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https://github.com/kellyjonbrazil/jc.git
synced 2025-07-13 01:20:24 +02:00
add iostat streaming parser
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@ -77,6 +77,7 @@ parsers = [
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'ifconfig',
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'ini',
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'iostat',
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'iostat-s',
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'iptables',
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'iw-scan',
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'jobs',
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165
jc/parsers/iostat_s.py
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165
jc/parsers/iostat_s.py
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@ -0,0 +1,165 @@
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"""jc - JSON CLI output utility `iostat` command output streaming parser
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> This streaming parser outputs JSON Lines
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<<Short iostat description and caveats>>
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Usage (cli):
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$ iostat | jc --iostat-s
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Usage (module):
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import jc.parsers.iostat_s
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result = jc.parsers.iostat_s.parse(iostat_command_output.splitlines()) # result is an iterable object
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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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"iostat": string,
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"_jc_meta": # This object only exists if using -qq or ignore_exceptions=True
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{
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"success": booean, # true if successfully parsed, false if error
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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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$ iostat | jc --iostat-s
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{example output}
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...
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$ iostat | jc --iostat-s -r
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{example output}
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...
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"""
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import jc.utils
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from jc.utils import stream_success, stream_error
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from jc.exceptions import ParseError
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import jc.parsers.universal
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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 = '`iostat` 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):
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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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float_list = [
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'percent_user', 'percent_nice', 'percent_system', 'percent_iowait',
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'percent_steal', 'percent_idle', 'tps', 'kb_read_s', 'mb_read_s', 'kb_wrtn_s',
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'mb_wrtn_s', 'rrqm_s', 'wrqm_s', 'r_s', 'w_s', 'rmb_s', 'rkb_s', 'wmb_s',
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'wkb_s', 'avgrq_sz', 'avgqu_sz', 'await', 'r_await', 'w_await', 'svctm',
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'percent_util', 'percent_rrqm', 'percent_wrqm', 'aqu_sz', 'rareq_sz', 'wareq_sz'
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]
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int_list = ['kb_read', 'mb_read', 'kb_wrtn', 'mb_wrtn']
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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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def _normalize_headers(line):
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return line.replace('%', 'percent_').replace('/', '_').replace('-', '_').lower()
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def _create_obj_list(section_list, section_name):
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output_list = jc.parsers.universal.simple_table_parse(section_list)
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for item in output_list:
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item['type'] = section_name
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return output_list
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def parse(data, raw=False, quiet=False, ignore_exceptions=False):
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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 (e.g. sys.stdin or str.splitlines())
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raw: (boolean) output preprocessed JSON 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
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"""
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jc.utils.compatibility(__name__, info.compatible, quiet)
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jc.utils.streaming_input_type_check(data)
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section = '' # either 'cpu' or 'device'
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headers = ''
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cpu_list = []
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device_list = []
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for line in data:
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output_line = {}
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try:
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jc.utils.streaming_line_input_type_check(line)
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# ignore blank lines and header line
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if line == '\n' or line.startswith('Linux'):
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continue
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if line.startswith('avg-cpu:'):
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section = 'cpu'
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headers = _normalize_headers(line)
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headers = headers.strip().split(':', maxsplit=1)[1:]
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headers = ' '.join(headers)
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continue
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if line.startswith('Device'):
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section = 'device'
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headers = _normalize_headers(line)
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headers = headers.replace(':', ' ')
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continue
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if section == 'cpu':
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cpu_list.append(headers)
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cpu_list.append(line)
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output_line = _create_obj_list(cpu_list, 'cpu')[0]
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cpu_list = []
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if section == 'device':
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device_list.append(headers)
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device_list.append(line)
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output_line = _create_obj_list(device_list, 'device')[0]
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device_list = []
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if output_line:
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yield stream_success(output_line, ignore_exceptions) if raw else stream_success(_process(output_line), ignore_exceptions)
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else:
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raise ParseError('Not iostat data')
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except Exception as e:
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yield stream_error(e, ignore_exceptions, line)
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