# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
test_that("convert_range", {
l <- list(hello = "hi", spend = list(lower_bound = "0", upper_bound = "20"))
expect_equal(aa_process_InsightsRangeValue(l, "spend"), list(
hello = "hi",
spend_lower = 0,
spend_upper = 20
))
l <- list(hello = "hi", spend = list(lower_bound = NULL, upper_bound = "20"))
expect_equal(
aa_process_InsightsRangeValue(l, "spend"),
list(hello = "hi", spend_lower = NA, spend_upper = 20)
)
l <- list(hello = "hi", spend = list(lower_bound = 0, upper_bound = NULL))
expect_equal(
aa_process_InsightsRangeValue(l, "spend"),
list(hello = "hi", spend_lower = 0, spend_upper = NA)
)
})
test_that("convert demographic_distribution", {
dd <- list(
list(percentage = "0.001389", age = "45-54", gender = "unknown"),
list(percentage = "0.098611", age = "45-54", gender = "male"),
list(percentage = "0.001389", age = "55-64", gender = "unknown"),
list(percentage = "0.002778", age = "25-34", gender = "unknown"),
list(percentage = "0.005556", age = "35-44", gender = "unknown"),
list(percentage = "0.013889", age = "65+", gender = "male"),
list(percentage = "0.023611", age = "18-24", gender = "female"),
list(percentage = "0.127778", age = "35-44", gender = "male"),
list(percentage = "0.111111", age = "55-64", gender = "female"),
list(percentage = "0.079167", age = "55-64", gender = "male"),
list(percentage = "0.027778", age = "65+", gender = "female"),
list(percentage = "0.155556", age = "35-44", gender = "female"),
list(percentage = "0.154167", age = "25-34", gender = "female"),
list(percentage = "0.098611", age = "25-34", gender = "male"),
list(percentage = "0.077778", age = "45-54", gender = "female"),
list(percentage = "0.019444", age = "18-24", gender = "male"),
list(percentage = "0.001389", age = "65+", gender = "unknown")
)
expect_snapshot(aa_process_AudienceDistributionList(list(dd = dd), "dd"))
})
test_that("age_country_gender_reach_breakdown", {
example_archived_ad <- list(
id = "872228774116748",
age_country_gender_reach_breakdown = list(list(
country = "DE",
age_gender_breakdowns = list(
list(
age_range = "18-24",
male = 270L,
female = 57L,
unknown = 4L
),
list(
age_range = "25-34",
male = 1020L,
female = 283L,
unknown = 3L
)
)
))
)
expect_equal(
process_agbr(
example_archived_ad$age_country_gender_reach_breakdown[[1]]$age_gender_breakdowns
),
tibble::tibble(
age_range = c("18-24", "25-34"),
male = c(270L, 1020L),
female = c(57L, 283L),
unknown = c(4L, 3L)
)
)
expect_equal(
aa_process_AgeCountryGenderReachBreakdownList(example_archived_ad, "age_country_gender_reach_breakdown"),
list(
id = "872228774116748",
age_country_gender_reach_breakdown = list(tibble::tibble(
country = c("DE", "DE"),
age_range = c("18-24", "25-34"),
male = c(270L, 1020L),
female = c(57L, 283L),
unknown = c(4L, 3L)
))
)
)
})
test_that("beneficiary_payers", {
aa <- list(id = "313132487749670", beneficiary_payers = list(list(
payer = "European Committee of the Regions",
beneficiary = "European Committee of the Regions", current = TRUE
)))
expect_equal(
aa_process_BeneficiaryPayerList(aa, "beneficiary_payers"),
list(
id = "313132487749670",
beneficiary_payers = list(
tibble::tibble(
payer = "European Committee of the Regions",
beneficiary = "European Committee of the Regions",
current = TRUE
)
)
)
)
})
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