context("Check that computeFilaments behaves as expected")

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%%3) + 1
		level = mean(s[[index]])
		serie = s[[index]] - level + rnorm(L,sd=0.05)
		# 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",
{
	data = getDataTest(150, FALSE)

	# index 142 : serie type 2
	f = computeFilaments(data, 142, limit=60, plot=FALSE)
	# Expected output: 22 series of type 3 (closer), then 50-2-10 series of type 2
	expect_identical(length(f$indices), 60)
	expect_identical(length(f$colors), 60)
	for (i in 1:22)
	{
		expect_identical((f$indices[i] %% 3) + 1, 3)
		expect_match(f2$colors[i], f$colors[1])
	}
	for (i in 23:60)
	{
		expect_identical((f$indices[i] %% 3) + 1, 2)
		expect_match(f2$colors[i], f$colors[23])
	}
	expect_match(colors[1], "...")
	expect_match(colors[23], "...")
})

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

	# index 143 : serie type 3
	f = computeFilaments(data, 143, limit=70, plot=FALSE)
	# Expected output: 22 series of type 2 (closer) then 50-2 series of type 3
	expect_identical(length(f$indices), 70)
	expect_identical(length(f$colors), 70)
	for (i in 1:22)
	{
		# -1 because of the initial shift
		expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 2)
		expect_match(f$colors[i], f$colors[1])
	}
	for (i in 23:70)
	{
		expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 3)
		expect_match(f$colors[i], f$colors[23])
	}
	expect_match(colors[1], "...")
	expect_match(colors[23], "...")
})

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

	# index 144 : serie type 1
	f = computeFilaments(data, 144, limit=50, plot=FALSE)
	# Expected output: 2 series of type 3 (closer), then 50-2 series of type 1
	expect_identical(length(f$indices), 50)
	expect_identical(length(f$colors), 50)
	for (i in 1:2)
	{
		# -1 because of the initial shift
		expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 3)
		expect_match(f$colors[i], f$colors[1])
	}
	for (i in 3:50)
	{
		expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 1)
		expect_match(f$colors[i], f$colors[3])
	}
	expect_match(colors[1], "...")
	expect_match(colors[3], "...")
})