# Created by Luke A. Kanies on 2007-11-07. # Copyright (c) 2007. All rights reserved. require 'puppet/external/dot' require 'puppet/relationship' require 'set' # 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 => {}, :out => {}} end # Find adjacent vertices or edges. def adjacent(options) direction = options[:direction] || :out options[:type] ||= :vertices return send(direction.to_s + "_edges") if options[:type] == :edges @adjacencies[direction].keys.reject { |vertex| @adjacencies[direction][vertex].empty? } end # Add an edge to our list. def add_edge(direction, edge) opposite_adjacencies(direction, edge) << edge end # Return all known edges. def edges in_edges + out_edges end # Test whether we share an edge with a given vertex. def has_edge?(direction, vertex) return(vertex_adjacencies(direction, vertex).length > 0 ? true : 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("#{direction}_edges") do @adjacencies[direction].values.inject([]) { |total, adjacent| total += adjacent.to_a; total } 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) opposite_adjacencies(direction, edge).delete(edge) end def to_s vertex.to_s end private # These methods exist so we don't need a Hash with a default proc. # Look up the adjacencies for a vertex at the other end of an # edge. def opposite_adjacencies(direction, edge) opposite_vertex = other_vertex(direction, edge) vertex_adjacencies(direction, opposite_vertex) end # Look up the adjacencies for a given vertex. def vertex_adjacencies(direction, vertex) @adjacencies[direction][vertex] ||= Set.new @adjacencies[direction][vertex] end end def initialize @vertices = {} @edges = [] end # Clear our graph. def clear @vertices.each { |vertex, wrapper| wrapper.clear } @vertices.clear @edges.clear end # Which resources a given resource depends upon. def dependents(resource) tree_from_vertex(resource).keys end # Which resources depend upon the given resource. def dependencies(resource) # Cache the reversal graph, because it's somewhat expensive # to create. @reversal ||= reversal # Strangely, it's significantly faster to search a reversed # tree in the :out direction than to search a normal tree # in the :in direction. @reversal.tree_from_vertex(resource, :out).keys end # Whether our graph is directed. Always true. Used to produce dot files. def directed? true end # Determine all of the leaf nodes below a given vertex. def leaves(vertex, direction = :out) tree = tree_from_vertex(vertex, direction) l = tree.keys.find_all { |c| adjacent(c, :direction => direction).empty? } end # Collect all of the edges that the passed events match. Returns # an array of edges. def matching_edges(event, base = nil) source = base || event.resource unless vertex?(source) Puppet.warning "Got an event from invalid vertex #{source.ref}" return [] end # Get all of the edges that this vertex should forward events # to, which is the same thing as saying all edges directly below # This vertex in the graph. adjacent(source, :direction => :out, :type => :edges).find_all do |edge| edge.match?(event.name) end 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 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: #{message}; try using the '--graph' option and open the '.dot' files in OmniGraffle or GraphViz" end result end # Add a new vertex to the graph. def add_vertex(vertex) @reversal = nil 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) } @edges -= @vertices[vertex].edges @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) @reversal = 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) @edges.delete(edge) nil end # Find adjacent edges. def adjacent(vertex, options = {}) return [] unless wrapper = @vertices[vertex] 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 # Take container information from another graph and use it # to replace any container vertices with their respective leaves. # This creates direct relationships where there were previously # indirect relationships through the containers. def splice!(other, type) # We have to get the container list via a topological sort on the # configuration graph, because otherwise containers that contain # other containers will add those containers back into the # graph. We could get a similar affect by only setting relationships # to container leaves, but that would result in many more # relationships. stage_class = Puppet::Type.type(:stage) whit_class = Puppet::Type.type(:whit) containers = other.topsort.find_all { |v| (v.is_a?(type) or v.is_a?(stage_class)) and vertex?(v) } containers.each do |container| # Get the list of children from the other graph. children = other.adjacent(container, :direction => :out) # MQR TODO: Luke suggests that it should be possible to refactor the system so that # container nodes are retained, thus obviating the need for the whit. children = [whit_class.new(:name => container.name, :catalog => other)] if children.empty? # First create new edges for each of the :in edges [:in, :out].each do |dir| edges = adjacent(container, :direction => dir, :type => :edges) edges.each do |edge| children.each do |child| if dir == :in s = edge.source t = child else s = child t = edge.target end add_edge(s, t, edge.label) end # Now get rid of the edge, so remove_vertex! works correctly. remove_edge!(edge) end end remove_vertex!(container) end end # Just walk the tree and pass each edge. def walk(source, direction) # Use an iterative, breadth-first traversal of the graph. One could do # this recursively, but Ruby's slow function calls and even slower # recursion make the shorter, recursive algorithm cost-prohibitive. stack = [source] seen = Set.new until stack.empty? node = stack.shift next if seen.member? node connected = adjacent(node, :direction => direction) connected.each do |target| yield node, target end stack.concat(connected) seen << node end end # A different way of walking a tree, and a much faster way than the # one that comes with GRATR. def tree_from_vertex(start, direction = :out) predecessor={} walk(start, direction) do |parent, child| predecessor[child] = parent end predecessor 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 # Produce the graph files if requested. def write_graph(name) return unless Puppet[:graph] Puppet.settings.use(:graphing) file = File.join(Puppet[:graphdir], "#{name}.dot") File.open(file, "w") { |f| f.puts to_dot("name" => name.to_s.capitalize) } end end