Feature/zip dropbox files

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: ohcleandat
 Type: Package
 Title: One Health Data Cleaning and Quality Checking Package
-Version: 0.3.8
+Version: 0.3.9
 Authors@R: c(
     person("Collin", "Schwantes", email = "[email protected]", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-4014-4896")),
     person("Johana", "Teigen", email = "[email protected]", role = "aut", comment = c(ORCID = "0000-0002-6209-2321")),
@@ -24,6 +24,7 @@ Imports:
     containerTemplateUtils (>= 0.0.0.9006),
     dplyr,
     frictionless,
+    fs,
     googledrive,
     googlesheets4,
     here,

NAMESPACE

@@ -23,6 +23,7 @@ export(get_species_letter)
 export(guess_col_type)
 export(id_checker)
 export(make_report_urls)
+export(make_zip_path)
 export(obfuscate_gps)
 export(obfuscate_lat)
 export(obfuscate_lon)

NEWS.md

@@ -1,3 +1,7 @@
+# ohcleandat 0.3.9
+
+* Files over 300mb are zipped before attempting to upload them to dropbox. Zipped validation logs on dropbox are automatically unzipped. 
+
 # ohcleandat 0.3.8
 
 * Fixing bug in bug fix - naming properties that will be updated

R/dropbox_upload.R

@@ -1,14 +1,16 @@
 #' Dropbox Upload
 #'
-#' Upload a local file to dropbox and handle authentication.
+#' Upload a local file to dropbox and handle authentication. Automatically
+#' zips files over 300mb by default.
 #'
 #' @details
 #' This is a wrapper of `rdrop2::drop_upload()` which first reads in a local
 #' CSV file and then uploads to a DropBox path.
 #'
-#' @param log Validation Log for OH cleaning pipelines
-#' @param file_path local file path for upload
-#' @param dropbox_path relative dropbox path
+#' @param log dataframe. Validation Log for OH cleaning pipelines. Will work with any tabular data.
+#' @param file_path character. local file path for upload
+#' @param dropbox_path character. relative dropbox path
+#' @param compress logical. Should files over 300mb be compressed?
 #'
 #' @return performs drop box upload
 #' @export
@@ -21,10 +23,22 @@
 #'     )
 #' }
 #'
-dropbox_upload <- function(log, file_path, dropbox_path) {
+dropbox_upload <- function(log, file_path, dropbox_path,compress = TRUE) {
   log_export <- readr::write_csv(log, file_path)
 
+  # set file path for file to upload
+  file_to_upload <- file_path
+
+  # check the file size
+  file_size_check <- (file.size(file_path)/10^6) > 300
+
+  # if compress and file size is greater than 300 then zip it
+  if(all(compress,file_size_check)){
+    file_to_upload <- make_zip_path(file_path)
+    utils::zip(zipfile = file_to_upload,files = file_path)
+  }
+
   # upload
-  rdrop2::drop_upload(file_path, dropbox_path)
+  rdrop2::drop_upload(file_to_upload, dropbox_path)
 
 }

R/get_dropbox_val_logs.R

@@ -6,7 +6,11 @@
 #' locally download the file to 'dropbox_validations' directory and read in to the
 #' session.
 #'
-#' @param file_name character file name with extension of the validation log
+#' @param file_name character file name with extension of the validation log.
+#' Note that file may have been zipped on upload if its over 300mb. This file
+#' will be automatically unzipped on download so provide the file extenstion for
+#'  the compressed file, not the zipped file. E.g. "val_log.csv" even if on
+#'  dropbox its stored as "val_log.zip".
 #' @param folder character the folder the log is saved in on drop box. Can be NULL if not in subfolder.
 #' @param path_name character the default drop box path
 #'
@@ -29,7 +33,11 @@ get_dropbox_val_logs <-
 
     # check file exists - it wont on first push
     if (!rdrop2::drop_exists(full_path_name)) {
-      return(NULL)
+      # check for zip version
+      full_path_name <- make_zip_path(full_path_name)
+      if(!rdrop2::drop_exists(full_path_name)){
+        return(NULL)
+      }
     }
 
     # download file from drop box
@@ -42,6 +50,12 @@ get_dropbox_val_logs <-
     # reading in the log, detecting with excel or csv
     local_path <- sprintf("%s/%s", "dropbox_validations", file_name)
 
+    # unzip if zipped
+    if (stringr::str_detect(full_path_name, ".zip")) {
+      local_zip_path <- make_zip_path(local_path)
+      utils::unzip(zipfile = local_zip_path,files = here::here(local_path))
+    }
+
     if (stringr::str_detect(file_name, ".xls|.xlsx")) {
       df <- readxl::read_xlsx(here::here(local_path))
     }
@@ -53,6 +67,8 @@ get_dropbox_val_logs <-
                         na = character())
     }
 
+
+
     # this ensures the log is ordered correctly before cleaning operations in case the user
     # has sorted the data before upload. Order is important so changes are processed sequentially.
     df_out <- df |>

R/make_zip_path.R

@@ -0,0 +1,24 @@
+#' Get make a zip file path
+#'
+#' Take a file path, remove the extension, replace the extension
+#' with .zip
+#'
+#' @param file_path character.
+#'
+#' @return character. String where extension is replaced by zip
+#' @export
+#'
+#' @examples
+#'
+#' file_path <- "hello.csv"
+#' make_zip_path(file_path)
+#'
+#' file_path_with_dir <- "foo/bar/hello.csv"
+#' make_zip_path(file_path_with_dir)
+#'
+make_zip_path <- function(file_path){
+  file_path_no_ext <- fs::path_ext_remove(file_path)
+  zip_path <- sprintf("%s.zip",file_path_no_ext)
+  return(zip_path)
+}
+