forked from genewildish/Mainline
David Gwilliam
238bac1bb2
- Implements pipeline hot-rebuild with state preservation (issue #43) - Adds auto-injection of MVP stages for missing capabilities - Adds radial camera mode for polar coordinate scanning - Adds afterimage and motionblur effects using framebuffer history - Adds comprehensive acceptance tests for camera modes and pipeline rebuild - Updates presets.toml with new effect configurations Related to: #35 (Pipeline Mutation API epic) Closes: #43, #44, #45
113 lines
3.2 KiB
Python
113 lines
3.2 KiB
Python
"""Adapter wrapping EffectPlugin as a Stage."""
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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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Supports capability-based dependencies through the dependencies parameter.
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"""
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def __init__(
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self,
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effect_plugin,
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name: str = "effect",
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dependencies: set[str] | None = None,
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):
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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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self._dependencies = dependencies or set()
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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 self._dependencies
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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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