R Microservice

This microservice is part of the microservice pipline in inseri. The service provides the possibility to use/create R code, use it to transform a response received by an API call into the needed data structure and pass the result to another inseri app.

Run and Develop Locally

Dependencies

• Python 3
• R

Install and Run

1. Create a virtual environment
2. Activate your created virtual environment
3. pip3 install -r requirements.txt
4. Run with python3 r-task.py
5. Go to http://localhost:50002

Run with Docker

1. Build the image: [sudo] docker build -t nieine/microservice-r-task .
2. Run the container: [sudo] docker run -p 50002:50002 nieine/microservice-r-task
3. Go to http://localhost:50002

Call the Service in a RESTful Way

If the service is running, you can POST a body with JSON data from any application.

Body:

{
	"datafile": "[The name of the JSON file]",
	"data": "[The content of the JSON file]",
	"codefile": "[The name of the R file]",
	"code": "[The content of the R file]"
}

Response:

{
	"output": "...", 
}

E.g.:

{
  "datafile": "yourData.json",
  "data": "{\n    \"message\": \"Hello World!\"\n}\n",
  "codefile": "yourCode.R",
  "code": "suppressMessages(library(\"jsonlite\"))\n\nreadJson <- function(inputFile) {\n    json <- fromJSON(inputFile)\n    dataFrame <- as.data.frame(json)\n    return(as.character(dataFrame$message))\n}\n\nreadJson(\"yourData.json\")\n"
}

{
	"output": "Hello World!"
}

Publish on Dockerhub

1. Build the image: [sudo] docker build -t nieine/microservice-r-task:YYYY-MM-DD .
2. Push the image: [sudo] docker push nieine/microservice-r-task:YYYY-MM-DD

R Packages

Currently, the below-listed R packages are installed. To add more packages, re-build the Docker image after adding the package to the Dockerfile as follows:

RUN R -e 'install.packages("zoo", repos = "http://cran.rstudio.com/")'

Installed Packages

• data.table
• ggivs
• ggmap
• graphics
• htmlwidgets
  • diagrammeR
  • DT
  • dygraphs
  • leaflet
  • network3D
  • threeJS
• jsonlite
• lubridate
• maps
• maps
• maptools
• ngram
• quantmod
• rjson
• sp
• tidyverse
  • dplyr
  • forcats
  • ggplot2
  • purrr
  • readr
  • stringr
  • tibble
  • tidyr
• XML
• xtable
• xts
• zoo