test_that("flat_table() creates a flat_table object", {
  expect_equal({
    flat_table('iris', head(iris))
  }, structure(
    list(
      name = "iris",
      table = structure(
        list(
          Species = c("setosa",
                      "setosa", "setosa", "setosa", "setosa", "setosa"),
          Sepal.Length = c(5.1,
                           4.9, 4.7, 4.6, 5, 5.4),
          Sepal.Width = c(3.5, 3, 3.2, 3.1, 3.6,
                          3.9),
          Petal.Length = c(1.4, 1.4, 1.3, 1.5, 1.4, 1.7),
          Petal.Width = c(0.2,
                          0.2, 0.2, 0.2, 0.2, 0.4)
        ),
        row.names = c(NA,-6L),
        class = c("tbl_df",
                  "tbl", "data.frame")
      ),
      unknown_value = "___UNKNOWN___",
      operations = structure(list(
        operations = structure(
          list(
            operation = "flat_table",
            name = "iris<|>___UNKNOWN___",
            details = "Species",
            details2 = "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width",
            order = 1
          ),
          row.names = c(NA,-1L),
          class = "data.frame"
        )
      ), class = "star_operation"),
      pk_attributes = NULL,
      lookup_tables = list(),
      attributes = "Species",
      measures = c(
        "Sepal.Length",
        "Sepal.Width",
        "Petal.Length",
        "Petal.Width"
      )
    ),
    class = "flat_table"
  ))
})

test_that("flat_table() creates a flat_table object", {
  expect_equal({
    flat_table('ft_num', head(ft_num))
  }, structure(
    list(
      name = "ft_num",
      table = structure(
        list(
          Year = c("1962",
                   "1962", "1963", "1964", "1964", "1962"),
          WEEK = c("2", "4", "4",
                   "3", "6", "3"),
          `Week Ending Date` = c(
            "01/13/1962",
            "01/27/1962",
            "01/26/1963",
            "01/18/1964",
            "02/08/1964",
            "01/20/1962"
          ),
          REGION = c("1",
                     "1", "1", "1", "1", "1"),
          State = c("MA", "MA", "MA", "MA", "MA",
                    "CT"),
          City = c(
            "Boston",
            "Boston",
            "Boston",
            "Boston",
            "Boston",
            "Bridgeport"
          ),
          `<1 year (all cause deaths)` = c("14", "22", "11",
                                           "17", "13", "5"),
          `1-24 years (all cause deaths)` = c("8", "7",
                                              "14", "7", "9", "1"),
          `25-44 years` = c("11", "8", "17", "24",
                            "14", "3"),
          `45-64 years (all cause deaths)` = c("70", "73",
                                               "67", "90", "61", "10"),
          `65+ years (all cause deaths)` = c("167",
                                             "175", "167", "187", "147", "21"),
          `Pneumonia and Influenza Deaths` = c(11L,
                                               12L, 10L, 13L, 9L, 2L),
          `All Deaths` = c(270L, 285L, 276L, 325L,
                           244L, 40L)
        ),
        row.names = c(NA,-6L),
        class = c("tbl_df", "tbl",
                  "data.frame")
      ),
      unknown_value = "___UNKNOWN___",
      operations = structure(list(
        operations = structure(
          list(
            operation = "flat_table",
            name = "ft_num<|>___UNKNOWN___",
            details = "Year<|>WEEK<|>Week Ending Date<|>REGION<|>State<|>City<|><1 year (all cause deaths)<|>1-24 years (all cause deaths)<|>25-44 years<|>45-64 years (all cause deaths)<|>65+ years (all cause deaths)",
            details2 = "Pneumonia and Influenza Deaths<|>All Deaths",
            order = 1
          ),
          row.names = c(NA,-1L),
          class = "data.frame"
        )
      ), class = "star_operation"),
      pk_attributes = NULL,
      lookup_tables = list(),
      attributes = c(
        "Year",
        "WEEK",
        "Week Ending Date",
        "REGION",
        "State",
        "City",
        "<1 year (all cause deaths)",
        "1-24 years (all cause deaths)",
        "25-44 years",
        "45-64 years (all cause deaths)",
        "65+ years (all cause deaths)"
      ),
      measures = c("Pneumonia and Influenza Deaths",
                   "All Deaths")
    ),
    class = "flat_table"
  ))
})

