feat(effects): add performance monitoring to effect pipeline
- Add PerformanceMonitor to collect per-effect timings - Track effect duration (ms), buffer chars in/out per frame - Store last 60 frames in ring buffer - Add /effects stats NTFY command to view performance data - Add tests for performance monitoring system
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@@ -1,11 +1,22 @@
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import time
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from engine.effects.performance import PerformanceMonitor, get_monitor
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from engine.effects.registry import EffectRegistry
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from engine.effects.types import EffectContext
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class EffectChain:
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def __init__(self, registry: EffectRegistry):
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def __init__(
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self, registry: EffectRegistry, monitor: PerformanceMonitor | None = None
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):
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self._registry = registry
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self._order: list[str] = []
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self._monitor = monitor
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def _get_monitor(self) -> PerformanceMonitor:
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if self._monitor is not None:
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return self._monitor
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return get_monitor()
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def set_order(self, names: list[str]) -> None:
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self._order = list(names)
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@@ -36,12 +47,25 @@ class EffectChain:
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return True
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def process(self, buf: list[str], ctx: EffectContext) -> list[str]:
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monitor = self._get_monitor()
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frame_number = ctx.frame_number
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monitor.start_frame(frame_number)
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frame_start = time.perf_counter()
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result = list(buf)
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for name in self._order:
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plugin = self._registry.get(name)
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if plugin and plugin.config.enabled:
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chars_in = sum(len(line) for line in result)
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effect_start = time.perf_counter()
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try:
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result = plugin.process(result, ctx)
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except Exception:
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plugin.config.enabled = False
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elapsed = time.perf_counter() - effect_start
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chars_out = sum(len(line) for line in result)
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monitor.record_effect(name, elapsed * 1000, chars_in, chars_out)
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total_elapsed = time.perf_counter() - frame_start
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monitor.end_frame(frame_number, total_elapsed * 1000)
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return result
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