fix 2 tests out of 3; TODO: test forecasters
[talweg.git] / pkg / tests / testthat / test.computeFilaments.R
1 context("Check that computeFilaments behaves as expected")
2
3 #MOCK data; NOTE: could be in inst/testdata as well
4 getDataTest = function(n, shift)
5 {
6 x = seq(0,10,0.1)
7 L = length(x)
8 s1 = cos(x)
9 s2 = sin(x)
10 s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
11 #sum((s1-s2)^2) == 97.59381
12 #sum((s1-s3)^2) == 57.03051
13 #sum((s2-s3)^2) == 40.5633
14 s = list( s1, s2, s3 )
15 series = list()
16 for (i in seq_len(n))
17 {
18 index = (i-1) %% 3 + 1 #map 1->1, 2->2, 3->3, 4->1, ..., 149->2, 150->3
19 level = mean(s[[index]])
20 serie = s[[index]] - level + rnorm(L,sd=0.01)
21 # 10 series with NAs for index 2
22 if (index == 2 && i >= 60 && i<= 90)
23 serie[sample(seq_len(L),1)] = NA
24 series[[i]] = list("level"=level,"serie"=serie) #no need for more
25 }
26 if (shift)
27 {
28 # Simulate shift at origin when predict_at > 0
29 series[2:(n+1)] = series[1:n]
30 series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
31 }
32 new("Data", data=series)
33 }
34
35 test_that("output is as expected on simulated series, predict_at == 0",
36 {
37 data = getDataTest(150, shift=FALSE)
38
39 # index 143 : serie type 2
40 f = computeFilaments(data, 143, limit=60, plot=FALSE)
41 # Expected output: 23 series of type 3 (closer), then 50-3-10 series of type 2, then index 143
42 expect_identical(length(f$indices), as.integer(61)) #61 because result also contain "today"
43 expect_identical(length(f$colors), as.integer(61))
44 for (i in 1:23)
45 {
46 expect_equal((f$indices[i]-1) %% 3 + 1, 3)
47 expect_match(f$colors[i], f$colors[1])
48 }
49 for (i in 24:60)
50 {
51 expect_equal((f$indices[i]-1) %% 3 + 1, 2)
52 expect_match(f$colors[i], f$colors[24])
53 }
54 expect_equal(f$indices[61], 143)
55 expect_match(f$colors[61], "#FF0000") #special color: current day in red
56 expect_match(f$colors[1], "#E*")
57 expect_match(f$colors[24], "#1*")
58 })
59
60 test_that("output is as expected on simulated series, predict_at > 0",
61 {
62 data = getDataTest(150, shift=TRUE)
63
64 # index 142 : serie type 3
65 f = computeFilaments(data, 142, limit=70, plot=FALSE)
66 # Expected output: 24 series of type 2 (closer) then 50-4 series of type 3, then 142
67 expect_identical(length(f$indices), as.integer(71))
68 expect_identical(length(f$colors), as.integer(71))
69 expect_true(all(f$indices >= 2)) #no type-1 neighbors
70 for (i in 1:24)
71 {
72 # -1 + -1 because of the initial shift
73 expect_equal((f$indices[i]-2) %% 3 + 1, 2)
74 expect_match(f$colors[i], f$colors[1])
75 }
76 for (i in 25:70)
77 {
78 expect_equal((f$indices[i]-2) %% 3 + 1, 3)
79 expect_match(f$colors[i], f$colors[25])
80 }
81 expect_equal(f$indices[71], 142)
82 expect_match(f$colors[71], "#FF0000")
83 expect_match(f$colors[1], "#E*")
84 expect_match(f$colors[25], "#1*")
85 })
86
87 test_that("output is as expected on simulated series",
88 {
89 data = getDataTest(150, shift=TRUE)
90
91 # index 143 : serie type 1
92 f = computeFilaments(data, 143, limit=60, plot=FALSE)
93 # Expected output: 23 series of type 3 (closer), then 50-10-3 series of type 1, then 143
94 # NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[
95 expect_identical(length(f$indices), as.integer(61))
96 expect_identical(length(f$colors), as.integer(61))
97 expect_true(all(f$indices >= 2)) #first_day should be 2
98 for (i in 1:23)
99 {
100 expect_equal(( (f$indices[i]-2) %% 3 ) + 1, 3)
101 expect_match(f$colors[i], f$colors[1])
102 }
103 for (i in 24:60)
104 {
105 expect_equal(( (f$indices[i]-2) %% 3 ) + 1, 1)
106 expect_match(f$colors[i], f$colors[24])
107 }
108 expect_equal(f$indices[61], 143)
109 expect_match(f$colors[61], "#FF0000")
110 expect_match(f$colors[1], "#E*")
111 expect_match(f$colors[24], "#1*")
112 })