test_that("snake_case()", {
  expect_equal({
    ft <- flat_table('iris', head(iris)) |>
      snake_case()
    c(
      ft$name,
      names(ft$table),
      ft$pk_attributes,
      ft$attributes,
      ft$measures,
      ft$operations[[1]][[1]]
    )
  }, c(
    "iris",
    "species",
    "sepal_length",
    "sepal_width",
    "petal_length",
    "petal_width",
    "species",
    "sepal_length",
    "sepal_width",
    "petal_length",
    "petal_width",
    "flat_table",
    "snake_case"
  ))
})


test_that("get_attribute_names()", {
  expect_equal({
    flat_table('ft_num', ft_num) |>
      get_attribute_names()
  }, c(
    "Year",
    "WEEK",
    "Week Ending Date",
    "REGION",
    "State",
    "City",
    "<1 year (all cause deaths)",
    "1-24 years (all cause deaths)",
    "25-44 years",
    "45-64 years (all cause deaths)",
    "65+ years (all cause deaths)"
  ))
})


test_that("get_attribute_names()", {
  expect_equal({
    flat_table('ft_num', ft_num) |>
      get_attribute_names(as_definition = TRUE)
  }, "c('Year', 'WEEK', 'Week Ending Date', 'REGION', 'State', 'City', '<1 year (all cause deaths)', '1-24 years (all cause deaths)', '25-44 years', '45-64 years (all cause deaths)', '65+ years (all cause deaths)')")
})


test_that("get_measure_names()", {
  expect_equal({
    flat_table('iris', iris) |>
      get_measure_names()
  }, c(
    "Sepal.Length",
    "Sepal.Width",
    "Petal.Length",
    "Petal.Width"
  ))
})


test_that("get_measure_names()", {
  expect_equal({
    flat_table('iris', iris) |>
      get_measure_names(ordered = TRUE, as_definition = TRUE)
  }, "c('Petal.Length', 'Petal.Width', 'Sepal.Length', 'Sepal.Width')")
})


test_that("set_attribute_names() and get_attribute_names()", {
  expect_equal({
    ft <- flat_table('iris', iris) |>
      set_attribute_names(old = c('Species'),
                          new = c('species'))
    c(ft$operations$operation$operation,
      ft |>
        get_attribute_names())
  }, c("flat_table", "set_attribute_names", "species"))
})


test_that("set_attribute_names() and get_attribute_names()", {
  expect_equal({
    new <- "species"
    names(new) <- "Species"
    ft <- flat_table('iris', iris) |>
      set_attribute_names(
        new = new)
    c(ft$operations$operation$operation,
      ft |>
        get_attribute_names())
  }, c("flat_table", "set_attribute_names", "species"))
})


test_that("set_measure_names() and get_measure_names()", {
  expect_equal({
    ft <- flat_table('iris', iris) |>
      set_measure_names(
        old = c(
          'Petal.Length',
          'Petal.Width',
          'Sepal.Length',
          'Sepal.Width'
        ),
        new = c('pl', 'pw', 'ls', 'sw')
      )
    c(ft$operations$operation$operation,
      ft |>
        get_measure_names())
  }, c("flat_table", "set_measure_names", "ls", "sw", "pl", "pw"))
})


test_that("set_measure_names() and get_measure_names()", {
  expect_equal({
    new <- c('pl', 'pw', 'ls', 'sw')
    names(new) <- c('Petal.Length', 'Petal.Width', 'Sepal.Length', 'Sepal.Width')
    ft <- flat_table('iris', iris) |>
      set_measure_names(
        new = new)
    c(ft$operations$operation$operation,
      ft |>
        get_measure_names())
  }, c("flat_table", "set_measure_names", "ls", "sw", "pl", "pw"))
})

test_that("get_similar_attribute_values()", {
  expect_equal({
    ft <- flat_table('iris', iris)
    ft$table$Species[2] <- "se Tosa"
    ft$table$Species[20] <- "se.Tosa."
    ft$table$Species[60] <- "Versicolor"
    ft |>
      get_similar_attribute_values()
  }, {
    list(
      structure(
        list(Species = c("se Tosa", "se.Tosa.", "setosa")),
        row.names = c(NA,-3L),
        class = c("tbl_df", "tbl", "data.frame")
      ),
      structure(
        list(Species = c("Versicolor", "versicolor")),
        row.names = c(NA,-2L),
        class = c("tbl_df", "tbl", "data.frame")
      )
    )
  })
})


