feat(integration): Complete feature rewrite with pipeline architecture, effects system, and display improvements

Major changes:
- Pipeline architecture with capability-based dependency resolution
- Effects plugin system with performance monitoring
- Display abstraction with multiple backends (terminal, null, websocket)
- Camera system for viewport scrolling
- Sensor framework for real-time input
- Command-and-control system via ntfy
- WebSocket display backend for browser clients
- Comprehensive test suite and documentation

Issue #48: ADR for preset scripting language included

This commit consolidates 110 individual commits into a single
feature integration that can be reviewed and tested before
further refinement.
This commit is contained in:
2026-03-20 04:41:23 -07:00
parent 42aa6f16cc
commit ef98add0c5
179 changed files with 27649 additions and 6552 deletions

106
engine/pipeline/__init__.py Normal file
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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
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)
"""
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,
)
from engine.pipeline.presets import (
DEMO_PRESET,
FIREHOSE_PRESET,
PIPELINE_VIZ_PRESET,
POETRY_PRESET,
UI_PRESET,
WEBSOCKET_PRESET,
PipelinePreset,
create_preset_from_params,
get_preset,
list_presets,
)
from engine.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",
# Presets
"PipelinePreset",
"PRESETS",
"DEMO_PRESET",
"POETRY_PRESET",
"PIPELINE_VIZ_PRESET",
"WEBSOCKET_PRESET",
"FIREHOSE_PRESET",
"UI_PRESET",
"get_preset",
"list_presets",
"create_preset_from_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 engine.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 .transform import (
CanvasStage,
FontStage,
ImageToTextStage,
ViewportFilterStage,
)
__all__ = [
# Adapter classes
"EffectPluginStage",
"DisplayStage",
"DataSourceStage",
"PassthroughStage",
"SourceItemsToBufferStage",
"CameraStage",
"CameraClockStage",
"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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"""Adapter for camera stage."""
import time
from typing import Any
from engine.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 engine.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"}
@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 engine.data_sources import SourceItem
from engine.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 engine.pipeline.core import PipelineContext, Stage
class DisplayStage(Stage):
"""Adapter wrapping Display as a Stage."""
def __init__(self, display, name: str = "terminal"):
self._display = display
self.name = name
self.category = "display"
self.optional = False
self._initialized = False
self._init_width = 80
self._init_height = 24
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]:
return {"render.output"} # Display needs rendered content
@property
def inlet_types(self) -> set:
from engine.pipeline.core import DataType
return {DataType.TEXT_BUFFER} # Display consumes rendered text
@property
def outlet_types(self) -> set:
from engine.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:
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 engine.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.
HUD effects are overlays.
"""
if self.name == "hud":
return "overlay"
return self.category
@property
def render_order(self) -> int:
"""Return render_order based on effect type.
HUD effects have high render_order to appear on top.
"""
if self.name == "hud":
return 100 # High order for overlays
return 0
@property
def is_overlay(self) -> bool:
"""Return True for HUD effects.
HUD is an overlay - it composes on top of the buffer
rather than transforming it for the next stage.
"""
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 engine.pipeline.core import DataType
return {DataType.TEXT_BUFFER}
@property
def outlet_types(self) -> set:
from engine.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 engine.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 engine.pipeline.adapters.camera import CameraStage
from engine.pipeline.adapters.data_source import DataSourceStage
from engine.pipeline.adapters.display import DisplayStage
from engine.pipeline.adapters.effect_plugin import EffectPluginStage
from engine.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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"""Adapters for transform stages (viewport, font, image, canvas)."""
from typing import Any
import engine.render
from engine.data_sources import SourceItem
from engine.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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"""
Pipeline core - Unified Stage abstraction and PipelineContext.
This module provides the foundation for a clean, dependency-managed pipeline:
- Stage: Base class for all pipeline components (sources, effects, displays, cameras)
- PipelineContext: Dependency injection context for runtime data exchange
- Capability system: Explicit capability declarations with duck-typing support
- DataType: PureData-style inlet/outlet typing for validation
"""
from abc import ABC, abstractmethod
from collections.abc import Callable
from dataclasses import dataclass, field
from enum import Enum, auto
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from engine.pipeline.params import PipelineParams
class DataType(Enum):
"""PureData-style data types for inlet/outlet validation.
Each type represents a specific data format that flows through the pipeline.
This enables compile-time-like validation of connections.
Examples:
SOURCE_ITEMS: List[SourceItem] - raw items from sources
ITEM_TUPLES: List[tuple] - (title, source, timestamp) tuples
TEXT_BUFFER: List[str] - rendered ANSI buffer for display
RAW_TEXT: str - raw text strings
PIL_IMAGE: PIL Image object
"""
SOURCE_ITEMS = auto() # List[SourceItem] - from DataSource
ITEM_TUPLES = auto() # List[tuple] - (title, source, ts)
TEXT_BUFFER = auto() # List[str] - ANSI buffer
RAW_TEXT = auto() # str - raw text
PIL_IMAGE = auto() # PIL Image object
ANY = auto() # Accepts any type
NONE = auto() # No data (terminator)
@dataclass
class StageConfig:
"""Configuration for a single stage."""
name: str
category: str
enabled: bool = True
optional: bool = False
params: dict[str, Any] = field(default_factory=dict)
class Stage(ABC):
"""Abstract base class for all pipeline stages.
A Stage is a single component in the rendering pipeline. Stages can be:
- 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)
- Overlays: UI elements that compose on top (HUD)
Stages declare:
- capabilities: What they provide to other stages
- dependencies: What they need from other stages
- stage_type: Category of stage (source, effect, overlay, display)
- render_order: Execution order within category
- is_overlay: If True, output is composited on top, not passed downstream
Duck-typing is supported: any class with the required methods can act as a Stage.
"""
name: str
category: str # "source", "effect", "overlay", "display", "camera"
optional: bool = False # If True, pipeline continues even if stage fails
@property
def stage_type(self) -> str:
"""Category of stage for ordering.
Valid values: "source", "effect", "overlay", "display", "camera"
Defaults to category for backwards compatibility.
"""
return self.category
@property
def render_order(self) -> int:
"""Execution order within stage_type group.
Higher values execute later. Useful for ordering overlays
or effects that need specific execution order.
"""
return 0
@property
def is_overlay(self) -> bool:
"""If True, this stage's output is composited on top of the buffer.
Overlay stages don't pass their output to the next stage.
Instead, their output is layered on top of the final buffer.
Use this for HUD, status displays, and similar UI elements.
"""
return False
@property
def inlet_types(self) -> set[DataType]:
"""Return set of data types this stage accepts.
PureData-style inlet typing. If the connected upstream stage's
outlet_type is not in this set, the pipeline will raise an error.
Examples:
- Source stages: {DataType.NONE} (no input needed)
- Transform stages: {DataType.ITEM_TUPLES, DataType.TEXT_BUFFER}
- Display stages: {DataType.TEXT_BUFFER}
"""
return {DataType.ANY}
@property
def outlet_types(self) -> set[DataType]:
"""Return set of data types this stage produces.
PureData-style outlet typing. Downstream stages must accept
this type in their inlet_types.
Examples:
- Source stages: {DataType.SOURCE_ITEMS}
- Transform stages: {DataType.TEXT_BUFFER}
- Display stages: {DataType.NONE} (consumes data)
"""
return {DataType.ANY}
@property
def capabilities(self) -> set[str]:
"""Return set of capabilities this stage provides.
Examples:
- "source.headlines"
- "effect.noise"
- "display.output"
- "camera"
"""
return {f"{self.category}.{self.name}"}
@property
def dependencies(self) -> set[str]:
"""Return set of capability names this stage needs.
Examples:
- {"display.output"}
- {"source.headlines"}
- {"camera"}
"""
return set()
@property
def stage_dependencies(self) -> set[str]:
"""Return set of stage names this stage must connect to directly.
