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#' Browse available connections
#'
#' Provides information about created connections.
#'
#' @param name_str A regular expression to be used to identify connection names
#' to include. The default ('.*') returns all of them.
#' @param exact TRUE or FALSE. Should `name_str` match the name of a connection
#' exactly? TRUE will identify only 1 connection if name_str does not contain
#' any metacharacters
#'
#' @returns Null, or a tibble with 1 row per identified connection and the
#' following fields:
#'
#'\describe{
#' \item{name}{identifier (character)}
#' \item{description}{a description of the connection, if found in the conf
#' file (character)}
#' \item{live}{is this connection valid and live? (logical)}
#' \item{driver}{the name of the driver function (character)}
#' \item{conn_str}{the string used to parameterize the connection (character)}
#' \item{pool}{is this a pool connection? (logical)}
#' }
#'
#' If no connection names matched `name_str`, the tibble will be empty. If no
#' connections have been configured (e.g. `connect()` has not been called),
#' `NULL` is returned.
#'
#' @examples
#' library(sqlhelper)
#'
#' connect(
#' system.file(
#' "examples/sqlhelper_db_conf.yml",
#' package="sqlhelper"
#' ),
#' exclusive=TRUE
#' )
#'
#' connection_info()
#'
#' connection_info("pool_sqlite")
#'
#' @export
connection_info <- function(name_str = ".*", exact = TRUE){
if(length(names(connection_cache)) == 0){
return(NULL)
}
if(exact)
name_str <- paste0("^",name_str, "$")
conn_names <- stringr::str_subset(names(connection_cache),name_str)
conn_table <- tibble::tibble(
name = character(),
description = character(),
live = logical(),
default = logical(),
driver = character(),
conn_str = character(),
pool = logical()
)
for(name in conn_names){
conn_data <- connection_cache[[name]]
conn_data$live <- DBI::dbIsValid(conn_data$conn)
conn_data$conn <- NULL # as_tibble_row will complain otherwise
conn_data$name <- name
conn_data$default <- ( name == get_default_conn_name() )
# put the right cols in the right order
conn_data <-
tibble::as_tibble_row(conn_data)[names(conn_table)][1:ncol(conn_table)]
conn_table <- tibble::add_row(conn_table,conn_data)
}
conn_table
}
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