Files
celery/streaming/__init__.py
giles bb458aa924 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>
2026-02-02 19:10:11 +00:00

45 lines
1.2 KiB
Python

"""
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",
]