Completed working test suite and added CI

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

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@ -1,3 +1,49 @@
# 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 -------------------------------
# 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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@ -1,36 +1,37 @@
REDCap_process_csv <- function(data) {
#Load Hmisc library
if (!require(Hmisc))
if (!requireNamespace("Hmisc", quietly = TRUE)) {
stop("This test requires the 'Hmisc' package")
}
label(data$row)="Name"
label(data$redcap_repeat_instrument)="Repeat Instrument"
label(data$redcap_repeat_instance)="Repeat Instance"
label(data$mpg)="Miles/(US) gallon"
label(data$cyl)="Number of cylinders"
label(data$disp)="Displacement"
label(data$hp)="Gross horsepower"
label(data$drat)="Rear axle ratio"
label(data$wt)="Weight"
label(data$qsec)="1/4 mile time"
label(data$vs)="V engine?"
label(data$am)="Transmission"
label(data$gear)="Number of forward gears"
label(data$carb)="Number of carburetors"
label(data$color_available___red)="Colors Available (choice=Red)"
label(data$color_available___green)="Colors Available (choice=Green)"
label(data$color_available___blue)="Colors Available (choice=Blue)"
label(data$color_available___black)="Colors Available (choice=Black)"
label(data$motor_trend_cars_complete)="Complete?"
label(data$letter_group___a)="Which group? (choice=A)"
label(data$letter_group___b)="Which group? (choice=B)"
label(data$letter_group___c)="Which group? (choice=C)"
label(data$choice)="Choose one"
label(data$grouping_complete)="Complete?"
label(data$price)="Sale price"
label(data$color)="Color"
label(data$customer)="Customer Name"
label(data$sale_complete)="Complete?"
Hmisc::label(data$row)="Name"
Hmisc::label(data$redcap_repeat_instrument)="Repeat Instrument"
Hmisc::label(data$redcap_repeat_instance)="Repeat Instance"
Hmisc::label(data$mpg)="Miles/(US) gallon"
Hmisc::label(data$cyl)="Number of cylinders"
Hmisc::label(data$disp)="Displacement"
Hmisc::label(data$hp)="Gross horsepower"
Hmisc::label(data$drat)="Rear axle ratio"
Hmisc::label(data$wt)="Weight"
Hmisc::label(data$qsec)="1/4 mile time"
Hmisc::label(data$vs)="V engine?"
Hmisc::label(data$am)="Transmission"
Hmisc::label(data$gear)="Number of forward gears"
Hmisc::label(data$carb)="Number of carburetors"
Hmisc::label(data$color_available___red)="Colors Available (choice=Red)"
Hmisc::label(data$color_available___green)="Colors Available (choice=Green)"
Hmisc::label(data$color_available___blue)="Colors Available (choice=Blue)"
Hmisc::label(data$color_available___black)="Colors Available (choice=Black)"
Hmisc::label(data$motor_trend_cars_complete)="Complete?"
Hmisc::label(data$letter_group___a)="Which group? (choice=A)"
Hmisc::label(data$letter_group___b)="Which group? (choice=B)"
Hmisc::label(data$letter_group___c)="Which group? (choice=C)"
Hmisc::label(data$choice)="Choose one"
Hmisc::label(data$grouping_complete)="Complete?"
Hmisc::label(data$price)="Sale price"
Hmisc::label(data$color)="Color"
Hmisc::label(data$customer)="Customer Name"
Hmisc::label(data$sale_complete)="Complete?"
#Setting Units

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@ -0,0 +1,9 @@
# 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")
# Set up the path ----------------------------------------------------------
data_dir <- system.file("tests", "testthat", "data", package = "REDCapRITS")
# Check the RCurl export ---------------------------------------------------
test_that("JSON character vector from RCurl matches reference", {
metadata <- jsonlite::fromJSON(
file.path(
data_dir,
get_data_location(
"ExampleProject_metadata.json"
)
)
records <- jsonlite::fromJSON(
file.path(
data_dir,
get_data_location(
"ExampleProject_records.json"
)
)

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@ -1,19 +1,14 @@
context("CSV Exports")
# Set up the path and data -------------------------------------------------
data_dir <- system.file("tests", "testthat", "data", package = "REDCapRITS")
metadata <- read.csv(
file.path(
data_dir,
get_data_location(
"ExampleProject_DataDictionary_2018-06-07.csv"
)
)
records <- read.csv(
file.path(
data_dir,
get_data_location(
"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 export matches reference", {
source(file.path(data_dir, "ExampleProject_R_2018-06-07_1129.r"))
if (requireNamespace("Hmisc", quietly = TRUE)) {
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")
test_that("CSV export matches reference", {
# Reading in the files
file_paths <- file.path(
system.file("tests", "testthat", "data", package = "REDCapRITS"),
file_paths <- sapply(
c(
records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv",
metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv"
)
), get_data_location
)
redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE)
names(redcap) <- c("records", "metadata")
redcap[["metadata"]] <- with(redcap, metadata[metadata[,1] > "",])
redcap_output <- with(redcap, REDCap_split(records, metadata))