diff --git a/.dockerignore b/.dockerignore index 84e1f4f4..89d81539 100644 --- a/.dockerignore +++ b/.dockerignore @@ -4,6 +4,7 @@ .ruff_cache .uv-cache .venv +.python-version __pycache__/ *.pyc *.pyo @@ -33,3 +34,7 @@ Output/ CorridorKeyModule/checkpoints/ gvm_core/weights/ VideoMaMaInferenceModule/checkpoints/ + +# Frontend build artifacts (node_modules, not the build output) +web/frontend/node_modules/ +web/frontend/.svelte-kit/ diff --git a/.gitignore b/.gitignore index 880a522f..0cd177e9 100644 --- a/.gitignore +++ b/.gitignore @@ -25,6 +25,14 @@ CorridorKey_remote.bat .ipynb_checkpoints/ .DS_Store +# Projects / user content +Projects/ + +# WebUI +web/frontend/node_modules/ +web/frontend/build/ +web/frontend/.svelte-kit/ + # IDE .vscode/ .idea/ diff --git a/README.md b/README.md index 18e6758d..520a0a74 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,7 @@ Naturally, I have not tested everything. If you encounter errors, please conside * **Resolution Independent:** The engine dynamically scales inference to handle 4K plates while predicting using its native 2048x2048 high-fidelity backbone. * **VFX Standard Outputs:** Natively reads and writes 16-bit and 32-bit Linear float EXR files, preserving true color math for integration in Nuke, Fusion, or Resolve. * **Auto-Cleanup:** Includes a morphological cleanup system to automatically prune any tracking markers or tiny background features that slip through CorridorKey's detection. +* **WebUI:** Browser-based interface with drag-and-drop upload, one-click full pipeline, real-time progress, video playback, A/B comparison, and project management. Run via `docker compose --profile web up -d` and open `localhost:3000`. ## Hardware Requirements @@ -104,14 +105,53 @@ Perhaps in the future, I will implement other generators for the AlphaHint! In t Please give feedback and share your results! -### Docker (Linux + NVIDIA GPU) +### WebUI (Browser-based) -If you prefer not to install dependencies locally, you can run CorridorKey in Docker. +CorridorKey includes a full web interface for managing clips, running inference, and previewing results — no terminal required. + +**Quick start with Docker Compose:** +```bash +docker compose --profile web up -d --build # first run builds the image (~5 min) +# Open http://localhost:3000 + +# Subsequent runs (no rebuild needed unless code changes): +docker compose --profile web up -d +``` + +**Quick start without Docker:** +```bash +uv sync --group dev --extra web # install web dependencies +uv sync --group dev --extra web --extra cuda # with CUDA GPU support +uv run uvicorn web.api.app:create_app --factory --port 3000 +# Open http://localhost:3000 +``` + +**WebUI Features:** +- **Upload & organize** — drag-and-drop videos or zipped frame sequences, organize into projects +- **Full pipeline** — one-click processing: extract frames → generate alpha hints (GVM/VideoMaMa) → run inference +- **Real-time progress** — WebSocket-driven progress bars with ETA and fps counter +- **Frame viewer** — scrub through frames, play as video (ffmpeg-stitched MP4), A/B comparison mode +- **Download outputs** — download any pass (FG, Matte, Comp, Processed) as ZIP +- **Job queue** — parallel CPU jobs (extraction) + GPU jobs with configurable VRAM limits +- **Weight management** — download CorridorKey, GVM, and VideoMaMa weights from HuggingFace directly in Settings +- **VRAM monitoring** — system-wide GPU memory usage (via nvidia-smi) +- **Right-click context menus** — rename projects, move clips, batch process, delete +- **Keyboard shortcuts** — press `?` to see all shortcuts + +**Important notes:** +- **Clip storage:** The WebUI manages clips under `Projects/`, while the CLI wizard uses `ClipsForInference/`. These directories are independent — clips created in the WebUI won't appear in the CLI and vice versa. Set `CK_CLIPS_DIR` to point at `ClipsForInference/` if you want both to use the same directory. +- **Mac / MLX:** The WebUI has not been validated on Mac with MLX inference. The server will start and the UI will work, but the VRAM meter will show N/A (nvidia-smi is not available on Mac) and the VRAM concurrency limit for parallel jobs is not enforced on non-CUDA systems. +- Model weights are volume-mounted and persist across Docker rebuilds. +- The web service uses the `web` Docker Compose profile. + +### Docker CLI (Linux + NVIDIA GPU) + +If you prefer the command-line interface in Docker: Prerequisites: - Docker Engine + Docker Compose plugin installed. -- NVIDIA driver installed on the host (Linux), with CUDA compatibility for the PyTorch CUDA 12.6 wheels used by this project. -- NVIDIA Container Toolkit installed and configured for Docker (`nvidia-smi` should work on host, and `docker run --rm --gpus all nvidia/cuda:12.6.3-runtime-ubuntu22.04 nvidia-smi` should succeed). +- NVIDIA driver installed on the host (Linux), with CUDA compatibility for the PyTorch CUDA 12.8 wheels used by this project. +- NVIDIA Container Toolkit installed and configured for Docker (`nvidia-smi` should work on host, and `docker run --rm --gpus all nvidia/cuda:12.8.0-runtime-ubuntu22.04 nvidia-smi` should succeed). 1. Build the image: ```bash diff --git a/backend/job_queue.py b/backend/job_queue.py index baf9a6ba..7f1099b9 100644 --- a/backend/job_queue.py +++ b/backend/job_queue.py @@ -13,6 +13,7 @@ - Jobs have stable IDs assigned at creation time - Deduplication prevents double-submit of same clip+job_type - Job history preserved for UI display (cancelled/completed/failed) + - Multiple jobs can run simultaneously (local + remote nodes) """ from __future__ import annotations @@ -85,7 +86,7 @@ def check_cancelled(self) -> None: class GPUJobQueue: - """Thread-safe GPU job queue with mutual exclusion. + """Thread-safe GPU job queue supporting multiple concurrent running jobs. Usage (CLI mode): queue = GPUJobQueue() @@ -103,15 +104,15 @@ class GPUJobQueue: except Exception as e: queue.fail_job(job, str(e)) - Usage (GUI mode): - The GPU worker QThread calls next_job() / start_job() / complete_job() - in its run loop. The UI submits jobs from the main thread. + Usage (distributed): + Multiple workers (local + remote nodes) can claim and run jobs + simultaneously. All running jobs are tracked and visible in the API. """ def __init__(self): self._queue: deque[GPUJob] = deque() self._lock = threading.Lock() - self._current_job: GPUJob | None = None + self._running_jobs: list[GPUJob] = [] self._history: list[GPUJob] = [] # completed/cancelled/failed jobs for UI display # Callbacks (set by UI or CLI) @@ -143,17 +144,17 @@ def submit(self, job: GPUJob) -> bool: f"(already queued as {existing.id})" ) return False - if ( - self._current_job - and self._current_job.clip_name == job.clip_name - and self._current_job.job_type == job.job_type - and self._current_job.status == JobStatus.RUNNING - ): - logger.warning( - f"Duplicate job rejected: {job.job_type.value} for '{job.clip_name}' " - f"(already running as {self._current_job.id})" - ) - return False + for running in self._running_jobs: + if ( + running.clip_name == job.clip_name + and running.job_type == job.job_type + and running.status == JobStatus.RUNNING + ): + logger.warning( + f"Duplicate job rejected: {job.job_type.value} for '{job.clip_name}' " + f"(already running as {running.id})" + ) + return False job.status = JobStatus.QUEUED self._queue.append(job) @@ -173,15 +174,15 @@ def start_job(self, job: GPUJob) -> None: if job in self._queue: self._queue.remove(job) job.status = JobStatus.RUNNING - self._current_job = job + self._running_jobs.append(job) logger.info(f"Job started [{job.id}]: {job.job_type.value} for '{job.clip_name}'") def complete_job(self, job: GPUJob) -> None: """Mark a job as successfully completed.""" with self._lock: job.status = JobStatus.COMPLETED - if self._current_job is job: - self._current_job = None + if job in self._running_jobs: + self._running_jobs.remove(job) self._history.append(job) logger.info(f"Job completed [{job.id}]: {job.job_type.value} for '{job.clip_name}'") # Emit AFTER lock release (Codex: no deadlock risk) @@ -193,8 +194,8 @@ def fail_job(self, job: GPUJob, error: str) -> None: with self._lock: job.status = JobStatus.FAILED job.error_message = error - if self._current_job is job: - self._current_job = None + if job in self._running_jobs: + self._running_jobs.remove(job) self._history.append(job) logger.error(f"Job failed [{job.id}]: {job.job_type.value} for '{job.clip_name}': {error}") # Emit AFTER lock release @@ -202,16 +203,11 @@ def fail_job(self, job: GPUJob, error: str) -> None: self.on_error(job.clip_name, error) def mark_cancelled(self, job: GPUJob) -> None: - """Mark a running job as cancelled AND clear _current_job. - - This is the cancel-safe path that was missing — calling - job.request_cancel() alone doesn't clear _current_job, which - poisons queue state for subsequent jobs. - """ + """Mark a running job as cancelled AND remove from running list.""" with self._lock: job.status = JobStatus.CANCELLED - if self._current_job is job: - self._current_job = None + if job in self._running_jobs: + self._running_jobs.remove(job) self._history.append(job) logger.info(f"Job cancelled [{job.id}]: {job.job_type.value} for '{job.clip_name}'") @@ -230,17 +226,19 @@ def cancel_job(self, job: GPUJob) -> None: logger.info(f"Job cancel requested [{job.id}]: {job.job_type.value} for '{job.clip_name}'") def cancel_current(self) -> None: - """Cancel the currently running job, if any.""" + """Cancel all currently running jobs.""" with self._lock: - if self._current_job and self._current_job.status == JobStatus.RUNNING: - self._current_job.request_cancel() + for job in self._running_jobs: + if job.status == JobStatus.RUNNING: + job.request_cancel() def cancel_all(self) -> None: - """Cancel current job and clear the queue.""" + """Cancel all running jobs and clear the queue.""" with self._lock: - # Cancel current - if self._current_job and self._current_job.status == JobStatus.RUNNING: - self._current_job.request_cancel() + # Cancel running + for job in self._running_jobs: + if job.status == JobStatus.RUNNING: + job.request_cancel() # Clear queue — preserve in history for job in self._queue: job.status = JobStatus.CANCELLED @@ -249,10 +247,13 @@ def cancel_all(self) -> None: logger.info("All jobs cancelled") def report_progress(self, clip_name: str, current: int, total: int) -> None: - """Report progress for the current job. Called by processing code.""" - if self._current_job: - self._current_job.current_frame = current - self._current_job.total_frames = total + """Report progress for a job by clip name. Called by processing code.""" + with self._lock: + for job in self._running_jobs: + if job.clip_name == clip_name and job.status == JobStatus.RUNNING: + job.current_frame = current + job.total_frames = total + break if self.on_progress: self.on_progress(clip_name, current, total) @@ -263,10 +264,11 @@ def report_warning(self, message: str) -> None: self.on_warning(message) def find_job_by_id(self, job_id: str) -> GPUJob | None: - """Find a job by ID in queue, current, or history.""" + """Find a job by ID in running, queue, or history.""" with self._lock: - if self._current_job and self._current_job.id == job_id: - return self._current_job + for job in self._running_jobs: + if job.id == job_id: + return job for job in self._queue: if job.id == job_id: return job @@ -292,8 +294,15 @@ def has_pending(self) -> bool: @property def current_job(self) -> GPUJob | None: + """Return the first running job (backward compat). Use running_jobs for all.""" + with self._lock: + return self._running_jobs[0] if self._running_jobs else None + + @property + def running_jobs(self) -> list[GPUJob]: + """Return a copy of all currently running jobs.""" with self._lock: - return self._current_job + return list(self._running_jobs) @property def pending_count(self) -> int: @@ -314,11 +323,9 @@ def history_snapshot(self) -> list[GPUJob]: @property def all_jobs_snapshot(self) -> list[GPUJob]: - """Return current + queued + history for full queue panel display.""" + """Return running + queued + history for full queue panel display.""" with self._lock: - result = [] - if self._current_job: - result.append(self._current_job) + result = list(self._running_jobs) result.extend(self._queue) result.extend(self._history) return result diff --git a/docker-compose.yml b/docker-compose.yml index fd21cb34..2f9a4358 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -35,3 +35,24 @@ services: - ./VideoMaMaInferenceModule/checkpoints:/app/VideoMaMaInferenceModule/checkpoints stdin_open: true tty: true + + corridorkey-web: + profiles: ["web"] + build: + context: . + dockerfile: web/Dockerfile.web + image: corridorkey-web:latest + user: "${UID:-1000}:${GID:-1000}" + gpus: ${CK_GPUS:-all} + ports: + - "3000:3000" + environment: + - OPENCV_IO_ENABLE_OPENEXR=1 + - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all} + - NVIDIA_DRIVER_CAPABILITIES=${NVIDIA_DRIVER_CAPABILITIES:-compute,utility,video} + - CK_CLIPS_DIR=/app/Projects + volumes: + - ./Projects:/app/Projects + - ./CorridorKeyModule/checkpoints:/app/CorridorKeyModule/checkpoints + - ./gvm_core/weights:/app/gvm_core/weights + - ./VideoMaMaInferenceModule/checkpoints:/app/VideoMaMaInferenceModule/checkpoints diff --git a/pyproject.toml b/pyproject.toml index f4f76372..b6daae94 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,6 +50,11 @@ cuda = [ mlx = [ "corridorkey-mlx ; python_version >= '3.11'", ] +web = [ + 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+RUN npm ci +COPY web/frontend/ . +RUN npm run build + +# Stage 2: Python runtime +FROM ghcr.io/astral-sh/uv:0.7-python3.11-bookworm-slim + +WORKDIR /app + +RUN useradd --create-home --uid 1000 appuser + +# Runtime dependencies for OpenCV/video I/O. +RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \ + apt-get update && apt-get install -y --no-install-recommends \ + git \ + ffmpeg \ + libgl1 \ + libglib2.0-0 && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +# Install Python dependencies (including web extra). +COPY --chown=appuser:appuser pyproject.toml uv.lock ./ +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-dev --extra web --extra cuda --no-install-project + +# Copy project source. +COPY --chown=appuser:appuser . . + +# Install the project itself. +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-dev --extra web --extra cuda + +# Copy built frontend from stage 1. +COPY --from=frontend /build/build /app/web/frontend/build + +# Ensure Projects dir exists and is owned by appuser +RUN mkdir -p /app/Projects && chown appuser:appuser /app/Projects + +USER appuser + +ENV OPENCV_IO_ENABLE_OPENEXR=1 +ENV CK_CLIPS_DIR=/app/Projects + +EXPOSE 3000 + +CMD ["/app/.venv/bin/uvicorn", "web.api.app:create_app", "--factory", "--host", "0.0.0.0", "--port", "3000"] diff --git a/web/__init__.py b/web/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/web/api/__init__.py b/web/api/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/web/api/app.py b/web/api/app.py new file mode 100644 index 00000000..1d935018 --- /dev/null +++ b/web/api/app.py @@ -0,0 +1,110 @@ +"""FastAPI application factory with lifespan management.""" + +from __future__ import annotations + +import asyncio +import logging +import os +from contextlib import asynccontextmanager + +from fastapi import FastAPI, Request +from fastapi.middleware.gzip import GZipMiddleware +from fastapi.responses import FileResponse +from fastapi.staticfiles import StaticFiles + +from backend.project import projects_root + +from .deps import get_queue, get_service +from .routes import clips, jobs, preview, projects, system, upload +from .worker import start_worker +from .ws import manager, websocket_endpoint + +logger = logging.getLogger(__name__) + +# Resolve clips directory from env or default to Projects/ +CLIPS_DIR = os.environ.get("CK_CLIPS_DIR", "") + + +def _resolve_clips_dir() -> str: + if CLIPS_DIR: + return os.path.abspath(CLIPS_DIR) + return projects_root() + + +@asynccontextmanager +async def lifespan(app: FastAPI): + """Startup: detect device, start worker. Shutdown: stop worker.""" + clips_dir = _resolve_clips_dir() + os.makedirs(clips_dir, exist_ok=True) + + clips.set_clips_dir(clips_dir) + preview.set_clips_dir(clips_dir) + + service = get_service() + device = service.detect_device() + logger.info(f"Device: {device}, Clips dir: {clips_dir}") + + loop = asyncio.get_running_loop() + manager.set_loop(loop) + + queue = get_queue() + worker_thread, stop_event = start_worker(service, queue, clips_dir) + + app.state.clips_dir = clips_dir + app.state.worker_thread = worker_thread + app.state.stop_event = stop_event + + yield + + stop_event.set() + worker_thread.join(timeout=5) + logger.info("Worker thread joined") + + +def create_app() -> FastAPI: + """Application factory — call with uvicorn --factory.""" + logging.basicConfig(level=logging.INFO, format="%(asctime)s %(name)s %(levelname)s %(message)s") + + app = FastAPI( + title="CorridorKey WebUI", + version="1.0.0", + lifespan=lifespan, + ) + + # Compress responses > 1KB (speeds up file transfers to nodes) + app.add_middleware(GZipMiddleware, minimum_size=1000) + + # API routes + app.include_router(clips.router) + app.include_router(jobs.router) + app.include_router(system.router) + app.include_router(preview.router) + app.include_router(projects.router) + app.include_router(upload.router) + + # WebSocket + app.websocket("/ws")(websocket_endpoint) + + # Serve built Svelte SPA from web/frontend/build/ + static_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "frontend", "build") + if os.path.isdir(static_dir): + # Mount static assets (JS, CSS, images) — but NOT as catch-all + app.mount("/_app", StaticFiles(directory=os.path.join(static_dir, "_app")), name="spa-assets") + + index_html = os.path.join(static_dir, "index.html") + + # SPA catch-all: any non-API, non-asset