David Gwilliam
b926b346ad
- Fix TerminalDisplay: add screen clear each frame (cursor home + erase down) - Fix CameraStage: use set_canvas_size instead of read-only viewport properties - Fix Glitch effect: preserve visible line lengths, remove cursor positioning - Fix Fade effect: return original line when fade=0 instead of empty string - Fix Noise effect: use input line length instead of terminal_width - Remove HUD effect from all presets (redundant with border FPS display) - Add regression tests for effect dimension stability - Add docs/ARCHITECTURE.md with Mermaid diagrams - Add mise tasks: diagram-ascii, diagram-validate, diagram-check - Move markdown docs to docs/ (ARCHITECTURE, Refactor, hardware specs) - Remove redundant requirements files (use pyproject.toml) - Add *.dot and *.png to .gitignore Closes #25
846 lines
26 KiB
Python
846 lines
26 KiB
Python
"""
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Stage adapters - Bridge existing components to the Stage interface.
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This module provides adapters that wrap existing components
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(EffectPlugin, Display, DataSource, Camera) as Stage implementations.
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"""
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from typing import Any
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from engine.pipeline.core import PipelineContext, Stage
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class EffectPluginStage(Stage):
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"""Adapter wrapping EffectPlugin as a Stage."""
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def __init__(self, effect_plugin, name: str = "effect"):
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self._effect = effect_plugin
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self.name = name
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self.category = "effect"
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self.optional = False
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@property
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def stage_type(self) -> str:
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"""Return stage_type based on effect name.
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HUD effects are overlays.
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"""
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if self.name == "hud":
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return "overlay"
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return self.category
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@property
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def render_order(self) -> int:
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"""Return render_order based on effect type.
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HUD effects have high render_order to appear on top.
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"""
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if self.name == "hud":
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return 100 # High order for overlays
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return 0
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@property
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def is_overlay(self) -> bool:
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"""Return True for HUD effects.
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HUD is an overlay - it composes on top of the buffer
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rather than transforming it for the next stage.
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"""
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return self.name == "hud"
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@property
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def capabilities(self) -> set[str]:
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return {f"effect.{self.name}"}
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@property
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def dependencies(self) -> set[str]:
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return set()
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER}
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER}
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Process data through the effect."""
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if data is None:
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return None
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from engine.effects.types import EffectContext, apply_param_bindings
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w = ctx.params.viewport_width if ctx.params else 80
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h = ctx.params.viewport_height if ctx.params else 24
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frame = ctx.params.frame_number if ctx.params else 0
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effect_ctx = EffectContext(
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terminal_width=w,
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terminal_height=h,
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scroll_cam=0,
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ticker_height=h,
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camera_x=0,
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mic_excess=0.0,
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grad_offset=(frame * 0.01) % 1.0,
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frame_number=frame,
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has_message=False,
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items=ctx.get("items", []),
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)
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# Copy sensor state from PipelineContext to EffectContext
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for key, value in ctx.state.items():
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if key.startswith("sensor."):
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effect_ctx.set_state(key, value)
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# Copy metrics from PipelineContext to EffectContext
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if "metrics" in ctx.state:
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effect_ctx.set_state("metrics", ctx.state["metrics"])
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# Apply sensor param bindings if effect has them
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if hasattr(self._effect, "param_bindings") and self._effect.param_bindings:
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bound_config = apply_param_bindings(self._effect, effect_ctx)
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self._effect.configure(bound_config)
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return self._effect.process(data, effect_ctx)
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class DisplayStage(Stage):
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"""Adapter wrapping Display as a Stage."""
