fix 2 tests out of 3; TODO: test forecasters

[talweg.git] / pkg / tests / testthat / test.computeFilaments.R

diff --git a/pkg/tests/testthat/test.computeFilaments.R b/pkg/tests/testthat/test.computeFilaments.R
index 46f2e3f..15b41b7 100644 (file)
--- a/pkg/tests/testthat/test.computeFilaments.R
+++ b/pkg/tests/testthat/test.computeFilaments.R
@@ -1,6 +1,7 @@
 context("Check that computeFilaments behaves as expected")
 
-test_that("output is as expected on simulated series",
+#MOCK data; NOTE: could be in inst/testdata as well
+getDataTest = function(n, shift)
 {
        x = seq(0,10,0.1)
        L = length(x)
@@ -11,41 +12,101 @@ test_that("output is as expected on simulated series",
        #sum((s1-s3)^2) == 57.03051
        #sum((s2-s3)^2) == 40.5633
        s = list( s1, s2, s3 )
-       n = 150
        series = list()
        for (i in seq_len(n))
        {
-               index = (i%%3) + 1
+               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=0.05)
+               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
        }
-       data = new("Data", data=series)
+       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*")
+})
 
-       # index 142 : serie type 2
-       f2 = computeFilaments(data, 142, limit=60, plot=FALSE)
-       # Expected output: 22 series of type 3 (closer), then 50-2-10 series of type 2
-       #
-       #
-       #
-       #
-       #
-       #
-       # 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)])
-       # index 143 : serie type 3
-       f3 = computeFilaments(data, 143, limit=70, plot=FALSE)
-       # Expected output: 22 series of type 2 (closer) then 50-2 series of type 3
-       # ATTENTION au shift
-       #
-       #
-       # index 144 : serie type 1
-       f1 = computeFilaments(data, 144, limit=50, plot=FALSE)
-       # Expected output: 2 series of type 3 (closer), then 50-2 series of type 1
-       #
-       expect_that( diff_norm, is_less_than(0.5) )
+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*")
 })