Nothing
library(testthat)
update_expectation <- FALSE
test_that("Smoke Test", {
testthat::skip_on_cran()
skip_if_onlyread()
suppressMessages({ # Multiple messages are thrown, but now testthat::expect_message catches only one.
start_clean_result <-
REDCapR:::clean_start_simple(
batch = FALSE,
verbose = TRUE
)
})
project <- start_clean_result$redcap_project
})
test_that("default", {
testthat::skip_on_cran()
skip_if_onlyread()
path_expected <- "test-data/specific-redcapr/write-oneshot/default.R"
start_clean_result <- REDCapR:::clean_start_simple(batch=FALSE)
project <- start_clean_result$redcap_project
expected_outcome_message <- "\\d+ records and \\d+ columns were read from REDCap in \\d+(\\.\\d+\\W|\\W)seconds\\."
expect_message(
returned_object <- redcap_read_oneshot(redcap_uri=project$redcap_uri, token=project$token, raw_or_label="raw"),
regexp = expected_outcome_message
)
#Remove the calculated fields
returned_object$data$bmi <- NULL
returned_object$data$age <- NULL
if (update_expectation) save_expected(returned_object$data, path_expected)
expected_data_frame <- retrieve_expected(path_expected)
expect_equal(returned_object$data, expected=expected_data_frame, label="The returned data.frame should be correct", ignore_attr = TRUE) #returned_object$data$bmi<-NULL; returned_object$data$age<-NULL;dput(returned_object$data)
expect_equal(returned_object$status_code, expected=200L)
expect_equal(returned_object$raw_text, expected="", ignore_attr = TRUE) # dput(returned_object$raw_text)
expect_true(returned_object$records_collapsed=="", "A subset of records was not requested.")
expect_true(returned_object$fields_collapsed=="", "A subset of fields was not requested.")
expect_match(returned_object$outcome_message, regexp=expected_outcome_message, perl=TRUE)
expect_true(returned_object$success)
})
test_that("one-field", {
testthat::skip_on_cran()
skip_if_onlyread()
path_expected <- "test-data/specific-redcapr/write-oneshot/one-field.R"
expected_outcome_message <- "\\d+ records and \\d+ columns were read from REDCap in \\d+(\\.\\d+\\W|\\W)seconds\\."
start_clean_result <-
REDCapR:::clean_start_simple(
batch = FALSE,
verbose = FALSE
)
project <- start_clean_result$redcap_project
returned_object1 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object1$data$bmi <- NULL
returned_object1$data$age <- NULL
#Change some values
returned_object1$data$address <- 1000 + seq_len(nrow(returned_object1$data))
REDCapR::redcap_write_oneshot(
ds = returned_object1$data,
redcap_uri = project$redcap_uri,
token = project$token,
verbose = FALSE
)
returned_object2 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object2$data$bmi <- NULL
returned_object2$data$age <- NULL
if (update_expectation) save_expected(returned_object2$data, path_expected)
expected_data_frame <- retrieve_expected(path_expected)
expect_equal(returned_object2$data, expected=expected_data_frame, label="The returned data.frame should be correct", ignore_attr = TRUE) #returned_object2$data$bmi<-NULL; returned_object2$data$age<-NULL;dput(returned_object2$data)
expect_equal(returned_object2$status_code, expected=200L)
expect_equal(returned_object2$raw_text, expected="", ignore_attr = TRUE) # dput(returned_object2$raw_text)
expect_true(returned_object2$records_collapsed=="", "A subset of records was not requested.")
expect_true(returned_object2$fields_collapsed=="", "A subset of fields was not requested.")
expect_match(returned_object2$outcome_message, regexp=expected_outcome_message, perl=TRUE)
expect_true(returned_object2$success)
})
test_that("two-fields", {
testthat::skip_on_cran()
skip_if_onlyread()
path_expected <- "test-data/specific-redcapr/write-oneshot/two-fields.R"
start_clean_result <- REDCapR:::clean_start_simple(batch=FALSE)
project <- start_clean_result$redcap_project
expected_outcome_message <- "\\d+ records and \\d+ columns were read from REDCap in \\d+(\\.\\d+\\W|\\W)seconds\\."