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def __init__(self, display, name: str = "terminal"):
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self._display = display
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self.name = name
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self.category = "display"
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self.optional = False
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@property
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def capabilities(self) -> set[str]:
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return {"display.output"}
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@property
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def dependencies(self) -> set[str]:
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return {"render.output"} # Display needs rendered content
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER} # Display consumes rendered text
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.NONE} # Display is a terminal stage (no output)
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def init(self, ctx: PipelineContext) -> bool:
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w = ctx.params.viewport_width if ctx.params else 80
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h = ctx.params.viewport_height if ctx.params else 24
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result = self._display.init(w, h, reuse=False)
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return result is not False
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Output data to display."""
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if data is not None:
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self._display.show(data)
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return data
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def cleanup(self) -> None:
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self._display.cleanup()
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class DataSourceStage(Stage):
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"""Adapter wrapping DataSource as a Stage."""
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def __init__(self, data_source, name: str = "headlines"):
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self._source = data_source
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self.name = name
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self.category = "source"
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self.optional = False
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@property
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def capabilities(self) -> set[str]:
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return {f"source.{self.name}"}
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@property
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def dependencies(self) -> set[str]:
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return set()
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.NONE} # Sources don't take input
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Fetch data from source."""
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if hasattr(self._source, "get_items"):
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return self._source.get_items()
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return data
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class PassthroughStage(Stage):
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"""Simple stage that passes data through unchanged.
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Used for sources that already provide the data in the correct format
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(e.g., pipeline introspection that outputs text directly).
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"""
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def __init__(self, name: str = "passthrough"):
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self.name = name
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self.category = "render"
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self.optional = True
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@property
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def stage_type(self) -> str:
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return "render"
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@property
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def capabilities(self) -> set[str]:
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return {"render.output"}
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@property
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def dependencies(self) -> set[str]:
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return {"source"}
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Pass data through unchanged."""
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return data
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class SourceItemsToBufferStage(Stage):
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"""Convert SourceItem objects to text buffer.
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Takes a list of SourceItem objects and extracts their content,
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splitting on newlines to create a proper text buffer for display.
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"""
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def __init__(self, name: str = "items-to-buffer"):
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self.name = name
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self.category = "render"
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self.optional = True
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@property
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def stage_type(self) -> str:
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return "render"
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@property
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def capabilities(self) -> set[str]:
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return {"render.output"}
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@property
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def dependencies(self) -> set[str]:
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return {"source"}
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER}
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Convert SourceItem list to text buffer."""
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if data is None:
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return []
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# If already a list of strings, return as-is
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if isinstance(data, list) and data and isinstance(data[0], str):
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return data
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# If it's a list of SourceItem, extract content
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from engine.data_sources import SourceItem
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if isinstance(data, list):
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result = []
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for item in data:
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if isinstance(item, SourceItem):
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# Split content by newline to get individual lines
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lines = item.content.split("\n")
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result.extend(lines)
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elif hasattr(item, "content"): # Has content attribute
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lines = str(item.content).split("\n")
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result.extend(lines)
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else:
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result.append(str(item))
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return result
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# Single item
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if isinstance(data, SourceItem):
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return data.content.split("\n")
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return [str(data)]
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class CameraStage(Stage):
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"""Adapter wrapping Camera as a Stage."""
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def __init__(self, camera, name: str = "vertical"):
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self._camera = camera
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self.name = name
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self.category = "camera"
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self.optional = True
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@property
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def capabilities(self) -> set[str]:
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return {"camera"}
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@property
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def dependencies(self) -> set[str]:
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return {"render.output"} # Depend on rendered output from font or render stage
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER} # Camera works on rendered text
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER}
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Apply camera transformation to data."""
