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initial nmcli parser

This commit is contained in:
Kelly Brazil
2022-02-24 11:25:14 -08:00
parent 52617b1722
commit 4dda895f12
13 changed files with 404 additions and 0 deletions

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jc/parsers/nmcli.py Normal file
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"""jc - JSON CLI output utility `nmcli` command output parser
<<Short nmcli description and caveats>>
Usage (cli):
$ nmcli | jc --nmcli
or
$ jc nmcli
Usage (module):
import jc
result = jc.parse('nmcli', nmcli_command_output)
or
import jc.parsers.nmcli
result = jc.parsers.nmcli.parse(nmcli_command_output)
Schema:
[
{
"nmcli": string,
"bar": boolean,
"baz": integer
}
]
Examples:
$ nmcli | jc --nmcli -p
[]
$ nmcli | jc --nmcli -p -r
[]
"""
from typing import List, Dict
import jc.utils
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.0'
description = '`nmcli` command parser'
author = 'Kelly Brazil'
author_email = 'kellyjonbrazil@gmail.com'
compatible = ['linux']
magic_commands = ['nmcli']
__version__ = info.version
def _process(proc_data: List[Dict]) -> List[Dict]:
"""
Final processing to conform to the schema.
Parameters:
proc_data: (List of Dictionaries) raw structured data to process
Returns:
List of Dictionaries. Structured to conform to the schema.
"""
# process the data here
# rebuild output for added semantic information
# use helper functions in jc.utils for int, float, bool
# conversions and timestamps
return proc_data
def _normalize_key(keyname: str) -> str:
return keyname.replace(' ', '_')\
.replace('.', '_')\
.replace('[', '_')\
.replace(']', '')\
.replace('-', '_')\
.replace('GENERAL_', '')\
.lower()
def parse(
data: str,
raw: bool = False,
quiet: bool = False
) -> List[Dict]:
"""
Main text parsing function
Parameters:
data: (string) text data to parse
raw: (boolean) unprocessed output if True
quiet: (boolean) suppress warning messages if True
Returns:
List of Dictionaries. Raw or processed structured data.
"""
jc.utils.compatibility(__name__, info.compatible, quiet)
jc.utils.input_type_check(data)
raw_output: List = []
item: Dict = {}
current_item = ''
if jc.utils.has_data(data):
for line in filter(None, data.splitlines()):
key, value = line.split(':', maxsplit=1)
key = _normalize_key(key)
value = value.strip()
if item and 'device' in key and value != current_item:
raw_output.append(item)
item = {}
current_item = value
item.update({key: value})
if item:
raw_output.append(item)
return raw_output if raw else _process(raw_output)