context("fit_photosynthesis()")
library(photosynthesis)

test_that("'fit_photosynthesis()' accepts data.frames and tibbles", {
  
  df1 = data.frame(
    .A = c(10, 9.5, 8, 3.5, 2.5, 2.0, 1, 0.2),
    .Q = c(1500, 750, 375, 125, 100, 75, 50, 25)
  )
  df2 = tibble::as_tibble(df1)
  
  f1 = suppressMessages(fit_photosynthesis(.data = df1, .photo_fun = "aq_response"))
  f2 = suppressMessages(fit_photosynthesis(.data = df2, .photo_fun = "aq_response"))
  expect_equal(coef(f1), coef(f2))
  
})

test_that(".vars argument renames variables", {
  
  df1 = data.frame(
    .A = c(10, 9.5, 8, 3.5, 2.5, 2.0, 1, 0.2),
    .Q = c(1500, 750, 375, 125, 100, 75, 50, 25)
  )
  df2 = dplyr::rename(df1, Photo = .A)
  df3 = dplyr::rename(df1, PPFD = .Q)
  df4 = dplyr::rename(df1, Photo = .A, PPFD = .Q)
  
  expect_error({fit_photosynthesis(.data = df2, .photo_fun = "aq_response")})
  expect_error({fit_photosynthesis(.data = df3, .photo_fun = "aq_response")})
  expect_error({fit_photosynthesis(.data = df4, .photo_fun = "aq_response")})

  f1 = suppressMessages(
    fit_photosynthesis(.data = df2, .photo_fun = "aq_response", 
                     .vars = list(.A = Photo))
  )
  f2 = suppressMessages(fit_photosynthesis(.data = df3, .photo_fun = "aq_response", 
                     .vars = list(.Q = PPFD))
  )
  f3 = suppressMessages(
    fit_photosynthesis(.data = df4, .photo_fun = "aq_response", 
                     .vars = list(.A = Photo, .Q = PPFD))
  )
  
  expect_equal(coef(f1), coef(f2))
  expect_equal(coef(f2), coef(f3))
  
  expect_error({fit_photosynthesis(.data = df2, .photo_fun = "aq_response", 
                                   .vars = list(.A = foo))})
  expect_error({fit_photosynthesis(.data = df3, .photo_fun = "aq_response", 
                                   .vars = list(.Q = bar))})

  f4 = suppressMessages(
    fit_photosynthesis(.data = dplyr::mutate(df4, A1 = Photo), 
                       .photo_fun = "aq_response",
                       .vars = list(.A = Photo, .Q = PPFD))
  )
  expect_equal(coef(f3), coef(f4))
  
})

df1 = data.frame(
  .A = c(10, 9.5, 8, 3.5, 2.5, 2.0, 1, 0.2),
  .Q = c(1500, 750, 375, 125, 100, 75, 50, 25)
)

fit = fit_photosynthesis(
  .data = df1,
  .photo_fun = "aq_response",
  .model = "marshall_biscoe_1980"
)

test_that("marshall_biscoe_1980 output", {
  expect_is(object = fit, class = "nls")
})

fit = fit_photosynthesis(
  .data = df1,
  .photo_fun = "aq_response",
  .model = "photoinhibition"
)

test_that("photoinhibition output", {
  expect_is(object = fit, class = "nls")
})