# consistency between models and function predictions
source("product/MPI/src/summarize_map.R")



check_id_consistency <- function(
    dataset_tag,
    split,
    verbose = FALSE) {

    if (verbose) {
        cat("Loading model ids...\n")
    }
    ids <- arrow::read_parquet(
        paste0("intermediate/", dataset_tag, "_", split, ".parquet"),
        col_select = "id")

    if (verbose) {
        cat("Loading function prediction ids...\n")
    }    
    ids_anno <- arrow::read_parquet(
        paste0("intermediate/", dataset_tag, "_function_predictions.parquet"),
        col_select = "id") |>
        dplyr::distinct(id)

    problems <- dplyr::full_join(
        ids_model |>
        dplyr::mutate(model_id = id),
        ids_anno |>
        dplyr::mutate(anno_id = id),
        by = "id") |>
        summarize_map(
            x_cols = model_id,
            y_cols = anno_id,
            verbose = verbose)
    problems
}

check_id_consistency("rosetta_high_quality")
check_id_consistency("rosetta_low_quality")
check_id_consistency("dmpfold_high_quality")
check_id_consistency("dmpfold_low_quality")