#' @include guidance.R relevant_dq.R aaa_imports.R
NULL
if (interactive() && curl::has_internet() && clarity.looker::is_dev() && (difftime(Sys.time(), UU::`%|try|%`(readRDS("last_update.rds"), Sys.time())) > lubridate::days(7))) {
googlesheets4::gs4_auth(path = "inst/vault/rminor@rminor-333915.iam.gserviceaccount.com.json")
id <- "15HsbSGmsscGtUIZnBDSVPaU4Zsotp7Dj79mXpPAu_lw"
guidance <- purrr::map(rlang::set_names(googlesheets4::sheet_names(id)), ~googlesheets4::read_sheet(id, sheet = .x, col_types = "c"))
# Handle irrelevant
all_dq <- stringr::str_subset(ls(envir = .getNamespace("RmData"), pattern = "^dq\\_"), "^((?!\\_sp\\_)(?!\\_overlaps)(?!\\_check_eligibility).)*$")
if (is_clarity()) {
irrelevant <- guidance$`Guidance list`$name[(nchar(guidance$`Guidance list`$irrelevant) > 0) %|% FALSE]
irrelevant <- unique(guidance$Checks$DQ_Check[stringr::str_extract(guidance$Checks$Guidance, "(?<=guidance\\$)[\\w\\_]+") %in% irrelevant])
relevant_dq <- setdiff(all_dq, irrelevant)
} else {
relevant_dq <- all_dq
}
dump("relevant_dq", file.path("R","relevant_dq.R"))
guidance <- purrr::map(rlang::set_names(guidance$`Guidance list`$name), ~{
guidance$`Guidance list`$guidance[guidance$`Guidance list`$name == .x]
})
f <- ifelse(clarity.looker::is_dev(), "R/guidance.R", file.path(system.file(package = "RmData"), "R", "guidance.R"))
# attr(guidance, "last_update") <- Sys.time()
saveRDS(Sys.time(), "last_update.rds")
dump("guidance", f)
}
#' @title guidance
#' @name guidance
#' @description A list of instructions tailored to the specific HMIS software for each Data Quality Issue.
#' @export
guidance
#' @title Relevant dq
#' @name relevant_dq
#' @description A list of the Data Quality Checks that are relevant and should be run in `data_quality`.
#' @export
relevant_dq
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