mirror of
https://github.com/kellyjonbrazil/jc.git
synced 2025-06-25 00:37:31 +02:00
196 lines
4.5 KiB
Python
196 lines
4.5 KiB
Python
"""jc - JSON Convert `/proc/vmallocinfo` file parser
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This parser will attempt to convert number values to integers. If that is
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not desired, please use the `--raw` option (cli) or `raw=True` argument
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(module).
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Usage (cli):
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$ cat /proc/vmallocinfo | jc --proc
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or
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$ jc /proc/vmallocinfo
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or
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$ cat /proc/vmallocinfo | jc --proc-vmallocinfo
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Usage (module):
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import jc
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result = jc.parse('proc', proc_vmallocinfo_file)
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or
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import jc
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result = jc.parse('proc_vmallocinfo', proc_vmallocinfo_file)
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Schema:
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[
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{
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"start": string,
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"end": string,
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"size": integer,
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"caller": string,
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"options": [
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string
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],
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"phys": string
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"pages": integer,
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"N<id>": integer
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}
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]
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Examples:
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$ cat /proc/vmallocinfo | jc --proc -p
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[
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{
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"start": "0xffffb3c1c0000000",
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"end": "0xffffb3c1c0005000",
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"size": 20480,
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"caller": "map_irq_stack+0x93/0xe0",
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"options": [
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"vmap"
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],
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"phys": "0x00000000bfefe000"
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},
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{
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"start": "0xffffb3c1c0005000",
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"end": "0xffffb3c1c0007000",
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"size": 8192,
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"caller": "acpi_os_map_iomem+0x1ac/0x1c0",
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"options": [
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"ioremap"
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],
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"phys": "0x00000000bfeff000"
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},
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...
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]
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$ cat /proc/vmallocinfo | jc --proc-vmallocinfo -p -r
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[
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{
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"start": "0xffffb3c1c0000000",
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"end": "0xffffb3c1c0005000",
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"size": "20480",
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"caller": "map_irq_stack+0x93/0xe0",
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"options": [
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"vmap"
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],
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"phys": "0x00000000bfefe000"
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},
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{
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"start": "0xffffb3c1c0005000",
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"end": "0xffffb3c1c0007000",
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"size": "8192",
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"caller": "acpi_os_map_iomem+0x1ac/0x1c0",
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"options": [
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"ioremap"
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],
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"phys": "0x00000000bfeff000"
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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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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/vmallocinfo` 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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tags = ['file']
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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 isinstance(entry[key], str):
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try:
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entry[key] = int(entry[key])
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except Exception:
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pass
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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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output_line: Dict = {}
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if jc.utils.has_data(data):
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for line in filter(None, data.splitlines()):
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area, size, details = line.split(maxsplit=2)
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start, end = area.split('-', maxsplit=1)
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detail_split = details.split()
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caller = ''
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options: List = []
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if details == 'unpurged vm_area':
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caller = 'unpurged vm_area'
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else:
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caller = detail_split[0]
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for item in detail_split[1:]:
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if '=' in item:
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key, val = item.split('=')
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output_line.update({key: val})
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else:
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options.append(item)
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output_line = {
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'start': start,
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'end': end,
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'size': size,
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'caller': caller or None,
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'options': options
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}
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if output_line:
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raw_output.append(output_line)
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return raw_output if raw else _process(raw_output)
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