GET request serves index.html + @app.get("/{path:path}", include_in_schema=False) + async def spa_fallback(request: Request, path: str): + # Don't intercept API or WebSocket paths + if path.startswith("api/") or path == "ws": + return + # Serve actual static files if they exist (favicon, etc.) + file_path = os.path.join(static_dir, path) + if path and os.path.isfile(file_path): + return FileResponse(file_path) + return FileResponse(index_html) + else: + logger.warning(f"SPA build directory not found at {static_dir} — serving API only") + + return app diff --git a/web/api/deps.py b/web/api/deps.py new file mode 100644 index 00000000..11b4c350 --- /dev/null +++ b/web/api/deps.py @@ -0,0 +1,23 @@ +"""Singleton dependencies for the FastAPI application.""" + +from __future__ import annotations + +from backend.job_queue import GPUJobQueue +from backend.service import CorridorKeyService + +_service: CorridorKeyService | None = None +_queue: GPUJobQueue | None = None + + +def get_service() -> CorridorKeyService: + global _service + if _service is None: + _service = CorridorKeyService() + return _service + + +def get_queue() -> GPUJobQueue: + global _queue + if _queue is None: + _queue = GPUJobQueue() + return _queue diff --git a/web/api/routes/__init__.py b/web/api/routes/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/web/api/routes/clips.py b/web/api/routes/clips.py new file mode 100644 index 00000000..8540e12c --- /dev/null +++ b/web/api/routes/clips.py @@ -0,0 +1,194 @@ +"""Clip scanning, detail, and deletion endpoints.""" + +from __future__ import annotations + +import logging +import os +import shutil + +from fastapi import APIRouter, HTTPException + +from ..deps import get_service +from ..schemas import ClipAssetSchema, ClipListResponse, ClipSchema + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/clips", tags=["clips"]) + +# Resolved at startup via app.state.clips_dir +_clips_dir: str = "" + + +def set_clips_dir(path: str) -> None: + global _clips_dir + _clips_dir = path + + +def _clip_to_schema(clip) -> ClipSchema: + def _asset(a) -> ClipAssetSchema | None: + if a is None: + return None + return ClipAssetSchema(path=a.path, asset_type=a.asset_type, frame_count=a.frame_count) + + frame_count = 0 + if clip.input_asset: + frame_count = clip.input_asset.frame_count + + return ClipSchema( + name=clip.name, + root_path=clip.root_path, + state=clip.state.value, + input_asset=_asset(clip.input_asset), + alpha_asset=_asset(clip.alpha_asset), + mask_asset=_asset(clip.mask_asset), + frame_count=frame_count, + completed_frames=clip.completed_frame_count(), + has_outputs=clip.has_outputs, + warnings=clip.warnings, + error_message=clip.error_message, + ) + + +@router.get("", response_model=ClipListResponse) +def list_clips(): + service = get_service() + try: + clips = service.scan_clips(_clips_dir) + except Exception as e: + logger.error(f"Clip scan failed: {e}") + raise HTTPException(status_code=500, detail=str(e)) from e + return ClipListResponse( + clips=[_clip_to_schema(c) for c in clips], + clips_dir=_clips_dir, + ) + + +@router.get("/{name}", response_model=ClipSchema) +def get_clip(name: str): + service = get_service() + try: + clips = service.scan_clips(_clips_dir) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + for clip in clips: + if clip.name == name: + return _clip_to_schema(clip) + raise HTTPException(status_code=404, detail=f"Clip '{name}' not found") + + +@router.delete("/{name}") +def delete_clip(name: str): + """Delete a clip and its entire project directory. + + Removes the clip's root_path. If this was the only clip in a v2 project, + removes the entire project folder too. + """ + service = get_service() + try: + clips = service.scan_clips(_clips_dir) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + + clip = next((c for c in clips if c.name == name), None) + if clip is None: + raise HTTPException(status_code=404, detail=f"Clip '{name}' not found") + + clip_root = clip.root_path + if not os.path.isdir(clip_root): + raise HTTPException(status_code=404, detail="Clip directory not found on disk") + + # Safety: ensure the path is inside the clips dir + abs_clips = os.path.abspath(_clips_dir) + abs_clip = os.path.abspath(clip_root) + if not abs_clip.startswith(abs_clips + os.sep): + raise HTTPException(status_code=403, detail="Clip path is outside the projects directory") + + try: + shutil.rmtree(clip_root) + logger.info(f"Deleted clip directory: {clip_root}") + + # If the parent project's clips/ dir is now empty, remove the project too + clips_parent = os.path.dirname(clip_root) # .../clips/ + if os.path.basename(clips_parent) == "clips" and os.path.isdir(clips_parent): + remaining = [d for d in os.listdir(clips_parent) if not d.startswith(".")] + if not remaining: + project_dir = os.path.dirname(clips_parent) + shutil.rmtree(project_dir) + logger.info(f"Deleted empty project directory: {project_dir}") + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete: {e}") from e + + return {"status": "deleted", "name": name} + + +@router.post("/{name}/move") +def move_clip(name: str, target_project: str): + """Move a clip to a different project. + + The clip directory is physically moved into the target project's clips/ dir. + Updates project.json in both source and target projects. + """ + from backend.project import is_v2_project, read_project_json, write_project_json + + service = get_service() + try: + clips = service.scan_clips(_clips_dir) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + + clip = next((c for c in clips if c.name == name), None) + if clip is None: + raise HTTPException(status_code=404, detail=f"Clip '{name}' not found") + + # Find target project + target_dir = os.path.join(_clips_dir, target_project) + if not os.path.isdir(target_dir) or not is_v2_project(target_dir): + raise HTTPException(status_code=404, detail=f"Target project '{target_project}' not found") + + target_clips_dir = os.path.join(target_dir, "clips") + dest = os.path.join(target_clips_dir, os.path.basename(clip.root_path)) + + if os.path.exists(dest): + raise HTTPException(status_code=409, detail=f"A clip named '{name}' already exists in the target project") + + # Safety checks + abs_root = os.path.abspath(_clips_dir) + abs_src = os.path.abspath(clip.root_path) + abs_dst = os.path.abspath(dest) + if not abs_src.startswith(abs_root + os.sep) or not abs_dst.startswith(abs_root + os.sep): + raise HTTPException(status_code=403, detail="Path outside projects directory") + + try: + # Move the clip directory + shutil.move(clip.root_path, dest) + logger.info(f"Moved clip '{name}': {clip.root_path} → {dest}") + + # Update target project.json + target_data = read_project_json(target_dir) or {} + target_clips = target_data.get("clips", []) + clip_basename = os.path.basename(dest) + if clip_basename not in target_clips: + target_clips.append(clip_basename) + target_data["clips"] = target_clips + write_project_json(target_dir, target_data) + + # Clean up source project — use saved path since clip.root_path was moved + source_clips_parent = os.path.dirname(abs_src) # use pre-move absolute path + if os.path.basename(source_clips_parent) == "clips" and os.path.isdir(source_clips_parent): + remaining = [d for d in os.listdir(source_clips_parent) if not d.startswith(".")] + source_project = os.path.dirname(source_clips_parent) + source_data = read_project_json(source_project) or {} + source_clip_list = source_data.get("clips", []) + source_clip_list = [c for c in source_clip_list if c != clip_basename] + source_data["clips"] = source_clip_list + if remaining: + write_project_json(source_project, source_data) + else: + shutil.rmtree(source_project) + logger.info(f"Deleted empty source project: {source_project}") + + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to move clip: {e}") from e + + return {"status": "moved", "name": name, "target_project": target_project} diff --git a/web/api/routes/jobs.py b/web/api/routes/jobs.py new file mode 100644 index 00000000..a85adb09 --- /dev/null +++ b/web/api/routes/jobs.py @@ -0,0 +1,207 @@ +"""Job submission, listing, and cancellation endpoints.""" + +from __future__ import annotations + +from fastapi import APIRouter, HTTPException + +from backend.job_queue import GPUJob, JobType + +from ..deps import get_queue, get_service +from ..schemas import ( + ExtractJobRequest, + GVMJobRequest, + InferenceJobRequest, + JobListResponse, + JobSchema, + PipelineJobRequest, + VideoMaMaJobRequest, +) + +router = APIRouter(prefix="/api/jobs", tags=["jobs"]) + + +def _job_to_schema(job: GPUJob) -> JobSchema: + return JobSchema( + id=job.id, + job_type=job.job_type.value, + clip_name=job.clip_name, + status=job.status.value, + current_frame=job.current_frame, + total_frames=job.total_frames, + error_message=job.error_message, + ) + + +@router.get("", response_model=JobListResponse) +def list_jobs(): + queue = get_queue() + running = queue.running_jobs + return JobListResponse( + current=_job_to_schema(running[0]) if running else None, + running=[_job_to_schema(j) for j in running], + queued=[_job_to_schema(j) for j in queue.queue_snapshot], + history=[_job_to_schema(j) for j in queue.history_snapshot], + ) + + +@router.post("/inference", response_model=list[JobSchema]) +def submit_inference(req: InferenceJobRequest): + queue = get_queue() + submitted = [] + for clip_name in req.clip_names: + job = GPUJob( + job_type=JobType.INFERENCE, + clip_name=clip_name, + params={ + "inference_params": req.params.model_dump(), + "output_config": req.output_config.model_dump(), + "frame_range": list(req.frame_range) if req.frame_range else None, + }, + ) + if queue.submit(job): + submitted.append(_job_to_schema(job)) + if not submitted: + raise HTTPException(status_code=409, detail="All jobs rejected (duplicates)") + return submitted + + +@router.post("/gvm", response_model=list[JobSchema]) +def submit_gvm(req: GVMJobRequest): + queue = get_queue() + submitted = [] + for clip_name in req.clip_names: + job = GPUJob(job_type=JobType.GVM_ALPHA, clip_name=clip_name) + if queue.submit(job): + submitted.append(_job_to_schema(job)) + if not submitted: + raise HTTPException(status_code=409, detail="All jobs rejected (duplicates)") + return submitted + + +@router.post("/videomama", response_model=list[JobSchema]) +def submit_videomama(req: VideoMaMaJobRequest): + queue = get_queue() + submitted = [] + for clip_name in req.clip_names: + job = GPUJob( + job_type=JobType.VIDEOMAMA_ALPHA, + clip_name=clip_name, + params={"chunk_size": req.chunk_size}, + ) + if queue.submit(job): + submitted.append(_job_to_schema(job)) + if not submitted: + raise HTTPException(status_code=409, detail="All jobs rejected (duplicates)") + return submitted + + +@router.post("/pipeline", response_model=list[JobSchema]) +def submit_pipeline(req: PipelineJobRequest): + """Submit the first step of a full pipeline. + + Only queues the NEXT needed step for each clip. When that step + completes, the worker auto-chains the following step (via the + pipeline params stored on the job). This ensures each step finishes + before the next begins. + """ + from ..routes.clips import _clips_dir + + queue = get_queue() + service = get_service() + clips = service.scan_clips(_clips_dir) + clip_map = {c.name: c for c in clips} + + # Pipeline params stored on each job so the worker can chain the next step + pipeline_params = { + "pipeline": True, + "alpha_method": req.alpha_method, + "inference_params": req.params.model_dump(), + "output_config": req.output_config.model_dump(), + } + + submitted = [] + for clip_name in req.clip_names: + clip = clip_map.get(clip_name) + if not clip: + continue + + state = clip.state.value + + if state == "EXTRACTING": + job = GPUJob(job_type=JobType.VIDEO_EXTRACT, clip_name=clip_name, params=pipeline_params) + elif state == "RAW": + if req.alpha_method == "videomama": + job = GPUJob( + job_type=JobType.VIDEOMAMA_ALPHA, + clip_name=clip_name, + params={**pipeline_params, "chunk_size": 50}, + ) + else: + job = GPUJob(job_type=JobType.GVM_ALPHA, clip_name=clip_name, params=pipeline_params) + elif state == "MASKED": + # MASKED clips already have a mask — run VideoMaMa to generate alpha, then inference + job = GPUJob( + job_type=JobType.VIDEOMAMA_ALPHA, + clip_name=clip_name, + params={**pipeline_params, "chunk_size": 50}, + ) + elif state in ("READY", "COMPLETE"): + job = GPUJob(job_type=JobType.INFERENCE, clip_name=clip_name, params=pipeline_params) + else: + continue + + if queue.submit(job): + submitted.append(_job_to_schema(job)) + + if not submitted: + raise HTTPException(status_code=409, detail="No jobs submitted (clips may already be complete or duplicates)") + return submitted + + +@router.post("/extract", response_model=list[JobSchema]) +def submit_extract(req: ExtractJobRequest): + queue = get_queue() + submitted = [] + for clip_name in req.clip_names: + job = GPUJob(job_type=JobType.VIDEO_EXTRACT, clip_name=clip_name) + if queue.submit(job): + submitted.append(_job_to_schema(job)) + if not submitted: + raise HTTPException(status_code=409, detail="All jobs rejected (duplicates)") + return submitted + + +@router.delete("/{job_id}") +def cancel_job(job_id: str): + queue = get_queue() + job = queue.find_job_by_id(job_id) + if job is None: + raise HTTPException(status_code=404, detail=f"Job '{job_id}' not found") + queue.cancel_job(job) + return {"status": "cancelled", "job_id": job_id} + + +@router.get("/{job_id}/log") +def get_job_log(job_id: str): + """Get detailed error/log info for a job.""" + queue = get_queue() + job = queue.find_job_by_id(job_id) + if job is None: + raise HTTPException(status_code=404, detail=f"Job '{job_id}' not found") + return { + "id": job.id, + "job_type": job.job_type.value, + "clip_name": job.clip_name, + "status": job.status.value, + "error_message": job.error_message, + "current_frame": job.current_frame, + "total_frames": job.total_frames, + "params": job.params, + } + + +@router.delete("") +def cancel_all(): + queue = get_queue() + queue.cancel_all() + return {"status": "all_cancelled"} diff --git a/web/api/routes/preview.py b/web/api/routes/preview.py new file mode 100644 index 00000000..7f47f30b --- /dev/null +++ b/web/api/routes/preview.py @@ -0,0 +1,317 @@ +"""Preview endpoint — serves frames as PNG, preview videos as MP4, and downloads as ZIP.""" + +from __future__ import annotations + +import hashlib +import logging +import os +import subprocess +import tempfile +import threading +import zipfile + +import cv2 +import numpy as np +from fastapi import APIRouter, HTTPException +from fastapi.responses import FileResponse, Response + +from backend.frame_io import read_image_frame +from backend.natural_sort import natsorted +from backend.project import is_image_file + +from ..deps import get_service + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/preview", tags=["preview"]) + +_clips_dir: str = "" +# Cache dir for stitched preview videos +_cache_dir: str = "" + + +def set_clips_dir(path: str) -> None: + global _clips_dir, _cache_dir + _clips_dir = path + _cache_dir = os.path.join(path, ".cache", "preview_videos") + os.makedirs(_cache_dir, exist_ok=True) + + +_PASS_MAP = { + "input": "Input", + "frames": "Frames", + "alpha": "AlphaHint", + "fg": "Output/FG", + "matte": "Output/Matte", + "comp": "Output/Comp", + "processed": "Output/Processed", +} + + +def _find_clip_root(clip_name: str) -> str | None: + service = get_service() + clips = service.scan_clips(_clips_dir) + for clip in clips: + if clip.name == clip_name: + return clip.root_path + return None + + +def _resolve_pass_dir(clip_root: str, pass_name: str) -> str: + """Resolve the directory for a pass, handling input/frames fallback.""" + if pass_name == "input": + frames_dir = os.path.join(clip_root, "Frames") + input_dir = os.path.join(clip_root, "Input") + if os.path.isdir(frames_dir) and os.listdir(frames_dir): + return frames_dir + elif os.path.isdir(input_dir): + return input_dir + raise HTTPException(status_code=404, detail="No input frames directory found") + target = os.path.join(clip_root, _PASS_MAP[pass_name]) + if not os.path.isdir(target): + raise HTTPException(status_code=404, detail=f"Directory not found: {_PASS_MAP[pass_name]}") + return target + + +def _frame_to_png_bytes(img: np.ndarray) -> bytes: + if img.dtype == np.float32 or img.dtype == np.float64: + img = (np.clip(img, 0.0, 1.0) * 255.0).astype(np.uint8) + if img.ndim == 3 and img.shape[2] >= 3: + img_bgr = cv2.cvtColor(img[:, :, :3], cv2.COLOR_RGB2BGR) + elif img.ndim == 3 and img.shape[2] == 4: + img_bgr = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA) + elif img.ndim == 2: + img_bgr = img + else: + img_bgr = img + success, buf = cv2.imencode(".png", img_bgr) + if not success: + raise RuntimeError("PNG encode failed") + return buf.tobytes() + + +# --- Single frame preview --- + + +@router.get("/{clip_name}/{pass_name}/{frame:int}") +def get_preview_frame(clip_name: str, pass_name: str, frame: int): + if pass_name not in _PASS_MAP: + raise HTTPException(status_code=400, detail=f"Unknown pass: {pass_name}. Valid: {list(_PASS_MAP.keys())}") + + clip_root = _find_clip_root(clip_name) + if clip_root is None: + raise HTTPException(status_code=404, detail=f"Clip '{clip_name}' not found") + + target_dir = _resolve_pass_dir(clip_root, pass_name) + files = natsorted([f for f in os.listdir(target_dir) if is_image_file(f)]) + if not files: + raise HTTPException(status_code=404, detail=f"No frames in {pass_name}") + if frame < 0 or frame >= len(files): + raise HTTPException(status_code=404, detail=f"Frame {frame} out of range (0-{len(files) - 1})") + + fpath = os.path.join(target_dir, files[frame]) + + if pass_name == "matte": + os.environ["OPENCV_IO_ENABLE_OPENEXR"] = "1" + img = cv2.imread(fpath, cv2.IMREAD_ANYDEPTH | cv2.IMREAD_UNCHANGED) + if img is None: + raise HTTPException(status_code=500, detail=f"Failed to read {fpath}") + if img.ndim == 3: + img = img[:, :, 0] + if img.dtype != np.uint8: + img = (np.clip(img, 0.0, 1.0) * 255.0).astype(np.uint8) + success, buf = cv2.imencode(".png", img) + if not success: + raise HTTPException(status_code=500, detail="PNG encode failed") + return Response(content=buf.tobytes(), media_type="image/png") + + img = read_image_frame(fpath) + if img is None: + raise HTTPException(status_code=500, detail=f"Failed to read {fpath}") + + return Response(content=_frame_to_png_bytes(img), media_type="image/png") + + +# --- Video preview (stitched MP4) --- + +# Lock to prevent concurrent ffmpeg encodes for the same cache key +_encode_locks: dict[str, threading.Lock] = {} +_encode_locks_lock = threading.Lock() + + +def _get_encode_lock(key: str) -> threading.Lock: + with _encode_locks_lock: + if key not in _encode_locks: + _encode_locks[key] = threading.Lock() + return _encode_locks[key] + + +def _ffmpeg_available() -> bool: + try: + subprocess.run(["ffmpeg", "-version"], capture_output=True, timeout=5) + return True + except (FileNotFoundError, subprocess.TimeoutExpired): + return False + + +def _cache_key(clip_root: str, pass_name: str) -> str: + """Generate a cache key based on directory path and modification time.""" + target_dir = _resolve_pass_dir(clip_root, pass_name) + files = [f for f in os.listdir(target_dir) if is_image_file(f)] + # Hash based on dir path, file count, and newest mtime + newest = max((os.path.getmtime(os.path.join(target_dir, f)) for f in files), default=0) + raw = f"{target_dir}:{len(files)}:{newest}" + return hashlib.md5(raw.encode()).hexdigest()[:12] + + +@router.get("/{clip_name}/{pass_name}/video") +def get_preview_video(clip_name: str, pass_name: str, fps: int = 24): + """Stitch frames into an MP4 for smooth browser playback. Cached.""" + if not _ffmpeg_available(): + raise HTTPException(status_code=503, detail="ffmpeg not available — cannot generate preview video") + + if pass_name not in _PASS_MAP: + raise HTTPException(status_code=400, detail=f"Unknown pass: {pass_name}") + + clip_root = _find_clip_root(clip_name) + if clip_root is None: + raise HTTPException(status_code=404, detail=f"Clip '{clip_name}' not found") + + target_dir = _resolve_pass_dir(clip_root, pass_name) + files = natsorted([f for f in os.listdir(target_dir) if is_image_file(f)]) + if not files: + raise HTTPException(status_code=404, detail=f"No frames in {pass_name}") + + # Check cache + key = _cache_key(clip_root, pass_name) + cache_path = os.path.join(_cache_dir, f"{clip_name}_{pass_name}_{key}.mp4") + + if os.path.isfile(cache_path): + return FileResponse(cache_path, media_type="video/mp4", filename=f"{clip_name}_{pass_name}.mp4") + + # Serialize encodes per cache key to prevent duplicate ffmpeg processes + encode_lock = _get_encode_lock(key) + if not encode_lock.acquire(timeout=0.1): + # Another thread is encoding this exact video — wait for it + encode_lock.acquire() + encode_lock.release() + if os.path.isfile(cache_path): + return FileResponse(cache_path, media_type="video/mp4", filename=f"{clip_name}_{pass_name}.mp4") + raise HTTPException(status_code=500, detail="Concurrent encode failed") + + concat_path = os.path.join(_cache_dir, f"{key}_concat.txt") + try: + with open(concat_path, "w") as f: + for fname in files: + fpath = os.path.join(target_dir, fname) + # For EXR files, we need to convert first — ffmpeg may not handle them well + # Use a glob pattern if filenames are sequential, otherwise concat + f.write(f"file '{fpath}'\n") + f.write(f"duration {1 / fps}\n") + + # Check if files are EXR (ffmpeg needs special handling) + is_exr = files[0].lower().endswith(".exr") + + if is_exr: + # Convert via OpenCV → temp PNGs → ffmpeg + with tempfile.TemporaryDirectory() as tmpdir: + for i, fname in enumerate(files): + fpath = os.path.join(target_dir, fname) + img = read_image_frame(fpath) + if img is not None: + out = (np.clip(img, 0.0, 1.0) * 255.0).astype(np.uint8) + out_bgr = cv2.cvtColor(out, cv2.COLOR_RGB2BGR) + cv2.imwrite(os.path.join(tmpdir, f"{i:06d}.png"), out_bgr) + + cmd = [ + "ffmpeg", + "-y", + "-framerate", + str(fps), + "-i", + os.path.join(tmpdir, "%06d.png"), + "-c:v", + "libx264", + "-pix_fmt", + "yuv420p", + "-crf", + "23", + "-movflags", + "+faststart", + cache_path, + ] + result = subprocess.run(cmd, capture_output=True, timeout=300) + if result.returncode != 0: + raise RuntimeError(result.stderr.decode()[-300:]) + else: + # Direct ffmpeg from image files + cmd = [ + "ffmpeg", + "-y", + "-f", + "concat", + "-safe", + "0", + "-i", + concat_path, + "-c:v", + "libx264", + "-pix_fmt", + "yuv420p", + "-crf", + "23", + "-movflags", + "+faststart", + cache_path, + ] + result = subprocess.run(cmd, capture_output=True, timeout=300) + if result.returncode != 0: + raise RuntimeError(result.stderr.decode()[-300:]) + + except Exception as e: + logger.error(f"Video stitch failed: {e}") + raise HTTPException(status_code=500, detail=f"Failed to create preview video: {e}") from e + finally: + encode_lock.release() + if os.path.isfile(concat_path): + os.unlink(concat_path) + + return FileResponse(cache_path, media_type="video/mp4", filename=f"{clip_name}_{pass_name}.mp4") + + +# --- Download (ZIP) --- + + +@router.get("/{clip_name}/{pass_name}/download") +def download_pass(clip_name: str, pass_name: str): + """Download all frames for a pass as a ZIP file.""" + if pass_name not in _PASS_MAP: + raise HTTPException(status_code=400, detail=f"Unknown pass: {pass_name}") + + clip_root = _find_clip_root(clip_name) + if clip_root is None: + raise HTTPException(status_code=404, detail=f"Clip '{clip_name}' not found") + + target_dir = _resolve_pass_dir(clip_root, pass_name) + files = natsorted(os.listdir(target_dir)) + files = [f for f in files if not f.startswith(".")] + if not files: + raise HTTPException(status_code=404, detail=f"No files in {pass_name}") + + zip_name = f"{clip_name}_{pass_name}.zip" + + # Build ZIP to a temp file (streaming partial ZIPs produces corrupt files) + zip_path = os.path.join(_cache_dir, f"dl_{zip_name}") + try: + with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_DEFLATED) as zf: + for fname in files: + fpath = os.path.join(target_dir, fname) + zf.write(fpath, arcname=os.path.join(pass_name, fname)) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to create ZIP: {e}") from e + + return FileResponse( + zip_path, + media_type="application/zip", + filename=zip_name, + background=None, # don't delete after send — cached + ) diff --git a/web/api/routes/projects.py b/web/api/routes/projects.py new file mode 100644 index 00000000..601741ef --- /dev/null +++ b/web/api/routes/projects.py @@ -0,0 +1,159 @@ +"""Project listing, creation, and management endpoints.""" + +from __future__ import annotations + +import logging +import os +import shutil +from datetime import datetime + +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel + +from backend.clip_state import scan_project_clips +from backend.project import ( + _dedupe_path, + is_v2_project, + projects_root, + read_project_json, + set_display_name, + write_project_json, +) + +from .clips import _clip_to_schema, _clips_dir + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/projects", tags=["projects"]) + + +class ProjectSchema(BaseModel): + name: str + display_name: str + path: str + clip_count: int + created: str | None = None + clips: list[dict] = [] + + +class CreateProjectRequest(BaseModel): + name: str + + +class RenameProjectRequest(BaseModel): + display_name: str + + +def _scan_projects() -> list[ProjectSchema]: + """Scan the projects directory and return project info.""" + root = _clips_dir or projects_root() + if not os.path.isdir(root): + return [] + + projects = [] + for item in sorted(os.listdir(root)): + item_path = os.path.join(root, item) + if not os.path.isdir(item_path) or item.startswith(".") or item.startswith("_"): + continue + + # Only include v2 projects (have clips/ subdir) + if not is_v2_project(item_path): + continue + + data = read_project_json(item_path) or {} + display = data.get("display_name", item) + created = data.get("created") + + # Scan clips inside the project + try: + clips = scan_project_clips(item_path) + except Exception: + clips = [] + + projects.append( + ProjectSchema( + name=item, + display_name=display, + path=item_path, + clip_count=len(clips), + created=created, + clips=[_clip_to_schema(c).__dict__ for c in clips], + ) + ) + + return projects + + +@router.get("", response_model=list[ProjectSchema]) +def list_projects(): + return _scan_projects() + + +@router.post("", response_model=ProjectSchema) +def create_project(req: CreateProjectRequest): + """Create a new empty project.""" + root = _clips_dir or projects_root() + timestamp = datetime.now().strftime("%y%m%d_%H%M%S") + + import re + + name_stem = re.sub(r"[^\w\-]", "_", req.name.strip()) + name_stem = re.sub(r"_+", "_", name_stem).strip("_")[:60] + folder_name = f"{timestamp}_{name_stem}" + + project_dir, _ = _dedupe_path(root, folder_name) + clips_dir = os.path.join(project_dir, "clips") + os.makedirs(clips_dir, exist_ok=True) + + write_project_json( + project_dir, + { + "version": 2, + "created": datetime.now().isoformat(), + "display_name": req.name.strip(), + "clips": [], + }, + ) + + return ProjectSchema( + name=os.path.basename(project_dir), + display_name=req.name.strip(), + path=project_dir, + clip_count=0, + created=datetime.now().isoformat(), + ) + + +@router.patch("/{name}") +def rename_project(name: str, req: RenameProjectRequest): + """Rename a project's display name.""" + root = _clips_dir or projects_root() + project_dir = os.path.join(root, name) + if not os.path.isdir(project_dir): + raise HTTPException(status_code=404, detail=f"Project '{name}' not found") + + set_display_name(project_dir, req.display_name.strip()) + return {"status": "ok", "display_name": req.display_name.strip()} + + +@router.delete("/{name}") +def delete_project(name: str): + """Delete a project and all its clips.""" + root = _clips_dir or projects_root() + project_dir = os.path.join(root, name) + + if not os.path.isdir(project_dir): + raise HTTPException(status_code=404, detail=f"Project '{name}' not found") + + # Safety check + abs_root = os.path.abspath(root) + abs_proj = os.path.abspath(project_dir) + if not abs_proj.startswith(abs_root + os.sep): + raise HTTPException(status_code=403, detail="Project path outside projects directory") + + try: + shutil.rmtree(project_dir) + logger.info(f"Deleted project: {project_dir}") + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete: {e}") from e + + return {"status": "deleted", "name": name} diff --git a/web/api/routes/system.py b/web/api/routes/system.py new file mode 100644 index 00000000..9e562af8 --- /dev/null +++ b/web/api/routes/system.py @@ -0,0 +1,259 @@ +"""System info endpoints — device, VRAM, model unloading, weight downloads.""" + +from __future__ import annotations + +import logging +import os +import subprocess +import sys +import threading + +from fastapi import APIRouter, HTTPException + +from ..deps import get_service +from ..schemas import DeviceResponse, VRAMResponse + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/system", tags=["system"]) + +# Base dir for weight paths +_BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) + +# Weight download state +_download_status: dict[str, dict] = {} +_download_lock = threading.Lock() + + +def _weights_info() -> dict: + """Check which weights are installed.""" + ck_dir = os.path.join(_BASE_DIR, "CorridorKeyModule", "checkpoints") + ck_files = [f for f in os.listdir(ck_dir) if f.endswith(".pth")] if os.path.isdir(ck_dir) else [] + + gvm_dir = os.path.join(_BASE_DIR, "gvm_core", "weights") + # GVM weights have vae/, unet/, scheduler/ subdirs — check for unet/config.json + gvm_config = os.path.isfile(os.path.join(gvm_dir, "unet", "config.json")) if os.path.isdir(gvm_dir) else False + + vm_dir = os.path.join(_BASE_DIR, "VideoMaMaInferenceModule", "checkpoints", "VideoMaMa") + vm_exists = os.path.isdir(vm_dir) and len(os.listdir(vm_dir)) > 0 + + return { + "corridorkey": { + "installed": len(ck_files) > 0, + "path": ck_dir, + "detail": ck_files[0] if ck_files else None, + "size_hint": "~300 MB", + }, + "gvm": { + "installed": gvm_config, + "path": gvm_dir, + "detail": "vae + unet + scheduler" if gvm_config else None, + "size_hint": "~10 GB", + }, + "videomama": { + "installed": vm_exists, + "path": vm_dir, + "detail": f"{len(os.listdir(vm_dir))} files" if vm_exists else None, + "size_hint": "~5 GB", + }, + } + + +@router.get("/device", response_model=DeviceResponse) +def get_device(): + service = get_service() + return DeviceResponse(device=service._device) + + +def _nvidia_smi_vram() -> dict | None: + """Query nvidia-smi for system-wide VRAM usage (all processes, not just PyTorch).""" + try: + result = subprocess.run( + ["nvidia-smi", "--query-gpu=memory.total,memory.used,memory.free,name", "--format=csv,nounits,noheader"], + capture_output=True, + text=True, + timeout=5, + ) + if result.returncode != 0: + return None + line = result.stdout.strip().split("\n")[0] + total_mb, used_mb, free_mb, name = [x.strip() for x in line.split(",")] + total = float(total_mb) / 1024 + used = float(used_mb) / 1024 + free = float(free_mb) / 1024 + return { + "total": total, + "reserved": used, + "allocated": used, + "free": free, + "name": name, + } + except Exception: + return None + + +@router.get("/vram", response_model=VRAMResponse) +def get_vram(): + # Prefer nvidia-smi for system-wide VRAM (includes other processes like Unreal) + smi = _nvidia_smi_vram() + if smi: + return VRAMResponse( + total=smi["total"], + reserved=smi["reserved"], + allocated=smi["allocated"], + free=smi["free"], + name=smi["name"], + available=True, + ) + # Fallback to PyTorch (only sees its own allocations) + service = get_service() + info = service.get_vram_info() + if not info: + return VRAMResponse(available=False) + return VRAMResponse( + total=info.get("total", 0), + reserved=info.get("reserved", 0), + allocated=info.get("allocated", 0), + free=info.get("free", 0), + name=info.get("name", ""), + available=True, + ) + + +@router.get("/vram-limit") +def get_vram_limit_setting(): + from ..worker import get_vram_limit + + return {"vram_limit_gb": get_vram_limit()} + + +@router.post("/vram-limit") +def set_vram_limit_setting(vram_limit_gb: float): + from ..worker import set_vram_limit + + set_vram_limit(vram_limit_gb) + return {"status": "ok", "vram_limit_gb": vram_limit_gb} + + +@router.post("/unload") +def unload_engines(): + service = get_service() + service.unload_engines() + return {"status": "unloaded"} + + +@router.get("/weights") +def get_weights(): + """Check installed weights status.""" + info = _weights_info() + # Merge in download status + with _download_lock: + for key, status in _download_status.items(): + if key in info: + info[key]["download"] = status + return info + + +def _run_download(name: str, cmd: list[str], target_dir: str) -> None: + """Run a weight download in a background thread.""" + try: + with _download_lock: + _download_status[name] = {"status": "downloading", "error": None} + + logger.info(f"Starting weight download: {name} → {target_dir}") + os.makedirs(target_dir, exist_ok=True) + + result = subprocess.run( + cmd, + capture_output=True, + text=True, + cwd=_BASE_DIR, + timeout=3600, # 1 hour max + ) + + if result.returncode != 0: + error = result.stderr.strip()[-500:] if result.stderr else "Unknown error" + logger.error(f"Weight download failed for {name}: {error}") + with _download_lock: + _download_status[name] = {"status": "failed", "error": error} + else: + logger.info(f"Weight download complete: {name}") + with _download_lock: + _download_status[name] = {"status": "complete", "error": None} + + except subprocess.TimeoutExpired: + with _download_lock: + _download_status[name] = {"status": "failed", "error": "Download timed out (1 hour)"} + except Exception as e: + with _download_lock: + _download_status[name] = {"status": "failed", "error": str(e)} + + +def _hf_bin() -> str: + """Find the huggingface-hub CLI binary.""" + import shutil as _shutil + + # Check the venv first (covers Docker where PATH may not include .venv/bin) + venv_hf = os.path.join(_BASE_DIR, ".venv", "bin", "huggingface-cli") + if os.path.isfile(venv_hf): + return venv_hf + # Also check for 'hf' alias + venv_hf2 = os.path.join(_BASE_DIR, ".venv", "bin", "hf") + if os.path.isfile(venv_hf2): + return venv_hf2 + # Try PATH + found = _shutil.which("huggingface-cli") or _shutil.which("hf") + if found: + return found + # Last resort: run via python -m + return "huggingface-cli" + + +@router.post("/weights/download/{name}") +def download_weights(name: str): + """Start downloading weights for a model. Runs in the background.""" + with _download_lock: + if name in _download_status and _download_status[name].get("status") == "downloading": + return {"status": "already_downloading"} + + hf = _hf_bin() + + # Build the download command — use python -m as fallback if hf CLI not found + python_bin = os.path.join(_BASE_DIR, ".venv", "bin", "python") + if not os.path.isfile(python_bin): + python_bin = sys.executable + + def _dl_cmd(repo: str, local_dir: str, extra_args: list[str] | None = None) -> list[str]: + """Build huggingface download command with python -m fallback.""" + try: + # Test if hf CLI works + subprocess.run([hf, "--version"], capture_output=True, timeout=5) + cmd = [hf, "download", repo, "--local-dir", local_dir] + except (FileNotFoundError, subprocess.TimeoutExpired): + cmd = [python_bin, "-m", "huggingface_hub", "download", repo, "--local-dir", local_dir] + if extra_args: + cmd.extend(extra_args) + return cmd + + if name == "corridorkey": + target = os.path.join(_BASE_DIR, "CorridorKeyModule", "checkpoints") + cmd = _dl_cmd("nikopueringer/CorridorKey_v1.0", target, ["CorridorKey_v1.0.pth"]) + thread = threading.Thread(target=_run_download, args=(name, cmd, target), daemon=True) + thread.start() + return {"status": "started", "size_hint": "~300 MB"} + + elif name == "gvm": + target = os.path.join(_BASE_DIR, "gvm_core", "weights") + cmd = _dl_cmd("geyongtao/gvm", target) + thread = threading.Thread(target=_run_download, args=(name, cmd, target), daemon=True) + thread.start() + return {"status": "started", "size_hint": "~10 GB"} + + elif name == "videomama": + target = os.path.join(_BASE_DIR, "VideoMaMaInferenceModule", "checkpoints", "VideoMaMa") + cmd = _dl_cmd("SammyLim/VideoMaMa", target) + thread = threading.Thread(target=_run_download, args=(name, cmd, target), daemon=True) + thread.start() + return {"status": "started", "size_hint": "~5 GB"} + + else: + raise HTTPException(status_code=400, detail=f"Unknown weight set: {name}. Valid: corridorkey, gvm, videomama") diff --git a/web/api/routes/upload.py b/web/api/routes/upload.py new file mode 100644 index 00000000..63c12112 --- /dev/null +++ b/web/api/routes/upload.py @@ -0,0 +1,305 @@ +"""Upload endpoints — video files, image sequences (zip), and alpha hints.""" + +from __future__ import annotations + +import logging +import os +import shutil +import tempfile +import zipfile + +from fastapi import APIRouter, HTTPException, UploadFile + +from backend.job_queue import GPUJob, JobType +from backend.project import ( + create_project, + is_image_file, + is_video_file, + sanitize_stem, +) + +from ..deps import get_queue, get_service +from ..routes import clips as _clips_mod + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/upload", tags=["upload"]) + + +@router.post("/video") +async def upload_video(file: UploadFile, name: str | None = None, auto_extract: bool = True): + """Upload a video file to create a new project/clip. + + The video is saved into a new project via create_project(). + If auto_extract is True (default), a VIDEO_EXTRACT job is queued + to extract frames in the background. + """ + if not file.filename: + raise HTTPException(status_code=400, detail="No filename provided") + + if not is_video_file(file.filename): + raise HTTPException( + status_code=400, + detail=f"Not a supported video format: {file.filename}. " + "Supported: .mp4, .mov, .avi, .mkv, .mxf, .webm, .m4v", + ) + + with tempfile.TemporaryDirectory() as tmpdir: + tmp_path = os.path.join(tmpdir, file.filename) + try: + with open(tmp_path, "wb") as f: + while chunk := await file.read(8 * 1024 * 1024): + f.write(chunk) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save upload: {e}") from e + + try: + project_dir = create_project( + tmp_path, + copy_source=True, + display_name=name, + ) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to create project: {e}") from e + + # Scan the new clips + service = get_service() + clips = service.scan_clips(_clips_mod._clips_dir) + new_clips = [c for c in clips if c.root_path.startswith(project_dir)] + + # Auto-submit extraction jobs for any clip with a video source + extract_jobs = [] + if auto_extract: + queue = get_queue() + for clip in new_clips: + has_video = clip.input_asset and clip.input_asset.asset_type == "video" + no_frames = not os.path.isdir(os.path.join(clip.root_path, "Frames")) + logger.info( + f"Upload auto-extract check: clip={clip.name} state={clip.state.value} " + f"has_video={has_video} no_frames={no_frames}" + ) + if has_video or clip.state.value == "EXTRACTING": + job = GPUJob(job_type=JobType.VIDEO_EXTRACT, clip_name=clip.name) + if queue.submit(job): + extract_jobs.append(job.id) + logger.info(f"Auto-queued extraction job {job.id} for '{clip.name}'") + + return { + "status": "ok", + "project_dir": project_dir, + "clips": [_clips_mod._clip_to_schema(c) for c in new_clips], + "extract_jobs": extract_jobs, + } + + +@router.post("/frames") +async def upload_frames(file: UploadFile, name: str | None = None): + """Upload a zip of image frames to create a new clip. + + The zip should contain image files (PNG, EXR, JPG, etc.) at the + top level or in a single subdirectory. They'll be placed into + a new project's Frames/ directory. + """ + if not file.filename: + raise HTTPException(status_code=400, detail="No filename provided") + + if not file.filename.lower().endswith(".zip"): + raise HTTPException(status_code=400, detail="Expected a .zip file containing image frames") + + with tempfile.TemporaryDirectory() as tmpdir: + zip_path = os.path.join(tmpdir, file.filename) + try: + with open(zip_path, "wb") as f: + while chunk := await file.read(8 * 1024 * 1024): + f.write(chunk) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save upload: {e}") from e + + # Extract zip + extract_dir = os.path.join(tmpdir, "extracted") + try: + with zipfile.ZipFile(zip_path, "r") as zf: + zf.extractall(extract_dir) + except zipfile.BadZipFile: + raise HTTPException(status_code=400, detail="Invalid zip file") from None + + # Find image files — may be at root or in a single subdirectory + image_files = [f for f in os.listdir(extract_dir) if is_image_file(f)] + if not image_files: + subdirs = [d for d in os.listdir(extract_dir) if os.path.isdir(os.path.join(extract_dir, d))] + if len(subdirs) == 1: + subdir_path = os.path.join(extract_dir, subdirs[0]) + image_files = [f for f in os.listdir(subdir_path) if is_image_file(f)] + if image_files: + extract_dir = subdir_path + + if not image_files: + raise HTTPException(status_code=400, detail="No image files found in zip") + + # Create project structure manually (create_project expects video) + from datetime import datetime + + from backend.project import _dedupe_path, projects_root, write_clip_json, write_project_json + + clip_name = sanitize_stem(name or file.filename) + timestamp = datetime.now().strftime("%y%m%d_%H%M%S") + folder_name = f"{timestamp}_{clip_name}" + + root = projects_root() + project_dir, _ = _dedupe_path(root, folder_name) + clips_dir = os.path.join(project_dir, "clips") + clip_dir, clip_name = _dedupe_path(clips_dir, clip_name) + frames_dir = os.path.join(clip_dir, "Frames") + os.makedirs(frames_dir, exist_ok=True) + + for fname in sorted(image_files): + src = os.path.join(extract_dir, fname) + dst = os.path.join(frames_dir, fname) + shutil.copy2(src, dst) + + write_clip_json(clip_dir, {"source": {"type": "uploaded_frames", "original_filename": file.filename}}) + write_project_json( + project_dir, + { + "version": 2, + "created": datetime.now().isoformat(), + "display_name": clip_name.replace("_", " "), + "clips": [clip_name], + }, + ) + + service = get_service() + clips = service.scan_clips(_clips_mod._clips_dir) + new_clips = [c for c in clips if c.root_path.startswith(project_dir)] + + return { + "status": "ok", + "project_dir": project_dir, + "clips": [_clips_mod._clip_to_schema(c) for c in new_clips], + "frame_count": len(image_files), + } + + +@router.post("/alpha/{clip_name}") +async def upload_alpha_hint(clip_name: str, file: UploadFile): + """Upload alpha hint frames (zip) for an existing clip. + + Extracts images into the clip's AlphaHint/ directory. + Transitions clip from RAW -> READY. + """ + if not file.filename: + raise HTTPException(status_code=400, detail="No filename provided") + + if not file.filename.lower().endswith(".zip"): + raise HTTPException(status_code=400, detail="Expected a .zip file containing alpha hint frames") + + service = get_service() + clips = service.scan_clips(_clips_mod._clips_dir) + clip = next((c for c in clips if c.name == clip_name), None) + if clip is None: + raise HTTPException(status_code=404, detail=f"Clip '{clip_name}' not found") + + with tempfile.TemporaryDirectory() as tmpdir: + zip_path = os.path.join(tmpdir, file.filename) + try: + with open(zip_path, "wb") as f: + while chunk := await file.read(8 * 1024 * 1024): + f.write(chunk) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save upload: {e}") from e + + extract_dir = os.path.join(tmpdir, "extracted") + try: + with zipfile.ZipFile(zip_path, "r") as zf: + zf.extractall(extract_dir) + except zipfile.BadZipFile: + raise HTTPException(status_code=400, detail="Invalid zip file") from None + + image_files = [f for f in os.listdir(extract_dir) if is_image_file(f)] + if not image_files: + subdirs = [d for d in os.listdir(extract_dir) if os.path.isdir(os.path.join(extract_dir, d))] + if len(subdirs) == 1: + extract_dir = os.path.join(extract_dir, subdirs[0]) + image_files = [f for f in os.listdir(extract_dir) if is_image_file(f)] + + if not image_files: + raise HTTPException(status_code=400, detail="No image files found in zip") + + alpha_dir = os.path.join(clip.root_path, "AlphaHint") + os.makedirs(alpha_dir, exist_ok=True) + + for fname in sorted(image_files): + src = os.path.join(extract_dir, fname) + dst = os.path.join(alpha_dir, fname) + shutil.copy2(src, dst) + + clips = service.scan_clips(_clips_mod._clips_dir) + updated = next((c for c in clips if c.name == clip_name), None) + + return { + "status": "ok", + "clip": _clips_mod._clip_to_schema(updated) if updated else None, + "alpha_frames": len(image_files), + } + + +@router.post("/mask/{clip_name}") +async def upload_videomama_mask(clip_name: str, file: UploadFile): + """Upload VideoMaMa mask hint frames (zip) for an existing clip. + + Extracts images into the clip's VideoMamaMaskHint/ directory. + Transitions clip to MASKED state. + """ + if not file.filename: + raise HTTPException(status_code=400, detail="No filename provided") + + if not file.filename.lower().endswith(".zip"): + raise HTTPException(status_code=400, detail="Expected a .zip file containing mask frames") + + service = get_service() + clips = service.scan_clips(_clips_mod._clips_dir) + clip = next((c for c in clips if c.name == clip_name), None) + if clip is None: + raise HTTPException(status_code=404, detail=f"Clip '{clip_name}' not found") + + with tempfile.TemporaryDirectory() as tmpdir: + zip_path = os.path.join(tmpdir, file.filename) + try: + with open(zip_path, "wb") as f: + while chunk := await file.read(8 * 1024 * 1024): + f.write(chunk) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save upload: {e}") from e + + extract_dir = os.path.join(tmpdir, "extracted") + try: + with zipfile.ZipFile(zip_path, "r") as zf: + zf.extractall(extract_dir) + except zipfile.BadZipFile: + raise HTTPException(status_code=400, detail="Invalid zip file") from None + + image_files = [f for f in os.listdir(extract_dir) if is_image_file(f)] + if not image_files: + subdirs = [d for d in os.listdir(extract_dir) if os.path.isdir(os.path.join(extract_dir, d))] + if len(subdirs) == 1: + extract_dir = os.path.join(extract_dir, subdirs[0]) + image_files = [f for f in os.listdir(extract_dir) if is_image_file(f)] + + if not image_files: + raise HTTPException(status_code=400, detail="No image files found in zip") + + mask_dir = os.path.join(clip.root_path, "VideoMamaMaskHint") + os.makedirs(mask_dir, exist_ok=True) + + for fname in sorted(image_files): + src = os.path.join(extract_dir, fname) + dst = os.path.join(mask_dir, fname) + shutil.copy2(src, dst) + + clips = service.scan_clips(_clips_mod._clips_dir) + updated = next((c for c in clips if c.name == clip_name), None) + + return { + "status": "ok", + "clip": _clips_mod._clip_to_schema(updated) if updated else None, + "mask_frames": len(image_files), + } diff --git a/web/api/schemas.py b/web/api/schemas.py new file mode 100644 index 00000000..dc25f383 --- /dev/null +++ b/web/api/schemas.py @@ -0,0 +1,124 @@ +"""Pydantic request/response models for the WebUI API.""" + +from __future__ import annotations + +from pydantic import BaseModel, Field + +# --- Clips --- + + +class ClipAssetSchema(BaseModel): + path: str + asset_type: str + frame_count: int + + +class ClipSchema(BaseModel): + name: str + root_path: str + state: str + input_asset: ClipAssetSchema | None = None + alpha_asset: ClipAssetSchema | None = None + mask_asset: ClipAssetSchema | None = None + frame_count: int = 0 + completed_frames: int = 0 + has_outputs: bool = False + warnings: list[str] = [] + error_message: str | None = None + + +class ClipListResponse(BaseModel): + clips: list[ClipSchema] + clips_dir: str + + +# --- Jobs --- + + +class InferenceParamsSchema(BaseModel): + input_is_linear: bool = False + despill_strength: float = Field(1.0, ge=0.0, le=1.0) + auto_despeckle: bool = True + despeckle_size: int = Field(400, ge=1) + refiner_scale: float = Field(1.0, ge=0.0) + + +class OutputConfigSchema(BaseModel): + fg_enabled: bool = True + fg_format: str = "exr" + matte_enabled: bool = True + matte_format: str = "exr" + comp_enabled: bool = True + comp_format: str = "png" + processed_enabled: bool = True + processed_format: str = "exr" + + +class ExtractJobRequest(BaseModel): + clip_names: list[str] + + +class PipelineJobRequest(BaseModel): + """Full pipeline: extract (if needed) → GVM alpha → inference.""" + + clip_names: list[str] + alpha_method: str = "gvm" # "gvm" or "videomama" + params: InferenceParamsSchema = InferenceParamsSchema() + output_config: OutputConfigSchema = OutputConfigSchema() + + +class InferenceJobRequest(BaseModel): + clip_names: list[str] + params: InferenceParamsSchema = InferenceParamsSchema() + output_config: OutputConfigSchema = OutputConfigSchema() + frame_range: tuple[int, int] | None = None + + +class GVMJobRequest(BaseModel): + clip_names: list[str] + + +class VideoMaMaJobRequest(BaseModel): + clip_names: list[str] + chunk_size: int = 50 + + +class JobSchema(BaseModel): + id: str + job_type: str + clip_name: str + status: str + current_frame: int = 0 + total_frames: int = 0 + error_message: str | None = None + + +class JobListResponse(BaseModel): + current: JobSchema | None = None # first running job (backward compat) + running: list[JobSchema] = [] # all running jobs + queued: list[JobSchema] = [] + history: list[JobSchema] = [] + + +# --- System --- + + +class DeviceResponse(BaseModel): + device: str + + +class VRAMResponse(BaseModel): + total: float = 0.0 + reserved: float = 0.0 + allocated: float = 0.0 + free: float = 0.0 + name: str = "" + available: bool = False + + +# --- WebSocket --- + + +class WSMessage(BaseModel): + type: str + data: dict diff --git a/web/api/worker.py b/web/api/worker.py new file mode 100644 index 00000000..7460415f --- /dev/null +++ b/web/api/worker.py @@ -0,0 +1,327 @@ +"""Worker pool — CPU jobs run in parallel, GPU jobs check VRAM before starting.""" + +from __future__ import annotations + +import logging +import os +import threading +from concurrent.futures import ThreadPoolExecutor + +from backend.clip_state import ClipAsset, ClipState +from backend.errors import CorridorKeyError, JobCancelledError +from backend.ffmpeg_tools import extract_frames +from backend.job_queue import GPUJob, GPUJobQueue, JobStatus, JobType +from backend.project import is_video_file +from backend.service import CorridorKeyService, InferenceParams, OutputConfig + +from .ws import manager + +logger = logging.getLogger(__name__) + +# CPU-only job types that don't need VRAM +_CPU_JOB_TYPES = {JobType.VIDEO_EXTRACT, JobType.VIDEO_STITCH} + +# Configurable VRAM limit (GB). Jobs won't start if free VRAM is below this. +# Set to 0 to disable the check (always allow). +_vram_limit_gb: float = 0.0 +_vram_lock = threading.Lock() + + +def set_vram_limit(gb: float) -> None: + global _vram_limit_gb + _vram_limit_gb = max(0.0, gb) + logger.info(f"VRAM limit set to {_vram_limit_gb:.1f} GB") + + +def get_vram_limit() -> float: + return _vram_limit_gb + + +def _get_free_vram_gb() -> float | None: + """Return free VRAM in GB, or None if unavailable.""" + try: + import torch + + if not torch.cuda.is_available(): + return None + total = torch.cuda.get_device_properties(0).total_memory + reserved = torch.cuda.memory_reserved(0) + return (total - reserved) / (1024**3) + except Exception: + return None + + +def _can_start_gpu_job() -> bool: + """Check if there's enough free VRAM to start another GPU job. + + Note: VRAM checking only works on CUDA. On Mac/MLX, _get_free_vram_gb() + returns None and this gate is effectively disabled — multiple GPU jobs + can run simultaneously with no throttle. MLX unified memory checking + is not yet implemented. + """ + if _vram_limit_gb <= 0: + return True # no limit set + free = _get_free_vram_gb() + if free is None: + return True # non-CUDA (e.g. MLX) — can't check, allow it + can = free >= _vram_limit_gb + if not can: + logger.debug(f"VRAM check: {free:.1f} GB free < {_vram_limit_gb:.1f} GB limit, waiting") + return can + + +def _find_clip(service: CorridorKeyService, clips_dir: str, clip_name: str): + """Find a clip by name from the clips directory.""" + clips = service.scan_clips(clips_dir) + for clip in clips: + if clip.name == clip_name: + return clip + return None + + +def _execute_extraction(job: GPUJob, clip, clips_dir: str) -> None: + """Extract frames from a video clip.""" + video_path = None + + if clip.input_asset and clip.input_asset.asset_type == "video" and os.path.isfile(clip.input_asset.path): + video_path = clip.input_asset.path + else: + source_dir = os.path.join(clip.root_path, "Source") + if os.path.isdir(source_dir): + videos = [f for f in os.listdir(source_dir) if is_video_file(f)] + if videos: + video_path = os.path.join(source_dir, videos[0]) + + if not video_path: + raise CorridorKeyError(f"No video file found for clip '{clip.name}'") + frames_dir = os.path.join(clip.root_path, "Frames") + + cancel_event = threading.Event() + + def on_progress(current: int, total: int) -> None: + job.current_frame = current + job.total_frames = total + manager.send_job_progress(job.id, clip.name, current, total) + if job.is_cancelled: + cancel_event.set() + + count = extract_frames( + video_path, + frames_dir, + on_progress=on_progress, + cancel_event=cancel_event, + ) + logger.info(f"Extracted {count} frames for clip '{clip.name}'") + + clip.input_asset = ClipAsset(frames_dir, "sequence") + try: + clip.transition_to(ClipState.RAW) + except Exception: + pass + + manager.send_clip_state_changed(clip.name, "RAW") + + +def _execute_gpu_job(service: CorridorKeyService, job: GPUJob, clips_dir: str) -> None: + """Execute a GPU job (inference, GVM, VideoMaMa).""" + clip = _find_clip(service, clips_dir, job.clip_name) + if clip is None: + raise CorridorKeyError(f"Clip '{job.clip_name}' not found in {clips_dir}") + + def on_progress(clip_name: str, current: int, total: int) -> None: + job.current_frame = current + job.total_frames = total + manager.send_job_progress(job.id, clip_name, current, total) + if current % 10 == 0: + vram = service.get_vram_info() + if vram: + manager.send_vram_update(vram) + + def on_warning(message: str) -> None: + manager.send_job_warning(job.id, message) + + if job.job_type == JobType.INFERENCE: + params = InferenceParams.from_dict(job.params.get("inference_params", {})) + output_config = OutputConfig.from_dict(job.params.get("output_config", {})) + frame_range = job.params.get("frame_range") + service.run_inference( + clip, + params, + job=job, + on_progress=on_progress, + on_warning=on_warning, + output_config=output_config, + frame_range=tuple(frame_range) if frame_range else None, + ) + elif job.job_type == JobType.GVM_ALPHA: + service.run_gvm(clip, job=job, on_progress=on_progress, on_warning=on_warning) + elif job.job_type == JobType.VIDEOMAMA_ALPHA: + chunk_size = job.params.get("chunk_size", 50) + service.run_videomama(clip, job=job, on_progress=on_progress, on_warning=on_warning, chunk_size=chunk_size) + + manager.send_clip_state_changed(job.clip_name, clip.state.value) + + +def _chain_next_pipeline_step(job: GPUJob, queue: GPUJobQueue, clips_dir: str, service: CorridorKeyService) -> None: + """If this was a pipeline job, submit the next step.""" + if not job.params.get("pipeline"): + return + + # Re-scan the clip to get its current state after this step completed + clip = _find_clip(service, clips_dir, job.clip_name) + if clip is None: + return + + state = clip.state.value + params = job.params # carries pipeline config forward + + next_job: GPUJob | None = None + + if state == "RAW": + # Extraction done → need alpha generation + alpha_method = params.get("alpha_method", "gvm") + if alpha_method == "videomama": + next_job = GPUJob( + job_type=JobType.VIDEOMAMA_ALPHA, + clip_name=job.clip_name, + params={**params, "chunk_size": 50}, + ) + else: + next_job = GPUJob(job_type=JobType.GVM_ALPHA, clip_name=job.clip_name, params=params) + elif state == "READY": + # Alpha done → need inference + next_job = GPUJob( + job_type=JobType.INFERENCE, + clip_name=job.clip_name, + params=params, + ) + + if next_job and queue.submit(next_job): + logger.info(f"Pipeline chain: {job.job_type.value} → {next_job.job_type.value} for '{job.clip_name}'") + + +def _run_job(service: CorridorKeyService, job: GPUJob, queue: GPUJobQueue, clips_dir: str) -> None: + """Run a single job (called from thread pool).""" + queue.start_job(job) + manager.send_job_status(job.id, JobStatus.RUNNING.value) + + try: + if job.job_type in _CPU_JOB_TYPES: + clip = _find_clip(service, clips_dir, job.clip_name) + if clip is None: + raise CorridorKeyError(f"Clip '{job.clip_name}' not found") + _execute_extraction(job, clip, clips_dir) + else: + _execute_gpu_job(service, job, clips_dir) + + queue.complete_job(job) + manager.send_job_status(job.id, JobStatus.COMPLETED.value) + + # Auto-chain next pipeline step + _chain_next_pipeline_step(job, queue, clips_dir, service) + except JobCancelledError: + queue.mark_cancelled(job) + manager.send_job_status(job.id, JobStatus.CANCELLED.value) + except Exception as e: + error_msg = str(e) + logger.exception(f"Job {job.id} failed: {error_msg}") + queue.fail_job(job, error_msg) + manager.send_job_status(job.id, JobStatus.FAILED.value, error=error_msg) + + +# Track running GPU jobs +_running_gpu_count = 0 +_running_gpu_lock = threading.Lock() + + +def _detect_local_gpu_count() -> int: + """Detect number of local GPUs for worker concurrency.""" + try: + import torch + + if torch.cuda.is_available(): + return max(1, torch.cuda.device_count()) + except Exception: + pass + return 1 + + +def worker_loop( + service: CorridorKeyService, + queue: GPUJobQueue, + clips_dir: str, + stop_event: threading.Event, + max_gpu_workers: int = 0, # 0 = auto-detect (1 per GPU) + max_cpu_workers: int = 4, +) -> None: + """Main worker loop with parallel execution. + + CPU jobs (extraction) run in a separate thread pool and never block GPU jobs. + GPU jobs are limited to one per physical GPU to prevent model thrashing — + CorridorKey and GVM can't share a single GPU simultaneously. + """ + global _running_gpu_count + + if max_gpu_workers <= 0: + max_gpu_workers = _detect_local_gpu_count() + + gpu_pool = ThreadPoolExecutor(max_workers=max_gpu_workers, thread_name_prefix="gpu-worker") + cpu_pool = ThreadPoolExecutor(max_workers=max_cpu_workers, thread_name_prefix="cpu-worker") + + logger.info(f"Worker pool started (GPU workers: {max_gpu_workers}, CPU workers: {max_cpu_workers})") + + def _on_gpu_done(future, job=None): + global _running_gpu_count + with _running_gpu_lock: + _running_gpu_count -= 1 + + while not stop_event.is_set(): + job = queue.next_job() + if job is None: + stop_event.wait(0.5) + continue + + is_cpu = job.job_type in _CPU_JOB_TYPES + + if is_cpu: + # CPU jobs always start immediately + future = cpu_pool.submit(_run_job, service, job, queue, clips_dir) + else: + # GPU job — check VRAM and concurrency + with _running_gpu_lock: + if _running_gpu_count >= max_gpu_workers: + # Pool full, wait + stop_event.wait(0.5) + continue + + if not _can_start_gpu_job(): + # Not enough VRAM, wait and retry + stop_event.wait(1.0) + continue + + _running_gpu_count += 1 + + future = gpu_pool.submit(_run_job, service, job, queue, clips_dir) + future.add_done_callback(lambda f, j=job: _on_gpu_done(f, j)) + + logger.info("Shutting down worker pools") + gpu_pool.shutdown(wait=True, cancel_futures=True) + cpu_pool.shutdown(wait=True, cancel_futures=True) + logger.info("Worker pools stopped") + + +def start_worker( + service: CorridorKeyService, + queue: GPUJobQueue, + clips_dir: str, +) -> tuple[threading.Thread, threading.Event]: + """Start the worker daemon thread. Returns (thread, stop_event).""" + stop_event = threading.Event() + thread = threading.Thread( + target=worker_loop, + args=(service, queue, clips_dir, stop_event), + daemon=True, + name="worker-dispatcher", + ) + thread.start() + return thread, stop_event diff --git a/web/api/ws.py b/web/api/ws.py new file mode 100644 index 00000000..4ff47aeb --- /dev/null +++ b/web/api/ws.py @@ -0,0 +1,106 @@ +"""WebSocket endpoint and connection manager for real-time updates.""" + +from __future__ import annotations + +import asyncio +import json +import logging +from typing import Any + +from fastapi import WebSocket, WebSocketDisconnect + +logger = logging.getLogger(__name__) + + +class ConnectionManager: + """Manages active WebSocket connections and broadcasts messages.""" + + def __init__(self): + self._connections: list[WebSocket] = [] + self._loop: asyncio.AbstractEventLoop | None = None + + def set_loop(self, loop: asyncio.AbstractEventLoop) -> None: + self._loop = loop + + async def connect(self, ws: WebSocket) -> None: + await ws.accept() + self._connections.append(ws) + logger.info(f"WebSocket connected ({len(self._connections)} total)") + + def disconnect(self, ws: WebSocket) -> None: + if ws in self._connections: + self._connections.remove(ws) + logger.info(f"WebSocket disconnected ({len(self._connections)} total)") + + async def _broadcast(self, message: dict[str, Any]) -> None: + payload = json.dumps(message) + dead: list[WebSocket] = [] + for ws in self._connections: + try: + await ws.send_text(payload) + except Exception: + dead.append(ws) + for ws in dead: + self.disconnect(ws) + + def broadcast_sync(self, message: dict[str, Any]) -> None: + """Thread-safe broadcast from the worker thread.""" + if not self._connections or self._loop is None: + return + try: + asyncio.run_coroutine_threadsafe(self._broadcast(message), self._loop) + except RuntimeError: + pass + + def send_job_progress(self, job_id: str, clip_name: str, current: int, total: int) -> None: + self.broadcast_sync( + { + "type": "job:progress", + "data": {"job_id": job_id, "clip_name": clip_name, "current": current, "total": total}, + } + ) + + def send_job_status(self, job_id: str, status: str, error: str | None = None) -> None: + self.broadcast_sync( + { + "type": "job:status", + "data": {"job_id": job_id, "status": status, "error": error}, + } + ) + + def send_job_warning(self, job_id: str, message: str) -> None: + self.broadcast_sync( + { + "type": "job:warning", + "data": {"job_id": job_id, "message": message}, + } + ) + + def send_clip_state_changed(self, clip_name: str, new_state: str) -> None: + self.broadcast_sync( + { + "type": "clip:state_changed", + "data": {"clip_name": clip_name, "new_state": new_state}, + } + ) + + def send_vram_update(self, vram: dict) -> None: + self.broadcast_sync( + { + "type": "vram:update", + "data": vram, + } + ) + + +manager = ConnectionManager() + + +async def websocket_endpoint(ws: WebSocket) -> None: + await manager.connect(ws) + try: + while True: + # Keep connection alive; we don't expect client messages + await ws.receive_text() + except WebSocketDisconnect: + manager.disconnect(ws) diff --git a/web/frontend/.gitignore b/web/frontend/.gitignore new file mode 100644 index 00000000..3b462cb0 --- /dev/null +++ b/web/frontend/.gitignore @@ -0,0 +1,23 @@ +node_modules + +# Output +.output +.vercel +.netlify +.wrangler +/.svelte-kit +/build + +# OS +.DS_Store +Thumbs.db + +# Env +.env +.env.* +!.env.example +!.env.test + +# Vite +vite.config.js.timestamp-* +vite.config.ts.timestamp-* diff --git a/web/frontend/.npmrc b/web/frontend/.npmrc new file mode 100644 index 00000000..b6f27f13 --- /dev/null +++ b/web/frontend/.npmrc @@ -0,0 +1 @@ +engine-strict=true diff --git a/web/frontend/README.md b/web/frontend/README.md new file mode 100644 index 00000000..95fabbba --- /dev/null +++ b/web/frontend/README.md @@ -0,0 +1,42 @@ +# sv + +Everything you need to build a Svelte project, powered by [`sv`](https://github.com/sveltejs/cli). + +## Creating a project + +If you're seeing this, you've probably already done this step. Congrats! + +```sh +# create a new project +npx sv create my-app +``` + +To recreate this project with the same configuration: + +```sh +# recreate this project +npx sv@0.12.7 create --template minimal --types ts --no-install frontend +``` + +## Developing + +Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server: + +```sh +npm run dev + +# or start the server and open the app in a new browser tab +npm run dev -- --open +``` + +## Building + +To create a production version of your app: + +```sh +npm run build +``` + +You can preview the production build with `npm run preview`. + +> To deploy your app, you may need to install an [adapter](https://svelte.dev/docs/kit/adapters) for your target environment. diff --git a/web/frontend/package-lock.json b/web/frontend/package-lock.json new file mode 100644 index 00000000..28940381 --- /dev/null +++ b/web/frontend/package-lock.json @@ -0,0 +1,1541 @@ +{ + "name": 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"typescript": "^5.9.3", + "vite": "^7.3.1" + }, + "dependencies": { + "@sveltejs/adapter-static": "^3.0.10" + } +} diff --git a/web/frontend/src/app.css b/web/frontend/src/app.css new file mode 100644 index 00000000..1b76736e --- /dev/null +++ b/web/frontend/src/app.css @@ -0,0 +1,146 @@ +/* CorridorKey WebUI — Corridor Digital Brand */ + +:root { + /* Surface layers — warm blacks */ + --surface-0: #000000; + --surface-1: #0c0b08; + --surface-2: #151411; + --surface-3: #1c1b17; + --surface-4: #2a2923; + --surface-5: #353430; + + /* Corridor Digital signature yellow */ + --accent: #fff203; + --accent-dim: #e6da00; + --accent-muted: rgba(255, 242, 3, 0.10); + --accent-glow: rgba(255, 242, 3, 0.05); + --accent-strong: rgba(255, 242, 3, 0.18); + + /* Secondary: Corridor cyan blue */ + --secondary: #009ADA; + --secondary-hover: #00B5FF; + --secondary-muted: rgba(0, 154, 218, 0.12); + + /* State colors — all readable on dark bg */ + --state-raw: #f0a030; + --state-ready: #3db8ff; + --state-complete: #5dd879; + --state-error: #ff5252; + --state-extracting: #ffab40; + --state-masked: #ce93d8; + --state-running: #fff203; + --state-queued: #90a4ae; + --state-cancelled: #757575; + --state-failed: #ff5252; + + /* Text hierarchy */ + --text-primary: #f0efe8; + --text-secondary: #9d9c93; + --text-tertiary: #605f56; + --text-accent: var(--accent); + + /* Borders */ + --border: rgba(255, 255, 255, 0.07); + --border-subtle: rgba(255, 255, 255, 0.04); + --border-active: rgba(255, 242, 3, 0.35); + + /* Typography */ + --font-mono: 'JetBrains Mono', 'SF Mono', 'Fira Code', monospace; + --font-sans: 'Outfit', -apple-system, BlinkMacSystemFont, sans-serif; + + /* Spacing scale */ + --sp-1: 4px; + --sp-2: 8px; + --sp-3: 14px; + --sp-4: 20px; + --sp-5: 26px; + --sp-6: 32px; + --sp-8: 44px; + --sp-10: 56px; + + /* Radius */ + --radius-sm: 5px; + --radius-md: 8px; + --radius-lg: 12px; + + /* Sidebar width */ + --sidebar-w: 280px; +} + +/* Reset */ +*, +*::before, +*::after { + box-sizing: border-box; + margin: 0; + padding: 0; +} + +html, body { + height: 100%; + background: var(--surface-0); + color: var(--text-primary); + font-family: var(--font-sans); + font-size: 16px; + line-height: 1.5; + font-weight: 400; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; + overflow: hidden; +} + +/* Scrollbar styling */ +::-webkit-scrollbar { + width: 5px; + height: 5px; +} + +::-webkit-scrollbar-track { + background: transparent; +} + +::-webkit-scrollbar-thumb { + background: var(--surface-5); + border-radius: 3px; +} + +::-webkit-scrollbar-thumb:hover { + background: var(--text-tertiary); +} + +/* Global link reset */ +a { + color: inherit; + text-decoration: none; +} + +/* Utility: monospace readout text */ +.mono { + font-family: var(--font-mono); + font-size: 13px; + letter-spacing: 0.01em; +} + +/* Focus ring */ +:focus-visible { + outline: 1.5px solid var(--accent); + outline-offset: 2px; +} + +/* Selection */ +::selection { + background: rgba(255, 242, 3, 0.2); + color: #fff; +} + +/* Film grain overlay — subtle cinematic texture */ +body::after { + content: ''; + position: fixed; + inset: 0; + pointer-events: none; + z-index: 9999; + opacity: 0.02; + background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 256 256' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='4' stitchTiles='stitch'/%3E%3C/filter%3E%3Crect width='100%25' height='100%25' filter='url(%23n)'/%3E%3C/svg%3E"); + background-size: 256px 256px; +} diff --git a/web/frontend/src/app.d.ts b/web/frontend/src/app.d.ts new file mode 100644 index 00000000..da08e6da --- /dev/null +++ b/web/frontend/src/app.d.ts @@ -0,0 +1,13 @@ +// See https://svelte.dev/docs/kit/types#app.d.ts +// for information about these interfaces +declare global { + namespace App { + // interface Error {} + // interface Locals {} + // interface PageData {} + // interface PageState {} + // interface Platform {} + } +} + +export {}; diff --git a/web/frontend/src/app.html b/web/frontend/src/app.html new file mode 100644 index 00000000..1ba150fc --- /dev/null +++ b/web/frontend/src/app.html @@ -0,0 +1,14 @@ + + + + + + + + + %sveltekit.head% + + +
%sveltekit.body%
+ + diff --git a/web/frontend/src/components/ClipCard.svelte b/web/frontend/src/components/ClipCard.svelte new file mode 100644 index 00000000..a0c83993 --- /dev/null +++ b/web/frontend/src/components/ClipCard.svelte @@ -0,0 +1,180 @@ + + + +
+ {#if thumbUrl} + {clip.name} preview + {:else} +
+ + + + + +
+ {/if} + {clip.state} +
+
+ +
+ {clip.name} +
+ {clip.frame_count} frames + {#if clip.completed_frames > 0} + · + {clip.completed_frames} done + {/if} +
+ {#if clip.error_message} + {clip.error_message} + {/if} +
+ + + diff --git a/web/frontend/src/components/ContextMenu.svelte b/web/frontend/src/components/ContextMenu.svelte new file mode 100644 index 00000000..90e66610 --- /dev/null +++ b/web/frontend/src/components/ContextMenu.svelte @@ -0,0 +1,134 @@ + + + + +{#if visible && items.length > 0} +
+ {#each items as item} + {#if item.label === '---'} +
+ {:else} + + {/if} + {/each} +
+{/if} + + diff --git a/web/frontend/src/components/FrameViewer.svelte b/web/frontend/src/components/FrameViewer.svelte new file mode 100644 index 00000000..74f4fc3c --- /dev/null +++ b/web/frontend/src/components/FrameViewer.svelte @@ -0,0 +1,498 @@ + + + + +
+
+ {#if mode === 'compare'} +
+ {#if compareUrl} + Compare — {comparePass} + {/if} + {passLabels[comparePass] ?? comparePass} +
+
+
+ {#if imgUrl} + Frame {currentFrame} — {selectedPass} + {/if} + {passLabels[selectedPass] ?? selectedPass} +
+ {:else if mode === 'video' && videoUrl} + + + {:else if imgUrl && !error} + Frame {currentFrame} — {selectedPass} + {/if} + {#if loading && mode === 'frame'} +
+ {/if} + {#if error && mode === 'frame'} +
Frame unavailable
+ {/if} + {#if !imgUrl && !videoUrl} +
No frames
+ {/if} + {#if mode !== 'video' && frameCount > 0} +
{currentFrame + 1} / {frameCount}
+ {/if} +
+ +
+
+
+ {#each availablePasses as pass} + + {/each} +
+ +
+ {#if frameCount > 1} +
+ + + +
+ {/if} + {#if downloadUrl} + + + + + + {passLabels[selectedPass] ?? selectedPass} + + {/if} +
+
+ + {#if (mode === 'frame' || mode === 'compare') && frameCount > 1} +
+ + + +
+ {/if} + + {#if mode === 'compare'} +
+ COMPARE LEFT +
+ {#each availablePasses as pass} + + {/each} +
+
+ {/if} + + {#if mode === 'video' && frameCount > 1} +
+ FPS + + Change FPS to re-encode preview +
+ {/if} +
+
+ + diff --git a/web/frontend/src/components/InferenceForm.svelte b/web/frontend/src/components/InferenceForm.svelte new file mode 100644 index 00000000..8330929f --- /dev/null +++ b/web/frontend/src/components/InferenceForm.svelte @@ -0,0 +1,308 @@ + + +
+
+

