# Runtime environment for modding/src/mdlp/ (the first-party Mod Definition
# Language Processor - see ../README.md): builds mdlp from source and runs it
# against modding/mods/ to produce modding/dist/mods/. Kept as its own image,
# separate from hacked-build-image/, because mod processing is expected to
# grow its own external tool dependencies (image/audio conversion, etc.)
# independent of hacked's own GTK/GLFW/mingw toolchain.
FROM ubuntu:22.04

# go.mod's own "go" directive is a minimum toolchain version, not a version to
# fetch - pin a stable release that already satisfies it so `go build` never
# needs to fetch a newer toolchain over the network at build time.
ARG GO_VERSION=1.27.1

# patch: applies src/hacked-patches/ to the scratch copy of hacked/ that
# process-mods.sh (and ../gen_animgallery.sh) stage before building against
# it - see stage-hacked.sh. python3/pip: runs the AI upscaler below via
# plain CPU inference (ONNX Runtime). Not a Vulkan-based tool: this image
# has no real GPU, and Vulkan software emulation (Mesa lavapipe) gives
# wrong colors for ML inference workloads.
RUN apt-get update \
    && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
        ca-certificates curl gosu patch python3 python3-pip \
    && rm -rf /var/lib/apt/lists/*
RUN pip3 install --no-cache-dir onnxruntime pillow numpy

# The AI upscaler model for mdlp's upscale mod type (see ../README.md
# section 4): RealESRGAN_x4plus_anime_6B, a 6-block RRDBNet ONNX-exported
# from xinntao/Real-ESRGAN's anime-illustration checkpoint (BSD-3-Clause).
# It's trained on flat-color line art, so it keeps hard sprite edges rather
# than smoothing them the way a photo- or video-denoising model would. A
# mod's own "model" field (upscaleDef in ../src/mdlp/upscale.go) is not
# consulted; every resource goes through this one model. upscale_batch.py
# resizes its fixed native 4x output down to whatever scale a mod actually
# asks for.
ARG UPSCALE_MODEL_URL=https://huggingface.co/skillsafe-ai/realesrgan-x4plus-anime-6b/resolve/main/model.onnx
RUN mkdir -p /opt/upscale-model \
    && curl -sSL -o /opt/upscale-model/model.onnx "$UPSCALE_MODEL_URL"
COPY mdlp-image/upscale_batch.py /usr/local/bin/upscale_batch.py
RUN chmod 755 /usr/local/bin/upscale_batch.py
ENV UPSCALE_MODEL_PATH=/opt/upscale-model/model.onnx

RUN curl -sSLO "https://go.dev/dl/go${GO_VERSION}.linux-amd64.tar.gz" \
    && tar -C /usr/local -xzf "go${GO_VERSION}.linux-amd64.tar.gz" \
    && rm "go${GO_VERSION}.linux-amd64.tar.gz"
ENV PATH=/usr/local/go/bin:${PATH}
ENV GOTOOLCHAIN=local
ENV GOPATH=/opt/go

# Populates /opt/go/pkg/mod with every dependency mdlp/go.mod pins, so the
# container never needs network access to build it. mdlp/go.mod replaces
# github.com/inkyblackness/hacked with the local ../hacked (see ../README.md),
# so that module's own go.mod/go.sum have to be present too for dependency
# resolution - only these two go.mod/go.sum pairs are copied in for this, not
# the rest of either source tree, so editing .go files doesn't invalidate
# this layer's cache.
COPY src/hacked/go.mod src/hacked/go.sum /tmp/mdlp-deps/hacked/
COPY src/mdlp/go.mod src/mdlp/go.sum /tmp/mdlp-deps/mdlp/
RUN cd /tmp/mdlp-deps/mdlp && go mod download && rm -rf /tmp/mdlp-deps

COPY mdlp-image/docker-entrypoint.sh /usr/local/bin/docker-entrypoint.sh
COPY mdlp-image/process-mods.sh /usr/local/bin/process-mods.sh
# 755, not +x: see hacked-build-image/Dockerfile's identical comment - the
# entrypoint drops to a `builder` user matching the host's UID/GID, which is
# never in these root-owned files' group.
RUN chmod 755 /usr/local/bin/docker-entrypoint.sh /usr/local/bin/process-mods.sh

WORKDIR /workspace/modding
ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"]
CMD ["/usr/local/bin/process-mods.sh"]

# Marks a shell as already running inside this image, same convention as
# hacked-build-image/Dockerfile - lets ../Makefile compile directly instead
# of trying to docker-run this image again from inside itself.
ENV MDLP_IMAGE=1