test_that("get_similar_attribute_values()", {
  expect_equal({
    ft <- flat_table('iris', iris)
    ft$table$Species[2] <- "se Tosa"
    ft$table$Species[20] <- "se.Tosa."
    ft$table$Species[60] <- "Versicolor"
    ft |>
      get_similar_attribute_values(col_as_vector = 'col')
  }, {
    list(
      structure(
        list(
          Species = c("se Tosa", "se.Tosa.", "setosa"),
          col = c("c('se Tosa')", "c('se.Tosa.')", "c('setosa')")
        ),
        row.names = c(NA, -3L),
        class = c("tbl_df", "tbl", "data.frame")
      ),
      structure(
        list(
          Species = c("Versicolor", "versicolor"),
          col = c("c('Versicolor')",
                  "c('versicolor')")
        ),
        row.names = c(NA, -2L),
        class = c("tbl_df",
                  "tbl", "data.frame")
      )
    )
  })
})

test_that("get_similar_attribute_values_individually()", {
  expect_equal({
    ft <- flat_table('iris', iris)
    ft$table$Species[2] <- "se Tosa"
    ft$table$Species[20] <- "se.Tosa."
    ft$table$Species[60] <- "Versicolor"
    ft |>
      get_similar_attribute_values_individually()
  }, {
    list(
      structure(
        list(Species = c("se Tosa", "se.Tosa.", "setosa")),
        row.names = c(NA, -3L),
        class = c("tbl_df", "tbl", "data.frame")
      ),
      structure(
        list(Species = c("Versicolor", "versicolor")),
        row.names = c(NA, -2L),
        class = c("tbl_df", "tbl", "data.frame")
      )
    )
  })
})

test_that("get_similar_attribute_values_individually()", {
  expect_equal({
    ft <- flat_table('ft_num', ft_num)
    ft$table$Year[3] <- "1.963"
    ft |>
      get_similar_attribute_values_individually()
  }, {
    list(structure(
      list(Year = c("1.963", "1963")),
      row.names = c(NA, -2L),
      class = c("tbl_df", "tbl", "data.frame")
    ))
  })
})


test_that("get_unique_attribute_values()", {
  expect_equal({
    flat_table('iris', iris) |>
      get_unique_attribute_values()
  }, {
    structure(
      list(Species = c("setosa", "versicolor", "virginica")),
      row.names = c(NA,-3L),
      class = c("tbl_df", "tbl", "data.frame")
    )
  })
})


test_that("get_unique_attribute_values()", {
  expect_equal({
    flat_table('ft_num', ft_num) |>
      get_unique_attribute_values(attributes = c("REGION", "State"))
  }, {
    structure(
      list(REGION = c("1", "1"), State = c("CT", "MA")),
      row.names = c(NA,-2L),
      class = c("tbl_df", "tbl", "data.frame")
    )
  })
})


test_that("replace_attribute_values() ", {
  expect_equal({
    flat_table('iris', iris) |>
      replace_attribute_values(
        attributes = 'Species',
        old = c('setosa'),
        new = c('versicolor')
      ) |>
      get_unique_attribute_values()
  }, structure(
    list(Species = c("versicolor", "virginica")),
    row.names = c(NA,-2L),
    class = c("tbl_df", "tbl", "data.frame")
  ))
})


test_that("replace_attribute_values() ", {
  expect_equal({
    flat_table('iris', iris) |>
      replace_attribute_values(
        attributes = 'Species',
        old = c('setosa'),
        new = c('versicolor')
      ) |>
      get_unique_attribute_values()
  }, structure(
    list(Species = c("versicolor", "virginica")),
    row.names = c(NA,-2L),
    class = c("tbl_df", "tbl", "data.frame")
  ))
})


test_that("replace_attribute_values() ", {
  expect_equal({
    ft <- flat_table('iris', iris) |>
      replace_attribute_values(
        attributes = 'Species',
        old = c('setosa', 'virginica', 'versicolor'),
        new = c('flor')
      ) |>
      get_unique_attribute_values()
  }, structure(
    list(Species = c("flor")),
    row.names = c(NA,-1L),
    class = c("tbl_df", "tbl", "data.frame")
  ))
})