INFERENCE PARAMS

+ + + + + + + +
+ + +
+
+ +
+

OUTPUT PASSES

+ +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+
+
+ + diff --git a/web/frontend/src/components/JobRow.svelte b/web/frontend/src/components/JobRow.svelte new file mode 100644 index 00000000..fb489ced --- /dev/null +++ b/web/frontend/src/components/JobRow.svelte @@ -0,0 +1,219 @@ + + + +
+
+ + {label} +
+ +
+ {job.clip_name} + {#if isRunning} + + {:else} + {job.status.toUpperCase()} + {/if} +
+ +
+ {job.id} + {#if showCancel && (job.status === 'running' || job.status === 'queued')} + + {/if} +
+ + {#if job.error_message} +
+ {job.error_message} + {#if isFailed} + {expanded ? '▲ collapse' : '▼ click for details'} + {/if} +
+ {/if} + {#if expanded && logDetail} + 
{logDetail}
+ {/if} +
+ + diff --git a/web/frontend/src/components/KeyboardHelp.svelte b/web/frontend/src/components/KeyboardHelp.svelte new file mode 100644 index 00000000..20428a9d --- /dev/null +++ b/web/frontend/src/components/KeyboardHelp.svelte @@ -0,0 +1,114 @@ + + + + +{#if visible} + +
{ visible = false; }}> + +
e.stopPropagation()}> +
+

