# syntax = docker/dockerfile:1.2

FROM continuumio/miniconda3:24.1.2-0

# install os dependencies including xauth for xvfb
RUN mkdir -p /usr/share/man/man1
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
    ca-certificates \
    curl \
    vim \
    sudo \
    default-jre \
    git \
    gcc \
    build-essential \
    wget \
    xvfb \
    xauth \
    && rm -rf /var/lib/apt/lists/*

RUN conda install python=3.8.13 -y

# Install Python and model dependencies
RUN pip install openmim
RUN pip install torch==2.0.0
RUN mim install mmcv-full==1.7.0
RUN pip install mmdet==2.27.0
RUN pip install torchserve
RUN pip install mmpose==0.29.0
RUN pip install torchvision==0.15.1
RUN pip install numpy==1.24.4 scikit-image scipy opencv-python requests pyyaml flask glfw PyOpenGL Pillow shapely tqdm

# bugfix for xtcocoapi, a dependency of mmpose
RUN git clone https://github.com/jin-s13/xtcocoapi.git
WORKDIR xtcocoapi
RUN pip install -r requirements.txt
RUN python setup.py install
WORKDIR /

# prep torchserve
RUN mkdir -p /home/torchserve/model-store
RUN wget https://github.com/facebookresearch/AnimatedDrawings/releases/download/v0.0.1/drawn_humanoid_detector.mar -P /home/torchserve/model-store/
RUN wget https://github.com/facebookresearch/AnimatedDrawings/releases/download/v0.0.1/drawn_humanoid_pose_estimator.mar -P /home/torchserve/model-store/
COPY config.properties /home/torchserve/config.properties

# Create a non-root user with UID 1000
RUN adduser --disabled-password --gecos '' --uid 1000 appuser

WORKDIR /app
COPY setup.py /app/setup.py
COPY animated_drawings /app/animated_drawings
COPY app.py /app/app.py
COPY examples /app/examples

RUN pip install -e .

# Pre-create directories and set permissions
RUN mkdir -p uploads_gradio outputs_gradio flagged && \
    chown -R appuser:appuser /app

USER appuser

EXPOSE 7860

# Start TorchServe, warm-up models, then run the app.
# Using xvfb-run for headless rendering.
CMD sh -c "\
    torchserve --start --ncs --ts-config /home/torchserve/config.properties && \
    sleep 15 && \
    # Warm-up requests with a small test image to load models into memory.
    curl -X POST http://localhost:8080/predictions/drawn_humanoid_detector -F image=@/app/examples/test.png && \
    curl -X POST http://localhost:8080/predictions/drawn_humanoid_pose_estimator -F image=@/app/examples/test.png && \
    xvfb-run -a python app.py \
"