test_that("replace_attribute_values() ", {
  expect_equal({
    r <- flat_table('ft_num', ft_num) |>
      replace_attribute_values(
        attributes = c('Year', 'WEEK'),
        old = c('1962', '2'),
        new = c('1932', '12')
      ) |>
      get_unique_attribute_values(attributes = c('Year', 'WEEK'))
    r[1,]
  }, structure(
    list(Year = "1932", WEEK = "12"),
    row.names = c(NA,-1L),
    class = c("tbl_df", "tbl", "data.frame")
  ))
})




test_that("lookup_table() ", {
  expect_equal({
    flat_table('iris', iris) |>
      lookup_table(
        measures = c(
          "Sepal.Length",
          "Sepal.Width",
          "Petal.Length",
          "Petal.Width"
        ),
        measure_agg = c('MAX', 'MIN', 'SUM', 'MEAN')
      )
  }, structure(
    list(
      name = "iris",
      table = structure(
        list(
          Species = c("setosa",
                      "versicolor", "virginica"),
          Sepal.Length = c(5.8, 7, 7.9),
          Sepal.Width = c(2.3,
                          2, 2.2),
          Petal.Length = c(73.1, 213, 277.6),
          Petal.Width = c(0.246,
                          1.326, 2.026)
        ),
        row.names = c(NA,-3L),
        class = c("tbl_df", "tbl",
                  "data.frame")
      ),
      unknown_value = "___UNKNOWN___",
      operations = structure(list(
        operations = structure(
          list(
            operation = c("flat_table", "lookup_table"),
            name = c("iris<|>___UNKNOWN___", "Species"),
            details = c("Species",
                        "|"),
            details2 = c(
              "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width",
              "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width<|>|<|>MAX<|>MIN<|>SUM<|>MEAN"
            ),
            order = c(1, 2)
          ),
          row.names = c(NA,-2L),
          class = "data.frame"
        )
      ), class = "star_operation"),
      pk_attributes = "Species",
      lookup_tables = list(),
      attributes = "Species",
      measures = c(
        "Sepal.Length",
        "Sepal.Width",
        "Petal.Length",
        "Petal.Width"
      )
    ),
    class = "flat_table"
  ))
})


test_that("get_pk_attribute_names() ", {
  expect_equal({
    flat_table('iris', iris) |>
      lookup_table(
        measures = c(
          "Sepal.Length",
          "Sepal.Width",
          "Petal.Length",
          "Petal.Width"
        ),
        measure_agg = c('MAX', 'MIN', 'SUM', 'MEAN')
      ) |>
      get_pk_attribute_names()
  }, "Species")
})