Keyboard Shortcuts

+ +
+
+ {#each shortcuts as s} +
+ {s.keys} + {s.desc} +
+ {/each} +
+
+
+{/if} + + diff --git a/web/frontend/src/components/ProgressBar.svelte b/web/frontend/src/components/ProgressBar.svelte new file mode 100644 index 00000000..d40a7667 --- /dev/null +++ b/web/frontend/src/components/ProgressBar.svelte @@ -0,0 +1,130 @@ + + +
+
+
+
+ {#if showLabel && total > 0} +
+ {current}/{total} · {pct.toFixed(0)}% + {#if fps} + {fps} fps + {/if} + {#if eta} + {eta} left + {/if} +
+ {/if} +
+ + diff --git a/web/frontend/src/components/ToastContainer.svelte b/web/frontend/src/components/ToastContainer.svelte new file mode 100644 index 00000000..1ae3df76 --- /dev/null +++ b/web/frontend/src/components/ToastContainer.svelte @@ -0,0 +1,64 @@ + + +{#if $toasts.length > 0} +
+ {#each $toasts as t (t.id)} + + {/each} +
+{/if} + + diff --git a/web/frontend/src/components/VramMeter.svelte b/web/frontend/src/components/VramMeter.svelte new file mode 100644 index 00000000..d6dd2446 --- /dev/null +++ b/web/frontend/src/components/VramMeter.svelte @@ -0,0 +1,106 @@ + + +
+
+ VRAM + {#if info && info.available} + {allocGb}/{totalGb} GB + {:else} + N/A + {/if} +
+
+
80} + class:crit={pct > 95} + style="width: {pct}%" + >
+ +
+
+
+
+ {#if info?.name} + {info.name} + {/if} +
+ + diff --git a/web/frontend/src/lib/api.ts b/web/frontend/src/lib/api.ts new file mode 100644 index 00000000..1429baa9 --- /dev/null +++ b/web/frontend/src/lib/api.ts @@ -0,0 +1,226 @@ +/** Typed fetch wrappers for the CorridorKey API. */ + +const BASE = ''; + +async function request(method: string, path: string, body?: unknown): Promise { + const opts: RequestInit = { + method, + headers: { 'Content-Type': 'application/json' } + }; + if (body !== undefined) { + opts.body = JSON.stringify(body); + } + const res = await fetch(`${BASE}${path}`, opts); + if (!res.ok) { + const detail = await res.json().catch(() => ({ detail: res.statusText })); + throw new Error(detail.detail || res.statusText); + } + return res.json(); +} + +// --- Types --- + +export interface ClipAsset { + path: string; + asset_type: string; + frame_count: number; +} + +export interface Clip { + name: string; + root_path: string; + state: string; + input_asset: ClipAsset | null; + alpha_asset: ClipAsset | null; + mask_asset: ClipAsset | null; + frame_count: number; + completed_frames: number; + has_outputs: boolean; + warnings: string[]; + error_message: string | null; +} + +export interface ClipListResponse { + clips: Clip[]; + clips_dir: string; +} + +export interface Job { + id: string; + job_type: string; + clip_name: string; + status: string; + current_frame: number; + total_frames: number; + error_message: string | null; +} + +export interface JobListResponse { + current: Job | null; + running: Job[]; + queued: Job[]; + history: Job[]; +} + +export interface InferenceParams { + input_is_linear: boolean; + despill_strength: number; + auto_despeckle: boolean; + despeckle_size: number; + refiner_scale: number; +} + +export interface OutputConfig { + fg_enabled: boolean; + fg_format: string; + matte_enabled: boolean; + matte_format: string; + comp_enabled: boolean; + comp_format: string; + processed_enabled: boolean; + processed_format: string; +} + +export interface VRAMInfo { + total: number; + reserved: number; + allocated: number; + free: number; + name: string; + available: boolean; +} + +export interface Project { + name: string; + display_name: string; + path: string; + clip_count: number; + created: string | null; + clips: Clip[]; +} + +export interface DeviceInfo { + device: string; +} + +export interface WeightInfo { + installed: boolean; + path: string; + detail: string | null; + size_hint: string; + download?: { status: string; error: string | null }; +} + +// --- API calls --- + +export const api = { + projects: { + list: () => request('GET', '/api/projects'), + create: (name: string) => request('POST', '/api/projects', { name }), + rename: (name: string, display_name: string) => + request('PATCH', `/api/projects/${encodeURIComponent(name)}`, { display_name }), + delete: (name: string) => request('DELETE', `/api/projects/${encodeURIComponent(name)}`) + }, + clips: { + list: () => request('GET', '/api/clips'), + get: (name: string) => request('GET', `/api/clips/${encodeURIComponent(name)}`), + delete: (name: string) => request('DELETE', `/api/clips/${encodeURIComponent(name)}`), + move: (name: string, targetProject: string) => + request('POST', `/api/clips/${encodeURIComponent(name)}/move?target_project=${encodeURIComponent(targetProject)}`) + }, + jobs: { + list: () => request('GET', '/api/jobs'), + submitInference: ( + clip_names: string[], + params?: Partial, + output_config?: Partial, + frame_range?: [number, number] | null + ) => + request('POST', '/api/jobs/inference', { + clip_names, + params: params ?? {}, + output_config: output_config ?? {}, + frame_range: frame_range ?? null + }), + submitPipeline: ( + clip_names: string[], + alpha_method = 'gvm', + params?: Partial, + output_config?: Partial + ) => + request('POST', '/api/jobs/pipeline', { + clip_names, + alpha_method, + params: params ?? {}, + output_config: output_config ?? {} + }), + submitExtract: (clip_names: string[]) => + request('POST', '/api/jobs/extract', { clip_names }), + submitGVM: (clip_names: string[]) => + request('POST', '/api/jobs/gvm', { clip_names }), + submitVideoMaMa: (clip_names: string[], chunk_size = 50) => + request('POST', '/api/jobs/videomama', { clip_names, chunk_size }), + getLog: (jobId: string) => request>('GET', `/api/jobs/${jobId}/log`), + cancel: (jobId: string) => request('DELETE', `/api/jobs/${jobId}`), + cancelAll: () => request('DELETE', '/api/jobs') + }, + system: { + device: () => request('GET', '/api/system/device'), + vram: () => request('GET', '/api/system/vram'), + unload: () => request('POST', '/api/system/unload'), + getVramLimit: () => request<{ vram_limit_gb: number }>('GET', '/api/system/vram-limit'), + setVramLimit: (gb: number) => request('POST', `/api/system/vram-limit?vram_limit_gb=${gb}`), + weights: () => request>('GET', '/api/system/weights'), + downloadWeights: (name: string) => request('POST', `/api/system/weights/download/${name}`) + }, + upload: { + video: async (file: File, name?: string, autoExtract = true): Promise<{ status: string; clips: Clip[]; extract_jobs: string[] }> => { + const form = new FormData(); + form.append('file', file); + const qs = new URLSearchParams(); + if (name) qs.set('name', name); + qs.set('auto_extract', String(autoExtract)); + const res = await fetch(`${BASE}/api/upload/video?${qs}`, { method: 'POST', body: form }); + if (!res.ok) { + const detail = await res.json().catch(() => ({ detail: res.statusText })); + throw new Error(detail.detail || res.statusText); + } + return res.json(); + }, + frames: async (file: File, name?: string): Promise<{ status: string; clips: Clip[]; frame_count: number }> => { + const form = new FormData(); + form.append('file', file); + const params = name ? `?name=${encodeURIComponent(name)}` : ''; + const res = await fetch(`${BASE}/api/upload/frames${params}`, { method: 'POST', body: form }); + if (!res.ok) { + const detail = await res.json().catch(() => ({ detail: res.statusText })); + throw new Error(detail.detail || res.statusText); + } + return res.json(); + }, + mask: async (clipName: string, file: File): Promise => { + const form = new FormData(); + form.append('file', file); + const res = await fetch(`${BASE}/api/upload/mask/${encodeURIComponent(clipName)}`, { method: 'POST', body: form }); + if (!res.ok) { + const detail = await res.json().catch(() => ({ detail: res.statusText })); + throw new Error(detail.detail || res.statusText); + } + return res.json(); + }, + alpha: async (clipName: string, file: File): Promise => { + const form = new FormData(); + form.append('file', file); + const res = await fetch(`${BASE}/api/upload/alpha/${encodeURIComponent(clipName)}`, { method: 'POST', body: form }); + if (!res.ok) { + const detail = await res.json().catch(() => ({ detail: res.statusText })); + throw new Error(detail.detail || res.statusText); + } + return res.json(); + } + }, + preview: { + url: (clipName: string, passName: string, frame: number) => + `${BASE}/api/preview/${encodeURIComponent(clipName)}/${passName}/${frame}` + } +}; diff --git a/web/frontend/src/lib/assets/favicon.svg b/web/frontend/src/lib/assets/favicon.svg new file mode 100644 index 00000000..cc5dc66a --- /dev/null +++ b/web/frontend/src/lib/assets/favicon.svg @@ -0,0 +1 @@ +svelte-logo \ No newline at end of file diff --git a/web/frontend/src/lib/index.ts b/web/frontend/src/lib/index.ts new file mode 100644 index 00000000..856f2b6c --- /dev/null +++ b/web/frontend/src/lib/index.ts @@ -0,0 +1 @@ +// place files you want to import through the `$lib` alias in this folder. diff --git a/web/frontend/src/lib/stores/clips.ts b/web/frontend/src/lib/stores/clips.ts new file mode 100644 index 00000000..687796e3 --- /dev/null +++ b/web/frontend/src/lib/stores/clips.ts @@ -0,0 +1,22 @@ +import { writable } from 'svelte/store'; +import type { Clip } from '$lib/api'; +import { api } from '$lib/api'; + +export const clips = writable([]); +export const clipsDir = writable(''); +export const clipsLoading = writable(false); +export const clipsError = writable(null); + +export async function refreshClips() { + clipsLoading.set(true); + clipsError.set(null); + try { + const res = await api.clips.list(); + clips.set(res.clips); + clipsDir.set(res.clips_dir); + } catch (e) { + clipsError.set(e instanceof Error ? e.message : String(e)); + } finally { + clipsLoading.set(false); + } +} diff --git a/web/frontend/src/lib/stores/jobs.ts b/web/frontend/src/lib/stores/jobs.ts new file mode 100644 index 00000000..dde48b04 --- /dev/null +++ b/web/frontend/src/lib/stores/jobs.ts @@ -0,0 +1,98 @@ +import { writable, derived, get } from 'svelte/store'; +import type { Job } from '$lib/api'; +import { api } from '$lib/api'; + +/** First running job (backward compat for activity bar). */ +export const currentJob = writable(null); +/** All currently running jobs. */ +export const runningJobs = writable([]); +export const queuedJobs = writable([]); +export const jobHistory = writable([]); + +/** Timestamp when the current job started (for ETA calculation). */ +export const jobStartedAt = writable(null); + +export const activeJobCount = derived( + [runningJobs, queuedJobs], + ([$running, $queued]) => $running.length + $queued.length +); + +let refreshPending = false; + +export async function refreshJobs() { + if (refreshPending) return; + refreshPending = true; + try { + const res = await api.jobs.list(); + const prev = get(currentJob); + currentJob.set(res.current); + runningJobs.set(res.running ?? (res.current ? [res.current] : [])); + queuedJobs.set(res.queued); + jobHistory.set(res.history); + + // Track when a new job starts running + if (res.current && (!prev || prev.id !== res.current.id)) { + jobStartedAt.set(Date.now()); + } else if (!res.current) { + jobStartedAt.set(null); + } + } catch { + // silently fail + } finally { + refreshPending = false; + } +} + +/** + * Update a job from a WebSocket message. + * Returns true if the job was found and updated, false if not. + */ +export function updateJobFromWS(jobId: string, updates: Partial): boolean { + let found = false; + + // Check running jobs + runningJobs.update((jobs) => + jobs.map((j) => { + if (j.id === jobId) { + found = true; + return { ...j, ...updates }; + } + return j; + }) + ); + + // Also update currentJob for backward compat + currentJob.update((j) => { + if (j && j.id === jobId) { + found = true; + return { ...j, ...updates }; + } + return j; + }); + + if (!found) { + queuedJobs.update((jobs) => + jobs.map((j) => { + if (j.id === jobId) { + found = true; + return { ...j, ...updates }; + } + return j; + }) + ); + } + + if (!found) { + jobHistory.update((jobs) => + jobs.map((j) => { + if (j.id === jobId) { + found = true; + return { ...j, ...updates }; + } + return j; + }) + ); + } + + return found; +} diff --git a/web/frontend/src/lib/stores/settings.ts b/web/frontend/src/lib/stores/settings.ts new file mode 100644 index 00000000..4472b3af --- /dev/null +++ b/web/frontend/src/lib/stores/settings.ts @@ -0,0 +1,55 @@ +import { writable } from 'svelte/store'; +import type { InferenceParams, OutputConfig } from '$lib/api'; + +/** + * Create a writable store that persists to localStorage. + * Falls back to the default value if localStorage is unavailable or empty. + */ +function persisted(key: string, defaultValue: T) { + let initial = defaultValue; + if (typeof window !== 'undefined') { + try { + const stored = localStorage.getItem(key); + if (stored !== null) { + initial = JSON.parse(stored); + } + } catch { + // ignore parse errors + } + } + + const store = writable(initial); + + store.subscribe((value) => { + if (typeof window !== 'undefined') { + try { + localStorage.setItem(key, JSON.stringify(value)); + } catch { + // ignore quota errors + } + } + }); + + return store; +} + +export const autoExtractFrames = persisted('ck:autoExtractFrames', true); + +export const defaultParams = persisted('ck:defaultParams', { + input_is_linear: false, + despill_strength: 1.0, + auto_despeckle: true, + despeckle_size: 400, + refiner_scale: 1.0 +}); + +export const defaultOutputConfig = persisted('ck:defaultOutputConfig', { + fg_enabled: true, + fg_format: 'exr', + matte_enabled: true, + matte_format: 'exr', + comp_enabled: true, + comp_format: 'png', + processed_enabled: true, + processed_format: 'exr' +}); diff --git a/web/frontend/src/lib/stores/system.ts b/web/frontend/src/lib/stores/system.ts new file mode 100644 index 00000000..fdbb39cf --- /dev/null +++ b/web/frontend/src/lib/stores/system.ts @@ -0,0 +1,27 @@ +import { writable } from 'svelte/store'; +import type { VRAMInfo } from '$lib/api'; +import { api } from '$lib/api'; + +export const device = writable('detecting...'); +export const vram = writable(null); +export const wsConnected = writable(false); + +export async function refreshDevice() { + try { + const res = await api.system.device(); + device.set(res.device); + } catch { + device.set('unknown'); + } +} + +export async function refreshVRAM() { + try { + const res = await api.system.vram(); + if (res.available) { + vram.set(res); + } + } catch { + // ignore + } +} diff --git a/web/frontend/src/lib/stores/toasts.ts b/web/frontend/src/lib/stores/toasts.ts new file mode 100644 index 00000000..64284805 --- /dev/null +++ b/web/frontend/src/lib/stores/toasts.ts @@ -0,0 +1,32 @@ +import { writable } from 'svelte/store'; + +export interface Toast { + id: number; + message: string; + type: 'info' | 'success' | 'error' | 'warning'; + duration: number; +} + +let nextId = 0; + +export const toasts = writable([]); + +export function addToast(message: string, type: Toast['type'] = 'info', duration = 4000) { + const id = nextId++; + toasts.update((t) => [...t, { id, message, type, duration }]); + if (duration > 0) { + setTimeout(() => removeToast(id), duration); + } +} + +export function removeToast(id: number) { + toasts.update((t) => t.filter((toast) => toast.id !== id)); +} + +// Convenience aliases +export const toast = { + info: (msg: string, duration?: number) => addToast(msg, 'info', duration), + success: (msg: string, duration?: number) => addToast(msg, 'success', duration), + error: (msg: string, duration?: number) => addToast(msg, 'error', duration ?? 6000), + warning: (msg: string, duration?: number) => addToast(msg, 'warning', duration), +}; diff --git a/web/frontend/src/lib/ws.ts b/web/frontend/src/lib/ws.ts new file mode 100644 index 00000000..393311fd --- /dev/null +++ b/web/frontend/src/lib/ws.ts @@ -0,0 +1,81 @@ +/** WebSocket client with auto-reconnect. */ + +export interface WSMessage { + type: string; + data: Record; +} + +type MessageHandler = (msg: WSMessage) => void; + +let socket: WebSocket | null = null; +let handlers: MessageHandler[] = []; +let reconnectTimer: ReturnType | null = null; +let intentionallyClosed = false; + +function getWsUrl(): string { + const proto = window.location.protocol === 'https:' ? 'wss:' : 'ws:'; + return `${proto}//${window.location.host}/ws`; +} + +function doConnect() { + if (socket?.readyState === WebSocket.OPEN || socket?.readyState === WebSocket.CONNECTING) { + return; + } + + socket = new WebSocket(getWsUrl()); + + socket.onopen = () => { + if (reconnectTimer) { + clearTimeout(reconnectTimer); + reconnectTimer = null; + } + }; + + socket.onmessage = (event) => { + try { + const msg: WSMessage = JSON.parse(event.data); + for (const handler of handlers) { + handler(msg); + } + } catch { + // ignore malformed messages + } + }; + + socket.onclose = () => { + socket = null; + if (!intentionallyClosed) { + reconnectTimer = setTimeout(doConnect, 2000); + } + }; + + socket.onerror = () => { + socket?.close(); + }; +} + +export function connect() { + intentionallyClosed = false; + doConnect(); +} + +export function disconnect() { + intentionallyClosed = true; + if (reconnectTimer) { + clearTimeout(reconnectTimer); + reconnectTimer = null; + } + socket?.close(); + socket = null; +} + +export function onMessage(handler: MessageHandler): () => void { + handlers.push(handler); + return () => { + handlers = handlers.filter((h) => h !== handler); + }; +} + +export function isConnected(): boolean { + return socket?.readyState === WebSocket.OPEN; +} diff --git a/web/frontend/src/routes/+layout.svelte b/web/frontend/src/routes/+layout.svelte new file mode 100644 index 00000000..9f594a5a --- /dev/null +++ b/web/frontend/src/routes/+layout.svelte @@ -0,0 +1,402 @@ + + +
+ + +
+ {#each $runningJobs as rJob (rJob.id)} +
+
+ {rJob.job_type.replace('_', ' ')} + {rJob.clip_name} + {#if rJob.total_frames > 0} + {Math.round((rJob.current_frame / rJob.total_frames) * 100)}% + {/if} +
+
+
+
+
+ {/each} + {@render children()} +
+
+ + + + + diff --git a/web/frontend/src/routes/+page.svelte b/web/frontend/src/routes/+page.svelte new file mode 100644 index 00000000..9204e6b0 --- /dev/null +++ b/web/frontend/src/routes/+page.svelte @@ -0,0 +1,5 @@ + diff --git a/web/frontend/src/routes/clips/+page.svelte b/web/frontend/src/routes/clips/+page.svelte new file mode 100644 index 00000000..c6d20f99 --- /dev/null +++ b/web/frontend/src/routes/clips/+page.svelte @@ -0,0 +1,670 @@ + + + + Clips — CorridorKey + + + +
+
+
+

