# Mock data for testing
create_sample_announcement_data <- function() {
  data.frame(
    StartDateTime = as.POSIXct(c("2024-01-15 08:00:00", "2024-01-20 10:00:00")),
    EndDateTime = as.POSIXct(c("2024-01-15 18:00:00", "2024-01-20 20:00:00")),
    StartLatitude = c("15°30'S", "16°00'S"),
    EndLatitude = c("15°45'S", "16°15'S"),
    StartLongitude = c("75°30'W", "76°00'W"),
    EndLongitude = c("75°45'W", "76°15'W"),
    StartNauticalMiles = c(5, 10),
    EndNauticalMiles = c(15, 25),
    file_name = c("announcement1.pdf", "announcement2.pdf"),
    announcement = c("Announcement 1", "Announcement 2"),
    stringsAsFactors = FALSE
  )
}

# Tests for fetch_fishing_announcements()
test_that("fetch_fishing_announcements validates parameters", {
  # Test that function exists
  expect_true(exists("fetch_fishing_announcements"))
  
  # Test basic parameter validation without actually making HTTP calls
  start_date <- "01/01/2024"
  end_date <- "31/01/2024"
  
  expect_error(
    fetch_fishing_announcements(
      start_date = start_date,
      end_date = end_date,
      batch_size = -1 
    ),
    regexp = ".*"  
  )
})

test_that("fetch_fishing_announcements handles required parameters", {
  # Test missing required parameters
  expect_error(
    fetch_fishing_announcements(),
    regexp = ".*" 
  )
})

# Tests for extract_pdf_data()
test_that("extract_pdf_data handles empty input", {
  expect_error(
    result <- extract_pdf_data(character(0)),
    "'pdf_sources' is required and cannot be NULL or empty."
  )

})

test_that("extract_pdf_data errors when no files exist", {
  non_existent_files <- c("nonexistent1.pdf", "nonexistent2.pdf")
  
  expect_error(
    suppressWarnings(
      extract_pdf_data(non_existent_files, verbose = FALSE)
    ),
    "Could not access any of the specified files"
  )
})


test_that("extract_pdf_data handles invalid input types", {
  expect_error(
    extract_pdf_data(123),
    "'pdf_sources' must be a character vector"
  )
  
  expect_error(
    extract_pdf_data(),
    "'pdf_sources' is required and cannot be NULL or empty."
  )
})

test_that("extract_pdf_data errors when all URLs fail", {
  test_urls <- c(
    "http://example.com/file1.pdf",
    "https://example.com/file2.pdf",
    "ftp://example.com/file3.pdf"
  )
  
  expect_error(
    suppressWarnings(
      extract_pdf_data(test_urls, max_retries = 1, verbose = FALSE)
    ),
    regexp = "Could not access"
  )
})


# Tests for format_extracted_data()
test_that("format_extracted_data works correctly", {
  sample_data <- create_sample_announcement_data()
  
  result <- format_extracted_data(
    data = sample_data,
    convert_coordinates = TRUE
  )
  
  expect_s3_class(result, "data.frame")
  expect_equal(nrow(result), nrow(sample_data))
  
  # Check that datetime columns are properly formatted
  expect_s3_class(result$StartDateTime, "POSIXct")
  expect_s3_class(result$EndDateTime, "POSIXct")
})

test_that("format_extracted_data handles date filtering", {
  sample_data <- create_sample_announcement_data()
  
  # Filter to only include first announcement
  result <- format_extracted_data(
    data = sample_data,
    min_date = "2024-01-01",
    max_date = "2024-01-16"
  )
  
  expect_s3_class(result, "data.frame")
  expect_equal(nrow(result), 1)
  expect_equal(result$file_name[1], "announcement1.pdf")
})

test_that("format_extracted_data handles coordinate conversion", {
  skip_if_not_installed("stringr")
  
  sample_data <- create_sample_announcement_data()
  
  result <- format_extracted_data(
    data = sample_data,
    convert_coordinates = TRUE
  )
  
  coord_decimal_cols <- c("StartLatitude_decimal", "EndLatitude_decimal", 
                         "StartLongitude_decimal", "EndLongitude_decimal")
  
  expect_s3_class(result, "data.frame")
})

test_that("format_extracted_data validates required structure", {
  invalid_data <- data.frame(
    invalid_column = c(1, 2, 3)
  )
  
  expect_error(
    format_extracted_data(invalid_data),
    "Data does not have expected structure"
  )
})

test_that("format_extracted_data handles empty result after filtering", {
  sample_data <- create_sample_announcement_data()
  
  expect_warning(
    result <- format_extracted_data(
      data = sample_data,
      min_date = "2025-01-01",
      max_date = "2025-01-31"
    ),
    "No data meets the filtering criteria"
  )
  
  expect_equal(nrow(result), 0)
})

test_that("format_extracted_data handles different date input formats", {
  sample_data <- create_sample_announcement_data()
  
