mirror of
https://github.com/kellyjonbrazil/jc.git
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129 lines
2.8 KiB
Python
129 lines
2.8 KiB
Python
"""jc - JSON CLI output utility `systemctl list-unit-files` command output
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parser
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Usage (cli):
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$ systemctl list-unit-files | jc --systemctl-luf
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or
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$ jc systemctl list-unit-files
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Usage (module):
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import jc
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result = jc.parse('systemctl_luf', systemctl_luf_command_output)
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or
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import jc.parsers.systemctl_luf
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result = jc.parsers.systemctl_luf.parse(systemctl_luf_command_output)
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Schema:
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[
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{
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"unit_file": string,
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"state": string
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}
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]
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Examples:
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$ systemctl list-unit-files | jc --systemctl-luf -p
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[
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{
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"unit_file": "proc-sys-fs-binfmt_misc.automount",
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"state": "static"
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},
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{
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"unit_file": "dev-hugepages.mount",
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"state": "static"
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},
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{
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"unit_file": "dev-mqueue.mount",
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"state": "static"
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},
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...
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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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"""Provides parser metadata (version, author, etc.)"""
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version = '1.5'
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description = '`systemctl list-unit-files` command 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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magic_commands = ['systemctl list-unit-files']
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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: (List of Dictionaries) raw structured data to process
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Returns:
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List of Dictionaries. Structured data to conform to the schema.
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"""
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# nothing more to process
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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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jc.utils.compatibility(__name__, info.compatible, quiet)
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jc.utils.input_type_check(data)
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# Clear any blank lines
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linedata = list(filter(None, data.splitlines()))
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raw_output = []
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if jc.utils.has_data(data):
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cleandata = []
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# clean up non-ascii characters, if any
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for entry in linedata:
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cleandata.append(entry.encode('ascii', errors='ignore').decode())
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header_text = cleandata[0]
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header_text = header_text.lower().replace('unit file', 'unit_file')
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header_list = header_text.split()
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raw_output = []
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for entry in cleandata[1:]:
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if 'unit files listed.' in entry:
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break
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else:
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entry_list = entry.split(maxsplit=4)
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output_line = dict(zip(header_list, entry_list))
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raw_output.append(output_line)
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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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