# ---- Build stage ----
# Pin the builder to the host's native arch and cross-compile (CGO is off, so
# Go cross-compiles trivially). During multi-arch buildx this keeps `go build`
# at native speed instead of compiling under QEMU emulation for the foreign arch.
FROM --platform=$BUILDPLATFORM golang:1.25-alpine AS builder

RUN apk add --no-cache git ca-certificates

WORKDIR /src

# Copy go.mod/go.sum first for layer caching
COPY go.mod go.sum ./
RUN go mod download

# Copy source
COPY . .

ARG VERSION=dev
ARG TARGETOS
ARG TARGETARCH
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/

# ---- Runtime stage ----
# glibc base (not Alpine/musl). NVIDIA's userspace — nvidia-smi and the
# libnvidia-encode / libcuda libs that `--gpus all` injects, plus the static
# BtbN ffmpeg that links nvenc — are all glibc ELF. On musl they fail with
# "no such file or directory" (missing glibc loader), so HW transcode is
# impossible on Alpine. bookworm-slim is the smallest base that runs the full
# NVIDIA stack while still falling back to software libx264 when no GPU is
# passed in.
FROM debian:bookworm-slim

# par2  → repair corrupted Usenet segments (without it a single bad segment
#         silently corrupts the output).
# 7z    → archive extractor for RAR/7z-packed downloads (p7zip-full also reads
#         RAR5, so unrar — unavailable as a free Debian package — isn't needed).
# tzdata/ca-certificates → TLS + correct local time for schedules/logs.
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
      ca-certificates tzdata wget xz-utils par2 p7zip-full && \
    rm -rf /var/lib/apt/lists/*

# TARGETARCH is set automatically by Docker buildx during cross-builds.
ARG TARGETARCH=amd64

# Static GPL ffmpeg + ffprobe with nvenc compiled in (BtbN builds). nvenc is
# linked but the actual libnvidia-encode.so is dlopen'd at runtime from the
# host driver that `--gpus all` exposes — so the same binary does HW transcode
# when a GPU is present and falls back to libx264 when it isn't. Placed in
# /usr/local/bin so ResolveFFmpeg picks them up off PATH ahead of any distro
# ffmpeg. arm64 has no nvenc but the build still serves software transcode.
RUN case "$TARGETARCH" in \
      amd64) FF_ARCH=linux64 ;; \
      arm64) FF_ARCH=linuxarm64 ;; \
      *)     echo "unsupported TARGETARCH=$TARGETARCH" >&2; exit 1 ;; \
    esac && \
    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" && \
    mkdir -p /tmp/ff && tar -xJf /tmp/ffmpeg.tar.xz -C /tmp/ff --strip-components=1 && \
    cp /tmp/ff/bin/ffmpeg /tmp/ff/bin/ffprobe /usr/local/bin/ && \
    chmod +x /usr/local/bin/ffmpeg /usr/local/bin/ffprobe && \
    rm -rf /tmp/ffmpeg.tar.xz /tmp/ff

# Bundle cloudflared so `unarr funnel on` (default: on, see config defaults)
# Just Works on a headless container with no first-run network round-trip.
RUN case "$TARGETARCH" in \
      amd64) CF_ARCH=amd64 ;; \
      arm64) CF_ARCH=arm64 ;; \
      arm)   CF_ARCH=armhf ;; \
      *)     echo "unsupported TARGETARCH=$TARGETARCH" >&2; exit 1 ;; \
    esac && \
    wget -4 --tries=3 --timeout=30 -qO /usr/local/bin/cloudflared "https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-$CF_ARCH" && \
    chmod +x /usr/local/bin/cloudflared

# Non-root user (UID 1000 matches typical host user for volume permissions)
RUN groupadd -g 1000 unarr && useradd -u 1000 -g 1000 -m -d /home/unarr unarr

# Default directories
RUN mkdir -p /config /downloads /data && \
    chown -R unarr:unarr /config /downloads /data

USER unarr

COPY --from=builder /unarr /usr/local/bin/unarr

# Environment: point config/data to container paths
ENV UNARR_CONFIG_DIR=/config
ENV UNARR_DOWNLOAD_DIR=/downloads
ENV XDG_DATA_HOME=/data

# NVIDIA passthrough defaults. `--gpus all` alone only grants the "utility" +
# "compute" capabilities; nvenc needs "video". Baking these here means a plain
# `docker run --gpus all` (or the compose device reservation) lights up HW
# transcode with zero extra flags. Harmless when no GPU is attached.
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES=video,compute,utility

VOLUME ["/config", "/downloads", "/data"]

ENTRYPOINT ["unarr"]
CMD ["start"]