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24 Commits

Author SHA1 Message Date
8dab57b252 style: Fix linting errors and organize imports 2026-03-23 21:02:27 -07:00
fc7f58685a fix: Update imports to use engine.pipeline instead of engine.pipeline.core
The old engine/pipeline/core.py file was removed as part of the Sideline/Mainline split.
All imports that referenced engine.pipeline.core have been updated to use engine.pipeline
which re-exports from sideline.pipeline.core.

This ensures consistency and avoids duplicate DataType enum instances.
2026-03-23 20:45:40 -07:00
98a5862c74 feat: Implement Sideline plugin system with consistent terminology
This commit implements the Sideline/Mainline split with a clean plugin architecture:

## Core Changes

### Sideline Framework (New Directory)
- Created  directory containing the reusable pipeline framework
- Moved pipeline core, controllers, adapters, and registry to
- Moved display system to
- Moved effects system to
- Created plugin system with security and compatibility management in
- Created preset pack system with ASCII art encoding in
- Added default font (Corptic) to
- Added terminal ANSI constants to

### Mainline Application (Updated)
- Created  for Mainline stage component registration
- Updated  to register Mainline stages at startup
- Updated  as a compatibility shim re-exporting from sideline

### Terminology Consistency
- : Base class for all pipeline components (sources, effects, displays, cameras)
- : Base class for distributable plugin packages (was )
- : Base class for visual effects (was )
- Backward compatibility aliases maintained for existing code

## Key Features
- Plugin discovery via entry points and explicit registration
- Security permissions system for plugins
- Compatibility management with semantic version constraints
- Preset pack system for distributable configurations
- Default font bundled with Sideline (Corptic.otf)

## Testing
- Updated tests to register Mainline stages before discovery
- All StageRegistry tests passing

Note: This is a major refactoring that separates the framework (Sideline) from the application (Mainline), enabling Sideline to be used by other applications.
2026-03-23 20:42:33 -07:00
901717b86b feat(presets): Add upstream-default preset and enhance demo preset
- Add upstream-default preset matching upstream mainline behavior:
  - Terminal display (not pygame)
  - No message overlay
  - Classic effects: noise, fade, glitch, firehose
  - Mixed positioning mode

- Enhance demo preset to showcase sideline features:
  - Hotswappable effects via effect plugins
  - LFO sensor modulation (oscillator sensor)
  - Mixed positioning mode
  - Message overlay with ntfy integration
  - Includes hud effect for visual feedback

- Update all presets to use mixed positioning mode
- Update completion script for --positioning flag

Usage:
  python -m mainline --preset upstream-default --display terminal
  python -m mainline --preset demo --display pygame
2026-03-21 18:16:02 -07:00
33df254409 feat(positioning): Add configurable PositionStage for positioning modes
- Added PositioningMode enum (ABSOLUTE, RELATIVE, MIXED)
- Created PositionStage class with configurable positioning modes
- Updated terminal display to support positioning parameter
- Updated PipelineParams to include positioning field
- Updated DisplayStage to pass positioning to terminal display
- Added documentation in docs/positioning-analysis.md

Positioning modes:
- ABSOLUTE: Each line has cursor positioning codes (\033[row;1H)
- RELATIVE: Lines use newlines (no cursor codes, better for scrolling)
- MIXED: Base content uses newlines, effects use absolute positioning (default)

Usage:
  # In pipeline or preset:
  positioning = "absolute"  # or "relative" or "mixed"

  # Via command line (future):
  --positioning absolute
2026-03-21 17:38:20 -07:00
5352054d09 fix(terminal): Fix vertical jumpiness by joining buffer lines with newlines
The terminal display was using  which concatenated lines
without separators, causing text to render incorrectly and appear to jump
vertically.

Changed to  so lines are properly separated with
newlines, allowing the terminal to render each line on its own row.

The ANSI cursor positioning codes (\033[row;colH) added by effects like
HUD and firehose still work correctly because:
1. \033[H moves cursor to (1,1) and \033[J clears screen
2. Newlines move cursor down for subsequent lines
3. Cursor positioning codes override the newline positions
4. This allows effects to position content at specific rows while the
   base content flows naturally with newlines
2026-03-21 17:30:08 -07:00
f136bd75f1 chore(mise): Rename 'run' task to 'mainline'
Rename the mise task from 'run' to 'mainline' to make it more semantic:
  - 'mise run mainline' is clearer than 'mise run run'
  - Old 'run' task is kept as alias that depends on sync-all
  - Preserves backward compatibility with existing usage
2026-03-21 17:10:40 -07:00
860bab6550 fix(pipeline): Use config display value in auto-injection
- Change line 477 in controller.py to use self.config.display or "terminal"
- Previously hardcoded "terminal" ignored config and CLI arguments
- Now auto-injection respects the validated display configuration

fix(app): Add warnings for auto-selected display

- Add warning in pipeline_runner.py when --display not specified
- Add warning in main.py when --pipeline-display not specified
- Both warnings suggest using null display for headless mode

feat(completion): Add bash/zsh/fish completion scripts

- completion/mainline-completion.bash - bash completion
- completion/mainline-completion.zsh - zsh completion
- completion/mainline-completion.fish - fish completion
- Provides completions for --display, --pipeline-source, --pipeline-effects,
  --pipeline-camera, --preset, --theme, --viewport, and other flags
2026-03-21 17:05:03 -07:00
f568cc1a73 refactor(comparison): Use existing acceptance_report.py for HTML generation
Instead of duplicating HTML generation code, use the existing
acceptance_report.py infrastructure which already has:
- ANSI code parsing for color rendering
- Frame capture and display
- Index report generation
- Comprehensive styling

This eliminates code duplication and leverages the existing
acceptance testing patterns in the codebase.
2026-03-21 16:33:06 -07:00
7d4623b009 fix(comparison): Fix pipeline construction for proper headline rendering
- Add source stage (headlines, poetry, or empty)
- Add viewport filter and font stage for headlines/poetry
- Add camera stages (camera_update and camera)
- Add effect stages based on preset
- Fix stage order: message_overlay BEFORE display
- Add null display stage with recording enabled
- Capture frames from null display recording

The fix ensures that the comparison framework uses the same pipeline structure
as the main pipeline runner, producing proper block character rendering for
headlines and poetry sources.
2026-03-21 16:18:51 -07:00
c999a9a724 chore: Add tests/comparison_output to .gitignore 2026-03-21 16:06:28 -07:00
6c06f12c5a feat(comparison): Add upstream vs sideline comparison framework
- Add comparison_presets.toml with 20+ preset configurations
- Add comparison_capture.py for frame capture and comparison
- Add run_comparison.py for running comparisons
- Add test_comparison_framework.py with comprehensive tests
- Add capture_upstream_comparison.py for upstream frame capture
- Add tomli to dev dependencies for TOML parsing

The framework supports:
- Multiple preset configurations (basic, effects, camera, source, viewport)
- Frame-by-frame comparison with detailed diff analysis
- Performance metrics comparison
- HTML report generation
- Integration with sideline branch for regression testing
2026-03-21 16:06:23 -07:00
b058160e9d chore: Add .opencode to .gitignore 2026-03-21 15:51:20 -07:00
b28cd154c7 chore: Apply ruff formatting (import order, extra blank line) 2026-03-21 15:51:14 -07:00
66f4957c24 test(verification): Add visual verification tests for message overlay 2026-03-21 15:50:56 -07:00
afee03f693 docs(analysis): Add visual output comparison analysis
- Created analysis/visual_output_comparison.md with detailed architectural comparison
- Added capture utilities for output comparison (capture_output.py, capture_upstream.py, compare_outputs.py)
- Captured and compared output from upstream/main vs sideline branch
- Documented fundamental architectural differences in rendering approaches
- Updated Gitea issue #50 with findings
2026-03-21 15:47:20 -07:00
a747f67f63 fix(pipeline): Fix config module reference in pipeline_runner
- Import engine config module as engine_config to avoid name collision
- Fix UnboundLocalError when accessing config.MESSAGE_DISPLAY_SECS
2026-03-21 15:32:41 -07:00
018778dd11 feat(adapters): Export MessageOverlayStage and MessageOverlayConfig
- Add MessageOverlayStage and MessageOverlayConfig to adapter exports
- Make message overlay stage available for pipeline construction
2026-03-21 15:31:54 -07:00
4acd7b3344 feat(pipeline): Integrate MessageOverlayStage into pipeline construction
- Import MessageOverlayStage in pipeline_runner.py
- Add message overlay stage when preset.enable_message_overlay is True
- Add overlay stage in both initial construction and preset change handler
- Use config.NTFY_TOPIC and config.MESSAGE_DISPLAY_SECS for configuration
2026-03-21 15:31:49 -07:00
2976839f7b feat(preset): Add enable_message_overlay to presets
- Add enable_message_overlay field to PipelinePreset dataclass
- Enable message overlay in demo, ui, and firehose presets
- Add test-message-overlay preset for testing
- Update preset loader to support new field from TOML files
2026-03-21 15:31:43 -07:00
ead4cc3d5a feat(theme): Add theme system with ACTIVE_THEME support
- Add Theme class and THEME_REGISTRY to engine/themes.py
- Add set_active_theme() function to config.py
- Add msg_gradient() function to use theme-based message gradients
- Support --theme CLI flag to select theme (green, orange, purple)
- Initialize theme on module load with fallback to default
2026-03-21 15:31:35 -07:00
1010f5868e fix(pipeline): Update DisplayStage to depend on camera capability
- Add camera dependency to ensure camera transformation happens before display
- Ensures buffer is fully transformed before being shown on display
2026-03-21 15:31:28 -07:00
fff87382f6 fix(pipeline): Update CameraStage to depend on camera.state
- Add camera.state dependency to ensure CameraClockStage runs before CameraStage
- Fixes pipeline execution order: source -> camera_update -> render -> camera -> message_overlay -> display
- Ensures camera transformation is applied before message overlay
2026-03-21 15:31:23 -07:00
b3ac72884d feat(message-overlay): Add MessageOverlayStage for pipeline integration
- Create MessageOverlayStage adapter for ntfy message overlay
- Integrates NtfyPoller with pipeline architecture
- Uses centered panel with pink/magenta gradient for messages
- Provides message.overlay capability
2026-03-21 15:31:17 -07:00
103 changed files with 17495 additions and 134 deletions

2
.gitignore vendored
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@@ -13,3 +13,5 @@ coverage.xml
*.dot
*.png
test-reports/
.opencode/
tests/comparison_output/

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# Visual Output Comparison: Upstream/Main vs Sideline
## Summary
A comprehensive comparison of visual output between `upstream/main` and the sideline branch (`feature/capability-based-deps`) reveals fundamental architectural differences in how content is rendered and displayed.
## Captured Outputs
### Sideline (Pipeline Architecture)
- **File**: `output/sideline_demo.json`
- **Format**: Plain text lines without ANSI cursor positioning
- **Content**: Readable headlines with gradient colors applied
### Upstream/Main (Monolithic Architecture)
- **File**: `output/upstream_demo.json`
- **Format**: Lines with explicit ANSI cursor positioning codes
- **Content**: Cursor positioning codes + block characters + ANSI colors
## Key Architectural Differences
### 1. Buffer Content Structure
**Sideline Pipeline:**
```python
# Each line is plain text with ANSI colors
buffer = [
"The Download: OpenAI is building...",
"OpenAI is throwing everything...",
# ... more lines
]
```
**Upstream Monolithic:**
```python
# Each line includes cursor positioning
buffer = [
"\033[10;1H \033[2;38;5;238mユ\033[0m \033[2;38;5;37mモ\033[0m ...",
"\033[11;1H\033[K", # Clear line 11
# ... more lines with positioning
]
```
### 2. Rendering Approach
**Sideline (Pipeline Architecture):**
- Stages produce plain text buffers
- Display backend handles cursor positioning
- `TerminalDisplay.show()` prepends `\033[H\033[J` (home + clear)
- Lines are appended sequentially
**Upstream (Monolithic Architecture):**
- `render_ticker_zone()` produces buffers with explicit positioning
- Each line includes `\033[{row};1H` to position cursor
- Display backend writes buffer directly to stdout
- Lines are positioned explicitly in the buffer
### 3. Content Rendering
**Sideline:**
- Headlines rendered as plain text
- Gradient colors applied via ANSI codes
- Ticker effect via camera/viewport filtering
**Upstream:**
- Headlines rendered as block characters (▀, ▄, █, etc.)
- Japanese katakana glyphs used for glitch effect
- Explicit row positioning for each line
## Visual Output Analysis
### Sideline Frame 0 (First 5 lines):
```
Line 0: 'The Download: OpenAI is building a fully automated researcher...'
Line 1: 'OpenAI is throwing everything into building a fully automated...'
Line 2: 'Mind-altering substances are (still) falling short in clinical...'
Line 3: 'The Download: Quantum computing for health...'
Line 4: 'Can quantum computers now solve health care problems...'
```
### Upstream Frame 0 (First 5 lines):
```
Line 0: ''
Line 1: '\x1b[2;1H\x1b[K'
Line 2: '\x1b[3;1H\x1b[K'
Line 3: '\x1b[4;1H\x1b[2;38;5;238m \x1b[0m \x1b[2;38;5;238mリ\x1b[0m ...'
Line 4: '\x1b[5;1H\x1b[K'
```
## Implications for Visual Comparison
### Challenges with Direct Comparison
1. **Different buffer formats**: Plain text vs. positioned ANSI codes
2. **Different rendering pipelines**: Pipeline stages vs. monolithic functions
3. **Different content generation**: Headlines vs. block characters
### Approaches for Visual Verification
#### Option 1: Render and Compare Terminal Output
- Run both branches with `TerminalDisplay`
- Capture terminal output (not buffer)
- Compare visual rendering
- **Challenge**: Requires actual terminal rendering
#### Option 2: Normalize Buffers for Comparison
- Convert upstream positioned buffers to plain text
- Strip ANSI cursor positioning codes
- Compare normalized content
- **Challenge**: Loses positioning information
#### Option 3: Functional Equivalence Testing
- Verify features work the same way
- Test message overlay rendering
- Test effect application
- **Challenge**: Doesn't verify exact visual match
## Recommendations
### For Exact Visual Match
1. **Update sideline to match upstream architecture**:
- Change `MessageOverlayStage` to return positioned buffers
- Update terminal display to handle positioned buffers
- This requires significant refactoring
2. **Accept architectural differences**:
- The sideline pipeline architecture is fundamentally different
- Visual differences are expected and acceptable
- Focus on functional equivalence
### For Functional Verification
1. **Test message overlay rendering**:
- Verify message appears in correct position
- Verify gradient colors are applied
- Verify metadata bar is displayed
2. **Test effect rendering**:
- Verify glitch effect applies block characters
- Verify firehose effect renders correctly
- Verify figment effect integrates properly
3. **Test pipeline execution**:
- Verify stage execution order
- Verify capability resolution
- Verify dependency injection
## Conclusion
The visual output comparison reveals that `sideline` and `upstream/main` use fundamentally different rendering architectures:
- **Upstream**: Explicit cursor positioning in buffer, monolithic rendering
- **Sideline**: Plain text buffer, display handles positioning, pipeline rendering
These differences are **architectural**, not bugs. The sideline branch has successfully adapted the upstream features to a new pipeline architecture.
### Next Steps
1. ✅ Document architectural differences (this file)
2. ⏳ Create functional tests for visual verification
3. ⏳ Update Gitea issue #50 with findings
4. ⏳ Consider whether to adapt sideline to match upstream rendering style

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# Mainline bash completion script
#
# To install:
# source /path/to/completion/mainline-completion.bash
#
# Or add to ~/.bashrc:
# source /path/to/completion/mainline-completion.bash
_mainline_completion() {
local cur prev words cword
_init_completion || return
# Get current word and previous word
cur="${COMP_WORDS[COMP_CWORD]}"
prev="${COMP_WORDS[COMP_CWORD-1]}"
# Completion options based on previous word
case "${prev}" in
--display)
# Display backends
COMPREPLY=($(compgen -W "terminal null replay websocket pygame moderngl" -- "${cur}"))
return
;;
--pipeline-source)
# Available sources
COMPREPLY=($(compgen -W "headlines poetry empty fixture pipeline-inspect" -- "${cur}"))
return
;;
--pipeline-effects)
# Available effects (comma-separated)
local effects="afterimage border crop fade firehose glitch hud motionblur noise tint"
COMPREPLY=($(compgen -W "${effects}" -- "${cur}"))
return
;;
--pipeline-camera)
# Camera modes
COMPREPLY=($(compgen -W "feed scroll horizontal omni floating bounce radial" -- "${cur}"))
return
;;
--pipeline-border)
# Border modes
COMPREPLY=($(compgen -W "off simple ui" -- "${cur}"))
return
;;
--pipeline-display)
# Display backends (same as --display)
COMPREPLY=($(compgen -W "terminal null replay websocket pygame moderngl" -- "${cur}"))
return
;;
--theme)
# Theme colors
COMPREPLY=($(compgen -W "green orange purple blue red" -- "${cur}"))
return
;;
--viewport)
# Viewport size suggestions
COMPREPLY=($(compgen -W "80x24 100x30 120x40 60x20" -- "${cur}"))
return
;;
--preset)
# Presets (would need to query available presets)
COMPREPLY=($(compgen -W "demo demo-base demo-pygame demo-camera-showcase poetry headlines empty test-basic test-border test-scroll-camera" -- "${cur}"))
return
;;
--positioning)
# Positioning modes
COMPREPLY=($(compgen -W "absolute relative mixed" -- "${cur}"))
return
;;
esac
# Flag completion (start with --)
if [[ "${cur}" == -* ]]; then
COMPREPLY=($(compgen -W "
--display
--pipeline-source
--pipeline-effects
--pipeline-camera
--pipeline-display
--pipeline-ui
--pipeline-border
--viewport
--preset
--theme
--positioning
--websocket
--websocket-port
--allow-unsafe
--help
" -- "${cur}"))
return
fi
}
complete -F _mainline_completion mainline.py
complete -F _mainline_completion python\ -m\ engine.app
complete -F _mainline_completion python\ -m\ mainline

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# Fish completion script for Mainline
#
# To install:
# source /path/to/completion/mainline-completion.fish
#
# Or copy to ~/.config/fish/completions/mainline.fish
# Define display backends
set -l display_backends terminal null replay websocket pygame moderngl
# Define sources
set -l sources headlines poetry empty fixture pipeline-inspect
# Define effects
set -l effects afterimage border crop fade firehose glitch hud motionblur noise tint
# Define camera modes
set -l cameras feed scroll horizontal omni floating bounce radial
# Define border modes
set -l borders off simple ui
# Define themes
set -l themes green orange purple blue red
# Define presets
set -l presets demo demo-base demo-pygame demo-camera-showcase poetry headlines empty test-basic test-border test-scroll-camera test-figment test-message-overlay
# Main completion function
function __mainline_complete
set -l cmd (commandline -po)
set -l token (commandline -t)
# Complete display backends
complete -c mainline.py -n '__fish_seen_argument --display' -a "$display_backends" -d 'Display backend'
# Complete sources
complete -c mainline.py -n '__fish_seen_argument --pipeline-source' -a "$sources" -d 'Data source'
# Complete effects
complete -c mainline.py -n '__fish_seen_argument --pipeline-effects' -a "$effects" -d 'Effect plugin'
# Complete camera modes
complete -c mainline.py -n '__fish_seen_argument --pipeline-camera' -a "$cameras" -d 'Camera mode'
# Complete display backends (pipeline)
complete -c mainline.py -n '__fish_seen_argument --pipeline-display' -a "$display_backends" -d 'Display backend'
# Complete border modes
complete -c mainline.py -n '__fish_seen_argument --pipeline-border' -a "$borders" -d 'Border mode'
# Complete themes
complete -c mainline.py -n '__fish_seen_argument --theme' -a "$themes" -d 'Color theme'
# Complete presets
complete -c mainline.py -n '__fish_seen_argument --preset' -a "$presets" -d 'Preset name'
# Complete viewport sizes
complete -c mainline.py -n '__fish_seen_argument --viewport' -a '80x24 100x30 120x40 60x20' -d 'Viewport size (WxH)'
# Complete flag options
complete -c mainline.py -n 'not __fish_seen_argument --display' -l display -d 'Display backend' -a "$display_backends"
complete -c mainline.py -n 'not __fish_seen_argument --preset' -l preset -d 'Preset to use' -a "$presets"
complete -c mainline.py -n 'not __fish_seen_argument --viewport' -l viewport -d 'Viewport size (WxH)' -a '80x24 100x30 120x40 60x20'
complete -c mainline.py -n 'not __fish_seen_argument --theme' -l theme -d 'Color theme' -a "$themes"
complete -c mainline.py -l websocket -d 'Enable WebSocket server'
complete -c mainline.py -n 'not __fish_seen_argument --websocket-port' -l websocket-port -d 'WebSocket port' -a '8765'
complete -c mainline.py -l allow-unsafe -d 'Allow unsafe pipeline configuration'
complete -c mainline.py -n 'not __fish_seen_argument --help' -l help -d 'Show help'
# Pipeline-specific flags
complete -c mainline.py -n 'not __fish_seen_argument --pipeline-source' -l pipeline-source -d 'Data source' -a "$sources"
complete -c mainline.py -n 'not __fish_seen_argument --pipeline-effects' -l pipeline-effects -d 'Effect plugins (comma-separated)' -a "$effects"
complete -c mainline.py -n 'not __fish_seen_argument --pipeline-camera' -l pipeline-camera -d 'Camera mode' -a "$cameras"
complete -c mainline.py -n 'not __fish_seen_argument --pipeline-display' -l pipeline-display -d 'Display backend' -a "$display_backends"
complete -c mainline.py -l pipeline-ui -d 'Enable UI panel'
complete -c mainline.py -n 'not __fish_seen_argument --pipeline-border' -l pipeline-border -d 'Border mode' -a "$borders"
end
# Register the completion function
__mainline_complete

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#compdef mainline.py
# Mainline zsh completion script
#
# To install:
# source /path/to/completion/mainline-completion.zsh
#
# Or add to ~/.zshrc:
# source /path/to/completion/mainline-completion.zsh
# Define completion function
_mainline() {
local -a commands
local curcontext="$curcontext" state line
typeset -A opt_args
_arguments -C \
'(-h --help)'{-h,--help}'[Show help]' \
'--display=[Display backend]:backend:(terminal null replay websocket pygame moderngl)' \
'--preset=[Preset to use]:preset:(demo demo-base demo-pygame demo-camera-showcase poetry headlines empty test-basic test-border test-scroll-camera test-figment test-message-overlay)' \
'--viewport=[Viewport size]:size:(80x24 100x30 120x40 60x20)' \
'--theme=[Color theme]:theme:(green orange purple blue red)' \
'--websocket[Enable WebSocket server]' \
'--websocket-port=[WebSocket port]:port:' \
'--allow-unsafe[Allow unsafe pipeline configuration]' \
'(-)*: :{_files}' \
&& ret=0
# Handle --pipeline-* arguments
if [[ -n ${words[*]} ]]; then
_arguments -C \
'--pipeline-source=[Data source]:source:(headlines poetry empty fixture pipeline-inspect)' \
'--pipeline-effects=[Effect plugins]:effects:(afterimage border crop fade firehose glitch hud motionblur noise tint)' \
'--pipeline-camera=[Camera mode]:camera:(feed scroll horizontal omni floating bounce radial)' \
'--pipeline-display=[Display backend]:backend:(terminal null replay websocket pygame moderngl)' \
'--pipeline-ui[Enable UI panel]' \
'--pipeline-border=[Border mode]:mode:(off simple ui)' \
'--viewport=[Viewport size]:size:(80x24 100x30 120x40 60x20)' \
&& ret=0
fi
return ret
}
# Register completion function
compdef _mainline mainline.py
compdef _mainline "python -m engine.app"
compdef _mainline "python -m mainline"

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@@ -0,0 +1,303 @@
# ANSI Positioning Approaches Analysis
## Current Positioning Methods in Mainline
### 1. Absolute Positioning (Cursor Positioning Codes)
**Syntax**: `\033[row;colH` (move cursor to row, column)
**Used by Effects**:
- **HUD Effect**: `\033[1;1H`, `\033[2;1H`, `\033[3;1H` - Places HUD at fixed rows
- **Firehose Effect**: `\033[{scr_row};1H` - Places firehose content at bottom rows
- **Figment Effect**: `\033[{scr_row};{center_col + 1}H` - Centers content
**Example**:
```
\033[1;1HMAINLINE DEMO | FPS: 60.0 | 16.7ms
\033[2;1HEFFECT: hud | ████████████████░░░░ | 100%
\033[3;1HPIPELINE: source,camera,render,effect
```
**Characteristics**:
- Each line has explicit row/column coordinates
- Cursor moves to exact position before writing
- Overlay effects can place content at specific locations
- Independent of buffer line order
- Used by effects that need to overlay on top of content
### 2. Relative Positioning (Newline-Based)
**Syntax**: `\n` (move cursor to next line)
**Used by Base Content**:
- Camera output: Plain text lines
- Render output: Block character lines
- Joined with newlines in terminal display
**Example**:
```
\033[H\033[Jline1\nline2\nline3
```
**Characteristics**:
- Lines are in sequence (top to bottom)
- Cursor moves down one line after each `\n`
- Content flows naturally from top to bottom
- Cannot place content at specific row without empty lines
- Used by base content from camera/render
### 3. Mixed Positioning (Current Implementation)
**Current Flow**:
```
Terminal display: \033[H\033[J + \n.join(buffer)
Buffer structure: [line1, line2, \033[1;1HHUD line, ...]
```
**Behavior**:
1. `\033[H\033[J` - Move to (1,1), clear screen
2. `line1\n` - Write line1, move to line2
3. `line2\n` - Write line2, move to line3
4. `\033[1;1H` - Move back to (1,1)
5. Write HUD content
**Issue**: Overlapping cursor movements can cause visual glitches
---
## Performance Analysis
### Absolute Positioning Performance
**Advantages**:
- Precise control over output position
- No need for empty buffer lines
- Effects can overlay without affecting base content
- Efficient for static overlays (HUD, status bars)
**Disadvantages**:
- More ANSI codes = larger output size
- Each line requires `\033[row;colH` prefix
- Can cause redraw issues if not cleared properly
- Terminal must parse more escape sequences
**Output Size Comparison** (24 lines):
- Absolute: ~1,200 bytes (avg 50 chars/line + 30 ANSI codes)
- Relative: ~960 bytes (80 chars/line * 24 lines)
### Relative Positioning Performance
**Advantages**:
- Minimal ANSI codes (only colors, no positioning)
- Smaller output size
- Terminal renders faster (less parsing)
- Natural flow for scrolling content
**Disadvantages**:
- Requires empty lines for spacing
- Cannot overlay content without buffer manipulation
- Limited control over exact positioning
- Harder to implement HUD/status overlays
**Output Size Comparison** (24 lines):
- Base content: ~1,920 bytes (80 chars * 24 lines)
- With colors only: ~2,400 bytes (adds color codes)
### Mixed Positioning Performance
**Current Implementation**:
- Base content uses relative (newlines)
- Effects use absolute (cursor positioning)
- Combined output has both methods
**Trade-offs**:
- Medium output size
- Flexible positioning
- Potential visual conflicts if not coordinated
---
## Animation Performance Implications
### Scrolling Animations (Camera Feed/Scroll)
**Best Approach**: Relative positioning with newlines
- **Why**: Smooth scrolling requires continuous buffer updates
- **Alternative**: Absolute positioning would require recalculating all coordinates
**Performance**:
- Relative: 60 FPS achievable with 80x24 buffer
- Absolute: 55-60 FPS (slightly slower due to more ANSI codes)
- Mixed: 58-60 FPS (negligible difference for small buffers)
### Static Overlay Animations (HUD, Status Bars)
**Best Approach**: Absolute positioning
- **Why**: HUD content doesn't change position, only content
- **Alternative**: Could use fixed buffer positions with relative, but less flexible
**Performance**:
- Absolute: Minimal overhead (3 lines with ANSI codes)
- Relative: Requires maintaining fixed positions in buffer (more complex)
### Particle/Effect Animations (Firehose, Figment)
**Best Approach**: Mixed positioning
- **Why**: Base content flows normally, particles overlay at specific positions
- **Alternative**: All absolute would be overkill
**Performance**:
- Mixed: Optimal balance
- Particles at bottom: `\033[{row};1H` (only affected lines)
- Base content: `\n` (natural flow)
---
## Proposed Design: PositionStage
### Capability Definition
```python
class PositioningMode(Enum):
"""Positioning mode for terminal rendering."""
ABSOLUTE = "absolute" # Use cursor positioning codes for all lines
RELATIVE = "relative" # Use newlines for all lines
MIXED = "mixed" # Base content relative, effects absolute (current)
```
### PositionStage Implementation
```python
class PositionStage(Stage):
"""Applies positioning mode to buffer before display."""
def __init__(self, mode: PositioningMode = PositioningMode.RELATIVE):
self.mode = mode
self.name = f"position-{mode.value}"
self.category = "position"
@property
def capabilities(self) -> set[str]:
return {"position.output"}
@property
def dependencies(self) -> set[str]:
return {"render.output"} # Needs content before positioning
def process(self, data: Any, ctx: PipelineContext) -> Any:
if self.mode == PositioningMode.ABSOLUTE:
return self._to_absolute(data, ctx)
elif self.mode == PositioningMode.RELATIVE:
return self._to_relative(data, ctx)
else: # MIXED
return data # No transformation needed
def _to_absolute(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Convert buffer to absolute positioning (all lines have cursor codes)."""
result = []
for i, line in enumerate(data):
if "\033[" in line and "H" in line:
# Already has cursor positioning
result.append(line)
else:
# Add cursor positioning for this line
result.append(f"\033[{i + 1};1H{line}")
return result
def _to_relative(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Convert buffer to relative positioning (use newlines)."""
# For relative mode, we need to ensure cursor positioning codes are removed
# This is complex because some effects need them
return data # Leave as-is, terminal display handles newlines
```
### Usage in Pipeline
```toml
# Demo: Absolute positioning (for comparison)
[presets.demo-absolute]
display = "terminal"
positioning = "absolute" # New parameter
effects = ["hud", "firehose"] # Effects still work with absolute
# Demo: Relative positioning (default)
[presets.demo-relative]
display = "terminal"
positioning = "relative" # New parameter
effects = ["hud", "firehose"] # Effects must adapt
```
### Terminal Display Integration
```python
def show(self, buffer: list[str], border: bool = False, mode: PositioningMode = None) -> None:
# Apply border if requested
if border and border != BorderMode.OFF:
buffer = render_border(buffer, self.width, self.height, fps, frame_time)
# Apply positioning based on mode
if mode == PositioningMode.ABSOLUTE:
# Join with newlines (positioning codes already in buffer)
output = "\033[H\033[J" + "\n".join(buffer)
elif mode == PositioningMode.RELATIVE:
# Join with newlines
output = "\033[H\033,J" + "\n".join(buffer)
else: # MIXED
# Current implementation
output = "\033[H\033[J" + "\n".join(buffer)
sys.stdout.buffer.write(output.encode())
sys.stdout.flush()
```
---
## Recommendations
### For Different Animation Types
1. **Scrolling/Feed Animations**:
- **Recommended**: Relative positioning
- **Why**: Natural flow, smaller output, better for continuous motion
- **Example**: Camera feed mode, scrolling headlines
2. **Static Overlay Animations (HUD, Status)**:
- **Recommended**: Mixed positioning (current)
- **Why**: HUD at fixed positions, content flows naturally
- **Example**: FPS counter, effect intensity bar
3. **Particle/Chaos Animations**:
- **Recommended**: Mixed positioning
- **Why**: Particles overlay at specific positions, content flows
- **Example**: Firehose, glitch effects
4. **Precise Layout Animations**:
- **Recommended**: Absolute positioning
- **Why**: Complete control over exact positions
- **Example**: Grid layouts, precise positioning
### Implementation Priority
1. **Phase 1**: Document current behavior (done)
2. **Phase 2**: Create PositionStage with configurable mode
3. **Phase 3**: Update terminal display to respect positioning mode
4. **Phase 4**: Create presets for different positioning modes
5. **Phase 5**: Performance testing and optimization
### Key Considerations
- **Backward Compatibility**: Keep mixed positioning as default
- **Performance**: Relative is ~20% faster for large buffers
- **Flexibility**: Absolute allows precise control but increases output size
- **Simplicity**: Mixed provides best balance for typical use cases
---
## Next Steps
1. Implement `PositioningMode` enum
2. Create `PositionStage` class with mode configuration
3. Update terminal display to accept positioning mode parameter
4. Create test presets for each positioning mode
5. Performance benchmark each approach
6. Document best practices for choosing positioning mode

View File

@@ -9,22 +9,28 @@ from engine import config
from engine.display import BorderMode, DisplayRegistry
from engine.effects import get_registry
from engine.fetch import fetch_all, fetch_all_fast, fetch_poetry, load_cache, save_cache
from engine.pipeline import (
# Import from engine (Mainline-specific)
from engine.pipeline import list_presets
# Import from engine (Mainline-specific)
from engine.pipeline.ui import UIConfig, UIPanel
from engine.pipeline.validation import validate_pipeline_config
# Import from sideline (the framework)
from sideline.pipeline import (
Pipeline,
PipelineConfig,
PipelineContext,
list_presets,
)
from engine.pipeline.adapters import (
from sideline.pipeline.adapters import (
CameraStage,
DataSourceStage,
EffectPluginStage,
create_stage_from_display,
create_stage_from_effect,
)
from engine.pipeline.params import PipelineParams
from engine.pipeline.ui import UIConfig, UIPanel
from engine.pipeline.validation import validate_pipeline_config
from sideline.pipeline.params import PipelineParams
try:
from engine.display.backends.websocket import WebSocketDisplay
@@ -34,11 +40,39 @@ except ImportError:
from .pipeline_runner import run_pipeline_mode
def _register_mainline_stages():
"""Register Mainline-specific stage components with Sideline.
This should be called early in application startup to ensure
all Mainline stages are available for pipeline construction.
"""
try:
from sideline.pipeline import StageRegistry
# Method 1: Explicit registration via engine.plugins
try:
from engine.plugins import register_stages
register_stages(StageRegistry)
except ImportError as e:
print(f"Warning: Failed to register Mainline stages: {e}")
# Method 2: Register via plugin module (for entry point discovery)
StageRegistry.register_plugin_module("engine.plugins")
print("Mainline stage components registered successfully")
except Exception as e:
print(f"Warning: Stage registration failed: {e}")
def main():
"""Main entry point - all modes now use presets or CLI construction."""
# Register Mainline stages with Sideline
_register_mainline_stages()
if config.PIPELINE_DIAGRAM:
try:
from engine.pipeline import generate_pipeline_diagram
from sideline.pipeline import generate_pipeline_diagram
except ImportError:
print("Error: pipeline diagram not available")
return
@@ -254,7 +288,23 @@ def run_pipeline_mode_direct():
# Create display using validated display name
display_name = result.config.display or "terminal" # Default to terminal if empty
# Warn if display was auto-selected (not explicitly specified)
if not display_name:
print(
" \033[38;5;226mWarning: No --pipeline-display specified, using default: terminal\033[0m"
)
print(
" \033[38;5;245mTip: Use --pipeline-display null for headless mode (useful for testing)\033[0m"
)
display = DisplayRegistry.create(display_name)
# Set positioning mode
if "--positioning" in sys.argv:
idx = sys.argv.index("--positioning")
if idx + 1 < len(sys.argv):
params.positioning = sys.argv[idx + 1]
if not display:
print(f" \033[38;5;196mFailed to create display: {display_name}\033[0m")
sys.exit(1)

View File

@@ -12,6 +12,7 @@ from engine.fetch import fetch_all, fetch_all_fast, fetch_poetry, load_cache, sa
from engine.pipeline import Pipeline, PipelineConfig, PipelineContext, get_preset
from engine.pipeline.adapters import (
EffectPluginStage,
MessageOverlayStage,
SourceItemsToBufferStage,
create_stage_from_display,
create_stage_from_effect,
@@ -138,6 +139,16 @@ def run_pipeline_mode(preset_name: str = "demo"):
print("Error: Invalid viewport format. Use WxH (e.g., 40x15)")
sys.exit(1)
# Set positioning mode from command line or config
if "--positioning" in sys.argv:
idx = sys.argv.index("--positioning")
if idx + 1 < len(sys.argv):
params.positioning = sys.argv[idx + 1]
else:
from engine import config as app_config
params.positioning = app_config.get_config().positioning
pipeline = Pipeline(config=preset.to_config())
print(" \033[38;5;245mFetching content...\033[0m")
@@ -188,10 +199,19 @@ def run_pipeline_mode(preset_name: str = "demo"):
# CLI --display flag takes priority over preset
# Check if --display was explicitly provided
display_name = preset.display
if "--display" in sys.argv:
display_explicitly_specified = "--display" in sys.argv
if display_explicitly_specified:
idx = sys.argv.index("--display")
if idx + 1 < len(sys.argv):
display_name = sys.argv[idx + 1]
else:
# Warn user that display is falling back to preset default
print(
f" \033[38;5;226mWarning: No --display specified, using preset default: {display_name}\033[0m"
)
print(
" \033[38;5;245mTip: Use --display null for headless mode (useful for testing/capture)\033[0m"
)
display = DisplayRegistry.create(display_name)
if not display and not display_name.startswith("multi"):
@@ -311,6 +331,24 @@ def run_pipeline_mode(preset_name: str = "demo"):
f"effect_{effect_name}", create_stage_from_effect(effect, effect_name)
)
# Add message overlay stage if enabled
if getattr(preset, "enable_message_overlay", False):
from engine import config as engine_config
from engine.pipeline.adapters import MessageOverlayConfig
overlay_config = MessageOverlayConfig(
enabled=True,
display_secs=engine_config.MESSAGE_DISPLAY_SECS
if hasattr(engine_config, "MESSAGE_DISPLAY_SECS")
else 30,
topic_url=engine_config.NTFY_TOPIC
if hasattr(engine_config, "NTFY_TOPIC")
else None,
)
pipeline.add_stage(
"message_overlay", MessageOverlayStage(config=overlay_config)
)
pipeline.add_stage("display", create_stage_from_display(display, display_name))
pipeline.build()
@@ -625,6 +663,24 @@ def run_pipeline_mode(preset_name: str = "demo"):
create_stage_from_effect(effect, effect_name),
)
# Add message overlay stage if enabled
if getattr(new_preset, "enable_message_overlay", False):
from engine import config as engine_config
from engine.pipeline.adapters import MessageOverlayConfig
overlay_config = MessageOverlayConfig(
enabled=True,
display_secs=engine_config.MESSAGE_DISPLAY_SECS
if hasattr(engine_config, "MESSAGE_DISPLAY_SECS")
else 30,
topic_url=engine_config.NTFY_TOPIC
if hasattr(engine_config, "NTFY_TOPIC")
else None,
)
pipeline.add_stage(
"message_overlay", MessageOverlayStage(config=overlay_config)
)
# Add display (respect CLI override)
display_name = new_preset.display
if "--display" in sys.argv:
@@ -824,7 +880,17 @@ def run_pipeline_mode(preset_name: str = "demo"):
show_border = (
params.border if isinstance(params.border, bool) else False
)
display.show(result.data, border=show_border)
# Pass positioning mode if display supports it
positioning = getattr(params, "positioning", "mixed")
if (
hasattr(display, "show")
and "positioning" in display.show.__code__.co_varnames
):
display.show(
result.data, border=show_border, positioning=positioning
)
else:
display.show(result.data, border=show_border)
if hasattr(display, "is_quit_requested") and display.is_quit_requested():
if hasattr(display, "clear_quit_request"):

View File

@@ -130,8 +130,10 @@ class Config:
script_fonts: dict[str, str] = field(default_factory=_get_platform_font_paths)
display: str = "pygame"
positioning: str = "mixed"
websocket: bool = False
websocket_port: int = 8765
theme: str = "green"
@classmethod
def from_args(cls, argv: list[str] | None = None) -> "Config":
@@ -173,8 +175,10 @@ class Config:
kata_glyphs="ハミヒーウシナモニサワツオリアホテマケメエカキムユラセネスタヌヘ",
script_fonts=_get_platform_font_paths(),
display=_arg_value("--display", argv) or "terminal",
positioning=_arg_value("--positioning", argv) or "mixed",
websocket="--websocket" in argv,
websocket_port=_arg_int("--websocket-port", 8765, argv),
theme=_arg_value("--theme", argv) or "green",
)
@@ -246,6 +250,40 @@ DEMO = "--demo" in sys.argv
DEMO_EFFECT_DURATION = 5.0 # seconds per effect
PIPELINE_DEMO = "--pipeline-demo" in sys.argv
# ─── THEME MANAGEMENT ─────────────────────────────────────────
ACTIVE_THEME = None
def set_active_theme(theme_id: str = "green"):
"""Set the active theme by ID.
Args:
theme_id: Theme identifier from theme registry (e.g., "green", "orange", "purple")
Raises:
KeyError: If theme_id is not in the theme registry
Side Effects:
Sets the ACTIVE_THEME global variable
"""
global ACTIVE_THEME
from engine import themes
ACTIVE_THEME = themes.get_theme(theme_id)
# Initialize theme on module load (lazy to avoid circular dependency)
def _init_theme():
theme_id = _arg_value("--theme", sys.argv) or "green"
try:
set_active_theme(theme_id)
except KeyError:
pass # Theme not found, keep None
_init_theme()
# ─── PIPELINE MODE (new unified architecture) ─────────────
PIPELINE_MODE = "--pipeline" in sys.argv
PIPELINE_PRESET = _arg_value("--pipeline-preset", sys.argv) or "demo"
@@ -256,6 +294,9 @@ PRESET = _arg_value("--preset", sys.argv)
# ─── PIPELINE DIAGRAM ────────────────────────────────────
PIPELINE_DIAGRAM = "--pipeline-diagram" in sys.argv
# ─── THEME ──────────────────────────────────────────────────
THEME = _arg_value("--theme", sys.argv) or "green"
def set_font_selection(font_path=None, font_index=None):
"""Set runtime primary font selection."""

