Replace batch DAG system with streaming architecture

- Remove legacy_tasks.py, hybrid_state.py, render.py
- Remove old task modules (analyze, execute, execute_sexp, orchestrate)
- Add streaming interpreter from test repo
- Add sexp_effects with primitives and video effects
- Add streaming Celery task with CID-based asset resolution
- Support both CID and friendly name references for assets
- Add .dockerignore to prevent local clones from conflicting

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

streaming/__init__.py

@@ -0,0 +1,44 @@
+"""
+Streaming video compositor for real-time effect processing.
+
+This module provides a frame-by-frame streaming architecture that:
+- Reads from multiple video sources with automatic looping
+- Applies effects inline (no intermediate files)
+- Composites layers with time-varying weights
+- Outputs to display, file, or stream
+
+Usage:
+    from streaming import StreamingCompositor, VideoSource, AudioAnalyzer
+
+    compositor = StreamingCompositor(
+        sources=["video1.mp4", "video2.mp4"],
+        effects_per_source=[...],
+        compositor_config={...},
+    )
+
+    # With live audio
+    audio = AudioAnalyzer(device=0)
+    compositor.run(output="output.mp4", duration=60, audio=audio)
+
+    # With preview window
+    compositor.run(output="preview", duration=60)
+
+Backends:
+    - numpy: Works everywhere, ~3-5 fps (default)
+    - glsl: Requires GPU, 30+ fps real-time (future)
+"""
+
+from .sources import VideoSource, ImageSource
+from .compositor import StreamingCompositor
+from .backends import NumpyBackend, get_backend
+from .output import DisplayOutput, FileOutput
+
+__all__ = [
+    "StreamingCompositor",
+    "VideoSource",
+    "ImageSource",
+    "NumpyBackend",
+    "get_backend",
+    "DisplayOutput",
+    "FileOutput",
+]