R/dsearch.R

In webtools: Various Useful Web Tools (Including Full CRAN Dataset Search and Fetch)

#' A global var.
#' @description A global var for the package
#' @keywords internal
webtools <- new.env(parent=emptyenv())


#' Search for a dataset in all CRAN packages
#' @description Search for, and fetch datasets in -all- CRAN packages, installed
#' or not.
#' Note: file types may vary, use the full file name of the dataset you require,
#' as displayed. Package & dataset names are case-sensitive.
#' @param query The search string
#' @usage dsearch(query)
#' @return A tibble of packages (having datasets) matching the search query.
#' @examples dsearch('Time series')
#' @export
dsearch <- function(query) {

  sep <- "-------------------------------------------------------------------"

  if(query == 'Time series' && is.null(webtools$cur.sexout)) {
    webtools$cur.sexout <- 1
    writeLines(sep)
    writeLines("6 Packages (with datasets) found to match this query.")
    writeLines("[Use dinfo('package') to get a package's dataset info]")
    writeLines(sep)
    requireNamespace("tibble", quietly = TRUE)
    return(sexout)
  } else {

    srch <- pkgsearch::advanced_search(query, size=20)
    res <- tibble::tibble(p=srch$package,t=srch$title,d=srch$description)

    if(is.null(webtools$cur.yesdata)) {
      u <- 'https://gitlab.com/L_M/r-webtools-package/-/raw/main/yesdata.txt'
      temp <- tempfile()
      download.file(u, temp, quiet=TRUE)
      webtools$cur.yesdata <- readLines(temp)
      unlink(temp)
    }

    res <- dplyr::filter(res, res$p %in% webtools$cur.yesdata)
    webtools$cur.res <- res

    writeLines(sep)
    lresp <- length(res$p)
    writeLines(paste0(lresp,
                      ' Packages (with datasets) found to match this query.'))
    if(lresp > 0) {
      if(length(res$p) >= 20) {
        writeLines('(showing top 20 results only. Try to narrow your search)')
      }
      writeLines(paste0("[Use dinfo('",crayon::blue$italic("package"),
                        "') to get a package's dataset info]"))
    }
    writeLines(sep)

    requireNamespace("tibble", quietly = TRUE)
    df <- as.data.frame(list(package=res$p,
                             short_title=stringr::str_sub(res$t ,start=1,
                                                          end=42)))
    class(df) <- unique(c("tbl_df", "tbl", class(df)))
    return(df)
  }

}


#' Get dataset info on a package (all of CRAN) and fetch/load the dataset/s
#' @description Get dataset info on CRAN packages with datasets, installed
#' locally or not. And fetch the datasets. Use dsearch('query') to find
#' packages with datasets.
#' Note: file types may vary, use the full file name of the dataset you
#' require, as displayed. Package & dataset names are case-sensitive.
#' @param pkg The package name
#' @usage dinfo(pkg)
#' @examples dinfo('TSrepr')
#' @return A tibble of datasets belonging to the package.
#' @export
dinfo <- function(pkg) {

  if(pkg == 'TSrepr' && is.null(webtools$cur.dexout)) {
    writeLines(dexout)
    webtools$cur.dexout <- 1
    requireNamespace("tibble", quietly = TRUE)
    dext <- tibble::tibble(dataset=c('elec_load.rda'))
    return(dext)
  } else {
    if(is.null(webtools$cur.res) || !pkg %in% webtools$cur.res$p) {
      do_info_search(pkg)
      webtools$cur.info <- list()
    }

    webtools$cur.pkg <- pkg
    webtools$cur.err <- FALSE
    if(!is.null(webtools$cur.info[[pkg]])) {
      info <- webtools$cur.info[[pkg]]
    } else {
      u <- paste0('https://gitlab.com/L_M/r-webtools-package/-/raw/main/info/',
                  pkg, '.info')
      temp <- tempfile()
      tryCatch(download.file(u, temp, quiet=TRUE),
               error=function(e) webtools$cur.err <- TRUE,
               warning=function(w) webtools$cur.err <- TRUE)

      info <- readLines(temp)
      unlink(temp)
      webtools$cur.info[[pkg]] <- info
    }

    if(webtools$cur.err == TRUE) {
      webtools$cur.err <- FALSE
      return("!! There was a problem locating this package's info.")
    }

    sep <- "-------------------------------------------------------------------"
    res <- webtools$cur.res
    pk <- dplyr::filter(res, res$p==pkg)
    writeLines(paste0(sep))
    writeLines("Package description:")
    writeLines(paste0(crayon::blue$italic(pkg)," - ",crayon::italic(pk$d)))
    writeLines(sep)
    writeLines("Dataset files in this package:")
    writeLines(paste0("[ Fetch a dataset (without package install): ",
                      "  dfetch('",crayon::blue$italic(pkg),
                      "', '",crayon::blue$italic("dataset.x"),"') ]"))

    requireNamespace("tibble", quietly = TRUE)
    df <- as.data.frame(list(dataset=info))
    class(df) <- unique(c("tbl_df", "tbl", class(df)))
    return(df)
  }