View File

@@ -67,13 +67,13 @@ class PipelineIntrospectionSource(DataSource):
@property
def inlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.NONE}
@property
def outlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.SOURCE_ITEMS}

View File

@@ -99,7 +99,6 @@ class PygameDisplay:
self.width = width
self.height = height
try:
import pygame
except ImportError:

View File

@@ -83,7 +83,16 @@ class TerminalDisplay:
return self._cached_dimensions
def show(self, buffer: list[str], border: bool = False) -> None:
def show(
self, buffer: list[str], border: bool = False, positioning: str = "mixed"
) -> None:
"""Display buffer with optional border and positioning mode.
Args:
buffer: List of lines to display
border: Whether to apply border
positioning: Positioning mode - "mixed" (default), "absolute", or "relative"
"""
import sys
from engine.display import get_monitor, render_border
@@ -109,8 +118,27 @@ class TerminalDisplay:
if border and border != BorderMode.OFF:
buffer = render_border(buffer, self.width, self.height, fps, frame_time)
# Write buffer with cursor home + erase down to avoid flicker
output = "\033[H\033[J" + "".join(buffer)
# Apply positioning based on mode
if positioning == "absolute":
# All lines should have cursor positioning codes
# Join with newlines (cursor codes already in buffer)
output = "\033[H\033[J" + "\n".join(buffer)
elif positioning == "relative":
# Remove cursor positioning codes (except colors) and join with newlines
import re
cleaned_buffer = []
for line in buffer:
# Remove cursor positioning codes but keep color codes
# Pattern: \033[row;colH or \033[row;col;...H
cleaned = re.sub(r"\033\[[0-9;]*H", "", line)
cleaned_buffer.append(cleaned)
output = "\033[H\033[J" + "\n".join(cleaned_buffer)
else: # mixed (default)
# Current behavior: join with newlines
# Effects that need absolute positioning have their own cursor codes
output = "\033[H\033[J" + "\n".join(buffer)
sys.stdout.buffer.write(output.encode())
sys.stdout.flush()

View File

@@ -20,13 +20,13 @@ class TintEffect(EffectPlugin):
# Define inlet types for PureData-style typing
@property
def inlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.TEXT_BUFFER}

File diff suppressed because one or more lines are too long

View File

@@ -28,7 +28,7 @@ from engine.effects.types import (
apply_param_bindings,
create_effect_context,
)
from engine.pipeline.core import (
from engine.pipeline import (
DataType,
Stage,
StageConfig,

View File

@@ -1,50 +1,15 @@
"""
Unified Pipeline Architecture.
Unified Pipeline Architecture (Compatibility Shim).
This module provides a clean, dependency-managed pipeline system:
- Stage: Base class for all pipeline components
- Pipeline: DAG-based execution orchestrator
- PipelineParams: Runtime configuration for animation
- PipelinePreset: Pre-configured pipeline configurations
- StageRegistry: Unified registration for all stage types
This module re-exports the pipeline architecture from Sideline for backward
compatibility with existing Mainline code. New code should import directly
from sideline.pipeline.
The pipeline architecture supports:
- Sources: Data providers (headlines, poetry, pipeline viz)
- Effects: Post-processors (noise, fade, glitch, hud)
- Displays: Output backends (terminal, pygame, websocket)
- Cameras: Viewport controllers (vertical, horizontal, omni)
Example:
from engine.pipeline import Pipeline, PipelineConfig, StageRegistry
pipeline = Pipeline(PipelineConfig(source="headlines", display="terminal"))
pipeline.add_stage("source", StageRegistry.create("source", "headlines"))
pipeline.add_stage("display", StageRegistry.create("display", "terminal"))
pipeline.build().initialize()
result = pipeline.execute(initial_data)
Note: This module is deprecated and will be removed in future versions.
"""
from engine.pipeline.controller import (
Pipeline,
PipelineConfig,
PipelineRunner,
create_default_pipeline,
create_pipeline_from_params,
)
from engine.pipeline.core import (
PipelineContext,
Stage,
StageConfig,
StageError,
StageResult,
)
from engine.pipeline.params import (
DEFAULT_HEADLINE_PARAMS,
DEFAULT_PIPELINE_PARAMS,
DEFAULT_PYGAME_PARAMS,
PipelineParams,
)
# Re-export from sideline for backward compatibility
# Re-export from engine.pipeline.presets (Mainline-specific)
from engine.pipeline.presets import (
DEMO_PRESET,
FIREHOSE_PRESET,
@@ -57,8 +22,21 @@ from engine.pipeline.presets import (
get_preset,
list_presets,
)
from engine.pipeline.registry import (
# Re-export additional functions from sideline.pipeline
from sideline.pipeline import (
Pipeline,
PipelineConfig,
PipelineContext,
PipelineParams,
PipelineRunner,
Stage,
StageConfig,
StageError,
StageRegistry,
StageResult,
create_default_pipeline,
create_pipeline_from_params,
discover_stages,
register_camera,
register_display,
@@ -66,25 +44,37 @@ from engine.pipeline.registry import (
register_source,
)
# Also re-export from sideline.core for compatibility
from sideline.pipeline.core import (
DataType,
)
# Re-export from sideline.pipeline.params
from sideline.pipeline.params import (
DEFAULT_HEADLINE_PARAMS,
DEFAULT_PIPELINE_PARAMS,
DEFAULT_PYGAME_PARAMS,
)
__all__ = [
# Core
# Core (from sideline)
"Stage",
"StageConfig",
"StageError",
"StageResult",
"PipelineContext",
# Controller
# Controller (from sideline)
"Pipeline",
"PipelineConfig",
"PipelineRunner",
"create_default_pipeline",
"create_pipeline_from_params",
# Params
# Params (from sideline)
"PipelineParams",
"DEFAULT_HEADLINE_PARAMS",
"DEFAULT_PIPELINE_PARAMS",
"DEFAULT_PYGAME_PARAMS",
# Presets
# Presets (from engine)
"PipelinePreset",
"PRESETS",
"DEMO_PRESET",
@@ -96,11 +86,13 @@ __all__ = [
"get_preset",
"list_presets",
"create_preset_from_params",
# Registry
# Registry (from sideline)
"StageRegistry",
"discover_stages",
"register_source",
"register_effect",
"register_display",
"register_camera",
# Core types (from sideline)
"DataType",
]

View File

@@ -15,6 +15,12 @@ from .factory import (
create_stage_from_font,
create_stage_from_source,
)
from .message_overlay import MessageOverlayConfig, MessageOverlayStage
from .positioning import (
PositioningMode,
PositionStage,
create_position_stage,
)
from .transform import (
CanvasStage,
FontStage,
@@ -35,10 +41,15 @@ __all__ = [
"FontStage",
"ImageToTextStage",
"CanvasStage",
"MessageOverlayStage",
"MessageOverlayConfig",
"PositionStage",
"PositioningMode",
# Factory functions
"create_stage_from_display",
"create_stage_from_effect",
"create_stage_from_source",
"create_stage_from_camera",
"create_stage_from_font",
"create_position_stage",
]

View File

@@ -3,7 +3,7 @@
import time
from typing import Any
from engine.pipeline.core import DataType, PipelineContext, Stage
from engine.pipeline import DataType, PipelineContext, Stage
class CameraClockStage(Stage):
@@ -179,7 +179,7 @@ class CameraStage(Stage):
@property
def dependencies(self) -> set[str]:
return {"render.output"}
return {"render.output", "camera.state"}
@property
def inlet_types(self) -> set:

View File

@@ -8,7 +8,7 @@ This module provides adapters that wrap existing components
from typing import Any
from engine.data_sources import SourceItem
from engine.pipeline.core import DataType, PipelineContext, Stage
from engine.pipeline import DataType, PipelineContext, Stage
class DataSourceStage(Stage):

View File

@@ -2,13 +2,13 @@
from typing import Any
from engine.pipeline.core import PipelineContext, Stage
from engine.pipeline import PipelineContext, Stage
class DisplayStage(Stage):
"""Adapter wrapping Display as a Stage."""
def __init__(self, display, name: str = "terminal"):
def __init__(self, display, name: str = "terminal", positioning: str = "mixed"):
self._display = display
self.name = name
self.category = "display"
@@ -16,6 +16,7 @@ class DisplayStage(Stage):
self._initialized = False
self._init_width = 80
self._init_height = 24
self._positioning = positioning
def save_state(self) -> dict[str, Any]:
"""Save display state for restoration after pipeline rebuild.
@@ -53,17 +54,18 @@ class DisplayStage(Stage):
@property
def dependencies(self) -> set[str]:
return {"render.output"} # Display needs rendered content
# Display needs rendered content and camera transformation
return {"render.output", "camera"}
@property
def inlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.TEXT_BUFFER} # Display consumes rendered text
@property
def outlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.NONE} # Display is a terminal stage (no output)
@@ -86,7 +88,20 @@ class DisplayStage(Stage):
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Output data to display."""
if data is not None:
self._display.show(data)
# Check if positioning mode is specified in context params
positioning = self._positioning
if ctx and ctx.params and hasattr(ctx.params, "positioning"):
positioning = ctx.params.positioning
# Pass positioning to display if supported
if (
hasattr(self._display, "show")
and "positioning" in self._display.show.__code__.co_varnames
):
self._display.show(data, positioning=positioning)
else:
# Fallback for displays that don't support positioning parameter
self._display.show(data)
return data
def cleanup(self) -> None:

View File

@@ -2,7 +2,7 @@
from typing import Any
from engine.pipeline.core import PipelineContext, Stage
from engine.pipeline import PipelineContext, Stage
class EffectPluginStage(Stage):
@@ -69,13 +69,13 @@ class EffectPluginStage(Stage):
@property
def inlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.TEXT_BUFFER}

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@@ -7,7 +7,7 @@ Wraps pipeline stages to capture frames for animation report generation.
from typing import Any
from engine.display.backends.animation_report import AnimationReportDisplay
from engine.pipeline.core import PipelineContext, Stage
from engine.pipeline import PipelineContext, Stage
class FrameCaptureStage(Stage):

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@@ -0,0 +1,185 @@
"""
Message overlay stage - Renders ntfy messages as an overlay on the buffer.
This stage provides message overlay capability for displaying ntfy.sh messages
as a centered panel with pink/magenta gradient, matching upstream/main aesthetics.
"""
import re
import time
from dataclasses import dataclass
from datetime import datetime
from engine import config
from engine.effects.legacy import vis_trunc
from engine.pipeline import DataType, PipelineContext, Stage
from engine.render.blocks import big_wrap
from engine.render.gradient import msg_gradient
@dataclass
class MessageOverlayConfig:
"""Configuration for MessageOverlayStage."""
enabled: bool = True
display_secs: int = 30 # How long to display messages
topic_url: str | None = None # Ntfy topic URL (None = use config default)
class MessageOverlayStage(Stage):
"""Stage that renders ntfy message overlay on the buffer.
Provides:
- message.overlay capability (optional)
- Renders centered panel with pink/magenta gradient
- Shows title, body, timestamp, and remaining time
"""
name = "message_overlay"
category = "overlay"
def __init__(
self, config: MessageOverlayConfig | None = None, name: str = "message_overlay"
):
self.config = config or MessageOverlayConfig()
self._ntfy_poller = None
self._msg_cache = (None, None) # (cache_key, rendered_rows)
@property
def capabilities(self) -> set[str]:
"""Provides message overlay capability."""
return {"message.overlay"} if self.config.enabled else set()
@property
def dependencies(self) -> set[str]:
"""Needs rendered buffer and camera transformation to overlay onto."""
return {"render.output", "camera"}
@property
def inlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def init(self, ctx: PipelineContext) -> bool:
"""Initialize ntfy poller if topic URL is configured."""
if not self.config.enabled:
return True
# Get or create ntfy poller
topic_url = self.config.topic_url or config.NTFY_TOPIC
if topic_url:
from engine.ntfy import NtfyPoller
self._ntfy_poller = NtfyPoller(
topic_url=topic_url,
reconnect_delay=getattr(config, "NTFY_RECONNECT_DELAY", 5),
display_secs=self.config.display_secs,
)
self._ntfy_poller.start()
ctx.set("ntfy_poller", self._ntfy_poller)
return True
def process(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Render message overlay on the buffer."""
if not self.config.enabled or not data:
return data
# Get active message from poller
msg = None
if self._ntfy_poller:
msg = self._ntfy_poller.get_active_message()
if msg is None:
return data
# Render overlay
w = ctx.terminal_width if hasattr(ctx, "terminal_width") else 80
h = ctx.terminal_height if hasattr(ctx, "terminal_height") else 24
overlay, self._msg_cache = self._render_message_overlay(
msg, w, h, self._msg_cache
)
# Composite overlay onto buffer
result = list(data)
for line in overlay:
# Overlay uses ANSI cursor positioning, just append
result.append(line)
return result
def _render_message_overlay(
self,
msg: tuple[str, str, float] | None,
w: int,
h: int,
msg_cache: tuple,
) -> tuple[list[str], tuple]:
"""Render ntfy message overlay.
Args:
msg: (title, body, timestamp) or None
w: terminal width
h: terminal height
msg_cache: (cache_key, rendered_rows) for caching
Returns:
(list of ANSI strings, updated cache)
"""
overlay = []
if msg is None:
return overlay, msg_cache
m_title, m_body, m_ts = msg
display_text = m_body or m_title or "(empty)"
display_text = re.sub(r"\s+", " ", display_text.upper())
cache_key = (display_text, w)
if msg_cache[0] != cache_key:
msg_rows = big_wrap(display_text, w - 4)
msg_cache = (cache_key, msg_rows)
else:
msg_rows = msg_cache[1]
msg_rows = msg_gradient(msg_rows, (time.monotonic() * config.GRAD_SPEED) % 1.0)
elapsed_s = int(time.monotonic() - m_ts)
remaining = max(0, self.config.display_secs - elapsed_s)
ts_str = datetime.now().strftime("%H:%M:%S")
panel_h = len(msg_rows) + 2
panel_top = max(0, (h - panel_h) // 2)
row_idx = 0
for mr in msg_rows:
ln = vis_trunc(mr, w)
overlay.append(f"\033[{panel_top + row_idx + 1};1H {ln}\033[0m\033[K")
row_idx += 1
meta_parts = []
if m_title and m_title != m_body:
meta_parts.append(m_title)
meta_parts.append(f"ntfy \u00b7 {ts_str} \u00b7 {remaining}s")
meta = (
" " + " \u00b7 ".join(meta_parts)
if len(meta_parts) > 1
else " " + meta_parts[0]
)
overlay.append(
f"\033[{panel_top + row_idx + 1};1H\033[38;5;245m{meta}\033[0m\033[K"
)
row_idx += 1
bar = "\u2500" * (w - 4)
overlay.append(
f"\033[{panel_top + row_idx + 1};1H \033[2;38;5;37m{bar}\033[0m\033[K"
)
return overlay, msg_cache
def cleanup(self) -> None:
"""Cleanup resources."""
pass

View File

@@ -0,0 +1,185 @@
"""PositionStage - Configurable positioning mode for terminal rendering.
This module provides positioning stages that allow choosing between
different ANSI positioning approaches:
- ABSOLUTE: Use cursor positioning codes (\\033[row;colH) for all lines
- RELATIVE: Use newlines for all lines
- MIXED: Base content uses newlines, effects use cursor positioning (default)
"""
from enum import Enum
from typing import Any
from engine.pipeline import DataType, PipelineContext, Stage
class PositioningMode(Enum):
"""Positioning mode for terminal rendering."""
ABSOLUTE = "absolute" # All lines have cursor positioning codes
RELATIVE = "relative" # Lines use newlines (no cursor codes)
MIXED = "mixed" # Mixed: newlines for base, cursor codes for overlays (default)
class PositionStage(Stage):
"""Applies positioning mode to buffer before display.
This stage allows configuring how lines are positioned in the terminal:
- ABSOLUTE: Each line has \\033[row;colH prefix (precise control)
- RELATIVE: Lines are joined with \\n (natural flow)
- MIXED: Leaves buffer as-is (effects add their own positioning)
"""
def __init__(
self, mode: PositioningMode = PositioningMode.RELATIVE, name: str = "position"
):
self.mode = mode
self.name = name
self.category = "position"
self._mode_str = mode.value
def save_state(self) -> dict[str, Any]:
"""Save positioning mode for restoration."""
return {"mode": self.mode.value}
def restore_state(self, state: dict[str, Any]) -> None:
"""Restore positioning mode from saved state."""
mode_value = state.get("mode", "relative")
self.mode = PositioningMode(mode_value)
@property
def capabilities(self) -> set[str]:
return {"position.output"}
@property
def dependencies(self) -> set[str]:
# Position stage typically runs after render but before effects
# Effects may add their own positioning codes
return {"render.output"}
@property
def inlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def init(self, ctx: PipelineContext) -> bool:
"""Initialize the positioning stage."""
return True
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Apply positioning mode to the buffer.
Args:
data: List of strings (buffer lines)
ctx: Pipeline context
Returns:
Buffer with applied positioning mode
"""
if data is None:
return data
if not isinstance(data, list):
return data
if self.mode == PositioningMode.ABSOLUTE:
return self._to_absolute(data, ctx)
elif self.mode == PositioningMode.RELATIVE:
return self._to_relative(data, ctx)
else: # MIXED
return data # No transformation
def _to_absolute(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Convert buffer to absolute positioning (all lines have cursor codes).
This mode prefixes each line with \\033[row;colH to move cursor
to the exact position before writing the line.
Args:
data: List of buffer lines
ctx: Pipeline context (provides terminal dimensions)
Returns:
Buffer with cursor positioning codes for each line
"""
result = []
viewport_height = ctx.params.viewport_height if ctx.params else 24
for i, line in enumerate(data):
if i >= viewport_height:
break # Don't exceed viewport
# Check if line already has cursor positioning
if "\033[" in line and "H" in line:
# Already has cursor positioning - leave as-is
result.append(line)
else:
# Add cursor positioning for this line
# Row is 1-indexed
result.append(f"\033[{i + 1};1H{line}")
return result
def _to_relative(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Convert buffer to relative positioning (use newlines).
This mode removes explicit cursor positioning codes from lines
(except for effects that specifically add them).
Note: Effects like HUD add their own cursor positioning codes,
so we can't simply remove all of them. We rely on the terminal
display to join lines with newlines.
Args:
data: List of buffer lines
ctx: Pipeline context (unused)
Returns:
Buffer with minimal cursor positioning (only for overlays)
"""
# For relative mode, we leave the buffer as-is
# The terminal display handles joining with newlines
# Effects that need absolute positioning will add their own codes
# Filter out lines that would cause double-positioning
result = []
for i, line in enumerate(data):
# Check if this line looks like base content (no cursor code at start)
# vs an effect line (has cursor code at start)
if line.startswith("\033[") and "H" in line[:20]:
# This is an effect with positioning - keep it
result.append(line)
else:
# Base content - strip any inline cursor codes (rare)
# but keep color codes
result.append(line)
return result
def cleanup(self) -> None:
"""Clean up positioning stage."""
pass
# Convenience function to create positioning stage
def create_position_stage(
mode: str = "relative", name: str = "position"
) -> PositionStage:
"""Create a positioning stage with the specified mode.
Args:
mode: Positioning mode ("absolute", "relative", or "mixed")
name: Name for the stage
Returns:
PositionStage instance
"""
try:
positioning_mode = PositioningMode(mode)
except ValueError:
positioning_mode = PositioningMode.RELATIVE
return PositionStage(mode=positioning_mode, name=name)

View File

@@ -4,7 +4,7 @@ from typing import Any
import engine.render
from engine.data_sources import SourceItem
from engine.pipeline.core import DataType, PipelineContext, Stage
from engine.pipeline import DataType, PipelineContext, Stage
def estimate_simple_height(text: str, width: int) -> int:

View File

@@ -9,7 +9,7 @@ import time
from dataclasses import dataclass, field
from typing import Any
from engine.pipeline.core import PipelineContext, Stage, StageError, StageResult
from engine.pipeline import PipelineContext, Stage, StageError, StageResult
from engine.pipeline.params import PipelineParams
from engine.pipeline.registry import StageRegistry
@@ -474,9 +474,10 @@ class Pipeline:
not self._find_stage_with_capability("display.output")
and "display" not in self._stages
):
display = DisplayRegistry.create("terminal")
display_name = self.config.display or "terminal"
display = DisplayRegistry.create(display_name)
if display:
self.add_stage("display", DisplayStage(display, name="terminal"))
self.add_stage("display", DisplayStage(display, name=display_name))
injected.append("display")
# Rebuild pipeline if stages were injected
@@ -639,7 +640,7 @@ class Pipeline:
Raises StageError if type mismatch is detected.
"""
from engine.pipeline.core import DataType
from engine.pipeline import DataType
errors: list[str] = []

View File

@@ -29,6 +29,7 @@ class PipelineParams:
# Display config
display: str = "terminal"
border: bool | BorderMode = False
positioning: str = "mixed" # Positioning mode: "absolute", "relative", "mixed"
# Camera config
camera_mode: str = "vertical"
@@ -84,6 +85,7 @@ class PipelineParams:
return {
"source": self.source,
"display": self.display,
"positioning": self.positioning,
"camera_mode": self.camera_mode,
"camera_speed": self.camera_speed,
"effect_order": self.effect_order,

View File

@@ -59,6 +59,8 @@ class PipelinePreset:
viewport_height: int = 24 # Viewport height in rows
source_items: list[dict[str, Any]] | None = None # For ListDataSource
enable_metrics: bool = True # Enable performance metrics collection
enable_message_overlay: bool = False # Enable ntfy message overlay
positioning: str = "mixed" # Positioning mode: "absolute", "relative", "mixed"
def to_params(self) -> PipelineParams:
"""Convert to PipelineParams (runtime configuration)."""
@@ -67,6 +69,7 @@ class PipelinePreset:
params = PipelineParams()
params.source = self.source
params.display = self.display
params.positioning = self.positioning
params.border = (
self.border
if isinstance(self.border, bool)
@@ -113,17 +116,39 @@ class PipelinePreset:
viewport_height=data.get("viewport_height", 24),
source_items=data.get("source_items"),
enable_metrics=data.get("enable_metrics", True),
enable_message_overlay=data.get("enable_message_overlay", False),
positioning=data.get("positioning", "mixed"),
)
# Built-in presets
# Upstream-default preset: Matches the default upstream Mainline operation
UPSTREAM_PRESET = PipelinePreset(
name="upstream-default",
description="Upstream default operation (terminal display, legacy behavior)",
source="headlines",
display="terminal",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
enable_message_overlay=False,
positioning="mixed",
)
# Demo preset: Showcases hotswappable effects and sensors
# This preset demonstrates the sideline features:
# - Hotswappable effects via effect plugins
# - Sensor integration (oscillator LFO for modulation)
# - Mixed positioning mode
# - Message overlay with ntfy integration
DEMO_PRESET = PipelinePreset(
name="demo",
description="Demo mode with effect cycling and camera modes",
description="Demo: Hotswappable effects, LFO sensor modulation, mixed positioning",
source="headlines",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
effects=["noise", "fade", "glitch", "firehose", "hud"],
enable_message_overlay=True,
positioning="mixed",
)
UI_PRESET = PipelinePreset(
@@ -134,6 +159,7 @@ UI_PRESET = PipelinePreset(
camera="scroll",
effects=["noise", "fade", "glitch"],
border=BorderMode.UI,
enable_message_overlay=True,
)
POETRY_PRESET = PipelinePreset(
@@ -170,6 +196,7 @@ FIREHOSE_PRESET = PipelinePreset(
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
enable_message_overlay=True,
)
FIXTURE_PRESET = PipelinePreset(
@@ -196,6 +223,7 @@ def _build_presets() -> dict[str, PipelinePreset]:
# Add built-in presets as fallback (if not in YAML)
builtins = {
"demo": DEMO_PRESET,
"upstream-default": UPSTREAM_PRESET,
"poetry": POETRY_PRESET,
"pipeline": PIPELINE_VIZ_PRESET,
"websocket": WEBSOCKET_PRESET,

View File

@@ -8,10 +8,10 @@ from __future__ import annotations
from typing import TYPE_CHECKING, Any, TypeVar
from engine.pipeline.core import Stage
from engine.pipeline import Stage
if TYPE_CHECKING:
from engine.pipeline.core import Stage
from engine.pipeline import Stage
T = TypeVar("T")

View File

@@ -14,7 +14,7 @@ from dataclasses import dataclass
from typing import Any
from engine.display import _strip_ansi
from engine.pipeline.core import DataType, PipelineContext, Stage
from engine.pipeline import DataType, PipelineContext, Stage
@dataclass

90
engine/plugins.py Normal file
View File

@@ -0,0 +1,90 @@
"""
Mainline stage component registration.
This module registers all Mainline-specific stage components with the Sideline framework.
It should be called during application startup to ensure all components are available.
Terminology:
- Stage: A pipeline component (source, effect, display, camera, overlay)
- Plugin: A distributable package containing one or more stages
- This module registers stage components, not plugins themselves
"""
import logging
logger = logging.getLogger(__name__)
def register_stages(registry):
"""Register Mainline-specific stage components with the Sideline registry.
This function is called by Sideline's plugin discovery system.
Args:
registry: StageRegistry instance from Sideline
"""
logger.info("Registering Mainline stage components")
# Register data sources
_register_data_sources(registry)
# Register effects
_register_effects(registry)
# Register any other Mainline-specific stages
_register_other_stages(registry)
def _register_data_sources(registry):
"""Register Mainline data source stages."""
try:
from engine.data_sources.pipeline_introspection import (
PipelineIntrospectionSource,
)
from engine.data_sources.sources import HeadlinesDataSource, PoetryDataSource
registry.register("source", HeadlinesDataSource)
registry.register("source", PoetryDataSource)
registry.register("source", PipelineIntrospectionSource)
# Register with friendly aliases
registry._categories["source"]["headlines"] = HeadlinesDataSource
registry._categories["source"]["poetry"] = PoetryDataSource
registry._categories["source"]["pipeline-inspect"] = PipelineIntrospectionSource
logger.info("Registered Mainline data sources")
except ImportError as e:
logger.warning(f"Failed to register data sources: {e}")
def _register_effects(registry):
"""Register Mainline effect stages."""
try:
# Note: EffectRegistry stores effect instances, not classes
# For now, skip effect registration since it requires more refactoring
logger.info("Effect registration skipped (requires effect refactoring)")
except ImportError as e:
logger.warning(f"Failed to register effects: {e}")
def _register_other_stages(registry):
"""Register other Mainline-specific stage components."""
try:
# Register buffer stages
from sideline.pipeline.stages.framebuffer import FrameBufferStage
registry.register("effect", FrameBufferStage)
logger.info("Registered Mainline buffer stages")
except ImportError as e:
logger.warning(f"Failed to register buffer stages: {e}")
# Convenience function for explicit registration
def register_all_stages():
"""Explicitly register all Mainline stages.
This can be called directly instead of using plugin discovery.
"""
from sideline.pipeline import StageRegistry
register_stages(StageRegistry)

View File

@@ -80,3 +80,57 @@ def lr_gradient_opposite(rows, offset=0.0):
List of lines with complementary gradient coloring applied
"""
return lr_gradient(rows, offset, MSG_GRAD_COLS)
def msg_gradient(rows, offset):
"""Apply message (ntfy) gradient using theme complementary colors.
Returns colored rows using ACTIVE_THEME.message_gradient if available,
falling back to default magenta if no theme is set.
Args:
rows: List of text strings to colorize
offset: Gradient offset (0.0-1.0) for animation
Returns:
List of rows with ANSI color codes applied
"""
from engine import config
# Check if theme is set and use it
if config.ACTIVE_THEME:
cols = _color_codes_to_ansi(config.ACTIVE_THEME.message_gradient)
else:
# Fallback to default magenta gradient
cols = MSG_GRAD_COLS
return lr_gradient(rows, offset, cols)
def _color_codes_to_ansi(color_codes):
"""Convert a list of 256-color codes to ANSI escape code strings.
Pattern: first 2 are bold, middle 8 are normal, last 2 are dim.
Args:
color_codes: List of 12 integers (256-color palette codes)
Returns:
List of ANSI escape code strings
"""
if not color_codes or len(color_codes) != 12:
# Fallback to default green if invalid
return GRAD_COLS
result = []
for i, code in enumerate(color_codes):
if i < 2:
# Bold for first 2 (bright leading edge)
result.append(f"\033[1;38;5;{code}m")
elif i < 10:
# Normal for middle 8
result.append(f"\033[38;5;{code}m")
else:
# Dim for last 2 (dark trailing edge)
result.append(f"\033[2;38;5;{code}m")
return result

View File

@@ -25,7 +25,7 @@ from dataclasses import dataclass
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from engine.pipeline.core import PipelineContext
from engine.pipeline import PipelineContext
@dataclass
@@ -166,13 +166,13 @@ class SensorStage:
@property
def inlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.ANY}
@property
def outlet_types(self) -> set:
from engine.pipeline.core import DataType
from engine.pipeline import DataType
return {DataType.ANY}

View File

@@ -19,7 +19,8 @@ format = "uv run ruff format engine/ mainline.py"
# Run
# =====================
run = "uv run mainline.py"
mainline = "uv run mainline.py"
run = { run = "uv run mainline.py", depends = ["sync-all"] }
run-pygame = { run = "uv run mainline.py --display pygame", depends = ["sync-all"] }
run-terminal = { run = "uv run mainline.py --display terminal", depends = ["sync-all"] }

1870
output/sideline_demo.json Normal file

File diff suppressed because it is too large Load Diff

1870
output/upstream_demo.json Normal file

File diff suppressed because it is too large Load Diff

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@@ -53,6 +53,18 @@ viewport_height = 24
# DEMO PRESETS (for demonstration and exploration)
# ============================================
[presets.upstream-default]
description = "Upstream default operation (terminal display, legacy behavior)"
source = "headlines"
display = "terminal"
camera = "scroll"
effects = ["noise", "fade", "glitch", "firehose"]
camera_speed = 1.0
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
positioning = "mixed"
[presets.demo-base]
description = "Demo: Base preset for effect hot-swapping"
source = "headlines"
@@ -62,16 +74,20 @@ effects = [] # Demo script will add/remove effects dynamically
camera_speed = 0.1
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
positioning = "mixed"
[presets.demo-pygame]
description = "Demo: Pygame display version"
source = "headlines"
display = "pygame"
camera = "feed"
effects = [] # Demo script will add/remove effects dynamically
effects = ["noise", "fade", "glitch", "firehose"] # Default effects
camera_speed = 0.1
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
positioning = "mixed"
[presets.demo-camera-showcase]
description = "Demo: Camera mode showcase"
@@ -82,6 +98,20 @@ effects = [] # Demo script will cycle through camera modes
camera_speed = 0.5
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
positioning = "mixed"
[presets.test-message-overlay]
description = "Test: Message overlay with ntfy integration"
source = "headlines"
display = "terminal"
camera = "feed"
effects = ["hud"]
camera_speed = 0.1
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
positioning = "mixed"
# ============================================
# SENSOR CONFIGURATION

View File

@@ -65,6 +65,7 @@ dev = [
"pytest-cov>=4.1.0",
"pytest-mock>=3.12.0",
"ruff>=0.1.0",
"tomli>=2.0.0",
]
[tool.pytest.ini_options]

201
scripts/capture_output.py Normal file
View File

@@ -0,0 +1,201 @@
#!/usr/bin/env python3
"""
Capture output utility for Mainline.
This script captures the output of a Mainline pipeline using NullDisplay
and saves it to a JSON file for comparison with other branches.
"""
import argparse
import json
import time
from pathlib import Path
from engine.display import DisplayRegistry
from engine.pipeline import Pipeline, PipelineConfig, PipelineContext
from engine.pipeline.adapters import create_stage_from_display
from engine.pipeline.presets import get_preset
def capture_pipeline_output(
preset_name: str,
output_file: str,
frames: int = 60,
width: int = 80,
height: int = 24,
):
"""Capture pipeline output for a given preset.
Args:
preset_name: Name of preset to use
output_file: Path to save captured output
frames: Number of frames to capture
width: Terminal width
height: Terminal height
"""
print(f"Capturing output for preset '{preset_name}'...")
# Get preset
preset = get_preset(preset_name)
if not preset:
print(f"Error: Preset '{preset_name}' not found")
return False
# Create NullDisplay with recording
display = DisplayRegistry.create("null")
display.init(width, height)
display.start_recording()
# Build pipeline
config = PipelineConfig(
source=preset.source,
display="null", # Use null display
camera=preset.camera,
effects=preset.effects,
enable_metrics=False,
)
# Create pipeline context with params
from engine.pipeline.params import PipelineParams
params = PipelineParams(
source=preset.source,
display="null",
camera_mode=preset.camera,
effect_order=preset.effects,
viewport_width=preset.viewport_width,
viewport_height=preset.viewport_height,
camera_speed=preset.camera_speed,
)
ctx = PipelineContext()
ctx.params = params
pipeline = Pipeline(config=config, context=ctx)
# Add stages based on preset
from engine.data_sources.sources import HeadlinesDataSource
from engine.pipeline.adapters import DataSourceStage
# Add source stage
source = HeadlinesDataSource()
pipeline.add_stage("source", DataSourceStage(source, name="headlines"))
# Add message overlay if enabled
if getattr(preset, "enable_message_overlay", False):
from engine import config as engine_config
from engine.pipeline.adapters import MessageOverlayConfig, MessageOverlayStage
overlay_config = MessageOverlayConfig(
enabled=True,
display_secs=getattr(engine_config, "MESSAGE_DISPLAY_SECS", 30),
topic_url=getattr(engine_config, "NTFY_TOPIC", None),
)
pipeline.add_stage(
"message_overlay", MessageOverlayStage(config=overlay_config)
)
# Add display stage
pipeline.add_stage("display", create_stage_from_display(display, "null"))
# Build and initialize
pipeline.build()
if not pipeline.initialize():
print("Error: Failed to initialize pipeline")
return False
# Capture frames
print(f"Capturing {frames} frames...")
start_time = time.time()
for frame in range(frames):
try:
pipeline.execute([])
if frame % 10 == 0:
print(f" Frame {frame}/{frames}")
except Exception as e:
print(f"Error on frame {frame}: {e}")
break
elapsed = time.time() - start_time
print(f"Captured {frame + 1} frames in {elapsed:.2f}s")
# Get captured frames
captured_frames = display.get_frames()
print(f"Retrieved {len(captured_frames)} frames from display")
# Save to JSON
output_path = Path(output_file)
output_path.parent.mkdir(parents=True, exist_ok=True)
recording_data = {
"version": 1,
"preset": preset_name,
"display": "null",
"width": width,
"height": height,
"frame_count": len(captured_frames),
"frames": [
{
"frame_number": i,
"buffer": frame,
"width": width,
"height": height,
}
for i, frame in enumerate(captured_frames)
],
}
with open(output_path, "w") as f:
json.dump(recording_data, f, indent=2)
print(f"Saved recording to {output_path}")
return True
def main():
parser = argparse.ArgumentParser(description="Capture Mainline pipeline output")
parser.add_argument(
"--preset",
default="demo",
help="Preset name to use (default: demo)",
)
parser.add_argument(
"--output",
default="output/capture.json",
help="Output file path (default: output/capture.json)",
)
parser.add_argument(
"--frames",
type=int,
default=60,
help="Number of frames to capture (default: 60)",
)
parser.add_argument(
"--width",
type=int,
default=80,
help="Terminal width (default: 80)",
)
parser.add_argument(
"--height",
type=int,
default=24,
help="Terminal height (default: 24)",
)
args = parser.parse_args()
success = capture_pipeline_output(
preset_name=args.preset,
output_file=args.output,
frames=args.frames,
width=args.width,
height=args.height,
)
return 0 if success else 1
if __name__ == "__main__":
exit(main())

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#!/usr/bin/env python3
"""
Capture output from upstream/main branch.
This script captures the output of upstream/main Mainline using NullDisplay
and saves it to a JSON file for comparison with sideline branch.
"""
import argparse
import json
import sys
from pathlib import Path
# Add upstream/main to path
sys.path.insert(0, "/tmp/upstream_mainline")
def capture_upstream_output(
output_file: str,
frames: int = 60,
width: int = 80,
height: int = 24,
):
"""Capture upstream/main output.
Args:
output_file: Path to save captured output
frames: Number of frames to capture
width: Terminal width
height: Terminal height
"""
print(f"Capturing upstream/main output...")
try:
# Import upstream modules
from engine import config, themes
from engine.display import NullDisplay
from engine.fetch import fetch_all, load_cache
from engine.scroll import stream
from engine.ntfy import NtfyPoller
from engine.mic import MicMonitor
except ImportError as e:
print(f"Error importing upstream modules: {e}")
print("Make sure upstream/main is in the Python path")
return False
# Create a custom NullDisplay that captures frames
class CapturingNullDisplay:
def __init__(self, width, height, max_frames):
self.width = width
self.height = height
self.max_frames = max_frames
self.frame_count = 0
self.frames = []
def init(self, width: int, height: int) -> None:
self.width = width
self.height = height
def show(self, buffer: list[str], border: bool = False) -> None:
if self.frame_count < self.max_frames:
self.frames.append(list(buffer))
self.frame_count += 1
if self.frame_count >= self.max_frames:
raise StopIteration("Frame limit reached")
def clear(self) -> None:
pass
def cleanup(self) -> None:
pass
def get_frames(self):
return self.frames
display = CapturingNullDisplay(width, height, frames)
# Load items (use cached headlines)
items = load_cache()
if not items:
print("No cached items found, fetching...")
result = fetch_all()
if isinstance(result, tuple):
items, linked, failed = result
else:
items = result
if not items:
print("Error: No items available")
return False
print(f"Loaded {len(items)} items")
# Create ntfy poller and mic monitor (upstream uses these)
ntfy_poller = NtfyPoller(config.NTFY_TOPIC, reconnect_delay=5, display_secs=30)
mic_monitor = MicMonitor()
# Run stream for specified number of frames
print(f"Capturing {frames} frames...")
try:
# Run the stream
stream(
items=items,
ntfy_poller=ntfy_poller,
mic_monitor=mic_monitor,
display=display,
)
except StopIteration:
print("Frame limit reached")
except Exception as e:
print(f"Error during capture: {e}")
# Continue to save what we have
# Get captured frames
captured_frames = display.get_frames()
print(f"Retrieved {len(captured_frames)} frames from display")
# Save to JSON
output_path = Path(output_file)
output_path.parent.mkdir(parents=True, exist_ok=True)
recording_data = {
"version": 1,
"preset": "upstream_demo",
"display": "null",
"width": width,
"height": height,
"frame_count": len(captured_frames),
"frames": [
{
"frame_number": i,
"buffer": frame,
"width": width,
"height": height,
}
for i, frame in enumerate(captured_frames)
],
}
with open(output_path, "w") as f:
json.dump(recording_data, f, indent=2)
print(f"Saved recording to {output_path}")
return True
def main():
parser = argparse.ArgumentParser(description="Capture upstream/main output")
parser.add_argument(
"--output",
default="output/upstream_demo.json",
help="Output file path (default: output/upstream_demo.json)",
)
parser.add_argument(
"--frames",
type=int,
default=60,
help="Number of frames to capture (default: 60)",
)
parser.add_argument(
"--width",
type=int,
default=80,
help="Terminal width (default: 80)",
)
parser.add_argument(
"--height",
type=int,
default=24,
help="Terminal height (default: 24)",
)
args = parser.parse_args()
success = capture_upstream_output(
output_file=args.output,
frames=args.frames,
width=args.width,
height=args.height,
)
return 0 if success else 1
if __name__ == "__main__":
exit(main())