This allows explicit stage-to-stage dependencies, useful for enforcing
pipeline structure when capability matching alone is insufficient.
Examples:
- {"viewport_filter"} # Must connect to viewport_filter stage
- {"camera_update"} # Must connect to camera_update stage
NOTE: These are stage names (as added to pipeline), not capabilities.
"""
return set()
def init(self, ctx: "PipelineContext") -> bool:
"""Initialize stage with pipeline context.
Args:
ctx: PipelineContext for accessing services
Returns:
True if initialization succeeded, False otherwise
"""
return True
@abstractmethod
def process(self, data: Any, ctx: "PipelineContext") -> Any:
"""Process input data and return output.
Args:
data: Input data from previous stage (or initial data for first stage)
ctx: PipelineContext for accessing services and state
Returns:
Processed data for next stage
"""
...
def cleanup(self) -> None: # noqa: B027
"""Clean up resources when pipeline shuts down."""
pass
def get_config(self) -> StageConfig:
"""Return current configuration of this stage."""
return StageConfig(
name=self.name,
category=self.category,
optional=self.optional,
)
def set_enabled(self, enabled: bool) -> None:
"""Enable or disable this stage."""
self._enabled = enabled # type: ignore[attr-defined]
def is_enabled(self) -> bool:
"""Check if stage is enabled."""
return getattr(self, "_enabled", True)
@dataclass
class StageResult:
"""Result of stage processing, including success/failure info."""
success: bool
data: Any
error: str | None = None
stage_name: str = ""
class PipelineContext:
"""Dependency injection context passed through the pipeline.
Provides:
- services: Named services (display, config, event_bus, etc.)
- state: Runtime state shared between stages
- params: PipelineParams for animation-driven config
Services can be injected at construction time or lazily resolved.
"""
def __init__(
self,
services: dict[str, Any] | None = None,
initial_state: dict[str, Any] | None = None,
):
self.services: dict[str, Any] = services or {}
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,
}
def _resolve_config(self) -> Any:
from engine.config import get_config
return get_config()
def _resolve_event_bus(self) -> Any:
from engine.eventbus import get_event_bus
return get_event_bus()
def get(self, key: str, default: Any = None) -> Any:
"""Get a service or state value by key.
First checks services, then state, then lazy resolution.
"""
if key in self.services:
return self.services[key]
if key in self.state:
return self.state[key]
if key in self._lazy_resolvers:
try:
return self._lazy_resolvers[key]()
except Exception:
return default
return default
def set(self, key: str, value: Any) -> None:
"""Set a service or state value."""
self.services[key] = value
def set_state(self, key: str, value: Any) -> None:
"""Set a runtime state value."""
self.state[key] = value
def get_state(self, key: str, default: Any = None) -> Any:
"""Get a runtime state value."""
return self.state.get(key, default)
@property
def params(self) -> "PipelineParams | None":
"""Get current pipeline params (for animation)."""
return self._params
@params.setter
def params(self, value: "PipelineParams") -> None:
"""Set pipeline params (from animation controller)."""
self._params = value
def has_capability(self, capability: str) -> bool:
"""Check if a capability is available."""
return capability in self.services or capability in self._lazy_resolvers
class StageError(Exception):
"""Raised when a stage fails to process."""
def __init__(self, stage_name: str, message: str, is_optional: bool = False):
self.stage_name = stage_name
self.message = message
self.is_optional = is_optional
super().__init__(f"Stage '{stage_name}' failed: {message}")
def create_stage_error(
stage_name: str, error: Exception, is_optional: bool = False
) -> StageError:
"""Helper to create a StageError from an exception."""
return StageError(stage_name, str(error), is_optional)

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"""
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 engine.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
# 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,
"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
)

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"""
Pipeline introspection demo controller - 3-phase animation system.
Phase 1: Toggle each effect on/off one at a time (3s each, 1s gap)
Phase 2: LFO drives intensity default → max → min → default for each effect
Phase 3: All effects with shared LFO driving full waveform
This controller manages the animation and updates the pipeline accordingly.
"""
import time
from dataclasses import dataclass
from enum import Enum, auto
from typing import Any
from engine.effects import get_registry
from engine.sensors.oscillator import OscillatorSensor
class DemoPhase(Enum):
"""The three phases of the pipeline introspection demo."""
PHASE_1_TOGGLE = auto() # Toggle each effect on/off
PHASE_2_LFO = auto() # LFO drives intensity up/down
PHASE_3_SHARED_LFO = auto() # All effects with shared LFO
@dataclass
class PhaseState:
"""State for a single phase of the demo."""
phase: DemoPhase
start_time: float
current_effect_index: int = 0
effect_start_time: float = 0.0
lfo_phase: float = 0.0 # 0.0 to 1.0
@dataclass
class DemoConfig:
"""Configuration for the demo animation."""
effect_cycle_duration: float = 3.0 # seconds per effect
gap_duration: float = 1.0 # seconds between effects
lfo_duration: float = (
4.0 # seconds for full LFO cycle (default → max → min → default)
)
phase_2_effect_duration: float = 4.0 # seconds per effect in phase 2
phase_3_lfo_duration: float = 6.0 # seconds for full waveform in phase 3
class PipelineIntrospectionDemo:
"""Controller for the 3-phase pipeline introspection demo.
Manages effect toggling and LFO modulation across the pipeline.
"""
def __init__(
self,
pipeline: Any,
effect_names: list[str] | None = None,
config: DemoConfig | None = None,
):
self._pipeline = pipeline
self._config = config or DemoConfig()
self._effect_names = effect_names or ["noise", "fade", "glitch", "firehose"]
self._phase = DemoPhase.PHASE_1_TOGGLE
self._phase_state = PhaseState(
phase=DemoPhase.PHASE_1_TOGGLE,
start_time=time.time(),
)
self._shared_oscillator: OscillatorSensor | None = None
self._frame = 0
# Register shared oscillator for phase 3
self._shared_oscillator = OscillatorSensor(
name="demo-lfo",
waveform="sine",
frequency=1.0 / self._config.phase_3_lfo_duration,
)
@property
def phase(self) -> DemoPhase:
return self._phase
@property
def phase_display(self) -> str:
"""Get a human-readable phase description."""
phase_num = {
DemoPhase.PHASE_1_TOGGLE: 1,
DemoPhase.PHASE_2_LFO: 2,
DemoPhase.PHASE_3_SHARED_LFO: 3,
}
return f"Phase {phase_num[self._phase]}"
@property
def effect_names(self) -> list[str]:
return self._effect_names
@property
def shared_oscillator(self) -> OscillatorSensor | None:
return self._shared_oscillator
def update(self) -> dict[str, Any]:
"""Update the demo state and return current parameters.
Returns:
dict with current effect settings for the pipeline
"""
self._frame += 1
current_time = time.time()
elapsed = current_time - self._phase_state.start_time
# Phase transition logic
phase_duration = self._get_phase_duration()
if elapsed >= phase_duration:
self._advance_phase()
# Update based on current phase
if self._phase == DemoPhase.PHASE_1_TOGGLE:
return self._update_phase_1(current_time)
elif self._phase == DemoPhase.PHASE_2_LFO:
return self._update_phase_2(current_time)
else:
return self._update_phase_3(current_time)
def _get_phase_duration(self) -> float:
"""Get duration of current phase in seconds."""
if self._phase == DemoPhase.PHASE_1_TOGGLE:
# Duration = (effect_time + gap) * num_effects + final_gap
return (
self._config.effect_cycle_duration + self._config.gap_duration
) * len(self._effect_names) + self._config.gap_duration
elif self._phase == DemoPhase.PHASE_2_LFO:
return self._config.phase_2_effect_duration * len(self._effect_names)
else:
# Phase 3 runs indefinitely
return float("inf")
def _advance_phase(self) -> None:
"""Advance to the next phase."""
