analyze-project-deps.py
7.19 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
#!/usr/bin/env python
import argparse
import itertools
import os
import re
import sys
from collections import defaultdict
from use_lldb_suite import lldb_root
parser = argparse.ArgumentParser(
description='Analyze LLDB project #include dependencies.')
parser.add_argument('--show-counts', default=False, action='store_true',
help='When true, show the number of dependencies from each subproject')
parser.add_argument('--discover-cycles', default=False, action='store_true',
help='When true, find and display all project dependency cycles. Note,'
'this option is very slow')
args = parser.parse_args()
src_dir = os.path.join(lldb_root, "source")
inc_dir = os.path.join(lldb_root, "include")
src_map = {}
include_regex = re.compile('#include \"((lldb|Plugins|clang)(.*/)+).*\"')
def is_sublist(small, big):
it = iter(big)
return all(c in it for c in small)
def normalize_host(str):
if str.startswith("lldb/Host"):
return "lldb/Host"
if str.startswith("Plugins"):
return "lldb/" + str
if str.startswith("lldb/../../source"):
return str.replace("lldb/../../source", "lldb")
return str
def scan_deps(this_dir, file):
global src_map
deps = {}
this_dir = normalize_host(this_dir)
if this_dir in src_map:
deps = src_map[this_dir]
with open(file) as f:
for line in list(f):
m = include_regex.match(line)
if m is None:
continue
relative = m.groups()[0].rstrip("/")
if relative == this_dir:
continue
relative = normalize_host(relative)
if relative in deps:
deps[relative] += 1
elif relative != this_dir:
deps[relative] = 1
if this_dir not in src_map and len(deps) > 0:
src_map[this_dir] = deps
for (base, dirs, files) in os.walk(inc_dir):
dir = os.path.basename(base)
relative = os.path.relpath(base, inc_dir)
inc_files = [x for x in files if os.path.splitext(x)[1] in [".h"]]
relative = relative.replace("\\", "/")
for inc in inc_files:
inc_path = os.path.join(base, inc)
scan_deps(relative, inc_path)
for (base, dirs, files) in os.walk(src_dir):
dir = os.path.basename(base)
relative = os.path.relpath(base, src_dir)
src_files = [x for x in files if os.path.splitext(x)[1] in [".cpp", ".h", ".mm"]]
norm_base_path = os.path.normpath(os.path.join("lldb", relative))
norm_base_path = norm_base_path.replace("\\", "/")
for src in src_files:
src_path = os.path.join(base, src)
scan_deps(norm_base_path, src_path)
pass
def is_existing_cycle(path, cycles):
# If we have a cycle like # A -> B -> C (with an implicit -> A at the end)
# then we don't just want to check for an occurrence of A -> B -> C in the
# list of known cycles, but every possible rotation of A -> B -> C. For
# example, if we previously encountered B -> C -> A (with an implicit -> B
# at the end), then A -> B -> C is also a cycle. This is an important
# optimization which reduces the search space by multiple orders of
# magnitude.
for i in range(0,len(path)):
if any(is_sublist(x, path) for x in cycles):
return True
path = [path[-1]] + path[0:-1]
return False
def expand(path_queue, path_lengths, cycles, src_map):
# We do a breadth first search, to make sure we visit all paths in order
# of ascending length. This is an important optimization to make sure that
# short cycles are discovered first, which will allow us to discard longer
# cycles which grow the search space exponentially the longer they get.
while len(path_queue) > 0:
cur_path = path_queue.pop(0)
if is_existing_cycle(cur_path, cycles):
continue
next_len = path_lengths.pop(0) + 1
last_component = cur_path[-1]
for item in src_map.get(last_component, []):
if item.startswith("clang"):
continue
if item in cur_path:
# This is a cycle. Minimize it and then check if the result is
# already in the list of cycles. Insert it (or not) and then
# exit.
new_index = cur_path.index(item)
cycle = cur_path[new_index:]
if not is_existing_cycle(cycle, cycles):
cycles.append(cycle)
continue
path_lengths.append(next_len)
path_queue.append(cur_path + [item])
pass
cycles = []
path_queue = [[x] for x in iter(src_map)]
path_lens = [1] * len(path_queue)
items = list(src_map.items())
items.sort(key = lambda A : A[0])
for (path, deps) in items:
print(path + ":")
sorted_deps = list(deps.items())
if args.show_counts:
sorted_deps.sort(key = lambda A: (A[1], A[0]))
for dep in sorted_deps:
print("\t{} [{}]".format(dep[0], dep[1]))
else:
sorted_deps.sort(key = lambda A: A[0])
for dep in sorted_deps:
print("\t{}".format(dep[0]))
def iter_cycles(cycles):
global src_map
for cycle in cycles:
cycle.append(cycle[0])
zipper = list(zip(cycle[0:-1], cycle[1:]))
result = [(x, src_map[x][y], y) for (x,y) in zipper]
total = 0
smallest = result[0][1]
for (first, value, last) in result:
total += value
smallest = min(smallest, value)
yield (total, smallest, result)
if args.discover_cycles:
print("Analyzing cycles...")
expand(path_queue, path_lens, cycles, src_map)
average = sum([len(x)+1 for x in cycles]) / len(cycles)
print("Found {} cycles. Average cycle length = {}.".format(len(cycles), average))
counted = list(iter_cycles(cycles))
if args.show_counts:
counted.sort(key = lambda A: A[0])
for (total, smallest, cycle) in counted:
sys.stdout.write("{} deps to break: ".format(total))
sys.stdout.write(cycle[0][0])
for (first, count, last) in cycle:
sys.stdout.write(" [{}->] {}".format(count, last))
sys.stdout.write("\n")
else:
for cycle in cycles:
cycle.append(cycle[0])
print(" -> ".join(cycle))
print("Analyzing islands...")
islands = []
outgoing_counts = defaultdict(int)
incoming_counts = defaultdict(int)
for (total, smallest, cycle) in counted:
for (first, count, last) in cycle:
outgoing_counts[first] += count
incoming_counts[last] += count
for cycle in cycles:
this_cycle = set(cycle)
disjoints = [x for x in islands if this_cycle.isdisjoint(x)]
overlaps = [x for x in islands if not this_cycle.isdisjoint(x)]
islands = disjoints + [set.union(this_cycle, *overlaps)]
print("Found {} disjoint cycle islands...".format(len(islands)))
for island in islands:
print("Island ({} elements)".format(len(island)))
sorted = []
for node in island:
sorted.append((node, incoming_counts[node], outgoing_counts[node]))
sorted.sort(key = lambda x: x[1]+x[2])
for (node, inc, outg) in sorted:
print(" {} [{} in, {} out]".format(node, inc, outg))
sys.stdout.flush()
pass