# Plot AUC comparisons (1-year gap) between models and Delphi using ggplot2
# Usage:
#   Rscript plot_model_comparison_1year.R [path_to_csv] [output_dir]
# Defaults:
#   path_to_csv = "model_comparison_auc_1year.csv"
#   output_dir  = current working directory (".")

suppressPackageStartupMessages({
  library(ggplot2)
})

args <- commandArgs(trailingOnly = TRUE)
csv_path <- if (length(args) >= 1) args[1] else "model_comparison_auc_1year.csv"
out_dir  <- if (length(args) >= 2) args[2] else "."

if (!dir.exists(out_dir)) {
  dir.create(out_dir, recursive = TRUE, showWarnings = FALSE)
}

# Read data
# Expect columns including: auc_delphi, auc_256, auc_120, Colour (hex color), name, etc.
df <- tryCatch({
  read.csv(csv_path, check.names = FALSE)
}, error = function(e) {
  stop(sprintf("Failed to read CSV at '%s': %s", csv_path, e$message))
})

# Helper to make a scatter plot comparing model vs Delphi AUC
make_comparison_plot <- function(data, y_col, title_text, y_label) {
  # Use shape 21 (filled circle) to allow white stroke and colored fill
  ggplot(data, aes(x = auc_delphi, y = .data[[y_col]])) +
    geom_abline(slope = 1, intercept = 0, color = "black", linetype = "dashed", linewidth = 0.5) +
    geom_vline(xintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
    geom_hline(yintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
    geom_point(aes(fill = Colour), shape = 21, color = "white", stroke = 0.65, size = 2.2, alpha = 0.95, show.legend = FALSE) +
    scale_fill_identity() +
    coord_cartesian(xlim = c(0.3, 1.05), ylim = c(0.3, 1.05)) +
    coord_fixed(ratio = 1) +
    labs(title = title_text, x = "AUC_Delphi", y = y_label) +
    theme_minimal(base_size = 10) +
    theme(
      plot.title = element_text(hjust = 0.5),
      panel.grid.minor = element_blank()
    )
}

# Plot: AUC_256 vs AUC_Delphi (1 year gap)
if (!all(c("auc_delphi", "auc_256") %in% names(df))) {
  stop("Input CSV must contain columns 'auc_delphi' and 'auc_256'.")
}

p256 <- make_comparison_plot(
  data = df,
  y_col = "auc_256",
  title_text = "AUC_256 vs AUC_Delphi 1 year gap",
  y_label = "AUC_256"
)

out_256 <- file.path(out_dir, "model_comparison_auc_256_vs_delphi_1year.png")
ggsave(filename = out_256, plot = p256, width = 7, height = 4, dpi = 600, bg = "white")
cat(sprintf("Saved: %s\n", out_256))

# Plot: AUC_120 vs AUC_Delphi (1 year gap)
if (!"auc_120" %in% names(df)) {
  warning("Column 'auc_120' not found in CSV; skipping AUC_120 vs AUC_Delphi plot.")
} else {
  p120 <- make_comparison_plot(
    data = df,
    y_col = "auc_120",
    title_text = "AUC_120 vs AUC_Delphi 1 year gap",
    y_label = "AUC_120"
  )
  out_120 <- file.path(out_dir, "fig_auc_120_vs_delphi_1year.png")
  ggsave(filename = out_120, plot = p120, width = 7, height = 4, dpi = 600, bg = "white")
  cat(sprintf("Saved: %s\n", out_120))
}