1
0
mirror of https://github.com/kellyjonbrazil/jc.git synced 2025-06-17 00:07:37 +02:00
Files
jc/jc/parsers/proc_diskstats.py
Kelly Brazil e4e07b76ec doc update
2022-09-15 16:57:45 -07:00

249 lines
6.9 KiB
Python

"""jc - JSON Convert `/proc/diskstats` file parser
Usage (cli):
$ cat /proc/diskstats | jc --proc
or
$ jc /proc/diskstats
or
$ cat /proc/diskstats | jc --proc-diskstats
Usage (module):
import jc
result = jc.parse('proc', proc_diskstats_file)
or
import jc
result = jc.parse('proc_diskstats', proc_diskstats_file)
Schema:
[
{
"maj": integer,
"min": integer,
"device": string,
"reads_completed": integer,
"reads_merged": integer,
"sectors_read": integer,
"read_time_ms": integer,
"writes_completed": integer,
"writes_merged": integer,
"sectors_written": integer,
"write_time_ms": integer,
"io_in_progress": integer,
"io_time_ms": integer,
"weighted_io_time_ms": integer,
"discards_completed_successfully": integer,
"discards_merged": integer,
"sectors_discarded": integer,
"discarding_time_ms": integer,
"flush_requests_completed_successfully": integer,
"flushing_time_ms": integer
}
]
Examples:
$ cat /proc/diskstats | jc --proc -p
[
{
"maj": 7,
"min": 0,
"device": "loop0",
"reads_completed": 48,
"reads_merged": 0,
"sectors_read": 718,
"read_time_ms": 19,
"writes_completed": 0,
"writes_merged": 0,
"sectors_written": 0,
"write_time_ms": 0,
"io_in_progress": 0,
"io_time_ms": 36,
"weighted_io_time_ms": 19,
"discards_completed_successfully": 0,
"discards_merged": 0,
"sectors_discarded": 0,
"discarding_time_ms": 0,
"flush_requests_completed_successfully": 0,
"flushing_time_ms": 0
},
{
"maj": 7,
"min": 1,
"device": "loop1",
"reads_completed": 41,
"reads_merged": 0,
"sectors_read": 688,
"read_time_ms": 17,
"writes_completed": 0,
"writes_merged": 0,
"sectors_written": 0,
"write_time_ms": 0,
"io_in_progress": 0,
"io_time_ms": 28,
"weighted_io_time_ms": 17,
"discards_completed_successfully": 0,
"discards_merged": 0,
"sectors_discarded": 0,
"discarding_time_ms": 0,
"flush_requests_completed_successfully": 0,
"flushing_time_ms": 0
},
...
]
$ cat /proc/diskstats | jc --proc_diskstats -p -r
[
{
"maj": "7",
"min": "0",
"device": "loop0",
"reads_completed": "48",
"reads_merged": "0",
"sectors_read": "718",
"read_time_ms": "19",
"writes_completed": "0",
"writes_merged": "0",
"sectors_written": "0",
"write_time_ms": "0",
"io_in_progress": "0",
"io_time_ms": "36",
"weighted_io_time_ms": "19",
"discards_completed_successfully": "0",
"discards_merged": "0",
"sectors_discarded": "0",
"discarding_time_ms": "0",
"flush_requests_completed_successfully": "0",
"flushing_time_ms": "0"
},
{
"maj": "7",
"min": "1",
"device": "loop1",
"reads_completed": "41",
"reads_merged": "0",
"sectors_read": "688",
"read_time_ms": "17",
"writes_completed": "0",
"writes_merged": "0",
"sectors_written": "0",
"write_time_ms": "0",
"io_in_progress": "0",
"io_time_ms": "28",
"weighted_io_time_ms": "17",
"discards_completed_successfully": "0",
"discards_merged": "0",
"sectors_discarded": "0",
"discarding_time_ms": "0",
"flush_requests_completed_successfully": "0",
"flushing_time_ms": "0"
},
{
"maj": "7",
"min": "2",
"device": "loop2",
"reads_completed": "119",
"reads_merged": "0",
"sectors_read": "2956",
"read_time_ms": "18",
"writes_completed": "0",
"writes_merged": "0",
"sectors_written": "0",
"write_time_ms": "0",
"io_in_progress": "0",
"io_time_ms": "56",
"weighted_io_time_ms": "18",
"discards_completed_successfully": "0",
"discards_merged": "0",
"sectors_discarded": "0",
"discarding_time_ms": "0",
"flush_requests_completed_successfully": "0",
"flushing_time_ms": "0"
},
...
]
"""
from typing import List, Dict
import jc.utils
from jc.parsers.universal import simple_table_parse
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.0'
description = '`/proc/diskstats` 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.
"""
for entry in proc_data:
for key in entry:
if key != 'device':
entry[key] = 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):
header = (
'maj min device reads_completed reads_merged sectors_read read_time_ms '
'writes_completed writes_merged sectors_written write_time_ms io_in_progress '
'io_time_ms weighted_io_time_ms discards_completed_successfully discards_merged '
'sectors_discarded discarding_time_ms flush_requests_completed_successfully '
'flushing_time_ms\n'
)
data = header + data
cleandata = filter(None, data.splitlines())
raw_output = simple_table_parse(cleandata)
return raw_output if raw else _process(raw_output)