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# Created by Luke A. Kanies on 2007-11-07.
# Copyright (c) 2007. All rights reserved.
require 'puppet/external/dot'
require 'puppet/relationship'
# A hopefully-faster graph class to replace the use of GRATR.
class Puppet::SimpleGraph
# An internal class for handling a vertex's edges.
class VertexWrapper
attr_accessor :in, :out, :vertex
# Remove all references to everything.
def clear
@adjacencies[:in].clear
@adjacencies[:out].clear
@vertex = nil
end
def initialize(vertex)
@vertex = vertex
@adjacencies = {:in => Hash.new { |h,k| h[k] = [] }, :out => Hash.new { |h,k| h[k] = [] }}
#@adjacencies = {:in => [], :out => []}
end
# Find adjacent vertices or edges.
def adjacent(options)
direction = options[:direction] || :out
options[:type] ||= :vertices
return @adjacencies[direction].values.flatten if options[:type] == :edges
return @adjacencies[direction].keys
end
# Add an edge to our list.
def add_edge(direction, edge)
@adjacencies[direction][other_vertex(direction, edge)] << edge
end
# Return all known edges.
def edges
[:in, :out].collect { |dir| @adjacencies[dir].values }.flatten
end
# Test whether we share an edge with a given vertex.
def has_edge?(direction, vertex)
return true if @adjacencies[direction][vertex].length > 0
return false
end
# Create methods for returning the degree and edges.
[:in, :out].each do |direction|
# LAK:NOTE If you decide to create methods for directly
# testing the degree, you'll have to get the values and flatten
# the results -- you might have duplicate edges, which can give
# a false impression of what the degree is. That's just
# as expensive as just getting the edge list, so I've decided
# to only add this method.
define_method("%s_edges" % direction) do
@adjacencies[direction].values.flatten
end
end
# The other vertex in the edge.
def other_vertex(direction, edge)
case direction
when :in: edge.source
else
edge.target
end
end
# Remove an edge from our list. Assumes that we've already checked
# that the edge is valid.
def remove_edge(direction, edge)
@adjacencies[direction][other_vertex(direction, edge)].delete(edge)
end
def to_s
vertex.to_s
end
end
def initialize
@vertices = {}
@edges = []
end
# Clear our graph.
def clear
@vertices.each { |vertex, wrapper| wrapper.clear }
@vertices.clear
@edges.clear
end
# Whether our graph is directed. Always true. Used to produce dot files.
def directed?
true
end
# Return a reversed version of this graph.
def reversal
result = self.class.new
vertices.each { |vertex| result.add_vertex(vertex) }
edges.each do |edge|
newedge = edge.class.new(edge.target, edge.source, edge.label)
result.add_edge(newedge)
end
result
end
# Return the size of the graph.
def size
@vertices.length
end
# Return the graph as an array.
def to_a
@vertices.keys
end
# Provide a topological sort.
def topsort
degree = {}
zeros = []
result = []
# Collect each of our vertices, with the number of in-edges each has.
@vertices.each do |name, wrapper|
edges = wrapper.in_edges
zeros << wrapper if edges.length == 0
degree[wrapper.vertex] = edges
end
# Iterate over each 0-degree vertex, decrementing the degree of
# each of its out-edges.
while wrapper = zeros.pop do
result << wrapper.vertex
wrapper.out_edges.each do |edge|
degree[edge.target].delete(edge)
zeros << @vertices[edge.target] if degree[edge.target].length == 0
end
end
# If we have any vertices left with non-zero in-degrees, then we've found a cycle.
if cycles = degree.find_all { |vertex, edges| edges.length > 0 } and cycles.length > 0
message = cycles.collect { |vertex, edges| edges.collect { |e| e.to_s }.join(", ") }.join(", ")
raise Puppet::Error, "Found dependency cycles in the following relationships: %s" % message
end
return result
end
# Add a new vertex to the graph.
def add_vertex(vertex)
return false if vertex?(vertex)
setup_vertex(vertex)
true # don't return the VertexWrapper instance.
