context('messer')

# --------------- #
# messer testthat #
# --------------- #

test_that('messer throws error with invalid arguments', {
  # Not a data.frame or tibble for `df`
  expect_error(messer(df = c('a', 'b', 'c')))
  
  # Unavailable geography
  expect_error(
    messer(
    geo = 'zcta',
    state = 'DC',
    year = 2020,
    quiet = TRUE
  )
  )
  
  # Unavailable year
  expect_error(
    messer(
    state = 'DC',
    year = 2005,
    quiet = TRUE
  )
  )
  
  skip_if(Sys.getenv('CENSUS_API_KEY') == '')
  
  # Incorrect state
  expect_error(
    messer(
    state = 'AB',
    year = 2020,
    quiet = TRUE
  )
  )
  
  # Unavailable geography for DC (only 1 'county' in DC so, alone, NDI cannot be computed)
  expect_error(
    messer(
    geo = 'county',
    state = 'DC',
    year = 2009,
    quiet = TRUE
  )
  )
  
})

test_that('messer works', {
  expect_message(messer(df = DCtracts2020[,-c(2, 11:ncol(DCtracts2020))]))
  
  skip_if(Sys.getenv('CENSUS_API_KEY') == '')
  
  expect_message(
    messer(
      state = 'DC', 
      year = 2020
      )
    )
  
  expect_message(
    messer(
    state = 'DC',
    year = 2020,
    round_output = TRUE
  )
  )
  
  expect_message(
    messer(
    state = 'DC',
    year = 2020,
    imp = TRUE
  )
  )
  
  expect_silent(
    messer(
    state = 'DC',
    year = 2020,
    quiet = TRUE
  )
  )
  
  expect_silent(
    messer(
    state = 'DC',
    year = 2020,
    imp = TRUE,
    quiet = TRUE
  )
  )
  
})