## Set up data
price <- c(10000, 13254, 320, 22222, 54321, 3, 0, 55555, 8291)
df <- data.frame(
Perioden = rep(c("2017JJ00", "2018JJ00", "2017JJ00"), 3),
RegioS = c(rep("GM1680", 3), rep("GM0197", 3), rep("GM0059", 3)),
GemiddeldeVerkoopprijs_1 = price,
stringsAsFactors = FALSE)
codes_df <- data.frame(
GemeentecodeGM = c("GM1680","GM0197", "GM0059"),
Provincienaam = c("Drenthe", "Groningen", "Groningen"),
Gemeentenaam = c("Duckstad", "Minas Morgul", "Rommeldam"),
stringsAsFactors = FALSE)
## Set up result
res <- clean_housing_price_data(df,codes_df)
test_that("Cleaned df contains the right columns",{
col_names <- c("municipality","province","year", "Average selling price", "municip_code")
expect_true(all(col_names %in% names(res)))
expect_true(all(names(res) %in% col_names))
})
test_that("Cleaned df correctly matches municipality codes", {
expect_equal(res[which(res[,"Average selling price"] == 22222),
"municipality"], "Minas Morgul")
expect_length(res[which(res[,"municipality"] == "Duckstad"),
"Average selling price"], 3)
})
test_that("jsonlite::read_json is called with two arguments", {
m <- mockery::mock()
mockery::stub(read_housing_price_data, "jsonlite::read_json", m)
read_housing_price_data()
expect_length(mockery::mock_args(m)[[1]], 2)
})
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