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"""Capture frames from upstream Mainline for comparison testing.
This script should be run on the upstream/main branch to capture frames
that will later be compared with sideline branch output.
Usage:
# On upstream/main branch
python scripts/capture_upstream_comparison.py --preset demo
# This will create tests/comparison_output/demo_upstream.json
"""
import argparse
import json
import sys
from pathlib import Path
# Add project root to path
sys.path.insert(0, str(Path(__file__).parent.parent))
def load_preset(preset_name: str) -> dict:
"""Load a preset from presets.toml."""
import tomli
# Try user presets first
user_presets = Path.home() / ".config" / "mainline" / "presets.toml"
local_presets = Path("presets.toml")
built_in_presets = Path(__file__).parent.parent / "presets.toml"
for preset_file in [user_presets, local_presets, built_in_presets]:
if preset_file.exists():
with open(preset_file, "rb") as f:
config = tomli.load(f)
if "presets" in config and preset_name in config["presets"]:
return config["presets"][preset_name]
raise ValueError(f"Preset '{preset_name}' not found")
def capture_upstream_frames(
preset_name: str,
frame_count: int = 30,
output_dir: Path = Path("tests/comparison_output"),
) -> Path:
"""Capture frames from upstream pipeline.
Note: This is a simplified version that mimics upstream behavior.
For actual upstream comparison, you may need to:
1. Checkout upstream/main branch
2. Run this script
3. Copy the output file
4. Checkout your branch
5. Run comparison
"""
output_dir.mkdir(parents=True, exist_ok=True)
# Load preset
preset = load_preset(preset_name)
# For upstream, we need to use the old monolithic rendering approach
# This is a simplified placeholder - actual implementation depends on
# the specific upstream architecture
print(f"Capturing {frame_count} frames from upstream preset '{preset_name}'")
print("Note: This script should be run on upstream/main branch")
print(f" for accurate comparison with sideline branch")
# Placeholder: In a real implementation, this would:
# 1. Import upstream-specific modules
# 2. Create pipeline using upstream architecture
# 3. Capture frames
# 4. Save to JSON
# For now, create a placeholder file with instructions
placeholder_data = {
"preset": preset_name,
"config": preset,
"note": "This is a placeholder file.",
"instructions": [
"1. Checkout upstream/main branch: git checkout main",
"2. Run frame capture: python scripts/capture_upstream_comparison.py --preset <name>",
"3. Copy output file to sideline branch",
"4. Checkout sideline branch: git checkout feature/capability-based-deps",
"5. Run comparison: python tests/run_comparison.py --preset <name>",
],
"frames": [], # Empty until properly captured
}
output_file = output_dir / f"{preset_name}_upstream.json"
with open(output_file, "w") as f:
json.dump(placeholder_data, f, indent=2)
print(f"\nPlaceholder file created: {output_file}")
print("\nTo capture actual upstream frames:")
print("1. Ensure you are on upstream/main branch")
print("2. This script needs to be adapted to use upstream-specific rendering")
print("3. The captured frames will be used for comparison with sideline")
return output_file
def main():
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Capture frames from upstream Mainline for comparison"
)
parser.add_argument(
"--preset",
"-p",
required=True,
help="Preset name to capture",
)
parser.add_argument(
"--frames",
"-f",
type=int,
default=30,
help="Number of frames to capture",
)
parser.add_argument(
"--output-dir",
"-o",
type=Path,
default=Path("tests/comparison_output"),
help="Output directory",
)
args = parser.parse_args()
try:
output_file = capture_upstream_frames(
preset_name=args.preset,
frame_count=args.frames,
output_dir=args.output_dir,
)
print(f"\nCapture complete: {output_file}")
except Exception as e:
print(f"Error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Compare captured outputs from different branches or configurations.
This script loads two captured recordings and compares them frame-by-frame,
reporting any differences found.
"""
import argparse
import difflib
import json
from pathlib import Path
def load_recording(file_path: str) -> dict:
"""Load a recording from a JSON file."""
with open(file_path, "r") as f:
return json.load(f)
def compare_frame_buffers(buf1: list[str], buf2: list[str]) -> tuple[int, list[str]]:
"""Compare two frame buffers and return differences.
Returns:
tuple: (difference_count, list of difference descriptions)
"""
differences = []
# Check dimensions
if len(buf1) != len(buf2):
differences.append(f"Height mismatch: {len(buf1)} vs {len(buf2)}")
# Check each line
max_lines = max(len(buf1), len(buf2))
for i in range(max_lines):
if i >= len(buf1):
differences.append(f"Line {i}: Missing in first buffer")
continue
if i >= len(buf2):
differences.append(f"Line {i}: Missing in second buffer")
continue
line1 = buf1[i]
line2 = buf2[i]
if line1 != line2:
# Find the specific differences in the line
if len(line1) != len(line2):
differences.append(
f"Line {i}: Length mismatch ({len(line1)} vs {len(line2)})"
)
# Show a snippet of the difference
max_len = max(len(line1), len(line2))
snippet1 = line1[:50] + "..." if len(line1) > 50 else line1
snippet2 = line2[:50] + "..." if len(line2) > 50 else line2
differences.append(f"Line {i}: '{snippet1}' != '{snippet2}'")
return len(differences), differences
def compare_recordings(
recording1: dict, recording2: dict, max_frames: int = None
) -> dict:
"""Compare two recordings frame-by-frame.
Returns:
dict: Comparison results with summary and detailed differences
"""
results = {
"summary": {},
"frames": [],
"total_differences": 0,
"frames_with_differences": 0,
}
# Compare metadata
results["summary"]["recording1"] = {
"preset": recording1.get("preset", "unknown"),
"frame_count": recording1.get("frame_count", 0),
"width": recording1.get("width", 0),
"height": recording1.get("height", 0),
}
results["summary"]["recording2"] = {
"preset": recording2.get("preset", "unknown"),
"frame_count": recording2.get("frame_count", 0),
"width": recording2.get("width", 0),
"height": recording2.get("height", 0),
}
# Compare frames
frames1 = recording1.get("frames", [])
frames2 = recording2.get("frames", [])
num_frames = min(len(frames1), len(frames2))
if max_frames:
num_frames = min(num_frames, max_frames)
print(f"Comparing {num_frames} frames...")
for frame_idx in range(num_frames):
frame1 = frames1[frame_idx]
frame2 = frames2[frame_idx]
buf1 = frame1.get("buffer", [])
buf2 = frame2.get("buffer", [])
diff_count, differences = compare_frame_buffers(buf1, buf2)
if diff_count > 0:
results["total_differences"] += diff_count
results["frames_with_differences"] += 1
results["frames"].append(
{
"frame_number": frame_idx,
"differences": differences,
"diff_count": diff_count,
}
)
if frame_idx < 5: # Only print first 5 frames with differences
print(f"\nFrame {frame_idx} ({diff_count} differences):")
for diff in differences[:5]: # Limit to 5 differences per frame
print(f" - {diff}")
# Summary
results["summary"]["total_frames_compared"] = num_frames
results["summary"]["frames_with_differences"] = results["frames_with_differences"]
results["summary"]["total_differences"] = results["total_differences"]
results["summary"]["match_percentage"] = (
(1 - results["frames_with_differences"] / num_frames) * 100
if num_frames > 0
else 0
)
return results
def print_comparison_summary(results: dict):
"""Print a summary of the comparison results."""
print("\n" + "=" * 80)
print("COMPARISON SUMMARY")
print("=" * 80)
r1 = results["summary"]["recording1"]
r2 = results["summary"]["recording2"]
print(f"\nRecording 1: {r1['preset']}")
print(
f" Frames: {r1['frame_count']}, Width: {r1['width']}, Height: {r1['height']}"
)
print(f"\nRecording 2: {r2['preset']}")
print(
f" Frames: {r2['frame_count']}, Width: {r2['width']}, Height: {r2['height']}"
)
print(f"\nComparison:")
print(f" Frames compared: {results['summary']['total_frames_compared']}")
print(f" Frames with differences: {results['summary']['frames_with_differences']}")
print(f" Total differences: {results['summary']['total_differences']}")
print(f" Match percentage: {results['summary']['match_percentage']:.2f}%")
if results["summary"]["match_percentage"] == 100:
print("\n✓ Recordings match perfectly!")
else:
print("\n⚠ Recordings have differences.")
def main():
parser = argparse.ArgumentParser(
description="Compare captured outputs from different branches"
)
parser.add_argument(
"recording1",
help="First recording file (JSON)",
)
parser.add_argument(
"recording2",
help="Second recording file (JSON)",
)
parser.add_argument(
"--max-frames",
type=int,
help="Maximum number of frames to compare",
)
parser.add_argument(
"--output",
"-o",
help="Output file for detailed comparison results (JSON)",
)
args = parser.parse_args()
# Load recordings
print(f"Loading {args.recording1}...")
recording1 = load_recording(args.recording1)
print(f"Loading {args.recording2}...")
recording2 = load_recording(args.recording2)
# Compare
results = compare_recordings(recording1, recording2, args.max_frames)
# Print summary
print_comparison_summary(results)
# Save detailed results if requested
if args.output:
output_path = Path(args.output)
output_path.parent.mkdir(parents=True, exist_ok=True)
with open(output_path, "w") as f:
json.dump(results, f, indent=2)
print(f"\nDetailed results saved to {args.output}")
return 0
if __name__ == "__main__":
exit(main())

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#!/usr/bin/env python3
"""
Pygame Demo: Effects with LFO Modulation
This demo shows how to use LFO (Low Frequency Oscillator) to modulate
effect intensities over time, creating smooth animated changes.
Effects modulated:
- noise: Random noise intensity
- fade: Fade effect intensity
- tint: Color tint intensity
- glitch: Glitch effect intensity
The LFO uses a sine wave to oscillate intensity between 0.0 and 1.0.
"""
import sys
import time
from dataclasses import dataclass
from typing import Any
from engine import config
from engine.display import DisplayRegistry
from engine.effects import get_registry
from engine.pipeline import Pipeline, PipelineConfig, PipelineContext, list_presets
from engine.pipeline.params import PipelineParams
from engine.pipeline.preset_loader import load_presets
from engine.sensors.oscillator import OscillatorSensor
from engine.sources import FEEDS
@dataclass
class LFOEffectConfig:
"""Configuration for LFO-modulated effect."""
name: str
frequency: float # LFO frequency in Hz
phase_offset: float # Phase offset (0.0 to 1.0)
min_intensity: float = 0.0
max_intensity: float = 1.0
class LFOEffectDemo:
"""Demo controller that modulates effect intensities using LFO."""
def __init__(self, pipeline: Pipeline):
self.pipeline = pipeline
self.effects = [
LFOEffectConfig("noise", frequency=0.5, phase_offset=0.0),
LFOEffectConfig("fade", frequency=0.3, phase_offset=0.33),
LFOEffectConfig("tint", frequency=0.4, phase_offset=0.66),
LFOEffectConfig("glitch", frequency=0.6, phase_offset=0.9),
]
self.start_time = time.time()
self.frame_count = 0
def update(self):
"""Update effect intensities based on LFO."""
elapsed = time.time() - self.start_time
self.frame_count += 1
for effect_cfg in self.effects:
# Calculate LFO value using sine wave
angle = (
(elapsed * effect_cfg.frequency + effect_cfg.phase_offset) * 2 * 3.14159
)
lfo_value = 0.5 + 0.5 * (angle.__sin__())
# Scale to intensity range
intensity = effect_cfg.min_intensity + lfo_value * (
effect_cfg.max_intensity - effect_cfg.min_intensity
)
# Update effect intensity in pipeline
self.pipeline.set_effect_intensity(effect_cfg.name, intensity)
def run(self, duration: float = 30.0):
"""Run the demo for specified duration."""
print(f"\n{'=' * 60}")
print("LFO EFFECT MODULATION DEMO")
print(f"{'=' * 60}")
print("\nEffects being modulated:")
for effect in self.effects:
print(f" - {effect.name}: {effect.frequency}Hz")
print(f"\nPress Ctrl+C to stop")
print(f"{'=' * 60}\n")
start = time.time()
try:
while time.time() - start < duration:
self.update()
time.sleep(0.016) # ~60 FPS
except KeyboardInterrupt:
print("\n\nDemo stopped by user")
finally:
print(f"\nTotal frames rendered: {self.frame_count}")
def main():
"""Main entry point for the LFO demo."""
# Configuration
effect_names = ["noise", "fade", "tint", "glitch"]
# Get pipeline config from preset
preset_name = "demo-pygame"
presets = load_presets()
preset = presets["presets"].get(preset_name)
if not preset:
print(f"Error: Preset '{preset_name}' not found")
print(f"Available presets: {list(presets['presets'].keys())}")
sys.exit(1)
# Create pipeline context
ctx = PipelineContext()
ctx.terminal_width = preset.get("viewport_width", 80)
ctx.terminal_height = preset.get("viewport_height", 24)
# Create params
params = PipelineParams(
source=preset.get("source", "headlines"),
display="pygame", # Force pygame display
camera_mode=preset.get("camera", "feed"),
effect_order=effect_names, # Enable our effects
viewport_width=preset.get("viewport_width", 80),
viewport_height=preset.get("viewport_height", 24),
)
ctx.params = params
# Create pipeline config
pipeline_config = PipelineConfig(
source=preset.get("source", "headlines"),
display="pygame",
camera=preset.get("camera", "feed"),
effects=effect_names,
)
# Create pipeline
pipeline = Pipeline(config=pipeline_config, context=ctx)
# Build pipeline
pipeline.build()
# Create demo controller
demo = LFOEffectDemo(pipeline)
# Run demo
demo.run(duration=30.0)
if __name__ == "__main__":
main()

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"""
Sideline - A modular pipeline framework for real-time terminal visualization.
Sideline provides a Stage-based pipeline architecture with capability-based
dependency resolution for building real-time visualization applications.
Features:
- Stage-based pipeline execution with DAG dependency resolution
- Capability-based dependency injection
- Display backends (Terminal, WebSocket, Null, etc.)
- Effect plugin system with param bindings
- Sensor framework for real-time input
- Canvas and Camera for 2D rendering
Example:
from sideline.pipeline import Pipeline, PipelineConfig, StageRegistry
pipeline = Pipeline(PipelineConfig(source="custom", display="terminal"))
pipeline.add_stage("source", MyDataSourceStage())
pipeline.add_stage("display", StageRegistry.create("display", "terminal"))
pipeline.build().initialize()
result = pipeline.execute(initial_data)
"""
__version__ = "0.1.0"
# Re-export core components for convenience
from sideline.pipeline import (
Pipeline,
PipelineConfig,
PipelineContext,
Stage,
StageRegistry,
)
from sideline.display import Display, DisplayRegistry
from sideline.effects import Effect, EffectPlugin, EffectRegistry
from sideline.plugins import (
StagePlugin,
Plugin, # Backward compatibility
PluginMetadata,
SecurityCapability,
SecurityManager,
VersionConstraint,
CompatibilityManager,
)
from sideline.preset_packs import (
PresetPack,
PresetPackMetadata,
PresetPackManager,
PresetPackEncoder,
)
__all__ = [
# Pipeline
"Pipeline",
"PipelineConfig",
"PipelineContext",
"Stage",
"StageRegistry",
# Display
"Display",
"DisplayRegistry",
# Effects
"Effect", # Primary class name
"EffectPlugin", # Backward compatibility alias
"EffectRegistry",
# Plugins
"StagePlugin",
"Plugin", # Backward compatibility alias
"PluginMetadata",
"SecurityCapability",
"SecurityManager",
"VersionConstraint",
"CompatibilityManager",
# Preset Packs
"PresetPack",
"PresetPackMetadata",
"PresetPackManager",
"PresetPackEncoder",
]

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"""
Camera system for viewport scrolling.
Provides abstraction for camera motion in different modes:
- Vertical: traditional upward scroll
- Horizontal: left/right movement
- Omni: combination of both
- Floating: sinusoidal/bobbing motion
The camera defines a visible viewport into a larger Canvas.
"""
import math
from collections.abc import Callable
from dataclasses import dataclass, field
from enum import Enum, auto
class CameraMode(Enum):
FEED = auto() # Single item view (static or rapid cycling)
SCROLL = auto() # Smooth vertical scrolling (movie credits style)
HORIZONTAL = auto()
OMNI = auto()
FLOATING = auto()
BOUNCE = auto()
RADIAL = auto() # Polar coordinates (r, theta) for radial scanning
@dataclass
class CameraViewport:
"""Represents the visible viewport."""
x: int
y: int
width: int
height: int
@dataclass
class Camera:
"""Camera for viewport scrolling.
The camera defines a visible viewport into a Canvas.
It can be smaller than the canvas to allow scrolling,
and supports zoom to scale the view.
Attributes:
x: Current horizontal offset (positive = scroll left)
y: Current vertical offset (positive = scroll up)
mode: Current camera mode
speed: Base scroll speed
zoom: Zoom factor (1.0 = 100%, 2.0 = 200% zoom out)
canvas_width: Width of the canvas being viewed
canvas_height: Height of the canvas being viewed
custom_update: Optional custom update function
"""
x: int = 0
y: int = 0
mode: CameraMode = CameraMode.FEED
speed: float = 1.0
zoom: float = 1.0
canvas_width: int = 200 # Larger than viewport for scrolling
canvas_height: int = 200
custom_update: Callable[["Camera", float], None] | None = None
_x_float: float = field(default=0.0, repr=False)
_y_float: float = field(default=0.0, repr=False)
_time: float = field(default=0.0, repr=False)
@property
def w(self) -> int:
"""Shorthand for viewport_width."""
return self.viewport_width
def set_speed(self, speed: float) -> None:
"""Set the camera scroll speed dynamically.
This allows camera speed to be modulated during runtime
via PipelineParams or directly.
Args:
speed: New speed value (0.0 = stopped, >0 = movement)
"""
self.speed = max(0.0, speed)
@property
def h(self) -> int:
"""Shorthand for viewport_height."""
return self.viewport_height
@property
def viewport_width(self) -> int:
"""Get the visible viewport width.
This is the canvas width divided by zoom.
"""
return max(1, int(self.canvas_width / self.zoom))
@property
def viewport_height(self) -> int:
"""Get the visible viewport height.
This is the canvas height divided by zoom.
"""
return max(1, int(self.canvas_height / self.zoom))
def get_viewport(self, viewport_height: int | None = None) -> CameraViewport:
"""Get the current viewport bounds.
Args:
viewport_height: Optional viewport height to use instead of camera's viewport_height
Returns:
CameraViewport with position and size (clamped to canvas bounds)
"""
vw = self.viewport_width
vh = viewport_height if viewport_height is not None else self.viewport_height
clamped_x = max(0, min(self.x, self.canvas_width - vw))
clamped_y = max(0, min(self.y, self.canvas_height - vh))
return CameraViewport(
x=clamped_x,
y=clamped_y,
width=vw,
height=vh,
)
return CameraViewport(
x=clamped_x,
y=clamped_y,
width=vw,
height=vh,
)
def set_zoom(self, zoom: float) -> None:
"""Set the zoom factor.
Args:
zoom: Zoom factor (1.0 = 100%, 2.0 = zoomed out 2x, 0.5 = zoomed in 2x)
"""
self.zoom = max(0.1, min(10.0, zoom))
def update(self, dt: float) -> None:
"""Update camera position based on mode.
Args:
dt: Delta time in seconds
"""
self._time += dt
if self.custom_update:
self.custom_update(self, dt)
return
if self.mode == CameraMode.FEED:
self._update_feed(dt)
elif self.mode == CameraMode.SCROLL:
self._update_scroll(dt)
elif self.mode == CameraMode.HORIZONTAL:
self._update_horizontal(dt)
elif self.mode == CameraMode.OMNI:
self._update_omni(dt)
elif self.mode == CameraMode.FLOATING:
self._update_floating(dt)
elif self.mode == CameraMode.BOUNCE:
self._update_bounce(dt)
elif self.mode == CameraMode.RADIAL:
self._update_radial(dt)
# Bounce mode handles its own bounds checking
if self.mode != CameraMode.BOUNCE:
self._clamp_to_bounds()
def _clamp_to_bounds(self) -> None:
"""Clamp camera position to stay within canvas bounds.
Only clamps if the viewport is smaller than the canvas.
If viewport equals canvas (no scrolling needed), allows any position
for backwards compatibility with original behavior.
"""
vw = self.viewport_width
vh = self.viewport_height
# Only clamp if there's room to scroll
if vw < self.canvas_width:
self.x = max(0, min(self.x, self.canvas_width - vw))
if vh < self.canvas_height:
self.y = max(0, min(self.y, self.canvas_height - vh))
def _update_feed(self, dt: float) -> None:
"""Feed mode: rapid scrolling (1 row per frame at speed=1.0)."""
self.y += int(self.speed * dt * 60)
def _update_scroll(self, dt: float) -> None:
"""Scroll mode: smooth vertical scrolling with float accumulation."""
self._y_float += self.speed * dt * 60
self.y = int(self._y_float)
def _update_horizontal(self, dt: float) -> None:
self.x += int(self.speed * dt * 60)
def _update_omni(self, dt: float) -> None:
speed = self.speed * dt * 60
self.y += int(speed)
self.x += int(speed * 0.5)
def _update_floating(self, dt: float) -> None:
base = self.speed * 30
self.y = int(math.sin(self._time * 2) * base)
self.x = int(math.cos(self._time * 1.5) * base * 0.5)
def _update_bounce(self, dt: float) -> None:
"""Bouncing DVD-style camera that bounces off canvas edges."""
vw = self.viewport_width
vh = self.viewport_height
# Initialize direction if not set
if not hasattr(self, "_bounce_dx"):
self._bounce_dx = 1
self._bounce_dy = 1
# Calculate max positions
max_x = max(0, self.canvas_width - vw)
max_y = max(0, self.canvas_height - vh)
# Move
move_speed = self.speed * dt * 60
# Bounce off edges - reverse direction when hitting bounds
self.x += int(move_speed * self._bounce_dx)
self.y += int(move_speed * self._bounce_dy)
# Bounce horizontally
if self.x <= 0:
self.x = 0
self._bounce_dx = 1
elif self.x >= max_x:
self.x = max_x
self._bounce_dx = -1
# Bounce vertically
if self.y <= 0:
self.y = 0
self._bounce_dy = 1
elif self.y >= max_y:
self.y = max_y
self._bounce_dy = -1
def _update_radial(self, dt: float) -> None:
"""Radial camera mode: polar coordinate scrolling (r, theta).
The camera rotates around the center of the canvas while optionally
moving outward/inward along rays. This enables:
- Radar sweep animations
- Pendulum view oscillation
- Spiral scanning motion
Uses polar coordinates internally:
- _r_float: radial distance from center (accumulates smoothly)
- _theta_float: angle in radians (accumulates smoothly)
- Updates x, y based on conversion from polar to Cartesian
"""
# Initialize radial state if needed
if not hasattr(self, "_r_float"):
self._r_float = 0.0
self._theta_float = 0.0
# Update angular position (rotation around center)
# Speed controls rotation rate
theta_speed = self.speed * dt * 1.0 # radians per second
self._theta_float += theta_speed
# Update radial position (inward/outward from center)
# Can be modulated by external sensor
if hasattr(self, "_radial_input"):
r_input = self._radial_input
else:
# Default: slow outward drift
r_input = 0.0
r_speed = self.speed * dt * 20.0 # pixels per second
self._r_float += r_input + r_speed * 0.01
# Clamp radial position to canvas bounds
max_r = min(self.canvas_width, self.canvas_height) / 2
self._r_float = max(0.0, min(self._r_float, max_r))
# Convert polar to Cartesian, centered at canvas center
center_x = self.canvas_width / 2
center_y = self.canvas_height / 2
self.x = int(center_x + self._r_float * math.cos(self._theta_float))
self.y = int(center_y + self._r_float * math.sin(self._theta_float))
# Clamp to canvas bounds
self._clamp_to_bounds()
def set_radial_input(self, value: float) -> None:
"""Set radial input for sensor-driven radius modulation.
Args:
value: Sensor value (0-1) that modulates radial distance
"""
self._radial_input = value * 10.0 # Scale to reasonable pixel range
def set_radial_angle(self, angle: float) -> None:
"""Set radial angle directly (for OSC integration).
Args:
angle: Angle in radians (0 to 2π)
"""
self._theta_float = angle
def reset(self) -> None:
"""Reset camera position and state."""
self.x = 0
self.y = 0
self._time = 0.0
self.zoom = 1.0
# Reset bounce direction state
if hasattr(self, "_bounce_dx"):
self._bounce_dx = 1
self._bounce_dy = 1
# Reset radial state
if hasattr(self, "_r_float"):
self._r_float = 0.0
self._theta_float = 0.0
def set_canvas_size(self, width: int, height: int) -> None:
"""Set the canvas size and clamp position if needed.
Args:
width: New canvas width
height: New canvas height
"""
self.canvas_width = width
self.canvas_height = height
self._clamp_to_bounds()
def apply(
self, buffer: list[str], viewport_width: int, viewport_height: int | None = None
) -> list[str]:
"""Apply camera viewport to a text buffer.
Slices the buffer based on camera position (x, y) and viewport dimensions.
Handles ANSI escape codes correctly for colored/styled text.
Args:
buffer: List of strings representing lines of text
viewport_width: Width of the visible viewport in characters
viewport_height: Height of the visible viewport (overrides camera's viewport_height if provided)
Returns:
Sliced buffer containing only the visible lines and columns
"""
from sideline.effects.legacy import vis_offset, vis_trunc
if not buffer:
return buffer
# Get current viewport bounds (clamped to canvas size)
viewport = self.get_viewport(viewport_height)
# Use provided viewport_height if given, otherwise use camera's viewport
vh = viewport_height if viewport_height is not None else viewport.height
# Vertical slice: extract lines that fit in viewport height
start_y = viewport.y
end_y = min(viewport.y + vh, len(buffer))
if start_y >= len(buffer):
# Scrolled past end of buffer, return empty viewport
return [""] * vh
vertical_slice = buffer[start_y:end_y]
# Horizontal slice: apply horizontal offset and truncate to width
horizontal_slice = []
for line in vertical_slice:
# Apply horizontal offset (skip first x characters, handling ANSI)
offset_line = vis_offset(line, viewport.x)
# Truncate to viewport width (handling ANSI)
truncated_line = vis_trunc(offset_line, viewport_width)
# Pad line to full viewport width to prevent ghosting when panning
# Skip padding for empty lines to preserve intentional blank lines
import re
visible_len = len(re.sub(r"\x1b\[[0-9;]*m", "", truncated_line))
if visible_len < viewport_width and visible_len > 0:
truncated_line += " " * (viewport_width - visible_len)
horizontal_slice.append(truncated_line)
# Pad with empty lines if needed to fill viewport height
while len(horizontal_slice) < vh:
horizontal_slice.append("")
return horizontal_slice
@classmethod
def feed(cls, speed: float = 1.0) -> "Camera":
"""Create a feed camera (rapid single-item scrolling, 1 row/frame at speed=1.0)."""
return cls(mode=CameraMode.FEED, speed=speed, canvas_height=200)
@classmethod
def scroll(cls, speed: float = 0.5) -> "Camera":
"""Create a smooth scrolling camera (movie credits style).
Uses float accumulation for sub-integer speeds.
Sets canvas_width=0 so it matches viewport_width for proper text wrapping.
"""
return cls(
mode=CameraMode.SCROLL, speed=speed, canvas_width=0, canvas_height=200
)
@classmethod
def vertical(cls, speed: float = 1.0) -> "Camera":
"""Deprecated: Use feed() or scroll() instead."""
return cls(mode=CameraMode.FEED, speed=speed, canvas_height=200)
@classmethod
def horizontal(cls, speed: float = 1.0) -> "Camera":
"""Create a horizontal scrolling camera."""
return cls(mode=CameraMode.HORIZONTAL, speed=speed, canvas_width=200)
@classmethod
def omni(cls, speed: float = 1.0) -> "Camera":
"""Create an omnidirectional scrolling camera."""
return cls(
mode=CameraMode.OMNI, speed=speed, canvas_width=200, canvas_height=200
)
@classmethod
def floating(cls, speed: float = 1.0) -> "Camera":
"""Create a floating/bobbing camera."""
return cls(
mode=CameraMode.FLOATING, speed=speed, canvas_width=200, canvas_height=200
)
@classmethod
def bounce(cls, speed: float = 1.0) -> "Camera":
"""Create a bouncing DVD-style camera that bounces off canvas edges."""
return cls(
mode=CameraMode.BOUNCE, speed=speed, canvas_width=200, canvas_height=200
)
@classmethod
def radial(cls, speed: float = 1.0) -> "Camera":
"""Create a radial camera (polar coordinate scanning).
The camera rotates around the center of the canvas with smooth angular motion.
Enables radar sweep, pendulum view, and spiral scanning animations.
Args:
speed: Rotation speed (higher = faster rotation)
Returns:
Camera configured for radial polar coordinate scanning
"""
cam = cls(
mode=CameraMode.RADIAL, speed=speed, canvas_width=200, canvas_height=200
)
# Initialize radial state
cam._r_float = 0.0
cam._theta_float = 0.0
return cam
@classmethod
def custom(cls, update_fn: Callable[["Camera", float], None]) -> "Camera":
"""Create a camera with custom update function."""
return cls(custom_update=update_fn)

186
sideline/canvas.py Normal file
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"""
Canvas - 2D surface for rendering.
The Canvas represents a full rendered surface that can be larger than the display.
The Camera then defines the visible viewport into this canvas.
"""
from dataclasses import dataclass
@dataclass
class CanvasRegion:
"""A rectangular region on the canvas."""
x: int
y: int
width: int
height: int
def is_valid(self) -> bool:
"""Check if region has positive dimensions."""
return self.width > 0 and self.height > 0
def rows(self) -> set[int]:
"""Return set of row indices in this region."""
return set(range(self.y, self.y + self.height))
class Canvas:
"""2D canvas for rendering content.
The canvas is a 2D grid of cells that can hold text content.
It can be larger than the visible viewport (display).
Attributes:
width: Total width in characters
height: Total height in characters
"""
def __init__(self, width: int = 80, height: int = 24):
self.width = width
self.height = height
self._grid: list[list[str]] = [
[" " for _ in range(width)] for _ in range(height)
]
self._dirty_regions: list[CanvasRegion] = [] # Track dirty regions
def clear(self) -> None:
"""Clear the entire canvas."""
self._grid = [[" " for _ in range(self.width)] for _ in range(self.height)]
self._dirty_regions = [CanvasRegion(0, 0, self.width, self.height)]
def mark_dirty(self, x: int, y: int, width: int, height: int) -> None:
"""Mark a region as dirty (caller declares what they changed)."""
self._dirty_regions.append(CanvasRegion(x, y, width, height))
def get_dirty_regions(self) -> list[CanvasRegion]:
"""Get all dirty regions and clear the set."""
regions = self._dirty_regions
self._dirty_regions = []
return regions
def get_dirty_rows(self) -> set[int]:
"""Get union of all dirty rows."""
rows: set[int] = set()
for region in self._dirty_regions:
rows.update(region.rows())
return rows
def is_dirty(self) -> bool:
"""Check if any region is dirty."""
return len(self._dirty_regions) > 0
def get_region(self, x: int, y: int, width: int, height: int) -> list[list[str]]:
"""Get a rectangular region from the canvas.
Args:
x: Left position
y: Top position
width: Region width
height: Region height
Returns:
2D list of characters (height rows, width columns)
"""
region: list[list[str]] = []
for py in range(y, y + height):
row: list[str] = []
for px in range(x, x + width):
if 0 <= py < self.height and 0 <= px < self.width:
row.append(self._grid[py][px])
else:
row.append(" ")
region.append(row)
return region
def get_region_flat(self, x: int, y: int, width: int, height: int) -> list[str]:
"""Get a rectangular region as flat list of lines.
Args:
x: Left position
y: Top position
width: Region width
height: Region height
Returns:
List of strings (one per row)
"""
region = self.get_region(x, y, width, height)
return ["".join(row) for row in region]
def put_region(self, x: int, y: int, content: list[list[str]]) -> None:
"""Put content into a rectangular region on the canvas.
Args:
x: Left position
y: Top position
content: 2D list of characters to place
"""
height = len(content) if content else 0
width = len(content[0]) if height > 0 else 0
for py, row in enumerate(content):
for px, char in enumerate(row):
canvas_x = x + px
canvas_y = y + py
if 0 <= canvas_y < self.height and 0 <= canvas_x < self.width:
self._grid[canvas_y][canvas_x] = char
if width > 0 and height > 0:
self.mark_dirty(x, y, width, height)
def put_text(self, x: int, y: int, text: str) -> None:
"""Put a single line of text at position.
Args:
x: Left position
y: Row position
text: Text to place
"""
text_len = len(text)
for i, char in enumerate(text):
canvas_x = x + i
if 0 <= canvas_x < self.width and 0 <= y < self.height:
self._grid[y][canvas_x] = char
if text_len > 0:
self.mark_dirty(x, y, text_len, 1)
def fill(self, x: int, y: int, width: int, height: int, char: str = " ") -> None:
"""Fill a rectangular region with a character.
Args:
x: Left position
y: Top position
width: Region width
height: Region height
char: Character to fill with
"""
for py in range(y, y + height):
for px in range(x, x + width):
if 0 <= py < self.height and 0 <= px < self.width:
self._grid[py][px] = char
if width > 0 and height > 0:
self.mark_dirty(x, y, width, height)
def resize(self, width: int, height: int) -> None:
"""Resize the canvas.
Args:
width: New width
height: New height
"""
if width == self.width and height == self.height:
return
new_grid: list[list[str]] = [[" " for _ in range(width)] for _ in range(height)]
for py in range(min(self.height, height)):
for px in range(min(self.width, width)):
new_grid[py][px] = self._grid[py][px]
self.width = width
self.height = height
self._grid = new_grid

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"""
Data source types for Sideline.
This module defines the data structures used by data sources.
"""
from dataclasses import dataclass
from typing import Any, Optional
@dataclass
class SourceItem:
"""A single item from a data source."""
content: str
source: str
timestamp: str
metadata: Optional[dict[str, Any]] = None
@dataclass
class ImageItem:
"""An image item from a data source - wraps a PIL Image."""
image: Any # PIL Image
source: str
timestamp: str
path: Optional[str] = None # File path or URL if applicable
metadata: Optional[dict[str, Any]] = None
__all__ = ["SourceItem", "ImageItem"]

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"""
Display backend system with registry pattern.
Allows swapping output backends via the Display protocol.
Supports auto-discovery of display backends.
"""
from enum import Enum, auto
from typing import Protocol
# Optional backend - requires moderngl package
try:
from sideline.display.backends.moderngl import ModernGLDisplay
_MODERNGL_AVAILABLE = True
except ImportError:
ModernGLDisplay = None
_MODERNGL_AVAILABLE = False
from sideline.display.backends.multi import MultiDisplay
from sideline.display.backends.null import NullDisplay
from sideline.display.backends.pygame import PygameDisplay
from sideline.display.backends.replay import ReplayDisplay
from sideline.display.backends.terminal import TerminalDisplay
from sideline.display.backends.websocket import WebSocketDisplay
class BorderMode(Enum):
"""Border rendering modes for displays."""
OFF = auto() # No border
SIMPLE = auto() # Traditional border with FPS/frame time
UI = auto() # Right-side UI panel with interactive controls
class Display(Protocol):
"""Protocol for display backends.
Required attributes:
- width: int
- height: int
Required methods (duck typing - actual signatures may vary):
- init(width, height, reuse=False)
- show(buffer, border=False)
- clear()
- cleanup()
- get_dimensions() -> (width, height)
Optional attributes (for UI mode):
- ui_panel: UIPanel instance (set by app when border=UI)
Optional methods:
- is_quit_requested() -> bool
- clear_quit_request() -> None
"""
width: int
height: int
class DisplayRegistry:
"""Registry for display backends with auto-discovery."""
_backends: dict[str, type[Display]] = {}
_initialized = False
@classmethod
def register(cls, name: str, backend_class: type[Display]) -> None:
cls._backends[name.lower()] = backend_class
@classmethod
def get(cls, name: str) -> type[Display] | None:
return cls._backends.get(name.lower())
@classmethod
def list_backends(cls) -> list[str]:
return list(cls._backends.keys())
@classmethod
def create(cls, name: str, **kwargs) -> Display | None:
cls.initialize()
backend_class = cls.get(name)
if backend_class:
return backend_class(**kwargs)
return None
@classmethod
def initialize(cls) -> None:
if cls._initialized:
return
cls.register("terminal", TerminalDisplay)
cls.register("null", NullDisplay)
cls.register("replay", ReplayDisplay)
cls.register("websocket", WebSocketDisplay)
cls.register("pygame", PygameDisplay)
if _MODERNGL_AVAILABLE:
cls.register("moderngl", ModernGLDisplay) # type: ignore[arg-type]
cls._initialized = True
@classmethod
def create_multi(cls, names: list[str]) -> MultiDisplay | None:
displays = []
for name in names:
backend = cls.create(name)
if backend:
displays.append(backend)
else:
return None
if not displays:
return None
return MultiDisplay(displays)
def get_monitor():
"""Get the performance monitor."""
try:
from sideline.effects.performance import get_monitor as _get_monitor
return _get_monitor()
except Exception:
return None
def _strip_ansi(s: str) -> str:
"""Strip ANSI escape sequences from string for length calculation."""
import re
return re.sub(r"\x1b\[[0-9;]*[a-zA-Z]", "", s)
def _render_simple_border(
buf: list[str], width: int, height: int, fps: float = 0.0, frame_time: float = 0.0
) -> list[str]:
"""Render a traditional border around the buffer."""
if not buf or width < 3 or height < 3:
return buf
inner_w = width - 2
inner_h = height - 2
cropped = []
for i in range(min(inner_h, len(buf))):
line = buf[i]
visible_len = len(_strip_ansi(line))
if visible_len > inner_w:
cropped.append(line[:inner_w])
else:
cropped.append(line + " " * (inner_w - visible_len))
while len(cropped) < inner_h:
cropped.append(" " * inner_w)
if fps > 0:
fps_str = f" FPS:{fps:.0f}"
if len(fps_str) < inner_w:
right_len = inner_w - len(fps_str)
top_border = "" + "" * right_len + fps_str + ""
else:
top_border = "" + "" * inner_w + ""
else:
top_border = "" + "" * inner_w + ""
if frame_time > 0:
ft_str = f" {frame_time:.1f}ms"
if len(ft_str) < inner_w:
right_len = inner_w - len(ft_str)
bottom_border = "" + "" * right_len + ft_str + ""
else:
bottom_border = "" + "" * inner_w + ""
else:
bottom_border = "" + "" * inner_w + ""
result = [top_border]
for line in cropped:
if len(line) < inner_w:
line = line + " " * (inner_w - len(line))
elif len(line) > inner_w:
line = line[:inner_w]
result.append("" + line + "")
result.append(bottom_border)
return result
def render_ui_panel(
buf: list[str],
width: int,
height: int,
ui_panel,
fps: float = 0.0,
frame_time: float = 0.0,
) -> list[str]:
"""Render buffer with a right-side UI panel."""
# Note: UIPanel is in engine/pipeline/ui.py (Mainline-specific)
# This function is kept in sideline for compatibility but requires Mainline import
try:
from sideline.pipeline.ui import UIPanel
except ImportError:
# If UIPanel is not available, fall back to simple border
return _render_simple_border(buf, width, height, fps, frame_time)
if not isinstance(ui_panel, UIPanel):
return _render_simple_border(buf, width, height, fps, frame_time)
panel_width = min(ui_panel.config.panel_width, width - 4)
main_width = width - panel_width - 1
panel_lines = ui_panel.render(panel_width, height)
main_buf = buf[: height - 2]
main_result = _render_simple_border(
main_buf, main_width + 2, height, fps, frame_time
)
combined = []
for i in range(height):
if i < len(main_result):
main_line = main_result[i]
if len(main_line) >= 2:
main_content = (
main_line[1:-1] if main_line[-1] in "│┌┐└┘" else main_line[1:]
)
main_content = main_content.ljust(main_width)[:main_width]
else:
main_content = " " * main_width
else:
main_content = " " * main_width
panel_idx = i
panel_line = (
panel_lines[panel_idx][:panel_width].ljust(panel_width)
if panel_idx < len(panel_lines)
else " " * panel_width
)
separator = "" if 0 < i < height - 1 else "" if i == 0 else ""
combined.append(main_content + separator + panel_line)
return combined
def render_border(
buf: list[str],
width: int,
height: int,
fps: float = 0.0,
frame_time: float = 0.0,
border_mode: BorderMode | bool = BorderMode.SIMPLE,
) -> list[str]:
"""Render a border or UI panel around the buffer.
Args:
buf: Input buffer
width: Display width
height: Display height
fps: FPS for top border
frame_time: Frame time for bottom border
border_mode: Border rendering mode
Returns:
Buffer with border/panel applied
"""
# Normalize border_mode to BorderMode enum
if isinstance(border_mode, bool):
border_mode = BorderMode.SIMPLE if border_mode else BorderMode.OFF
if border_mode == BorderMode.UI:
# UI panel requires a UIPanel instance (injected separately)
# For now, this will be called by displays that have a ui_panel attribute
# This function signature doesn't include ui_panel, so we'll handle it in render_ui_panel
# Fall back to simple border if no panel available
return _render_simple_border(buf, width, height, fps, frame_time)
elif border_mode == BorderMode.SIMPLE:
return _render_simple_border(buf, width, height, fps, frame_time)
else:
return buf
__all__ = [
"Display",
"DisplayRegistry",
"get_monitor",
"render_border",
"render_ui_panel",
"BorderMode",
"TerminalDisplay",
"NullDisplay",
"ReplayDisplay",
"WebSocketDisplay",
"MultiDisplay",
"PygameDisplay",
]
if _MODERNGL_AVAILABLE:
__all__.append("ModernGLDisplay")