if self._phase == DemoPhase.PHASE_1_TOGGLE:
self._phase = DemoPhase.PHASE_2_LFO
elif self._phase == DemoPhase.PHASE_2_LFO:
self._phase = DemoPhase.PHASE_3_SHARED_LFO
# Start the shared oscillator
if self._shared_oscillator:
self._shared_oscillator.start()
else:
# Phase 3 loops indefinitely - reset for demo replay after long time
self._phase = DemoPhase.PHASE_1_TOGGLE
self._phase_state = PhaseState(
phase=self._phase,
start_time=time.time(),
)
def _update_phase_1(self, current_time: float) -> dict[str, Any]:
"""Phase 1: Toggle each effect on/off one at a time."""
effect_time = current_time - self._phase_state.effect_start_time
# Check if we should move to next effect
cycle_time = self._config.effect_cycle_duration + self._config.gap_duration
effect_index = int((current_time - self._phase_state.start_time) / cycle_time)
# Clamp to valid range
if effect_index >= len(self._effect_names):
effect_index = len(self._effect_names) - 1
# Calculate current effect state
in_gap = effect_time >= self._config.effect_cycle_duration
# Build effect states
effect_states: dict[str, dict[str, Any]] = {}
for i, name in enumerate(self._effect_names):
if i < effect_index:
# Past effects - leave at default
effect_states[name] = {"enabled": False, "intensity": 0.5}
elif i == effect_index:
# Current effect - toggle on/off
if in_gap:
effect_states[name] = {"enabled": False, "intensity": 0.5}
else:
effect_states[name] = {"enabled": True, "intensity": 1.0}
else:
# Future effects - off
effect_states[name] = {"enabled": False, "intensity": 0.5}
# Apply to effect registry
self._apply_effect_states(effect_states)
return {
"phase": "PHASE_1_TOGGLE",
"phase_display": self.phase_display,
"current_effect": self._effect_names[effect_index]
if effect_index < len(self._effect_names)
else None,
"effect_states": effect_states,
"frame": self._frame,
}
def _update_phase_2(self, current_time: float) -> dict[str, Any]:
"""Phase 2: LFO drives intensity default → max → min → default."""
elapsed = current_time - self._phase_state.start_time
effect_index = int(elapsed / self._config.phase_2_effect_duration)
effect_index = min(effect_index, len(self._effect_names) - 1)
# Calculate LFO position (0 → 1 → 0)
effect_elapsed = elapsed % self._config.phase_2_effect_duration
lfo_position = effect_elapsed / self._config.phase_2_effect_duration
# LFO: 0 → 1 → 0 (triangle wave)
if lfo_position < 0.5:
lfo_value = lfo_position * 2 # 0 → 1
else:
lfo_value = 2 - lfo_position * 2 # 1 → 0
# Map to intensity: 0.3 (default) → 1.0 (max) → 0.0 (min) → 0.3 (default)
if lfo_position < 0.25:
# 0.3 → 1.0
intensity = 0.3 + (lfo_position / 0.25) * 0.7
elif lfo_position < 0.75:
# 1.0 → 0.0
intensity = 1.0 - ((lfo_position - 0.25) / 0.5) * 1.0
else:
# 0.0 → 0.3
intensity = ((lfo_position - 0.75) / 0.25) * 0.3
# Build effect states
effect_states: dict[str, dict[str, Any]] = {}
for i, name in enumerate(self._effect_names):
if i < effect_index:
# Past effects - default
effect_states[name] = {"enabled": True, "intensity": 0.5}
elif i == effect_index:
# Current effect - LFO modulated
effect_states[name] = {"enabled": True, "intensity": intensity}
else:
# Future effects - off
effect_states[name] = {"enabled": False, "intensity": 0.5}
# Apply to effect registry
self._apply_effect_states(effect_states)
return {
"phase": "PHASE_2_LFO",
"phase_display": self.phase_display,
"current_effect": self._effect_names[effect_index],
"lfo_value": lfo_value,
"intensity": intensity,
"effect_states": effect_states,
"frame": self._frame,
}
def _update_phase_3(self, current_time: float) -> dict[str, Any]:
"""Phase 3: All effects with shared LFO driving full waveform."""
# Read shared oscillator
lfo_value = 0.5 # Default
if self._shared_oscillator:
sensor_val = self._shared_oscillator.read()
if sensor_val:
lfo_value = sensor_val.value
# All effects enabled with shared LFO
effect_states: dict[str, dict[str, Any]] = {}
for name in self._effect_names:
effect_states[name] = {"enabled": True, "intensity": lfo_value}
# Apply to effect registry
self._apply_effect_states(effect_states)
return {
"phase": "PHASE_3_SHARED_LFO",
"phase_display": self.phase_display,
"lfo_value": lfo_value,
"effect_states": effect_states,
"frame": self._frame,
}
def _apply_effect_states(self, effect_states: dict[str, dict[str, Any]]) -> None:
"""Apply effect states to the effect registry."""
try:
registry = get_registry()
for name, state in effect_states.items():
effect = registry.get(name)
if effect:
effect.config.enabled = state["enabled"]
effect.config.intensity = state["intensity"]
except Exception:
pass # Silently fail if registry not available
def cleanup(self) -> None:
"""Clean up resources."""
if self._shared_oscillator:
self._shared_oscillator.stop()
# Reset all effects to default
self._apply_effect_states(
{name: {"enabled": False, "intensity": 0.5} for name in self._effect_names}
)

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"""
Preset loader - Loads presets from TOML files.
Supports:
- Built-in presets.toml in the package
- User overrides in ~/.config/mainline/presets.toml
- Local override in ./presets.toml
- Fallback DEFAULT_PRESET when loading fails
"""
import os
from pathlib import Path
from typing import Any
import tomllib
DEFAULT_PRESET: dict[str, Any] = {
"description": "Default fallback preset",
"source": "headlines",
"display": "terminal",
"camera": "vertical",
"effects": [],
"viewport": {"width": 80, "height": 24},
"camera_speed": 1.0,
"firehose_enabled": False,
}
def get_preset_paths() -> list[Path]:
"""Get list of preset file paths in load order (later overrides earlier)."""
paths = []
builtin = Path(__file__).parent.parent / "presets.toml"
if builtin.exists():
paths.append(builtin)
user_config = Path(os.path.expanduser("~/.config/mainline/presets.toml"))
if user_config.exists():
paths.append(user_config)
local = Path("presets.toml")
if local.exists():
paths.append(local)
return paths
def load_presets() -> dict[str, Any]:
"""Load all presets, merging from multiple sources."""
merged: dict[str, Any] = {"presets": {}, "sensors": {}, "effect_configs": {}}
for path in get_preset_paths():
try:
with open(path, "rb") as f:
data = tomllib.load(f)
if "presets" in data:
merged["presets"].update(data["presets"])
if "sensors" in data:
merged["sensors"].update(data["sensors"])
if "effect_configs" in data:
merged["effect_configs"].update(data["effect_configs"])
except Exception as e:
print(f"Warning: Failed to load presets from {path}: {e}")
return merged
def get_preset(name: str) -> dict[str, Any] | None:
"""Get a preset by name."""
presets = load_presets()
return presets.get("presets", {}).get(name)
def list_preset_names() -> list[str]:
"""List all available preset names."""
presets = load_presets()
return list(presets.get("presets", {}).keys())
def get_sensor_config(name: str) -> dict[str, Any] | None:
"""Get sensor configuration by name."""
sensors = load_presets()
return sensors.get("sensors", {}).get(name)
def get_effect_config(name: str) -> dict[str, Any] | None:
"""Get effect configuration by name."""
configs = load_presets()
return configs.get("effect_configs", {}).get(name)
def get_all_effect_configs() -> dict[str, Any]:
"""Get all effect configurations."""
configs = load_presets()
return configs.get("effect_configs", {})
def get_preset_or_default(name: str) -> dict[str, Any]:
"""Get a preset by name, or return DEFAULT_PRESET if not found."""