test_that("join_lookup_table() ", {
  expect_equal({
    lookup <- flat_table('iris', iris) |>
      lookup_table(
        measures = c(
          "Sepal.Length",
          "Sepal.Width",
          "Petal.Length",
          "Petal.Width"
        ),
        measure_agg = c('MAX', 'MIN', 'SUM', 'MEAN')
      )
    lookup |>
      join_lookup_table(lookup = lookup)
  }, structure(
    list(
      name = "iris",
      table = structure(
        list(
          Species = c("setosa",
                      "versicolor", "virginica"),
          Sepal.Length = c(5.8, 7, 7.9),
          Sepal.Width = c(2.3,
                          2, 2.2),
          Petal.Length = c(73.1, 213, 277.6),
          Petal.Width = c(0.246,
                          1.326, 2.026),
          Sepal.Length.lookup = c(5.8, 7, 7.9),
          Sepal.Width.lookup = c(2.3,
                                 2, 2.2),
          Petal.Length.lookup = c(73.1, 213, 277.6),
          Petal.Width.lookup = c(0.246,
                                 1.326, 2.026)
        ),
        row.names = c(NA,-3L),
        class = c("tbl_df", "tbl",
                  "data.frame")
      ),
      unknown_value = "___UNKNOWN___",
      operations = structure(list(
        operations = structure(
          list(
            operation = c("flat_table", "lookup_table",
                          "join_lookup_table"),
            name = c("iris<|>___UNKNOWN___", "Species",
                     "Species"),
            details = c("Species", "|", "1"),
            details2 = c(
              "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width",
              "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width<|>|<|>MAX<|>MIN<|>SUM<|>MEAN",
              ""
            ),
            order = c(1, 2, 3)
          ),
          row.names = c(NA,-3L),
          class = "data.frame"
        )
      ), class = "star_operation"),
      pk_attributes = "Species",
      lookup_tables = list(iris = structure(
        list(
          name = "iris",
          table = structure(
            list(
              Species = c("setosa",
                          "versicolor", "virginica"),
              Sepal.Length = c(5.8, 7,
                               7.9),
              Sepal.Width = c(2.3, 2, 2.2),
              Petal.Length = c(73.1,
                               213, 277.6),
              Petal.Width = c(0.246, 1.326, 2.026)
            ),
            row.names = c(NA,-3L),
            class = c("tbl_df", "tbl", "data.frame")
          ),
          unknown_value = "___UNKNOWN___",
          operations = structure(list(
            operations = structure(
              list(
                operation = c("flat_table", "lookup_table"),
                name = c("iris<|>___UNKNOWN___",
                         "Species"),
                details = c("Species", "|"),
                details2 = c(
                  "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width",
                  "Sepal.Length<|>Sepal.Width<|>Petal.Length<|>Petal.Width<|>|<|>MAX<|>MIN<|>SUM<|>MEAN"
                ),
                order = c(1, 2)
              ),
              row.names = c(NA,-2L),
              class = "data.frame"
            )
          ), class = "star_operation"),
          pk_attributes = "Species",
          lookup_tables = list(),
          attributes = "Species",
          measures = c(
            "Sepal.Length",
            "Sepal.Width",
            "Petal.Length",
            "Petal.Width"
          )
        ),
        class = "flat_table"
      )),
      attributes = "Species",
      measures = c(
        "Sepal.Length",
        "Sepal.Width",
        "Petal.Length",
        "Petal.Width",
        "Sepal.Length.lookup",
        "Sepal.Width.lookup",
        "Petal.Length.lookup",
        "Petal.Width.lookup"
      )
    ),
    class = "flat_table"
  ))
})


test_that("check_lookup_table() ", {
  expect_equal({
    lookup <- flat_table('iris', iris) |>
      lookup_table(
        measures = c(
          "Sepal.Length",
          "Sepal.Width",
          "Petal.Length",
          "Petal.Width"
        ),
        measure_agg = c('MAX', 'MIN', 'SUM', 'MEAN')
      )
    flat_table('iris', iris) |>
      replace_attribute_values(
        attributes = 'Species',
        old = c('setosa'),
        new = c('flor')
      ) |>
      check_lookup_table(lookup = lookup)
  }, structure(
    list(Species = "flor"),
    row.names = c(NA,-1L),
    class = c("tbl_df",
              "tbl", "data.frame")
  ))
})



test_that("get_unknown_values() ", {
  expect_equal({
    iris2 <- iris
    iris2[10, 'Species'] <- NA
    flat_table('iris', iris2) |>
      get_unknown_values()
  }, structure(list(Species = NA_character_), row.names = c(NA, -1L
  ), class = c("tbl_df", "tbl", "data.frame")))
})


test_that("read_flat_table_file() ", {
  expect_equal({
    file <-
      system.file("extdata",
                  "mrs_122_us_cities_1962_2016_new.csv",
                  package = "rolap")

    ft <- read_flat_table_file('mrs_new', file)
    names(ft)
  }, c(
    "name",
    "table",
    "unknown_value",
    "operations",
    "pk_attributes",
    "lookup_tables",
    "attributes",
    "measures"
  ))
})


test_that("read_flat_table_folder() ", {
  expect_equal({
    file <- system.file("extdata", package = "rolap")

    ft <- read_flat_table_folder('mrs_new', file)
    names(ft)
  }, c(
    "name",
    "table",
    "unknown_value",
    "operations",
    "pk_attributes",
    "lookup_tables",
    "attributes",
    "measures"
  ))
})



test_that("read_flat_table_folder() ", {
  expect_equal({
    file <- system.file("extdata", package = "rolap")

    ft <- read_flat_table_folder('mrs_new', file,
                                 same_columns = TRUE,
                                 snake_case = TRUE)
    names(ft)
  }, c(
    "name",
    "table",
    "unknown_value",
    "operations",
    "pk_attributes",
    "lookup_tables",
    "attributes",
    "measures"
  ))
})