context("Check that forecasters behave as expected")

ts_data = system.file("testdata","ts_test.csv",package="talweg")
exo_data = system.file("testdata","exo_test.csv",package="talweg")
data00 <<- getData(ts_data, exo_data, input_tz="GMT", date_format="%Y-%m-%d %H:%M",
	working_tz="GMT", predict_at=0, limit=Inf)
data13 <<- getData(ts_data, exo_data, input_tz="GMT", date_format="%Y-%m-%d %H:%M",
	working_tz="GMT", predict_at=13, limit=Inf)
#Forecast at sunday to saturday (series 7 to 1), for monday to sunday (series 1 to 7)
indices <<- seq(as.Date("2007-04-01"),as.Date("2007-04-07"),"days")
pred_order = c(7,1:6) #will facilitate tests

test_that("Average method behave as expected",
{
	pred00_z = computeForecast(data00, indices, "Average", "Zero",        Inf, 24)
	pred00_p = computeForecast(data00, indices, "Average", "Persistence", Inf, 24)
	for (i in 1:7)
	{
		#zero jump: should predict true values minus 1
		expect_equal( pred00_z$getSerie(i), rep(pred_order[i],24) )
		#persistence jump == 1: should predict true values
		expect_equal( pred00_p$getSerie(i), rep(i,24) )
	}

	#NOTE: days become
	#1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 (14h-->0h then 1h-->13h)
	#No jump between days, thus zero and persistence are equivalent (and correct)
	pred13_z = computeForecast(data13, indices, "Average", "Zero",        Inf, 24)
	pred13_p = computeForecast(data13, indices, "Average", "Persistence", Inf, 24)
	for (i in 1:7)
	{
		expect_equal( pred13_z$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )
		expect_equal( pred13_p$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )
	}

	#A few extra checks
	expect_equal( pred00_p$getIndexInData(2), dateIndexToInteger("2007-04-02",data00) )
	expect_equal( pred00_z$getIndexInData(2), dateIndexToInteger("2007-04-02",data00) )
	expect_equal( pred13_p$getIndexInData(5), dateIndexToInteger("2007-04-05",data13) )
	expect_equal( pred13_z$getIndexInData(5), dateIndexToInteger("2007-04-05",data13) )
})

test_that("Persistence method behave as expected",
{
	#Situation A: +Zero; (generally) correct if jump, wrong otherwise
	pred00_sd = computeForecast(data00, indices, "Persistence", "Zero", Inf, 24, same_day=TRUE)
	pred00_dd = computeForecast(data00, indices, "Persistence", "Zero", Inf, 24, same_day=FALSE)
	for (i in 1:7)
	{
		expect_equal(pred00_sd$getSerie(i), rep(pred_order[i],24))
		expect_equal(pred00_dd$getSerie(i), rep(pred_order[i],24))
	}

	pred13_sd = computeForecast(data13, indices, "Persistence", "Zero", Inf, 24, same_day=TRUE)
	pred13_dd = computeForecast(data13, indices, "Persistence", "Zero", Inf, 24, same_day=FALSE)
	for (i in 2:6)
	{
		expect_equal(pred13_sd$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )
		expect_equal(pred13_dd$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )
	}
	#boundaries are special cases: OK if same day, quite wrong otherwise
	expect_equal(pred13_sd$getSerie(1), c( rep(1,11), rep(2,13) ) )
	expect_equal(pred13_dd$getSerie(1), c( rep(1,11), rep(-5,13) ) )
	expect_equal(pred13_sd$getSerie(7), c( rep(7,11), rep(1,13) ) )
	expect_equal(pred13_dd$getSerie(7), c( rep(7,11), rep(8,13) ) )