preset = get_preset(name)
if preset is not None:
return preset
return DEFAULT_PRESET.copy()
def ensure_preset_available(name: str | None) -> dict[str, Any]:
"""Ensure a preset is available, falling back to DEFAULT_PRESET."""
if name is None:
return DEFAULT_PRESET.copy()
return get_preset_or_default(name)
class PresetValidationError(Exception):
"""Raised when preset validation fails."""
def validate_preset(preset: dict[str, Any]) -> list[str]:
"""Validate a preset and return list of errors (empty if valid)."""
errors: list[str] = []
required_fields = ["source", "display", "effects"]
for field in required_fields:
if field not in preset:
errors.append(f"Missing required field: {field}")
if "effects" in preset:
if not isinstance(preset["effects"], list):
errors.append("'effects' must be a list")
else:
for effect in preset["effects"]:
if not isinstance(effect, str):
errors.append(
f"Effect must be string, got {type(effect)}: {effect}"
)
if "viewport" in preset:
viewport = preset["viewport"]
if not isinstance(viewport, dict):
errors.append("'viewport' must be a dict")
else:
if "width" in viewport and not isinstance(viewport["width"], int):
errors.append("'viewport.width' must be an int")
if "height" in viewport and not isinstance(viewport["height"], int):
errors.append("'viewport.height' must be an int")
return errors
def validate_signal_flow(stages: list[dict]) -> list[str]:
"""Validate signal flow based on inlet/outlet types.
This validates that the preset's stage configuration produces valid
data flow using the PureData-style type system.
Args:
stages: List of stage configs with 'name', 'category', 'inlet_types', 'outlet_types'
Returns:
List of errors (empty if valid)
"""
errors: list[str] = []
if not stages:
errors.append("Signal flow is empty")
return errors
# Define expected types for each category
type_map = {
"source": {"inlet": "NONE", "outlet": "SOURCE_ITEMS"},
"data": {"inlet": "ANY", "outlet": "SOURCE_ITEMS"},
"transform": {"inlet": "SOURCE_ITEMS", "outlet": "TEXT_BUFFER"},
"effect": {"inlet": "TEXT_BUFFER", "outlet": "TEXT_BUFFER"},
"overlay": {"inlet": "TEXT_BUFFER", "outlet": "TEXT_BUFFER"},
"camera": {"inlet": "TEXT_BUFFER", "outlet": "TEXT_BUFFER"},
"display": {"inlet": "TEXT_BUFFER", "outlet": "NONE"},
"render": {"inlet": "SOURCE_ITEMS", "outlet": "TEXT_BUFFER"},
}
# Check stage order and type compatibility
for i, stage in enumerate(stages):
category = stage.get("category", "unknown")
name = stage.get("name", f"stage_{i}")
if category not in type_map:
continue # Skip unknown categories
expected = type_map[category]
# Check against previous stage
if i > 0:
prev = stages[i - 1]
prev_category = prev.get("category", "unknown")
if prev_category in type_map:
prev_outlet = type_map[prev_category]["outlet"]
inlet = expected["inlet"]
# Validate type compatibility
if inlet != "ANY" and prev_outlet != "ANY" and inlet != prev_outlet:
errors.append(
f"Type mismatch at '{name}': "
f"expects {inlet} but previous stage outputs {prev_outlet}"
)
return errors
def validate_signal_path(stages: list[str]) -> list[str]:
"""Validate signal path for circular dependencies and connectivity.
Args:
stages: List of stage names in execution order
Returns:
List of errors (empty if valid)
"""
errors: list[str] = []
if not stages:
errors.append("Signal path is empty")
return errors
seen: set[str] = set()
for i, stage in enumerate(stages):
if stage in seen:
errors.append(
f"Circular dependency: '{stage}' appears multiple times at index {i}"
)
seen.add(stage)
return errors
def generate_preset_toml(
name: str,
source: str = "headlines",
display: str = "terminal",
effects: list[str] | None = None,
viewport_width: int = 80,
viewport_height: int = 24,
camera: str = "vertical",
camera_speed: float = 1.0,
firehose_enabled: bool = False,
) -> str:
"""Generate a TOML preset skeleton with default values.
Args:
name: Preset name
source: Data source name
display: Display backend
effects: List of effect names
viewport_width: Viewport width in columns
viewport_height: Viewport height in rows
camera: Camera mode
camera_speed: Camera scroll speed
firehose_enabled: Enable firehose mode
Returns:
TOML string for the preset
"""
if effects is None:
effects = ["fade"]
output = []
output.append(f"[presets.{name}]")
output.append(f'description = "Auto-generated preset: {name}"')
output.append(f'source = "{source}"')
output.append(f'display = "{display}"')
output.append(f'camera = "{camera}"')
output.append(f"effects = {effects}")
output.append(f"viewport_width = {viewport_width}")
output.append(f"viewport_height = {viewport_height}")
output.append(f"camera_speed = {camera_speed}")
output.append(f"firehose_enabled = {str(firehose_enabled).lower()}")
return "\n".join(output)

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"""
Pipeline presets - Pre-configured pipeline configurations.
Provides PipelinePreset as a unified preset system.
Presets can be loaded from TOML files (presets.toml) or defined in code.
Loading order:
1. Built-in presets.toml in the package
2. User config ~/.config/mainline/presets.toml
3. Local ./presets.toml (overrides earlier)
"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any
from engine.display import BorderMode
from engine.pipeline.params import PipelineParams
if TYPE_CHECKING:
from engine.pipeline.controller import PipelineConfig
def _load_toml_presets() -> dict[str, Any]:
"""Load presets from TOML file."""
try:
from engine.pipeline.preset_loader import load_presets
return load_presets()
except Exception:
return {}
_YAML_PRESETS = _load_toml_presets()
@dataclass
class PipelinePreset:
"""Pre-configured pipeline with stages and animation.
A PipelinePreset packages:
- Initial params: Starting configuration
- Stages: List of stage configurations to create
This is the new unified preset that works with the Pipeline class.
"""
name: str
description: str = ""
source: str = "headlines"
display: str = "terminal"
camera: str = "scroll"
effects: list[str] = field(default_factory=list)
border: bool | BorderMode = (
False # Border mode: False=off, True=simple, BorderMode.UI for panel
)
# Extended fields for fine-tuning
camera_speed: float = 1.0 # Camera movement speed
viewport_width: int = 80 # Viewport width in columns
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
def to_params(self) -> PipelineParams:
"""Convert to PipelineParams (runtime configuration)."""
from engine.display import BorderMode
params = PipelineParams()
params.source = self.source
params.display = self.display
params.border = (
self.border
if isinstance(self.border, bool)
else BorderMode.UI
if self.border == BorderMode.UI
else False
)
params.camera_mode = self.camera
params.effect_order = self.effects.copy()
params.camera_speed = self.camera_speed
# Note: viewport_width/height are read from PipelinePreset directly
# in pipeline_runner.py, not from PipelineParams
return params
def to_config(self) -> "PipelineConfig":
"""Convert to PipelineConfig (static pipeline construction config).
PipelineConfig is used once at pipeline initialization and contains
the core settings that don't change during execution.
