# GPU training image for ML model training Jobs
# Usage: docker build -f infra/docker/Dockerfile.training .
# Run:   docker run --gpus all foxhunt-training train_dqn [args...]

# =============================================================================
# Stage 1: Builder (CUDA dev image with Rust toolchain)
# =============================================================================
FROM nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04 AS builder

ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get update && apt-get install -y --no-install-recommends \
    curl \
    git \
    build-essential \
    pkg-config \
    libssl-dev \
    protobuf-compiler \
    perl \
    make \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/*

# Install Rust stable toolchain
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable
ENV PATH="/root/.cargo/bin:${PATH}"

WORKDIR /build

# Copy workspace manifests first for layer caching
COPY Cargo.toml Cargo.lock ./
COPY .sqlx ./.sqlx

# Copy all workspace crate directories
COPY trading_engine ./trading_engine
COPY risk ./risk
COPY risk-data ./risk-data
COPY trading-data ./trading-data
COPY fxt ./fxt
COPY ml ./ml
COPY ml-data ./ml-data
COPY data ./data
COPY backtesting ./backtesting
COPY adaptive-strategy ./adaptive-strategy
COPY common ./common
COPY storage ./storage
COPY model_loader ./model_loader
COPY market-data ./market-data
COPY database ./database
COPY config ./config
COPY web-gateway ./web-gateway
COPY ctrader-openapi ./ctrader-openapi
COPY foxhunt-deploy ./foxhunt-deploy
COPY services ./services
COPY tests ./tests

ENV SQLX_OFFLINE=true
ENV CUDA_COMPUTE_CAP=90

# Build all training example binaries with CUDA support
RUN cargo build --release -p ml --features ml/cuda \
    --example train_dqn \
    --example train_ppo_parquet \
    --example hyperopt_dqn_demo \
    --example hyperopt_ppo_demo \
    --example hyperopt_tft_demo \
    --example hyperopt_mamba2_demo \
    && mkdir -p /build/out \
    && for bin in train_dqn train_ppo_parquet hyperopt_dqn_demo hyperopt_ppo_demo hyperopt_tft_demo hyperopt_mamba2_demo; do \
        cp target/release/examples/${bin} /build/out/ && strip /build/out/${bin}; \
    done

# =============================================================================
# Stage 2: Runtime (CUDA runtime — no compiler, smaller image)
# =============================================================================
FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04

ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get update && apt-get install -y --no-install-recommends \
    ca-certificates \
    libssl3 \
    curl \
    && rm -rf /var/lib/apt/lists/*

RUN groupadd -g 1000 foxhunt \
    && useradd -u 1000 -g foxhunt -m -s /bin/false foxhunt

COPY --from=builder /build/out/* /usr/local/bin/

# CUDA runtime environment
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV CUDA_COMPUTE_CAP=90

USER foxhunt

WORKDIR /data

CMD ["echo", "Specify training command via K8s Job args"]