#' downloadIndiaAPY
#'
#' Function to download data from https://eands.dacnet.nic.in/APY_96_To_07.htm.
#' Best used in combination with the madrat package.
#'
#' @importFrom utils download.file
#'
#' @author Anastasis Giannousakis
#' @examples
#' \dontrun{ madrat::downloadSource(type="IndiaAPY") }
downloadIndiaAPY <- function() {
durl <- "http://eands.dacnet.nic.in/"
years <- c("APY_state_data/Apy-1966-76/Foodgrains/", "Archive/Year76-86/", "10-Year-1985-96/")
b <- suppressWarnings(readLines("http://eands.dacnet.nic.in/StateData_66-76Year.htm"))
crops <- gsub("\\..*.", "", gsub(".*.Foodgrains/", "", grep("APY.*.Food.*.xls", b, value = TRUE))) # extract filenames
crops <- grep(" |Summary", crops, value = TRUE, invert = TRUE) # keep only single names (the rest are not relevant)
for (i in crops) {
for (j in years) {
for (k in c(".xls", ".xlsx")) {
suppressWarnings(try(download.file(paste0(durl, j, i, k), mode = "wb", destfile = paste0(gsub("/|[a-z,A-Z]", "", j), i, k)),silent = TRUE))
}
}
}
suppressWarnings(try(download.file("http://eands.dacnet.nic.in/PDF/foodgrain-5_years.xls",mode = "wb",destfile = "allfood1996-2013.xls")))
suppressWarnings(try(download.file("http://eands.dacnet.nic.in/PDF/5-Year%20Foodgrain%202018-19.xls",mode = "wb",destfile = "allfood2014-2018.xls")))
writeLines(crops,con = "crops.txt")
meta <- list(url=durl,
title="Data on Area, Production and Yield of Major Crops",
description = "Data on Area, Production and Yield of major crops in India from the Ministry of Agriculture and Farmers Welfare",
unit = "various")
return(list(url = meta$url,
title = meta$title,
author = "Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare, Govt. of India",
description = meta$description,
unit = meta$unit,
license = "unknown"))
}
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