Fetch resource from RIDL
Usage
resource_fetch(url, path = tempfile())Examples
## Example 1: with a direct URL
#-----
# Test search in prod
# Sys.unsetenv("USE_UAT")
# resource_fetch(url = 'https://ridl.unhcr.org/dataset/a60f4b79-8acc-4893-8fb9-d52f94416b19/resource/daa2b9e4-bf97-4302-86a5-08bb62a5a937/download/df_age_2022.csv',
# path = tempfile())
## Example 2: Let's try to identify a resource - then fetch it locally and update it back... as from here
# https://github.com/unhcr-americas/darien_gap_human_mobility/blob/main/report.Rmd#L38
# Sys.unsetenv("USE_UAT")
# ## Get the dataset metadata based on its canonical name
# p <- riddle::dataset_show('rms_v4')
# ## Let's get the fifth resource within this dataset
# test_ressources <- p[["resources"]][[1]] |> dplyr::slice(5)
#
# ## Download the resource locally in a file name file..
# resource_fetch(url = test_ressources$url, path = here::here("file"))
# test_ressources$url
# # Rebuild the metadata
# m <- resource_metadata(type = test_ressources$type, #"data",
# url = "df_gender_2020.csv",
# upload = httr::upload_file(here::here("file")),
# name = test_ressources$name,
# "Irregular entries by gender in 2022",
# format = test_ressources$format, #"csv",
# file_type = test_ressources$file_type, #"microdata",
# visibility = test_ressources$visibility, # "public",
# date_range_start = test_ressources$date_range_start,
# "2022-01-01",
# date_range_end = test_ressources$date_range_end, #as.character(floor_date(today('America/Panama'), "month") - days(1)),
#end day of last month
# version = test_ressources$version, # "0",
# process_status = test_ressources$process_status,
#"anonymized",
# identifiability = test_ressources$identifiability, #"anonymized_public"
# )
#r <- resource_update(id = test_ressources$id, res_metadata = m)