docklearn

The goal of docklearn is to deploy shiny_prerendered rmd from R packages and/or docker

As an R package

install the packages

remotes::install_github("vincentguyader/docklearn")

launch function

docklearn::run_app()

Using Docker

from the package source ( for example using the Rsutio project)

build the package

create "docklearn_*.tar.gz" file

devtools::build()

Create a Dockerfile

can be created using {golem} with golem::add_dockerfile() but, you have to edit the CMD to have docklearn::launch_learn(port=80,host='0.0.0.0')

FROM rocker/r-ver:3.5.1
RUN apt-get update && apt-get install -y  git-core libcurl4-openssl-dev libssl-dev libxml2-dev make pandoc pandoc-citeproc
RUN echo "options(repos = c(CRAN = 'https://cran.rstudio.com/'), download.file.method = 'libcurl')" >> /usr/local/lib/R/etc/Rprofile.site
RUN R -e 'install.packages("remotes")'
RUN R -e 'remotes::install_github("r-lib/remotes", ref = "97bbf81")'
RUN Rscript -e 'remotes::install_version("tidyverse", version = "1.2.1")'
RUN Rscript -e 'remotes::install_version("dplyr", version = "0.8.3")'
RUN Rscript -e 'remotes::install_github("rstudio/learnr@f10154a16b0e864d72c230cc765b50f636850c7c")'
RUN Rscript -e 'remotes::install_github("hadley/ggplot2@115c3960d0fd068f1ca4cfe4650c0e0474aabba5")'
RUN Rscript -e 'remotes::install_github("rstudio/rstudioapi@6e340b4aee92a061ac837f6af3d5fb7d445e0e58")'
COPY docklearn_*.tar.gz /app.tar.gz
RUN R -e 'remotes::install_local("/app.tar.gz")'
EXPOSE 3838
CMD  ["R", "-e", "docklearn::launch_learn(port=3838,host='0.0.0.0')"]

Be sure to put your docklearn_*.tar.gz file (generated using devtools::build() ) in the same folder as the Dockerfile file generated.

build a docker image

In the same folder, put together docklearn_*.tar.gz and the Dockerfile. from this folder using terminal launch :

docker build -t docklearn .

you can now use your container

docker run -p 80:80 docklearn

VincentGuyader/docklearn

README