mirror of
https://github.com/kellyjonbrazil/jc.git
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249 lines
6.9 KiB
Python
249 lines
6.9 KiB
Python
"""jc - JSON Convert `/proc/diskstats` file parser
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Usage (cli):
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$ cat /proc/diskstats | jc --proc
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or
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$ jc /proc/diskstats
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or
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$ cat /proc/diskstats | jc --proc-diskstats
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Usage (module):
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import jc
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result = jc.parse('proc', proc_diskstats_file)
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or
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import jc
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result = jc.parse('proc_diskstats', proc_diskstats_file)
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Schema:
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[
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{
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"maj": integer,
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"min": integer,
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"device": string,
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"reads_completed": integer,
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"reads_merged": integer,
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"sectors_read": integer,
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"read_time_ms": integer,
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"writes_completed": integer,
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"writes_merged": integer,
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"sectors_written": integer,
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"write_time_ms": integer,
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"io_in_progress": integer,
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"io_time_ms": integer,
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"weighted_io_time_ms": integer,
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"discards_completed_successfully": integer,
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"discards_merged": integer,
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"sectors_discarded": integer,
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"discarding_time_ms": integer,
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"flush_requests_completed_successfully": integer,
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"flushing_time_ms": integer
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}
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]
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Examples:
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$ cat /proc/diskstats | jc --proc -p
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[
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{
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"maj": 7,
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"min": 0,
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"device": "loop0",
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"reads_completed": 48,
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"reads_merged": 0,
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"sectors_read": 718,
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"read_time_ms": 19,
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"writes_completed": 0,
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"writes_merged": 0,
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"sectors_written": 0,
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"write_time_ms": 0,
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"io_in_progress": 0,
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"io_time_ms": 36,
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"weighted_io_time_ms": 19,
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"discards_completed_successfully": 0,
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"discards_merged": 0,
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"sectors_discarded": 0,
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"discarding_time_ms": 0,
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"flush_requests_completed_successfully": 0,
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"flushing_time_ms": 0
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},
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{
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"maj": 7,
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"min": 1,
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"device": "loop1",
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"reads_completed": 41,
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"reads_merged": 0,
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"sectors_read": 688,
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"read_time_ms": 17,
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"writes_completed": 0,
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"writes_merged": 0,
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"sectors_written": 0,
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"write_time_ms": 0,
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"io_in_progress": 0,
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"io_time_ms": 28,
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"weighted_io_time_ms": 17,
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"discards_completed_successfully": 0,
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"discards_merged": 0,
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"sectors_discarded": 0,
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"discarding_time_ms": 0,
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"flush_requests_completed_successfully": 0,
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"flushing_time_ms": 0
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},
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...
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]
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$ cat /proc/diskstats | jc --proc_diskstats -p -r
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[
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{
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"maj": "7",
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"min": "0",
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"device": "loop0",
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"reads_completed": "48",
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"reads_merged": "0",
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"sectors_read": "718",
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"read_time_ms": "19",
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"writes_completed": "0",
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"writes_merged": "0",
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"sectors_written": "0",
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"write_time_ms": "0",
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"io_in_progress": "0",
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"io_time_ms": "36",
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"weighted_io_time_ms": "19",
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"discards_completed_successfully": "0",
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"discards_merged": "0",
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"sectors_discarded": "0",
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"discarding_time_ms": "0",
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"flush_requests_completed_successfully": "0",
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"flushing_time_ms": "0"
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},
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{
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"maj": "7",
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"min": "1",
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"device": "loop1",
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"reads_completed": "41",
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"reads_merged": "0",
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"sectors_read": "688",
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"read_time_ms": "17",
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"writes_completed": "0",
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"writes_merged": "0",
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"sectors_written": "0",
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"write_time_ms": "0",
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"io_in_progress": "0",
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"io_time_ms": "28",
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"weighted_io_time_ms": "17",
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"discards_completed_successfully": "0",
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"discards_merged": "0",
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"sectors_discarded": "0",
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"discarding_time_ms": "0",
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"flush_requests_completed_successfully": "0",
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"flushing_time_ms": "0"
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},
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{
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"maj": "7",
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"min": "2",
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"device": "loop2",
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"reads_completed": "119",
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"reads_merged": "0",
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"sectors_read": "2956",
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"read_time_ms": "18",
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"writes_completed": "0",
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"writes_merged": "0",
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"sectors_written": "0",
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"write_time_ms": "0",
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"io_in_progress": "0",
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"io_time_ms": "56",
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"weighted_io_time_ms": "18",
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"discards_completed_successfully": "0",
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"discards_merged": "0",
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"sectors_discarded": "0",
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"discarding_time_ms": "0",
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"flush_requests_completed_successfully": "0",
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"flushing_time_ms": "0"
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},
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...
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]
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"""
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from typing import List, Dict
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import jc.utils
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from jc.parsers.universal import simple_table_parse
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class info():
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"""Provides parser metadata (version, author, etc.)"""
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version = '1.0'
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description = '`/proc/diskstats` file parser'
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author = 'Kelly Brazil'
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author_email = 'kellyjonbrazil@gmail.com'
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compatible = ['linux']
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hidden = True
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__version__ = info.version
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def _process(proc_data: List[Dict]) -> List[Dict]:
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"""
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Final processing to conform to the schema.
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Parameters:
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proc_data: (List of Dictionaries) raw structured data to process
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Returns:
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List of Dictionaries. Structured to conform to the schema.
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"""
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for entry in proc_data:
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for key in entry:
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if key != 'device':
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entry[key] = int(entry[key])
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return proc_data
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def parse(
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data: str,
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raw: bool = False,
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quiet: bool = False
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) -> List[Dict]:
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"""
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Main text parsing function
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Parameters:
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data: (string) text data to parse
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raw: (boolean) unprocessed output if True
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quiet: (boolean) suppress warning messages if True
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Returns:
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List of Dictionaries. Raw or processed structured data.
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"""
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jc.utils.compatibility(__name__, info.compatible, quiet)
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jc.utils.input_type_check(data)
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raw_output: List = []
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if jc.utils.has_data(data):
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header = (
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'maj min device reads_completed reads_merged sectors_read read_time_ms '
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'writes_completed writes_merged sectors_written write_time_ms io_in_progress '
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'io_time_ms weighted_io_time_ms discards_completed_successfully discards_merged '
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'sectors_discarded discarding_time_ms flush_requests_completed_successfully '
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'flushing_time_ms\n'
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)
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data = header + data
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cleandata = filter(None, data.splitlines())
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raw_output = simple_table_parse(cleandata)
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return raw_output if raw else _process(raw_output)
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