load_ssim_flights: load_ssim_flights

In ssimparser: Standard Schedules Information Parser

Description

Load multiple SSIM file, expand to flights, and return the result as a Data Frame.
In case of period overlap for a specific flight date, information from the latest file will be used,
so beware of the file order in parameter ssim_files.

Usage

load_ssim_flights(
  ssim_files = c("AFR_20201115.txt", "AFR_20201116.txt"),
  collist = get_ssim_collist(getall = FALSE),
  clean_col_names = TRUE
)

Arguments

ssim_files	List of SSIM files to load, in the correct order (from the first to load to the last file to load).
collist	List of columns that need to be present in the final Data Frame. get_ssim_collist() to get the full list.
clean_col_names	Clean column names in the final Data Frame by removing type2/type3 prefixes (TRUE/FALSE). Default TRUE.

Value

Data Frame containing the flights.

Examples

# Get 3 samples as a character vector
samples <- data.frame(sampleid = c(1:3)) %>%
 dplyr::rowwise() %>%
 dplyr::mutate(
 filename = tempfile(),
 samplestring = ssimparser::get_ssim_sample(datefrom = as.Date("2020-11-01") + (sampleid * 3),
 dateto = as.Date("2020-12-01") + (sampleid * 3),
 season = "W20",
 creadate = as.Date("2020-11-01") + sampleid)
 )
# Write the samples to tempdir
for (i in 1:3)
{
 write(samples[i,]$samplestring, samples[i,]$filename, append = FALSE)
}

# Load the 3 samples and display the total traffic per day
ssimparser::load_ssim_flights(ssim_files = samples$filename) %>%
dplyr::group_by(flight_date = as.Date(flight.flight_date)) %>%
dplyr::summarise(total_flights = dplyr::n()) %>%
dplyr::arrange(desc(flight_date))

# Unlink temp files
for (i in 1:3)
{
  unlink(samples[i,]$filename)
}

ssimparser documentation built on Jan. 12, 2022, 1:06 a.m.