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
RUN pip install --no-cache-dir notebook ipykernel papermill

# Pre-install packages that the notebooks install via !pip install
# so papermill doesn't waste time or fail on them at runtime:
#   datacreation.ipynb:  beautifulsoup4 pandas matplotlib seaborn numpy textblob
#   pythonanalysis.ipynb: pandas matplotlib seaborn numpy textblob faker transformers vaderSentiment
# Most are already in requirements.txt; add the extras:
RUN pip install --no-cache-dir textblob faker transformers

# Python kernel (system-wide)
RUN python -m ipykernel install --sys-prefix --name python3 --display-name "Python 3"

# R kernel (system-wide, explicit name)
# RUN R -e "install.packages('IRkernel', repos='https://cloud.r-project.org/')"
# RUN R -e "IRkernel::installspec(user = FALSE, name = 'ir', displayname = 'R')"

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

# IRkernel for Jupyter / papermill, kernel name 'ir'
RUN R -e "install.packages('IRkernel', repos='https://cloud.r-project.org')"
RUN R -e "IRkernel::installspec(user = FALSE, name = 'ir', displayname = 'R')"

#RUN python -m ipykernel install --user --name python3 --display-name "Python 3"

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

EXPOSE 7860

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

RUN jupyter kernelspec list