context("Analysis")
test_that("sumTables", {
x <- c(1, 3, 3, 3, 3, 4, 7)
y <- c(2, 2, 2, 2, 4)
z <- c(7, 1, 5, 5, 5)
tbls <- list(table(x), table(y), table(z))
expect_equal(sumTables(tbls), table(c(x, y, z)))
})
test_that("analyzeELB reads and binds if returning data.frame", {
df <- analyzeELB(function (x) dplyr::select(x, received_bytes, user_agent))
expect_identical(dim(df), c(97L + 146L, 2L))
})
test_that("analyzeELB can return the full data.frame", {
df <- analyzeELB(force, select_vars=FALSE)
expect_identical(dim(df), c(97L + 146L, 15L))
})
test_that("analyzeELB function mapping", {
expect_equal(analyzeELB(function (df) {
list(
n=nrow(df),
status_table=table(df$elb_status_code),
response_size_max=max(df$sent_bytes)#,
# TODO: mean() needs to be smarter about NAs
#response_time_mean=mean(df$request_processing_time + df$backend_processing_time + df$response_processing_time, na.rm=TRUE)
)
}),
list(
n=97L + 146L,
status_table=structure(
c(230L, 1L, 4L, 2L, 3L, 2L, 1L),
.Dim = 7L,
.Dimnames = structure(
list(c("200", "201", "204", "301", "304", "404", "504")),
.Names = ""
),
class = "table"
),
response_size_max=58637L#,
#response_time_mean=0.05812746
),
tolerance=0.000001
)
})
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