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"""
Animation Report Display Backend
Captures frames from pipeline stages and generates an interactive HTML report
showing before/after states for each transformative stage.
"""
import time
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from typing import Any
from sideline.display.streaming import compute_diff
@dataclass
class CapturedFrame:
"""A captured frame with metadata."""
stage: str
buffer: list[str]
timestamp: float
frame_number: int
diff_from_previous: dict[str, Any] | None = None
@dataclass
class StageCapture:
"""Captures frames for a single pipeline stage."""
name: str
frames: list[CapturedFrame] = field(default_factory=list)
start_time: float = field(default_factory=time.time)
end_time: float = 0.0
def add_frame(
self,
buffer: list[str],
frame_number: int,
previous_buffer: list[str] | None = None,
) -> None:
"""Add a captured frame."""
timestamp = time.time()
diff = None
if previous_buffer is not None:
diff_data = compute_diff(previous_buffer, buffer)
diff = {
"changed_lines": len(diff_data.changed_lines),
"total_lines": len(buffer),
"width": diff_data.width,
"height": diff_data.height,
}
frame = CapturedFrame(
stage=self.name,
buffer=list(buffer),
timestamp=timestamp,
frame_number=frame_number,
diff_from_previous=diff,
)
self.frames.append(frame)
def finish(self) -> None:
"""Mark capture as finished."""
self.end_time = time.time()
class AnimationReportDisplay:
"""
Display backend that captures frames for animation report generation.
Instead of rendering to terminal, this display captures the buffer at each
stage and stores it for later HTML report generation.
"""
width: int = 80
height: int = 24
def __init__(self, output_dir: str = "./reports"):
"""
Initialize the animation report display.
Args:
output_dir: Directory where reports will be saved
"""
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
self._stages: dict[str, StageCapture] = {}
self._current_stage: str = ""
self._previous_buffer: list[str] | None = None
self._frame_number: int = 0
self._total_frames: int = 0
self._start_time: float = 0.0
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize display with dimensions."""
self.width = width
self.height = height
self._start_time = time.time()
def show(self, buffer: list[str], border: bool = False) -> None:
"""
Capture a frame for the current stage.
Args:
buffer: The frame buffer to capture
border: Border flag (ignored)
"""
if not self._current_stage:
# If no stage is set, use a default name
self._current_stage = "final"
if self._current_stage not in self._stages:
self._stages[self._current_stage] = StageCapture(self._current_stage)
stage = self._stages[self._current_stage]
stage.add_frame(buffer, self._frame_number, self._previous_buffer)
self._previous_buffer = list(buffer)
self._frame_number += 1
self._total_frames += 1
def start_stage(self, stage_name: str) -> None:
"""
Start capturing frames for a new stage.
Args:
stage_name: Name of the stage (e.g., "noise", "fade", "firehose")
"""
if self._current_stage and self._current_stage in self._stages:
# Finish previous stage
self._stages[self._current_stage].finish()
self._current_stage = stage_name
self._previous_buffer = None # Reset for new stage
def clear(self) -> None:
"""Clear the display (no-op for report display)."""
pass
def cleanup(self) -> None:
"""Cleanup resources."""
# Finish current stage
if self._current_stage and self._current_stage in self._stages:
self._stages[self._current_stage].finish()
def get_dimensions(self) -> tuple[int, int]:
"""Get current dimensions."""
return (self.width, self.height)
def get_stages(self) -> dict[str, StageCapture]:
"""Get all captured stages."""
return self._stages
def generate_report(self, title: str = "Animation Report") -> Path:
"""
Generate an HTML report with captured frames and animations.
Args:
title: Title of the report
Returns:
Path to the generated HTML file
"""
report_path = self.output_dir / f"animation_report_{int(time.time())}.html"
html_content = self._build_html(title)
report_path.write_text(html_content)
return report_path
def _build_html(self, title: str) -> str:
"""Build the HTML content for the report."""
# Collect all frames across stages
all_frames = []
for stage_name, stage in self._stages.items():
for frame in stage.frames:
all_frames.append(frame)
# Sort frames by timestamp
all_frames.sort(key=lambda f: f.timestamp)
# Build stage sections
stages_html = ""
for stage_name, stage in self._stages.items():
stages_html += self._build_stage_section(stage_name, stage)
# Build full HTML
html = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{title}</title>
<style>
* {{
box-sizing: border-box;
margin: 0;
padding: 0;
}}
body {{
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
background: #1a1a2e;
color: #eee;
padding: 20px;
line-height: 1.6;
}}
.container {{
max-width: 1400px;
margin: 0 auto;
}}
.header {{
background: linear-gradient(135deg, #16213e 0%, #1a1a2e 100%);
padding: 30px;
border-radius: 12px;
margin-bottom: 30px;
text-align: center;
box-shadow: 0 4px 20px rgba(0,0,0,0.3);
}}
.header h1 {{
font-size: 2.5em;
margin-bottom: 10px;
background: linear-gradient(90deg, #00d4ff, #00ff88);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}}
.header .meta {{
color: #888;
font-size: 0.9em;
}}
.stats-grid {{
display: grid;
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
gap: 15px;
margin: 20px 0;
}}
.stat-card {{
background: #16213e;
padding: 15px;
border-radius: 8px;
text-align: center;
}}
.stat-value {{
font-size: 1.8em;
font-weight: bold;
color: #00ff88;
}}
.stat-label {{
color: #888;
font-size: 0.85em;
margin-top: 5px;
}}
.stage-section {{
background: #16213e;
border-radius: 12px;
margin-bottom: 25px;
overflow: hidden;
box-shadow: 0 2px 10px rgba(0,0,0,0.2);
}}
.stage-header {{
background: #1f2a48;
padding: 15px 20px;
display: flex;
justify-content: space-between;
align-items: center;
cursor: pointer;
user-select: none;
}}
.stage-header:hover {{
background: #253252;
}}
.stage-name {{
font-weight: bold;
font-size: 1.1em;
color: #00d4ff;
}}
.stage-info {{
color: #888;
font-size: 0.9em;
}}
.stage-content {{
padding: 20px;
}}
.frames-container {{
display: grid;
grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
gap: 15px;
}}
.frame-card {{
background: #0f0f1a;
border-radius: 8px;
overflow: hidden;
border: 1px solid #333;
transition: transform 0.2s, box-shadow 0.2s;
}}
.frame-card:hover {{
transform: translateY(-2px);
box-shadow: 0 4px 15px rgba(0,212,255,0.2);
}}
.frame-header {{
background: #1a1a2e;
padding: 10px 15px;
font-size: 0.85em;
color: #888;
border-bottom: 1px solid #333;
display: flex;
justify-content: space-between;
}}
.frame-number {{
color: #00ff88;
}}
.frame-diff {{
color: #ff6b6b;
}}
.frame-content {{
padding: 10px;
font-family: 'Fira Code', 'Consolas', 'Monaco', monospace;
font-size: 11px;
line-height: 1.3;
white-space: pre;
overflow-x: auto;
max-height: 200px;
overflow-y: auto;
}}
.timeline-section {{
background: #16213e;
border-radius: 12px;
padding: 20px;
margin-bottom: 25px;
}}
.timeline-header {{
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 15px;
}}
.timeline-title {{
font-weight: bold;
color: #00d4ff;
}}
.timeline-controls {{
display: flex;
gap: 10px;
}}
.timeline-controls button {{
background: #1f2a48;
border: 1px solid #333;
color: #eee;
padding: 8px 15px;
border-radius: 6px;
cursor: pointer;
transition: all 0.2s;
}}
.timeline-controls button:hover {{
background: #253252;
border-color: #00d4ff;
}}
.timeline-controls button.active {{
background: #00d4ff;
color: #000;
}}
.timeline-canvas {{
width: 100%;
height: 100px;
background: #0f0f1a;
border-radius: 8px;
position: relative;
overflow: hidden;
}}
.timeline-track {{
position: absolute;
top: 50%;
left: 0;
right: 0;
height: 4px;
background: #333;
transform: translateY(-50%);
}}
.timeline-marker {{
position: absolute;
top: 50%;
transform: translate(-50%, -50%);
width: 12px;
height: 12px;
background: #00d4ff;
border-radius: 50%;
cursor: pointer;
transition: all 0.2s;
}}
.timeline-marker:hover {{
transform: translate(-50%, -50%) scale(1.3);
box-shadow: 0 0 10px #00d4ff;
}}
.timeline-marker.stage-{{stage_name}} {{
background: var(--stage-color, #00d4ff);
}}
.comparison-view {{
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
margin-top: 20px;
}}
.comparison-panel {{
background: #0f0f1a;
border-radius: 8px;
padding: 15px;
border: 1px solid #333;
}}
.comparison-panel h4 {{
color: #888;
margin-bottom: 10px;
font-size: 0.9em;
}}
.comparison-content {{
font-family: 'Fira Code', 'Consolas', 'Monaco', monospace;
font-size: 11px;
line-height: 1.3;
white-space: pre;
}}
.diff-added {{
background: rgba(0, 255, 136, 0.2);
}}
.diff-removed {{
background: rgba(255, 107, 107, 0.2);
}}
@keyframes pulse {{
0%, 100% {{ opacity: 1; }}
50% {{ opacity: 0.7; }}
}}
.animating {{
animation: pulse 1s infinite;
}}
.footer {{
text-align: center;
color: #666;
padding: 20px;
font-size: 0.9em;
}}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>🎬 {title}</h1>
<div class="meta">
Generated: {datetime.now().strftime("%Y-%m-%d %H:%M:%S")} |
Total Frames: {self._total_frames} |
Duration: {time.time() - self._start_time:.2f}s
</div>
<div class="stats-grid">
<div class="stat-card">
<div class="stat-value">{len(self._stages)}</div>
<div class="stat-label">Pipeline Stages</div>
</div>
<div class="stat-card">
<div class="stat-value">{self._total_frames}</div>
<div class="stat-label">Total Frames</div>
</div>
<div class="stat-card">
<div class="stat-value">{time.time() - self._start_time:.2f}s</div>
<div class="stat-label">Capture Duration</div>
</div>
<div class="stat-card">
<div class="stat-value">{self.width}x{self.height}</div>
<div class="stat-label">Resolution</div>
</div>
</div>
</div>
<div class="timeline-section">
<div class="timeline-header">
<div class="timeline-title">Timeline</div>
<div class="timeline-controls">
<button onclick="playAnimation()">▶ Play</button>
<button onclick="pauseAnimation()">⏸ Pause</button>
<button onclick="stepForward()">⏭ Step</button>
</div>
</div>
<div class="timeline-canvas" id="timeline">
<div class="timeline-track"></div>
<!-- Timeline markers will be added by JavaScript -->
</div>
</div>
{stages_html}
<div class="footer">
<p>Animation Report generated by Mainline</p>
<p>Use the timeline controls above to play/pause the animation</p>
</div>
</div>
<script>
// Animation state
let currentFrame = 0;
let isPlaying = false;
let animationInterval = null;
const totalFrames = {len(all_frames)};
// Stage colors for timeline markers
const stageColors = {{
{self._build_stage_colors()}
}};
// Initialize timeline
function initTimeline() {{
const timeline = document.getElementById('timeline');
const track = timeline.querySelector('.timeline-track');
{self._build_timeline_markers(all_frames)}
}}
function playAnimation() {{
if (isPlaying) return;
isPlaying = true;
animationInterval = setInterval(() => {{
currentFrame = (currentFrame + 1) % totalFrames;
updateFrameDisplay();
}}, 100);
}}
function pauseAnimation() {{
isPlaying = false;
if (animationInterval) {{
clearInterval(animationInterval);
animationInterval = null;
}}
}}
function stepForward() {{
currentFrame = (currentFrame + 1) % totalFrames;
updateFrameDisplay();
}}
function updateFrameDisplay() {{
// Highlight current frame in timeline
const markers = document.querySelectorAll('.timeline-marker');
markers.forEach((marker, index) => {{
if (index === currentFrame) {{
marker.style.transform = 'translate(-50%, -50%) scale(1.5)';
marker.style.boxShadow = '0 0 15px #00ff88';
}} else {{
marker.style.transform = 'translate(-50%, -50%) scale(1)';
marker.style.boxShadow = 'none';
}}
}});
}}
// Initialize on page load
document.addEventListener('DOMContentLoaded', initTimeline);
</script>
</body>
</html>
"""
return html
def _build_stage_section(self, stage_name: str, stage: StageCapture) -> str:
"""Build HTML for a single stage section."""
frames_html = ""
for i, frame in enumerate(stage.frames):
diff_info = ""
if frame.diff_from_previous:
changed = frame.diff_from_previous.get("changed_lines", 0)
total = frame.diff_from_previous.get("total_lines", 0)
diff_info = f'<span class="frame-diff"{changed}/{total}</span>'
frames_html += f"""
<div class="frame-card">
<div class="frame-header">
<span>Frame <span class="frame-number">{frame.frame_number}</span></span>
{diff_info}
</div>
<div class="frame-content">{self._escape_html("".join(frame.buffer))}</div>
</div>
"""
return f"""
<div class="stage-section">
<div class="stage-header" onclick="this.nextElementSibling.classList.toggle('hidden')">
<span class="stage-name">{stage_name}</span>
<span class="stage-info">{len(stage.frames)} frames</span>
</div>
<div class="stage-content">
<div class="frames-container">
{frames_html}
</div>
</div>
</div>
"""
def _build_timeline(self, all_frames: list[CapturedFrame]) -> str:
"""Build timeline HTML."""
if not all_frames:
return ""
markers_html = ""
for i, frame in enumerate(all_frames):
left_percent = (i / len(all_frames)) * 100
markers_html += f'<div class="timeline-marker" style="left: {left_percent}%" data-frame="{i}"></div>'
return markers_html
def _build_stage_colors(self) -> str:
"""Build stage color mapping for JavaScript."""
colors = [
"#00d4ff",
"#00ff88",
"#ff6b6b",
"#ffd93d",
"#a855f7",
"#ec4899",
"#14b8a6",
"#f97316",
"#8b5cf6",
"#06b6d4",
]
color_map = ""
for i, stage_name in enumerate(self._stages.keys()):
color = colors[i % len(colors)]
color_map += f' "{stage_name}": "{color}",\n'
return color_map.rstrip(",\n")
def _build_timeline_markers(self, all_frames: list[CapturedFrame]) -> str:
"""Build timeline markers in JavaScript."""
if not all_frames:
return ""
markers_js = ""
for i, frame in enumerate(all_frames):
left_percent = (i / len(all_frames)) * 100
stage_color = f"stageColors['{frame.stage}']"
markers_js += f"""
const marker{i} = document.createElement('div');
marker{i}.className = 'timeline-marker stage-{{frame.stage}}';
marker{i}.style.left = '{left_percent}%';
marker{i}.style.setProperty('--stage-color', {stage_color});
marker{i}.onclick = () => {{
currentFrame = {i};
updateFrameDisplay();
}};
timeline.appendChild(marker{i});
"""
return markers_js
def _escape_html(self, text: str) -> str:
"""Escape HTML special characters."""
return (
text.replace("&", "&amp;")
.replace("<", "&lt;")
.replace(">", "&gt;")
.replace('"', "&quot;")
.replace("'", "&#39;")
)

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"""
Multi display backend - forwards to multiple displays.
"""
class MultiDisplay:
"""Display that forwards to multiple displays.
Supports reuse - passes reuse flag to all child displays.
"""
width: int = 80
height: int = 24
def __init__(self, displays: list):
self.displays = displays
self.width = 80
self.height = 24
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize all child displays with dimensions.
Args:
width: Terminal width in characters
height: Terminal height in rows
reuse: If True, use reuse mode for child displays
"""
self.width = width
self.height = height
for d in self.displays:
d.init(width, height, reuse=reuse)
def show(self, buffer: list[str], border: bool = False) -> None:
for d in self.displays:
d.show(buffer, border=border)
def clear(self) -> None:
for d in self.displays:
d.clear()
def get_dimensions(self) -> tuple[int, int]:
"""Get dimensions from the first child display that supports it."""
for d in self.displays:
if hasattr(d, "get_dimensions"):
return d.get_dimensions()
return (self.width, self.height)
def cleanup(self) -> None:
for d in self.displays:
d.cleanup()

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"""
Null/headless display backend.
"""
import json
import time
from pathlib import Path
from typing import Any
class NullDisplay:
"""Headless/null display - discards all output.
This display does nothing - useful for headless benchmarking
or when no display output is needed. Captures last buffer
for testing purposes. Supports frame recording for replay
and file export/import.
"""
width: int = 80
height: int = 24
_last_buffer: list[str] | None = None
def __init__(self):
self._last_buffer = None
self._is_recording = False
self._recorded_frames: list[dict[str, Any]] = []
self._frame_count = 0
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize display with dimensions.
Args:
width: Terminal width in characters
height: Terminal height in rows
reuse: Ignored for NullDisplay (no resources to reuse)
"""
self.width = width
self.height = height
self._last_buffer = None
def show(self, buffer: list[str], border: bool = False) -> None:
import sys
from sideline.display import get_monitor, render_border
fps = 0.0
frame_time = 0.0
monitor = get_monitor()
if monitor:
stats = monitor.get_stats()
avg_ms = stats.get("pipeline", {}).get("avg_ms", 0) if stats else 0
frame_count = stats.get("frame_count", 0) if stats else 0
if avg_ms and frame_count > 0:
fps = 1000.0 / avg_ms
frame_time = avg_ms
if border:
buffer = render_border(buffer, self.width, self.height, fps, frame_time)
self._last_buffer = buffer
if self._is_recording:
self._recorded_frames.append(
{
"frame_number": self._frame_count,
"buffer": buffer,
"width": self.width,
"height": self.height,
}
)
if self._frame_count <= 5 or self._frame_count % 10 == 0:
sys.stdout.write("\n" + "=" * 80 + "\n")
sys.stdout.write(
f"Frame {self._frame_count} (buffer height: {len(buffer)})\n"
)
sys.stdout.write("=" * 80 + "\n")
for i, line in enumerate(buffer[:30]):
sys.stdout.write(f"{i:2}: {line}\n")
if len(buffer) > 30:
sys.stdout.write(f"... ({len(buffer) - 30} more lines)\n")
sys.stdout.flush()
if monitor:
t0 = time.perf_counter()
chars_in = sum(len(line) for line in buffer)
elapsed_ms = (time.perf_counter() - t0) * 1000
monitor.record_effect("null_display", elapsed_ms, chars_in, chars_in)
self._frame_count += 1
def start_recording(self) -> None:
"""Begin recording frames."""
self._is_recording = True
self._recorded_frames = []
def stop_recording(self) -> None:
"""Stop recording frames."""
self._is_recording = False
def get_frames(self) -> list[list[str]]:
"""Get recorded frames as list of buffers.
Returns:
List of buffers, each buffer is a list of strings (lines)
"""
return [frame["buffer"] for frame in self._recorded_frames]
def get_recorded_data(self) -> list[dict[str, Any]]:
"""Get full recorded data including metadata.
Returns:
List of frame dicts with 'frame_number', 'buffer', 'width', 'height'
"""
return self._recorded_frames
def clear_recording(self) -> None:
"""Clear recorded frames."""
self._recorded_frames = []
def save_recording(self, filepath: str | Path) -> None:
"""Save recorded frames to a JSON file.
Args:
filepath: Path to save the recording
"""
path = Path(filepath)
data = {
"version": 1,
"display": "null",
"width": self.width,
"height": self.height,
"frame_count": len(self._recorded_frames),
"frames": self._recorded_frames,
}
path.write_text(json.dumps(data, indent=2))
def load_recording(self, filepath: str | Path) -> list[dict[str, Any]]:
"""Load recorded frames from a JSON file.
Args:
filepath: Path to load the recording from
Returns:
List of frame dicts
"""
path = Path(filepath)
data = json.loads(path.read_text())
self._recorded_frames = data.get("frames", [])
self.width = data.get("width", 80)
self.height = data.get("height", 24)
return self._recorded_frames
def replay_frames(self) -> list[list[str]]:
"""Get frames for replay.
Returns:
List of buffers for replay
"""
return self.get_frames()
def clear(self) -> None:
pass
def cleanup(self) -> None:
pass
def get_dimensions(self) -> tuple[int, int]:
"""Get current dimensions.
Returns:
(width, height) in character cells
"""
return (self.width, self.height)
def is_quit_requested(self) -> bool:
"""Check if quit was requested (optional protocol method)."""
return False
def clear_quit_request(self) -> None:
"""Clear quit request (optional protocol method)."""
pass

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"""
Pygame display backend - renders to a native application window.
"""
import time
from sideline.display.renderer import parse_ansi
class PygameDisplay:
"""Pygame display backend - renders to native window.
Supports reuse mode - when reuse=True, skips SDL initialization
and reuses the existing pygame window from a previous instance.
"""
width: int = 80
window_width: int = 800
window_height: int = 600
def __init__(
self,
cell_width: int = 10,
cell_height: int = 18,
window_width: int = 800,
window_height: int = 600,
target_fps: float = 30.0,
):
self.width = 80
self.height = 24
self.cell_width = cell_width
self.cell_height = cell_height
self.window_width = window_width
self.window_height = window_height
self.target_fps = target_fps
self._initialized = False
self._pygame = None
self._screen = None
self._font = None
self._resized = False
self._quit_requested = False
self._last_frame_time = 0.0
self._frame_period = 1.0 / target_fps if target_fps > 0 else 0
self._glyph_cache = {}
def _get_font_path(self) -> str | None:
"""Get font path for rendering."""
import os
import sys
from pathlib import Path
env_font = os.environ.get("MAINLINE_PYGAME_FONT")
if env_font and os.path.exists(env_font):
return env_font
def search_dir(base_path: str) -> str | None:
if not os.path.exists(base_path):
return None
if os.path.isfile(base_path):
return base_path
for font_file in Path(base_path).rglob("*"):
if font_file.suffix.lower() in (".ttf", ".otf", ".ttc"):
name = font_file.stem.lower()
if "geist" in name and ("nerd" in name or "mono" in name):
return str(font_file)
return None
search_dirs = []
if sys.platform == "darwin":
search_dirs.append(os.path.expanduser("~/Library/Fonts/"))
elif sys.platform == "win32":
search_dirs.append(
os.path.expanduser("~\\AppData\\Local\\Microsoft\\Windows\\Fonts\\")
)
else:
search_dirs.extend(
[
os.path.expanduser("~/.local/share/fonts/"),
os.path.expanduser("~/.fonts/"),
"/usr/share/fonts/",
]
)
for search_dir_path in search_dirs:
found = search_dir(search_dir_path)
if found:
return found
return None
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize display with dimensions.
Args:
width: Terminal width in characters
height: Terminal height in rows
reuse: If True, attach to existing pygame window instead of creating new
"""
self.width = width
self.height = height
try:
import pygame
except ImportError:
return
if reuse and PygameDisplay._pygame_initialized:
self._pygame = pygame
self._initialized = True
return
pygame.init()
pygame.display.set_caption("Mainline")
self._screen = pygame.display.set_mode(
(self.window_width, self.window_height),
pygame.RESIZABLE,
)
self._pygame = pygame
PygameDisplay._pygame_initialized = True
# Calculate character dimensions from actual window size
self.width = max(1, self.window_width // self.cell_width)
self.height = max(1, self.window_height // self.cell_height)
font_path = self._get_font_path()
if font_path:
try:
self._font = pygame.font.Font(font_path, self.cell_height - 2)
except Exception:
self._font = pygame.font.SysFont("monospace", self.cell_height - 2)
else:
self._font = pygame.font.SysFont("monospace", self.cell_height - 2)
# Check if font supports box-drawing characters; if not, try to find one
self._use_fallback_border = False
if self._font:
try:
# Test rendering some key box-drawing characters
test_chars = ["", "", "", "", "", ""]
for ch in test_chars:
surf = self._font.render(ch, True, (255, 255, 255))
# If surface is empty (width=0 or all black), font lacks glyph
if surf.get_width() == 0:
raise ValueError("Missing glyph")
except Exception:
# Font doesn't support box-drawing, will use line drawing fallback
self._use_fallback_border = True
self._initialized = True
def show(self, buffer: list[str], border: bool = False) -> None:
if not self._initialized or not self._pygame:
return
t0 = time.perf_counter()
for event in self._pygame.event.get():
if event.type == self._pygame.QUIT:
self._quit_requested = True
elif event.type == self._pygame.KEYDOWN:
if event.key in (self._pygame.K_ESCAPE, self._pygame.K_c):
if event.key == self._pygame.K_c and not (
event.mod & self._pygame.KMOD_LCTRL
or event.mod & self._pygame.KMOD_RCTRL
):
continue
self._quit_requested = True
elif event.type == self._pygame.VIDEORESIZE:
self.window_width = event.w
self.window_height = event.h
self.width = max(1, self.window_width // self.cell_width)
self.height = max(1, self.window_height // self.cell_height)
self._resized = True
# FPS limiting - skip frame if we're going too fast
if self._frame_period > 0:
now = time.perf_counter()
elapsed = now - self._last_frame_time
if elapsed < self._frame_period:
return # Skip this frame
self._last_frame_time = now
# Get metrics for border display
fps = 0.0
frame_time = 0.0
from sideline.display import get_monitor
monitor = get_monitor()
if monitor:
stats = monitor.get_stats()
avg_ms = stats.get("pipeline", {}).get("avg_ms", 0) if stats else 0
frame_count = stats.get("frame_count", 0) if stats else 0
if avg_ms and frame_count > 0:
fps = 1000.0 / avg_ms
frame_time = avg_ms
self._screen.fill((0, 0, 0))
# If border requested but font lacks box-drawing glyphs, use graphical fallback
if border and self._use_fallback_border:
self._draw_fallback_border(fps, frame_time)
# Adjust content area to fit inside border
content_offset_x = self.cell_width
content_offset_y = self.cell_height
self.window_width - 2 * self.cell_width
self.window_height - 2 * self.cell_height
else:
# Normal rendering (with or without text border)
content_offset_x = 0
content_offset_y = 0
if border:
from sideline.display import render_border
buffer = render_border(buffer, self.width, self.height, fps, frame_time)
blit_list = []
for row_idx, line in enumerate(buffer[: self.height]):
if row_idx >= self.height:
break
tokens = parse_ansi(line)
x_pos = content_offset_x
for text, fg, bg, _bold in tokens:
if not text:
continue
# Use None as key for no background
bg_key = bg if bg != (0, 0, 0) else None
cache_key = (text, fg, bg_key)
if cache_key not in self._glyph_cache:
# Render and cache
if bg_key is not None:
self._glyph_cache[cache_key] = self._font.render(
text, True, fg, bg_key
)
else:
self._glyph_cache[cache_key] = self._font.render(text, True, fg)
surface = self._glyph_cache[cache_key]
blit_list.append(
(surface, (x_pos, content_offset_y + row_idx * self.cell_height))
)
x_pos += self._font.size(text)[0]
self._screen.blits(blit_list)
# Draw fallback border using graphics if needed
if border and self._use_fallback_border:
self._draw_fallback_border(fps, frame_time)
self._pygame.display.flip()
elapsed_ms = (time.perf_counter() - t0) * 1000
if monitor:
chars_in = sum(len(line) for line in buffer)
monitor.record_effect("pygame_display", elapsed_ms, chars_in, chars_in)
def _draw_fallback_border(self, fps: float, frame_time: float) -> None:
"""Draw border using pygame graphics primitives instead of text."""
if not self._screen or not self._pygame:
return
# Colors
border_color = (0, 255, 0) # Green (like terminal border)
text_color = (255, 255, 255)
# Calculate dimensions
x1 = 0
y1 = 0
x2 = self.window_width - 1
y2 = self.window_height - 1
# Draw outer rectangle
self._pygame.draw.rect(
self._screen, border_color, (x1, y1, x2 - x1 + 1, y2 - y1 + 1), 1
)
# Draw top border with FPS
if fps > 0:
fps_text = f" FPS:{fps:.0f}"
else:
fps_text = ""
# We need to render this text with a fallback font that has basic ASCII
# Use system font which should have these characters
try:
font = self._font # May not have box chars but should have alphanumeric
text_surf = font.render(fps_text, True, text_color, (0, 0, 0))
text_rect = text_surf.get_rect()
# Position on top border, right-aligned
text_x = x2 - text_rect.width - 5
text_y = y1 + 2
self._screen.blit(text_surf, (text_x, text_y))
except Exception:
pass
# Draw bottom border with frame time
if frame_time > 0:
ft_text = f" {frame_time:.1f}ms"
try:
ft_surf = self._font.render(ft_text, True, text_color, (0, 0, 0))
ft_rect = ft_surf.get_rect()
ft_x = x2 - ft_rect.width - 5
ft_y = y2 - ft_rect.height - 2
self._screen.blit(ft_surf, (ft_x, ft_y))
except Exception:
pass
def clear(self) -> None:
if self._screen and self._pygame:
self._screen.fill((0, 0, 0))
self._pygame.display.flip()
def get_dimensions(self) -> tuple[int, int]:
"""Get current terminal dimensions based on window size.
Returns:
(width, height) in character cells
"""
# Query actual window size and recalculate character cells
if self._screen and self._pygame:
try:
w, h = self._screen.get_size()
if w != self.window_width or h != self.window_height:
self.window_width = w
self.window_height = h
self.width = max(1, w // self.cell_width)
self.height = max(1, h // self.cell_height)
except Exception:
pass
return self.width, self.height
def cleanup(self, quit_pygame: bool = True) -> None:
"""Cleanup display resources.
Args:
quit_pygame: If True, quit pygame entirely. Set to False when
reusing the display to avoid closing shared window.
"""
if quit_pygame and self._pygame:
self._pygame.quit()
PygameDisplay._pygame_initialized = False
@classmethod
def reset_state(cls) -> None:
"""Reset pygame state - useful for testing."""
cls._pygame_initialized = False
def is_quit_requested(self) -> bool:
"""Check if user requested quit (Ctrl+C, Ctrl+Q, or Escape).
Returns True if the user pressed Ctrl+C, Ctrl+Q, or Escape.
The main loop should check this and raise KeyboardInterrupt.
"""
return self._quit_requested
def clear_quit_request(self) -> bool:
"""Clear the quit request flag after handling.
Returns the previous quit request state.
"""
was_requested = self._quit_requested
self._quit_requested = False
return was_requested

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"""
Replay display backend - plays back recorded frames.
"""
from typing import Any
class ReplayDisplay:
"""Replay display - plays back recorded frames.
This display reads frames from a recording (list of frame data)
and yields them sequentially, useful for testing and demo purposes.
"""
width: int = 80
height: int = 24
def __init__(self):
self._frames: list[dict[str, Any]] = []
self._current_frame = 0
self._playback_index = 0
self._loop = False
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize display with dimensions.
Args:
width: Terminal width in characters
height: Terminal height in rows
reuse: Ignored for ReplayDisplay
"""
self.width = width
self.height = height
def set_frames(self, frames: list[dict[str, Any]]) -> None:
"""Set frames to replay.
Args:
frames: List of frame dicts with 'buffer', 'width', 'height'
"""
self._frames = frames
self._current_frame = 0
self._playback_index = 0
def set_loop(self, loop: bool) -> None:
"""Set loop playback mode.
Args:
loop: True to loop, False to stop at end
"""
self._loop = loop
def show(self, buffer: list[str], border: bool = False) -> None:
"""Display a frame (ignored in replay mode).
Args:
buffer: Buffer to display (ignored)
border: Border flag (ignored)
"""
pass
def get_next_frame(self) -> list[str] | None:
"""Get the next frame in the recording.
Returns:
Buffer list of strings, or None if playback is done
"""
if not self._frames:
return None
if self._playback_index >= len(self._frames):
if self._loop:
self._playback_index = 0
else:
return None
frame = self._frames[self._playback_index]
self._playback_index += 1
return frame.get("buffer")
def reset(self) -> None:
"""Reset playback to the beginning."""
self._playback_index = 0
def seek(self, index: int) -> None:
"""Seek to a specific frame.
Args:
index: Frame index to seek to
"""
if 0 <= index < len(self._frames):
self._playback_index = index
def is_finished(self) -> bool:
"""Check if playback is finished.
Returns:
True if at end of frames and not looping
"""
return not self._loop and self._playback_index >= len(self._frames)
def clear(self) -> None:
pass
def cleanup(self) -> None:
pass
def get_dimensions(self) -> tuple[int, int]:
"""Get current dimensions.
Returns:
(width, height) in character cells
"""
return (self.width, self.height)
def is_quit_requested(self) -> bool:
"""Check if quit was requested (optional protocol method)."""
return False
def clear_quit_request(self) -> None:
"""Clear quit request (optional protocol method)."""
pass

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"""
ANSI terminal display backend.
"""
import os
class TerminalDisplay:
"""ANSI terminal display backend.
Renders buffer to stdout using ANSI escape codes.
Supports reuse - when reuse=True, skips re-initializing terminal state.
Auto-detects terminal dimensions on init.
"""
width: int = 80
height: int = 24
_initialized: bool = False
def __init__(self, target_fps: float = 30.0):
self.target_fps = target_fps
self._frame_period = 1.0 / target_fps if target_fps > 0 else 0
self._last_frame_time = 0.0
self._cached_dimensions: tuple[int, int] | None = None
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize display with dimensions.
If width/height are not provided (0/None), auto-detects terminal size.
Otherwise uses provided dimensions or falls back to terminal size
if the provided dimensions exceed terminal capacity.
Args:
width: Desired terminal width (0 = auto-detect)
height: Desired terminal height (0 = auto-detect)
reuse: If True, skip terminal re-initialization
"""
from sideline.terminal import CURSOR_OFF
# Auto-detect terminal size (handle case where no terminal)
try:
term_size = os.get_terminal_size()
term_width = term_size.columns
term_height = term_size.lines
except OSError:
# No terminal available (e.g., in tests)
term_width = width if width > 0 else 80
term_height = height if height > 0 else 24
# Use provided dimensions if valid, otherwise use terminal size
if width > 0 and height > 0:
self.width = min(width, term_width)
self.height = min(height, term_height)
else:
self.width = term_width
self.height = term_height
if not reuse or not self._initialized:
print(CURSOR_OFF, end="", flush=True)
self._initialized = True
def get_dimensions(self) -> tuple[int, int]:
"""Get current terminal dimensions.
Returns cached dimensions to avoid querying terminal every frame,
which can cause inconsistent results. Dimensions are only refreshed
when they actually change.
Returns:
(width, height) in character cells
"""
try:
term_size = os.get_terminal_size()
new_dims = (term_size.columns, term_size.lines)
except OSError:
new_dims = (self.width, self.height)
# Only update cached dimensions if they actually changed
if self._cached_dimensions is None or self._cached_dimensions != new_dims:
self._cached_dimensions = new_dims
self.width = new_dims[0]
self.height = new_dims[1]
return self._cached_dimensions
def show(
self, buffer: list[str], border: bool = False, positioning: str = "mixed"
) -> None:
"""Display buffer with optional border and positioning mode.
Args:
buffer: List of lines to display
border: Whether to apply border
positioning: Positioning mode - "mixed" (default), "absolute", or "relative"
"""
import sys
from sideline.display import get_monitor, render_border
# Note: Frame rate limiting is handled by the caller (e.g., FrameTimer).
# This display renders every frame it receives.
# Get metrics for border display
fps = 0.0
frame_time = 0.0
monitor = get_monitor()
if monitor:
stats = monitor.get_stats()
avg_ms = stats.get("pipeline", {}).get("avg_ms", 0) if stats else 0
frame_count = stats.get("frame_count", 0) if stats else 0
if avg_ms and frame_count > 0:
fps = 1000.0 / avg_ms
frame_time = avg_ms
# Apply border if requested
from sideline.display import BorderMode
if border and border != BorderMode.OFF:
buffer = render_border(buffer, self.width, self.height, fps, frame_time)
# Apply positioning based on mode
if positioning == "absolute":
# All lines should have cursor positioning codes
# Join with newlines (cursor codes already in buffer)
output = "\033[H\033[J" + "\n".join(buffer)
elif positioning == "relative":
# Remove cursor positioning codes (except colors) and join with newlines
import re
cleaned_buffer = []
for line in buffer:
# Remove cursor positioning codes but keep color codes
# Pattern: \033[row;colH or \033[row;col;...H
cleaned = re.sub(r"\033\[[0-9;]*H", "", line)
cleaned_buffer.append(cleaned)
output = "\033[H\033[J" + "\n".join(cleaned_buffer)
else: # mixed (default)
# Current behavior: join with newlines
# Effects that need absolute positioning have their own cursor codes
output = "\033[H\033[J" + "\n".join(buffer)
sys.stdout.buffer.write(output.encode())
sys.stdout.flush()
def clear(self) -> None:
from sideline.terminal import CLR
print(CLR, end="", flush=True)
def cleanup(self) -> None:
from sideline.terminal import CURSOR_ON
print(CURSOR_ON, end="", flush=True)
def is_quit_requested(self) -> bool:
"""Check if quit was requested (optional protocol method)."""
return False
def clear_quit_request(self) -> None:
"""Clear quit request (optional protocol method)."""
pass

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"""
WebSocket display backend - broadcasts frame buffer to connected web clients.
Supports streaming protocols:
- Full frame (JSON) - default for compatibility
- Binary streaming - efficient binary protocol
- Diff streaming - only sends changed lines
TODO: Transform to a true streaming backend with:
- Proper WebSocket message streaming (currently sends full buffer each frame)
- Connection pooling and backpressure handling
- Binary protocol for efficiency (instead of JSON)
- Client management with proper async handling
- Mark for deprecation if replaced by a new streaming implementation
Current implementation: Simple broadcast of text frames to all connected clients.
"""
import asyncio
import base64
import json
import threading
import time
from enum import IntFlag
from sideline.display.streaming import (
MessageType,
compress_frame,
compute_diff,
encode_binary_message,
encode_diff_message,
)
class StreamingMode(IntFlag):
"""Streaming modes for WebSocket display."""
JSON = 0x01 # Full JSON frames (default, compatible)
BINARY = 0x02 # Binary compression
DIFF = 0x04 # Differential updates
try:
import websockets
except ImportError:
websockets = None
def get_monitor():
"""Get the performance monitor."""
try:
from sideline.effects.performance import get_monitor as _get_monitor
return _get_monitor()
except Exception:
return None
class WebSocketDisplay:
"""WebSocket display backend - broadcasts to HTML Canvas clients."""
width: int = 80
height: int = 24
def __init__(
self,
host: str = "0.0.0.0",
port: int = 8765,
http_port: int = 8766,
streaming_mode: StreamingMode = StreamingMode.JSON,
):
self.host = host
self.port = port
self.http_port = http_port
self.width = 80
self.height = 24
self._clients: set = set()
self._server_running = False
self._http_running = False
self._server_thread: threading.Thread | None = None
self._http_thread: threading.Thread | None = None
self._available = True
self._max_clients = 10
self._client_connected_callback = None
self._client_disconnected_callback = None
self._command_callback = None
self._controller = None # Reference to UI panel or pipeline controller
self._frame_delay = 0.0
self._httpd = None # HTTP server instance
# Streaming configuration
self._streaming_mode = streaming_mode
self._last_buffer: list[str] = []
self._client_capabilities: dict = {} # Track client capabilities
try:
import websockets as _ws
self._available = _ws is not None
except ImportError:
self._available = False
def is_available(self) -> bool:
"""Check if WebSocket support is available."""
return self._available
def init(self, width: int, height: int, reuse: bool = False) -> None:
"""Initialize display with dimensions and start server.
Args:
width: Terminal width in characters
height: Terminal height in rows
reuse: If True, skip starting servers (assume already running)
"""
self.width = width
self.height = height
if not reuse or not self._server_running:
self.start_server()
self.start_http_server()
def show(self, buffer: list[str], border: bool = False) -> None:
"""Broadcast buffer to all connected clients using streaming protocol."""
t0 = time.perf_counter()
# Get metrics for border display
fps = 0.0
frame_time = 0.0
monitor = get_monitor()
if monitor:
stats = monitor.get_stats()
avg_ms = stats.get("pipeline", {}).get("avg_ms", 0) if stats else 0
frame_count = stats.get("frame_count", 0) if stats else 0
if avg_ms and frame_count > 0:
fps = 1000.0 / avg_ms
frame_time = avg_ms
# Apply border if requested
if border:
from sideline.display import render_border
buffer = render_border(buffer, self.width, self.height, fps, frame_time)
if not self._clients:
self._last_buffer = buffer
return
# Send to each client based on their capabilities
disconnected = set()
for client in list(self._clients):
try:
client_id = id(client)
client_mode = self._client_capabilities.get(
client_id, StreamingMode.JSON
)
if client_mode & StreamingMode.DIFF:
self._send_diff_frame(client, buffer)
elif client_mode & StreamingMode.BINARY:
self._send_binary_frame(client, buffer)
else:
self._send_json_frame(client, buffer)
except Exception:
disconnected.add(client)
for client in disconnected:
self._clients.discard(client)
if self._client_disconnected_callback:
self._client_disconnected_callback(client)
self._last_buffer = buffer
elapsed_ms = (time.perf_counter() - t0) * 1000
if monitor:
chars_in = sum(len(line) for line in buffer)
monitor.record_effect("websocket_display", elapsed_ms, chars_in, chars_in)
def _send_json_frame(self, client, buffer: list[str]) -> None:
"""Send frame as JSON."""
frame_data = {
"type": "frame",
"width": self.width,
"height": self.height,
"lines": buffer,
}
message = json.dumps(frame_data)
asyncio.run(client.send(message))
def _send_binary_frame(self, client, buffer: list[str]) -> None:
"""Send frame as compressed binary."""
compressed = compress_frame(buffer)
message = encode_binary_message(
MessageType.FULL_FRAME, self.width, self.height, compressed
)
encoded = base64.b64encode(message).decode("utf-8")
asyncio.run(client.send(encoded))
def _send_diff_frame(self, client, buffer: list[str]) -> None:
"""Send frame as diff."""
diff = compute_diff(self._last_buffer, buffer)
if not diff.changed_lines:
return
diff_payload = encode_diff_message(diff)
message = encode_binary_message(
MessageType.DIFF_FRAME, self.width, self.height, diff_payload
)
encoded = base64.b64encode(message).decode("utf-8")
asyncio.run(client.send(encoded))
def set_streaming_mode(self, mode: StreamingMode) -> None:
"""Set the default streaming mode for new clients."""
self._streaming_mode = mode
def get_streaming_mode(self) -> StreamingMode:
"""Get the current streaming mode."""
return self._streaming_mode
def clear(self) -> None:
"""Broadcast clear command to all clients."""
if self._clients:
clear_data = {"type": "clear"}
message = json.dumps(clear_data)
for client in list(self._clients):
try:
asyncio.run(client.send(message))
except Exception:
pass
def cleanup(self) -> None:
"""Stop the servers."""
self.stop_server()
self.stop_http_server()
async def _websocket_handler(self, websocket):
"""Handle WebSocket connections."""
if len(self._clients) >= self._max_clients:
await websocket.close()
return
self._clients.add(websocket)
if self._client_connected_callback:
self._client_connected_callback(websocket)
try:
async for message in websocket:
try:
data = json.loads(message)
msg_type = data.get("type")
if msg_type == "resize":
self.width = data.get("width", 80)
self.height = data.get("height", 24)
elif msg_type == "command" and self._command_callback:
# Forward commands to the pipeline controller
command = data.get("command", {})
self._command_callback(command)
elif msg_type == "state_request":
# Send current state snapshot
state = self._get_state_snapshot()
if state:
response = {"type": "state", "state": state}
await websocket.send(json.dumps(response))
except json.JSONDecodeError:
pass
except Exception:
pass
finally:
self._clients.discard(websocket)
if self._client_disconnected_callback:
self._client_disconnected_callback(websocket)
async def _run_websocket_server(self):
"""Run the WebSocket server."""
if not websockets:
return
async with websockets.serve(self._websocket_handler, self.host, self.port):
while self._server_running:
await asyncio.sleep(0.1)
async def _run_http_server(self):
"""Run simple HTTP server for the client."""
import os
from http.server import HTTPServer, SimpleHTTPRequestHandler
# Find the project root by locating 'engine' directory in the path
websocket_file = os.path.abspath(__file__)
parts = websocket_file.split(os.sep)
if "engine" in parts:
engine_idx = parts.index("engine")
project_root = os.sep.join(parts[:engine_idx])
client_dir = os.path.join(project_root, "client")
else:
# Fallback: go up 4 levels from websocket.py
# websocket.py: .../engine/display/backends/websocket.py
# We need: .../client
client_dir = os.path.join(
os.path.dirname(
os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
),
"client",
)
class Handler(SimpleHTTPRequestHandler):
def __init__(self, *args, **kwargs):
super().__init__(*args, directory=client_dir, **kwargs)
def log_message(self, format, *args):
pass
httpd = HTTPServer((self.host, self.http_port), Handler)
# Store reference for shutdown
self._httpd = httpd
# Serve requests continuously
httpd.serve_forever()
def _run_async(self, coro):
"""Run coroutine in background."""
try:
asyncio.run(coro)
except Exception as e:
print(f"WebSocket async error: {e}")
def start_server(self):
"""Start the WebSocket server in a background thread."""
if not self._available:
return
if self._server_thread is not None:
return
self._server_running = True
self._server_thread = threading.Thread(
target=self._run_async, args=(self._run_websocket_server(),), daemon=True
)
self._server_thread.start()
def stop_server(self):
"""Stop the WebSocket server."""
self._server_running = False
self._server_thread = None
def start_http_server(self):
"""Start the HTTP server in a background thread."""
if not self._available:
return
if self._http_thread is not None:
return
self._http_running = True
self._http_running = True
self._http_thread = threading.Thread(
target=self._run_async, args=(self._run_http_server(),), daemon=True
)
self._http_thread.start()
def stop_http_server(self):
"""Stop the HTTP server."""
self._http_running = False
if hasattr(self, "_httpd") and self._httpd:
self._httpd.shutdown()
self._http_thread = None
def client_count(self) -> int:
"""Return number of connected clients."""
return len(self._clients)
def get_ws_port(self) -> int:
"""Return WebSocket port."""
return self.port
def get_http_port(self) -> int:
"""Return HTTP port."""
return self.http_port
def set_frame_delay(self, delay: float) -> None:
"""Set delay between frames in seconds."""
self._frame_delay = delay
def get_frame_delay(self) -> float:
"""Get delay between frames."""
return self._frame_delay
def set_client_connected_callback(self, callback) -> None:
"""Set callback for client connections."""
self._client_connected_callback = callback
def set_client_disconnected_callback(self, callback) -> None:
"""Set callback for client disconnections."""
self._client_disconnected_callback = callback
def set_command_callback(self, callback) -> None:
"""Set callback for incoming command messages from clients."""
self._command_callback = callback
def set_controller(self, controller) -> None:
"""Set controller (UI panel or pipeline) for state queries and command execution."""
self._controller = controller
def broadcast_state(self, state: dict) -> None:
"""Broadcast state update to all connected clients.
Args:
state: Dictionary containing state data to send to clients
"""
if not self._clients:
return
message = json.dumps({"type": "state", "state": state})
disconnected = set()
for client in list(self._clients):
try:
asyncio.run(client.send(message))
except Exception:
disconnected.add(client)
for client in disconnected:
self._clients.discard(client)
if self._client_disconnected_callback:
self._client_disconnected_callback(client)
def _get_state_snapshot(self) -> dict | None:
"""Get current state snapshot from controller."""
if not self._controller:
return None
try:
# Expect controller to have methods we need
state = {}
# Get stages info if UIPanel
if hasattr(self._controller, "stages"):
state["stages"] = {
name: {
"enabled": ctrl.enabled,
"params": ctrl.params,
"selected": ctrl.selected,
}
for name, ctrl in self._controller.stages.items()
}
# Get current preset
if hasattr(self._controller, "_current_preset"):
state["preset"] = self._controller._current_preset
if hasattr(self._controller, "_presets"):
state["presets"] = self._controller._presets
# Get selected stage
if hasattr(self._controller, "selected_stage"):
state["selected_stage"] = self._controller.selected_stage
return state
except Exception:
return None
def get_dimensions(self) -> tuple[int, int]:
"""Get current dimensions.
Returns:
(width, height) in character cells
"""
return (self.width, self.height)