"""
from engine.pipeline.controller import PipelineConfig
return PipelineConfig(
source=self.source,
display=self.display,
camera=self.camera,
effects=self.effects.copy(),
enable_metrics=self.enable_metrics,
)
@classmethod
def from_yaml(cls, name: str, data: dict[str, Any]) -> "PipelinePreset":
"""Create a PipelinePreset from YAML data."""
return cls(
name=name,
description=data.get("description", ""),
source=data.get("source", "headlines"),
display=data.get("display", "terminal"),
camera=data.get("camera", "vertical"),
effects=data.get("effects", []),
border=data.get("border", False),
camera_speed=data.get("camera_speed", 1.0),
viewport_width=data.get("viewport_width", 80),
viewport_height=data.get("viewport_height", 24),
source_items=data.get("source_items"),
enable_metrics=data.get("enable_metrics", True),
)
# Built-in presets
DEMO_PRESET = PipelinePreset(
name="demo",
description="Demo mode with effect cycling and camera modes",
source="headlines",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
)
UI_PRESET = PipelinePreset(
name="ui",
description="Interactive UI mode with right-side control panel",
source="fixture",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch"],
border=BorderMode.UI,
)
POETRY_PRESET = PipelinePreset(
name="poetry",
description="Poetry feed with subtle effects",
source="poetry",
display="pygame",
camera="scroll",
effects=["fade"],
)
PIPELINE_VIZ_PRESET = PipelinePreset(
name="pipeline",
description="Pipeline visualization mode",
source="pipeline",
display="terminal",
camera="trace",
effects=[],
)
WEBSOCKET_PRESET = PipelinePreset(
name="websocket",
description="WebSocket display mode",
source="headlines",
display="websocket",
camera="scroll",
effects=["noise", "fade", "glitch"],
)
FIREHOSE_PRESET = PipelinePreset(
name="firehose",
description="High-speed firehose mode",
source="headlines",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
)
FIXTURE_PRESET = PipelinePreset(
name="fixture",
description="Use cached headline fixtures",
source="fixture",
display="pygame",
camera="scroll",
effects=["noise", "fade"],
border=False,
)
# Build presets from YAML data
def _build_presets() -> dict[str, PipelinePreset]:
"""Build preset dictionary from all sources."""
result = {}
# Add YAML presets
yaml_presets = _YAML_PRESETS.get("presets", {})
for name, data in yaml_presets.items():
result[name] = PipelinePreset.from_yaml(name, data)
# Add built-in presets as fallback (if not in YAML)
builtins = {
"demo": DEMO_PRESET,
"poetry": POETRY_PRESET,
"pipeline": PIPELINE_VIZ_PRESET,
"websocket": WEBSOCKET_PRESET,
"firehose": FIREHOSE_PRESET,
"ui": UI_PRESET,
"fixture": FIXTURE_PRESET,
}
for name, preset in builtins.items():
if name not in result:
result[name] = preset
return result
PRESETS: dict[str, PipelinePreset] = _build_presets()
def get_preset(name: str) -> PipelinePreset | None:
"""Get a preset by name."""
return PRESETS.get(name)
def list_presets() -> list[str]:
"""List all available preset names."""
return list(PRESETS.keys())
def create_preset_from_params(
params: PipelineParams, name: str = "custom"
) -> PipelinePreset:
"""Create a preset from PipelineParams."""
return PipelinePreset(
name=name,
source=params.source,
display=params.display,
camera=params.camera_mode,
effects=params.effect_order.copy() if hasattr(params, "effect_order") else [],
)

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"""
Stage registry - Unified registration for all pipeline stages.
Provides a single registry for sources, effects, displays, and cameras.
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, TypeVar
from engine.pipeline.core import Stage
if TYPE_CHECKING:
from engine.pipeline.core import Stage
T = TypeVar("T")
class StageRegistry:
"""Unified registry for all pipeline stage types."""
_categories: dict[str, dict[str, type[Any]]] = {}
_discovered: bool = False
_instances: dict[str, Stage] = {}
@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)
def discover_stages() -> None:
"""Auto-discover and register all stage implementations."""
if StageRegistry._discovered:
return
# Import and register all stage implementations
try:
from engine.data_sources.sources import (
HeadlinesDataSource,
PoetryDataSource,
)
StageRegistry.register("source", HeadlinesDataSource)
StageRegistry.register("source", PoetryDataSource)
StageRegistry._categories["source"]["headlines"] = HeadlinesDataSource
StageRegistry._categories["source"]["poetry"] = PoetryDataSource
except ImportError:
pass
# Register pipeline introspection source
try:
from engine.data_sources.pipeline_introspection import (
PipelineIntrospectionSource,
)
StageRegistry.register("source", PipelineIntrospectionSource)
StageRegistry._categories["source"]["pipeline-inspect"] = (
PipelineIntrospectionSource
)
except ImportError:
pass
try:
from engine.effects.types import EffectPlugin # noqa: F401
except ImportError:
pass
# Register buffer stages (framebuffer, etc.)
try:
from engine.pipeline.stages.framebuffer import FrameBufferStage
StageRegistry.register("effect", FrameBufferStage)
except ImportError:
pass
# Register display stages
_register_display_stages()
StageRegistry._discovered = True
def _register_display_stages() -> None:
"""Register display backends as stages."""
try:
from engine.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 engine.display import DisplayRegistry
from engine.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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"""
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 engine.display import _strip_ansi
from engine.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

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"""
Pipeline UI panel - Interactive controls for pipeline configuration.
Provides:
- Stage list with enable/disable toggles
- Parameter sliders for selected effect
- Keyboard/mouse interaction
This module implements the right-side UI panel that appears in border="ui" mode.
"""
from collections.abc import Callable
from dataclasses import dataclass, field
from typing import Any
@dataclass
class UIConfig:
"""Configuration for the UI panel."""
panel_width: int = 24 # Characters wide
stage_list_height: int = 12 # Number of stages to show at once
param_height: int = 8 # Space for parameter controls
scroll_offset: int = 0 # Scroll position in stage list
start_with_preset_picker: bool = False # Show preset picker immediately
@dataclass
class StageControl:
"""Represents a stage in the UI panel with its toggle state."""
name: str
stage_name: str # Actual pipeline stage name
category: str
enabled: bool = True
selected: bool = False
params: dict[str, Any] = field(default_factory=dict) # Current param values
param_schema: dict[str, dict] = field(default_factory=dict) # Param metadata
def toggle(self) -> None:
"""Toggle enabled state."""
self.enabled = not self.enabled
def get_param(self, name: str) -> Any:
"""Get current parameter value."""
return self.params.get(name)
def set_param(self, name: str, value: Any) -> None:
"""Set parameter value."""
self.params[name] = value
class UIPanel:
"""Interactive UI panel for pipeline configuration.
Manages:
- Stage list with enable/disable checkboxes
- Parameter sliders for selected stage
- Keyboard/mouse event handling
- Scroll state for long stage lists
The panel is rendered as a right border (panel_width characters wide)
alongside the main viewport.
"""
def __init__(self, config: UIConfig | None = None):
self.config = config or UIConfig()
self.stages: dict[str, StageControl] = {} # stage_name -> StageControl
self.scroll_offset = 0
self.selected_stage: str | None = None
self._focused_param: str | None = None # For slider adjustment
self._callbacks: dict[str, Callable] = {} # Event callbacks
self._presets: list[str] = [] # Available preset names
self._current_preset: str = "" # Current preset name
self._show_preset_picker: bool = (
config.start_with_preset_picker if config else False
) # Picker overlay visible
self._show_panel: bool = True # UI panel visibility
self._preset_scroll_offset: int = 0 # Scroll in preset list
def save_state(self) -> dict[str, Any]:
"""Save UI panel state for restoration after pipeline rebuild.
Returns:
Dictionary containing UI panel state that can be restored
"""
# Save stage control states (enabled, params, etc.)
stage_states = {}
for name, ctrl in self.stages.items():
stage_states[name] = {
"enabled": ctrl.enabled,
"selected": ctrl.selected,
"params": dict(ctrl.params), # Copy params dict
}
return {
"stage_states": stage_states,
"scroll_offset": self.scroll_offset,
"selected_stage": self.selected_stage,
"_focused_param": self._focused_param,
"_show_panel": self._show_panel,
"_show_preset_picker": self._show_preset_picker,
"_preset_scroll_offset": self._preset_scroll_offset,
}
def restore_state(self, state: dict[str, Any]) -> None:
"""Restore UI panel state from saved state.
