mirror of
https://github.com/kellyjonbrazil/jc.git
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140 lines
2.9 KiB
Python
140 lines
2.9 KiB
Python
"""jc - JSON Convert `/proc/net/unix` file parser
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Usage (cli):
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$ cat /proc/net/unix | jc --proc
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or
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$ jc /proc/net/unix
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or
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$ cat /proc/net/unix | jc --proc-net-unix
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Usage (module):
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import jc
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result = jc.parse('proc', proc_net_unix_file)
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or
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import jc
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result = jc.parse('proc_net_unix', proc_net_unix_file)
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Schema:
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[
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{
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"Num": string,
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"RefCount": string,
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"Protocol": string,
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"Flags": string,
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"Type": string,
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"St": string,
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"Inode": integer,
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"Path": string
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}
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]
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Examples:
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$ cat /proc/net/unix | jc --proc -p
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[
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{
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"Num": "ffff9b61ac49c400:",
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"RefCount": "00000002",
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"Protocol": "00000000",
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"Flags": "00010000",
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"Type": "0001",
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"St": "01",
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"Inode": 42776,
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"Path": "/var/snap/lxd/common/lxd/unix.socket"
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},
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...
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]
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$ cat /proc/net/unix | jc --proc -p -r
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[
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{
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"Num": "ffff9b61ac49c400:",
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"RefCount": "00000002",
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"Protocol": "00000000",
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"Flags": "00010000",
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"Type": "0001",
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"St": "01",
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"Inode": "42776",
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"Path": "/var/snap/lxd/common/lxd/unix.socket"
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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/net/unix` 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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int_list = {'Inode'}
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for entry in proc_data:
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for key, val in entry.items():
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if key in int_list:
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entry[key] = int(val)
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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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raw_output = simple_table_parse(data.splitlines())
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return raw_output if raw else _process(raw_output)
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