returned_object1 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object1$data$bmi <- NULL
returned_object1$data$age <- NULL
#Change some values
returned_object1$data$address <- 1000 + seq_len(nrow(returned_object1$data))
returned_object1$data$telephone <- sprintf("(405) 321-%1$i%1$i%1$i%1$i", seq_len(nrow(returned_object1$data)))
REDCapR::redcap_write_oneshot(
ds = returned_object1$data,
redcap_uri = project$redcap_uri,
token = project$token,
verbose = FALSE
)
returned_object2 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object2$data$bmi <- NULL
returned_object2$data$age <- NULL
if (update_expectation) save_expected(returned_object2$data, path_expected)
expected_data_frame <- retrieve_expected(path_expected)
expect_equal(returned_object2$data, expected=expected_data_frame, label="The returned data.frame should be correct", ignore_attr = TRUE) #returned_object2$data$bmi<-NULL; returned_object2$data$age<-NULL;dput(returned_object2$data)
expect_equal(returned_object2$status_code, expected=200L)
expect_equal(returned_object2$raw_text, expected="", ignore_attr = TRUE) # dput(returned_object2$raw_text)
expect_true(returned_object2$records_collapsed=="", "A subset of records was not requested.")
expect_true(returned_object2$fields_collapsed=="", "A subset of fields was not requested.")
expect_match(returned_object2$outcome_message, regexp=expected_outcome_message, perl=TRUE)
expect_true(returned_object2$success)
})
test_that("overwrite-false", {
testthat::skip_on_cran()
skip_if_onlyread()
path_expected <- "test-data/specific-redcapr/write-oneshot/default.R"
expected_outcome_message <- "\\d+ records and \\d+ columns were read from REDCap in \\d+(\\.\\d+\\W|\\W)seconds\\."
start_clean_result <-
REDCapR:::clean_start_simple(
batch = FALSE,
verbose = FALSE
)
project <- start_clean_result$redcap_project
returned_object1 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object1$data$bmi <- NULL
returned_object1$data$age <- NULL
# Blanks and NAs should NOT overwrite the cells
returned_object1$data$address <- NA_character_
returned_object1$data$telephone <- ""
REDCapR::redcap_write_oneshot(
ds = returned_object1$data,
redcap_uri = project$redcap_uri,
token = project$token,
overwrite_with_blanks = FALSE,
verbose = FALSE
)
returned_object2 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object2$data$bmi <- NULL
returned_object2$data$age <- NULL
# Nothing should have changed, so reuse the default datasets
expected_data_frame <- retrieve_expected(path_expected)
expect_equal(returned_object2$data, expected=expected_data_frame, label="The returned data.frame should be correct", ignore_attr = TRUE) #returned_object2$data$bmi<-NULL; returned_object2$data$age<-NULL;dput(returned_object2$data)
expect_equal(returned_object2$status_code, expected=200L)
expect_equal(returned_object2$raw_text, expected="", ignore_attr = TRUE) # dput(returned_object2$raw_text)
expect_true(returned_object2$records_collapsed=="", "A subset of records was not requested.")
expect_true(returned_object2$fields_collapsed=="", "A subset of fields was not requested.")
expect_match(returned_object2$outcome_message, regexp=expected_outcome_message, perl=TRUE)
expect_true(returned_object2$success)
})
test_that("overwrite-true", {
testthat::skip_on_cran()
skip_if_onlyread()
path_expected <- "test-data/specific-redcapr/write-oneshot/overwrite-true.R"
expected_outcome_message <- "\\d+ records and \\d+ columns were read from REDCap in \\d+(\\.\\d+\\W|\\W)seconds\\."
start_clean_result <-
REDCapR:::clean_start_simple(
batch = FALSE,
verbose = FALSE
)
project <- start_clean_result$redcap_project
returned_object1 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object1$data$bmi <- NULL
returned_object1$data$age <- NULL
# Blanks and NAs should NOT overwrite the cells
returned_object1$data$address <- NA_character_
returned_object1$data$telephone <- ""
REDCapR::redcap_write_oneshot(
ds = returned_object1$data,
redcap_uri = project$redcap_uri,
token = project$token,
overwrite_with_blanks = TRUE,
verbose = FALSE
)
returned_object2 <-
redcap_read_oneshot(
redcap_uri = project$redcap_uri,
token = project$token,
raw_or_label = "raw",
verbose = FALSE
)
#Remove the calculated fields
returned_object2$data$bmi <- NULL
returned_object2$data$age <- NULL
if (update_expectation) save_expected(returned_object2$data, path_expected)
expected_data_frame <- retrieve_expected(path_expected)
expect_equal(returned_object2$data, expected=expected_data_frame, label="The returned data.frame should be correct", ignore_attr = TRUE) #returned_object2$data$bmi<-NULL; returned_object2$data$age<-NULL;dput(returned_object2$data)
expect_equal(returned_object2$status_code, expected=200L)
expect_equal(returned_object2$raw_text, expected="", ignore_attr = TRUE) # dput(returned_object2$raw_text)
expect_true(returned_object2$records_collapsed=="", "A subset of records was not requested.")
expect_true(returned_object2$fields_collapsed=="", "A subset of fields was not requested.")
expect_match(returned_object2$outcome_message, regexp=expected_outcome_message, perl=TRUE)
expect_true(returned_object2$success)
})
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