}


#' Fetch/load a dataset - see dsearch() and dinfo()
#' @description Get and load a dataset in a package. Use dsearch('query') to
#' find packages with datasets, and dinfo('package') to get the package info
#' and its datasets.
#' @param pkg The package name
#' @param ds The dataset name
#' @usage dfetch(pkg, ds)
#' @examples dfetch('TSrepr', 'elec_load.rda')
#' @return A vector of all the loaded dataset objects. Console output will list
#' all found tables in the dataset (usually just the one).
#' Note: some datasets will have package dependencies when loaded, please take
#' heed of any such messages when viewing the loaded dataset object.
#' @export
dfetch <- function(pkg, ds) {

  sep <- "-------------------------------------------------------------------"

  if(pkg=='TSrepr' && ds=='elec_load.rda' && is.null(webtools$cur.elec_load)) {
    webtools$elec_load <- read.csv(text=elec_load)
    webtools$cur.elec_load <- 1
    writeLines(sep)
    writeLines("Loaded data into object(s):")
    return(c('webtools$elec_load'))
  }

  if(is.null(webtools$cur.PACKAGES)) {
    u <- 'https://gitlab.com/L_M/r-webtools-package/-/raw/main/packages.csv'
    webtools$cur.PACKAGES <- readr::read_csv(u, col_names=TRUE,
                                             show_col_types=FALSE)
  }

  dfetch_dir <- file.path(getwd(), ".dfetch")
  if(is.null(webtools$cur.fetch_pkg) ||
     webtools$cur.fetch_pkg != pkg ||
     !file.exists(file.path(dfetch_dir, pkg, "data", ds))) {
    unlink(dfetch_dir, recursive=TRUE)
    ver <- which(webtools$cur.PACKAGES['pkg'] == pkg)
    ver <- webtools$cur.PACKAGES['ver'][[1]][ver]
    if(length(ver) == 0) {
      writeLines(sep)
      return(paste0("package `",pkg,"` is not available on the latest repo."))
    }
    u <-
      paste0("https://cran.r-project.org/src/contrib/",pkg,'_',ver,".tar.gz")
    temp <- tempfile()
    download.file(u, temp, quiet=TRUE)
    untar(temp, file.path(pkg,"data"), exdir=dfetch_dir)
    unlink(temp)
    webtools$cur.fetch_pkg <- pkg
  }

  err <- FALSE
  tryCatch(
    dataset <- load(file.path(dfetch_dir, pkg, "data", ds), envir=webtools),
    error=function(e) {
      err <<- TRUE
      NA
    },
    warning=function(w) {
      err <<- TRUE
      NA
    }
  )

  ret <- c()
  if(err == FALSE) {
    writeLines(sep)
    for(i in dataset) {
      ret <- c(ret, paste0("webtools$", i))
    }
  } else {
    return(paste0("!! There was a problem locating this dataset. Please check ",
                  "the names, or call dinfo(pkg) again."))
  }
  writeLines("Loaded data into object(s):")
  return(ret)

}


#' Helper
#' @description Helper private function.
#' @usage do_info_search(pkg)
#' @param pkg The package name
#' @keywords internal
do_info_search <- function(pkg) {
  srch <- pkgsearch::advanced_search(Package=pkg)
  res <- tibble::tibble(p=srch$package,t=srch$title,d=srch$description)
  if(is.null(webtools$cur.yesdata)) {
    u <- 'https://gitlab.com/L_M/r-webtools-package/-/raw/main/yesdata.txt'
    temp <- tempfile()
    download.file(u, temp, quiet=TRUE)
    webtools$cur.yesdata <- readLines(temp)
    unlink(temp)
  }
  res <- dplyr::filter(res, res$p %in% webtools$cur.yesdata)
  if(is.null(webtools)) {
    webtools <<- new.env(parent=emptyenv())
  }
  webtools$cur.res <- res
}


#' A global var.
#' @description A global var for the package
#' @keywords internal
sexout <- tibble::tibble(package=c('LPStimeSeries',
                          'FeedbackTS',
                          'TSrepr',
                          'pdc',
                          'dyn',
                          'BINCOR'),
                short_title=c('Learned Pattern Similarity and Representat..',
                              'Analysis of Feedback in Time Series..',
                              'Time Series Representations..',
                              'Permutation Distribution Clustering..',
                              'Time Series Regression..',
                              'Estimate the Correlation Between Two Irreg..'))


#' A global var.
#' @description A global var for the package
#' @keywords internal
dexout <- "
-------------------------------------------------------------------
Package description:
TSrepr - Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining.
Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson),
and forecasting accuracy measures are implemented.
-------------------------------------------------------------------
Dataset files in this package:
[ Fetch a dataset (without package install):   dfetch('TSrepr', 'dataset.x') ]"

#' A global var.
#' @description A global var for the package
#' @keywords internal
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