Args:
state: Dictionary containing UI panel state from save_state()
"""
# Restore stage control states
stage_states = state.get("stage_states", {})
for name, stage_state in stage_states.items():
if name in self.stages:
ctrl = self.stages[name]
ctrl.enabled = stage_state.get("enabled", True)
ctrl.selected = stage_state.get("selected", False)
# Restore params
saved_params = stage_state.get("params", {})
for param_name, param_value in saved_params.items():
if param_name in ctrl.params:
ctrl.params[param_name] = param_value
# Restore UI panel state
self.scroll_offset = state.get("scroll_offset", 0)
self.selected_stage = state.get("selected_stage")
self._focused_param = state.get("_focused_param")
self._show_panel = state.get("_show_panel", True)
self._show_preset_picker = state.get("_show_preset_picker", False)
self._preset_scroll_offset = state.get("_preset_scroll_offset", 0)
def register_stage(self, stage: Any, enabled: bool = True) -> StageControl:
"""Register a stage for UI control.
Args:
stage: Stage instance (must have .name, .category attributes)
enabled: Initial enabled state
Returns:
The created StageControl instance
"""
control = StageControl(
name=stage.name,
stage_name=stage.name,
category=stage.category,
enabled=enabled,
)
self.stages[stage.name] = control
return control
def unregister_stage(self, stage_name: str) -> None:
"""Remove a stage from UI control."""
if stage_name in self.stages:
del self.stages[stage_name]
def get_enabled_stages(self) -> list[str]:
"""Get list of stage names that are currently enabled."""
return [name for name, ctrl in self.stages.items() if ctrl.enabled]
def select_stage(self, stage_name: str | None = None) -> None:
"""Select a stage (for parameter editing)."""
if stage_name in self.stages:
self.selected_stage = stage_name
self.stages[stage_name].selected = True
# Deselect others
for name, ctrl in self.stages.items():
if name != stage_name:
ctrl.selected = False
# Auto-focus first parameter when stage selected
if self.stages[stage_name].params:
self._focused_param = next(iter(self.stages[stage_name].params.keys()))
else:
self._focused_param = None
def toggle_stage(self, stage_name: str) -> bool:
"""Toggle a stage's enabled state.
Returns:
New enabled state
"""
if stage_name in self.stages:
ctrl = self.stages[stage_name]
ctrl.enabled = not ctrl.enabled
return ctrl.enabled
return False
def adjust_selected_param(self, delta: float) -> None:
"""Adjust the currently focused parameter of selected stage.
Args:
delta: Amount to add (positive or negative)
"""
if self.selected_stage and self._focused_param:
ctrl = self.stages[self.selected_stage]
if self._focused_param in ctrl.params:
current = ctrl.params[self._focused_param]
# Determine step size from schema
schema = ctrl.param_schema.get(self._focused_param, {})
step = schema.get("step", 0.1 if isinstance(current, float) else 1)
new_val = current + delta * step
# Clamp to min/max if specified
if "min" in schema:
new_val = max(schema["min"], new_val)
if "max" in schema:
new_val = min(schema["max"], new_val)
# Only emit if value actually changed
if new_val != current:
ctrl.params[self._focused_param] = new_val
self._emit_event(
"param_changed",
stage_name=self.selected_stage,
param_name=self._focused_param,
value=new_val,
)
def scroll_stages(self, delta: int) -> None:
"""Scroll the stage list."""
max_offset = max(0, len(self.stages) - self.config.stage_list_height)
self.scroll_offset = max(0, min(max_offset, self.scroll_offset + delta))
def render(self, width: int, height: int) -> list[str]:
"""Render the UI panel.
Args:
width: Total display width (panel uses last `panel_width` cols)
height: Total display height
Returns:
List of strings, each of length `panel_width`, to overlay on right side
"""
panel_width = min(
self.config.panel_width, width - 4
) # Reserve at least 2 for main
lines = []
# If panel is hidden, render empty space
if not self._show_panel:
return [" " * panel_width for _ in range(height)]
# If preset picker is active, render that overlay instead of normal panel
if self._show_preset_picker:
picker_lines = self._render_preset_picker(panel_width)
# Pad to full panel height if needed
while len(picker_lines) < height:
picker_lines.append(" " * panel_width)
return [
line.ljust(panel_width)[:panel_width] for line in picker_lines[:height]
]
# Header
title_line = "" + "" * (panel_width - 2) + ""
lines.append(title_line)
# Stage list section (occupies most of the panel)
list_height = self.config.stage_list_height
stage_names = list(self.stages.keys())
for i in range(list_height):
idx = i + self.scroll_offset
if idx < len(stage_names):
stage_name = stage_names[idx]
ctrl = self.stages[stage_name]
status = "" if ctrl.enabled else ""
sel = ">" if ctrl.selected else " "
# Truncate to fit panel (leave room for ">✓ " prefix and padding)
max_name_len = panel_width - 5
display_name = ctrl.name[:max_name_len]
line = f"{sel}{status} {display_name:<{max_name_len}}"
lines.append(line[:panel_width])
else:
lines.append("" + " " * (panel_width - 2) + "")
# Separator
lines.append("" + "" * (panel_width - 2) + "")
# Parameter section (if stage selected)
if self.selected_stage and self.selected_stage in self.stages:
ctrl = self.stages[self.selected_stage]
if ctrl.params:
# Render each parameter as "name: [=====] value" with focus indicator
for param_name, param_value in ctrl.params.items():
schema = ctrl.param_schema.get(param_name, {})
is_focused = param_name == self._focused_param
# Format value based on type
if isinstance(param_value, float):
val_str = f"{param_value:.2f}"
elif isinstance(param_value, int):
val_str = f"{param_value}"
elif isinstance(param_value, bool):
val_str = str(param_value)
else:
val_str = str(param_value)
# Build parameter line
if (
isinstance(param_value, (int, float))
and "min" in schema
and "max" in schema
):
# Render as slider
min_val = schema["min"]
max_val = schema["max"]
# Normalize to 0-1 for bar length
if max_val != min_val:
ratio = (param_value - min_val) / (max_val - min_val)
else:
ratio = 0
bar_width = (
panel_width - len(param_name) - len(val_str) - 10
) # approx space for "[] : ="
if bar_width < 1:
bar_width = 1
filled = int(round(ratio * bar_width))
bar = "[" + "=" * filled + " " * (bar_width - filled) + "]"
param_line = f"{param_name}: {bar} {val_str}"
else:
# Simple name=value
param_line = f"{param_name}={val_str}"
# Highlight focused parameter
if is_focused:
# Invert colors conceptually - for now use > prefix
param_line = "│> " + param_line[2:]
# Truncate to fit panel width
if len(param_line) > panel_width - 1:
param_line = param_line[: panel_width - 1]
lines.append(param_line + "")
else:
lines.append("│ (no params)".ljust(panel_width - 1) + "")
else:
lines.append("│ (select a stage)".ljust(panel_width - 1) + "")
# Info line before footer
info_parts = []
if self._current_preset:
info_parts.append(f"Preset: {self._current_preset}")
if self._presets:
info_parts.append("[P] presets")
info_str = " | ".join(info_parts) if info_parts else ""
if info_str:
padded = info_str.ljust(panel_width - 2)
lines.append("" + padded + "")
# Footer with instructions
footer_line = self._render_footer(panel_width)
lines.append(footer_line)
# Ensure all lines are exactly panel_width
return [line.ljust(panel_width)[:panel_width] for line in lines]
def _render_footer(self, width: int) -> str:
"""Render footer with key hints."""
if width >= 40:
# Show preset name and key hints
preset_info = (
f"Preset: {self._current_preset}" if self._current_preset else ""
)
hints = " [S]elect [Space]UI [Tab]Params [Arrows/HJKL]Adjust "
if self._presets:
hints += "[P]Preset "
combined = f"{preset_info}{hints}"
if len(combined) > width - 4:
combined = combined[: width - 4]
footer = "" + "" * (width - 2) + ""
return footer # Just the line, we'll add info above in render
else:
return "" + "" * (width - 2) + ""
def execute_command(self, command: dict) -> bool:
"""Execute a command from external control (e.g., WebSocket).
