/[cvs]/nfo/python/scripts/sixdegrees/boostgraph.py

Diff of /nfo/python/scripts/sixdegrees/boostgraph.py

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-revision 1.1 by joko,
Fri Feb  8 09:05:02 2008 UTC
+revision 1.3 by joko,
Thu Feb 21 04:46:47 2008 UTC
 Line 3
  # $Id$
  # (c) 2008 Andreas Motl <andreas.motl@ilo.de>
+ # (c) 2008 Sebastian Utz <su@rotamente.com>
  # This program is free software: you can redistribute it and/or modify
  # it under the terms of the GNU Affero General Public License as published by
-Line 23
+Line 24
  #
  # BGL-Python Homepage: http://osl.iu.edu/~dgregor/bgl-python/
  #
- # Documentation:
+ # Documentation (Boost):
- #  - http://osl.iu.edu/~dgregor/bgl-python/reference/boost.graph.html
+ #  - http://www.boost.org/libs/graph/doc/graph_theory_review.html
  #  - http://www.boost.org/libs/graph/doc/depth_first_search.html
+ #  - http://www.boost.org/boost/graph/depth_first_search.hpp
+ #  - http://www.boost.org/libs/graph/doc/DFSVisitor.html
+ #  - http://www.boost.org/libs/graph/example/dfs-example.cpp
+ #
+ # Documentation (BGL-Python):
+ #  - http://osl.iu.edu/~dgregor/bgl-python/reference/boost.graph.html
  #
  # Subversion-Repository: https://svn.osl.iu.edu/svn/projects_viz/bgl-python/
+ RANDOM_MAX_NODES = 10
+ RANDOM_MAX_CHILDREN_PER_NODE = 500
+ MAX_SEARCH_DEPTH = 50
+ ENABLE_PROFILING = False
+ if ENABLE_PROFILING:
+   import profile
+   from profile import Profile
  import sys, os
+ import random
  sys.path.append('bgl_python')
  os.environ['PATH'] += ';' + './bgl_python'
-Line 41 
 import boost.graph as bgl
+Line 61 
 import boost.graph as bgl
  # from http://www.boost.org/libs/graph/doc/DFSVisitor.html
  class tree_edges_dfs_visitor(bgl.dfs_visitor):
+ #class tree_edges_bfs_visitor(bgl.bfs_visitor):
-   def __init__(self, name_map):
+   def __init__(self, maxdepth, name_map, color_map):
+     print dir(self)
      #bgl.dfs_visitor.__init__(self)
      self.name_map = name_map
+     # for recognizing path switches
      self.state = True
+     # for tracking paths
+     self.paths = []
+     self.current_path = []
+     # for limiting search depth
+     """
+     self.color_map = color_map
+     self.maxdepth = maxdepth
+     self.depth = 0
+     """
+     self.level = 0
-   def tree_edge(self, e, g):
+   def examine_edge(self, e, g):
+     self.tree_edge2(e, g, 'examine_edge')
+   def tree_edge2(self, e, g, label='tree_edge'):
      (u, v) = (g.source(e), g.target(e))
+     # increase current search depth (level)
+     """
+     self.depth += 1
+     # check if maximum depth reached
+     if self.depth == self.maxdepth:
+       # color all succeeding vertices to black (mark as "already visited")
+       # BUG!!! marks too many nodes
+       for child_edge in g.out_edges(v):
+         end_vertex = g.target(child_edge)
+         #self.color_map[end_vertex] = bgl.Color(bgl.Color.gray)
+     """
+     if label:
+       print "%s:" % label,
      print "Tree edge ",
      print self.name_map[u],
      print " -> ",
      print self.name_map[v]
+     sys.stdout.flush()
      self.state = True
+     self.current_path.append(e)
+     #return False
    def start_vertex(self, v, g):
+     self._seperator('start_vertex')
+     #pass
      #print 'sssss'
-     self._seperator()
+   def discover_vertex(self, v, g):
+     #print '>>>'
+     self._seperator('discover_vertex')
+     #pass
    def initialize_vertex(self, v, g):
      #print '>>>'
-     self._seperator()
+     self._seperator('initialize_vertex')
+   def examine_vertex(self, v, g):
+     self._seperator('examine_vertex')
    def finish_vertex(self, v, g):
      #print '<<<'
-     self._seperator()
+     if self.current_path:
+       self.paths.append(self.current_path)
-   def _seperator(self):
+     self.current_path = []
-     if self.state:
+     self.depth = 0
-       print '-' * 21
+     self._seperator('finish_vertex')
+   def _seperator(self, label = 'unknown'):
+     if 1 or self.state:
+       print '-' * 21, label
        self.state = False
  def build_fixed_graph():
    graph = bgl.Graph()
+   index = {}
+   # doesn't this work? see http://www.nabble.com/-Graph--Getting-PageRank-to-work-in-BGL-Python-td14207115.html
    #graph.add_vertex_property_map(name='my_name', type='float')
    # 'write_graphviz' requires property 'node_id' on vertices
-Line 85 
 def build_fixed_graph():
+Line 167 
 def build_fixed_graph():
    v1 = graph.add_vertex()
    vmap[v1] = '1'
+   index['1'] = v1
    v2 = graph.add_vertex()
    vmap[v2] = '2'
+   index['2'] = v2
    v3 = graph.add_vertex()
    vmap[v3] = '3'
+   index['3'] = v3
    v4 = graph.add_vertex()
    vmap[v4] = '4'
+   index['4'] = v4
    e1 = graph.add_edge(v1, v2)