Projects

+ {#if !loading} + {projects.length} projects · {totalClips} clips + {/if} +
+
+ + + +
+
+ + {#if showCreateForm} +
+ + + +
+ {/if} + + {#if error || uploadError} +
+ {error || uploadError} +
+ {/if} + + {#if dragOver} +
+
+ + Drop videos or zipped frames +
+
+ {/if} + + {#if projects.length === 0 && !loading} +
+ + + + +

No projects yet

+

Drag & drop video files here, or click Upload to get started.

+
+ {:else} +
+ {#each projects as project (project.name)} + {@const collapsed = collapsedProjects.has(project.name)} +
+ +
toggleProject(project.name)} oncontextmenu={(e) => showProjectContext(e, project)}> + + + + {project.display_name} + {project.clip_count} clip{project.clip_count !== 1 ? 's' : ''} + {#if project.created} + {new Date(project.created).toLocaleDateString()} + {/if} + +
+ {#if !collapsed} +
{ e.preventDefault(); e.currentTarget.classList.add('drop-target'); }} + ondragleave={(e) => { e.currentTarget.classList.remove('drop-target'); }} + ondrop={async (e) => { + e.preventDefault(); + e.currentTarget.classList.remove('drop-target'); + const clipName = e.dataTransfer?.getData('text/clip-name'); + if (clipName) { + try { + await api.clips.move(clipName, project.name); + await loadProjects(); + } catch (err) { + toast.error(err instanceof Error ? err.message : String(err)); + } + } + }} + > + {#if project.clips.length === 0} +

Drop clips here or upload new ones

+ {:else} +
+ {#each project.clips as clip (clip.name)} +
{ e.dataTransfer?.setData('text/clip-name', clip.name); }} + oncontextmenu={(e) => showClipContext(e, clip, project)} + > + + {#if projects.length > 1} + + {/if} +
+ {/each} +
+ {/if} +
+ {/if} +
+ {/each} +
+ {/if} +
+ + + + diff --git a/web/frontend/src/routes/clips/[name]/+page.svelte b/web/frontend/src/routes/clips/[name]/+page.svelte new file mode 100644 index 00000000..c35108fb --- /dev/null +++ b/web/frontend/src/routes/clips/[name]/+page.svelte @@ -0,0 +1,539 @@ + + + + {clipName} — CorridorKey + + +
+
+ + + Clips + +

{clipName}

+ {#if clip} + {clip.state} + {/if} +
+ + {#if loading} +
Loading...
+ {:else if error} +
{error}
+ {:else if clip} +
+
+ + +
+
+ FRAMES + {clip.frame_count} +
+ {#if clip.completed_frames > 0} +
+ COMPLETED + {clip.completed_frames} +
+ {/if} + {#if clip.input_asset} +
+ INPUT TYPE + {clip.input_asset.asset_type} +
+ {/if} + {#if clip.alpha_asset} +
+ ALPHA FRAMES + {clip.alpha_asset.frame_count} +
+ {/if} + {#if clip.error_message} +
+ ERROR + {clip.error_message} +
+ {/if} +
+
+ +
+ + +
+ {#if canRunPipeline} + +
OR RUN INDIVIDUAL STEPS
+ {/if} + + {#if canExtract} + + {/if} + {#if canRunInference} + + {/if} + {#if canRunGVM} + + {/if} + {#if canRunVideoMaMa} + + {/if} + {#if canRunGVM || canRunVideoMaMa || canExtract} + + + {/if} + {#if !canRunInference && !canRunGVM && !canRunVideoMaMa && !canExtract && !canRunPipeline} +

Clip is complete.

+ {/if} + +
+
+
+ {/if} +
+ + diff --git a/web/frontend/src/routes/jobs/+page.svelte b/web/frontend/src/routes/jobs/+page.svelte new file mode 100644 index 00000000..179deb0f --- /dev/null +++ b/web/frontend/src/routes/jobs/+page.svelte @@ -0,0 +1,215 @@ + + + + Jobs — CorridorKey + + +
+
+

Jobs

+
+ + {#if hasActive} + + {/if} +
+
+ + + {#if $runningJobs.length > 0} +
+

RUNNING {$runningJobs.length}

+
+ {#each $runningJobs as job (job.id)} + + {/each} +
+
+ {/if} + + + {#if $queuedJobs.length > 0} +
+

QUEUED {$queuedJobs.length}

+
+ {#each $queuedJobs as job (job.id)} + + {/each} +
+
+ {/if} + + + {#if $jobHistory.length > 0} +
+

HISTORY

+
+ {#each $jobHistory as job (job.id)} + + {/each} +
+
+ {/if} + + {#if $runningJobs.length === 0 && $queuedJobs.length === 0 && $jobHistory.length === 0} +
+ + + +

No jobs

+

Submit a job from a clip's detail page.

+
+ {/if} +
+ + diff --git a/web/frontend/src/routes/settings/+page.svelte b/web/frontend/src/routes/settings/+page.svelte new file mode 100644 index 00000000..bc89793a --- /dev/null +++ b/web/frontend/src/routes/settings/+page.svelte @@ -0,0 +1,494 @@ + + + + Settings — CorridorKey + + +
+
+

Settings

+
+ +
+
+

MODEL WEIGHTS

+

Download model weights required for inference and alpha generation.

+ + {#if weightsLoading} +

Checking weights...

+ {:else} +
+ {#each Object.entries(weights) as [key, w]} + {@const label = weightLabels[key]} +
+
+
+ + {label?.name ?? key} +
+ {label?.desc ?? ''} + {#if w.installed && w.detail} + {w.detail} + {/if} + {#if w.download?.status === 'failed' && w.download.error} + {w.download.error} + {/if} +
+
+ {#if w.installed} + INSTALLED + {:else if w.download?.status === 'downloading'} + DOWNLOADING... + {:else} + + {/if} +
+
+ {/each} +
+ {/if} +
+ +
+

UPLOAD BEHAVIOR

+ +
+ +
+

DEFAULT PARAMETERS

+

Pre-fill values for the inference form.

+ +
+ +
+

GPU MANAGEMENT

+ +
+
+ Min Free VRAM for Parallel Jobs + GPU jobs won't start if free VRAM is below this. Set to 0 to disable (single job at a time). +
+
+ + {vramLimit === 0 ? 'OFF' : `${vramLimit} GB`} +
+
+ + +
+
+
+ + diff --git a/web/frontend/static/Corridor_Digital_Logo.svg b/web/frontend/static/Corridor_Digital_Logo.svg new file mode 100644 index 00000000..a21556b1 --- /dev/null +++ b/web/frontend/static/Corridor_Digital_Logo.svg @@ -0,0 +1,527 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + KLUv/QBY1DIDmj+fpSmQRGSYDwCAn2FiH1pU5hl1wemMyPqskwVsTySl0svntXsmEQBAFAEAEBsK +kQqPCp4rbrXpLzOZyggNu0fHeQYNN64e0JI4z6AQiIsREMdgLf2+aPuaW9DbDnBBu8cvOMOKNW/c +gtmXJbsyervmuKXnNkA7g6z4oIWxMJid35ePQBa0c2sYHUkfXtMsh7t0DLtdF8OdOfq4YBZ2OaJK +J7tvhdKFLpjtarh1Xeysdhm063wEsrTctEO7GnYhrDyLW/wFaXmW5bkN4M5pFwCrc7Ww+2pTxfy2 +5tbFxmiQlkFWfBAAbsWtHqBbpECfgZEi1bnamo0rHasd6MARWJplmVWjwRp+7bcN0L4gLfsWXHu5 +NeiaW+CsVXO54tncgs1xADUNygNI7r4tUB7AYZhtvTILa2GQlmNtDbvgrDXLMi3HoDygfdkWDbpm +PrOwywJpuYZjb+uKZy6Zg6z4wCRjAeAsy632feMWywW+NT23s9pl0awsvzUdg6z4gMMwl25dICs+ +aGHszAVnufOxxb4scH5bu4Zbd+6k+5pZFgDmOCa77wt0za05wKt9wdcrjl+w28JYecuga27Vbs2K +DxR1C7vvq3V1MAbK7Du3AWLQNbdcbftSWnHa0jU+x69Zfl1gDb/A1yt2te3LAmUzmBzL89t6WSzc +zuIWSMs1+77qlgZpec+gPMAHMGvNMFAe8Ou5DQDHLbeGWVAeEKtjcNaiQXp2zXFbuzEBNN3Oslyj +QXlAGLav7NZvrdMGYEcZNFaz8gqD3QBxRwA7py/bGrWvGxuQWXgEj0ipahqxpxcMRLutdga1Ys7c +buK6hqqmUdyCLV01jVwta2YZ0JJU04hm1UY1HF9U04iV6XbGelTTKOwgNVuP2gBuzb6t6Du6XcPu +LM9tgFimcNIkx/LVcnwpjt8k37etjNyXXenH0oslHLuwdu4GtK88i1ud7L6tV8uBwW6MdmHWVL9a +Tve3+DlJsu7Ldm4NsyONgWMAuHOM6QPaumth961rMTmS3devlsP72Gtx5X3bCq9pN4XBroDWNZUi +DEbbFntpsXJbD7DUr5bzed8b3Gw9EssWzL4sqwvgmF/d5hl089H7thVfj963dsmgMkVLv14fOG61 +I3WO4/dCll+k1K+Ww0uzlGNSHYO5IlL03PPeRw9y0SS78ZP9myTpR5CbvGw3dN3SNNq+LLaeY3mA +JaxbbkrP7mVA64IzO65raJdBFR2EZmdv3BJBV3aRLlb27svuWKbf2sylu7mVWbkzM2jpR7adUTme +K102s50A2Fem3TTNlEol2XIX/yL/nuVgedN0bNIUHWZbescW21363VLUrfZtRyDpS7Ir+ejNEuxi +Jzkcu7VLx6KY9LYiOiNCQZyjitXbuBjddj4HgEt3LneGdQG04HZmZRpm57ozM2j7srq2Zt+YdmFd +XYtlrRiWuXrZxf7h2K1ZALhzW9OsqKtrcl37dGYG3duz2hk2d7yb4zduda6ZjVn1zHbm9/+Pck2O +QV0LY2swmOXU7uuy2HpAS+raAHPtwqW9ehtXw24M4h0ntaL61XJWlzur/v/R09Ut3c6gbm67jvMM +2rrilguXwm6h6mY119V2ChQug8nWrIut25mAl4AX3bbmWjyqXy1nFtd1zOIBBDCCI/kHDIjB3DZG +crDsncdqlyvgZVtR2P1ylyM4mqZvuS9dtyNP3Y5mNgB3Wa5W1orfFo7huh2xNZu2rzxj6UeAR4AH +PbMB4Hc2oENmcU3XWisNIxSQGQsv6PZlse7MBlDQbV1juXNds3IAdQ1nwo6vXu1lA7SuGIbB7lyP +wm714HZ2vW6s5WhdMfzOBig6CDvPaLh6rtjD6ZweXbh6G8fWbGq6YMsqdrHXtMuhgDauBdq4jQPA +iQVq67p9WZALtnAeAMpHz/82OflFvk1wd+b4zfJ3cRxNcYulKI6fk100uUmO4O7+aIqmSI4i76Qp +kvyVZ+5IVb819tWmBS0ZH83Wqw4QgCYLndrWSxM3ScoEuJByANcOsBmFRgHSEkNyAFBEvNuc/WwO +m8UAaBFoQmbNt9oBlnDjXK4P3AawtHRJ0b1xTAm7vff7upf3dS+1W3PBcYX3bne8nllQ2G0cpOsg +G9foFopu4zpI92rTcONcp253fONEp25zrm6rCrpOt3knoBO7g253mm5vXACnbm8ceurGcvy8m36X +5v4iB3fnTXB3XizJPZp8m+LvpO+bc25+vrnYTfD3/XvpyZH047jBvXGibncPV+ua41YrqmNP2D26 +AGYWjt265abhxjXmz9tbWTzXo5ZLsxRZi61HL8ulXVPY8Y1rdOGig102Vpnb+nUvIRpuXKNrZ6wn +7BaRUlMzZadNh/vXwTGMKjbu0cECYngTbhzdvgHUo3pGTYfjz9qaDmDUvi23nlnQjHbfmDULYNQG 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'build', + fallback: 'index.html' + }) + }, + vitePlugin: { + dynamicCompileOptions: ({ filename }) => + filename.includes('node_modules') ? undefined : { runes: true } + } +}; + +export default config; diff --git a/web/frontend/tsconfig.json b/web/frontend/tsconfig.json new file mode 100644 index 00000000..2c2ed3c4 --- /dev/null +++ b/web/frontend/tsconfig.json @@ -0,0 +1,20 @@ +{ + "extends": "./.svelte-kit/tsconfig.json", + "compilerOptions": { + "rewriteRelativeImportExtensions": true, + "allowJs": true, + "checkJs": true, + "esModuleInterop": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "skipLibCheck": true, + "sourceMap": true, + "strict": true, + "moduleResolution": "bundler" + } + // Path aliases are handled by https://svelte.dev/docs/kit/configuration#alias + // except $lib which is handled by https://svelte.dev/docs/kit/configuration#files + // + // To make changes to top-level options such as include and exclude, we recommend extending + // the generated config; see https://svelte.dev/docs/kit/configuration#typescript +} diff --git a/web/frontend/vite.config.ts b/web/frontend/vite.config.ts new file mode 100644 index 00000000..1608bbab --- /dev/null +++ b/web/frontend/vite.config.ts @@ -0,0 +1,15 @@ +import { sveltekit } from '@sveltejs/kit/vite'; +import { defineConfig } from 'vite'; + +export default defineConfig({ + plugins: [sveltekit()], + server: { + proxy: { + '/api': 'http://localhost:3000', + '/ws': { + target: 'ws://localhost:3000', + ws: true + } + } + } +});