Supported UI commands:
- {"action": "toggle_stage", "stage": "stage_name"}
- {"action": "select_stage", "stage": "stage_name"}
- {"action": "adjust_param", "stage": "stage_name", "param": "param_name", "delta": 0.1}
- {"action": "change_preset", "preset": "preset_name"}
- {"action": "cycle_preset", "direction": 1}
Pipeline Mutation commands are handled by the WebSocket/runner handler:
- {"action": "add_stage", "stage": "stage_name", "type": "source|display|camera|effect"}
- {"action": "remove_stage", "stage": "stage_name"}
- {"action": "replace_stage", "stage": "old_stage_name", "with": "new_stage_type"}
- {"action": "swap_stages", "stage1": "name1", "stage2": "name2"}
- {"action": "move_stage", "stage": "stage_name", "after": "other_stage"|"before": "other_stage"}
- {"action": "enable_stage", "stage": "stage_name"}
- {"action": "disable_stage", "stage": "stage_name"}
- {"action": "cleanup_stage", "stage": "stage_name"}
- {"action": "can_hot_swap", "stage": "stage_name"}
Returns:
True if command was handled, False if not
"""
action = command.get("action")
if action == "toggle_stage":
stage_name = command.get("stage")
if stage_name in self.stages:
self.toggle_stage(stage_name)
self._emit_event(
"stage_toggled",
stage_name=stage_name,
enabled=self.stages[stage_name].enabled,
)
return True
elif action == "select_stage":
stage_name = command.get("stage")
if stage_name in self.stages:
self.select_stage(stage_name)
self._emit_event("stage_selected", stage_name=stage_name)
return True
elif action == "adjust_param":
stage_name = command.get("stage")
param_name = command.get("param")
delta = command.get("delta", 0.1)
if stage_name == self.selected_stage and param_name:
self._focused_param = param_name
self.adjust_selected_param(delta)
self._emit_event(
"param_changed",
stage_name=stage_name,
param_name=param_name,
value=self.stages[stage_name].params.get(param_name),
)
return True
elif action == "change_preset":
preset_name = command.get("preset")
if preset_name in self._presets:
self._current_preset = preset_name
self._emit_event("preset_changed", preset_name=preset_name)
return True
elif action == "cycle_preset":
direction = command.get("direction", 1)
self.cycle_preset(direction)
return True
return False
def process_key_event(self, key: str | int, modifiers: int = 0) -> bool:
"""Process a keyboard event.
Args:
key: Key symbol (e.g., ' ', 's', pygame.K_UP, etc.)
modifiers: Modifier bits (Shift, Ctrl, Alt)
Returns:
True if event was handled, False if not
"""
# Normalize to string for simplicity
key_str = self._normalize_key(key, modifiers)
# Space: toggle UI panel visibility (only when preset picker not active)
if key_str == " " and not self._show_preset_picker:
self._show_panel = not getattr(self, "_show_panel", True)
return True
# Space: toggle UI panel visibility (only when preset picker not active)
if key_str == " " and not self._show_preset_picker:
self._show_panel = not getattr(self, "_show_panel", True)
return True
# S: select stage (cycle)
if key_str == "s" and modifiers == 0:
stages = list(self.stages.keys())
if not stages:
return False
if self.selected_stage:
current_idx = stages.index(self.selected_stage)
next_idx = (current_idx + 1) % len(stages)
else:
next_idx = 0
self.select_stage(stages[next_idx])
return True
# P: toggle preset picker (only when panel is visible)
if key_str == "p" and self._show_panel:
self._show_preset_picker = not self._show_preset_picker
if self._show_preset_picker:
self._preset_scroll_offset = 0
return True
# HJKL or Arrow Keys: scroll stage list, preset list, or adjust param
# vi-style: K=up, J=down (J is actually next line in vi, but we use for down)
# We'll use J for down, K for up, H for left, L for right
elif key_str in ("up", "down", "kp8", "kp2", "j", "k"):
# If preset picker is open, scroll preset list
if self._show_preset_picker:
delta = -1 if key_str in ("up", "kp8", "k") else 1
self._preset_scroll_offset = max(0, self._preset_scroll_offset + delta)
# Ensure scroll doesn't go past end
max_offset = max(0, len(self._presets) - 1)
self._preset_scroll_offset = min(max_offset, self._preset_scroll_offset)
return True
# If param is focused, adjust param value
elif self.selected_stage and self._focused_param:
delta = -1.0 if key_str in ("up", "kp8", "k") else 1.0
self.adjust_selected_param(delta)
return True
# Otherwise scroll stages
else:
delta = -1 if key_str in ("up", "kp8", "k") else 1
self.scroll_stages(delta)
return True
# Left/Right or H/L: adjust param (if param selected)
elif key_str in ("left", "right", "kp4", "kp6", "h", "l"):
if self.selected_stage:
delta = -0.1 if key_str in ("left", "kp4", "h") else 0.1
self.adjust_selected_param(delta)
return True
# Tab: cycle through parameters
if key_str == "tab" and self.selected_stage:
ctrl = self.stages[self.selected_stage]
param_names = list(ctrl.params.keys())
if param_names:
if self._focused_param in param_names:
current_idx = param_names.index(self._focused_param)
next_idx = (current_idx + 1) % len(param_names)
else:
next_idx = 0
self._focused_param = param_names[next_idx]
return True
# Preset picker navigation
if self._show_preset_picker:
# Enter: select currently highlighted preset
if key_str == "return":
if self._presets:
idx = self._preset_scroll_offset
if idx < len(self._presets):
self._current_preset = self._presets[idx]
self._emit_event(
"preset_changed", preset_name=self._current_preset
)
self._show_preset_picker = False
return True
# Escape: close picker without changing
elif key_str == "escape":
self._show_preset_picker = False
return True
# Escape: deselect stage (only when picker not active)
elif key_str == "escape" and self.selected_stage:
self.selected_stage = None
for ctrl in self.stages.values():
ctrl.selected = False
self._focused_param = None
return True
return False
def _normalize_key(self, key: str | int, modifiers: int) -> str:
"""Normalize key to a string identifier."""
# Handle pygame keysyms if imported
try:
import pygame
if isinstance(key, int):
# Map pygame constants to strings
key_map = {
pygame.K_UP: "up",
pygame.K_DOWN: "down",
pygame.K_LEFT: "left",
pygame.K_RIGHT: "right",
pygame.K_SPACE: " ",
pygame.K_ESCAPE: "escape",
pygame.K_s: "s",
pygame.K_w: "w",
# HJKL navigation (vi-style)
pygame.K_h: "h",
pygame.K_j: "j",
pygame.K_k: "k",
pygame.K_l: "l",
}
# Check for keypad keys with KP prefix
if hasattr(pygame, "K_KP8") and key == pygame.K_KP8:
return "kp8"
if hasattr(pygame, "K_KP2") and key == pygame.K_KP2:
return "kp2"
if hasattr(pygame, "K_KP4") and key == pygame.K_KP4:
return "kp4"
if hasattr(pygame, "K_KP6") and key == pygame.K_KP6:
return "kp6"
return key_map.get(key, f"pygame_{key}")
except ImportError:
pass
# Already a string?
if isinstance(key, str):
return key.lower()
return str(key)
def set_event_callback(self, event_type: str, callback: Callable) -> None:
"""Register a callback for UI events.
Args:
event_type: Event type ("stage_toggled", "param_changed", "stage_selected", "preset_changed")
callback: Function to call when event occurs
"""
self._callbacks[event_type] = callback
def _emit_event(self, event_type: str, **data) -> None:
"""Emit an event to registered callbacks."""
callback = self._callbacks.get(event_type)
if callback:
try:
callback(**data)
except Exception:
pass
def set_presets(self, presets: list[str], current: str) -> None:
"""Set available presets and current selection.
