forked from genewildish/Mainline
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:
102
engine/effects/plugins/hud.py
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102
engine/effects/plugins/hud.py
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from engine.effects.types import (
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EffectConfig,
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EffectContext,
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EffectPlugin,
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PartialUpdate,
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)
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class HudEffect(EffectPlugin):
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name = "hud"
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config = EffectConfig(enabled=True, intensity=1.0)
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supports_partial_updates = True # Enable partial update optimization
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# Cache last HUD content to detect changes
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_last_hud_content: tuple | None = None
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def process_partial(
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self, buf: list[str], ctx: EffectContext, partial: PartialUpdate
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) -> list[str]:
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# If full buffer requested, process normally
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if partial.full_buffer:
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return self.process(buf, ctx)
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# If HUD rows (0, 1, 2) aren't dirty, skip processing
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if partial.dirty:
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hud_rows = {0, 1, 2}
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dirty_hud_rows = partial.dirty & hud_rows
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if not dirty_hud_rows:
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return buf # Nothing for HUD to do
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# Proceed with full processing
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return self.process(buf, ctx)
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def process(self, buf: list[str], ctx: EffectContext) -> list[str]:
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result = list(buf)
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# Read metrics from pipeline context (first-class citizen)
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# Falls back to global monitor for backwards compatibility
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metrics = ctx.get_state("metrics")
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if not metrics:
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# Fallback to global monitor for backwards compatibility
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from engine.effects.performance import get_monitor
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monitor = get_monitor()
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if monitor:
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stats = monitor.get_stats()
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if stats and "pipeline" in stats:
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metrics = stats
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fps = 0.0
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frame_time = 0.0
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if metrics:
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if "error" in metrics:
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pass # No metrics available yet
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elif "pipeline" in metrics:
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frame_time = metrics["pipeline"].get("avg_ms", 0.0)
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frame_count = metrics.get("frame_count", 0)
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if frame_count > 0 and frame_time > 0:
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fps = 1000.0 / frame_time
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elif "avg_ms" in metrics:
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# Direct metrics format
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frame_time = metrics.get("avg_ms", 0.0)
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frame_count = metrics.get("frame_count", 0)
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if frame_count > 0 and frame_time > 0:
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fps = 1000.0 / frame_time
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effect_name = self.config.params.get("display_effect", "none")
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effect_intensity = self.config.params.get("display_intensity", 0.0)
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hud_lines = []
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hud_lines.append(
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f"\033[1;1H\033[38;5;46mMAINLINE DEMO\033[0m \033[38;5;245m|\033[0m \033[38;5;39mFPS: {fps:.1f}\033[0m \033[38;5;245m|\033[0m \033[38;5;208m{frame_time:.1f}ms\033[0m"
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)
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bar_width = 20
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filled = int(bar_width * effect_intensity)
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bar = (
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"\033[38;5;82m"
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+ "█" * filled
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+ "\033[38;5;240m"
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+ "░" * (bar_width - filled)
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+ "\033[0m"
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)
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hud_lines.append(
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f"\033[2;1H\033[38;5;45mEFFECT:\033[0m \033[1;38;5;227m{effect_name:12s}\033[0m \033[38;5;245m|\033[0m {bar} \033[38;5;245m|\033[0m \033[38;5;219m{effect_intensity * 100:.0f}%\033[0m"
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)
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# Get pipeline order from context
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pipeline_order = ctx.get_state("pipeline_order")
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pipeline_str = ",".join(pipeline_order) if pipeline_order else "(none)"
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hud_lines.append(f"\033[3;1H\033[38;5;44mPIPELINE:\033[0m {pipeline_str}")
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for i, line in enumerate(hud_lines):
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if i < len(result):
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result[i] = line
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else:
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result.append(line)
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return result
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def configure(self, config: EffectConfig) -> None:
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self.config = config
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