	#Situation B: +Persistence, (generally) correct
	pred00_sd = computeForecast(data00, indices, "Persistence", "Persistence", Inf, 24,
		same_day=TRUE)
	pred00_dd = computeForecast(data00, indices, "Persistence", "Persistence", Inf, 24,
		same_day=FALSE)
	for (i in 3:7)
	{
		expect_equal(pred00_sd$getSerie(i), rep(i,24))
		expect_equal(pred00_dd$getSerie(i), rep(i,24))
	}
	#boundaries are special cases: OK if same day, quite wrong otherwise
	expect_equal(pred00_sd$getSerie(1), rep(1,24) )
	expect_equal(pred00_dd$getSerie(1), rep(8,24) )
	expect_equal(pred00_sd$getSerie(2), rep(2,24) )
	expect_equal(pred00_dd$getSerie(2), rep(-5,24) )

	pred13_sd = computeForecast(data13, indices, "Persistence", "Persistence", Inf, 24,
		same_day=TRUE)
	pred13_dd = computeForecast(data13, indices, "Persistence", "Persistence", Inf, 24,
		same_day=FALSE)
	for (i in 2:6)
	{
		expect_equal(pred13_sd$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )
		expect_equal(pred13_dd$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )
	}
	#boundaries are special cases: OK if same day, quite wrong otherwise
	expect_equal(pred13_sd$getSerie(1), c( rep(1,11), rep(2,13) ) )
	expect_equal(pred13_dd$getSerie(1), c( rep(1,11), rep(-5,13) ) )
	expect_equal(pred13_sd$getSerie(7), c( rep(7,11), rep(1,13) ) )
	expect_equal(pred13_dd$getSerie(7), c( rep(7,11), rep(8,13) ) )

	#A few extra checks
	expect_equal( pred00_sd$getIndexInData(3), dateIndexToInteger("2007-04-03",data00) )
	expect_equal( pred00_dd$getIndexInData(6), dateIndexToInteger("2007-04-06",data00) )
	expect_equal( pred13_sd$getIndexInData(3), dateIndexToInteger("2007-04-03",data13) )
	expect_equal( pred13_dd$getIndexInData(6), dateIndexToInteger("2007-04-06",data13) )
})

test_that("Neighbors method behave as expected",
{
	#Situation A: +Zero; correct if jump, wrong otherwise
	pred00 = computeForecast(data00, indices, "Neighbors", "Zero", Inf, 24, simtype="mix")
	for (i in 1:7)
		expect_equal(pred00$getSerie(i), rep(pred_order[i],24))

	pred13 = computeForecast(data13, indices, "Persistence", "Zero", Inf, 24, simtype="mix")
	for (i in 1:7)
		expect_equal(pred13$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )

	#Situation B: +Neighbors, always predict bad (small, averaged) jump
	pred00 = computeForecast(data00, indices, "Neighbors", "Neighbors", Inf, 24, simtype="endo")
	#Concerning weights, there are 12+(1 if i>=2) gaps at -6 and 90-12+(i-2 if i>=3) gaps at 1
	#Thus, predicted jump is respectively
	#  (12*-6+78)/90 = 0.06666667
	#  (13*-6+78)/91 = 0
	#  (13*-6+79)/92 = 0.01086957
	#  (13*-6+80)/93 = 0.02150538
	#  (13*-6+81)/94 = 0.03191489
	#  (13*-6+82)/95 = 0.04210526
	#  (13*-6+83)/96 = 0.05208333
	jumps = c(0.06666667, 0, 0.01086957, 0.02150538, 0.03191489, 0.04210526, 0.05208333)
	for (i in 1:7)
		expect_equal(pred00$getSerie(i), rep(pred_order[i]+jumps[i],24))

	#Next lines commented out because too unpredictable results (tendency to flatten everything...)
#	pred13 = computeForecast(data13, indices, "Neighbors", "Neighbors", Inf, 24, simtype="endo")
#	for (i in 1:7)
#		expect_equal(pred13$getSerie(i), c( rep(i,11), rep(i%%7+1,13) ) )

	#A few extra checks
	expect_equal( pred00$getIndexInData(1), dateIndexToInteger("2007-04-01",data00) )
	expect_equal( pred00$getIndexInData(4), dateIndexToInteger("2007-04-04",data00) )
	expect_equal( pred13$getIndexInData(1), dateIndexToInteger("2007-04-01",data13) )
	expect_equal( pred13$getIndexInData(4), dateIndexToInteger("2007-04-04",data13) )
})