###############################+
# RMx SQLite3 ####
# Separates the data to make the RMx of the given month.
###############################+
#'
#' Title of the function
#'
#' Description of the function
#'
#' @param assemb_col, repair_col: assembly and repair columns .
#' @param current_month: a \code{character} object of Month of the given RM.
#' @param data_base: A string containing the SQLite3 data_base
#' @param population_filter: A filter "WHERE" statement.
#' @param RM_size: the size, in momths, of the RM. Typically 6, 9, 12, 15, 18, 21 or 24
#' @param select_statement: A \code{character} containing a "SELECT" statement.
#' @return A \code{tibble}
#' @details Makes the RMx data set of the given month.
#' @export
#' @examples
#'
rm_data_separate_SQlite = function(
data_base = ""
, RM_size = 6
, current_month
, population_filter = NA
, select_statement = NA
, assemb_col = "assembly_date"
, repair_col = "failure_date"
){
################################################ +
## Makes the RMx data set of the given month. The fields are limited to VdBfqis style of population segregation.Returns a tibble.
# data_base: A string containing the SQLite3 data_base
# RM_size: the size, in momths, of the RM. Typically 6, 9, 12, 15, 18, 21 or 24
# current_month: a \code{character} object of Month of the given RM.
# assemb_col, repair_col: assembly and repair coluns
################################################ +
current_month = as.Date(current_month)
# -- Tranformimg date to '%Y%m' format.
RM_size = as.integer(str_extract(RM_size, patt = '[0-9]+'))
repair_upp = as.integer(format(current_month, '%Y%m'))
repair_lwr = current_month %m-% months(RM_size)
repair_lwr = as.integer(format(repair_lwr, '%Y%m'))
assemb_upp = current_month %m-% months(1) # Angelo's RM method disconsiders one month of the assembly month
assemb_upp = as.integer(format(assemb_upp, '%Y%m'))
assemb_lwr = current_month %m-% months(RM_size)
assemb_lwr = as.integer(format(assemb_lwr, '%Y%m'))
aux_query = paste(select_statement
# Date Filters
# ,'\nwhere 1 > 0\n'
, sprintf(' \n--------- Date Filters ---------
and %s >= %s
and %s <= %s
and %s >= %s
and %s <= %s'
, repair_col, repair_lwr
, repair_col, repair_upp
, assemb_col, assemb_lwr
, assemb_col, assemb_upp
)
# ,'\nand'
, population_filter
)
# print(cat(aux_query))
# print(cat('\n\n\n\n\n\n\n'))
# retreive the Data.
idata = sqldf(aux_query, dbname = data_base)
attr(idata,'query') = aux_query
return(idata)
}
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