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util-bulk.R
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## This file is part of coronet, which is free software: you
## can redistribute it and/or modify it under the terms of the GNU General
## Public License as published by the Free Software Foundation, version 2.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License along
## with this program; if not, write to the Free Software Foundation, Inc.,
## 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
##
## Copyright 2016-2017 by Claus Hunsen <[email protected]>
## Copyright 2017 by Raphael Nömmer <[email protected]>
## Copyright 2017 by Christian Hechtl <[email protected]>
## Copyright 2019 by Thomas Bock <[email protected]>
## Copyright 2021 by Niklas Schneider <[email protected]>
## Copyright 2024 by Maximilian Löffler <[email protected]>
## All Rights Reserved.
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Libraries ---------------------------------------------------------------
requireNamespace("parallel") # for parallel computation
requireNamespace("igraph") # networks
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Multi networks ----------------------------------------------------------
#' Collect the multi networks of the different Codeface ranges.
#'
#' @param project.conf the project configuration
#' @param network.conf the network configuration
#' @param step the step size of which ranges get processed (i.e., 2 means every second range)
#' [default: 1]
#'
#' @return the multi networks
collect.multi.networks = function(project.conf, network.conf, step = 1) {
## we need to iterate over all ranges
ranges = project.conf$get.value("ranges")
## subset according to given step size
ranges = ranges[seq(1, length(ranges), step)]
## collect the network objects for all the ranges
networks = lapply(ranges, function(range) {
## construct range data
range.data = RangeData$new(project.conf, range, built.from.range.data.read = TRUE)
## construct network builder
network.builder <- NetworkBuilder$new(range.data, network.conf)
## get the multi network
multi.network = network.builder$get.multi.network()
## set range attribute
multi.network = igraph::set_graph_attr(multi.network, "range", range)
attr(multi.network, "range") = range
# add to global list
return(multi.network)
})
## set names of list to range values
names(networks) = ranges
return(networks)
}
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Bipartite networks ------------------------------------------------------
#' Collect the bipartite networks of the different Codeface ranges.
#'
#' @param project.conf the project configuration
#' @param network.conf the network configuration
#' @param step the step size of which ranges get processed (i.e., 2 means every second range)
#' [default: 1]
#'
#' @return the bipartite networks
collect.bipartite.networks = function(project.conf, network.conf, step = 1) {
## we need to iterate over all ranges
ranges = project.conf$get.value("ranges")
## subset according to given step size
ranges = ranges[seq(1, length(ranges), step)]
## collect the network objects for all the ranges
networks = lapply(ranges, function(range) {
## construct range data
range.data = RangeData$new(project.conf, range, built.from.range.data.read = TRUE)
## construct network builder
network.builder <- NetworkBuilder$new(range.data, network.conf)
## get the bipartite network
bp.network = network.builder$get.bipartite.network()
## set range attribute
bp.network = igraph::set_graph_attr(bp.network, "range", range)
attr(bp.network, "range") = range
# add to global list
return(bp.network)
})
## set names of list to range values
names(networks) = ranges
return(networks)
}
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Author networks ---------------------------------------------------------
#' Collect the author networks of the different Codeface ranges.
#'
#' @param project.conf the project configuration
#' @param network.conf the network configuration
#' @param step the step size of which ranges get processed (i.e., 2 means every second range)
#' [default: 1]
#'
#' @return the author networks
collect.author.networks = function(project.conf, network.conf, step = 1) {
## we need to iterate over all ranges
ranges = project.conf$get.value("ranges")
## subset according to given step size
ranges = ranges[seq(1, length(ranges), step)]
## collect the network objects for all the ranges
networks = lapply(ranges, function(range) {
## construct range data
range.data = RangeData$new(project.conf, range, built.from.range.data.read = TRUE)
## construct network builder
network.builder <- NetworkBuilder$new(range.data, network.conf)
## get the author network
author.network = network.builder$get.author.network()
## set range attribute
author.network = igraph::set_graph_attr(author.network, "range", range)
attr(author.network, "range") = range
# add to global list
return(author.network)
})
## set names of list to range values
names(networks) = ranges
return(networks)
}
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Artifact networks -------------------------------------------------------
#' Collect the artifact networks of the different Codeface ranges.
#'
#' @param project.conf the project configuration
#' @param network.conf the network configuration
#' @param step the step size of which ranges get processed (i.e., 2 means every second range)
#' [default: 1]
#'
#' @return the artifact networks
collect.artifact.networks = function(project.conf, network.conf, step = 1) {
## we need to iterate over all ranges
ranges = project.conf$get.value("ranges")
## subset according to given step size
ranges = ranges[seq(1, length(ranges), step)]
## collect the network objects for all the ranges
networks = lapply(ranges, function(range) {
## construct range data
range.data = RangeData$new(project.conf, range, built.from.range.data.read = TRUE)
## construct network builder
network.builder <- NetworkBuilder$new(range.data, network.conf)
## get the artifact network
artifact.network = network.builder$get.artifact.network()
## set range attribute
artifact.network = igraph::set_graph_attr(artifact.network, "range", range)
attr(artifact.network, "range") = range
# add to global list
return(artifact.network)
})
## set names of list to range values
names(networks) = ranges
return(networks)
}
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Construct data ----------------------------------------------------------
#' Construct the range data for the Codeface ranges.
#'
#' @param project.conf the project configuration
#' @param callgraphs whether or not callgraph data is existing [default: FALSE]
#' @param step the step size of which ranges get processed (i.e., 2 means every second range)
#' [default: 1]
#'
#' @return the constructed data
construct.data = function(project.conf, callgraphs = FALSE, step = 1) {
## we need to iterate over all ranges
ranges = project.conf$get.value("ranges")
## subset according to given step size
ranges = ranges[seq(1, length(ranges), step)]
## collect the network objects for all the ranges
data = lapply(ranges, function(range) {
revision.callgraph = ifelse(callgraphs,
project.conf$get.callgraph.revision.from.range(range),
"")
## construct range data
range.data = RangeData$new(project.conf, range, revision.callgraph, built.from.range.data.read = TRUE)
attr(range.data, "range") = range
# add to global list
return(range.data)
})
## set names of list to range values
names(data) = ranges
return(data)
}
## / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
## Run function on list of RangeData ---------------------------------------
#' Run a given function on the list of RangeData.
#'
#' @param data the given list of RangeData
#' @param fun the function to be run
#'
#' @return the result of the function
run.lapply = function(data, fun) {
res = parallel::mclapply(data, function(dat) dat[[fun]]())
return(res)
}