Templates now prefer /ipfs/{cid} over /cache/{cid}/raw when
run.ipfs_cid is set. This fixes playback for content that exists
on IPFS but not on the local API server cache.
Also fixed field name: run.output_ipfs_cid -> run.ipfs_cid to match
database schema.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
HLS outputs were including full audio track instead of trimming
to match video duration, causing video to freeze while audio
continued playing.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
When the local HLS playlist doesn't exist, check for IPFS playlist
CID in pending/completed run and redirect to the IPFS gateway.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Central config with logging on startup
- Hot reload support for GPU worker (docker-compose.gpu-dev.yml)
- Quick deploy script (scripts/gpu-dev-deploy.sh)
- GPU/CPU frame compatibility tests
- CI/CD pipeline for GPU worker (.gitea/workflows/gpu-worker.yml)
- Standardize GPU_PERSIST default to 0 across all modules
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- STREAMING_GPU_PERSIST=0 until all primitives support GPU frames
- IPFS_GATEWAY_URL points to cluster's public gateway
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Convert GPU frames/CuPy arrays to numpy before calling primitives.
This fixes all CPU primitives without modifying each one individually.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
All color_ops primitives now auto-convert GPU frames to numpy,
fixing compatibility with geometry_gpu primitives.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
GPU persistence returns CuPy arrays but most primitives expect numpy.
Disable until all primitives support GPU frames.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
streaming_gpu.py was being loaded on GPU nodes but had no PRIMITIVES dict,
causing audio-beat, audio-energy etc. to be missing. Now imports and
includes all primitives from the CPU streaming.py module.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The background IPFS upload task was running on workers that don't have
the file locally, causing uploads to fail silently. Now uploads go to
IPFS synchronously so the IPFS CID is available immediately.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add IPFSHLSOutput class that uploads segments to IPFS as they're created
- Update streaming task to use IPFS HLS output for distributed streaming
- Add /ipfs-stream endpoint to get IPFS playlist URL
- Update /stream endpoint to redirect to IPFS when available
- Add GPU persistence mode (STREAMING_GPU_PERSIST=1) to keep frames on GPU
- Add hardware video decoding (NVDEC) support for faster video processing
- Add GPU-accelerated primitive libraries: blending_gpu, color_ops_gpu, geometry_gpu
- Add streaming_gpu module with GPUFrame class for tracking CPU/GPU data location
- Add Dockerfile.gpu for building GPU-enabled worker image
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update save_run_cache to also update actor_id, recipe, inputs on conflict
- Add logging for actor_id when saving runs to run_cache
- Add admin endpoint DELETE /runs/admin/purge-failed to delete all failed runs
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add /runs/stream POST endpoint for streaming recipes
- Accepts recipe_sexp, sources_sexp, audio_sexp
- Submits to run_stream Celery task
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- 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>
- Use dedicated thread with new event loop for database operations
- Create new database connection per operation to avoid pool conflicts
- Handles both async and sync calling contexts correctly
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Database is the ONLY source of truth for cache_id -> ipfs_cid
- Removed Redis caching layer entirely
- Failures will raise exceptions instead of warning and continuing
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Database (cache_items table) is now source of truth
- Redis used as fast cache on top
- Mapping persists across restarts
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Files in /data/cache/nodes/ are now stored by IPFS CID only
- cache_id parameter creates index from cache_id -> IPFS CID
- Removed deprecated node_id parameter behavior
- get_by_cid(cache_id) still works via index lookup
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
IPFS CIDs are the primary identifiers. If IPFS upload fails,
the operation must fail rather than silently using local hashes.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add plan_cid column to pending_runs table schema
- Add update_pending_run_plan() function to save plan_cid
- Update get_pending_run() to return plan_cid
- Save plan_cid right after storing plan to IPFS (before execution)
- Plan is now available even if run fails
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