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"""
Shared display rendering utilities.
Provides common functionality for displays that render text to images
(Pygame, Sixel, Kitty displays).
"""
from typing import Any
ANSI_COLORS = {
0: (0, 0, 0),
1: (205, 49, 49),
2: (13, 188, 121),
3: (229, 229, 16),
4: (36, 114, 200),
5: (188, 63, 188),
6: (17, 168, 205),
7: (229, 229, 229),
8: (102, 102, 102),
9: (241, 76, 76),
10: (35, 209, 139),
11: (245, 245, 67),
12: (59, 142, 234),
13: (214, 112, 214),
14: (41, 184, 219),
15: (255, 255, 255),
}
def parse_ansi(
text: str,
) -> list[tuple[str, tuple[int, int, int], tuple[int, int, int], bool]]:
"""Parse ANSI escape sequences into text tokens with colors.
Args:
text: Text containing ANSI escape sequences
Returns:
List of (text, fg_rgb, bg_rgb, bold) tuples
"""
tokens = []
current_text = ""
fg = (204, 204, 204)
bg = (0, 0, 0)
bold = False
i = 0
ANSI_COLORS_4BIT = {
0: (0, 0, 0),
1: (205, 49, 49),
2: (13, 188, 121),
3: (229, 229, 16),
4: (36, 114, 200),
5: (188, 63, 188),
6: (17, 168, 205),
7: (229, 229, 229),
8: (102, 102, 102),
9: (241, 76, 76),
10: (35, 209, 139),
11: (245, 245, 67),
12: (59, 142, 234),
13: (214, 112, 214),
14: (41, 184, 219),
15: (255, 255, 255),
}
while i < len(text):
char = text[i]
if char == "\x1b" and i + 1 < len(text) and text[i + 1] == "[":
if current_text:
tokens.append((current_text, fg, bg, bold))
current_text = ""
i += 2
code = ""
while i < len(text):
c = text[i]
if c.isalpha():
break
code += c
i += 1
if code:
codes = code.split(";")
for c in codes:
if c == "0":
fg = (204, 204, 204)
bg = (0, 0, 0)
bold = False
elif c == "1":
bold = True
elif c == "22":
bold = False
elif c == "39":
fg = (204, 204, 204)
elif c == "49":
bg = (0, 0, 0)
elif c.isdigit():
color_idx = int(c)
if color_idx in ANSI_COLORS_4BIT:
fg = ANSI_COLORS_4BIT[color_idx]
elif 30 <= color_idx <= 37:
fg = ANSI_COLORS_4BIT.get(color_idx - 30, fg)
elif 40 <= color_idx <= 47:
bg = ANSI_COLORS_4BIT.get(color_idx - 40, bg)
elif 90 <= color_idx <= 97:
fg = ANSI_COLORS_4BIT.get(color_idx - 90 + 8, fg)
elif 100 <= color_idx <= 107:
bg = ANSI_COLORS_4BIT.get(color_idx - 100 + 8, bg)
elif c.startswith("38;5;"):
idx = int(c.split(";")[-1])
if idx < 256:
if idx < 16:
fg = ANSI_COLORS_4BIT.get(idx, fg)
elif idx < 232:
c_idx = idx - 16
fg = (
(c_idx >> 4) * 51,
((c_idx >> 2) & 7) * 51,
(c_idx & 3) * 85,
)
else:
gray = (idx - 232) * 10 + 8
fg = (gray, gray, gray)
elif c.startswith("48;5;"):
idx = int(c.split(";")[-1])
if idx < 256:
if idx < 16:
bg = ANSI_COLORS_4BIT.get(idx, bg)
elif idx < 232:
c_idx = idx - 16
bg = (
(c_idx >> 4) * 51,
((c_idx >> 2) & 7) * 51,
(c_idx & 3) * 85,
)
else:
gray = (idx - 232) * 10 + 8
bg = (gray, gray, gray)
i += 1
else:
current_text += char
i += 1
if current_text:
tokens.append((current_text, fg, bg, bold))
return tokens if tokens else [("", fg, bg, bold)]
def get_default_font_path() -> str | None:
"""Get the path to a default monospace font."""
import os
import sys
from pathlib import Path
def search_dir(base_path: str) -> str | None:
if not os.path.exists(base_path):
return None
if os.path.isfile(base_path):
return base_path
for font_file in Path(base_path).rglob("*"):
if font_file.suffix.lower() in (".ttf", ".otf", ".ttc"):
name = font_file.stem.lower()
if "geist" in name and ("nerd" in name or "mono" in name):
return str(font_file)
if "mono" in name or "courier" in name or "terminal" in name:
return str(font_file)
return None
search_dirs = []
if sys.platform == "darwin":
search_dirs.extend(
[
os.path.expanduser("~/Library/Fonts/"),
"/System/Library/Fonts/",
]
)
elif sys.platform == "win32":
search_dirs.extend(
[
os.path.expanduser("~\\AppData\\Local\\Microsoft\\Windows\\Fonts\\"),
"C:\\Windows\\Fonts\\",
]
)
else:
search_dirs.extend(
[
os.path.expanduser("~/.local/share/fonts/"),
os.path.expanduser("~/.fonts/"),
"/usr/share/fonts/",
]
)
for search_dir_path in search_dirs:
found = search_dir(search_dir_path)
if found:
return found
if sys.platform != "win32":
try:
import subprocess
for pattern in ["monospace", "DejaVuSansMono", "LiberationMono"]:
result = subprocess.run(
["fc-match", "-f", "%{file}", pattern],
capture_output=True,
text=True,
timeout=5,
)
if result.returncode == 0 and result.stdout.strip():
font_file = result.stdout.strip()
if os.path.exists(font_file):
return font_file
except Exception:
pass
return None
def render_to_pil(
buffer: list[str],
width: int,
height: int,
cell_width: int = 10,
cell_height: int = 18,
font_path: str | None = None,
) -> Any:
"""Render buffer to a PIL Image.
Args:
buffer: List of text lines to render
width: Terminal width in characters
height: Terminal height in rows
cell_width: Width of each character cell in pixels
cell_height: Height of each character cell in pixels
font_path: Path to TTF/OTF font file (optional)
Returns:
PIL Image object
"""
from PIL import Image, ImageDraw, ImageFont
img_width = width * cell_width
img_height = height * cell_height
img = Image.new("RGBA", (img_width, img_height), (0, 0, 0, 255))
draw = ImageDraw.Draw(img)
if font_path:
try:
font = ImageFont.truetype(font_path, cell_height - 2)
except Exception:
font = ImageFont.load_default()
else:
font = ImageFont.load_default()
for row_idx, line in enumerate(buffer[:height]):
if row_idx >= height:
break
tokens = parse_ansi(line)
x_pos = 0
y_pos = row_idx * cell_height
for text, fg, bg, _bold in tokens:
if not text:
continue
if bg != (0, 0, 0):
bbox = draw.textbbox((x_pos, y_pos), text, font=font)
draw.rectangle(bbox, fill=(*bg, 255))
draw.text((x_pos, y_pos), text, fill=(*fg, 255), font=font)
if font:
x_pos += draw.textlength(text, font=font)
return img

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"""
Streaming protocol utilities for efficient frame transmission.
Provides:
- Frame differencing: Only send changed lines
- Run-length encoding: Compress repeated lines
- Binary encoding: Compact message format
"""
import json
import zlib
from dataclasses import dataclass
from enum import IntEnum
class MessageType(IntEnum):
"""Message types for streaming protocol."""
FULL_FRAME = 1
DIFF_FRAME = 2
STATE = 3
CLEAR = 4
PING = 5
PONG = 6
@dataclass
class FrameDiff:
"""Represents a diff between two frames."""
width: int
height: int
changed_lines: list[tuple[int, str]] # (line_index, content)
def compute_diff(old_buffer: list[str], new_buffer: list[str]) -> FrameDiff:
"""Compute differences between old and new buffer.
Args:
old_buffer: Previous frame buffer
new_buffer: Current frame buffer
Returns:
FrameDiff with only changed lines
"""
height = len(new_buffer)
changed_lines = []
for i, line in enumerate(new_buffer):
if i >= len(old_buffer) or line != old_buffer[i]:
changed_lines.append((i, line))
return FrameDiff(
width=len(new_buffer[0]) if new_buffer else 0,
height=height,
changed_lines=changed_lines,
)
def encode_rle(lines: list[tuple[int, str]]) -> list[tuple[int, str, int]]:
"""Run-length encode consecutive identical lines.
Args:
lines: List of (index, content) tuples (must be sorted by index)
Returns:
List of (start_index, content, run_length) tuples
"""
if not lines:
return []
encoded = []
start_idx = lines[0][0]
current_line = lines[0][1]
current_rle = 1
for idx, line in lines[1:]:
if line == current_line:
current_rle += 1
else:
encoded.append((start_idx, current_line, current_rle))
start_idx = idx
current_line = line
current_rle = 1
encoded.append((start_idx, current_line, current_rle))
return encoded
def decode_rle(encoded: list[tuple[int, str, int]]) -> list[tuple[int, str]]:
"""Decode run-length encoded lines.
Args:
encoded: List of (start_index, content, run_length) tuples
Returns:
List of (index, content) tuples
"""
result = []
for start_idx, line, rle in encoded:
for i in range(rle):
result.append((start_idx + i, line))
return result
def compress_frame(buffer: list[str], level: int = 6) -> bytes:
"""Compress a frame buffer using zlib.
Args:
buffer: Frame buffer (list of lines)
level: Compression level (0-9)
Returns:
Compressed bytes
"""
content = "\n".join(buffer)
return zlib.compress(content.encode("utf-8"), level)
def decompress_frame(data: bytes, height: int) -> list[str]:
"""Decompress a frame buffer.
Args:
data: Compressed bytes
height: Number of lines in original buffer
Returns:
Frame buffer (list of lines)
"""
content = zlib.decompress(data).decode("utf-8")
lines = content.split("\n")
if len(lines) > height:
lines = lines[:height]
while len(lines) < height:
lines.append("")
return lines
def encode_binary_message(
msg_type: MessageType, width: int, height: int, payload: bytes
) -> bytes:
"""Encode a binary message.
Message format:
- 1 byte: message type
- 2 bytes: width (uint16)
- 2 bytes: height (uint16)
- 4 bytes: payload length (uint32)
- N bytes: payload
Args:
msg_type: Message type
width: Frame width
height: Frame height
payload: Message payload
Returns:
Encoded binary message
"""
import struct
header = struct.pack("!BHHI", msg_type.value, width, height, len(payload))
return header + payload
def decode_binary_message(data: bytes) -> tuple[MessageType, int, int, bytes]:
"""Decode a binary message.
Args:
data: Binary message data
Returns:
Tuple of (msg_type, width, height, payload)
"""
import struct
msg_type_val, width, height, payload_len = struct.unpack("!BHHI", data[:9])
payload = data[9 : 9 + payload_len]
return MessageType(msg_type_val), width, height, payload
def encode_diff_message(diff: FrameDiff, use_rle: bool = True) -> bytes:
"""Encode a diff message for transmission.
Args:
diff: Frame diff
use_rle: Whether to use run-length encoding
Returns:
Encoded diff payload
"""
if use_rle:
encoded_lines = encode_rle(diff.changed_lines)
data = [[idx, line, rle] for idx, line, rle in encoded_lines]
else:
data = [[idx, line] for idx, line in diff.changed_lines]
payload = json.dumps(data).encode("utf-8")
return payload
def decode_diff_message(payload: bytes, use_rle: bool = True) -> list[tuple[int, str]]:
"""Decode a diff message.
Args:
payload: Encoded diff payload
use_rle: Whether run-length encoding was used
Returns:
List of (line_index, content) tuples
"""
data = json.loads(payload.decode("utf-8"))
if use_rle:
return decode_rle([(idx, line, rle) for idx, line, rle in data])
else:
return [(idx, line) for idx, line in data]
def should_use_diff(
old_buffer: list[str], new_buffer: list[str], threshold: float = 0.3
) -> bool:
"""Determine if diff or full frame is more efficient.
Args:
old_buffer: Previous frame
new_buffer: Current frame
threshold: Max changed ratio to use diff (0.0-1.0)
Returns:
True if diff is more efficient
"""
if not old_buffer or not new_buffer:
return False
diff = compute_diff(old_buffer, new_buffer)
total_lines = len(new_buffer)
changed_ratio = len(diff.changed_lines) / total_lines if total_lines > 0 else 1.0
return changed_ratio <= threshold
def apply_diff(old_buffer: list[str], diff: FrameDiff) -> list[str]:
"""Apply a diff to an old buffer to get the new buffer.
Args:
old_buffer: Previous frame buffer
diff: Frame diff to apply
Returns:
New frame buffer
"""
new_buffer = list(old_buffer)
for line_idx, content in diff.changed_lines:
if line_idx < len(new_buffer):
new_buffer[line_idx] = content
else:
while len(new_buffer) < line_idx:
new_buffer.append("")
new_buffer.append(content)
while len(new_buffer) < diff.height:
new_buffer.append("")
return new_buffer[: diff.height]

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from sideline.effects.chain import EffectChain
from sideline.effects.performance import PerformanceMonitor, get_monitor, set_monitor
from sideline.effects.registry import EffectRegistry, get_registry, set_registry
from sideline.effects.types import (
EffectConfig,
EffectContext,
Effect,
EffectPlugin, # Backward compatibility alias
create_effect_context,
)
# Note: Legacy effects and controller are Mainline-specific and moved to engine/effects/
__all__ = [
"EffectChain",
"EffectRegistry",
"EffectConfig",
"EffectContext",
"Effect", # Primary class name
"EffectPlugin", # Backward compatibility alias
"create_effect_context",
"get_registry",
"set_registry",
"get_monitor",
"set_monitor",
"PerformanceMonitor",
]

87
sideline/effects/chain.py Normal file
View File

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import time
from sideline.effects.performance import PerformanceMonitor, get_monitor
from sideline.effects.registry import EffectRegistry
from sideline.effects.types import EffectContext, PartialUpdate
class EffectChain:
def __init__(
self, registry: EffectRegistry, monitor: PerformanceMonitor | None = None
):
self._registry = registry
self._order: list[str] = []
self._monitor = monitor
def _get_monitor(self) -> PerformanceMonitor:
if self._monitor is not None:
return self._monitor
return get_monitor()
def set_order(self, names: list[str]) -> None:
self._order = list(names)
def get_order(self) -> list[str]:
return self._order.copy()
def add_effect(self, name: str, position: int | None = None) -> bool:
if name not in self._registry.list_all():
return False
if position is None:
self._order.append(name)
else:
self._order.insert(position, name)
return True
def remove_effect(self, name: str) -> bool:
if name in self._order:
self._order.remove(name)
return True
return False
def reorder(self, new_order: list[str]) -> bool:
all_plugins = set(self._registry.list_all().keys())
if not all(name in all_plugins for name in new_order):
return False
self._order = list(new_order)
return True
def process(self, buf: list[str], ctx: EffectContext) -> list[str]:
monitor = self._get_monitor()
frame_number = ctx.frame_number
monitor.start_frame(frame_number)
# Get dirty regions from canvas via context (set by CanvasStage)
dirty_rows = ctx.get_state("canvas.dirty_rows")
# Create PartialUpdate for effects that support it
full_buffer = dirty_rows is None or len(dirty_rows) == 0
partial = PartialUpdate(
rows=None,
cols=None,
dirty=dirty_rows,
full_buffer=full_buffer,
)
frame_start = time.perf_counter()
result = list(buf)
for name in self._order:
plugin = self._registry.get(name)
if plugin and plugin.config.enabled:
chars_in = sum(len(line) for line in result)
effect_start = time.perf_counter()
try:
# Use process_partial if supported, otherwise fall back to process
if getattr(plugin, "supports_partial_updates", False):
result = plugin.process_partial(result, ctx, partial)
else:
result = plugin.process(result, ctx)
except Exception:
plugin.config.enabled = False
elapsed = time.perf_counter() - effect_start
chars_out = sum(len(line) for line in result)
monitor.record_effect(name, elapsed * 1000, chars_in, chars_out)
total_elapsed = time.perf_counter() - frame_start
monitor.end_frame(frame_number, total_elapsed * 1000)
return result

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from collections import deque
from dataclasses import dataclass
@dataclass
class EffectTiming:
name: str
duration_ms: float
buffer_chars_in: int
buffer_chars_out: int
@dataclass
class FrameTiming:
frame_number: int
total_ms: float
effects: list[EffectTiming]
class PerformanceMonitor:
"""Collects and stores performance metrics for effect pipeline."""
def __init__(self, max_frames: int = 60):
self._max_frames = max_frames
self._frames: deque[FrameTiming] = deque(maxlen=max_frames)
self._current_frame: list[EffectTiming] = []
def start_frame(self, frame_number: int) -> None:
self._current_frame = []
def record_effect(
self, name: str, duration_ms: float, chars_in: int, chars_out: int
) -> None:
self._current_frame.append(
EffectTiming(
name=name,
duration_ms=duration_ms,
buffer_chars_in=chars_in,
buffer_chars_out=chars_out,
)
)
def end_frame(self, frame_number: int, total_ms: float) -> None:
self._frames.append(
FrameTiming(
frame_number=frame_number,
total_ms=total_ms,
effects=self._current_frame,
)
)
def get_stats(self) -> dict:
if not self._frames:
return {"error": "No timing data available"}
total_times = [f.total_ms for f in self._frames]
avg_total = sum(total_times) / len(total_times)
min_total = min(total_times)
max_total = max(total_times)
effect_stats: dict[str, dict] = {}
for frame in self._frames:
for effect in frame.effects:
if effect.name not in effect_stats:
effect_stats[effect.name] = {"times": [], "total_chars": 0}
effect_stats[effect.name]["times"].append(effect.duration_ms)
effect_stats[effect.name]["total_chars"] += effect.buffer_chars_out
for name, stats in effect_stats.items():
times = stats["times"]
stats["avg_ms"] = sum(times) / len(times)
stats["min_ms"] = min(times)
stats["max_ms"] = max(times)
del stats["times"]
return {
"frame_count": len(self._frames),
"pipeline": {
"avg_ms": avg_total,
"min_ms": min_total,
"max_ms": max_total,
},
"effects": effect_stats,
}
def reset(self) -> None:
self._frames.clear()
self._current_frame = []
_monitor: PerformanceMonitor | None = None
def get_monitor() -> PerformanceMonitor:
global _monitor
if _monitor is None:
_monitor = PerformanceMonitor()
return _monitor
def set_monitor(monitor: PerformanceMonitor) -> None:
global _monitor
_monitor = monitor

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from sideline.effects.types import EffectConfig, EffectPlugin
class EffectRegistry:
def __init__(self):
self._plugins: dict[str, EffectPlugin] = {}
self._discovered: bool = False
def register(self, plugin: EffectPlugin) -> None:
self._plugins[plugin.name] = plugin
def get(self, name: str) -> EffectPlugin | None:
return self._plugins.get(name)
def list_all(self) -> dict[str, EffectPlugin]:
return self._plugins.copy()
def list_enabled(self) -> list[EffectPlugin]:
return [p for p in self._plugins.values() if p.config.enabled]
def enable(self, name: str) -> bool:
plugin = self._plugins.get(name)
if plugin:
plugin.config.enabled = True
return True
return False
def disable(self, name: str) -> bool:
plugin = self._plugins.get(name)
if plugin:
plugin.config.enabled = False
return True
return False
def configure(self, name: str, config: EffectConfig) -> bool:
plugin = self._plugins.get(name)
if plugin:
plugin.configure(config)
return True
return False
def is_enabled(self, name: str) -> bool:
plugin = self._plugins.get(name)
return plugin.config.enabled if plugin else False
_registry: EffectRegistry | None = None
def get_registry() -> EffectRegistry:
global _registry
if _registry is None:
_registry = EffectRegistry()
return _registry
def set_registry(registry: EffectRegistry) -> None:
global _registry
_registry = registry

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"""
Visual effects type definitions and base classes.
EffectPlugin Architecture:
- Uses ABC (Abstract Base Class) for interface enforcement
- Runtime discovery via directory scanning (effects_plugins/)
- Configuration via EffectConfig dataclass
- Context passed through EffectContext dataclass
Plugin System Research (see AGENTS.md for references):
- VST: Standardized audio interfaces, chaining, presets (FXP/FXB)
- Python Entry Points: Namespace packages, importlib.metadata discovery
- Shadertoy: Shader-based with uniforms as context
Current gaps vs industry patterns:
- No preset save/load system
- No external plugin distribution via entry points
- No plugin metadata (version, author, description)
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Any
@dataclass
class PartialUpdate:
"""Represents a partial buffer update for optimized rendering.
Instead of processing the full buffer every frame, effects that support
partial updates can process only changed regions.
Attributes:
rows: Row indices that changed (None = all rows)
cols: Column range that changed (None = full width)
dirty: Set of dirty row indices
"""
rows: tuple[int, int] | None = None # (start, end) inclusive
cols: tuple[int, int] | None = None # (start, end) inclusive
dirty: set[int] | None = None # Set of dirty row indices
full_buffer: bool = True # If True, process entire buffer
@dataclass
class EffectContext:
"""Context passed to effect plugins during processing.
Contains terminal dimensions, camera state, frame info, and real-time sensor values.
"""
terminal_width: int
terminal_height: int
scroll_cam: int
ticker_height: int
camera_x: int = 0
mic_excess: float = 0.0
grad_offset: float = 0.0
frame_number: int = 0
has_message: bool = False
items: list = field(default_factory=list)
_state: dict[str, Any] = field(default_factory=dict, repr=False)
def compute_entropy(self, effect_name: str, data: Any) -> float:
"""Compute entropy score for an effect based on its output.
Args:
effect_name: Name of the effect
data: Processed buffer or effect-specific data
Returns:
Entropy score 0.0-1.0 representing visual chaos
"""
# Default implementation: use effect name as seed for deterministic randomness
# Better implementations can analyze actual buffer content
import hashlib
data_str = str(data)[:100] if data else ""
hash_val = hashlib.md5(f"{effect_name}:{data_str}".encode()).hexdigest()
# Convert hash to float 0.0-1.0
entropy = int(hash_val[:8], 16) / 0xFFFFFFFF
return min(max(entropy, 0.0), 1.0)
def get_sensor_value(self, sensor_name: str) -> float | None:
"""Get a sensor value from context state.
Args:
sensor_name: Name of the sensor (e.g., "mic", "camera")
Returns:
Sensor value as float, or None if not available.
"""
return self._state.get(f"sensor.{sensor_name}")
def set_state(self, key: str, value: Any) -> None:
"""Set a state value in the context."""
self._state[key] = value
def get_state(self, key: str, default: Any = None) -> Any:
"""Get a state value from the context."""
return self._state.get(key, default)
@property
def state(self) -> dict[str, Any]:
"""Get the state dictionary for direct access by effects."""
return self._state
@dataclass
class EffectConfig:
enabled: bool = True
intensity: float = 1.0
entropy: float = 0.0 # Visual chaos metric (0.0 = calm, 1.0 = chaotic)
params: dict[str, Any] = field(default_factory=dict)
class Effect(ABC):
"""Abstract base class for visual effects.
Effects are pipeline stages that transform the rendered buffer.
They can apply visual transformations like noise, fade, glitch, etc.
Subclasses must define:
- name: str - unique identifier for the effect
- config: EffectConfig - current configuration
Optional class attribute:
- param_bindings: dict - Declarative sensor-to-param bindings
Example:
param_bindings = {
"intensity": {"sensor": "mic", "transform": "linear"},
"rate": {"sensor": "mic", "transform": "exponential"},
}
And implement:
- process(buf, ctx) -> list[str]
- configure(config) -> None
Effect Behavior with ticker_height=0:
- NoiseEffect: Returns buffer unchanged (no ticker to apply noise to)
- FadeEffect: Returns buffer unchanged (no ticker to fade)
- GlitchEffect: Processes normally (doesn't depend on ticker_height)
- FirehoseEffect: Returns buffer unchanged if no items in context
Effects should handle missing or zero context values gracefully by
returning the input buffer unchanged rather than raising errors.
The param_bindings system enables PureData-style signal routing:
- Sensors emit values that effects can bind to
- Transform functions map sensor values to param ranges
- Effects read bound values from context.state["sensor.{name}"]
"""
name: str
config: EffectConfig
param_bindings: dict[str, dict[str, str | float]] = {}
supports_partial_updates: bool = False # Override in subclasses for optimization
@abstractmethod
def process(self, buf: list[str], ctx: EffectContext) -> list[str]:
"""Process the buffer with this effect applied.
Args:
buf: List of lines to process
ctx: Effect context with terminal state
Returns:
Processed buffer (may be same object or new list)
"""
...
def process_partial(
self, buf: list[str], ctx: EffectContext, partial: PartialUpdate
) -> list[str]:
"""Process a partial buffer for optimized rendering.
Override this in subclasses that support partial updates for performance.
Default implementation falls back to full buffer processing.
Args:
buf: List of lines to process
ctx: Effect context with terminal state
partial: PartialUpdate indicating which regions changed
Returns:
Processed buffer (may be same object or new list)
"""
# Default: fall back to full processing
return self.process(buf, ctx)
@abstractmethod
def configure(self, config: EffectConfig) -> None:
"""Configure the effect with new settings.
Args:
config: New configuration to apply
"""
...
# Backward compatibility alias
EffectPlugin = Effect
def create_effect_context(
terminal_width: int = 80,
terminal_height: int = 24,
scroll_cam: int = 0,
ticker_height: int = 0,
mic_excess: float = 0.0,
grad_offset: float = 0.0,
frame_number: int = 0,
has_message: bool = False,
items: list | None = None,
) -> EffectContext:
"""Factory function to create EffectContext with sensible defaults."""
return EffectContext(
terminal_width=terminal_width,
terminal_height=terminal_height,
scroll_cam=scroll_cam,
ticker_height=ticker_height,
mic_excess=mic_excess,
grad_offset=grad_offset,
frame_number=frame_number,
has_message=has_message,
items=items or [],
)
@dataclass
class PipelineConfig:
order: list[str] = field(default_factory=list)
effects: dict[str, EffectConfig] = field(default_factory=dict)
def apply_param_bindings(
effect: "EffectPlugin",
ctx: EffectContext,
) -> EffectConfig:
"""Apply sensor bindings to effect config.
This resolves param_bindings declarations by reading sensor values
from the context and applying transform functions.
Args:
effect: The effect with param_bindings to apply
ctx: EffectContext containing sensor values
Returns:
Modified EffectConfig with sensor-driven values applied.
"""
import copy
if not effect.param_bindings:
return effect.config
config = copy.deepcopy(effect.config)
for param_name, binding in effect.param_bindings.items():
sensor_name: str = binding.get("sensor", "")
transform: str = binding.get("transform", "linear")
if not sensor_name:
continue
sensor_value = ctx.get_sensor_value(sensor_name)
if sensor_value is None:
continue
if transform == "linear":
applied_value: float = sensor_value
elif transform == "exponential":
applied_value = sensor_value**2
elif transform == "threshold":
threshold = float(binding.get("threshold", 0.5))
applied_value = 1.0 if sensor_value > threshold else 0.0
elif transform == "inverse":
applied_value = 1.0 - sensor_value
else:
applied_value = sensor_value
config.params[f"{param_name}_sensor"] = applied_value
if param_name == "intensity":
base_intensity = effect.config.intensity
config.intensity = base_intensity * (0.5 + applied_value * 0.5)
return config

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"""
Sideline font configuration.
Provides default fonts for block letter rendering.
"""
import os
from pathlib import Path
# Directory containing Sideline fonts
FONTS_DIR = Path(__file__).parent
# Default font for block letter rendering
DEFAULT_FONT = FONTS_DIR / "Corptic.otf"
# Font size for default rendering
DEFAULT_FONT_SIZE = 32
def get_default_font_path() -> str:
"""Get path to default font file."""
if DEFAULT_FONT.exists():
return str(DEFAULT_FONT)
raise FileNotFoundError(f"Default font not found: {DEFAULT_FONT}")
def get_default_font_size() -> int:
"""Get default font size."""
return DEFAULT_FONT_SIZE
__all__ = [
"get_default_font_path",
"get_default_font_size",
"DEFAULT_FONT",
"DEFAULT_FONT_SIZE",
"FONTS_DIR",
]

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"""
Unified Pipeline Architecture.
This module provides a clean, dependency-managed pipeline system:
- Stage: Base class for all pipeline components
- Pipeline: DAG-based execution orchestrator
- PipelineParams: Runtime configuration for animation
- PipelinePreset: Pre-configured pipeline configurations
- StageRegistry: Unified registration for all stage types
- Plugin system: Support for external stage plugins
The pipeline architecture supports:
- Sources: Data providers (headlines, poetry, pipeline viz)
- Effects: Post-processors (noise, fade, glitch, hud)
- Displays: Output backends (terminal, pygame, websocket)
- Cameras: Viewport controllers (vertical, horizontal, omni)
Plugin System:
Plugins can be registered explicitly or discovered automatically via entry points.
Applications can register their own stages using StageRegistry.register() or
StageRegistry.register_plugin().
Example:
from sideline.pipeline import Pipeline, PipelineConfig, StageRegistry
# Register application-specific stages
StageRegistry.register("source", MyDataSource)
# Or discover plugins automatically
StageRegistry.discover_plugins()
pipeline = Pipeline(PipelineConfig(source="my_source", display="terminal"))
pipeline.add_stage("source", StageRegistry.create("source", "my_source"))
pipeline.add_stage("display", StageRegistry.create("display", "terminal"))
pipeline.build().initialize()
result = pipeline.execute(initial_data)
"""
from sideline.pipeline.controller import (
Pipeline,
PipelineConfig,
PipelineRunner,
create_default_pipeline,
create_pipeline_from_params,
)
from sideline.pipeline.core import (
PipelineContext,
Stage,
StageConfig,
StageError,
StageResult,
)
from sideline.pipeline.params import (
DEFAULT_HEADLINE_PARAMS,
DEFAULT_PIPELINE_PARAMS,
DEFAULT_PYGAME_PARAMS,
PipelineParams,
)
from sideline.pipeline.registry import (
StageRegistry,
discover_stages,
register_camera,
register_display,
register_effect,
register_source,
)
__all__ = [
# Core
"Stage",
"StageConfig",
"StageError",
"StageResult",
"PipelineContext",
# Controller
"Pipeline",
"PipelineConfig",
"PipelineRunner",
"create_default_pipeline",
"create_pipeline_from_params",
# Params
"PipelineParams",
"DEFAULT_HEADLINE_PARAMS",
"DEFAULT_PIPELINE_PARAMS",
"DEFAULT_PYGAME_PARAMS",
# Registry
"StageRegistry",
"discover_stages",
"register_source",
"register_effect",
"register_display",
"register_camera",
]

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"""
Stage adapters - Bridge existing components to the Stage interface.
This module provides adapters that wrap existing components
(EffectPlugin, Display, DataSource, Camera) as Stage implementations.
DEPRECATED: This file is now a compatibility wrapper.
Use `engine.pipeline.adapters` package instead.
"""
# Re-export from the new package structure for backward compatibility
from sideline.pipeline.adapters import (
# Adapter classes
CameraStage,
CanvasStage,
DataSourceStage,
DisplayStage,
EffectPluginStage,
FontStage,
ImageToTextStage,
PassthroughStage,
SourceItemsToBufferStage,
ViewportFilterStage,
# Factory functions
create_stage_from_camera,
create_stage_from_display,
create_stage_from_effect,
create_stage_from_font,
create_stage_from_source,
)
__all__ = [
# Adapter classes
"EffectPluginStage",
"DisplayStage",
"DataSourceStage",
"PassthroughStage",
"SourceItemsToBufferStage",
"CameraStage",
"ViewportFilterStage",
"FontStage",
"ImageToTextStage",
"CanvasStage",
# Factory functions
"create_stage_from_display",
"create_stage_from_effect",
"create_stage_from_source",
"create_stage_from_camera",
"create_stage_from_font",
]

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"""Stage adapters - Bridge existing components to the Stage interface.
This module provides adapters that wrap existing components
(EffectPlugin, Display, DataSource, Camera) as Stage implementations.
"""
from .camera import CameraClockStage, CameraStage
from .data_source import DataSourceStage, PassthroughStage, SourceItemsToBufferStage
from .display import DisplayStage
from .effect_plugin import EffectPluginStage
from .factory import (
create_stage_from_camera,
create_stage_from_display,
create_stage_from_effect,
create_stage_from_font,
create_stage_from_source,
)
from .message_overlay import MessageOverlayConfig, MessageOverlayStage
from .positioning import (
PositioningMode,
PositionStage,
create_position_stage,
)
from .transform import (
CanvasStage,
FontStage,
ImageToTextStage,
ViewportFilterStage,
)
__all__ = [
# Adapter classes
"EffectPluginStage",
"DisplayStage",
"DataSourceStage",
"PassthroughStage",
"SourceItemsToBufferStage",
"CameraStage",
"CameraClockStage",
"ViewportFilterStage",
"FontStage",
"ImageToTextStage",
"CanvasStage",
"MessageOverlayStage",
"MessageOverlayConfig",
"PositionStage",
"PositioningMode",
# Factory functions
"create_stage_from_display",
"create_stage_from_effect",
"create_stage_from_source",
"create_stage_from_camera",
"create_stage_from_font",
"create_position_stage",
]

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"""Adapter for camera stage."""
import time
from typing import Any
from sideline.pipeline.core import DataType, PipelineContext, Stage
class CameraClockStage(Stage):
"""Per-frame clock stage that updates camera state.
This stage runs once per frame and updates the camera's internal state
(position, time). It makes camera_y/camera_x available to subsequent
stages via the pipeline context.
Unlike other stages, this is a pure clock stage and doesn't process
data - it just updates camera state and passes data through unchanged.
"""
def __init__(self, camera, name: str = "camera-clock"):
self._camera = camera
self.name = name
self.category = "camera"
self.optional = False
self._last_frame_time: float | None = None
@property
def stage_type(self) -> str:
return "camera"
@property
def capabilities(self) -> set[str]:
# Provides camera state info only
# NOTE: Do NOT provide "source" as it conflicts with viewport_filter's "source.filtered"
return {"camera.state"}
@property
def dependencies(self) -> set[str]:
# Clock stage - no dependencies (updates every frame regardless of data flow)
return set()
@property
def inlet_types(self) -> set:
# Accept any data type - this is a pass-through stage
return {DataType.ANY}
@property
def outlet_types(self) -> set:
# Pass through whatever was received
return {DataType.ANY}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Update camera state and pass data through.
This stage updates the camera's internal state (position, time) and
makes the updated camera_y/camera_x available to subsequent stages
via the pipeline context.
The data is passed through unchanged - this stage only updates
camera state, it doesn't transform the data.
"""
if data is None:
return data
# Update camera speed from params if explicitly set (for dynamic modulation)
# Only update if camera_speed in params differs from the default (1.0)
# This preserves camera speed set during construction
if (
ctx.params
and hasattr(ctx.params, "camera_speed")
and ctx.params.camera_speed != 1.0
):
self._camera.set_speed(ctx.params.camera_speed)
current_time = time.perf_counter()
dt = 0.0
if self._last_frame_time is not None:
dt = current_time - self._last_frame_time
self._camera.update(dt)
self._last_frame_time = current_time
# Update context with current camera position
ctx.set_state("camera_y", self._camera.y)
ctx.set_state("camera_x", self._camera.x)
# Pass data through unchanged
return data
class CameraStage(Stage):
"""Adapter wrapping Camera as a Stage.
This stage applies camera viewport transformation to the rendered buffer.
Camera state updates are handled by CameraClockStage.
"""
def __init__(self, camera, name: str = "vertical"):
self._camera = camera
self.name = name
self.category = "camera"
self.optional = True
self._last_frame_time: float | None = None
def save_state(self) -> dict[str, Any]:
"""Save camera state for restoration after pipeline rebuild.
Returns:
Dictionary containing camera state that can be restored
"""
state = {
"x": self._camera.x,
"y": self._camera.y,
"mode": self._camera.mode.value
if hasattr(self._camera.mode, "value")
else self._camera.mode,
"speed": self._camera.speed,
"zoom": self._camera.zoom,
"canvas_width": self._camera.canvas_width,
"canvas_height": self._camera.canvas_height,
"_x_float": getattr(self._camera, "_x_float", 0.0),
"_y_float": getattr(self._camera, "_y_float", 0.0),
"_time": getattr(self._camera, "_time", 0.0),
}
# Save radial camera state if present
if hasattr(self._camera, "_r_float"):
state["_r_float"] = self._camera._r_float
if hasattr(self._camera, "_theta_float"):
state["_theta_float"] = self._camera._theta_float
if hasattr(self._camera, "_radial_input"):
state["_radial_input"] = self._camera._radial_input
return state
def restore_state(self, state: dict[str, Any]) -> None:
"""Restore camera state from saved state.
Args:
state: Dictionary containing camera state from save_state()
"""
from sideline.camera import CameraMode
self._camera.x = state.get("x", 0)
self._camera.y = state.get("y", 0)
# Restore mode - handle both enum value and direct enum
mode_value = state.get("mode", 0)
if isinstance(mode_value, int):
self._camera.mode = CameraMode(mode_value)
else:
self._camera.mode = mode_value
self._camera.speed = state.get("speed", 1.0)
self._camera.zoom = state.get("zoom", 1.0)
self._camera.canvas_width = state.get("canvas_width", 200)
self._camera.canvas_height = state.get("canvas_height", 200)
# Restore internal state
if hasattr(self._camera, "_x_float"):
self._camera._x_float = state.get("_x_float", 0.0)
if hasattr(self._camera, "_y_float"):
self._camera._y_float = state.get("_y_float", 0.0)
if hasattr(self._camera, "_time"):
self._camera._time = state.get("_time", 0.0)
# Restore radial camera state if present
if hasattr(self._camera, "_r_float"):
self._camera._r_float = state.get("_r_float", 0.0)
if hasattr(self._camera, "_theta_float"):
self._camera._theta_float = state.get("_theta_float", 0.0)
if hasattr(self._camera, "_radial_input"):
self._camera._radial_input = state.get("_radial_input", 0.0)
@property
def stage_type(self) -> str:
return "camera"
@property
def capabilities(self) -> set[str]:
return {"camera"}
@property
def dependencies(self) -> set[str]:
return {"render.output", "camera.state"}
@property
def inlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Apply camera transformation to items."""
if data is None:
return data
# Camera state is updated by CameraClockStage
# We only apply the viewport transformation here
if hasattr(self._camera, "apply"):
viewport_width = ctx.params.viewport_width if ctx.params else 80
viewport_height = ctx.params.viewport_height if ctx.params else 24
# Use filtered camera position if available (from ViewportFilterStage)
# This handles the case where the buffer has been filtered and starts at row 0
filtered_camera_y = ctx.get("camera_y", self._camera.y)
# Temporarily adjust camera position for filtering
original_y = self._camera.y
self._camera.y = filtered_camera_y
try:
result = self._camera.apply(data, viewport_width, viewport_height)
finally:
# Restore original camera position
self._camera.y = original_y
return result
return data

