Completed working test suite and added CI

This commit is contained in:
pegeler 2018-06-28 17:20:14 -04:00
parent 0aed5bb118
commit a0a482abef
10 changed files with 153 additions and 55 deletions

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@ -1,2 +1,4 @@
^.*\.Rproj$ ^.*\.Rproj$
^\.Rproj\.user$ ^\.Rproj\.user$
^\.travis\.yml$
^appveyor\.yml$

5
R/.travis.yml Normal file
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# R for travis: see documentation at https://docs.travis-ci.com/user/languages/r
language: R
sudo: false
cache: packages

45
R/appveyor.yml Normal file
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# DO NOT CHANGE the "init" and "install" sections below
# Download script file from GitHub
init:
ps: |
$ErrorActionPreference = "Stop"
Invoke-WebRequest http://raw.github.com/krlmlr/r-appveyor/master/scripts/appveyor-tool.ps1 -OutFile "..\appveyor-tool.ps1"
Import-Module '..\appveyor-tool.ps1'
install:
ps: Bootstrap
cache:
- C:\RLibrary
# Adapt as necessary starting from here
build_script:
- travis-tool.sh install_deps
test_script:
- travis-tool.sh run_tests
on_failure:
- 7z a failure.zip *.Rcheck\*
- appveyor PushArtifact failure.zip
artifacts:
- path: '*.Rcheck\**\*.log'
name: Logs
- path: '*.Rcheck\**\*.out'
name: Logs
- path: '*.Rcheck\**\*.fail'
name: Logs
- path: '*.Rcheck\**\*.Rout'
name: Logs
- path: '\*_*.tar.gz'
name: Bits
- path: '\*_*.zip'
name: Bits

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# Setup -------------------------------------------------------------------
devtools::load_all()
library(digest)
library(magrittr)
library(jsonlite)
ref_data_location <- function(x) file.path("tests","testthat","data", x)
# RCurl -------------------------------------------------------------------
REDCap_split(
ref_data_location("ExampleProject_records.json") %>% fromJSON,
ref_data_location("ExampleProject_metadata.json") %>% fromJSON
) %>% digest
# Basic CSV ---------------------------------------------------------------
REDCap_split(
ref_data_location("ExampleProject_DATA_2018-06-07_1129.csv") %>% read.csv,
ref_data_location("ExampleProject_DataDictionary_2018-06-07.csv") %>% read.csv
) %>% digest
# REDCap R Export ---------------------------------------------------------
source("tests/testthat/helper-ExampleProject_R_2018-06-07_1129.r")
REDCap_split(
ref_data_location("ExampleProject_DATA_2018-06-07_1129.csv") %>%
read.csv %>%
REDCap_process_csv,
ref_data_location("ExampleProject_DataDictionary_2018-06-07.csv") %>% read.csv
) %>% digest
# Longitudinal data from @pbchase; Issue #7 ------------------------------- # Longitudinal data from @pbchase; Issue #7 -------------------------------
# Something will go here. file_paths <- sapply(
c(
records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv",
metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv"
), ref_data_location
)
redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE)
redcap[["metadata"]] <- with(redcap, metadata[metadata[,1] > "",])
with(redcap, REDCap_split(records, metadata)) %>% digest

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REDCap_process_csv <- function(data) { REDCap_process_csv <- function(data) {
#Load Hmisc library #Load Hmisc library
if (!require(Hmisc)) if (!requireNamespace("Hmisc", quietly = TRUE)) {
stop("This test requires the 'Hmisc' package") stop("This test requires the 'Hmisc' package")
}
label(data$row)="Name" Hmisc::label(data$row)="Name"
label(data$redcap_repeat_instrument)="Repeat Instrument" Hmisc::label(data$redcap_repeat_instrument)="Repeat Instrument"
label(data$redcap_repeat_instance)="Repeat Instance" Hmisc::label(data$redcap_repeat_instance)="Repeat Instance"
label(data$mpg)="Miles/(US) gallon" Hmisc::label(data$mpg)="Miles/(US) gallon"
label(data$cyl)="Number of cylinders" Hmisc::label(data$cyl)="Number of cylinders"
label(data$disp)="Displacement" Hmisc::label(data$disp)="Displacement"
label(data$hp)="Gross horsepower" Hmisc::label(data$hp)="Gross horsepower"
label(data$drat)="Rear axle ratio" Hmisc::label(data$drat)="Rear axle ratio"
label(data$wt)="Weight" Hmisc::label(data$wt)="Weight"
label(data$qsec)="1/4 mile time" Hmisc::label(data$qsec)="1/4 mile time"
label(data$vs)="V engine?" Hmisc::label(data$vs)="V engine?"
label(data$am)="Transmission" Hmisc::label(data$am)="Transmission"
label(data$gear)="Number of forward gears" Hmisc::label(data$gear)="Number of forward gears"
label(data$carb)="Number of carburetors" Hmisc::label(data$carb)="Number of carburetors"
label(data$color_available___red)="Colors Available (choice=Red)" Hmisc::label(data$color_available___red)="Colors Available (choice=Red)"
label(data$color_available___green)="Colors Available (choice=Green)" Hmisc::label(data$color_available___green)="Colors Available (choice=Green)"
label(data$color_available___blue)="Colors Available (choice=Blue)" Hmisc::label(data$color_available___blue)="Colors Available (choice=Blue)"
label(data$color_available___black)="Colors Available (choice=Black)" Hmisc::label(data$color_available___black)="Colors Available (choice=Black)"
label(data$motor_trend_cars_complete)="Complete?" Hmisc::label(data$motor_trend_cars_complete)="Complete?"
label(data$letter_group___a)="Which group? (choice=A)" Hmisc::label(data$letter_group___a)="Which group? (choice=A)"
label(data$letter_group___b)="Which group? (choice=B)" Hmisc::label(data$letter_group___b)="Which group? (choice=B)"
label(data$letter_group___c)="Which group? (choice=C)" Hmisc::label(data$letter_group___c)="Which group? (choice=C)"
label(data$choice)="Choose one" Hmisc::label(data$choice)="Choose one"
label(data$grouping_complete)="Complete?" Hmisc::label(data$grouping_complete)="Complete?"
label(data$price)="Sale price" Hmisc::label(data$price)="Sale price"
label(data$color)="Color" Hmisc::label(data$color)="Color"
label(data$customer)="Customer Name" Hmisc::label(data$customer)="Customer Name"
label(data$sale_complete)="Complete?" Hmisc::label(data$sale_complete)="Complete?"
#Setting Units #Setting Units

