1
0
mirror of https://github.com/kellyjonbrazil/jc.git synced 2025-06-17 00:07:37 +02:00
Files
jc/jc/parsers/history.py
2020-02-03 16:11:58 -08:00

129 lines
2.7 KiB
Python

"""jc - JSON CLI output utility history Parser
Usage:
specify --history as the first argument if the piped input is coming from history
Compatibility:
'linux', 'darwin', 'cygwin', 'win32', 'aix', 'freebsd'
Examples:
$ history | jc --history -p
[
{
"line": "118",
"command": "sleep 100"
},
{
"line": "119",
"command": "ls /bin"
},
{
"line": "120",
"command": "echo \"hello\""
},
{
"line": "121",
"command": "docker images"
},
...
]
$ history | jc --history -p -r
{
"118": "sleep 100",
"119": "ls /bin",
"120": "echo \"hello\"",
"121": "docker images",
...
}
"""
import jc
class info():
version = '1.1'
description = 'history parser'
author = 'Kelly Brazil'
author_email = 'kellyjonbrazil@gmail.com'
# compatible options: linux, darwin, cygwin, win32, aix, freebsd
compatible = ['linux', 'darwin', 'cygwin', 'win32', 'aix', 'freebsd']
__version__ = info.version
def process(proc_data):
"""
Final processing to conform to the schema.
Parameters:
proc_data: (dictionary) raw structured data to process
Returns:
List of dictionaries. Structured data with the following schema:
[
{
"line": string,
"command": string
}
]
"""
# rebuild output for added semantic information
processed = []
for k, v in proc_data.items():
proc_line = {}
proc_line['line'] = k
proc_line['command'] = v
processed.append(proc_line)
return processed
def parse(data, raw=False, quiet=False):
"""
Main text parsing function
Parameters:
data: (string) text data to parse
raw: (boolean) output preprocessed JSON if True
quiet: (boolean) suppress warning messages if True
Returns:
Dictionary of raw structured data or
list of dictionaries of processed structured data
"""
if not quiet:
jc.utils.compatibility(__name__, info.compatible)
raw_output = {}
# split lines and clear out any non-ascii chars
linedata = data.encode('ascii', errors='ignore').decode().splitlines()
# Clear any blank lines
cleandata = list(filter(None, linedata))
if cleandata:
for entry in cleandata:
try:
parsed_line = entry.split(maxsplit=1)
raw_output[parsed_line[0]] = parsed_line[1]
except IndexError:
# need to catch indexerror in case there is weird input from prior commands
pass
if raw:
return raw_output
else:
return process(raw_output)