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"""
Stage adapters - Bridge existing components to the Stage interface.
This module provides adapters that wrap existing components
(DataSource) as Stage implementations.
"""
from typing import Any
from sideline.data_sources import SourceItem
from sideline.pipeline.core import DataType, PipelineContext, Stage
class DataSourceStage(Stage):
"""Adapter wrapping DataSource as a Stage."""
def __init__(self, data_source, name: str = "headlines"):
self._source = data_source
self.name = name
self.category = "source"
self.optional = False
@property
def capabilities(self) -> set[str]:
return {f"source.{self.name}"}
@property
def dependencies(self) -> set[str]:
return set()
@property
def inlet_types(self) -> set:
return {DataType.NONE} # Sources don't take input
@property
def outlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Fetch data from source."""
if hasattr(self._source, "get_items"):
return self._source.get_items()
return data
class PassthroughStage(Stage):
"""Simple stage that passes data through unchanged.
Used for sources that already provide the data in the correct format
(e.g., pipeline introspection that outputs text directly).
"""
def __init__(self, name: str = "passthrough"):
self.name = name
self.category = "render"
self.optional = True
@property
def stage_type(self) -> str:
return "render"
@property
def capabilities(self) -> set[str]:
return {"render.output"}
@property
def dependencies(self) -> set[str]:
return {"source"}
@property
def inlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
@property
def outlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Pass data through unchanged."""
return data
class SourceItemsToBufferStage(Stage):
"""Convert SourceItem objects to text buffer.
Takes a list of SourceItem objects and extracts their content,
splitting on newlines to create a proper text buffer for display.
"""
def __init__(self, name: str = "items-to-buffer"):
self.name = name
self.category = "render"
self.optional = True
@property
def stage_type(self) -> str:
return "render"
@property
def capabilities(self) -> set[str]:
return {"render.output"}
@property
def dependencies(self) -> set[str]:
return {"source"}
@property
def inlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Convert SourceItem list to text buffer."""
if data is None:
return []
# If already a list of strings, return as-is
if isinstance(data, list) and data and isinstance(data[0], str):
return data
# If it's a list of SourceItem, extract content
if isinstance(data, list):
result = []
for item in data:
if isinstance(item, SourceItem):
# Split content by newline to get individual lines
lines = item.content.split("\n")
result.extend(lines)
elif hasattr(item, "content"): # Has content attribute
lines = str(item.content).split("\n")
result.extend(lines)
else:
result.append(str(item))
return result
# Single item
if isinstance(data, SourceItem):
return data.content.split("\n")
return [str(data)]

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"""Adapter wrapping Display as a Stage."""
from typing import Any
from sideline.pipeline.core import PipelineContext, Stage
class DisplayStage(Stage):
"""Adapter wrapping Display as a Stage."""
def __init__(self, display, name: str = "terminal", positioning: str = "mixed"):
self._display = display
self.name = name
self.category = "display"
self.optional = False
self._initialized = False
self._init_width = 80
self._init_height = 24
self._positioning = positioning
def save_state(self) -> dict[str, Any]:
"""Save display state for restoration after pipeline rebuild.
Returns:
Dictionary containing display state that can be restored
"""
return {
"initialized": self._initialized,
"init_width": self._init_width,
"init_height": self._init_height,
"width": getattr(self._display, "width", 80),
"height": getattr(self._display, "height", 24),
}
def restore_state(self, state: dict[str, Any]) -> None:
"""Restore display state from saved state.
Args:
state: Dictionary containing display state from save_state()
"""
self._initialized = state.get("initialized", False)
self._init_width = state.get("init_width", 80)
self._init_height = state.get("init_height", 24)
# Restore display dimensions if the display supports it
if hasattr(self._display, "width"):
self._display.width = state.get("width", 80)
if hasattr(self._display, "height"):
self._display.height = state.get("height", 24)
@property
def capabilities(self) -> set[str]:
return {"display.output"}
@property
def dependencies(self) -> set[str]:
# Display needs rendered content and camera transformation
return {"render.output", "camera"}
@property
def inlet_types(self) -> set:
from sideline.pipeline.core import DataType
return {DataType.TEXT_BUFFER} # Display consumes rendered text
@property
def outlet_types(self) -> set:
from sideline.pipeline.core import DataType
return {DataType.NONE} # Display is a terminal stage (no output)
def init(self, ctx: PipelineContext) -> bool:
w = ctx.params.viewport_width if ctx.params else 80
h = ctx.params.viewport_height if ctx.params else 24
# Try to reuse display if already initialized
reuse = self._initialized
result = self._display.init(w, h, reuse=reuse)
# Update initialization state
if result is not False:
self._initialized = True
self._init_width = w
self._init_height = h
return result is not False
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Output data to display."""
if data is not None:
# Check if positioning mode is specified in context params
positioning = self._positioning
if ctx and ctx.params and hasattr(ctx.params, "positioning"):
positioning = ctx.params.positioning
# Pass positioning to display if supported
if (
hasattr(self._display, "show")
and "positioning" in self._display.show.__code__.co_varnames
):
self._display.show(data, positioning=positioning)
else:
# Fallback for displays that don't support positioning parameter
self._display.show(data)
return data
def cleanup(self) -> None:
self._display.cleanup()

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"""Adapter wrapping EffectPlugin as a Stage."""
from typing import Any
from sideline.pipeline.core import PipelineContext, Stage
class EffectPluginStage(Stage):
"""Adapter wrapping EffectPlugin as a Stage.
Supports capability-based dependencies through the dependencies parameter.
"""
def __init__(
self,
effect_plugin,
name: str = "effect",
dependencies: set[str] | None = None,
):
self._effect = effect_plugin
self.name = name
self.category = "effect"
self.optional = False
self._dependencies = dependencies or set()
@property
def stage_type(self) -> str:
"""Return stage_type based on effect name.
Overlay effects have stage_type "overlay".
"""
if self.is_overlay:
return "overlay"
return self.category
@property
def render_order(self) -> int:
"""Return render_order based on effect type.
Overlay effects have high render_order to appear on top.
"""
if self.is_overlay:
return 100 # High order for overlays
return 0
@property
def is_overlay(self) -> bool:
"""Return True for overlay effects.
Overlay effects compose on top of the buffer
rather than transforming it for the next stage.
"""
# Check if the effect has an is_overlay attribute that is explicitly True
# (not just any truthy value from a mock object)
if hasattr(self._effect, "is_overlay"):
effect_overlay = self._effect.is_overlay
# Only return True if it's explicitly set to True
if effect_overlay is True:
return True
return self.name == "hud"
@property
def capabilities(self) -> set[str]:
return {f"effect.{self.name}"}
@property
def dependencies(self) -> set[str]:
return self._dependencies
@property
def inlet_types(self) -> set:
from sideline.pipeline.core import DataType
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
from sideline.pipeline.core import DataType
return {DataType.TEXT_BUFFER}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Process data through the effect."""
if data is None:
return None
from sideline.effects.types import EffectContext, apply_param_bindings
w = ctx.params.viewport_width if ctx.params else 80
h = ctx.params.viewport_height if ctx.params else 24
frame = ctx.params.frame_number if ctx.params else 0
effect_ctx = EffectContext(
terminal_width=w,
terminal_height=h,
scroll_cam=0,
ticker_height=h,
camera_x=0,
mic_excess=0.0,
grad_offset=(frame * 0.01) % 1.0,
frame_number=frame,
has_message=False,
items=ctx.get("items", []),
)
# Copy sensor state from PipelineContext to EffectContext
for key, value in ctx.state.items():
if key.startswith("sensor."):
effect_ctx.set_state(key, value)
# Copy metrics from PipelineContext to EffectContext
if "metrics" in ctx.state:
effect_ctx.set_state("metrics", ctx.state["metrics"])
# Copy pipeline_order from PipelineContext services to EffectContext state
pipeline_order = ctx.get("pipeline_order")
if pipeline_order:
effect_ctx.set_state("pipeline_order", pipeline_order)
# Apply sensor param bindings if effect has them
if hasattr(self._effect, "param_bindings") and self._effect.param_bindings:
bound_config = apply_param_bindings(self._effect, effect_ctx)
self._effect.configure(bound_config)
return self._effect.process(data, effect_ctx)

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"""Factory functions for creating stage instances."""
from sideline.pipeline.adapters.camera import CameraStage
from sideline.pipeline.adapters.data_source import DataSourceStage
from sideline.pipeline.adapters.display import DisplayStage
from sideline.pipeline.adapters.effect_plugin import EffectPluginStage
from sideline.pipeline.adapters.transform import FontStage
def create_stage_from_display(display, name: str = "terminal") -> DisplayStage:
"""Create a DisplayStage from a display instance."""
return DisplayStage(display, name=name)
def create_stage_from_effect(effect_plugin, name: str) -> EffectPluginStage:
"""Create an EffectPluginStage from an effect plugin."""
return EffectPluginStage(effect_plugin, name=name)
def create_stage_from_source(data_source, name: str = "headlines") -> DataSourceStage:
"""Create a DataSourceStage from a data source."""
return DataSourceStage(data_source, name=name)
def create_stage_from_camera(camera, name: str = "vertical") -> CameraStage:
"""Create a CameraStage from a camera instance."""
return CameraStage(camera, name=name)
def create_stage_from_font(
font_path: str | None = None,
font_size: int | None = None,
font_ref: str | None = "default",
name: str = "font",
) -> FontStage:
"""Create a FontStage with specified font configuration."""
# FontStage currently doesn't use these parameters but keeps them for compatibility
return FontStage(name=name)

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"""
Frame Capture Stage Adapter
Wraps pipeline stages to capture frames for animation report generation.
"""
from typing import Any
from sideline.display.backends.animation_report import AnimationReportDisplay
from sideline.pipeline.core import PipelineContext, Stage
class FrameCaptureStage(Stage):
"""
Wrapper stage that captures frames before and after a wrapped stage.
This allows generating animation reports showing how each stage
transforms the data.
"""
def __init__(
self,
wrapped_stage: Stage,
display: AnimationReportDisplay,
name: str | None = None,
):
"""
Initialize frame capture stage.
Args:
wrapped_stage: The stage to wrap and capture frames from
display: The animation report display to send frames to
name: Optional name for this capture stage
"""
self._wrapped_stage = wrapped_stage
self._display = display
self.name = name or f"capture_{wrapped_stage.name}"
self.category = wrapped_stage.category
self.optional = wrapped_stage.optional
# Capture state
self._captured_input = False
self._captured_output = False
@property
def stage_type(self) -> str:
return self._wrapped_stage.stage_type
@property
def capabilities(self) -> set[str]:
return self._wrapped_stage.capabilities
@property
def dependencies(self) -> set[str]:
return self._wrapped_stage.dependencies
@property
def inlet_types(self) -> set:
return self._wrapped_stage.inlet_types
@property
def outlet_types(self) -> set:
return self._wrapped_stage.outlet_types
def init(self, ctx: PipelineContext) -> bool:
"""Initialize the wrapped stage."""
return self._wrapped_stage.init(ctx)
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""
Process data through wrapped stage and capture frames.
Args:
data: Input data (typically a text buffer)
ctx: Pipeline context
Returns:
Output data from wrapped stage
"""
# Capture input frame (before stage processing)
if isinstance(data, list) and all(isinstance(line, str) for line in data):
self._display.start_stage(f"{self._wrapped_stage.name}_input")
self._display.show(data)
self._captured_input = True
# Process through wrapped stage
result = self._wrapped_stage.process(data, ctx)
# Capture output frame (after stage processing)
if isinstance(result, list) and all(isinstance(line, str) for line in result):
self._display.start_stage(f"{self._wrapped_stage.name}_output")
self._display.show(result)
self._captured_output = True
return result
def cleanup(self) -> None:
"""Cleanup the wrapped stage."""
self._wrapped_stage.cleanup()
class FrameCaptureController:
"""
Controller for managing frame capture across the pipeline.
This class provides an easy way to enable frame capture for
specific stages or the entire pipeline.
"""
def __init__(self, display: AnimationReportDisplay):
"""
Initialize frame capture controller.
Args:
display: The animation report display to use for capture
"""
self._display = display
self._captured_stages: list[FrameCaptureStage] = []
def wrap_stage(self, stage: Stage, name: str | None = None) -> FrameCaptureStage:
"""
Wrap a stage with frame capture.
Args:
stage: The stage to wrap
name: Optional name for the capture stage
Returns:
Wrapped stage that captures frames
"""
capture_stage = FrameCaptureStage(stage, self._display, name)
self._captured_stages.append(capture_stage)
return capture_stage
def wrap_stages(self, stages: dict[str, Stage]) -> dict[str, Stage]:
"""
Wrap multiple stages with frame capture.
Args:
stages: Dictionary of stage names to stages
Returns:
Dictionary of stage names to wrapped stages
"""
wrapped = {}
for name, stage in stages.items():
wrapped[name] = self.wrap_stage(stage, name)
return wrapped
def get_captured_stages(self) -> list[FrameCaptureStage]:
"""Get list of all captured stages."""
return self._captured_stages
def generate_report(self, title: str = "Pipeline Animation Report") -> str:
"""
Generate the animation report.
Args:
title: Title for the report
Returns:
Path to the generated HTML file
"""
report_path = self._display.generate_report(title)
return str(report_path)

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"""
Message overlay stage - Renders ntfy messages as an overlay on the buffer.
This stage provides message overlay capability for displaying ntfy.sh messages
as a centered panel with pink/magenta gradient, matching upstream/main aesthetics.
"""
import re
import time
from dataclasses import dataclass
from datetime import datetime
from engine import config
from engine.effects.legacy import vis_trunc
from sideline.pipeline.core import DataType, PipelineContext, Stage
from sideline.render.blocks import big_wrap
from sideline.render.gradient import msg_gradient
@dataclass
class MessageOverlayConfig:
"""Configuration for MessageOverlayStage."""
enabled: bool = True
display_secs: int = 30 # How long to display messages
topic_url: str | None = None # Ntfy topic URL (None = use config default)
class MessageOverlayStage(Stage):
"""Stage that renders ntfy message overlay on the buffer.
Provides:
- message.overlay capability (optional)
- Renders centered panel with pink/magenta gradient
- Shows title, body, timestamp, and remaining time
"""
name = "message_overlay"
category = "overlay"
def __init__(
self, config: MessageOverlayConfig | None = None, name: str = "message_overlay"
):
self.config = config or MessageOverlayConfig()
self._ntfy_poller = None
self._msg_cache = (None, None) # (cache_key, rendered_rows)
@property
def capabilities(self) -> set[str]:
"""Provides message overlay capability."""
return {"message.overlay"} if self.config.enabled else set()
@property
def dependencies(self) -> set[str]:
"""Needs rendered buffer and camera transformation to overlay onto."""
return {"render.output", "camera"}
@property
def inlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def init(self, ctx: PipelineContext) -> bool:
"""Initialize ntfy poller if topic URL is configured."""
if not self.config.enabled:
return True
# Get or create ntfy poller
topic_url = self.config.topic_url or config.NTFY_TOPIC
if topic_url:
from sideline.ntfy import NtfyPoller
self._ntfy_poller = NtfyPoller(
topic_url=topic_url,
reconnect_delay=getattr(config, "NTFY_RECONNECT_DELAY", 5),
display_secs=self.config.display_secs,
)
self._ntfy_poller.start()
ctx.set("ntfy_poller", self._ntfy_poller)
return True
def process(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Render message overlay on the buffer."""
if not self.config.enabled or not data:
return data
# Get active message from poller
msg = None
if self._ntfy_poller:
msg = self._ntfy_poller.get_active_message()
if msg is None:
return data
# Render overlay
w = ctx.terminal_width if hasattr(ctx, "terminal_width") else 80
h = ctx.terminal_height if hasattr(ctx, "terminal_height") else 24
overlay, self._msg_cache = self._render_message_overlay(
msg, w, h, self._msg_cache
)
# Composite overlay onto buffer
result = list(data)
for line in overlay:
# Overlay uses ANSI cursor positioning, just append
result.append(line)
return result
def _render_message_overlay(
self,
msg: tuple[str, str, float] | None,
w: int,
h: int,
msg_cache: tuple,
) -> tuple[list[str], tuple]:
"""Render ntfy message overlay.
Args:
msg: (title, body, timestamp) or None
w: terminal width
h: terminal height
msg_cache: (cache_key, rendered_rows) for caching
Returns:
(list of ANSI strings, updated cache)
"""
overlay = []
if msg is None:
return overlay, msg_cache
m_title, m_body, m_ts = msg
display_text = m_body or m_title or "(empty)"
display_text = re.sub(r"\s+", " ", display_text.upper())
cache_key = (display_text, w)
if msg_cache[0] != cache_key:
msg_rows = big_wrap(display_text, w - 4)
msg_cache = (cache_key, msg_rows)
else:
msg_rows = msg_cache[1]
msg_rows = msg_gradient(msg_rows, (time.monotonic() * config.GRAD_SPEED) % 1.0)
elapsed_s = int(time.monotonic() - m_ts)
remaining = max(0, self.config.display_secs - elapsed_s)
ts_str = datetime.now().strftime("%H:%M:%S")
panel_h = len(msg_rows) + 2
panel_top = max(0, (h - panel_h) // 2)
row_idx = 0
for mr in msg_rows:
ln = vis_trunc(mr, w)
overlay.append(f"\033[{panel_top + row_idx + 1};1H {ln}\033[0m\033[K")
row_idx += 1
meta_parts = []
if m_title and m_title != m_body:
meta_parts.append(m_title)
meta_parts.append(f"ntfy \u00b7 {ts_str} \u00b7 {remaining}s")
meta = (
" " + " \u00b7 ".join(meta_parts)
if len(meta_parts) > 1
else " " + meta_parts[0]
)
overlay.append(
f"\033[{panel_top + row_idx + 1};1H\033[38;5;245m{meta}\033[0m\033[K"
)
row_idx += 1
bar = "\u2500" * (w - 4)
overlay.append(
f"\033[{panel_top + row_idx + 1};1H \033[2;38;5;37m{bar}\033[0m\033[K"
)
return overlay, msg_cache
def cleanup(self) -> None:
"""Cleanup resources."""
pass

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"""PositionStage - Configurable positioning mode for terminal rendering.
This module provides positioning stages that allow choosing between
different ANSI positioning approaches:
- ABSOLUTE: Use cursor positioning codes (\\033[row;colH) for all lines
- RELATIVE: Use newlines for all lines
- MIXED: Base content uses newlines, effects use cursor positioning (default)
"""
from enum import Enum
from typing import Any
from sideline.pipeline.core import DataType, PipelineContext, Stage
class PositioningMode(Enum):
"""Positioning mode for terminal rendering."""
ABSOLUTE = "absolute" # All lines have cursor positioning codes
RELATIVE = "relative" # Lines use newlines (no cursor codes)
MIXED = "mixed" # Mixed: newlines for base, cursor codes for overlays (default)
class PositionStage(Stage):
"""Applies positioning mode to buffer before display.
This stage allows configuring how lines are positioned in the terminal:
- ABSOLUTE: Each line has \\033[row;colH prefix (precise control)
- RELATIVE: Lines are joined with \\n (natural flow)
- MIXED: Leaves buffer as-is (effects add their own positioning)
"""
def __init__(
self, mode: PositioningMode = PositioningMode.RELATIVE, name: str = "position"
):
self.mode = mode
self.name = name
self.category = "position"
self._mode_str = mode.value
def save_state(self) -> dict[str, Any]:
"""Save positioning mode for restoration."""
return {"mode": self.mode.value}
def restore_state(self, state: dict[str, Any]) -> None:
"""Restore positioning mode from saved state."""
mode_value = state.get("mode", "relative")
self.mode = PositioningMode(mode_value)
@property
def capabilities(self) -> set[str]:
return {"position.output"}
@property
def dependencies(self) -> set[str]:
# Position stage typically runs after render but before effects
# Effects may add their own positioning codes
return {"render.output"}
@property
def inlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def init(self, ctx: PipelineContext) -> bool:
"""Initialize the positioning stage."""
return True
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Apply positioning mode to the buffer.
Args:
data: List of strings (buffer lines)
ctx: Pipeline context
Returns:
Buffer with applied positioning mode
"""
if data is None:
return data
if not isinstance(data, list):
return data
if self.mode == PositioningMode.ABSOLUTE:
return self._to_absolute(data, ctx)
elif self.mode == PositioningMode.RELATIVE:
return self._to_relative(data, ctx)
else: # MIXED
return data # No transformation
def _to_absolute(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Convert buffer to absolute positioning (all lines have cursor codes).
This mode prefixes each line with \\033[row;colH to move cursor
to the exact position before writing the line.
Args:
data: List of buffer lines
ctx: Pipeline context (provides terminal dimensions)
Returns:
Buffer with cursor positioning codes for each line
"""
result = []
viewport_height = ctx.params.viewport_height if ctx.params else 24
for i, line in enumerate(data):
if i >= viewport_height:
break # Don't exceed viewport
# Check if line already has cursor positioning
if "\033[" in line and "H" in line:
# Already has cursor positioning - leave as-is
result.append(line)
else:
# Add cursor positioning for this line
# Row is 1-indexed
result.append(f"\033[{i + 1};1H{line}")
return result
def _to_relative(self, data: list[str], ctx: PipelineContext) -> list[str]:
"""Convert buffer to relative positioning (use newlines).
This mode removes explicit cursor positioning codes from lines
(except for effects that specifically add them).
Note: Effects like HUD add their own cursor positioning codes,
so we can't simply remove all of them. We rely on the terminal
display to join lines with newlines.
Args:
data: List of buffer lines
ctx: Pipeline context (unused)
Returns:
Buffer with minimal cursor positioning (only for overlays)
"""
# For relative mode, we leave the buffer as-is
# The terminal display handles joining with newlines
# Effects that need absolute positioning will add their own codes
# Filter out lines that would cause double-positioning
result = []
for i, line in enumerate(data):
# Check if this line looks like base content (no cursor code at start)
# vs an effect line (has cursor code at start)
if line.startswith("\033[") and "H" in line[:20]:
# This is an effect with positioning - keep it
result.append(line)
else:
# Base content - strip any inline cursor codes (rare)
# but keep color codes
result.append(line)
return result
def cleanup(self) -> None:
"""Clean up positioning stage."""
pass
# Convenience function to create positioning stage
def create_position_stage(
mode: str = "relative", name: str = "position"
) -> PositionStage:
"""Create a positioning stage with the specified mode.
Args:
mode: Positioning mode ("absolute", "relative", or "mixed")
name: Name for the stage
Returns:
PositionStage instance
"""
try:
positioning_mode = PositioningMode(mode)
except ValueError:
positioning_mode = PositioningMode.RELATIVE
return PositionStage(mode=positioning_mode, name=name)

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"""Adapters for transform stages (viewport, font, image, canvas)."""
from typing import Any
import sideline.render
from sideline.data_sources import SourceItem
from sideline.pipeline.core import DataType, PipelineContext, Stage
def estimate_simple_height(text: str, width: int) -> int:
"""Estimate height in terminal rows using simple word wrap.
Uses conservative estimation suitable for headlines.
Each wrapped line is approximately 6 terminal rows (big block rendering).
"""
words = text.split()
if not words:
return 6
lines = 1
current_len = 0
for word in words:
word_len = len(word)
if current_len + word_len + 1 > width - 4: # -4 for margins
lines += 1
current_len = word_len
else:
current_len += word_len + 1
return lines * 6 # 6 rows per line for big block rendering
class ViewportFilterStage(Stage):
"""Filter items to viewport height based on rendered height."""
def __init__(self, name: str = "viewport-filter"):
self.name = name
self.category = "render"
self.optional = True
self._layout: list[int] = []
@property
def stage_type(self) -> str:
return "render"
@property
def capabilities(self) -> set[str]:
return {"source.filtered"}
@property
def dependencies(self) -> set[str]:
# Always requires camera.state for viewport filtering
# CameraUpdateStage provides this (auto-injected if missing)
return {"source", "camera.state"}
@property
def inlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
@property
def outlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Filter items to viewport height based on rendered height."""
if data is None:
return data
if not isinstance(data, list):
return data
if not data:
return []
# Get viewport parameters from context
viewport_height = ctx.params.viewport_height if ctx.params else 24
viewport_width = ctx.params.viewport_width if ctx.params else 80
camera_y = ctx.get("camera_y", 0)
# Estimate height for each item and cache layout
self._layout = []
cumulative_heights = []
current_height = 0
for item in data:
title = item.content if isinstance(item, SourceItem) else str(item)
# Use simple height estimation (not PIL-based)
estimated_height = estimate_simple_height(title, viewport_width)
self._layout.append(estimated_height)
current_height += estimated_height
cumulative_heights.append(current_height)
# Find visible range based on camera_y and viewport_height
# camera_y is the scroll offset (how many rows are scrolled up)
start_y = camera_y
end_y = camera_y + viewport_height
# Find start index (first item that intersects with visible range)
start_idx = 0
start_item_y = 0 # Y position where the first visible item starts
for i, total_h in enumerate(cumulative_heights):
if total_h > start_y:
start_idx = i
# Calculate the Y position of the start of this item
if i > 0:
start_item_y = cumulative_heights[i - 1]
break
# Find end index (first item that extends beyond visible range)
end_idx = len(data)
for i, total_h in enumerate(cumulative_heights):
if total_h >= end_y:
end_idx = i + 1
break
# Adjust camera_y for the filtered buffer
# The filtered buffer starts at row 0, but the camera position
# needs to be relative to where the first visible item starts
filtered_camera_y = camera_y - start_item_y
# Update context with the filtered camera position
# This ensures CameraStage can correctly slice the filtered buffer
ctx.set_state("camera_y", filtered_camera_y)
ctx.set_state("camera_x", ctx.get("camera_x", 0)) # Keep camera_x unchanged
# Return visible items
return data[start_idx:end_idx]
class FontStage(Stage):
"""Render items using font."""
def __init__(self, name: str = "font"):
self.name = name
self.category = "render"
self.optional = False
@property
def stage_type(self) -> str:
return "render"
@property
def capabilities(self) -> set[str]:
return {"render.output"}
@property
def stage_dependencies(self) -> set[str]:
# Must connect to viewport_filter stage to get filtered source
return {"viewport_filter"}
@property
def dependencies(self) -> set[str]:
# Depend on source.filtered (provided by viewport_filter)
# This ensures we get the filtered/processed source, not raw source
return {"source.filtered"}
@property
def inlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Render items to text buffer using font."""
if data is None:
return []
if not isinstance(data, list):
return [str(data)]
import os
if os.environ.get("DEBUG_CAMERA"):
print(f"FontStage: input items={len(data)}")
viewport_width = ctx.params.viewport_width if ctx.params else 80
result = []
for item in data:
if isinstance(item, SourceItem):
title = item.content
src = item.source
ts = item.timestamp
content_lines, _, _ = engine.render.make_block(
title, src, ts, viewport_width
)
result.extend(content_lines)
elif hasattr(item, "content"):
title = str(item.content)
content_lines, _, _ = engine.render.make_block(
title, "", "", viewport_width
)
result.extend(content_lines)
else:
result.append(str(item))
return result
class ImageToTextStage(Stage):
"""Convert image items to text."""
def __init__(self, name: str = "image-to-text"):
self.name = name
self.category = "render"
self.optional = True
@property
def stage_type(self) -> str:
return "render"
@property
def capabilities(self) -> set[str]:
return {"render.output"}
@property
def dependencies(self) -> set[str]:
return {"source"}
@property
def inlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Convert image items to text representation."""
if data is None:
return []
if not isinstance(data, list):
return [str(data)]
result = []
for item in data:
# Check if item is an image
if hasattr(item, "image_path") or hasattr(item, "image_data"):
# Placeholder: would normally render image to ASCII art
result.append(f"[Image: {getattr(item, 'image_path', 'data')}]")
elif isinstance(item, SourceItem):
result.extend(item.content.split("\n"))
else:
result.append(str(item))
return result
class CanvasStage(Stage):
"""Render items to canvas."""
def __init__(self, name: str = "canvas"):
self.name = name
self.category = "render"
self.optional = False
@property
def stage_type(self) -> str:
return "render"
@property
def capabilities(self) -> set[str]:
return {"render.output"}
@property
def dependencies(self) -> set[str]:
return {"source"}
@property
def inlet_types(self) -> set:
return {DataType.SOURCE_ITEMS}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Render items to canvas."""
if data is None:
return []
if not isinstance(data, list):
return [str(data)]
# Simple canvas rendering
result = []
for item in data:
if isinstance(item, SourceItem):
result.extend(item.content.split("\n"))
else:
result.append(str(item))
return result

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View File

@@ -15,7 +15,7 @@ from enum import Enum, auto
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from engine.pipeline.params import PipelineParams
from sideline.pipeline.params import PipelineParams
class DataType(Enum):
@@ -245,21 +245,17 @@ class PipelineContext:
self.state: dict[str, Any] = initial_state or {}
self._params: PipelineParams | None = None
# Lazy resolvers for common services
self._lazy_resolvers: dict[str, Callable[[], Any]] = {
"config": self._resolve_config,
"event_bus": self._resolve_event_bus,
}
# Lazy resolvers for services (can be added by applications)
self._lazy_resolvers: dict[str, Callable[[], Any]] = {}
def _resolve_config(self) -> Any:
from engine.config import get_config
def register_service(self, name: str, resolver: Callable[[], Any]) -> None:
"""Register a lazy service resolver.
return get_config()
def _resolve_event_bus(self) -> Any:
from engine.eventbus import get_event_bus
return get_event_bus()
Args:
name: Service name (e.g., 'config', 'event_bus')
resolver: Function that returns the service instance
"""
self._lazy_resolvers[name] = resolver
def get(self, key: str, default: Any = None) -> Any:
"""Get a service or state value by key.

152
sideline/pipeline/params.py Normal file
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@@ -0,0 +1,152 @@
"""
Pipeline parameters - Runtime configuration layer for animation control.
PipelineParams is the target for AnimationController - animation events
modify these params, which the pipeline then applies to its stages.
"""
from dataclasses import dataclass, field
from typing import Any
try:
from sideline.display import BorderMode
except ImportError:
BorderMode = object # Fallback for type checking
@dataclass
class PipelineParams:
"""Runtime configuration for the pipeline.
This is the canonical config object that AnimationController modifies.
Stages read from these params to adjust their behavior.
"""
# Source config
source: str = "headlines"
source_refresh_interval: float = 60.0
# Display config
display: str = "terminal"
border: bool | BorderMode = False
positioning: str = "mixed" # Positioning mode: "absolute", "relative", "mixed"
# Camera config
camera_mode: str = "vertical"
camera_speed: float = 1.0 # Default speed
camera_x: int = 0 # For horizontal scrolling
# Effect config
effect_order: list[str] = field(
default_factory=lambda: ["noise", "fade", "glitch", "firehose"]
)
effect_enabled: dict[str, bool] = field(default_factory=dict)
effect_intensity: dict[str, float] = field(default_factory=dict)
# Animation-driven state (set by AnimationController)
pulse: float = 0.0
current_effect: str | None = None
path_progress: float = 0.0
# Viewport
viewport_width: int = 80
viewport_height: int = 24
# Firehose
firehose_enabled: bool = False
# Runtime state
frame_number: int = 0
fps: float = 60.0
def get_effect_config(self, name: str) -> tuple[bool, float]:
"""Get (enabled, intensity) for an effect."""
enabled = self.effect_enabled.get(name, True)
intensity = self.effect_intensity.get(name, 1.0)
return enabled, intensity
def set_effect_config(self, name: str, enabled: bool, intensity: float) -> None:
"""Set effect configuration."""
self.effect_enabled[name] = enabled
self.effect_intensity[name] = intensity
def is_effect_enabled(self, name: str) -> bool:
"""Check if an effect is enabled."""
if name not in self.effect_enabled:
return True # Default to enabled
return self.effect_enabled.get(name, True)
def get_effect_intensity(self, name: str) -> float:
"""Get effect intensity (0.0 to 1.0)."""
return self.effect_intensity.get(name, 1.0)
def to_dict(self) -> dict[str, Any]:
"""Convert to dictionary for serialization."""
return {
"source": self.source,
"display": self.display,
"positioning": self.positioning,
"camera_mode": self.camera_mode,
"camera_speed": self.camera_speed,
"effect_order": self.effect_order,
"effect_enabled": self.effect_enabled.copy(),
"effect_intensity": self.effect_intensity.copy(),
"pulse": self.pulse,
"current_effect": self.current_effect,
"viewport_width": self.viewport_width,
"viewport_height": self.viewport_height,
"firehose_enabled": self.firehose_enabled,
}
@classmethod
def from_dict(cls, data: dict[str, Any]) -> "PipelineParams":
"""Create from dictionary."""
params = cls()
for key, value in data.items():
if hasattr(params, key):
setattr(params, key, value)
return params
def copy(self) -> "PipelineParams":
"""Create a copy of this params object."""
params = PipelineParams()
params.source = self.source
params.display = self.display
params.camera_mode = self.camera_mode
params.camera_speed = self.camera_speed
params.camera_x = self.camera_x
params.effect_order = self.effect_order.copy()
params.effect_enabled = self.effect_enabled.copy()
params.effect_intensity = self.effect_intensity.copy()
params.pulse = self.pulse
params.current_effect = self.current_effect
params.path_progress = self.path_progress
params.viewport_width = self.viewport_width
params.viewport_height = self.viewport_height
params.firehose_enabled = self.firehose_enabled
params.frame_number = self.frame_number
params.fps = self.fps
return params
# Default params for different modes
DEFAULT_HEADLINE_PARAMS = PipelineParams(
source="headlines",
display="terminal",
camera_mode="vertical",
effect_order=["noise", "fade", "glitch", "firehose"],
)
DEFAULT_PYGAME_PARAMS = PipelineParams(
source="headlines",
display="pygame",
camera_mode="vertical",
effect_order=["noise", "fade", "glitch", "firehose"],
)
DEFAULT_PIPELINE_PARAMS = PipelineParams(
source="pipeline",
display="pygame",
camera_mode="trace",
effect_order=[], # No effects for pipeline viz
)

View File

@@ -0,0 +1,242 @@
"""
Stage registry - Unified registration for all pipeline stages.
Provides a single registry for sources, effects, displays, and cameras.
Supports plugin discovery via entry points and explicit registration.
"""
from __future__ import annotations
import importlib
import importlib.metadata
import logging
from typing import TYPE_CHECKING, Any, TypeVar
from sideline.pipeline.core import Stage
if TYPE_CHECKING:
from sideline.pipeline.core import Stage
T = TypeVar("T")
logger = logging.getLogger(__name__)
class StageRegistry:
"""Unified registry for all pipeline stage types.
Supports both explicit registration and automatic discovery via entry points.
Plugins can be registered manually or discovered automatically.
"""
_categories: dict[str, dict[str, type[Any]]] = {}
_discovered: bool = False
_instances: dict[str, Stage] = {}
_plugins_discovered: bool = False
_plugin_modules: set[str] = set() # Track loaded plugin modules
@classmethod
def register(cls, category: str, stage_class: type[Any]) -> None:
"""Register a stage class in a category.
Args:
category: Category name (source, effect, display, camera)
stage_class: Stage subclass to register
"""
if category not in cls._categories:
cls._categories[category] = {}
key = getattr(stage_class, "__name__", stage_class.__class__.__name__)
cls._categories[category][key] = stage_class
@classmethod
def get(cls, category: str, name: str) -> type[Any] | None:
"""Get a stage class by category and name."""
return cls._categories.get(category, {}).get(name)
@classmethod
def list(cls, category: str) -> list[str]:
"""List all stage names in a category."""
return list(cls._categories.get(category, {}).keys())
@classmethod
def list_categories(cls) -> list[str]:
"""List all registered categories."""
return list(cls._categories.keys())
@classmethod
def create(cls, category: str, name: str, **kwargs) -> Stage | None:
"""Create a stage instance by category and name."""
stage_class = cls.get(category, name)
if stage_class:
return stage_class(**kwargs)
return None
@classmethod
def create_instance(cls, stage: Stage | type[Stage], **kwargs) -> Stage:
"""Create an instance from a stage class or return as-is."""
if isinstance(stage, Stage):
return stage
if isinstance(stage, type) and issubclass(stage, Stage):
return stage(**kwargs)
raise TypeError(f"Expected Stage class or instance, got {type(stage)}")
@classmethod
def register_instance(cls, name: str, stage: Stage) -> None:
"""Register a stage instance by name."""
cls._instances[name] = stage
@classmethod
def get_instance(cls, name: str) -> Stage | None:
"""Get a registered stage instance by name."""
return cls._instances.get(name)
@classmethod
def register_plugin_module(cls, plugin_module: str) -> None:
"""Register stages from an external plugin module.
The module should define a register_stages(registry) function.
Args:
plugin_module: Full module path (e.g., 'engine.plugins')
"""
if plugin_module in cls._plugin_modules:
logger.debug(f"Plugin module {plugin_module} already loaded")
return
try:
module = importlib.import_module(plugin_module)
if hasattr(module, "register_stages"):
module.register_stages(cls)
cls._plugin_modules.add(plugin_module)
logger.info(f"Registered stages from {plugin_module}")
else:
logger.warning(
f"Plugin module {plugin_module} has no register_stages function"
)
except ImportError as e:
logger.warning(f"Failed to import plugin module {plugin_module}: {e}")
# Backward compatibility alias
register_plugin = register_plugin_module
@classmethod
def discover_plugins(cls) -> None:
"""Auto-discover and register plugins via entry points.
Looks for 'sideline.stages' entry points in installed packages.
Each entry point should point to a register_stages(registry) function.
"""
if cls._plugins_discovered:
return
try:
# Discover entry points for sideline.stages
# Python 3.12+ changed the entry_points() API
try:
entry_points = importlib.metadata.entry_points()
if hasattr(entry_points, "get"):
# Python < 3.12
stages_eps = entry_points.get("sideline.stages", [])
else:
# Python 3.12+
stages_eps = entry_points.select(group="sideline.stages")
except Exception:
# Fallback: try both approaches
try:
entry_points = importlib.metadata.entry_points()
stages_eps = entry_points.get("sideline.stages", [])
except Exception:
stages_eps = []
for ep in stages_eps:
try:
register_func = ep.load()
if callable(register_func):
register_func(cls)
logger.info(f"Discovered and registered plugin: {ep.name}")
except Exception as e:
logger.warning(f"Failed to load entry point {ep.name}: {e}")
cls._plugins_discovered = True
except Exception as e:
logger.warning(f"Failed to discover plugins: {e}")
@classmethod
def get_discovered_modules(cls) -> set[str]:
"""Get set of plugin modules that have been loaded."""
return cls._plugin_modules.copy()
def discover_stages() -> None:
"""Auto-discover and register all stage implementations.
This function now only registers framework-level stages (displays, etc.).
Application-specific stages should be registered via plugins.
"""
if StageRegistry._discovered:
return
# Register display stages (framework-level)
_register_display_stages()
# Discover plugins via entry points
StageRegistry.discover_plugins()
StageRegistry._discovered = True
def _register_display_stages() -> None:
"""Register display backends as stages."""
try:
from sideline.display import DisplayRegistry
except ImportError:
return
DisplayRegistry.initialize()
for backend_name in DisplayRegistry.list_backends():
factory = _DisplayStageFactory(backend_name)
StageRegistry._categories.setdefault("display", {})[backend_name] = factory
class _DisplayStageFactory:
"""Factory that creates DisplayStage instances for a specific backend."""
def __init__(self, backend_name: str):
self._backend_name = backend_name
def __call__(self):
from sideline.display import DisplayRegistry
from sideline.pipeline.adapters import DisplayStage
display = DisplayRegistry.create(self._backend_name)
if display is None:
raise RuntimeError(
f"Failed to create display backend: {self._backend_name}"
)
return DisplayStage(display, name=self._backend_name)
@property
def __name__(self) -> str:
return self._backend_name.capitalize() + "Stage"
# Convenience functions
def register_source(stage_class: type[Stage]) -> None:
"""Register a source stage."""
StageRegistry.register("source", stage_class)
def register_effect(stage_class: type[Stage]) -> None:
"""Register an effect stage."""
StageRegistry.register("effect", stage_class)
def register_display(stage_class: type[Stage]) -> None:
"""Register a display stage."""
StageRegistry.register("display", stage_class)
def register_camera(stage_class: type[Stage]) -> None:
"""Register a camera stage."""
StageRegistry.register("camera", stage_class)

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@@ -0,0 +1,174 @@
"""
Frame buffer stage - stores previous frames for temporal effects.
Provides (per-instance, using instance name):
- framebuffer.{name}.history: list of previous buffers (most recent first)
- framebuffer.{name}.intensity_history: list of corresponding intensity maps
- framebuffer.{name}.current_intensity: intensity map for current frame
Capability: "framebuffer.history.{name}"
"""
import threading
from dataclasses import dataclass
from typing import Any
from sideline.display import _strip_ansi
from sideline.pipeline.core import DataType, PipelineContext, Stage
@dataclass
class FrameBufferConfig:
"""Configuration for FrameBufferStage."""
history_depth: int = 2 # Number of previous frames to keep
name: str = "default" # Unique instance name for capability and context keys
class FrameBufferStage(Stage):
"""Stores frame history and computes intensity maps.
Supports multiple instances with unique capabilities and context keys.
"""
name = "framebuffer"
category = "effect" # It's an effect that enriches context with frame history
def __init__(
self,
config: FrameBufferConfig | None = None,
history_depth: int = 2,
name: str = "default",
):
self.config = config or FrameBufferConfig(
history_depth=history_depth, name=name
)
self._lock = threading.Lock()
@property
def capabilities(self) -> set[str]:
return {f"framebuffer.history.{self.config.name}"}
@property
def dependencies(self) -> set[str]:
# Depends on rendered output (since we want to capture final buffer)
return {"render.output"}
@property
def inlet_types(self) -> set:
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
return {DataType.TEXT_BUFFER} # Pass through unchanged
def init(self, ctx: PipelineContext) -> bool:
"""Initialize framebuffer state in context."""
prefix = f"framebuffer.{self.config.name}"
ctx.set(f"{prefix}.history", [])
ctx.set(f"{prefix}.intensity_history", [])
return True
def process(self, data: Any, ctx: PipelineContext) -> Any:
"""Store frame in history and compute intensity.
Args:
data: Current text buffer (list[str])
ctx: Pipeline context
Returns:
Same buffer (pass-through)
"""
if not isinstance(data, list):
return data
prefix = f"framebuffer.{self.config.name}"
# Compute intensity map for current buffer (per-row, length = buffer rows)
intensity_map = self._compute_buffer_intensity(data, len(data))
# Store in context
ctx.set(f"{prefix}.current_intensity", intensity_map)
with self._lock:
# Get existing histories
history = ctx.get(f"{prefix}.history", [])
intensity_hist = ctx.get(f"{prefix}.intensity_history", [])
# Prepend current frame to history
history.insert(0, data.copy())
intensity_hist.insert(0, intensity_map)
# Trim to configured depth
max_depth = self.config.history_depth
ctx.set(f"{prefix}.history", history[:max_depth])
ctx.set(f"{prefix}.intensity_history", intensity_hist[:max_depth])
return data
def _compute_buffer_intensity(
self, buf: list[str], max_rows: int = 24
) -> list[float]:
"""Compute average intensity per row in buffer.
Uses ANSI color if available; falls back to character density.
Args:
buf: Text buffer (list of strings)
max_rows: Maximum number of rows to process
Returns:
List of intensity values (0.0-1.0) per row
"""
intensities = []
# Limit to viewport height
lines = buf[:max_rows]
for line in lines:
# Strip ANSI codes for length calc
plain = _strip_ansi(line)
if not plain:
intensities.append(0.0)
continue
# Simple heuristic: ratio of non-space characters
# More sophisticated version could parse ANSI RGB brightness
filled = sum(1 for c in plain if c not in (" ", "\t"))
total = len(plain)
intensity = filled / total if total > 0 else 0.0
intensities.append(max(0.0, min(1.0, intensity)))
# Pad to max_rows if needed
while len(intensities) < max_rows:
intensities.append(0.0)
return intensities
def get_frame(
self, index: int = 0, ctx: PipelineContext | None = None
) -> list[str] | None:
"""Get frame from history by index (0 = current, 1 = previous, etc)."""
if ctx is None:
return None
prefix = f"framebuffer.{self.config.name}"
history = ctx.get(f"{prefix}.history", [])
if 0 <= index < len(history):
return history[index]
return None
def get_intensity(
self, index: int = 0, ctx: PipelineContext | None = None
) -> list[float] | None:
"""Get intensity map from history by index."""
if ctx is None:
return None
prefix = f"framebuffer.{self.config.name}"
intensity_hist = ctx.get(f"{prefix}.intensity_history", [])
if 0 <= index < len(intensity_hist):
return intensity_hist[index]
return None
def cleanup(self) -> None:
"""Cleanup resources."""
pass

View File

@@ -0,0 +1,26 @@
"""
Sideline Plugin System.
This module provides the plugin framework for Sideline, allowing applications
to extend the pipeline with custom stages, effects, and sources.
Features:
- Plugin base classes with metadata
- Security permission system
- Compatibility management
- Entry point discovery
"""
from sideline.plugins.base import StagePlugin, Plugin, PluginMetadata
from sideline.plugins.security import SecurityCapability, SecurityManager
from sideline.plugins.compatibility import VersionConstraint, CompatibilityManager
__all__ = [
"StagePlugin",
"Plugin", # Backward compatibility alias
"PluginMetadata",
"SecurityCapability",
"SecurityManager",
"VersionConstraint",
"CompatibilityManager",
]

78
sideline/plugins/base.py Normal file
View File

@@ -0,0 +1,78 @@
"""
Base classes for Sideline plugins.
Provides Plugin base class and PluginMetadata for plugin registration.
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import ClassVar, Set
@dataclass
class PluginMetadata:
"""Plugin metadata with security and compatibility information."""
name: str
version: str
author: str
description: str
sideline_version: str # Compatible Sideline version (semver constraint)
permissions: Set[str] = field(default_factory=set) # Required security permissions
capabilities: Set[str] = field(default_factory=set) # Provided capabilities
def validate(self) -> None:
"""Validate metadata fields."""
if not self.name:
raise ValueError("Plugin name cannot be empty")
if not self.version:
raise ValueError("Plugin version cannot be empty")
if not self.author:
raise ValueError("Plugin author cannot be empty")
if not self.sideline_version:
raise ValueError("Plugin sideline_version cannot be empty")
class StagePlugin(ABC):
"""Base class for Sideline stage plugins (distributable pipeline components).
A StagePlugin represents a distributable unit that can contain one or more
pipeline stages. Plugins provide metadata for security, compatibility,
and versioning.
Subclasses must implement:
- validate_security(granted_permissions) -> bool
"""
metadata: ClassVar[PluginMetadata]
@abstractmethod
def validate_security(self, granted_permissions: Set[str]) -> bool:
"""Check if plugin has required permissions.
Args:
granted_permissions: Set of granted security permissions
Returns:
True if plugin has all required permissions
"""
pass
@classmethod
def get_metadata(cls) -> PluginMetadata:
"""Get plugin metadata."""
return cls.metadata
@classmethod
def get_required_permissions(cls) -> Set[str]:
"""Get required security permissions."""
return cls.metadata.permissions
@classmethod
def get_provided_capabilities(cls) -> Set[str]:
"""Get provided capabilities."""
return cls.metadata.capabilities
# Backward compatibility alias
Plugin = StagePlugin

View File

@@ -0,0 +1,259 @@
"""
Compatibility management for Sideline plugins.
Provides semantic version constraint checking and validation.
"""
import re
from dataclasses import dataclass
from typing import Optional, Tuple
@dataclass
class Version:
"""Semantic version representation."""
major: int
minor: int
patch: int
pre_release: Optional[str] = None
build_metadata: Optional[str] = None
@classmethod
def parse(cls, version_str: str) -> "Version":
"""Parse version string into Version object.
Supports formats like:
- 1.2.3
- 1.2.3-alpha
- 1.2.3-beta.1
- 1.2.3+build.123
"""
# Remove build metadata if present
if "+" in version_str:
version_str, build_metadata = version_str.split("+", 1)
else:
build_metadata = None
# Parse pre-release if present
pre_release = None
if "-" in version_str:
version_str, pre_release = version_str.split("-", 1)
# Parse major.minor.patch
parts = version_str.split(".")
if len(parts) != 3:
raise ValueError(f"Invalid version format: {version_str}")
try:
major = int(parts[0])
minor = int(parts[1])
patch = int(parts[2])
except ValueError:
raise ValueError(f"Invalid version numbers: {version_str}")
return cls(major, minor, patch, pre_release, build_metadata)
def __str__(self) -> str:
result = f"{self.major}.{self.minor}.{self.patch}"
if self.pre_release:
result += f"-{self.pre_release}"
if self.build_metadata:
result += f"+{self.build_metadata}"
return result
def __lt__(self, other: "Version") -> bool:
if not isinstance(other, Version):
return NotImplemented
# Compare major.minor.patch
if (self.major, self.minor, self.patch) < (
other.major,
other.minor,
other.patch,
):
return True
if (self.major, self.minor, self.patch) > (
other.major,
other.minor,
other.patch,
):
return False
# Pre-release versions have lower precedence
if self.pre_release and not other.pre_release:
return True
if not self.pre_release and other.pre_release:
return False
if self.pre_release and other.pre_release:
return self.pre_release < other.pre_release
return False
def __le__(self, other: "Version") -> bool:
return self < other or self == other
def __gt__(self, other: "Version") -> bool:
return not (self <= other)
def __ge__(self, other: "Version") -> bool:
return not (self < other)
def __eq__(self, other: object) -> bool:
if not isinstance(other, Version):
return NotImplemented
return (
self.major == other.major
and self.minor == other.minor
and self.patch == other.patch
and self.pre_release == other.pre_release
and self.build_metadata == other.build_metadata
)
def __ne__(self, other: object) -> bool:
return not self.__eq__(other)
class VersionConstraint:
"""Semantic version constraint parser and evaluator."""
def __init__(self, constraint: str):
"""Parse version constraint string.
Supports formats:
- "1.2.3" - exact version
- ">=1.2.3" - minimum version
- "<2.0.0" - maximum version
- ">=1.0.0,<2.0.0" - version range
- "~1.2.3" - pessimistic constraint (>=1.2.3,<1.3.0)
- "^1.2.3" - caret constraint (>=1.2.3,<2.0.0)
"""
self.constraint_str = constraint
self.min_version: Optional[Version] = None
self.max_version: Optional[Version] = None
self.exact_version: Optional[Version] = None
self._parse(constraint)
def _parse(self, constraint: str) -> None:
"""Parse constraint string."""
# Handle comma-separated constraints
if "," in constraint:
parts = [p.strip() for p in constraint.split(",")]
for part in parts:
self._parse_single(part)
else:
self._parse_single(constraint)
def _parse_single(self, constraint: str) -> None:
"""Parse a single constraint."""
constraint = constraint.strip()
# Exact version
if not any(op in constraint for op in [">=", "<=", ">", "<", "~", "^"]):
self.exact_version = Version.parse(constraint)
return
# Operator-based constraints
if ">=" in constraint:
op, version_str = constraint.split(">=", 1)
self.min_version = Version.parse(version_str.strip())
elif "<=" in constraint:
op, version_str = constraint.split("<=", 1)
self.max_version = Version.parse(version_str.strip())
elif ">" in constraint:
op, version_str = constraint.split(">", 1)
# Strict greater than - increment patch version
v = Version.parse(version_str.strip())
self.min_version = Version(v.major, v.minor, v.patch + 1)
elif "<" in constraint:
op, version_str = constraint.split("<", 1)
# Strict less than - decrement patch version (simplified)
v = Version.parse(version_str.strip())
self.max_version = Version(v.major, v.minor, v.patch - 1)
elif "~" in constraint:
# Pessimistic constraint: ~1.2.3 means >=1.2.3,<1.3.0
version_str = constraint[1:] # Remove ~
v = Version.parse(version_str.strip())
self.min_version = v
self.max_version = Version(v.major, v.minor + 1, 0)
elif "^" in constraint:
# Caret constraint: ^1.2.3 means >=1.2.3,<2.0.0
version_str = constraint[1:] # Remove ^
v = Version.parse(version_str.strip())
self.min_version = v
self.max_version = Version(v.major + 1, 0, 0)
def is_compatible(self, version: Version | str) -> bool:
"""Check if a version satisfies this constraint."""
if isinstance(version, str):
version = Version.parse(version)
# Exact version match
if self.exact_version is not None:
return version == self.exact_version
# Check minimum version
if self.min_version is not None:
if version < self.min_version:
return False
# Check maximum version
if self.max_version is not None:
if version >= self.max_version:
return False
return True
def __str__(self) -> str:
return self.constraint_str
class CompatibilityManager:
"""Manages plugin compatibility with Sideline."""
@classmethod
def get_sideline_version(cls) -> Version:
"""Get the current Sideline version."""
# Import here to avoid circular imports
import sideline
return Version.parse(sideline.__version__)
@classmethod
def validate_compatibility(cls, plugin_version_constraint: str) -> bool:
"""Validate plugin is compatible with current Sideline version.
Args:
plugin_version_constraint: Version constraint string from plugin metadata
Returns:
True if compatible, False otherwise
"""
try:
sideline_version = cls.get_sideline_version()
constraint = VersionConstraint(plugin_version_constraint)
return constraint.is_compatible(sideline_version)
except Exception as e:
# If parsing fails, consider incompatible
import logging
logger = logging.getLogger(__name__)
logger.warning(f"Failed to validate compatibility: {e}")
return False
@classmethod
def get_compatibility_error(cls, plugin_version_constraint: str) -> Optional[str]:
"""Get compatibility error message if incompatible.
Returns:
Error message string or None if compatible
"""
if cls.validate_compatibility(plugin_version_constraint):
return None
sideline_version = cls.get_sideline_version()
return (
f"Plugin requires Sideline {plugin_version_constraint}, "
f"but current version is {sideline_version}"
)

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"""
Security system for Sideline plugins.
Provides permission-based security model for plugin execution.
"""
from enum import Enum, auto
from typing import Set
class SecurityCapability(Enum):
"""Security capability/permission definitions."""
READ = auto() # Read access to buffer/data
WRITE = auto() # Write access to buffer
NETWORK = auto() # Network access
FILESYSTEM = auto() # File system access
SYSTEM = auto() # System information access
def __str__(self) -> str:
return f"security.{self.name.lower()}"
@classmethod
def from_string(cls, permission: str) -> "SecurityCapability":
"""Parse security capability from string."""
if permission.startswith("security."):
permission = permission[9:] # Remove "security." prefix
try:
return cls[permission.upper()]
except KeyError:
raise ValueError(f"Unknown security capability: {permission}")
class SecurityManager:
"""Manages security permissions for plugin execution."""
def __init__(self):
self._granted_permissions: Set[str] = set()
def grant(self, permission: SecurityCapability | str) -> None:
"""Grant a security permission."""
if isinstance(permission, SecurityCapability):
permission = str(permission)
self._granted_permissions.add(permission)
def revoke(self, permission: SecurityCapability | str) -> None:
"""Revoke a security permission."""
if isinstance(permission, SecurityCapability):
permission = str(permission)
self._granted_permissions.discard(permission)
def has(self, permission: SecurityCapability | str) -> bool:
"""Check if a permission is granted."""
if isinstance(permission, SecurityCapability):
permission = str(permission)
return permission in self._granted_permissions
def has_all(self, permissions: Set[str]) -> bool:
"""Check if all permissions are granted."""
return all(self.has(p) for p in permissions)
def get_granted(self) -> Set[str]:
"""Get all granted permissions."""
return self._granted_permissions.copy()
def reset(self) -> None:
"""Reset all permissions."""
self._granted_permissions.clear()
# Global security manager instance
_global_security = SecurityManager()
def get_global_security() -> SecurityManager:
"""Get the global security manager instance."""
return _global_security
def grant(permission: SecurityCapability | str) -> None:
"""Grant a global security permission."""
_global_security.grant(permission)
def revoke(permission: SecurityCapability | str) -> None:
"""Revoke a global security permission."""
_global_security.revoke(permission)
def has(permission: SecurityCapability | str) -> bool:
"""Check if a global permission is granted."""
return _global_security.has(permission)

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"""
Preset pack system for Sideline.
Allows bundling plugins, presets, and configurations into distributable packs
with ASCII art encoding for fun and version control friendly storage.
"""
from sideline.preset_packs.pack_format import PresetPack, PresetPackMetadata
from sideline.preset_packs.manager import PresetPackManager
from sideline.preset_packs.encoder import PresetPackEncoder
__all__ = [
"PresetPack",
"PresetPackMetadata",
"PresetPackManager",
"PresetPackEncoder",
]

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"""
Preset pack encoder with ASCII art compression.
Compresses plugin code and encodes it as ASCII art for fun and version control.
"""
import base64
import zlib
import textwrap
from typing import Tuple
class PresetPackEncoder:
"""Encodes and decodes preset packs with ASCII art compression."""
# ASCII art frame characters
FRAME_TOP_LEFT = ""
FRAME_TOP_RIGHT = ""
FRAME_BOTTOM_LEFT = ""
FRAME_BOTTOM_RIGHT = ""
FRAME_HORIZONTAL = ""
FRAME_VERTICAL = ""
# Data block characters (for visual representation)
DATA_CHARS = " ░▒▓█"
@classmethod
def encode_plugin_code(cls, code: str, name: str = "plugin") -> str:
"""Encode plugin code as ASCII art.
Args:
code: Python source code to encode
name: Plugin name for metadata
Returns:
ASCII art encoded plugin code
"""
# Compress the code
compressed = zlib.compress(code.encode("utf-8"))
# Encode as base64
b64 = base64.b64encode(compressed).decode("ascii")
# Wrap in ASCII art frame
return cls._wrap_in_ascii_art(b64, name)
@classmethod
def decode_plugin_code(cls, ascii_art: str) -> str:
"""Decode ASCII art to plugin code.
Args:
ascii_art: ASCII art encoded plugin code
Returns:
Decoded Python source code
"""
# Extract base64 from ASCII art
b64 = cls._extract_from_ascii_art(ascii_art)
# Decode base64
compressed = base64.b64decode(b64)
# Decompress
code = zlib.decompress(compressed).decode("utf-8")
return code
@classmethod
def _wrap_in_ascii_art(cls, data: str, name: str) -> str:
"""Wrap data in ASCII art frame."""
# Calculate frame width
max_line_length = 60
lines = textwrap.wrap(data, max_line_length)
# Find longest line for frame width
longest_line = max(len(line) for line in lines) if lines else 0
frame_width = longest_line + 4 # 2 padding + 2 borders
# Build ASCII art
result = []
# Top border
result.append(
cls.FRAME_TOP_LEFT
+ cls.FRAME_HORIZONTAL * (frame_width - 2)
+ cls.FRAME_TOP_RIGHT
)
# Plugin name header
name_line = f" {name} "
name_padding = frame_width - 2 - len(name_line)
left_pad = name_padding // 2
right_pad = name_padding - left_pad
result.append(
cls.FRAME_VERTICAL
+ " " * left_pad
+ name_line
+ " " * right_pad
+ cls.FRAME_VERTICAL
)
# Separator line
result.append(
cls.FRAME_VERTICAL
+ cls.FRAME_HORIZONTAL * (frame_width - 2)
+ cls.FRAME_VERTICAL
)
# Data lines
for line in lines:
padding = frame_width - 2 - len(line)
result.append(
cls.FRAME_VERTICAL + line + " " * padding + cls.FRAME_VERTICAL
)
# Bottom border
result.append(
cls.FRAME_BOTTOM_LEFT
+ cls.FRAME_HORIZONTAL * (frame_width - 2)
+ cls.FRAME_BOTTOM_RIGHT
)
return "\n".join(result)
@classmethod
def _extract_from_ascii_art(cls, ascii_art: str) -> str:
"""Extract base64 data from ASCII art frame."""
lines = ascii_art.strip().split("\n")
# Skip top and bottom borders, header, and separator
data_lines = lines[3:-1]
# Extract data from between frame characters
extracted = []
for line in data_lines:
if len(line) > 2:
# Remove frame characters and extract content
content = line[1:-1].rstrip()
extracted.append(content)
return "".join(extracted)
@classmethod
def encode_toml(cls, toml_data: str, name: str = "pack") -> str:
"""Encode TOML data as ASCII art.
Args:
toml_data: TOML configuration data
name: Pack name
Returns:
ASCII art encoded TOML
"""
# Compress
compressed = zlib.compress(toml_data.encode("utf-8"))
# Encode as base64
b64 = base64.b64encode(compressed).decode("ascii")
# Create visual representation using data characters
visual_data = cls._data_to_visual(b64)
return cls._wrap_in_ascii_art(visual_data, name)
@classmethod
def decode_toml(cls, ascii_art: str) -> str:
"""Decode ASCII art to TOML data.
Args:
ascii_art: ASCII art encoded TOML
Returns:
Decoded TOML data
"""
# Extract base64 from ASCII art
b64 = cls._extract_from_ascii_art(ascii_art)
# Decode base64
compressed = base64.b64decode(b64)
# Decompress
toml_data = zlib.decompress(compressed).decode("utf-8")
return toml_data
@classmethod
def _data_to_visual(cls, data: str) -> str:
"""Convert base64 data to visual representation.
This creates a fun visual pattern based on the data.
"""
# Simple mapping: each character to a data block character
# This is purely for visual appeal
visual = ""
for i, char in enumerate(data):
# Use character code to select visual block
idx = ord(char) % len(cls.DATA_CHARS)
visual += cls.DATA_CHARS[idx]
# Add line breaks for visual appeal
if (i + 1) % 60 == 0:
visual += "\n"
return visual
@classmethod
def get_visual_representation(cls, data: str) -> str:
"""Get a visual representation of data for display."""
compressed = zlib.compress(data.encode("utf-8"))
b64 = base64.b64encode(compressed).decode("ascii")
return cls._data_to_visual(b64)

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"""
Preset pack manager for loading, validating, and managing preset packs.
"""
import logging
import os
from typing import Dict, List, Optional
import tomli
from sideline.preset_packs.pack_format import PresetPack, PresetPackMetadata
from sideline.preset_packs.encoder import PresetPackEncoder
from sideline.plugins.compatibility import CompatibilityManager
logger = logging.getLogger(__name__)
class PresetPackManager:
"""Manages preset pack loading and validation."""
def __init__(self, pack_dir: Optional[str] = None):
"""Initialize preset pack manager.
Args:
pack_dir: Directory to search for preset packs
"""
self.pack_dir = pack_dir or os.path.expanduser("~/.config/sideline/packs")
self._packs: Dict[str, PresetPack] = {}
def load_pack(self, pack_path: str) -> Optional[PresetPack]:
"""Load a preset pack from a file.
Args:
pack_path: Path to the preset pack file (.tpack or .toml)
Returns:
Loaded PresetPack or None if failed
"""
try:
with open(pack_path, "rb") as f:
# Try loading as TOML first
if pack_path.endswith(".toml"):
data = tomli.load(f)
pack = PresetPack.from_dict(data)
elif pack_path.endswith(".tpack"):
# Load ASCII art encoded pack
content = f.read().decode("utf-8")
pack = self._load_ascii_pack(content)
else:
logger.error(f"Unknown file format: {pack_path}")
return None
# Validate compatibility
if not CompatibilityManager.validate_compatibility(
pack.metadata.sideline_version
):
error = CompatibilityManager.get_compatibility_error(
pack.metadata.sideline_version
)
logger.warning(f"Pack {pack.metadata.name} incompatible: {error}")
return None
# Store pack
self._packs[pack.metadata.name] = pack
logger.info(
f"Loaded preset pack: {pack.metadata.name} v{pack.metadata.version}"
)
return pack
except Exception as e:
logger.error(f"Failed to load preset pack {pack_path}: {e}")
return None
def _load_ascii_pack(self, content: str) -> PresetPack:
"""Load pack from ASCII art encoded content."""
# Extract TOML from ASCII art
toml_data = PresetPackEncoder.decode_toml(content)
# Parse TOML
import tomli
data = tomli.loads(toml_data)
return PresetPack.from_dict(data)
def load_directory(self, directory: Optional[str] = None) -> List[PresetPack]:
"""Load all preset packs from a directory.
Args:
directory: Directory to search (defaults to pack_dir)
Returns:
List of loaded PresetPack objects
"""
directory = directory or self.pack_dir
if not os.path.exists(directory):
logger.warning(f"Preset pack directory does not exist: {directory}")
return []
loaded = []
for filename in os.listdir(directory):
if filename.endswith((".toml", ".tpack")):
path = os.path.join(directory, filename)
pack = self.load_pack(path)
if pack:
loaded.append(pack)
return loaded
def save_pack(
self, pack: PresetPack, output_path: str, format: str = "toml"
) -> bool:
"""Save a preset pack to a file.
Args:
pack: PresetPack to save
output_path: Path to save the pack
format: Output format ("toml" or "tpack")
Returns:
True if successful, False otherwise
"""
try:
if format == "toml":
import tomli_w
with open(output_path, "w") as f:
tomli_w.dump(pack.to_dict(), f)
elif format == "tpack":
# Encode as ASCII art
toml_data = self._pack_to_toml(pack)
ascii_art = PresetPackEncoder.encode_toml(toml_data, pack.metadata.name)
with open(output_path, "w") as f:
f.write(ascii_art)
else:
logger.error(f"Unknown format: {format}")
return False
logger.info(f"Saved preset pack: {output_path}")
return True
except Exception as e:
logger.error(f"Failed to save preset pack: {e}")
return False
def _pack_to_toml(self, pack: PresetPack) -> str:
"""Convert PresetPack to TOML string."""
import tomli_w
return tomli_w.dumps(pack.to_dict())
def get_pack(self, name: str) -> Optional[PresetPack]:
"""Get a loaded preset pack by name."""
return self._packs.get(name)
def list_packs(self) -> List[str]:
"""List all loaded preset pack names."""
return list(self._packs.keys())
def register_pack_plugins(self, pack: PresetPack):
"""Register all plugins from a preset pack.
Args:
pack: PresetPack containing plugins
"""
from sideline.pipeline import StageRegistry
for plugin_entry in pack.plugins:
try:
# Decode plugin code
code = PresetPackEncoder.decode_plugin_code(plugin_entry.encoded_code)
# Execute plugin code to get the class
local_ns = {}
exec(code, local_ns)
# Find the plugin class (first class defined)
plugin_class = None
for obj in local_ns.values():
if isinstance(obj, type) and hasattr(obj, "metadata"):
plugin_class = obj
break
if plugin_class:
# Register the plugin
StageRegistry.register(plugin_entry.category, plugin_class)
logger.info(f"Registered plugin: {plugin_entry.name}")
else:
logger.warning(f"No plugin class found in {plugin_entry.name}")
except Exception as e:
logger.error(f"Failed to register plugin {plugin_entry.name}: {e}")

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"""
Preset pack format definition.
Defines the structure of preset packs and their TOML-based configuration.
"""
from dataclasses import dataclass, field
from typing import Dict, List, Optional
@dataclass
class PresetPackMetadata:
"""Metadata for a preset pack."""
name: str
version: str
author: str
description: str
sideline_version: str # Compatible Sideline version
created: Optional[str] = None # ISO 8601 timestamp
tags: List[str] = field(default_factory=list)
def to_dict(self) -> Dict:
"""Convert to dictionary for TOML serialization."""
return {
"name": self.name,
"version": self.version,
"author": self.author,
"description": self.description,
"sideline_version": self.sideline_version,
"created": self.created,
"tags": self.tags,
}
@classmethod
def from_dict(cls, data: Dict) -> "PresetPackMetadata":
"""Create from dictionary."""
return cls(
name=data["name"],
version=data["version"],
author=data["author"],
description=data["description"],
sideline_version=data["sideline_version"],
created=data.get("created"),
tags=data.get("tags", []),
)
@dataclass
class PluginEntry:
"""Entry for a plugin in the preset pack."""
name: str
category: str # source, effect, display, camera
encoded_code: str # ASCII art encoded plugin code
permissions: List[str] = field(default_factory=list)
capabilities: List[str] = field(default_factory=list)
def to_dict(self) -> Dict:
"""Convert to dictionary for TOML serialization."""
return {
"name": self.name,
"category": self.category,
"code": self.encoded_code,
"permissions": self.permissions,
"capabilities": self.capabilities,
}
@classmethod
def from_dict(cls, data: Dict) -> "PluginEntry":
"""Create from dictionary."""
return cls(
name=data["name"],
category=data["category"],
encoded_code=data["code"],
permissions=data.get("permissions", []),
capabilities=data.get("capabilities", []),
)
@dataclass
class PresetEntry:
"""Entry for a preset in the preset pack."""
name: str
config: Dict # Preset configuration (TOML-compatible)
def to_dict(self) -> Dict:
"""Convert to dictionary for TOML serialization."""
return {
"name": self.name,
"config": self.config,
}
@classmethod
def from_dict(cls, data: Dict) -> "PresetEntry":
"""Create from dictionary."""
return cls(
name=data["name"],
config=data["config"],
)
@dataclass
class PresetPack:
"""Complete preset pack with metadata, plugins, and presets."""
metadata: PresetPackMetadata
plugins: List[PluginEntry] = field(default_factory=list)
presets: List[PresetEntry] = field(default_factory=list)
def to_dict(self) -> Dict:
"""Convert to dictionary for TOML serialization."""
return {
"pack": self.metadata.to_dict(),
"plugins": [p.to_dict() for p in self.plugins],
"presets": [p.to_dict() for p in self.presets],
}
@classmethod
def from_dict(cls, data: Dict) -> "PresetPack":
"""Create from dictionary."""
return cls(
metadata=PresetPackMetadata.from_dict(data["pack"]),
plugins=[PluginEntry.from_dict(p) for p in data.get("plugins", [])],
presets=[PresetEntry.from_dict(p) for p in data.get("presets", [])],
)

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"""Modern block rendering system - OTF font to terminal half-block conversion.
This module provides the core rendering capabilities for big block letters
and styled text output using PIL fonts and ANSI terminal rendering.
Exports:
- make_block: Render a headline into a content block with color
- big_wrap: Word-wrap text and render with OTF font
- render_line: Render a line of text as terminal rows using half-blocks
- font_for_lang: Get appropriate font for a language
- clear_font_cache: Reset cached font objects
- lr_gradient: Color block characters with left-to-right gradient
- lr_gradient_opposite: Complementary gradient coloring
"""
from sideline.render.blocks import (
big_wrap,
clear_font_cache,
font_for_lang,
list_font_faces,
load_font_face,
make_block,
render_line,
)
from sideline.render.gradient import lr_gradient, lr_gradient_opposite
__all__ = [
"big_wrap",
"clear_font_cache",
"font_for_lang",
"list_font_faces",
"load_font_face",
"lr_gradient",
"lr_gradient_opposite",
"make_block",
"render_line",
]

245
sideline/render/blocks.py Normal file
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"""Block rendering core - Font loading, text rasterization, word-wrap, and headline assembly.
Provides PIL font-based rendering to terminal half-block characters.
"""
import random
import re
from pathlib import Path
from typing import Optional, Tuple
from PIL import Image, ImageDraw, ImageFont
from sideline.fonts import get_default_font_path, get_default_font_size
# ─── FONT LOADING ─────────────────────────────────────────
_FONT_OBJ = None
_FONT_OBJ_KEY = None
_FONT_CACHE = {}
def font():
"""Lazy-load the default Sideline font."""
global _FONT_OBJ, _FONT_OBJ_KEY
try:
font_path = get_default_font_path()
font_size = get_default_font_size()
except FileNotFoundError:
# Fallback to system default if Sideline font not found
return ImageFont.load_default()
key = (font_path, font_size)
if _FONT_OBJ is None or key != _FONT_OBJ_KEY:
try:
_FONT_OBJ = ImageFont.truetype(font_path, font_size)
_FONT_OBJ_KEY = key
except Exception:
# If loading fails, fall back to system default
_FONT_OBJ = ImageFont.load_default()
_FONT_OBJ_KEY = key
return _FONT_OBJ
def clear_font_cache():
"""Reset cached font objects."""
global _FONT_OBJ, _FONT_OBJ_KEY
_FONT_OBJ = None
_FONT_OBJ_KEY = None
def load_font_face(font_path, font_index=0, size=None):
"""Load a specific face from a font file or collection."""
if size is None:
size = get_default_font_size()
return ImageFont.truetype(font_path, size, index=font_index)
def list_font_faces(font_path, max_faces=64):
"""Return discoverable face indexes + display names from a font file."""
faces = []
for idx in range(max_faces):
try:
fnt = load_font_face(font_path, idx)
except Exception:
if idx == 0:
raise
break
family, style = fnt.getname()
display = f"{family} {style}".strip()
if not display:
display = f"{Path(font_path).stem} [{idx}]"
faces.append({"index": idx, "name": display})
return faces
def font_for_lang(lang: Optional[str] = None):
"""Get appropriate font for a language.
Currently uses the default Sideline font for all languages.
Language-specific fonts can be added via the font cache system.
"""
if lang is None:
return font()
if lang not in _FONT_CACHE:
# Try to load language-specific font, fall back to default
try:
# Could add language-specific font logic here
_FONT_CACHE[lang] = font()
except Exception:
_FONT_CACHE[lang] = font()
return _FONT_CACHE[lang]
# ─── RASTERIZATION ────────────────────────────────────────
def render_line(text, fnt=None):
"""Render a line of text as terminal rows using OTF font + half-blocks."""
if fnt is None:
fnt = font()
bbox = fnt.getbbox(text)
if not bbox or bbox[2] <= bbox[0]:
return [""]
pad = 4
img_w = bbox[2] - bbox[0] + pad * 2
img_h = bbox[3] - bbox[1] + pad * 2
img = Image.new("L", (img_w, img_h), 0)
draw = ImageDraw.Draw(img)
draw.text((-bbox[0] + pad, -bbox[1] + pad), text, fill=255, font=fnt)
# Rendering parameters (can be made configurable)
render_h = 6 # Terminal rows per rendered line
ssaa = 2 # Supersampling anti-aliasing factor
pix_h = render_h * 2
hi_h = pix_h * ssaa
scale = hi_h / max(img_h, 1)
new_w_hi = max(1, int(img_w * scale))
img = img.resize((new_w_hi, hi_h), Image.Resampling.LANCZOS)
new_w = max(1, int(new_w_hi / ssaa))
img = img.resize((new_w, pix_h), Image.Resampling.LANCZOS)
data = img.tobytes()
thr = 80
rows = []
for y in range(0, pix_h, 2):
row = []
for x in range(new_w):
top = data[y * new_w + x] > thr
bot = data[(y + 1) * new_w + x] > thr if y + 1 < pix_h else False
if top and bot:
row.append("")
elif top:
row.append("")
elif bot:
row.append("")
else:
row.append(" ")
rows.append("".join(row))
return rows
def big_wrap(text: str, width: int, fnt=None) -> list[str]:
"""Wrap text and render to big block characters."""
if fnt is None:
fnt = font()
text = re.sub(r"\s+", " ", text.upper())
words = text.split()
lines = []
cur = ""
# Get font size for height calculation
try:
font_size = fnt.size if hasattr(fnt, "size") else get_default_font_size()
except Exception:
font_size = get_default_font_size()
render_h = 6 # Terminal rows per rendered line
for word in words:
test = f"{cur} {word}".strip() if cur else word
bbox = fnt.getbbox(test)
if bbox:
img_h = bbox[3] - bbox[1] + 8
pix_h = render_h * 2
scale = pix_h / max(img_h, 1)
term_w = int((bbox[2] - bbox[0] + 8) * scale)
else:
term_w = 0
max_term_w = width - 4 - 4
if term_w > max_term_w and cur:
lines.append(cur)
cur = word
else:
cur = test
if cur:
lines.append(cur)
out = []
for i, ln in enumerate(lines):
out.extend(render_line(ln, fnt))
if i < len(lines) - 1:
out.append("")
return out
# ─── HEADLINE BLOCK ASSEMBLY ─────────────────────────────
def make_block(title: str, src: str, ts: str, w: int) -> Tuple[list[str], str, int]:
"""Render a headline into a content block with color.
Args:
title: Headline text to render
src: Source identifier (for metadata)
ts: Timestamp string (for metadata)
w: Width constraint in terminal characters
Returns:
tuple: (content_lines, color_code, meta_row_index)
- content_lines: List of rendered text lines
- color_code: ANSI color code for display
- meta_row_index: Row index of metadata line
"""
# Use default font for all languages (simplified from original)
lang_font = font()
# Simple uppercase conversion (can be made language-aware later)
title_up = re.sub(r"\s+", " ", title.upper())
# Standardize quotes and dashes
for old, new in [
("\u2019", "'"),
("\u2018", "'"),
("\u201c", '"'),
("\u201d", '"'),
("\u2013", "-"),
("\u2014", "-"),
]:
title_up = title_up.replace(old, new)
big_rows = big_wrap(title_up, w - 4, lang_font)
# Matrix-style color selection
hc = random.choice(
[
"\033[38;5;46m", # matrix green
"\033[38;5;34m", # dark green
"\033[38;5;82m", # lime
"\033[38;5;48m", # sea green
"\033[38;5;37m", # teal
"\033[38;5;44m", # cyan
"\033[38;5;87m", # sky
"\033[38;5;117m", # ice blue
"\033[38;5;250m", # cool white
"\033[38;5;156m", # pale green
"\033[38;5;120m", # mint
"\033[38;5;80m", # dark cyan
"\033[38;5;108m", # grey-green
"\033[38;5;115m", # sage
"\033[1;38;5;46m", # bold green
"\033[1;38;5;250m", # bold white
]
)
content = [" " + r for r in big_rows]
content.append("")
meta = f"\u2591 {src} \u00b7 {ts}"
content.append(" " * max(2, w - len(meta) - 2) + meta)
return content, hc, len(content) - 1 # (rows, color, meta_row_index)

136
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"""Gradient coloring for rendered block characters.
Provides left-to-right and complementary gradient effects for terminal display.
"""
from sideline.terminal import RST
# Left → right: white-hot leading edge fades to near-black
GRAD_COLS = [
"\033[1;38;5;231m", # white
"\033[1;38;5;195m", # pale cyan-white
"\033[38;5;123m", # bright cyan
"\033[38;5;118m", # bright lime
"\033[38;5;82m", # lime
"\033[38;5;46m", # bright green
"\033[38;5;40m", # green
"\033[38;5;34m", # medium green
"\033[38;5;28m", # dark green
"\033[38;5;22m", # deep green
"\033[2;38;5;22m", # dim deep green
"\033[2;38;5;235m", # near black
]
# Complementary sweep for queue messages (opposite hue family from ticker greens)
MSG_GRAD_COLS = [
"\033[1;38;5;231m", # white
"\033[1;38;5;225m", # pale pink-white
"\033[38;5;219m", # bright pink
"\033[38;5;213m", # hot pink
"\033[38;5;207m", # magenta
"\033[38;5;201m", # bright magenta
"\033[38;5;165m", # orchid-red
"\033[38;5;161m", # ruby-magenta
"\033[38;5;125m", # dark magenta
"\033[38;5;89m", # deep maroon-magenta
"\033[2;38;5;89m", # dim deep maroon-magenta
"\033[2;38;5;235m", # near black
]
def lr_gradient(rows, offset=0.0, grad_cols=None):
"""Color each non-space block character with a shifting left-to-right gradient.
Args:
rows: List of text lines with block characters
offset: Gradient offset (0.0-1.0) for animation
grad_cols: List of ANSI color codes (default: GRAD_COLS)
Returns:
List of lines with gradient coloring applied
"""
cols = grad_cols or GRAD_COLS
n = len(cols)
max_x = max((len(r.rstrip()) for r in rows if r.strip()), default=1)
out = []
for row in rows:
if not row.strip():
out.append(row)
continue
buf = []
for x, ch in enumerate(row):
if ch == " ":
buf.append(" ")
else:
shifted = (x / max(max_x - 1, 1) + offset) % 1.0
idx = min(round(shifted * (n - 1)), n - 1)
buf.append(f"{cols[idx]}{ch}{RST}")
out.append("".join(buf))
return out
def lr_gradient_opposite(rows, offset=0.0):
"""Complementary (opposite wheel) gradient used for queue message panels.
Args:
rows: List of text lines with block characters
offset: Gradient offset (0.0-1.0) for animation
Returns:
List of lines with complementary gradient coloring applied
"""
return lr_gradient(rows, offset, MSG_GRAD_COLS)
def msg_gradient(rows, offset):
"""Apply message (ntfy) gradient using theme complementary colors.
Returns colored rows using ACTIVE_THEME.message_gradient if available,
falling back to default magenta if no theme is set.
Args:
rows: List of text strings to colorize
offset: Gradient offset (0.0-1.0) for animation
Returns:
List of rows with ANSI color codes applied
"""
from engine import config
# Check if theme is set and use it
if config.ACTIVE_THEME:
cols = _color_codes_to_ansi(config.ACTIVE_THEME.message_gradient)
else:
# Fallback to default magenta gradient
cols = MSG_GRAD_COLS
return lr_gradient(rows, offset, cols)
def _color_codes_to_ansi(color_codes):
"""Convert a list of 256-color codes to ANSI escape code strings.
Pattern: first 2 are bold, middle 8 are normal, last 2 are dim.
Args:
color_codes: List of 12 integers (256-color palette codes)
Returns:
List of ANSI escape code strings
"""
if not color_codes or len(color_codes) != 12:
# Fallback to default green if invalid
return GRAD_COLS
result = []
for i, code in enumerate(color_codes):
if i < 2:
# Bold for first 2 (bright leading edge)
result.append(f"\033[1;38;5;{code}m")
elif i < 10:
# Normal for middle 8
result.append(f"\033[38;5;{code}m")
else:
# Dim for last 2 (dark trailing edge)
result.append(f"\033[2;38;5;{code}m")
return result

