easier method to load prepped data from parquet to duckdb tables

process/R/db_connect.R

+.globals <- new.env(parent = emptyenv())
+
+duckdb_global_con <- function() {
+  if (is.null(.globals$duckdb_con)) {
+    .globals$duckdb_con <- con <- DBI::dbConnect(duckdb::duckdb())
+  }
+
+  .globals$duckdb_con
+}
+
 cf_prep_db_create <- function(data_dir = here::here("data-prep")) {
   tables <- dir_ls(data_dir)
   names(tables) <- path_file(tables)
   tbls_arrow$report_list <- arrow::open_dataset(tables["report_list"])
   cli::cli_progress_done()
 
-  con <- DBI::dbConnect(duckdb::duckdb())
+  con <- duckdb_global_con()
 
   cli::cli_progress_step("Creating db")
 

process/R/prep_open_dataset.R

+prep_open_dataset <- function(path_prep, partitioning = "sboe_id", ...) {
+  if (!fs::file_exists(path_prep)) {
+    path_here <- here::here("data-prep/", path_prep)
+    path_up <- fs::path("..", "data-prep", path_prep)
+    if (fs::file_exists(path_here)) {
+      path_prep <- path_here
+    } else if (fs::file_exists(path_up)) {
+      path_prep <- path_up
+    } else {
+      stop("File not found: ", path_prep)
+    }
+  }
+
+  if (length(fs::dir_ls(path_prep, type = "dir")) == 0) {
+    partitioning <- NULL
+  }
+
+  arrow::open_dataset(path_prep, partitioning = partitioning, ...)
+}
+
+prep_open_dataset_db <- function(table, ..., path_prep = table) {
+  pq <- prep_open_dataset(path_prep, ...)
+
+  con <- duckdb_global_con()
+  duckdb::duckdb_register_arrow(con, table, pq)
+  dplyr::tbl(con, table)
+}

process/R/prepare_candidates.R

+prepare_candidates <- function(path_officers = "../data-prep/officers", report_list = tar_read(report_list)) {
+  officers_pq <- prep_open_dataset(path_officers)
+
+  officers <- officers_pq |> filter(type == "Candidate") |> collect()
+
+  officers |>
+    filter(!is.na(name)) |>
+    mutate(
+      name_display = name,
+      name = toupper(name)
+    ) |>
+    distinct(sboe_id, name, .keep_all = TRUE) |>
+    semi_join(report_list, by = "report_id")
+}