end
# Remove a vertex from the graph.
def remove_vertex!(vertex)
return nil unless vertex?(vertex)
@vertices[vertex].edges.each { |edge| remove_edge!(edge) }
@vertices[vertex].clear
@vertices.delete(vertex)
end
# Test whether a given vertex is in the graph.
def vertex?(vertex)
@vertices.include?(vertex)
end
# Return a list of all vertices.
def vertices
@vertices.keys
end
# Add a new edge. The graph user has to create the edge instance,
# since they have to specify what kind of edge it is.
def add_edge(source, target = nil, label = nil)
if target
edge = Puppet::Relationship.new(source, target, label)
else
edge = source
end
[edge.source, edge.target].each { |vertex| setup_vertex(vertex) unless vertex?(vertex) }
@vertices[edge.source].add_edge :out, edge
@vertices[edge.target].add_edge :in, edge
@edges << edge
true
end
# Find a matching edge. Note that this only finds the first edge,
# not all of them or whatever.
def edge(source, target)
@edges.each_with_index { |test_edge, index| return test_edge if test_edge.source == source and test_edge.target == target }
end
def edge_label(source, target)
return nil unless edge = edge(source, target)
edge.label
end
# Is there an edge between the two vertices?
def edge?(source, target)
return false unless vertex?(source) and vertex?(target)
@vertices[source].has_edge?(:out, target)
end
def edges
@edges.dup
end
# Remove an edge from our graph.
def remove_edge!(edge)
@vertices[edge.source].remove_edge(:out, edge)
@vertices[edge.target].remove_edge(:in, edge)
# Here we are looking for an exact edge, so we don't want to use ==, because
# it's too darn expensive (in testing, deleting 3000 edges went from 6 seconds to
# 0.05 seconds with this change).
@edges.each_with_index { |test_edge, index| @edges.delete_at(index) and break if edge.equal?(test_edge) }
nil
end
# Find adjacent edges.
def adjacent(vertex, options = {})
return [] unless wrapper = @vertices[vertex]
return wrapper.adjacent(options)
end
private
# An internal method that skips the validation, so we don't have
# duplicate validation calls.
def setup_vertex(vertex)
@vertices[vertex] = VertexWrapper.new(vertex)
end
public
# # For some reason, unconnected vertices do not show up in
# # this graph.
# def to_jpg(path, name)
# gv = vertices()
# Dir.chdir(path) do
# induced_subgraph(gv).write_to_graphic_file('jpg', name)
# end
# end
def to_yaml_properties
instance_variables
end
# Just walk the tree and pass each edge.
def walk(source, direction, &block)
adjacent(source, :direction => direction).each do |target|
yield source, target
walk(target, direction, &block)
end
end
# LAK:FIXME This is just a paste of the GRATR code with slight modifications.
# Return a DOT::DOTDigraph for directed graphs or a DOT::DOTSubgraph for an
# undirected Graph. _params_ can contain any graph property specified in
# rdot.rb. If an edge or vertex label is a kind of Hash then the keys
# which match +dot+ properties will be used as well.
def to_dot_graph (params = {})
params['name'] ||= self.class.name.gsub(/:/,'_')
fontsize = params['fontsize'] ? params['fontsize'] : '8'
graph = (directed? ? DOT::DOTDigraph : DOT::DOTSubgraph).new(params)
edge_klass = directed? ? DOT::DOTDirectedEdge : DOT::DOTEdge
vertices.each do |v|
name = v.to_s
params = {'name' => '"'+name+'"',
'fontsize' => fontsize,
'label' => name}
v_label = v.to_s
params.merge!(v_label) if v_label and v_label.kind_of? Hash
graph << DOT::DOTNode.new(params)
end
edges.each do |e|
params = {'from' => '"'+ e.source.to_s + '"',
'to' => '"'+ e.target.to_s + '"',
'fontsize' => fontsize }
e_label = e.to_s
params.merge!(e_label) if e_label and e_label.kind_of? Hash
graph << edge_klass.new(params)
end
graph
end
# Output the dot format as a string
def to_dot (params={}) to_dot_graph(params).to_s; end
# Call +dotty+ for the graph which is written to the file 'graph.dot'
# in the # current directory.
def dotty (params = {}, dotfile = 'graph.dot')
File.open(dotfile, 'w') {|f| f << to_dot(params) }
system('dotty', dotfile)
end
# Use +dot+ to create a graphical representation of the graph. Returns the
# filename of the graphics file.
def write_to_graphic_file (fmt='png', dotfile='graph')
src = dotfile + '.dot'
dot = dotfile + '.' + fmt
File.open(src, 'w') {|f| f << self.to_dot << "\n"}
system( "dot -T#{fmt} #{src} -o #{dot}" )
dot
end
end
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