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if data is None or (isinstance(data, list) and len(data) == 0):
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return data
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if hasattr(self._camera, "apply"):
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viewport_width = ctx.params.viewport_width if ctx.params else 80
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viewport_height = ctx.params.viewport_height if ctx.params else 24
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buffer_height = len(data) if isinstance(data, list) else 0
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# Get global layout height for canvas (enables full scrolling range)
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total_layout_height = ctx.get("total_layout_height", buffer_height)
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# Preserve camera's configured canvas width, but ensure it's at least viewport_width
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# This allows horizontal/omni/floating/bounce cameras to scroll properly
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canvas_width = max(
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viewport_width, getattr(self._camera, "canvas_width", viewport_width)
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)
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# Update camera's viewport dimensions so it knows its actual bounds
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# Set canvas size to achieve desired viewport (viewport = canvas / zoom)
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if hasattr(self._camera, "set_canvas_size"):
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self._camera.set_canvas_size(
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width=int(viewport_width * self._camera.zoom),
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height=int(viewport_height * self._camera.zoom),
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)
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# Set canvas to full layout height so camera can scroll through all content
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self._camera.set_canvas_size(width=canvas_width, height=total_layout_height)
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# Update camera position (scroll) - uses global canvas for clamping
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if hasattr(self._camera, "update"):
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self._camera.update(1 / 60)
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# Store camera_y in context for ViewportFilterStage (global y position)
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ctx.set("camera_y", self._camera.y)
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# Apply camera viewport slicing to the partial buffer
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# The buffer starts at render_offset_y in global coordinates
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render_offset_y = ctx.get("render_offset_y", 0)
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# Temporarily shift camera to local buffer coordinates for apply()
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real_y = self._camera.y
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local_y = max(0, real_y - render_offset_y)
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# Temporarily shrink canvas to local buffer size so apply() works correctly
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self._camera.set_canvas_size(width=canvas_width, height=buffer_height)
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self._camera.y = local_y
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# Apply slicing
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result = self._camera.apply(data, viewport_width, viewport_height)
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# Restore global canvas and camera position for next frame
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self._camera.set_canvas_size(width=canvas_width, height=total_layout_height)
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self._camera.y = real_y
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return result
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return data
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def cleanup(self) -> None:
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if hasattr(self._camera, "reset"):
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self._camera.reset()
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class ViewportFilterStage(Stage):
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"""Stage that limits items based on layout calculation.
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Computes cumulative y-offsets for all items using cheap height estimation,
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then returns only items that overlap the camera's viewport window.
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This prevents FontStage from rendering thousands of items when only a few
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are visible, while still allowing camera scrolling through all content.
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"""
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def __init__(self, name: str = "viewport-filter"):
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self.name = name
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self.category = "filter"
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self.optional = False
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self._cached_count = 0
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self._layout: list[tuple[int, int]] = []
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@property
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def stage_type(self) -> str:
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return "filter"
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@property
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def capabilities(self) -> set[str]:
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return {f"filter.{self.name}"}
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@property
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def dependencies(self) -> set[str]:
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return {"source"}
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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def process(self, data: Any, ctx: PipelineContext) -> Any:
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"""Filter items based on layout and camera position."""
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if data is None or not isinstance(data, list):
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return data
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viewport_height = ctx.params.viewport_height if ctx.params else 24
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viewport_width = ctx.params.viewport_width if ctx.params else 80
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camera_y = ctx.get("camera_y", 0)
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# Recompute layout when item count OR viewport width changes
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cached_width = getattr(self, "_cached_width", None)
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if len(data) != self._cached_count or cached_width != viewport_width:
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self._layout = []
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y = 0
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from engine.render.blocks import estimate_block_height
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for item in data:
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if hasattr(item, "content"):
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title = item.content
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elif isinstance(item, tuple):
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title = str(item[0]) if item else ""
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else:
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title = str(item)
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h = estimate_block_height(title, viewport_width)
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self._layout.append((y, h))
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y += h
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self._cached_count = len(data)
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self._cached_width = viewport_width
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# Find items visible in [camera_y - buffer, camera_y + viewport_height + buffer]
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buffer_zone = viewport_height
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vis_start = max(0, camera_y - buffer_zone)
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vis_end = camera_y + viewport_height + buffer_zone
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visible_items = []
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render_offset_y = 0
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first_visible_found = False
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for i, (start_y, height) in enumerate(self._layout):
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item_end = start_y + height
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if item_end > vis_start and start_y < vis_end:
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if not first_visible_found:
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render_offset_y = start_y
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first_visible_found = True
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visible_items.append(data[i])
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# Compute total layout height for the canvas
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total_layout_height = 0
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if self._layout:
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last_start, last_height = self._layout[-1]
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total_layout_height = last_start + last_height
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# Store metadata for CameraStage
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ctx.set("render_offset_y", render_offset_y)
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ctx.set("total_layout_height", total_layout_height)
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# Always return at least one item to avoid empty buffer errors
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return visible_items if visible_items else data[:1]
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class FontStage(Stage):
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"""Stage that applies font rendering to content.
