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.

engine/pipeline/adapters/data_source.py

@@ -0,0 +1,143 @@
+"""
+Stage adapters - Bridge existing components to the Stage interface.
+
+This module provides adapters that wrap existing components
+(DataSource) as Stage implementations.
+"""
+
+from typing import Any
+
+from engine.data_sources import SourceItem
+from engine.pipeline.core import DataType, PipelineContext, Stage
+
+
+class DataSourceStage(Stage):
+    """Adapter wrapping DataSource as a Stage."""
+
+    def __init__(self, data_source, name: str = "headlines"):
+        self._source = data_source
+        self.name = name
+        self.category = "source"
+        self.optional = False
+
+    @property
+    def capabilities(self) -> set[str]:
+        return {f"source.{self.name}"}
+
+    @property
+    def dependencies(self) -> set[str]:
+        return set()
+
+    @property
+    def inlet_types(self) -> set:
+        return {DataType.NONE}  # Sources don't take input
+
+    @property
+    def outlet_types(self) -> set:
+        return {DataType.SOURCE_ITEMS}
+
+    def process(self, data: Any, ctx: PipelineContext) -> Any:
+        """Fetch data from source."""
+        if hasattr(self._source, "get_items"):
+            return self._source.get_items()
+        return data
+
+
+class PassthroughStage(Stage):
+    """Simple stage that passes data through unchanged.
+
+    Used for sources that already provide the data in the correct format
+    (e.g., pipeline introspection that outputs text directly).
+    """
+
+    def __init__(self, name: str = "passthrough"):
+        self.name = name
+        self.category = "render"
+        self.optional = True
+
+    @property
+    def stage_type(self) -> str:
+        return "render"
+
+    @property
+    def capabilities(self) -> set[str]:
+        return {"render.output"}
+
+    @property
+    def dependencies(self) -> set[str]:
+        return {"source"}
+
+    @property
+    def inlet_types(self) -> set:
+        return {DataType.SOURCE_ITEMS}
+
+    @property
+    def outlet_types(self) -> set:
+        return {DataType.SOURCE_ITEMS}
+
+    def process(self, data: Any, ctx: PipelineContext) -> Any:
+        """Pass data through unchanged."""
+        return data
+
+
+class SourceItemsToBufferStage(Stage):
+    """Convert SourceItem objects to text buffer.
+
+    Takes a list of SourceItem objects and extracts their content,
+    splitting on newlines to create a proper text buffer for display.
+    """
+
+    def __init__(self, name: str = "items-to-buffer"):
+        self.name = name
+        self.category = "render"
+        self.optional = True
+
+    @property
+    def stage_type(self) -> str:
+        return "render"
+
+    @property
+    def capabilities(self) -> set[str]:
+        return {"render.output"}
+
+    @property
+    def dependencies(self) -> set[str]:
+        return {"source"}
+
+    @property
+    def inlet_types(self) -> set:
+        return {DataType.SOURCE_ITEMS}
+
+    @property
+    def outlet_types(self) -> set:
+        return {DataType.TEXT_BUFFER}
+
+    def process(self, data: Any, ctx: PipelineContext) -> Any:
+        """Convert SourceItem list to text buffer."""
+        if data is None:
+            return []
+
+        # If already a list of strings, return as-is
+        if isinstance(data, list) and data and isinstance(data[0], str):
+            return data
+
+        # If it's a list of SourceItem, extract content
+        if isinstance(data, list):
+            result = []
+            for item in data:
+                if isinstance(item, SourceItem):
+                    # Split content by newline to get individual lines
+                    lines = item.content.split("\n")
+                    result.extend(lines)
+                elif hasattr(item, "content"):  # Has content attribute
+                    lines = str(item.content).split("\n")
+                    result.extend(lines)
+                else:
+                    result.append(str(item))
+            return result
+
+        # Single item
+        if isinstance(data, SourceItem):
+            return data.content.split("\n")
+
+        return [str(data)]