221 lines
7.1 KiB
R
221 lines
7.1 KiB
R
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#' @export
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#' @description Function to open connection to db, disigned to easy dubugging.
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#' @param where text mark to distingiush calss
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make_db_connection <- function(where = "") {
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if (getOption("APP.DEBUG", FALSE)) message("=== DB CONNECT ", where)
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DBI::dbConnect(RSQLite::SQLite(), getOption("APP.FILE_DB", FALSE))
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}
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#' @export
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#' @description
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#' Function to close connection to db, disigned to easy dubugging and
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#' hide warnings.
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close_db_connection <- function(con, where = "") {
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tryCatch(
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expr = DBI::dbDisconnect(con),
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error = function(e) print(e),
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warning = function(w) if (getOption("APP.DEBUG", FALSE)) message("=!= ALREADY DISCONNECTED ", where),
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finally = if (getOption("APP.DEBUG", FALSE)) message("=/= DB DISCONNECT ", where)
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)
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}
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#' @export
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#' @description
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#' Проверить если таблица есть в базе данных и инициировать ее, если от
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check_if_table_is_exist_and_init_if_not <- function(
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table_name,
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forms_id_type_list,
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con = rlang::env_get(rlang::caller_env(), nm = "con")
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) {
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if (table_name %in% DBI::dbListTables(con)) {
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cli::cli_inform(c("*" = "таблица есть такая: '{table_name}'"))
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# если таблица существует, производим проверку структуры таблицы
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compare_existing_table_with_schema(table_name, forms_id_type_list)
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} else {
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if (table_name == "main") {
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dummy_df <- dplyr::mutate(
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get_dummy_df(forms_id_type_list),
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main_key = "dummy",
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.before = 1
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)
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}
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if (table_name != "main") {
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dummy_df <- get_dummy_df(forms_id_type_list) |>
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dplyr::mutate(
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main_key = "dummy",
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nested_key = "dummy",
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.before = 1
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)
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}
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# write dummy df into base, then delete dummy row
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DBI::dbWriteTable(con, table_name, dummy_df, append = TRUE)
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DBI::dbExecute(con, glue::glue("DELETE FROM {table_name} WHERE main_key = 'dummy'"))
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cli::cli_alert_success("таблица '{table_name}' успешно создана")
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}
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}
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#' @description
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#' Возращает пустое значение для каждого типа формы
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get_dummy_data <- function(type) {
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if (type %in% c("text", "select_one", "select_multiple")) return("dummy")
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if (type %in% c("radio", "checkbox")) return("dummy")
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if (type %in% c("date")) return(as.Date("1990-01-01"))
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if (type %in% c("number")) return(as.double(999))
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cli::cli_abort("для типа формы '{type}' нет примера пустого значения!")
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}
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#' @description
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#' Генерация пустого датасета с пустыми значениями соответствующие
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#' типу данных
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get_dummy_df <- function(forms_id_type_list) {
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options(box.path = here::here())
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box::use(modules/utils)
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purrr::map(
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.x = forms_id_type_list,
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.f = utils$get_empty_data
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) |>
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dplyr::as_tibble()
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}
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#' @description
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#' Сравнение полей в существующей в базе данных таблице и попытка
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#' коррекции таблицы
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compare_existing_table_with_schema <- function(
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table_name,
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forms_id_type_list,
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con = rlang::env_get(rlang::caller_env(), nm = "con")
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) {
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forms_id_type_list_names <- names(forms_id_type_list)
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if (table_name == "main") {
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forms_id_type_list_names <- c("main_key", forms_id_type_list_names)
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} else {
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forms_id_type_list_names <- c("main_key", "nested_key", forms_id_type_list_names)
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}
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options(box.path = here::here())
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box::use(modules/utils)
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# checking if db structure in form compatible with alrady writed data (in case on changig form)
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if (identical(colnames(DBI::dbReadTable(con, table_name)), forms_id_type_list_names)) {
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# ...