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FontStage is a Transform that takes raw content (text, headlines)
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and renders it to an ANSI-formatted buffer using the configured font.
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This decouples font rendering from data sources, allowing:
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- Different fonts per source
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- Runtime font swapping
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- Font as a pipeline stage
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Attributes:
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font_path: Path to font file (None = use config default)
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font_size: Font size in points (None = use config default)
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font_ref: Reference name for registered font ("default", "cjk", etc.)
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"""
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def __init__(
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self,
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font_path: str | None = None,
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font_size: int | None = None,
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font_ref: str | None = "default",
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name: str = "font",
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):
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self.name = name
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self.category = "transform"
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self.optional = False
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self._font_path = font_path
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self._font_size = font_size
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self._font_ref = font_ref
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self._font = None
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self._render_cache: dict[tuple[str, str, str, int], list[str]] = {}
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@property
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def stage_type(self) -> str:
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return "transform"
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@property
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def capabilities(self) -> set[str]:
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return {f"transform.{self.name}", "render.output"}
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@property
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def dependencies(self) -> set[str]:
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return {"source"}
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@property
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def inlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.SOURCE_ITEMS}
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@property
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def outlet_types(self) -> set:
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from engine.pipeline.core import DataType
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return {DataType.TEXT_BUFFER}
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def init(self, ctx: PipelineContext) -> bool:
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"""Initialize font from config or path."""
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from engine import config
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if self._font_path:
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|
try:
|
|
from PIL import ImageFont
|
|
|
|
size = self._font_size or config.FONT_SZ
|
|
self._font = ImageFont.truetype(self._font_path, size)
|
|
except Exception:
|
|
return False
|
|
return True
|
|
|
|
def process(self, data: Any, ctx: PipelineContext) -> Any:
|
|
"""Render content with font to buffer."""
|
|
if data is None:
|
|
return None
|
|
|
|
from engine.render import make_block
|
|
|
|
w = ctx.params.viewport_width if ctx.params else 80
|
|
|
|
# If data is already a list of strings (buffer), return as-is
|
|
if isinstance(data, list) and data and isinstance(data[0], str):
|
|
return data
|
|
|
|
# If data is a list of items, render each with font
|
|
if isinstance(data, list):
|
|
result = []
|
|
for item in data:
|
|
# Handle SourceItem or tuple (title, source, timestamp)
|
|
if hasattr(item, "content"):
|
|
title = item.content
|
|
src = getattr(item, "source", "unknown")
|
|
ts = getattr(item, "timestamp", "0")
|
|
elif isinstance(item, tuple):
|
|
title = item[0] if len(item) > 0 else ""
|
|
src = item[1] if len(item) > 1 else "unknown"
|
|
ts = str(item[2]) if len(item) > 2 else "0"
|
|
else:
|
|
title = str(item)
|
|
src = "unknown"
|
|
ts = "0"
|
|
|
|
# Check cache first
|
|
cache_key = (title, src, ts, w)
|
|
if cache_key in self._render_cache:
|
|
result.extend(self._render_cache[cache_key])
|
|
continue
|
|
|
|
try:
|
|
block_lines, color_code, meta_idx = make_block(title, src, ts, w)
|
|
self._render_cache[cache_key] = block_lines
|
|
result.extend(block_lines)
|
|
except Exception:
|
|
result.append(title)
|
|
|
|
return result
|
|
|
|
return data
|
|
|
|
|
|
class ImageToTextStage(Stage):
|
|
"""Transform that converts PIL Image to ASCII text buffer.