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# get_data_location <- function(x) {
# system.file(
# "testdata",
# x,
# package = "REDCapRITS"
# )
# }
get_data_location <- function(x) file.path("data", x)

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@ -1,22 +1,16 @@
context("Reading in JSON") context("Reading in JSON")
# Set up the path ----------------------------------------------------------
data_dir <- system.file("tests", "testthat", "data", package = "REDCapRITS")
# Check the RCurl export --------------------------------------------------- # Check the RCurl export ---------------------------------------------------
test_that("JSON character vector from RCurl matches reference", { test_that("JSON character vector from RCurl matches reference", {
metadata <- jsonlite::fromJSON( metadata <- jsonlite::fromJSON(
file.path( get_data_location(
data_dir,
"ExampleProject_metadata.json" "ExampleProject_metadata.json"
) )
) )
records <- jsonlite::fromJSON( records <- jsonlite::fromJSON(
file.path( get_data_location(
data_dir,
"ExampleProject_records.json" "ExampleProject_records.json"
) )
) )

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@ -1,19 +1,14 @@
context("CSV Exports") context("CSV Exports")
# Set up the path and data ------------------------------------------------- # Set up the path and data -------------------------------------------------
data_dir <- system.file("tests", "testthat", "data", package = "REDCapRITS")
metadata <- read.csv( metadata <- read.csv(
file.path( get_data_location(
data_dir,
"ExampleProject_DataDictionary_2018-06-07.csv" "ExampleProject_DataDictionary_2018-06-07.csv"
) )
) )
records <- read.csv( records <- read.csv(
file.path( get_data_location(
data_dir,
"ExampleProject_DATA_2018-06-07_1129.csv" "ExampleProject_DATA_2018-06-07_1129.csv"
) )
) )
@ -26,10 +21,11 @@ test_that("CSV export matches reference", {
}) })
# Test that R code enhanced CSV export matches reference -------------------- # Test that R code enhanced CSV export matches reference --------------------
test_that("R code enhanced export matches reference", { if (requireNamespace("Hmisc", quietly = TRUE)) {
source(file.path(data_dir, "ExampleProject_R_2018-06-07_1129.r")) test_that("R code enhanced export matches reference", {
redcap_output_csv2 <- REDCap_split(REDCap_process_csv(records), metadata)
redcap_output_csv2 <- REDCap_split(REDCap_process_csv(records), metadata) expect_known_hash(redcap_output_csv2, "34f82cab35bf8aae47d08cd96f743e6b")
})
}
expect_known_hash(redcap_output_csv2, "34f82cab35bf8aae47d08cd96f743e6b")
})

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@ -1,17 +1,14 @@
context("Longitudinal data") context("Longitudinal data")
test_that("CSV export matches reference", { test_that("CSV export matches reference", {
# Reading in the files file_paths <- sapply(
file_paths <- file.path(
system.file("tests", "testthat", "data", package = "REDCapRITS"),
c( c(
records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv", records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv",
metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv" metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv"
) ), get_data_location
) )
redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE) redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE)
names(redcap) <- c("records", "metadata")
redcap[["metadata"]] <- with(redcap, metadata[metadata[,1] > "",]) redcap[["metadata"]] <- with(redcap, metadata[metadata[,1] > "",])
redcap_output <- with(redcap, REDCap_split(records, metadata)) redcap_output <- with(redcap, REDCap_split(records, metadata))

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@ -157,6 +157,9 @@ welcome your contributions!
## Instructions ## Instructions
### R ### R
[![Travis-CI Build Status](https://travis-ci.org/SpectrumHealthResearch/REDCapRITS.svg?branch=master)](https://travis-ci.org/SpectrumHealthResearch/REDCapRITS)
[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/SpectrumHealthResearch/REDCapRITS?branch=master&svg=true)](https://ci.appveyor.com/project/SpectrumHealthResearch/REDCapRITS)
#### Installation #### Installation
First you must install the package. To do so, execute the following in your R console: First you must install the package. To do so, execute the following in your R console: