Add a script documenting how the 'job_info' example output was genera…

…ted (including the anonymization of username and job name)

dev/interactive_testing/clean_job_info.R

@@ -0,0 +1,29 @@
+library(here)
+library(dplyr)
+library(stringr)
+source(here('R', 'job_info.R'))
+
+#   Randomly grab 100 jobs running now on the 'shared' partition
+job_df = job_info(user = NULL) |>
+    sample_n(size = 100) |>
+    arrange(job_id)
+
+#   A vector whose values are anonymous usernames and whose names are the
+#   original usernames
+user_map = paste0('user', 1:length(unique(job_df$user)))
+names(user_map) = unique(job_df$user)
+
+#   Similarly for job names, though we'll keep the generic name for interactive
+#   jobs ('bash')
+name_map = paste0('my_job_', 1:length(unique(job_df$name)))
+names(name_map) = unique(job_df$name)
+name_map['bash'] = 'bash'
+
+#   Anonymize username and job name
+job_df = job_df  |>
+    mutate(
+        user = user_map[user],
+        name = name_map[name]
+    )
+
+saveRDS(job_df, here('inst', 'extdata', 'job_info_df.rds'))