user_modified_values() only returns fields in _user_set_fields
- So when saving, the modified nested configs were excluded from the save
- Result: nested config changes were discarded

Fix:
- Add parent_field_name to self._user_set_fields in _on_nested_parameter_changed
  (parameter_form_manager.py:1079)

**Problem 3: Reset All Button Doesn't Trigger Sibling Placeholder Updates**

Clicking 'Reset All' on a nested config (e.g., well_filter_config) reset the
fields correctly, but sibling configs didn't update their placeholders. Individual
field resets and manual edits worked fine, only 'Reset All' was broken.

Root Cause:
- reset_all_parameters sets _block_cross_window_updates=True for performance
- _on_nested_parameter_changed checks _should_skip_updates() which returns True
  when _block_cross_window_updates=True
- This blocked not only cross-window signals (intended) but also local parent
  parameter updates and sibling placeholder refreshes (unintended bug)
- The flag was being used too broadly

Fix:
- Change _on_nested_parameter_changed to only check _in_reset flag, not the
  full _should_skip_updates() check (parameter_form_manager.py:1033)
- This allows local updates (parent parameters, sibling placeholders) while
  still preventing cross-window signal spam during bulk operations

**Problem 4: Cleared Fields (None) Re-materialize on Save/Reopen**

When clearing a field (setting to None), saving, and reopening, the None value
would be materialized back to a concrete value. User explicitly cleared the field
but it came back.

Root Cause:
- get_user_modified_values() correctly returned None for cleared fields
- But reconstruct_nested_dataclasses() called the lazy dataclass constructor
  with None values: LazyWellFilterConfig(well_filter=None)
- The constructor's __post_init__ method resolved the None against context,
  materializing a concrete value instead of preserving the None
- This defeated the purpose of clearing the field

Fix:
- Separate None and non-None values in reconstruct_nested_dataclasses()
- Create instance with only non-None values (let lazy resolution work normally)
- Use object.__setattr__ to set None values directly, bypassing lazy resolution
  (dataclass_reconstruction_utils.py:47-77)

**Architecture Context**

These fixes complete the context tree refactoring described in
plans/ui-anti-ducktyping/plan_01_context_tree.md. The tree registry provides
hierarchical context resolution (Global→Plate→Step) with proper parent-child
relationships for nested configs.

Key insight: Nested configs are NOT separate tree nodes - they're part of the
parent dataclass. But they have their own form managers for UI editing. The
parent must track changes to nested fields and propagate them to siblings.

Files Modified:
- openhcs/pyqt_gui/widgets/shared/parameter_form_manager.py
- openhcs/pyqt_gui/widgets/shared/services/dataclass_reconstruction_utils.py
- openhcs/pyqt_gui/widgets/shared/services/placeholder_refresh_service.py
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