|
|
|
|
Takes an ImageItem or PIL Image and converts it to a text buffer
|
|
using ASCII character density mapping. The output can be displayed
|
|
directly or further processed by effects.
|
|
|
|
Attributes:
|
|
width: Output width in characters
|
|
height: Output height in characters
|
|
charset: Character set for density mapping (default: simple ASCII)
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
width: int = 80,
|
|
height: int = 24,
|
|
charset: str = " .:-=+*#%@",
|
|
name: str = "image-to-text",
|
|
):
|
|
self.name = name
|
|
self.category = "transform"
|
|
self.optional = False
|
|
self.width = width
|
|
self.height = height
|
|
self.charset = charset
|
|
|
|
@property
|
|
def stage_type(self) -> str:
|
|
return "transform"
|
|
|
|
@property
|
|
def inlet_types(self) -> set:
|
|
from engine.pipeline.core import DataType
|
|
|
|
return {DataType.PIL_IMAGE} # Accepts PIL Image objects or ImageItem
|
|
|
|
@property
|
|
def outlet_types(self) -> set:
|
|
from engine.pipeline.core import DataType
|
|
|
|
return {DataType.TEXT_BUFFER}
|
|
|
|
@property
|
|
def capabilities(self) -> set[str]:
|
|
return {f"transform.{self.name}", "render.output"}
|
|
|
|
@property
|
|
def dependencies(self) -> set[str]:
|
|
return {"source"}
|
|
|
|
def process(self, data: Any, ctx: PipelineContext) -> Any:
|
|
"""Convert PIL Image to text buffer."""
|
|
if data is None:
|
|
return None
|
|
|
|
from engine.data_sources.sources import ImageItem
|
|
|
|
# Extract PIL Image from various input types
|
|
pil_image = None
|
|
|
|
if isinstance(data, ImageItem) or hasattr(data, "image"):
|
|
pil_image = data.image
|
|
else:
|
|
# Assume it's already a PIL Image
|
|
pil_image = data
|
|
|
|
# Check if it's a PIL Image
|
|
if not hasattr(pil_image, "resize"):
|
|
# Not a PIL Image, return as-is
|
|
return data if isinstance(data, list) else [str(data)]
|
|
|
|
# Convert to grayscale and resize
|
|
try:
|
|
if pil_image.mode != "L":
|
|
pil_image = pil_image.convert("L")
|
|
except Exception:
|
|
return ["[image conversion error]"]
|
|
|
|
# Calculate cell aspect ratio correction (characters are taller than wide)
|
|
aspect_ratio = 0.5
|
|
target_w = self.width
|
|
target_h = int(self.height * aspect_ratio)
|
|
|
|
# Resize image to target dimensions
|
|
try:
|
|
resized = pil_image.resize((target_w, target_h))
|
|
except Exception:
|
|
return ["[image resize error]"]
|
|
|
|
# Map pixels to characters
|
|
result = []
|
|
pixels = list(resized.getdata())
|
|
|
|
for row in range(target_h):
|
|
line = ""
|
|
for col in range(target_w):
|
|
idx = row * target_w + col
|
|
if idx < len(pixels):
|
|
brightness = pixels[idx]
|
|
char_idx = int((brightness / 255) * (len(self.charset) - 1))
|
|
line += self.charset[char_idx]
|
|
else:
|
|
line += " "
|
|
result.append(line)
|
|
|
|
# Pad or trim to exact height
|
|
while len(result) < self.height:
|
|
result.append(" " * self.width)
|
|
result = result[: self.height]
|
|
|
|
# Pad lines to width
|
|
result = [line.ljust(self.width) for line in result]
|
|
|
|
return result
|
|
|
|
|
|
def create_stage_from_display(display, name: str = "terminal") -> DisplayStage:
|
|
"""Create a Stage from a Display instance."""
