context("Check that computeFilaments behaves as expected")

#MOCK data; NOTE: could be in inst/testdata as well
getDataTest = function(n, shift)
{
	x = seq(0,10,0.1)
	L = length(x)
	s1 = cos(x)
	s2 = sin(x)
	s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
	#sum((s1-s2)^2) == 97.59381
	#sum((s1-s3)^2) == 57.03051
	#sum((s2-s3)^2) == 40.5633
	s = list( s1, s2, s3 )
	series = list()
	for (i in seq_len(n))
	{
		index = (i-1) %% 3 + 1 #map 1->1, 2->2, 3->3, 4->1, ..., 149->2, 150->3
		level = mean(s[[index]])
		serie = s[[index]] - level + rnorm(L,sd=0.01)
		# 10 series with NAs for index 2
		if (index == 2 && i >= 60 && i<= 90)
			serie[sample(seq_len(L),1)] = NA
		series[[i]] = list("level"=level,"serie"=serie) #no need for more
	}
	if (shift)
	{
		# Simulate shift at origin when predict_at > 0
		series[2:(n+1)] = series[1:n]
		series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
	}
	new("Data", data=series)
}

test_that("output is as expected on simulated series, predict_at == 0",
{
	data = getDataTest(150, shift=FALSE)

	# index 143 : serie type 2
	f = computeFilaments(data, 143, limit=60, plot=FALSE)
	# Expected output: 23 series of type 3 (closer), then 50-3-10 series of type 2, then index 143
	expect_identical(length(f$indices), as.integer(61)) #61 because result also contain "today"
	expect_identical(length(f$colors),  as.integer(61))
	for (i in 1:23)
	{
		expect_equal((f$indices[i]-1) %% 3 + 1, 3)
		expect_match(f$colors[i], f$colors[1])
	}
	for (i in 24:60)
	{
		expect_equal((f$indices[i]-1) %% 3 + 1, 2)
		expect_match(f$colors[i], f$colors[24])
	}
	expect_equal(f$indices[61], 143)
	expect_match(f$colors[61], "#FF0000") #special color: current day in red
	expect_match(f$colors[1], "#E*")
	expect_match(f$colors[24], "#1*")
})

test_that("output is as expected on simulated series, predict_at > 0",
{
	data = getDataTest(150, shift=TRUE)

	# index 142 : serie type 3
	f = computeFilaments(data, 142, limit=70, plot=FALSE)
	# Expected output: 24 series of type 2 (closer) then 50-4 series of type 3, then 142
	expect_identical(length(f$indices), as.integer(71))
	expect_identical(length(f$colors), as.integer(71))
	expect_true(all(f$indices >= 2)) #no type-1 neighbors
	for (i in 1:24)
	{
		# -1 + -1 because of the initial shift
		expect_equal((f$indices[i]-2) %% 3 + 1, 2)
		expect_match(f$colors[i], f$colors[1])
	}
	for (i in 25:70)
	{
		expect_equal((f$indices[i]-2) %% 3 + 1, 3)
		expect_match(f$colors[i], f$colors[25])
	}
	expect_equal(f$indices[71], 142)
	expect_match(f$colors[71], "#FF0000")
	expect_match(f$colors[1], "#E*")
	expect_match(f$colors[25], "#1*")
})

test_that("output is as expected on simulated series",
{
	data = getDataTest(150, shift=TRUE)

	# index 143 : serie type 1
	f = computeFilaments(data, 143, limit=60, plot=FALSE)
	# Expected output: 23 series of type 3 (closer), then 50-10-3 series of type 1, then 143
	# NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[
	expect_identical(length(f$indices), as.integer(61))
	expect_identical(length(f$colors), as.integer(61))
	expect_true(all(f$indices >= 2)) #first_day should be 2
	for (i in 1:23)
	{
		expect_equal(( (f$indices[i]-2) %% 3 ) + 1, 3)
		expect_match(f$colors[i], f$colors[1])
	}
	for (i in 24:60)
	{
		expect_equal(( (f$indices[i]-2) %% 3 ) + 1, 1)
		expect_match(f$colors[i], f$colors[24])
	}
	expect_equal(f$indices[61], 143)
	expect_match(f$colors[61], "#FF0000")
	expect_match(f$colors[1], "#E*")
	expect_match(f$colors[24], "#1*")
})