feat(pipeline): improve new pipeline architecture

- Add TransformDataSource for filtering/mapping source items
- Add MetricsDataSource for rendering live pipeline metrics as ASCII art
- Fix display stage registration in StageRegistry
- Register sources with both class name and simple name aliases
- Fix DisplayStage.init() to pass reuse parameter
- Simplify create_default_pipeline to use DataSourceStage wrapper
- Set pygame as default display
- Remove old pipeline tasks from mise.toml
- Add tests for new pipeline architecture

engine/sources_v2.py

@@ -9,6 +9,7 @@ Each data source implements a common interface:
 """
 
 from abc import ABC, abstractmethod
+from collections.abc import Callable
 from dataclasses import dataclass
 from typing import Any
 
@@ -125,6 +126,115 @@ class PipelineDataSource(DataSource):
         return self.fetch()
 
 
+class MetricsDataSource(DataSource):
+    """Data source that renders live pipeline metrics as ASCII art.
+
+    Wraps a Pipeline and displays active stages with their average execution
+    time and approximate FPS impact. Updates lazily when camera is about to
+    focus on a new node (frame % 15 == 12).
+    """
+
+    def __init__(
+        self,
+        pipeline: Any,
+        viewport_width: int = 80,
+        viewport_height: int = 24,
+    ):
+        self.pipeline = pipeline
+        self.viewport_width = viewport_width
+        self.viewport_height = viewport_height
+        self.frame = 0
+        self._cached_metrics: dict | None = None
+
+    @property
+    def name(self) -> str:
+        return "metrics"
+
+    @property
+    def is_dynamic(self) -> bool:
+        return True
+
+    def fetch(self) -> list[SourceItem]:
+        if self.frame % 15 == 12:
+            self._cached_metrics = None
+
+        if self._cached_metrics is None:
+            self._cached_metrics = self._fetch_metrics()
+
+        buffer = self._render_metrics(self._cached_metrics)
+        self.frame += 1
+        content = "\n".join(buffer)
+        return [
+            SourceItem(content=content, source="metrics", timestamp=f"f{self.frame}")
+        ]
+
+    def _fetch_metrics(self) -> dict:
+        if hasattr(self.pipeline, "get_metrics_summary"):
+            metrics = self.pipeline.get_metrics_summary()
+            if "error" not in metrics:
+                return metrics
+        return {"stages": {}, "pipeline": {"avg_ms": 0}}
+
+    def _render_metrics(self, metrics: dict) -> list[str]:
+        stages = metrics.get("stages", {})
+
+        if not stages:
+            return self._render_empty()
+
+        active_stages = {
+            name: stats for name, stats in stages.items() if stats.get("avg_ms", 0) > 0
+        }
+
+        if not active_stages:
+            return self._render_empty()
+
+        total_avg = sum(s["avg_ms"] for s in active_stages.values())
+        if total_avg == 0:
+            total_avg = 1
+
+        lines: list[str] = []
+        lines.append("═" * self.viewport_width)
+        lines.append(" PIPELINE METRICS ".center(self.viewport_width, "─"))
+        lines.append("─" * self.viewport_width)
+
+        header = f"{'STAGE':<20} {'AVG_MS':>8} {'FPS %':>8}"
+        lines.append(header)
+        lines.append("─" * self.viewport_width)
+
+        for name, stats in sorted(active_stages.items()):
+            avg_ms = stats.get("avg_ms", 0)
+            fps_impact = (avg_ms / 16.67) * 100 if avg_ms > 0 else 0
+
+            row = f"{name:<20} {avg_ms:>7.2f} {fps_impact:>7.1f}%"
+            lines.append(row[: self.viewport_width])
+
+        lines.append("─" * self.viewport_width)
+        total_row = (
+            f"{'TOTAL':<20} {total_avg:>7.2f} {(total_avg / 16.67) * 100:>7.1f}%"
+        )
+        lines.append(total_row[: self.viewport_width])
+        lines.append("─" * self.viewport_width)
+        lines.append(
+            f" Frame:{self.frame:04d}  Cache:{'HIT' if self._cached_metrics else 'MISS'}"
+        )
+
+        while len(lines) < self.viewport_height:
+            lines.append(" " * self.viewport_width)
+
+        return lines[: self.viewport_height]
+
+    def _render_empty(self) -> list[str]:
+        lines = [" " * self.viewport_width for _ in range(self.viewport_height)]
+        msg = "No metrics available"
+        y = self.viewport_height // 2
+        x = (self.viewport_width - len(msg)) // 2
+        lines[y] = " " * x + msg + " " * (self.viewport_width - x - len(msg))
+        return lines
+
+    def get_items(self) -> list[SourceItem]:
+        return self.fetch()
+
+
 class CachedDataSource(DataSource):
     """Data source that wraps another source with caching."""
 
@@ -146,6 +256,44 @@ class CachedDataSource(DataSource):
         return self._items
 
 
+class TransformDataSource(DataSource):
+    """Data source that transforms items from another source.
+
+    Applies optional filter and map functions to each item.
+    This enables chaining: source → transform → transformed output.
+
+    Args:
+        source: The source to fetch items from
+        filter_fn: Optional function(item: SourceItem) -> bool
+        map_fn: Optional function(item: SourceItem) -> SourceItem
+    """
+
+    def __init__(
+        self,
+        source: DataSource,
+        filter_fn: Callable[[SourceItem], bool] | None = None,
+        map_fn: Callable[[SourceItem], SourceItem] | None = None,
+    ):
+        self.source = source
+        self.filter_fn = filter_fn
+        self.map_fn = map_fn
+
+    @property
+    def name(self) -> str:
+        return f"transform:{self.source.name}"
+
+    def fetch(self) -> list[SourceItem]:
+        items = self.source.fetch()
+
+        if self.filter_fn:
+            items = [item for item in items if self.filter_fn(item)]
+
+        if self.map_fn:
+            items = [self.map_fn(item) for item in items]
+
+        return items
+
+
 class CompositeDataSource(DataSource):
     """Data source that combines multiple sources."""