I have a big XML file which I need to parse with xmlEventParse in R. Unfortunately on-line examples are more complex than I need, and I just want to flag a matching node tag
For others who may try to lear from M.Morgan - here is the complete code
fileName = system.file("exampleData", "mtcars.xml", package = "XML")
ourBranches <- function() {
store <- new.env()
record <- function(x, ...) {
key <- xmlAttrs(x)[["id"]]
value <- xmlValue(x)
store[[key]] <- value
}
getStore <- function() as.list(store)
list(record=record, getStore=getStore)
}
branches <- ourBranches()
xmlEventParse(fileName, list(), branches=branches)
head(branches$getStore(), 2)
The branches method does not preserve the order of the events. In other words, the order of 'record' in branches$getStore() stores is different from that in the original xml file. On the other hand, the handler methods can preserve the order. Here is the code:
fileName <- system.file("exampleData", "mtcars.xml", package="XML")
records <- new('list')
variable <- new('character')
tag.open <- new('character')
nvar <- 0
xmlEventParse(fileName, list(startElement = function (name, attrs) {
tagName <<- name
tag.open <<- c(name, tag.open)
if (length(attrs)) {
attributes(tagName) <<- as.list(attrs)
}
}, text = function (x) {
if (nchar(x) > 0) {
if (tagName == "record") {
record <- list()
record[[attributes(tagName)$id]] <- x
records <<- c(records, record)
} else {
if( tagName == 'variable') {
v <- x
variable <<- c( variable, v)
nvar <<- nvar + 1
}
}
}
}, endElement = function (name) {
if( name == 'record') {
print(paste(tag.open, collapse='>'))
}
tag.open <<- tag.open[-1]
}))
head(records,2)
$``Mazda RX4``
[1] "21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4"
$`Mazda RX4 Wag`
[1] "21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4"
variable
[1] "mpg" "cyl" "disp" "hp" "drat" "wt" "qsec" "vs" "am" "gear" "carb"
Another benefit of using handlers is that one can capture hierarchical structure. In other words, it is possible to save the ancestors as well. One of the key points of this process is the use of global variables, which can be assigned with "<<-", instead of "<-".
I'll use fileName
from example(xmlEventParse)
as a reproducible example. It has tags record
that have an attribute id
and text that we'd like to extract. Rather than use handler
, I'll go after the branches
argument. This is like a handler, but one has access to the full node rather than just the element. The idea is to write a closure that has a place to keep the data we accumulate, and a function to process each branch of the XML document we are interested in. So let's start by defining the closure -- for our purposes, a function that returns a list of functions
ourBranches <- function() {
We need a place to store the results we accumulate, choosing an environment so that the insertion times are constant (not a list, which we would have to append to and would be memory inefficient)
store <- new.env()
The event parser is expecting a list of functions to be invoked when a matching tag is discovered. We're interested in the record
tag. The function we write will receive a node of the XML document. We want to extract an element id
that we'll use to store the (text) values in the node. We add these to our store.
record <- function(x, ...) {
key <- xmlAttrs(x)[["id"]]
value <- xmlValue(x)
store[[key]] <- value
}
Once the document is processed, we'd like a convenient way to retrieve our results, so we add a function for our own purposes, independent of nodes in the document
getStore <- function() as.list(store)
and then finish the closure by returning a list of functions
list(record=record, getStore=getStore)
}
A tricky concept here is that the environment in which a function is defined is part of the function, so each time we say ourBranches()
we get a list of functions and a new environment store
to keep our results. To use, invoke xmlEventParse
on our file, with an empty set of event handlers, and access our accumulated store.
> branches <- ourBranches()
> xmlEventParse(fileName, list(), branches=branches)
list()
> head(branches$getStore(), 2)
$`Hornet Sportabout`
[1] "18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 "
$`Toyota Corolla`
[1] "33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 "