Dockerfile

FROM python:3.10-slim

ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

ENV GRADIO_SERVER_NAME=0.0.0.0
ENV GRADIO_SERVER_PORT=7860

# System deps: R + compilers + common R pkg build deps
RUN apt-get update && apt-get install -y --no-install-recommends \
    r-base \
    r-base-dev \
    build-essential \
    curl \
    git \
    libcurl4-openssl-dev \
    libssl-dev \
    libxml2-dev \
    && rm -rf /var/lib/apt/lists/*

# Install required R packages
RUN R -e "install.packages(c('forecast','ggplot2','jsonlite','readr','dplyr','tidyr','stringr','lubridate','broom'), repos='https://cloud.r-project.org')"

WORKDIR /app
COPY . /app

# Python deps (from requirements.txt)
RUN pip install --no-cache-dir -r requirements.txt

# Notebook execution deps (papermill + jupyter stack)
RUN pip install --no-cache-dir \
    notebook \
    papermill \
    ipykernel \
    nbclient \
    nbformat \
    jupyter_client

# Pre-install packages notebooks might install at runtime
RUN pip install --no-cache-dir textblob faker transformers

# ✅ Register Python kernel in the environment Jupyter uses
RUN python -m ipykernel install --sys-prefix --name python3 --display-name "Python 3"

# ✅ R deps for notebook execution via papermill (IRkernel) with explicit name "ir"
RUN R -e "install.packages('IRkernel', repos='https://cloud.r-project.org/')"
RUN R -e "IRkernel::installspec(name='ir', displayname='R (IRkernel)', user=FALSE)"

# (Optional but useful) show installed kernels during build
RUN jupyter kernelspec list

EXPOSE 7860
CMD ["python", "app.py"]