test_that("deployments() returns a tibble", {
skip_if_offline()
x <- example_dataset()
expect_s3_class(deployments(x), "tbl")
})
test_that("deployments() returns the deployments", {
skip_if_offline()
x <- example_dataset()
expect_identical(deployments(x), x$data$deployments)
})
test_that("deployments()<- assigns a data frame (as tibble) as deployments", {
skip_if_offline()
x <- example_dataset()
df <- data.frame(
deploymentStart = 1:3,
deploymentEnd = 1:3,
latitude = 1:3,
longitude = 1:3)
deployments(x) <- df
expect_identical(deployments(x), dplyr::as_tibble(df))
expect_s3_class(deployments(x), "tbl")
})
test_that("deployments()<- returns error when value is not a data frame", {
skip_if_offline()
x <- example_dataset()
expect_error(
deployments(x) <- "not_a_data_frame",
class = "camtrapdp_error_assignment_wrong_class"
)
})
test_that("deployments<-() updates spatial and temporal scope in metadata", {
skip_if_offline()
x <- example_dataset()
deployments(x) <- data.frame(
deploymentID = "00a2c20d",
latitude = 51.496,
longitude = 4.774,
deploymentStart = as.POSIXct("2020-05-30 02:57:37 UTC", tz = "UTC"),
deploymentEnd = as.POSIXct("2020-07-01 09:41:41 UTC", tz = "UTC")
)
expected_spatial <- list(
type = "Polygon",
coordinates = array(
c(
4.774, 4.774, 4.774, 4.774, 4.774,
51.496, 51.496, 51.496, 51.496, 51.496
),
dim = c(1, 5, 2)
)
)
expect_identical(x$spatial, expected_spatial)
expect_identical(x$temporal$start, "2020-05-30")
expect_identical(x$temporal$end, "2020-07-01")
})
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