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} else {
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df_to_rewrite <- DBI::dbReadTable(con, table_name)
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form_base_difference <- setdiff(forms_id_type_list_names, colnames(df_to_rewrite))
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base_form_difference <- setdiff(colnames(df_to_rewrite), forms_id_type_list_names)
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# if lengths are equal
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if (length(forms_id_type_list_names) == length(colnames(df_to_rewrite)) &&
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length(form_base_difference) == 0 &&
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length(base_form_difference) == 0) {
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cli::cli_warn("changes in scheme file detected: assuming order changed only")
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print(forms_id_type_list_names)
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}
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if (length(forms_id_type_list_names) == length(colnames(df_to_rewrite)) &&
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length(form_base_difference) != 0 &&
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length(base_form_difference) != 0) {
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cli::cli_abort("changes in scheme file detected: structure has been changed")
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}
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if (length(forms_id_type_list_names) > length(colnames(df_to_rewrite)) && length(form_base_difference) != 0) {
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cli::cli_warn("changes in scheme file detected: new inputs form was added")
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cli::cli_warn("trying to adapt database")
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# add empty data for each new input form
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for (i in form_base_difference) {
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df_to_rewrite <- df_to_rewrite |>
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dplyr::mutate(!!dplyr::sym(i) := utils$get_empty_data(forms_id_type_list[i]))
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}
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# reorder due to scheme
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df_to_rewrite <- df_to_rewrite |>
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dplyr::select(dplyr::all_of(forms_id_type_list_names))
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DBI::dbWriteTable(con, table_name, df_to_rewrite, overwrite = TRUE)
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DBI::dbExecute(con, glue::glue("DELETE FROM {table_name} WHERE main_key = 'dummy'"))
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}
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if (length(forms_id_type_list_names) < length(colnames(df_to_rewrite))) {
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cli::cli_abort("changes in scheme file detected: some of inputs form was deleted! it may cause data loss!")
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}
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}
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}
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#' @export
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write_df_to_db <- function(df, table_name, main_key, nested_key, con) {
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# if(!missing(nested_key)) del_query <- glue::glue("DELETE FROM {table_name} WHERE key = '{key}'")
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if (table_name == "main") {
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del_query <- glue::glue("DELETE FROM main WHERE main_key = '{main_key}'")
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DBI::dbExecute(con, del_query)
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}
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if (table_name != "main") {
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del_query <- glue::glue("DELETE FROM '{table_name}' WHERE main_key = '{main_key}' AND nested_key = '{nested_key}'")
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DBI::dbExecute(con, del_query)
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}
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# записать данные
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DBI::dbWriteTable(con, table_name, df, append = TRUE)
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# report
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cli::cli_alert_success("данные для '{main_key}' в таблице '{table_name}' успешно обновлены")
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}
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#' @export
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#' reading tables from db by name and id ========
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read_df_from_db_by_id <- function(table_name, main_key, nested_key, con) {
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# check if this table exist
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if (table_name == "main") {
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query <- glue::glue("
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SELECT *
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FROM main
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WHERE main_key = '{main_key}'
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")
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}
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if (table_name != "main") {
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query <- glue::glue("
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SELECT *
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FROM {table_name}
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WHERE main_key = '{main_key}' AND nested_key = '{nested_key}'
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")
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}
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DBI::dbGetQuery(con, query)
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}
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#' @export
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get_keys_from_table <- function(table_name, con) {
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DBI::dbGetQuery(con, glue::glue("SELECT DISTINCT main_key FROM {table_name}")) |>
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dplyr::pull()
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}
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#' @export
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get_nested_keys_from_table <- function(table_name, main_key, con) {
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DBI::dbGetQuery(con, glue::glue("SELECT DISTINCT nested_key FROM {table_name} WHERE main_key == '{main_key}'")) |>
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dplyr::pull()
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} |