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https://github.com/kellyjonbrazil/jc.git
synced 2025-06-23 00:29:59 +02:00
add pidstat-s parser
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@ -64,6 +64,7 @@ parsers = [
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'ntpq',
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'passwd',
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'pidstat',
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'pidstat-s',
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'ping',
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'ping-s',
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'pip-list',
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167
jc/parsers/pidstat_s.py
Normal file
167
jc/parsers/pidstat_s.py
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@ -0,0 +1,167 @@
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"""jc - JSON Convert `pidstat` command output streaming parser
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> This streaming parser outputs JSON Lines
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<<Short pidstat description and caveats>>
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Usage (cli):
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$ pidstat | jc --pidstat-s
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Usage (module):
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import jc
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# result is an iterable object (generator)
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result = jc.parse('pidstat_s', pidstat_command_output.splitlines())
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for item in result:
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# do something
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or
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import jc.parsers.pidstat_s
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# result is an iterable object (generator)
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result = jc.parsers.pidstat_s.parse(pidstat_command_output.splitlines())
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for item in result:
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# do something
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Schema:
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{
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"pidstat": string,
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# Below object only exists if using -qq or ignore_exceptions=True
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"_jc_meta":
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{
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"success": boolean, # false if error parsing
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"error": string, # exists if "success" is false
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"line": string # exists if "success" is false
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}
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}
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Examples:
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$ pidstat | jc --pidstat-s
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{example output}
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...
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$ pidstat | jc --pidstat-s -r
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{example output}
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...
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"""
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from typing import Dict, Iterable, Union
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import jc.utils
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from jc.streaming import (
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add_jc_meta, streaming_input_type_check, streaming_line_input_type_check, raise_or_yield
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)
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from jc.parsers.universal import simple_table_parse
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from jc.exceptions import ParseError
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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 = '`pidstat` command streaming 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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streaming = True
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__version__ = info.version
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def _process(proc_data: Dict) -> 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: (Dictionary) raw structured data to process
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Returns:
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Dictionary. Structured data to conform to the schema.
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"""
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int_list = ['time', 'uid', 'pid', 'cpu', 'vsz', 'rss', 'stksize', 'stkref']
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float_list = ['percent_usr', 'percent_system', 'percent_guest', 'percent_cpu',
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'minflt_s', 'majflt_s', 'percent_mem', 'kb_rd_s', 'kb_wr_s',
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'kb_ccwr_s', 'cswch_s', 'nvcswch_s']
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for key in proc_data:
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if key in int_list:
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proc_data[key] = jc.utils.convert_to_int(proc_data[key])
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if key in float_list:
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proc_data[key] = jc.utils.convert_to_float(proc_data[key])
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return proc_data
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@add_jc_meta
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def parse(
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data: Iterable[str],
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raw: bool = False,
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quiet: bool = False,
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ignore_exceptions: bool = False
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) -> Union[Iterable[Dict], tuple]:
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"""
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Main text parsing generator function. Returns an iterator object.
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Parameters:
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data: (iterable) line-based text data to parse
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(e.g. sys.stdin or str.splitlines())
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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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ignore_exceptions: (boolean) ignore parsing exceptions if True
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Yields:
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Dictionary. Raw or processed structured data.
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Returns:
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Iterator object (generator)
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"""
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jc.utils.compatibility(__name__, info.compatible, quiet)
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streaming_input_type_check(data)
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found_first_hash = False
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header = ''
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for line in data:
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try:
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streaming_line_input_type_check(line)
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output_line: Dict = {}
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if not line.strip():
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# skip blank lines
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continue
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if not line.startswith('#') and not found_first_hash:
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# skip preample lines before header row
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continue
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if line.startswith('#') and not found_first_hash:
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# normalize header
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header = line.replace('#', ' ')\
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.replace('/', '_')\
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.replace('%', 'percent_')\
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.lower()
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found_first_hash = True
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continue
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if line.startswith('#') and found_first_hash:
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# skip header lines after first one is found
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continue
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output_line = simple_table_parse([header, line])[0]
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if output_line:
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yield output_line if raw else _process(output_line)
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else:
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raise ParseError('Not pidstat data')
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except Exception as e:
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yield raise_or_yield(ignore_exceptions, e, line)
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