projecte_ionic/node_modules/node-gyp/gyp/tools/graphviz.py
2022-02-09 18:30:03 +01:00

104 lines
3 KiB
Python
Executable file

#!/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 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())