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https://github.com/kellyjonbrazil/jc.git
synced 2025-06-19 00:17:51 +02:00
add dmidecode parser
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@ -35,6 +35,7 @@ parsers = [
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'csv',
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'df',
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'dig',
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'dmidecode',
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'du',
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'env',
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'file',
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174
jc/parsers/dmidecode.py
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174
jc/parsers/dmidecode.py
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@ -0,0 +1,174 @@
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"""jc - JSON CLI output utility dmidecode Parser
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Usage:
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specify --dmidecode as the first argument if the piped input is coming from dmidecode
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Compatibility:
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'linux'
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Examples:
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$ dmidecode | jc --dmidecode -p
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[]
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$ dmidecode | jc --dmidecode -p -r
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[]
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"""
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import jc.utils
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class info():
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version = '1.0'
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description = 'dmidecode command parser'
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author = 'Kelly Brazil'
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author_email = 'kellyjonbrazil@gmail.com'
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# details = 'enter any other details here'
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# compatible options: linux, darwin, cygwin, win32, aix, freebsd
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compatible = ['linux']
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magic_commands = ['dmidecode']
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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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List of dictionaries. Structured data with the following schema:
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[
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{
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"dmidecode": string,
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"bar": boolean,
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"baz": integer
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}
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]
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"""
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# rebuild output for added semantic information
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return proc_data
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def parse(data, raw=False, quiet=False):
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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) output preprocessed JSON 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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if not quiet:
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jc.utils.compatibility(__name__, info.compatible)
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item_header = False
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item_values = False
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value_list = False
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item = None
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attribute = None
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values = None
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raw_output = []
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for line in filter(None, data.replace('\t', '').splitlines()):
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# header
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if line.startswith('Handle ') and line.endswith('bytes'):
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item_header = True
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item_values = False
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value_list = False
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if item:
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raw_output.append(item)
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# Handle 0x0000, DMI type 0, 24 bytes
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header = line.replace(',', ' ').split()
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item = {
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'handle': header[1],
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'type': header[4],
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'bytes': header[5]
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}
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continue
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# description
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if item_header:
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item_header = False
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item_values = True
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value_list = False
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item['description'] = line
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item['values'] = {}
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continue
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# keys and values
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if item_values and not value_list and not line.strip().endswith(':'):
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item_header = False
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item_values = True
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value_list = False
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if values:
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item['values'][attribute] = values
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values = []
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if len(line.split(':', maxsplit=1)) == 2:
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key = line.split(':', maxsplit=1)[0].strip().lower().replace(' ', '_')
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val = line.split(':', maxsplit=1)[1].strip()
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item['values'].update({key: val})
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else:
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pass
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continue
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# back to keys and values when inside multi-line key
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if item_values and value_list and len(line.split(':', maxsplit=1)) == 2:
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item_header = False
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item_values = True
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value_list = False
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if values:
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item['values'][attribute] = values
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values = []
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key = line.split(':', maxsplit=1)[0].strip().lower().replace(' ', '_')
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val = line.split(':', maxsplit=1)[1].strip()
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item['values'].update({key: val})
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continue
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# multi-line key
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if item_values and line.strip().endswith(':'):
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item_header = False
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item_values = True
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value_list = True
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if values:
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item['values'][attribute] = values
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attribute = line[:-1].strip().lower().replace(' ', '_')
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values = []
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continue
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# multi-line values
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if value_list:
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values.append(line)
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continue
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if item:
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raw_output.append(item)
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if raw:
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return raw_output
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else:
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return process(raw_output)
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