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# read isodat .cf file
# @param ds the data structure to fill
# @param custom reader options - none needed
iso_read_cf <- function(ds, options = list()) {
# safety checks
if(!iso_is_continuous_flow(ds))
stop("data structure must be a 'continuous_flow' iso_file", call. = FALSE)
# read binary file
ds$binary <- get_ds_file_path(ds) %>% read_binary_file()
# process file info
if(ds$read_options$file_info) {
ds <- exec_func_with_error_catch(extract_isodat_old_sequence_line_info, ds)
# NOTE: measurement info (see dxf) does not seem to be stored in cf files
ds <- exec_func_with_error_catch(extract_isodat_datetime, ds)
ds <- exec_func_with_error_catch(extract_H3_factor_info, ds)
ds <- exec_func_with_error_catch(extract_MS_integration_time_info, ds)
}
# process raw data
if (ds$read_option$raw_data) {
ds <- exec_func_with_error_catch(extract_cf_raw_voltage_data, ds)
}
# process method info
if (ds$read_options$method_info) {
ds <- exec_func_with_error_catch(
extract_isodat_reference_values, ds,
function(bin) cap_at_pos(bin, find_next_pattern(bin, re_text("Administrator"))))
ds <- exec_func_with_error_catch(extract_isodat_resistors, ds)
}
# process pre-evaluated data table
block <- start <- NULL # global vars
if (ds$read_options$vendor_data_table) {
ds <- exec_func_with_error_catch(
extract_isodat_continuous_flow_vendor_data_table, ds,
cap_at_fun = function(bin) {
C_blocks <- filter(bin$C_blocks, block == "CRawData", start >= bin$pos)
if (nrow(C_blocks) > 0) {
cap_at_next_C_block(bin, "CRawData")
} else {
cap_at_next_C_block(bin, "CErrorGridStorage")
}
})
}
return(ds)
}
# extract voltage data in cf file
extract_cf_raw_voltage_data <- function(ds) {
# move to beginning of intensity information (the larger block coming
ds$binary <- ds$binary %>%
set_binary_file_error_prefix("cannot identify measured masses") %>%
# can have data in multiple positions (e.g. if peak jumping) throughout the rest of the binary
move_to_C_block("CRawDataScanStorage", reset_cap = TRUE)
# get trace positions
gas_positions <- ds$binary %>%
find_next_patterns(re_block("fef-0"), re_block("fef-x"), re_text("Trace Data "), re_block("text"), re_null(4), re_block("stx"))
# raw_data
raw_data <- tibble::tibble()
# loop through gas positions
for (gas_pos in gas_positions) {
ds$binary <- ds$binary %>%
move_to_pos(gas_pos) %>%
skip_pos(30) %>%
capture_data("gas", "text", re_null(4), re_block("stx"))
gas_config <- ds$binary$data$gas
# data start
data_start_re <- re_combine(
re_block("stx"), re_block("fef-0"), re_block("stx"),
re_direct(".{4}", size = 4, label = ".{4}"))
ds$binary <- ds$binary %>% move_to_next_pattern(data_start_re)
data_start <- ds$binary$pos
# find all masses at end of data
data_end_re <- re_combine(
re_direct(".{2}", size = 2, label = ".{2}"), re_block("stx"),
re_block("fef-0"), re_block("stx"), re_null(4))
ds$binary <- ds$binary %>% move_to_next_pattern(data_end_re)
data_end <- ds$binary$pos - data_end_re$size
mass_re <- re_combine(re_block("fef-x"), re_text("Mass "))
mass_positions <- ds$binary %>%
cap_at_next_pattern(re_text("MS/Clock")) %>%
find_next_patterns(mass_re)
masses <- c()
for (pos in mass_positions) {
# a bit tricky to capture but this should do the trick reliably
raw_mass <-
ds$binary %>% move_to_pos(pos + mass_re$size) %>%
capture_data("mass", "raw", re_block("fef-x"), ignore_trailing_zeros = FALSE) %>%
{ .$data$mass }
text_mass <- parse_raw_data(grepRaw("^([0-9]\\x00)+", raw_mass, value = TRUE), type = "text")
masses <- c(masses, text_mass)
}
if (is.null(masses)) stop("could not identify measured ions for gas '", gas_config, "'", call. = FALSE)
masses_columns <- str_c("v", masses, ".mV")
# read in data
n_data_points <- (data_end - data_start)/(4L + length(masses) * 8L)
if (n_data_points %% 1 > 0)
stop("number of data points for ", gas_config, " is not an integer (", n_data_points, ")", call. = FALSE)
ds$binary<- ds$binary %>%
move_to_pos(data_start) %>%
capture_n_data("voltages", c("float", rep("double", length(masses))), n_data_points)
voltages <- bind_rows(ds$binary$data$voltages %>% dplyr::as_tibble() %>% rlang::set_names(c("time.s", masses_columns)))
# check for data
if (nrow(voltages) == 0)
stop("could not find raw voltage data for gas ", gas_config, call. = FALSE)
# raw data
raw_data <- dplyr::bind_rows(raw_data, voltages)
}
# add time point column
ds$raw_data <-
raw_data %>% arrange(.data$time.s) %>%
mutate(tp = 1:n()) %>%
select(.data$tp, .data$time.s, everything())
return(ds)
}
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