    e2 = graph.add_edge(v1, v3)
    e3 = graph.add_edge(v3, v4)
+   e4 = graph.add_edge(v1, v4)
+   #e5 = graph.add_edge(v3, v2)
+   #e6 = graph.add_edge(v2, v4)
    """
    for vertex in graph.vertices:
-Line 111 
 def build_fixed_graph():
+Line 201 
 def build_fixed_graph():
    graph.write_graphviz('friends.dot')
-   return graph
+   return (graph, index)
+ def build_random_graph():
+   graph = bgl.Graph()
+   index = {}
+   vmap = graph.vertex_property_map('string')
+   graph.vertex_properties['node_id'] = vmap
+   count = 0
+   for parent_id in range(1, RANDOM_MAX_NODES + 1):
+     count += 1
+     if count % 100 == 0:
+       sys.stderr.write('.')
+     parent_id_str = str(parent_id)
+     v1New = False
+     if not index.has_key(parent_id_str):
+       #print "adding v1:", parent_id_str
+       myVertex1 = graph.add_vertex()
+       vmap[myVertex1] = parent_id_str
+       index[parent_id_str] = myVertex1
+       v1New = True
+   count = 0
+   #for j in range(1, random.randint(1, RANDOM_MAX_CHILDREN_PER_NODE)):
+   for j in range(1, RANDOM_MAX_CHILDREN_PER_NODE):
+     count += 1
+     if count % 100 == 0:
+       sys.stderr.write('.')
+     parent_id_str = random.choice(index.keys())
+     child_id_str = parent_id_str
+     while child_id_str == parent_id_str:
+       child_id_str = random.choice(index.keys())
+       #print child_id_str
+       myVertex1 = index[parent_id_str]
+       myVertex2 = index[child_id_str]
+       graph.add_edge(myVertex1, myVertex2)
+   sys.stderr.write("\n")
+   return (graph, index)
+ def dump_track(graph, track):
+   track_ids = []
+   for node in track:
+     node_id = graph.vertex_properties['node_id'][node]
+     track_ids.append(node_id)
+   print ' -> '.join(track_ids)
+ def find_path_solutions(source, target, graph, paths):
+   print
+   print "=" * 42
+   print "find_path_solutions"
+   print "=" * 42
+   #print visitor.paths
+   #(u, v) = (g.source(e), g.target(e))
+   for path in paths:
+     startVertex = graph.source(path[0])
+     track = []
+     track.append(startVertex)
+     for edge in path:
+       endVertex = graph.target(edge)
+       track.append(endVertex)
+       if source == startVertex and target == endVertex:
+         #print "found:", track
+         dump_track(graph, track)
+ def dump_graph(graph):
+   for edge in graph.edges:
+     (u, v) = (graph.source(edge), graph.target(edge))
+     startIndex = graph.vertex_properties['node_id'][u]
+     endIndex = graph.vertex_properties['node_id'][v]
+     print "%s -> %s" % (startIndex, endIndex)
  def main():
    # Load a graph from the GraphViz file 'mst.dot'
    #graph = bgl.Graph.read_graphviz('mst.dot')
-   graph = build_fixed_graph()
+   (graph, index) = build_fixed_graph()
+   #(graph, index) = build_random_graph()
+   #dump_graph(graph)
    # Compute all paths rooted from each vertex
    #mst_edges = bgl.kruskal_minimum_spanning_tree(graph, weight)
    #bgl.depth_first_search(graph, root_vertex = None, visitor = None, color_map = None)
    for root in graph.vertices:
      print
      print '=' * 42
      print 'Paths originating from node %s' % graph.vertex_properties['node_id'][root]
-     visitor = tree_edges_dfs_visitor(graph.vertex_properties['node_id'])
+     #cmap = graph.vertex_property_map('color')
+     cmap = None
+     visitor = tree_edges_dfs_visitor(3, graph.vertex_properties['node_id'], cmap)
+     #visitor = tree_edges_bfs_visitor(3, graph.vertex_properties['node_id'], cmap)
      bgl.depth_first_search(graph, root_vertex = root, visitor = visitor, color_map = None)
+     #bgl.breadth_first_search(graph, root_vertex = root, visitor = visitor, color_map = None)
+     #find_path_solutions(index['1'], index['4'], graph, visitor.paths)
+   #sys.exit(0)
+   startIndex = random.choice(index.keys())
+   endIndex = random.choice(index.keys())
+   startIndex = '1'
+   endIndex = '4'
+   print "Trying to find solution for: %s -> %s" % (startIndex, endIndex)
+   startVertex = index[startIndex]
+   endVertex = index[endIndex]
+   def doCompute():
+     cmap = graph.vertex_property_map('color')
+     visitor = tree_edges_dfs_visitor(MAX_SEARCH_DEPTH, graph.vertex_properties['node_id'], cmap)
+     bgl.depth_first_search(graph, root_vertex = startVertex, visitor = visitor, color_map = None)
+     #bgl.depth_first_visit(graph, root_vertex = startVertex, visitor = visitor, color_map = cmap)
+     find_path_solutions(startVertex, endVertex, graph, visitor.paths)
+   if ENABLE_PROFILING:
+     global paths
+     paths = []
+     p = Profile()
+     p.runcall(doCompute)
+     p.print_stats()
+   else:
+     paths = doCompute()
    # STOP HERE
    sys.exit(0)

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