| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100 | #!/usr/bin/env python# Copyright (c) 2011 Google Inc. All rights reserved.# Use of this source code is governed by a BSD-style license that can be# found in the LICENSE file."""Using the JSON dumped by the dump-dependency-json generator,generate input suitable for graphviz to render a dependency graph oftargets."""import collectionsimport jsonimport sysdef ParseTarget(target):  target, _, suffix = target.partition('#')  filename, _, target = target.partition(':')  return filename, target, suffixdef LoadEdges(filename, targets):  """Load the edges map from the dump file, and filter it to only  show targets in |targets| and their depedendents."""  file = open('dump.json')  edges = json.load(file)  file.close()  # Copy out only the edges we're interested in from the full edge list.  target_edges = {}  to_visit = targets[:]  while to_visit:    src = to_visit.pop()    if src in target_edges:      continue    target_edges[src] = edges[src]    to_visit.extend(edges[src])  return target_edgesdef WriteGraph(edges):  """Print a graphviz graph to stdout.  |edges| is a map of target to a list of other targets it depends on."""  # Bucket targets by file.  files = collections.defaultdict(list)  for src, dst in edges.items():    build_file, target_name, toolset = ParseTarget(src)    files[build_file].append(src)  print 'digraph D {'  print '  fontsize=8'  # Used by subgraphs.  print '  node [fontsize=8]'  # Output nodes by file.  We must first write out each node within  # its file grouping before writing out any edges that may refer  # to those nodes.  for filename, targets in files.items():    if len(targets) == 1:      # If there's only one node for this file, simplify      # the display by making it a box without an internal node.      target = targets[0]      build_file, target_name, toolset = ParseTarget(target)      print '  "%s" [shape=box, label="%s\\n%s"]' % (target, filename,                                                     target_name)    else:      # Group multiple nodes together in a subgraph.      print '  subgraph "cluster_%s" {' % filename      print '    label = "%s"' % filename      for target in targets:        build_file, target_name, toolset = ParseTarget(target)        print '    "%s" [label="%s"]' % (target, target_name)      print '  }'  # Now that we've placed all the nodes within subgraphs, output all  # the edges between nodes.  for src, dsts in edges.items():    for dst in dsts:      print '  "%s" -> "%s"' % (src, dst)  print '}'def main():  if len(sys.argv) < 2:    print >>sys.stderr, __doc__    print >>sys.stderr    print >>sys.stderr, 'usage: %s target1 target2...' % (sys.argv[0])    return 1  edges = LoadEdges('dump.json', sys.argv[1:])  WriteGraph(edges)  return 0if __name__ == '__main__':  sys.exit(main())
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