blob: eeaf43764c9f2a9c58adbdc58017e77710d39bc5 (
plain)
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
|
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import json
import subprocess
cached_functions = {}
def getMetricsJson(src_url):
if src_url.startswith("http"):
print("Fetching source for function extraction: {}".format(src_url))
metrics = subprocess.check_output(["./fetch_fn_names.sh", src_url])
else:
print("Skip fetching source: {}".format(src_url))
metrics = ""
try:
return json.loads(metrics)
except ValueError:
return {"kind": "empty", "name": "anonymous", "spaces": []}
def getSpaceFunctionsRecursive(metrics_space):
functions = []
if (
metrics_space["kind"] == "function"
and metrics_space["name"]
and metrics_space["name"] != "<anonymous>"
):
functions.append(
{
"name": metrics_space["name"],
"start_line": int(metrics_space["start_line"]),
"end_line": int(metrics_space["end_line"]),
}
)
for space in metrics_space["spaces"]:
functions += getSpaceFunctionsRecursive(space)
return functions
def getSourceFunctions(src_url):
if src_url not in cached_functions:
metrics_space = getMetricsJson(src_url)
cached_functions[src_url] = getSpaceFunctionsRecursive(metrics_space)
return cached_functions[src_url]
def getFunctionName(location):
location.replace("annotate", "raw-file")
pieces = location.split("#l")
src_url = pieces[0]
line = int(pieces[1])
closest_name = "<Unknown {}>".format(line)
closest_start = 0
functions = getSourceFunctions(src_url)
for fn in functions:
if (
fn["start_line"] > closest_start
and line >= fn["start_line"]
and line <= fn["end_line"]
):
closest_start = fn["start_line"]
closest_name = fn["name"]
return closest_name
|
