#! /usr/bin/python2

# 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 of
targets."""

from __future__ import print_function

import collections
import json
import sys


def ParseTarget(target):
  target, _, suffix = target.partition('#')
  filename, _, target = target.partition(':')
  return filename, target, suffix


def 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_edges


def 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(__doc__, file=sys.stderr)
    print(file=sys.stderr)
    print('usage: %s target1 target2...' % (sys.argv[0]), file=sys.stderr)
    return 1

  edges = LoadEdges('dump.json', sys.argv[1:])

  WriteGraph(edges)
  return 0


if __name__ == '__main__':
  sys.exit(main())