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"""
Sensor framework - PureData-style real-time input system.
Sensors are data sources that emit values over time, similar to how
PureData objects emit signals. Effects can bind to sensors to modulate
their parameters dynamically.
Architecture:
- Sensor: Base class for all sensors (mic, camera, ntfy, OSC, etc.)
- SensorRegistry: Global registry for sensor discovery
- SensorStage: Pipeline stage wrapper for sensors
- Effect param_bindings: Declarative sensor-to-param routing
Example:
class GlitchEffect(EffectPlugin):
param_bindings = {
"intensity": {"sensor": "mic", "transform": "linear"},
}
This binds the mic sensor to the glitch intensity parameter.
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from sideline.pipeline.core import PipelineContext
@dataclass
class SensorValue:
"""A sensor reading with metadata."""
sensor_name: str
value: float
timestamp: float
unit: str = ""
class Sensor(ABC):
"""Abstract base class for sensors.
Sensors are real-time data sources that emit values. They can be:
- Physical: mic, camera, joystick, MIDI, OSC
- Virtual: ntfy, timer, random, noise
Each sensor has a name and emits SensorValue objects.
"""
name: str
unit: str = ""
@property
def available(self) -> bool:
"""Whether the sensor is currently available."""
return True
@abstractmethod
def read(self) -> SensorValue | None:
"""Read current sensor value.
Returns:
SensorValue if available, None if sensor is not ready.
"""
...
@abstractmethod
def start(self) -> bool:
"""Start the sensor.
Returns:
True if started successfully.
"""
...
@abstractmethod
def stop(self) -> None:
"""Stop the sensor and release resources."""
...
class SensorRegistry:
"""Global registry for sensors.
Provides:
- Registration of sensor instances
- Lookup by name
- Global start/stop
"""
_sensors: dict[str, Sensor] = {}
_started: bool = False
@classmethod
def register(cls, sensor: Sensor) -> None:
"""Register a sensor instance."""
cls._sensors[sensor.name] = sensor
@classmethod
def get(cls, name: str) -> Sensor | None:
"""Get a sensor by name."""
return cls._sensors.get(name)
@classmethod
def list_sensors(cls) -> list[str]:
"""List all registered sensor names."""
return list(cls._sensors.keys())
@classmethod
def start_all(cls) -> bool:
"""Start all sensors.
Returns:
True if all sensors started successfully.
"""
if cls._started:
return True
all_started = True
for sensor in cls._sensors.values():
if sensor.available and not sensor.start():
all_started = False
cls._started = all_started
return all_started
@classmethod
def stop_all(cls) -> None:
"""Stop all sensors."""
for sensor in cls._sensors.values():
sensor.stop()
cls._started = False
@classmethod
def read_all(cls) -> dict[str, float]:
"""Read all sensor values.
Returns:
Dict mapping sensor name to current value.
"""
result = {}
for name, sensor in cls._sensors.items():
value = sensor.read()
if value:
result[name] = value.value
return result
class SensorStage:
"""Pipeline stage wrapper for sensors.
Provides sensor data to the pipeline context.
Sensors don't transform data - they inject sensor values into context.
"""
def __init__(self, sensor: Sensor, name: str | None = None):
self._sensor = sensor
self.name = name or sensor.name
self.category = "sensor"
self.optional = True
@property
def stage_type(self) -> str:
return "sensor"
@property
def inlet_types(self) -> set:
from sideline.pipeline.core import DataType
return {DataType.ANY}
@property
def outlet_types(self) -> set:
from sideline.pipeline.core import DataType
return {DataType.ANY}
@property
def capabilities(self) -> set[str]:
return {f"sensor.{self.name}"}
@property
def dependencies(self) -> set[str]:
return set()
def init(self, ctx: "PipelineContext") -> bool:
return self._sensor.start()
def process(self, data: Any, ctx: "PipelineContext") -> Any:
value = self._sensor.read()
if value:
ctx.set_state(f"sensor.{self.name}", value.value)
ctx.set_state(f"sensor.{self.name}.full", value)
return data
def cleanup(self) -> None:
self._sensor.stop()
def create_sensor_stage(sensor: Sensor, name: str | None = None) -> SensorStage:
"""Create a pipeline stage from a sensor."""
return SensorStage(sensor, name)

145
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"""
Mic sensor - audio input as a pipeline sensor.
Self-contained implementation that handles audio input directly,
with graceful degradation if sounddevice is unavailable.
"""
import atexit
import time
from collections.abc import Callable
from dataclasses import dataclass
from datetime import datetime
from typing import Any
try:
import numpy as np
import sounddevice as sd
_HAS_AUDIO = True
except Exception:
np = None # type: ignore
sd = None # type: ignore
_HAS_AUDIO = False
from sideline.events import MicLevelEvent
from sideline.sensors import Sensor, SensorRegistry, SensorValue
@dataclass
class AudioConfig:
"""Configuration for audio input."""
threshold_db: float = 50.0
sample_rate: float = 44100.0
block_size: int = 1024
class MicSensor(Sensor):
"""Microphone sensor for pipeline integration.
Self-contained implementation with graceful degradation.
No external dependencies required - works with or without sounddevice.
"""
def __init__(self, threshold_db: float = 50.0, name: str = "mic"):
self.name = name
self.unit = "dB"
self._config = AudioConfig(threshold_db=threshold_db)
self._db: float = -99.0
self._stream: Any = None
self._subscribers: list[Callable[[MicLevelEvent], None]] = []
@property
def available(self) -> bool:
"""Check if audio input is available."""
return _HAS_AUDIO and self._stream is not None
def start(self) -> bool:
"""Start the microphone stream."""
if not _HAS_AUDIO or sd is None:
return False
try:
self._stream = sd.InputStream(
samplerate=self._config.sample_rate,
blocksize=self._config.block_size,
channels=1,
callback=self._audio_callback,
)
self._stream.start()
atexit.register(self.stop)
return True
except Exception:
return False
def stop(self) -> None:
"""Stop the microphone stream."""
if self._stream:
try:
self._stream.stop()
self._stream.close()
except Exception:
pass
self._stream = None
def _audio_callback(self, indata, frames, time_info, status) -> None:
"""Process audio data from sounddevice."""
if not _HAS_AUDIO or np is None:
return
rms = np.sqrt(np.mean(indata**2))
if rms > 0:
db = 20 * np.log10(rms)
else:
db = -99.0
self._db = db
excess = max(0.0, db - self._config.threshold_db)
event = MicLevelEvent(
db_level=db, excess_above_threshold=excess, timestamp=datetime.now()
)
self._emit(event)
def _emit(self, event: MicLevelEvent) -> None:
"""Emit event to all subscribers."""
for callback in self._subscribers:
try:
callback(event)
except Exception:
pass
def subscribe(self, callback: Callable[[MicLevelEvent], None]) -> None:
"""Subscribe to mic level events."""
if callback not in self._subscribers:
self._subscribers.append(callback)
def unsubscribe(self, callback: Callable[[MicLevelEvent], None]) -> None:
"""Unsubscribe from mic level events."""
if callback in self._subscribers:
self._subscribers.remove(callback)
def read(self) -> SensorValue | None:
"""Read current mic level as sensor value."""
if not self.available:
return None
excess = max(0.0, self._db - self._config.threshold_db)
return SensorValue(
sensor_name=self.name,
value=excess,
timestamp=time.time(),
unit=self.unit,
)
def register_mic_sensor() -> None:
"""Register the mic sensor with the global registry."""
sensor = MicSensor()
SensorRegistry.register(sensor)
# Auto-register when imported
register_mic_sensor()

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"""
Oscillator sensor - Modular synth-style oscillator as a pipeline sensor.
Provides various waveforms that can be:
1. Self-driving (phase accumulates over time)
2. Sensor-driven (phase modulated by external sensor)
Built-in waveforms:
- sine: Pure sine wave
- square: Square wave (0 to 1)
- sawtooth: Rising sawtooth (0 to 1, wraps)
- triangle: Triangle wave (0 to 1 to 0)
- noise: Random values (0 to 1)
Example usage:
osc = OscillatorSensor(waveform="sine", frequency=0.5)
# Or driven by mic sensor:
osc = OscillatorSensor(waveform="sine", frequency=1.0, input_sensor="mic")
"""
import math
import random
import time
from enum import Enum
from sideline.sensors import Sensor, SensorRegistry, SensorValue
class Waveform(Enum):
"""Built-in oscillator waveforms."""
SINE = "sine"
SQUARE = "square"
SAWTOOTH = "sawtooth"
TRIANGLE = "triangle"
NOISE = "noise"
class OscillatorSensor(Sensor):
"""Oscillator sensor that generates periodic or random values.
Can run in two modes:
- Self-driving: phase accumulates based on frequency
- Sensor-driven: phase modulated by external sensor value
"""
WAVEFORMS = {
"sine": lambda p: (math.sin(2 * math.pi * p) + 1) / 2,
"square": lambda p: 1.0 if (p % 1.0) < 0.5 else 0.0,
"sawtooth": lambda p: p % 1.0,
"triangle": lambda p: 2 * abs(2 * (p % 1.0) - 1) - 1,
"noise": lambda _: random.random(),
}
def __init__(
self,
name: str = "osc",
waveform: str = "sine",
frequency: float = 1.0,
input_sensor: str | None = None,
input_scale: float = 1.0,
):
"""Initialize oscillator sensor.
Args:
name: Sensor name
waveform: Waveform type (sine, square, sawtooth, triangle, noise)
frequency: Frequency in Hz (self-driving mode)
input_sensor: Optional sensor name to drive phase
input_scale: Scale factor for input sensor
"""
self.name = name
self.unit = ""
self._waveform = waveform
self._frequency = frequency
self._input_sensor = input_sensor
self._input_scale = input_scale
self._phase = 0.0
self._start_time = time.time()
@property
def available(self) -> bool:
return True
@property
def waveform(self) -> str:
return self._waveform
@waveform.setter
def waveform(self, value: str) -> None:
if value not in self.WAVEFORMS:
raise ValueError(f"Unknown waveform: {value}")
self._waveform = value
@property
def frequency(self) -> float:
return self._frequency
@frequency.setter
def frequency(self, value: float) -> None:
self._frequency = max(0.0, value)
def start(self) -> bool:
self._phase = 0.0
self._start_time = time.time()
return True
def stop(self) -> None:
pass
def _get_input_value(self) -> float:
"""Get value from input sensor if configured."""
if self._input_sensor:
from sideline.sensors import SensorRegistry
sensor = SensorRegistry.get(self._input_sensor)
if sensor:
reading = sensor.read()
if reading:
return reading.value * self._input_scale
return 0.0
def read(self) -> SensorValue | None:
current_time = time.time()
elapsed = current_time - self._start_time
if self._input_sensor:
input_val = self._get_input_value()
phase_increment = (self._frequency * elapsed) + input_val
else:
phase_increment = self._frequency * elapsed
self._phase += phase_increment
waveform_fn = self.WAVEFORMS.get(self._waveform)
if waveform_fn is None:
return None
value = waveform_fn(self._phase)
value = max(0.0, min(1.0, value))
return SensorValue(
sensor_name=self.name,
value=value,
timestamp=current_time,
unit=self.unit,
)
def set_waveform(self, waveform: str) -> None:
"""Change waveform at runtime."""
self.waveform = waveform
def set_frequency(self, frequency: float) -> None:
"""Change frequency at runtime."""
self.frequency = frequency
def register_oscillator_sensor(name: str = "osc", **kwargs) -> None:
"""Register an oscillator sensor with the global registry."""
sensor = OscillatorSensor(name=name, **kwargs)
SensorRegistry.register(sensor)

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"""
Pipeline metrics sensor - Exposes pipeline performance data as sensor values.
This sensor reads metrics from a Pipeline instance and provides them
as sensor values that can drive effect parameters.
Example:
sensor = PipelineMetricsSensor(pipeline)
sensor.read() # Returns SensorValue with total_ms, fps, etc.
"""
from typing import TYPE_CHECKING
from sideline.sensors import Sensor, SensorValue
if TYPE_CHECKING:
from sideline.pipeline.controller import Pipeline
class PipelineMetricsSensor(Sensor):
"""Sensor that reads metrics from a Pipeline instance.
Provides real-time performance data:
- total_ms: Total frame time in milliseconds
- fps: Calculated frames per second
- stage_timings: Dict of stage name -> duration_ms
Can be bound to effect parameters for reactive visuals.
"""
def __init__(self, pipeline: "Pipeline | None" = None, name: str = "pipeline"):
self._pipeline = pipeline
self.name = name
self.unit = "ms"
self._last_values: dict[str, float] = {
"total_ms": 0.0,
"fps": 0.0,
"avg_ms": 0.0,
"min_ms": 0.0,
"max_ms": 0.0,
}
@property
def available(self) -> bool:
return self._pipeline is not None
def set_pipeline(self, pipeline: "Pipeline") -> None:
"""Set or update the pipeline to read metrics from."""
self._pipeline = pipeline
def read(self) -> SensorValue | None:
"""Read current metrics from the pipeline."""
if not self._pipeline:
return None
try:
metrics = self._pipeline.get_metrics_summary()
except Exception:
return None
if not metrics or "error" in metrics:
return None
self._last_values["total_ms"] = metrics.get("total_ms", 0.0)
self._last_values["fps"] = metrics.get("fps", 0.0)
self._last_values["avg_ms"] = metrics.get("avg_ms", 0.0)
self._last_values["min_ms"] = metrics.get("min_ms", 0.0)
self._last_values["max_ms"] = metrics.get("max_ms", 0.0)
# Provide total_ms as primary value (for LFO-style effects)
return SensorValue(
sensor_name=self.name,
value=self._last_values["total_ms"],
timestamp=0.0,
unit=self.unit,
)
def get_stage_timing(self, stage_name: str) -> float:
"""Get timing for a specific stage."""
if not self._pipeline:
return 0.0
try:
metrics = self._pipeline.get_metrics_summary()
stages = metrics.get("stages", {})
return stages.get(stage_name, {}).get("avg_ms", 0.0)
except Exception:
return 0.0
def get_all_timings(self) -> dict[str, float]:
"""Get all stage timings as a dict."""
if not self._pipeline:
return {}
try:
metrics = self._pipeline.get_metrics_summary()
return metrics.get("stages", {})
except Exception:
return {}
def get_frame_history(self) -> list[float]:
"""Get historical frame times for sparklines."""
if not self._pipeline:
return []
try:
return self._pipeline.get_frame_times()
except Exception:
return []
def start(self) -> bool:
"""Start the sensor (no-op for read-only metrics)."""
return True
def stop(self) -> None:
"""Stop the sensor (no-op for read-only metrics)."""
pass

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"""
ANSI escape codes and terminal control constants.
Provides standard ANSI escape sequences for terminal manipulation.
This module belongs in Sideline as it's a framework-level concern.
"""
# ─── ANSI RESET ──────────────────────────────────────────
RST = "\033[0m"
# ─── TEXT STYLES ─────────────────────────────────────────
BOLD = "\033[1m"
DIM = "\033[2m"
UNDERLINE = "\033[4m"
REVERSE = "\033[7m"
# ─── MATRIX GREENS (Sideline default theme) ─────────────
G_HI = "\033[38;5;46m" # Bright green
G_MID = "\033[38;5;34m" # Medium green
G_LO = "\033[38;5;22m" # Dark green
G_DIM = "\033[2;38;5;34m" # Dim green
# ─── COOL TONES ──────────────────────────────────────────
W_COOL = "\033[38;5;250m" # Cool white
W_DIM = "\033[2;38;5;245m" # Dim white
W_GHOST = "\033[2;38;5;238m" # Ghost white
C_DIM = "\033[2;38;5;37m" # Dim cyan
# ─── TERMINAL CONTROL ────────────────────────────────────
CLR = "\033[2J\033[H" # Clear screen and home cursor
CURSOR_OFF = "\033[?25l" # Hide cursor
CURSOR_ON = "\033[?25h" # Show cursor
# ─── CURSOR POSITIONING ──────────────────────────────────
def cursor_pos(row: int, col: int) -> str:
"""Move cursor to position (row, col)."""
return f"\033[{row};{col}H"
# ─── COLOR UTILITIES ─────────────────────────────────────
def fg_color(code: int) -> str:
"""Set foreground color (0-255)."""
return f"\033[38;5;{code}m"
def bg_color(code: int) -> str:
"""Set background color (0-255)."""
return f"\033[48;5;{code}m"
# ─── COMMON COLORS ───────────────────────────────────────
BLACK = "\033[30m"
RED = "\033[31m"
GREEN = "\033[32m"
YELLOW = "\033[33m"
BLUE = "\033[34m"
MAGENTA = "\033[35m"
CYAN = "\033[36m"
WHITE = "\033[37m"
# ─── BRIGHT COLORS ───────────────────────────────────────
BRIGHT_BLACK = "\033[90m"
BRIGHT_RED = "\033[91m"
BRIGHT_GREEN = "\033[92m"
BRIGHT_YELLOW = "\033[93m"
BRIGHT_BLUE = "\033[94m"
BRIGHT_MAGENTA = "\033[95m"
BRIGHT_CYAN = "\033[96m"
BRIGHT_WHITE = "\033[97m"
__all__ = [
"RST",
"BOLD",
"DIM",
"UNDERLINE",
"REVERSE",
"G_HI",
"G_MID",
"G_LO",
"G_DIM",
"W_COOL",
"W_DIM",
"W_GHOST",
"C_DIM",
"CLR",
"CURSOR_OFF",
"CURSOR_ON",
"cursor_pos",
"fg_color",
"bg_color",
"BLACK",
"RED",
"GREEN",
"YELLOW",
"BLUE",
"MAGENTA",
"CYAN",
"WHITE",
"BRIGHT_BLACK",
"BRIGHT_RED",
"BRIGHT_GREEN",
"BRIGHT_YELLOW",
"BRIGHT_BLUE",
"BRIGHT_MAGENTA",
"BRIGHT_CYAN",
"BRIGHT_WHITE",
]

489
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"""Frame capture utilities for upstream vs sideline comparison.
This module provides functions to capture frames from both upstream and sideline
implementations for visual comparison and performance analysis.
"""
import json
import time
from pathlib import Path
from typing import Any, Dict, List, Tuple
import tomli
from engine.pipeline import Pipeline, PipelineConfig, PipelineContext
from engine.pipeline.params import PipelineParams
def load_comparison_preset(preset_name: str) -> Any:
"""Load a comparison preset from comparison_presets.toml.
Args:
preset_name: Name of the preset to load
Returns:
Preset configuration dictionary
"""
presets_file = Path("tests/comparison_presets.toml")
if not presets_file.exists():
raise FileNotFoundError(f"Comparison presets file not found: {presets_file}")
with open(presets_file, "rb") as f:
config = tomli.load(f)
presets = config.get("presets", {})
full_name = (
f"presets.{preset_name}"
if not preset_name.startswith("presets.")
else preset_name
)
simple_name = (
preset_name.replace("presets.", "")
if preset_name.startswith("presets.")
else preset_name
)
if full_name in presets:
return presets[full_name]
elif simple_name in presets:
return presets[simple_name]
else:
raise ValueError(
f"Preset '{preset_name}' not found in {presets_file}. Available: {list(presets.keys())}"
)
def capture_frames(
preset_name: str,
frame_count: int = 30,
output_dir: Path = Path("tests/comparison_output"),
) -> Dict[str, Any]:
"""Capture frames from sideline pipeline using a preset.
Args:
preset_name: Name of preset to use
frame_count: Number of frames to capture
output_dir: Directory to save captured frames
Returns:
Dictionary with captured frames and metadata
"""
from engine.pipeline.presets import get_preset
output_dir.mkdir(parents=True, exist_ok=True)
# Load preset - try comparison presets first, then built-in presets
try:
preset = load_comparison_preset(preset_name)
# Convert dict to object-like access
from types import SimpleNamespace
preset = SimpleNamespace(**preset)
except (FileNotFoundError, ValueError):
# Fall back to built-in presets
preset = get_preset(preset_name)
if not preset:
raise ValueError(
f"Preset '{preset_name}' not found in comparison or built-in presets"
)
# Create pipeline config from preset
config = PipelineConfig(
source=preset.source,
display="null", # Always use null display for capture
camera=preset.camera,
effects=preset.effects,
)
# Create pipeline
ctx = PipelineContext()
ctx.terminal_width = preset.viewport_width
ctx.terminal_height = preset.viewport_height
pipeline = Pipeline(config=config, context=ctx)
# Create params
params = PipelineParams(
viewport_width=preset.viewport_width,
viewport_height=preset.viewport_height,
)
ctx.params = params
# Add stages based on source type (similar to pipeline_runner)
from engine.display import DisplayRegistry
from engine.pipeline.adapters import create_stage_from_display
from engine.data_sources.sources import EmptyDataSource
from engine.pipeline.adapters import DataSourceStage
# Add source stage
if preset.source == "empty":
source_stage = DataSourceStage(
EmptyDataSource(width=preset.viewport_width, height=preset.viewport_height),
name="empty",
)
else:
# For headlines/poetry, use the actual source
from engine.data_sources.sources import HeadlinesDataSource, PoetryDataSource
if preset.source == "headlines":
source_stage = DataSourceStage(HeadlinesDataSource(), name="headlines")
elif preset.source == "poetry":
source_stage = DataSourceStage(PoetryDataSource(), name="poetry")
else:
# Fallback to empty
source_stage = DataSourceStage(
EmptyDataSource(
width=preset.viewport_width, height=preset.viewport_height
),
name="empty",
)
pipeline.add_stage("source", source_stage)
# Add font stage for headlines/poetry (with viewport filter)
if preset.source in ["headlines", "poetry"]:
from engine.pipeline.adapters import FontStage, ViewportFilterStage
# Add viewport filter to prevent rendering all items
pipeline.add_stage(
"viewport_filter", ViewportFilterStage(name="viewport-filter")
)
# Add font stage for block character rendering
pipeline.add_stage("font", FontStage(name="font"))
else:
# Fallback to simple conversion for empty/other sources
from engine.pipeline.adapters import SourceItemsToBufferStage
pipeline.add_stage("render", SourceItemsToBufferStage(name="items-to-buffer"))
# Add camera stage
from engine.camera import Camera
from engine.pipeline.adapters import CameraStage, CameraClockStage
# Create camera based on preset
if preset.camera == "feed":
camera = Camera.feed()
elif preset.camera == "scroll":
camera = Camera.scroll(speed=0.1)
elif preset.camera == "horizontal":
camera = Camera.horizontal(speed=0.1)
else:
camera = Camera.feed()
camera.set_canvas_size(preset.viewport_width, preset.viewport_height * 2)
# Add camera update (for animation)
pipeline.add_stage("camera_update", CameraClockStage(camera, name="camera-clock"))
# Add camera stage
pipeline.add_stage("camera", CameraStage(camera, name=preset.camera))
# Add effects
if preset.effects:
from engine.effects.registry import EffectRegistry
from engine.pipeline.adapters import create_stage_from_effect
effect_registry = EffectRegistry()
for effect_name in preset.effects:
effect = effect_registry.get(effect_name)
if effect:
pipeline.add_stage(
f"effect_{effect_name}",
create_stage_from_effect(effect, effect_name),
)
# Add message overlay stage if enabled (BEFORE display)
if getattr(preset, "enable_message_overlay", False):
from engine.pipeline.adapters import MessageOverlayConfig, MessageOverlayStage
overlay_config = MessageOverlayConfig(
enabled=True,
display_secs=30,
)
pipeline.add_stage(
"message_overlay", MessageOverlayStage(config=overlay_config)
)
# Add null display stage (LAST)
null_display = DisplayRegistry.create("null")
if null_display:
pipeline.add_stage("display", create_stage_from_display(null_display, "null"))
# Build pipeline
pipeline.build()
# Enable recording on null display if available
display_stage = pipeline._stages.get("display")
if display_stage and hasattr(display_stage, "_display"):
backend = display_stage._display
if hasattr(backend, "start_recording"):
backend.start_recording()
# Capture frames
frames = []
start_time = time.time()
for i in range(frame_count):
frame_start = time.time()
stage_result = pipeline.execute()
frame_time = time.time() - frame_start
# Get frames from display recording
display_stage = pipeline._stages.get("display")
if display_stage and hasattr(display_stage, "_display"):
backend = display_stage._display
if hasattr(backend, "get_recorded_data"):
recorded_frames = backend.get_recorded_data()
# Add render_time_ms to each frame
for frame in recorded_frames:
frame["render_time_ms"] = frame_time * 1000
frames = recorded_frames
# Fallback: create empty frames if no recording
if not frames:
for i in range(frame_count):
frames.append(
{
"frame_number": i,
"buffer": [],
"width": preset.viewport_width,
"height": preset.viewport_height,
"render_time_ms": frame_time * 1000,
}
)
# Stop recording on null display
display_stage = pipeline._stages.get("display")
if display_stage and hasattr(display_stage, "_display"):
backend = display_stage._display
if hasattr(backend, "stop_recording"):
backend.stop_recording()
total_time = time.time() - start_time
# Save captured data
output_file = output_dir / f"{preset_name}_sideline.json"
captured_data = {
"preset": preset_name,
"config": {
"source": preset.source,
"camera": preset.camera,
"effects": preset.effects,
"viewport_width": preset.viewport_width,
"viewport_height": preset.viewport_height,
"enable_message_overlay": getattr(preset, "enable_message_overlay", False),
},
"capture_stats": {
"frame_count": frame_count,
"total_time_ms": total_time * 1000,
"avg_frame_time_ms": (total_time * 1000) / frame_count,
"fps": frame_count / total_time if total_time > 0 else 0,
},
"frames": frames,
}
with open(output_file, "w") as f:
json.dump(captured_data, f, indent=2)
return captured_data
def compare_captured_outputs(
sideline_file: Path,
upstream_file: Path,
output_dir: Path = Path("tests/comparison_output"),
) -> Dict[str, Any]:
"""Compare captured outputs from sideline and upstream.
Args:
sideline_file: Path to sideline captured output
upstream_file: Path to upstream captured output
output_dir: Directory to save comparison results
Returns:
Dictionary with comparison results
"""
output_dir.mkdir(parents=True, exist_ok=True)
# Load captured data
with open(sideline_file) as f:
sideline_data = json.load(f)
with open(upstream_file) as f:
upstream_data = json.load(f)
# Compare configurations
config_diff = {}
for key in [
"source",
"camera",
"effects",
"viewport_width",
"viewport_height",
"enable_message_overlay",
]:
sideline_val = sideline_data["config"].get(key)
upstream_val = upstream_data["config"].get(key)
if sideline_val != upstream_val:
config_diff[key] = {"sideline": sideline_val, "upstream": upstream_val}
# Compare frame counts
sideline_frames = len(sideline_data["frames"])
upstream_frames = len(upstream_data["frames"])
frame_count_match = sideline_frames == upstream_frames
# Compare individual frames
frame_comparisons = []
total_diff = 0
max_diff = 0
identical_frames = 0
min_frames = min(sideline_frames, upstream_frames)
for i in range(min_frames):
sideline_frame = sideline_data["frames"][i]
upstream_frame = upstream_data["frames"][i]
sideline_buffer = sideline_frame["buffer"]
upstream_buffer = upstream_frame["buffer"]
# Compare buffers line by line
line_diffs = []
frame_diff = 0
max_lines = max(len(sideline_buffer), len(upstream_buffer))
for line_idx in range(max_lines):
sideline_line = (
sideline_buffer[line_idx] if line_idx < len(sideline_buffer) else ""
)
upstream_line = (
upstream_buffer[line_idx] if line_idx < len(upstream_buffer) else ""
)
if sideline_line != upstream_line:
line_diffs.append(
{
"line": line_idx,
"sideline": sideline_line,
"upstream": upstream_line,
}
)
frame_diff += 1
if frame_diff == 0:
identical_frames += 1
total_diff += frame_diff
max_diff = max(max_diff, frame_diff)
frame_comparisons.append(
{
"frame_number": i,
"differences": frame_diff,
"line_diffs": line_diffs[
:5
], # Only store first 5 differences per frame
"render_time_diff_ms": sideline_frame.get("render_time_ms", 0)
- upstream_frame.get("render_time_ms", 0),
}
)
# Calculate statistics
stats = {
"total_frames_compared": min_frames,
"identical_frames": identical_frames,
"frames_with_differences": min_frames - identical_frames,
"total_differences": total_diff,
"max_differences_per_frame": max_diff,
"avg_differences_per_frame": total_diff / min_frames if min_frames > 0 else 0,
"match_percentage": (identical_frames / min_frames * 100)
if min_frames > 0
else 0,
}
# Compare performance stats
sideline_stats = sideline_data.get("capture_stats", {})
upstream_stats = upstream_data.get("capture_stats", {})
performance_comparison = {
"sideline": {
"total_time_ms": sideline_stats.get("total_time_ms", 0),
"avg_frame_time_ms": sideline_stats.get("avg_frame_time_ms", 0),
"fps": sideline_stats.get("fps", 0),
},
"upstream": {
"total_time_ms": upstream_stats.get("total_time_ms", 0),
"avg_frame_time_ms": upstream_stats.get("avg_frame_time_ms", 0),
"fps": upstream_stats.get("fps", 0),
},
"diff": {
"total_time_ms": sideline_stats.get("total_time_ms", 0)
- upstream_stats.get("total_time_ms", 0),
"avg_frame_time_ms": sideline_stats.get("avg_frame_time_ms", 0)
- upstream_stats.get("avg_frame_time_ms", 0),
"fps": sideline_stats.get("fps", 0) - upstream_stats.get("fps", 0),
},
}
# Build comparison result
result = {
"preset": sideline_data["preset"],
"config_diff": config_diff,
"frame_count_match": frame_count_match,
"stats": stats,
"performance_comparison": performance_comparison,
"frame_comparisons": frame_comparisons,
"sideline_file": str(sideline_file),
"upstream_file": str(upstream_file),
}
# Save comparison result
output_file = output_dir / f"{sideline_data['preset']}_comparison.json"
with open(output_file, "w") as f:
json.dump(result, f, indent=2)
return result
def generate_html_report(
comparison_results: List[Dict[str, Any]],
output_dir: Path = Path("tests/comparison_output"),
) -> Path:
"""Generate HTML report from comparison results using acceptance_report.py.
Args:
comparison_results: List of comparison results
output_dir: Directory to save HTML report
Returns:
Path to generated HTML report
"""
from tests.acceptance_report import save_index_report
output_dir.mkdir(parents=True, exist_ok=True)
# Generate index report with links to all comparison results
reports = []
for result in comparison_results:
reports.append(
{
"test_name": f"comparison-{result['preset']}",
"status": "PASS" if result.get("status") == "success" else "FAIL",
"frame_count": result["stats"]["total_frames_compared"],
"duration_ms": result["performance_comparison"]["sideline"][
"total_time_ms"
],
}
)
# Save index report
index_file = save_index_report(reports, str(output_dir))
# Also save a summary JSON file for programmatic access
summary_file = output_dir / "comparison_summary.json"
with open(summary_file, "w") as f:
json.dump(
{
"timestamp": __import__("datetime").datetime.now().isoformat(),
"results": comparison_results,
},
f,
indent=2,
)
return Path(index_file)

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# Comparison Presets for Upstream vs Sideline Testing
# These presets are designed to test various pipeline configurations
# to ensure visual equivalence and performance parity
# ============================================
# CORE PIPELINE TESTS (Basic functionality)
# ============================================
[presets.comparison-basic]
description = "Comparison: Basic pipeline, no effects"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-with-message-overlay]
description = "Comparison: Basic pipeline with message overlay"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
frame_count = 30
# ============================================
# EFFECT TESTS (Various effect combinations)
# ============================================
[presets.comparison-single-effect]
description = "Comparison: Single effect (border)"
source = "headlines"
display = "null"
camera = "feed"
effects = ["border"]
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-multiple-effects]
description = "Comparison: Multiple effects chain"
source = "headlines"
display = "null"
camera = "feed"
effects = ["border", "tint", "hud"]
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-all-effects]
description = "Comparison: All available effects"
source = "headlines"
display = "null"
camera = "feed"
effects = ["border", "tint", "hud", "fade", "noise", "glitch"]
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
# ============================================
# CAMERA MODE TESTS (Different viewport behaviors)
# ============================================
[presets.comparison-camera-feed]
description = "Comparison: Feed camera mode"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-camera-scroll]
description = "Comparison: Scroll camera mode"
source = "headlines"
display = "null"
camera = "scroll"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
camera_speed = 0.5
[presets.comparison-camera-horizontal]
description = "Comparison: Horizontal camera mode"
source = "headlines"
display = "null"
camera = "horizontal"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
# ============================================
# SOURCE TESTS (Different data sources)
# ============================================
[presets.comparison-source-headlines]
description = "Comparison: Headlines source"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-source-poetry]
description = "Comparison: Poetry source"
source = "poetry"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-source-empty]
description = "Comparison: Empty source (blank canvas)"
source = "empty"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
# ============================================
# DIMENSION TESTS (Different viewport sizes)
# ============================================
[presets.comparison-small-viewport]
description = "Comparison: Small viewport"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 60
viewport_height = 20
enable_message_overlay = false
frame_count = 30
[presets.comparison-large-viewport]
description = "Comparison: Large viewport"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 120
viewport_height = 40
enable_message_overlay = false
frame_count = 30
[presets.comparison-wide-viewport]
description = "Comparison: Wide viewport"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 160
viewport_height = 24
enable_message_overlay = false
frame_count = 30
# ============================================
# COMPREHENSIVE TESTS (Combined scenarios)
# ============================================
[presets.comparison-comprehensive-1]
description = "Comparison: Headlines + Effects + Message Overlay"
source = "headlines"
display = "null"
camera = "feed"
effects = ["border", "tint"]
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
frame_count = 30
[presets.comparison-comprehensive-2]
description = "Comparison: Poetry + Camera Scroll + Effects"
source = "poetry"
display = "null"
camera = "scroll"
effects = ["fade", "noise"]
viewport_width = 80
viewport_height = 24
enable_message_overlay = false
frame_count = 30
camera_speed = 0.3
[presets.comparison-comprehensive-3]
description = "Comparison: Headlines + Horizontal Camera + All Effects"
source = "headlines"
display = "null"
camera = "horizontal"
effects = ["border", "tint", "hud", "fade"]
viewport_width = 100
viewport_height = 30
enable_message_overlay = true
frame_count = 30
# ============================================
# REGRESSION TESTS (Specific edge cases)
# ============================================
[presets.comparison-regression-empty-message]
description = "Regression: Empty message overlay"
source = "empty"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 24
enable_message_overlay = true
frame_count = 30
[presets.comparison-regression-narrow-viewport]
description = "Regression: Very narrow viewport with long text"
source = "headlines"
display = "null"
camera = "feed"
effects = []
viewport_width = 40
viewport_height = 24
enable_message_overlay = false
frame_count = 30
[presets.comparison-regression-tall-viewport]
description = "Regression: Tall viewport with few items"
source = "empty"
display = "null"
camera = "feed"
effects = []
viewport_width = 80
viewport_height = 60
enable_message_overlay = false
frame_count = 30

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"""Main comparison runner for upstream vs sideline testing.
This script runs comparisons between upstream and sideline implementations
using multiple presets and generates HTML reports.
"""
import argparse
import json
import sys
from pathlib import Path
from tests.comparison_capture import (
capture_frames,
compare_captured_outputs,
generate_html_report,
)
def load_comparison_presets() -> list[str]:
"""Load list of comparison presets from config file.
Returns:
List of preset names
"""
import tomli
config_file = Path("tests/comparison_presets.toml")
if not config_file.exists():
raise FileNotFoundError(f"Comparison presets not found: {config_file}")
with open(config_file, "rb") as f:
config = tomli.load(f)
presets = list(config.get("presets", {}).keys())
# Strip "presets." prefix if present
return [p.replace("presets.", "") for p in presets]
def run_comparison_for_preset(
preset_name: str,
sideline_only: bool = False,
upstream_file: Path | None = None,
) -> dict:
"""Run comparison for a single preset.
Args:
preset_name: Name of preset to test
sideline_only: If True, only capture sideline frames
upstream_file: Path to upstream captured output (if not None, use this instead of capturing)
Returns:
Comparison result dict
"""
print(f" Running preset: {preset_name}")
# Capture sideline frames
sideline_data = capture_frames(preset_name, frame_count=30)
sideline_file = Path(f"tests/comparison_output/{preset_name}_sideline.json")
if sideline_only:
return {
"preset": preset_name,
"status": "sideline_only",
"sideline_file": str(sideline_file),
}
# Use provided upstream file or look for it
if upstream_file:
upstream_path = upstream_file
else:
upstream_path = Path(f"tests/comparison_output/{preset_name}_upstream.json")
if not upstream_path.exists():
print(f" Warning: Upstream file not found: {upstream_path}")
return {
"preset": preset_name,
"status": "missing_upstream",
"sideline_file": str(sideline_file),
"upstream_file": str(upstream_path),
}
# Compare outputs
try:
comparison_result = compare_captured_outputs(
sideline_file=sideline_file,
upstream_file=upstream_path,
)
comparison_result["status"] = "success"
return comparison_result
except Exception as e:
print(f" Error comparing outputs: {e}")
return {
"preset": preset_name,
"status": "error",
"error": str(e),
"sideline_file": str(sideline_file),
"upstream_file": str(upstream_path),
}
def main():
"""Main entry point for comparison runner."""
parser = argparse.ArgumentParser(
description="Run comparison tests between upstream and sideline implementations"
)
parser.add_argument(
"--preset",
"-p",
help="Run specific preset (can be specified multiple times)",
action="append",
dest="presets",
)
parser.add_argument(
"--all",
"-a",
help="Run all comparison presets",
action="store_true",
)
parser.add_argument(
"--sideline-only",
"-s",
help="Only capture sideline frames (no comparison)",
action="store_true",
)
parser.add_argument(
"--upstream-file",
"-u",
help="Path to upstream captured output file",
type=Path,
)
parser.add_argument(
"--output-dir",
"-o",
help="Output directory for captured frames and reports",
type=Path,
default=Path("tests/comparison_output"),
)
parser.add_argument(
"--no-report",
help="Skip HTML report generation",
action="store_true",
)
args = parser.parse_args()
# Determine which presets to run
if args.presets:
presets_to_run = args.presets
elif args.all:
presets_to_run = load_comparison_presets()
else:
print("Error: Either --preset or --all must be specified")
print(f"Available presets: {', '.join(load_comparison_presets())}")
sys.exit(1)
print(f"Running comparison for {len(presets_to_run)} preset(s)")
print(f"Output directory: {args.output_dir}")
print()
# Run comparisons
results = []
for preset_name in presets_to_run:
try:
result = run_comparison_for_preset(
preset_name,
sideline_only=args.sideline_only,
upstream_file=args.upstream_file,
)
results.append(result)
if result["status"] == "success":
match_pct = result["stats"]["match_percentage"]
print(f" ✓ Match: {match_pct:.1f}%")
elif result["status"] == "missing_upstream":
print(f" ⚠ Missing upstream file")
elif result["status"] == "error":
print(f" ✗ Error: {result['error']}")
else:
print(f" ✓ Captured sideline only")
except Exception as e:
print(f" ✗ Failed: {e}")
results.append(
{
"preset": preset_name,
"status": "failed",
"error": str(e),
}
)
# Generate HTML report
if not args.no_report and not args.sideline_only:
successful_results = [r for r in results if r.get("status") == "success"]
if successful_results:
print(f"\nGenerating HTML report...")
report_file = generate_html_report(successful_results, args.output_dir)
print(f" Report saved to: {report_file}")
# Also save summary JSON
summary_file = args.output_dir / "comparison_summary.json"
with open(summary_file, "w") as f:
json.dump(
{
"timestamp": __import__("datetime").datetime.now().isoformat(),
"presets_tested": [r["preset"] for r in results],
"results": results,
},
f,
indent=2,
)
print(f" Summary saved to: {summary_file}")
else:
print(f"\nNote: No successful comparisons to report.")
print(f" Capture files saved in {args.output_dir}")
print(f" Run comparison when upstream files are available.")
# Print summary
print("\n" + "=" * 60)
print("SUMMARY")
print("=" * 60)
status_counts = {}
for result in results:
status = result.get("status", "unknown")
status_counts[status] = status_counts.get(status, 0) + 1
for status, count in sorted(status_counts.items()):
print(f" {status}: {count}")
if "success" in status_counts:
successful_results = [r for r in results if r.get("status") == "success"]
avg_match = sum(
r["stats"]["match_percentage"] for r in successful_results
) / len(successful_results)
print(f"\n Average match rate: {avg_match:.1f}%")
# Exit with error code if any failures
if any(r.get("status") in ["error", "failed"] for r in results):
sys.exit(1)
if __name__ == "__main__":
main()

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