|
|
return DisplayStage(display, name)
|
|
|
|
|
|
def create_stage_from_effect(effect_plugin, name: str) -> EffectPluginStage:
|
|
"""Create a Stage from an EffectPlugin."""
|
|
return EffectPluginStage(effect_plugin, name)
|
|
|
|
|
|
def create_stage_from_source(data_source, name: str = "headlines") -> DataSourceStage:
|
|
"""Create a Stage from a DataSource."""
|
|
return DataSourceStage(data_source, name)
|
|
|
|
|
|
def create_stage_from_camera(camera, name: str = "vertical") -> CameraStage:
|
|
"""Create a Stage from a Camera."""
|
|
return CameraStage(camera, 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 for rendering content with fonts."""
|
|
return FontStage(
|
|
font_path=font_path, font_size=font_size, font_ref=font_ref, name=name
|
|
)
|
|
|
|
|
|
class CanvasStage(Stage):
|
|
"""Stage that manages a Canvas for rendering.
|
|
|
|
CanvasStage creates and manages a 2D canvas that can hold rendered content.
|
|
Other stages can write to and read from the canvas via the pipeline context.
|
|
|
|
This enables:
|
|
- Pre-rendering content off-screen
|
|
- Multiple cameras viewing different regions
|
|
- Smooth scrolling (camera moves, content stays)
|
|
- Layer compositing
|
|
|
|
Usage:
|
|
- Add CanvasStage to pipeline
|
|
- Other stages access canvas via: ctx.get("canvas")
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
width: int = 80,
|
|
height: int = 24,
|
|
name: str = "canvas",
|
|
):
|
|
self.name = name
|
|
self.category = "system"
|
|
self.optional = True
|
|
self._width = width
|
|
self._height = height
|
|
self._canvas = None
|
|
|
|
@property
|
|
def stage_type(self) -> str:
|
|
return "system"
|
|
|
|
@property
|
|
def capabilities(self) -> set[str]:
|
|
return {"canvas"}
|
|
|
|
@property
|
|
def dependencies(self) -> set[str]:
|
|
return set()
|
|
|
|
@property
|
|
def inlet_types(self) -> set:
|
|
from engine.pipeline.core import DataType
|
|
|
|
return {DataType.ANY}
|
|
|
|
@property
|
|
def outlet_types(self) -> set:
|
|
from engine.pipeline.core import DataType
|
|
|
|
return {DataType.ANY}
|
|
|
|
def init(self, ctx: PipelineContext) -> bool:
|
|
from engine.canvas import Canvas
|
|
|
|
self._canvas = Canvas(width=self._width, height=self._height)
|
|
ctx.set("canvas", self._canvas)
|
|
return True
|
|
|
|
def process(self, data: Any, ctx: PipelineContext) -> Any:
|
|
"""Pass through data but ensure canvas is in context."""
|
|
if self._canvas is None:
|
|
from engine.canvas import Canvas
|
|
|
|
self._canvas = Canvas(width=self._width, height=self._height)
|
|
ctx.set("canvas", self._canvas)
|
|
|
|
# Get dirty regions from canvas and expose via context
|
|
# Effects can access via ctx.get_state("canvas.dirty_rows")
|
|
if self._canvas.is_dirty():
|
|
dirty_rows = self._canvas.get_dirty_rows()
|
|
ctx.set_state("canvas.dirty_rows", dirty_rows)
|
|
ctx.set_state("canvas.dirty_regions", self._canvas.get_dirty_regions())
|
|
|
|
return data
|
|
|
|
def get_canvas(self):
|
|
"""Get the canvas instance."""
|
|
return self._canvas
|
|
|
|
def cleanup(self) -> None:
|
|
self._canvas = None
|