5e5a719f27
Make libplacebo actually reachable in the shipped agent image, and refuse it where it would be a regression. Dockerfile (so a Vulkan-capable host can use the GPU tonemap path): - install libvulkan1 (the Vulkan loader libplacebo links at runtime; ~150 KB) - add 'graphics' to NVIDIA_DRIVER_CAPABILITIES so the nvidia container runtime mounts the Vulkan ICD (nvidia_icd.json + GLX libs) under --gpus all Both are inert without a working Vulkan GPU — the functional probe gates use. hls.go: gate libplacebo on a real HW encoder (HWAccel != none). A software-only host with mesa would expose lavapipe (CPU Vulkan); the functional probe accepts it but its tonemap is SLOWER than the zscale CPU chain, so libplacebo there is a regression. No HW encoder -> stay on zscale. Verified on the GPU dev box: nvenc session still picks libplacebo (-c:v h264_nvenc -vf ...,libplacebo=...:tonemapping=bt.2390); new unit test locks the software-encoder path onto zscale.
109 lines
5 KiB
Docker
109 lines
5 KiB
Docker
# ---- Build stage ----
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# Pin the builder to the host's native arch and cross-compile (CGO is off, so
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# Go cross-compiles trivially). During multi-arch buildx this keeps `go build`
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# at native speed instead of compiling under QEMU emulation for the foreign arch.
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FROM --platform=$BUILDPLATFORM golang:1.25-alpine AS builder
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RUN apk add --no-cache git ca-certificates
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WORKDIR /src
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# Copy go.mod/go.sum first for layer caching
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COPY go.mod go.sum ./
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RUN go mod download
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# Copy source
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COPY . .
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ARG VERSION=dev
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ARG TARGETOS
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ARG TARGETARCH
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RUN CGO_ENABLED=0 GOOS=${TARGETOS} GOARCH=${TARGETARCH} go build -ldflags="-s -w -X github.com/torrentclaw/unarr/internal/cmd.Version=${VERSION}" -trimpath -o /unarr ./cmd/unarr/
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# ---- Runtime stage ----
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# glibc base (not Alpine/musl). NVIDIA's userspace — nvidia-smi and the
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# libnvidia-encode / libcuda libs that `--gpus all` injects, plus the static
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# BtbN ffmpeg that links nvenc — are all glibc ELF. On musl they fail with
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# "no such file or directory" (missing glibc loader), so HW transcode is
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# impossible on Alpine. bookworm-slim is the smallest base that runs the full
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# NVIDIA stack while still falling back to software libx264 when no GPU is
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# passed in.
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FROM debian:bookworm-slim
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# par2 → repair corrupted Usenet segments (without it a single bad segment
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# silently corrupts the output).
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# 7z → archive extractor for RAR/7z-packed downloads (p7zip-full also reads
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# RAR5, so unrar — unavailable as a free Debian package — isn't needed).
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# tzdata/ca-certificates → TLS + correct local time for schedules/logs.
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# libvulkan1 → the Vulkan loader (libvulkan.so.1). ffmpeg's libplacebo filter
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# (GPU HDR→SDR tonemap) loads Vulkan dynamically through it; without the
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# loader the filter can't reach a GPU even when the NVIDIA driver mounts
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# its ICD. ~150 KB. The agent only USES libplacebo after a functional
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# probe (FFmpegSupportsLibplacebo) succeeds AND a real HW encoder is
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# present, so this is inert on hosts without a working Vulkan GPU.
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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ca-certificates tzdata wget xz-utils par2 p7zip-full libvulkan1 && \
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rm -rf /var/lib/apt/lists/*
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# TARGETARCH is set automatically by Docker buildx during cross-builds.
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ARG TARGETARCH=amd64
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# Static GPL ffmpeg + ffprobe with nvenc compiled in (BtbN builds). nvenc is
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# linked but the actual libnvidia-encode.so is dlopen'd at runtime from the
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# host driver that `--gpus all` exposes — so the same binary does HW transcode
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# when a GPU is present and falls back to libx264 when it isn't. Placed in
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# /usr/local/bin so ResolveFFmpeg picks them up off PATH ahead of any distro
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# ffmpeg. arm64 has no nvenc but the build still serves software transcode.
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RUN case "$TARGETARCH" in \
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amd64) FF_ARCH=linux64 ;; \
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arm64) FF_ARCH=linuxarm64 ;; \
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*) echo "unsupported TARGETARCH=$TARGETARCH" >&2; exit 1 ;; \
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esac && \
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wget -4 --tries=3 --timeout=30 -qO /tmp/ffmpeg.tar.xz "https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-${FF_ARCH}-gpl.tar.xz" && \
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mkdir -p /tmp/ff && tar -xJf /tmp/ffmpeg.tar.xz -C /tmp/ff --strip-components=1 && \
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cp /tmp/ff/bin/ffmpeg /tmp/ff/bin/ffprobe /usr/local/bin/ && \
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chmod +x /usr/local/bin/ffmpeg /usr/local/bin/ffprobe && \
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rm -rf /tmp/ffmpeg.tar.xz /tmp/ff
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# Bundle cloudflared so `unarr funnel on` (default: on, see config defaults)
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# Just Works on a headless container with no first-run network round-trip.
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RUN case "$TARGETARCH" in \
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amd64) CF_ARCH=amd64 ;; \
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arm64) CF_ARCH=arm64 ;; \
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arm) CF_ARCH=armhf ;; \
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*) echo "unsupported TARGETARCH=$TARGETARCH" >&2; exit 1 ;; \
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esac && \
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wget -4 --tries=3 --timeout=30 -qO /usr/local/bin/cloudflared "https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-$CF_ARCH" && \
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chmod +x /usr/local/bin/cloudflared
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# Non-root user (UID 1000 matches typical host user for volume permissions)
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RUN groupadd -g 1000 unarr && useradd -u 1000 -g 1000 -m -d /home/unarr unarr
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# Default directories
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RUN mkdir -p /config /downloads /data && \
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chown -R unarr:unarr /config /downloads /data
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USER unarr
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COPY --from=builder /unarr /usr/local/bin/unarr
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# Environment: point config/data to container paths
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ENV UNARR_CONFIG_DIR=/config
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ENV UNARR_DOWNLOAD_DIR=/downloads
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ENV XDG_DATA_HOME=/data
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# NVIDIA passthrough defaults. `--gpus all` alone only grants the "utility" +
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# "compute" capabilities; nvenc needs "video", and "graphics" makes the runtime
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# mount the NVIDIA Vulkan ICD (nvidia_icd.json + GLX libs) so ffmpeg's libplacebo
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# filter (GPU HDR tonemap, paired with libvulkan1 above) can create a Vulkan
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# device. Baking these here means a plain `docker run --gpus all` (or the compose
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# device reservation) lights up HW transcode + GPU tonemap with zero extra flags.
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# Harmless when no GPU is attached.
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ENV NVIDIA_VISIBLE_DEVICES=all
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ENV NVIDIA_DRIVER_CAPABILITIES=video,compute,utility,graphics
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VOLUME ["/config", "/downloads", "/data"]
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ENTRYPOINT ["unarr"]
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CMD ["start"]
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