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jc/jc/parsers/proc_pid_mountinfo.py
2022-09-19 19:26:08 -07:00

191 lines
4.1 KiB
Python

"""jc - JSON Convert `/proc/<pid>/mountinfo` file parser
Usage (cli):
$ cat /proc/1/mountinfo | jc --proc
or
$ jc /proc/1/mountinfo
or
$ cat /proc/1/mountinfo | jc --proc-pid-mountinfo
Usage (module):
import jc
result = jc.parse('proc', proc_pid_mountinfo_file)
or
import jc
result = jc.parse('proc_pid_mountinfo', proc_pid_mountinfo_file)
Schema:
[
{
"module": string,
"size": integer,
"used": integer,
"used_by": [
string
],
"status": string,
"location": string
}
]
Examples:
$ cat /proc/1/mountinfo | jc --proc -p
[
{
"module": "binfmt_misc",
"size": 24576,
"used": 1,
"used_by": [],
"status": "Live",
"location": "0xffffffffc0ab4000"
},
{
"module": "vsock_loopback",
"size": 16384,
"used": 0,
"used_by": [],
"status": "Live",
"location": "0xffffffffc0a14000"
},
{
"module": "vmw_vsock_virtio_transport_common",
"size": 36864,
"used": 1,
"used_by": [
"vsock_loopback"
],
"status": "Live",
"location": "0xffffffffc0a03000"
},
...
]
$ cat /proc/1/mountinfo | jc --proc_pid-mountinfo -p -r
[
{
"module": "binfmt_misc",
"size": "24576",
"used": "1",
"used_by": [],
"status": "Live",
"location": "0xffffffffc0ab4000"
},
{
"module": "vsock_loopback",
"size": "16384",
"used": "0",
"used_by": [],
"status": "Live",
"location": "0xffffffffc0a14000"
},
{
"module": "vmw_vsock_virtio_transport_common",
"size": "36864",
"used": "1",
"used_by": [
"vsock_loopback"
],
"status": "Live",
"location": "0xffffffffc0a03000"
},
...
]
"""
import re
from typing import List, Dict
import jc.utils
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.0'
description = '`/proc/<pid>/mountinfo` file parser'
author = 'Kelly Brazil'
author_email = 'kellyjonbrazil@gmail.com'
compatible = ['linux']
hidden = True
__version__ = info.version
def _process(proc_data: List[Dict]) -> List[Dict]:
"""
Final processing to conform to the schema.
Parameters:
proc_data: (List of Dictionaries) raw structured data to process
Returns:
List of Dictionaries. Structured to conform to the schema.
"""
int_list = {'size', 'used'}
for entry in proc_data:
for key in entry:
if key in int_list:
entry[key] = jc.utils.convert_to_int(entry[key])
return proc_data
def parse(
data: str,
raw: bool = False,
quiet: bool = False
) -> List[Dict]:
"""
Main text parsing function
Parameters:
data: (string) text data to parse
raw: (boolean) unprocessed output if True
quiet: (boolean) suppress warning messages if True
Returns:
List of Dictionaries. Raw or processed structured data.
"""
jc.utils.compatibility(__name__, info.compatible, quiet)
jc.utils.input_type_check(data)
raw_output: List = []
if jc.utils.has_data(data):
line_pattern = re.compile(r'''
^(?P<mount_id>\d+)\s
(?P<parent_id>\d+)\s
(?P<maj>\d+):
(?P<min>\d+)\s
(?P<root>\S+)\s
(?P<mount_point>\S+)\s
(?P<mount_options>\S+)\s?
(?P<optional_fields>(?:\s?\S+:\S+\s?)*)\s?-\s
(?P<fs_type>\S+)\s
(?P<mount_source>\S+)\s
(?P<super_options>\S+)
''', re.VERBOSE
)
for line in filter(None, data.splitlines()):
line_match = line_pattern.search(line)
if line_match:
raw_output.append(line_match.groupdict())
return raw_output if raw else _process(raw_output)