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jc/jc/parsers/foo.py
2022-10-18 11:01:59 -07:00

112 lines
2.2 KiB
Python

"""jc - JSON Convert `foo` command output parser
<<Short foo description and caveats>>
Usage (cli):
$ foo | jc --foo
or
$ jc foo
Usage (module):
import jc
result = jc.parse('foo', foo_command_output)
Schema:
[
{
"foo": string,
"bar": boolean,
"baz": integer
}
]
Examples:
$ foo | jc --foo -p
[]
$ foo | jc --foo -p -r
[]
"""
from typing import List
from jc.jc_types import JSONDictType
import jc.utils
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.0'
description = '`foo` command parser'
author = 'John Doe'
author_email = 'johndoe@gmail.com'
# details = 'enter any other details here'
# compatible options: linux, darwin, cygwin, win32, aix, freebsd
compatible = ['linux', 'darwin', 'cygwin', 'win32', 'aix', 'freebsd']
magic_commands = ['foo']
__version__ = info.version
def _process(proc_data: List[JSONDictType]) -> List[JSONDictType]:
"""
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 parse(
data: str,
raw: bool = False,
quiet: bool = False
) -> List[JSONDictType]:
"""
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[JSONDictType] = []
if jc.utils.has_data(data):
for line in filter(None, data.splitlines()):
# parse the content here
# check out helper functions in jc.utils
# and jc.parsers.universal
pass
return raw_output if raw else _process(raw_output)