Args:
presets: List of preset names
current: Currently active preset name
"""
self._presets = presets
self._current_preset = current
def cycle_preset(self, direction: int = 1) -> str:
"""Cycle to next/previous preset.
Args:
direction: 1 for next, -1 for previous
Returns:
New preset name
"""
if not self._presets:
return self._current_preset
try:
current_idx = self._presets.index(self._current_preset)
except ValueError:
current_idx = 0
next_idx = (current_idx + direction) % len(self._presets)
self._current_preset = self._presets[next_idx]
self._emit_event("preset_changed", preset_name=self._current_preset)
return self._current_preset
def _render_preset_picker(self, panel_width: int) -> list[str]:
"""Render a full-screen preset picker overlay."""
lines = []
picker_height = min(len(self._presets) + 2, self.config.stage_list_height)
# Create a centered box
title = " Select Preset "
box_width = min(40, panel_width - 2)
lines.append("" + "" * (box_width - 2) + "")
lines.append("" + title.center(box_width - 2) + "")
lines.append("" + "" * (box_width - 2) + "")
# List presets with selection
visible_start = self._preset_scroll_offset
visible_end = visible_start + picker_height - 2
for i in range(visible_start, min(visible_end, len(self._presets))):
preset_name = self._presets[i]
is_current = preset_name == self._current_preset
prefix = "" if is_current else " "
line = f"{prefix}{preset_name}"
if len(line) < box_width - 1:
line = line.ljust(box_width - 1)
lines.append(line[: box_width - 1] + "")
# Footer with help
help_text = "[P] close [↑↓] navigate [Enter] select"
footer = "" + "" * (box_width - 2) + ""
lines.append(footer)
lines.append("" + help_text.center(box_width - 2) + "")
lines.append("" + "" * (box_width - 2) + "")
return lines

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"""
Pipeline validation and MVP (Minimum Viable Pipeline) injection.
Provides validation functions to ensure pipelines meet minimum requirements
and can auto-inject sensible defaults when fields are missing or invalid.
"""
from dataclasses import dataclass
from typing import Any
from engine.display import BorderMode, DisplayRegistry
from engine.effects import get_registry
from engine.pipeline.params import PipelineParams
# Known valid values
VALID_SOURCES = ["headlines", "poetry", "fixture", "empty", "pipeline-inspect"]
VALID_CAMERAS = [
"feed",
"scroll",
"vertical",
"horizontal",
"omni",
"floating",
"bounce",
"radial",
"static",
"none",
"",
]
VALID_DISPLAYS = None # Will be populated at runtime from DisplayRegistry
@dataclass
class ValidationResult:
"""Result of validation with changes and warnings."""
valid: bool
warnings: list[str]
changes: list[str]
config: Any # PipelineConfig (forward ref)
params: PipelineParams
# MVP defaults
MVP_DEFAULTS = {
"source": "fixture",
"display": "terminal",
"camera": "static", # Static camera provides camera_y=0 for viewport filtering
"effects": [],
"border": False,
}
def validate_pipeline_config(
config: Any, params: PipelineParams, allow_unsafe: bool = False
) -> ValidationResult:
"""Validate pipeline configuration against MVP requirements.
Args:
config: PipelineConfig object (has source, display, camera, effects fields)
params: PipelineParams object (has border field)
allow_unsafe: If True, don't inject defaults or enforce MVP
Returns:
ValidationResult with validity, warnings, changes, and validated config/params
"""
warnings = []
changes = []
if allow_unsafe:
# Still do basic validation but don't inject defaults
# Always return valid=True when allow_unsafe is set
warnings.extend(_validate_source(config.source))
warnings.extend(_validate_display(config.display))
warnings.extend(_validate_camera(config.camera))
warnings.extend(_validate_effects(config.effects))
warnings.extend(_validate_border(params.border))
return ValidationResult(
valid=True, # Always valid with allow_unsafe
warnings=warnings,
changes=[],
config=config,
params=params,
)
# MVP injection mode
# Source
source_issues = _validate_source(config.source)
if source_issues:
warnings.extend(source_issues)
config.source = MVP_DEFAULTS["source"]
changes.append(f"source → {MVP_DEFAULTS['source']}")
# Display
display_issues = _validate_display(config.display)
if display_issues:
warnings.extend(display_issues)
config.display = MVP_DEFAULTS["display"]
changes.append(f"display → {MVP_DEFAULTS['display']}")
# Camera
camera_issues = _validate_camera(config.camera)
if camera_issues:
warnings.extend(camera_issues)
config.camera = MVP_DEFAULTS["camera"]
changes.append("camera → static (no camera stage)")
# Effects
effect_issues = _validate_effects(config.effects)
if effect_issues:
warnings.extend(effect_issues)
# Only change if all effects are invalid
if len(config.effects) == 0 or all(
e not in _get_valid_effects() for e in config.effects
):
config.effects = MVP_DEFAULTS["effects"]
changes.append("effects → [] (none)")
else:
# Remove invalid effects, keep valid ones
valid_effects = [e for e in config.effects if e in _get_valid_effects()]
if valid_effects != config.effects:
config.effects = valid_effects
changes.append(f"effects → {valid_effects}")
# Border (in params)
border_issues = _validate_border(params.border)
if border_issues:
warnings.extend(border_issues)
params.border = MVP_DEFAULTS["border"]
changes.append(f"border → {MVP_DEFAULTS['border']}")
valid = len(warnings) == 0
if changes:
# If we made changes, pipeline should be valid now
valid = True
return ValidationResult(
valid=valid,
warnings=warnings,
changes=changes,
config=config,
params=params,
)
def _validate_source(source: str) -> list[str]:
"""Validate source field."""
if not source:
return ["source is empty"]
if source not in VALID_SOURCES:
return [f"unknown source '{source}', valid sources: {VALID_SOURCES}"]
return []
def _validate_display(display: str) -> list[str]:
"""Validate display field."""
if not display:
return ["display is empty"]
# Check if display is available (lazy load registry)
try:
available = DisplayRegistry.list_backends()
if display not in available:
return [f"display '{display}' not available, available: {available}"]
except Exception as e:
return [f"error checking display availability: {e}"]
return []
def _validate_camera(camera: str | None) -> list[str]:
"""Validate camera field."""
if camera is None:
return ["camera is None"]
# Empty string is valid (static, no camera stage)
if camera == "":
return []
if camera not in VALID_CAMERAS:
return [f"unknown camera '{camera}', valid cameras: {VALID_CAMERAS}"]
return []
def _get_valid_effects() -> set[str]:
"""Get set of valid effect names."""
registry = get_registry()
return set(registry.list_all().keys())
def _validate_effects(effects: list[str]) -> list[str]:
"""Validate effects list."""
if effects is None:
return ["effects is None"]
valid_effects = _get_valid_effects()
issues = []
for effect in effects:
if effect not in valid_effects:
issues.append(
f"unknown effect '{effect}', valid effects: {sorted(valid_effects)}"
)
return issues
def _validate_border(border: bool | BorderMode) -> list[str]:
"""Validate border field."""
if isinstance(border, bool):
return []
if isinstance(border, BorderMode):
return []
return [f"invalid border value, must be bool or BorderMode, got {type(border)}"]
def get_mvp_summary(config: Any, params: PipelineParams) -> str:
"""Get a human-readable summary of the MVP pipeline configuration."""
camera_text = "none" if not config.camera else config.camera
effects_text = "none" if not config.effects else ", ".join(config.effects)
return (
f"MVP Pipeline Configuration:\n"
f" Source: {config.source}\n"
f" Display: {config.display}\n"
f" Camera: {camera_text} (static if empty)\n"
f" Effects: {effects_text}\n"
f" Border: {params.border}"
)