  # Test with Date objects
  min_date_obj <- as.Date("2024-01-01")
  max_date_obj <- as.Date("2024-01-16")
  
  result <- format_extracted_data(
    data = sample_data,
    min_date = min_date_obj,
    max_date = max_date_obj
  )
  
  expect_s3_class(result, "data.frame")
  expect_equal(nrow(result), 1)
})

test_that("format_extracted_data handles numeric conversion", {
  # Create data with text numeric columns
  sample_data <- create_sample_announcement_data()
  sample_data$StartNauticalMiles <- c("5.5", "10.2")
  sample_data$EndNauticalMiles <- c("15.7", "25.3")
  
  result <- format_extracted_data(sample_data)
  
  expect_type(result$StartNauticalMiles, "double")
  expect_type(result$EndNauticalMiles, "double")
  expect_equal(result$StartNauticalMiles[1], 5.5)
})

test_that("format_extracted_data handles NA values", {
  sample_data <- create_sample_announcement_data()
  sample_data$StartNauticalMiles[1] <- NA
  sample_data$StartLatitude[2] <- NA
  
  result <- format_extracted_data(sample_data)
  
  expect_s3_class(result, "data.frame")
  expect_equal(nrow(result), 2)
  expect_true(is.na(result$StartNauticalMiles[1]))
})

# Tests for coordinate conversion in announcements
test_that("announcement coordinate conversion works", {
  # Test DMS coordinate conversion
  dms_coords <- c("15°30'25\"S", "75°45'30\"W")
  
  # This would use the dms_to_decimal function
  decimal_coords <- dms_to_decimal(dms_coords)
  
  expect_type(decimal_coords, "double")
  expect_length(decimal_coords, 2)
  expect_true(all(decimal_coords < 0))  
})

# Tests for date parsing in announcements
test_that("announcement date parsing works", {
  # Test various date formats that might appear in announcements
  date_strings <- c(
    "2024-01-15 08:00:00",
    "15/01/2024 08:00",
    "2024-01-15T08:00:00Z"
  )
  
  for (date_str in date_strings) {
    result <- convert_to_date(date_str, output_type = "datetime")
    expect_s3_class(result, "POSIXct")
  }
})

# Helper function tests
test_that("announcement helper functions exist", {
  # Test that required helper functions exist for announcements
  helper_functions <- c(
    "check_required_packages",
    "get_main_page", 
    "extract_cookies",
    "extract_token",
    "create_download_dir",
    "fetch_announcements_batch",
    "generate_download_url",
    "download_file",
    "is_date_in_range",
    "process_pdf_text",
    "safe_numeric_conversion"
  )
  
  for (func in helper_functions) {
    expect_true(exists(func), info = paste("Function", func, "should exist"))
  }
})

# Test parameter validation for helper functions
test_that("safe_numeric_conversion works correctly", {
  # Test valid numeric strings
  valid_nums <- c("123", "45.67", "0", "-12.34")
  result <- safe_numeric_conversion(valid_nums, "test_column")
  
  expect_type(result, "double")
  expect_equal(result, c(123, 45.67, 0, -12.34))
  
  # Test invalid strings
  invalid_nums <- c("abc", "12.34.56", "", NA)
  expect_warning(
    result <- safe_numeric_conversion(invalid_nums, "test_column"),
    "could not be converted to numeric and were set to NA"
  )
  
  expect_true(any(is.na(result)))
})

test_that("is_date_in_range works correctly", {
  test_date <- "2024-01-15"
  start_date <- "2024-01-01"
  end_date <- "2024-01-31"
  
  # This tests the date range checking function
  result <- is_date_in_range(test_date, start_date, end_date)
  expect_type(result, "logical")
  expect_true(result)
  
  # Test date outside range
  outside_date <- "2024-02-15"
  result_outside <- is_date_in_range(outside_date, start_date, end_date)
  expect_false(result_outside)
})

# Integration test
test_that("announcement workflow integration", {
  # Test that the main functions can work together
  sample_data <- create_sample_announcement_data()
  
  # Format the data
  formatted_data <- format_extracted_data(sample_data)
  
  # Check that workflow produces valid output
  expect_s3_class(formatted_data, "data.frame")
  expect_true(nrow(formatted_data) > 0)
  expect_true("StartDateTime" %in% names(formatted_data))
  expect_true("EndDateTime" %in% names(formatted_data))
  
  # Test coordinate conversion if implemented
  if ("StartLatitude_decimal" %in% names(formatted_data)) {
    expect_type(formatted_data$StartLatitude_decimal, "double")
  }
})

# Test error handling in announcements
test_that("announcement functions handle errors gracefully", {
  # Test PDF extraction with invalid input
  expect_error(
    extract_pdf_data(NULL),
    "'pdf_sources' is required and cannot be NULL or empty."
  )
  
  # Test format_extracted_data with invalid structure
  expect_error(
    format_extracted_data(list(invalid = "structure")),
    regexp = ".*" 
  )
})

# Test announcement data validation
test_that("announcement data validation works", {
  sample_data <- create_sample_announcement_data()
  
  # Check required columns exist
  required_cols <- c("StartDateTime", "EndDateTime", "StartLatitude", "EndLatitude")
  expect_true(all(required_cols %in% names(sample_data)))
  
  # Check data types
  expect_s3_class(sample_data$StartDateTime, "POSIXct")
  expect_s3_class(sample_data$EndDateTime, "POSIXct")
  expect_type(sample_data$StartLatitude, "character")
  expect_type(sample_data$EndLatitude, "character")
})