Nothing
# Define paths to example files in the extdata directory
feedtimes_file <- system.file("extdata", "feedtimes.csv", package = "greenfeedr")
rfid_file_path <- system.file("extdata", "RFID_file.csv", package = "greenfeedr")
# Read RFID file for comparison
rfid_file <- read_csv(rfid_file_path, col_types = cols(.default = col_character()))
# Test if pellin processes data correctly
test_that("pellin processes data correctly", {
# Ensure the files exist
expect_true(file.exists(feedtimes_file))
expect_true(file.exists(rfid_file_path))
# Define the save directory and output file path
save_dir <- tempdir()
output_file <- file.path(save_dir, paste0("Pellet_Intakes_", "2024-05-13", "_", "2024-05-25", ".csv"))
# Run pellin function
pellin(
unit = 1,
gcup = 34,
start_date = "2024-05-13",
end_date = "2024-05-25",
save_dir = save_dir,
rfid_file = rfid_file,
file_path = feedtimes_file
)
# Check if the file was created
expect_true(file.exists(output_file))
# Read and validate the content of the saved file
result <- read_csv(output_file, col_types = cols(.default = col_character()))
# Example assertions to check the output
expect_s3_class(result, "data.frame") # Ensure the output is a data frame
expect_true(nrow(result) > 0) # Check that the result is not empty
# Validate the structure and contents of the result
expect_true("Date" %in% names(result))
expect_true("PIntake_kg" %in% names(result))
})
# Test handling of missing RFID file
test_that("pellin handles missing RFID file", {
# Define the save directory and output file path
save_dir <- tempdir()
output_file <- file.path(save_dir, paste0("Pellet_Intakes_", "2024-05-13", "_", "2024-05-25", ".csv"))
# Run pellin function with missing RFID file
pellin(
file_path = feedtimes_file,
unit = 1,
gcup = 34,
start_date = "2024-05-13",
end_date = "2024-05-25",
save_dir = save_dir
)
# Check if the file was created
expect_true(file.exists(output_file))
# Read and validate the content of the saved file
result <- read_csv(output_file, col_types = cols(.default = col_character()))
# Example assertions to check the output
expect_s3_class(result, "data.frame") # Ensure the output is a data frame
expect_true(nrow(result) > 0) # Check that the result is not empty
# Validate the structure and contents of the result
expect_true("Date" %in% names(result))
expect_true("PIntake_kg" %in% names(result))
})
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