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jc.parsers.df

jc - JSON Convert df command output parser

Values are normalized to bytes when using df -h.

Usage (cli):

$ df | jc --df

or

$ jc df

Usage (module):

import jc
result = jc.parse('df', df_command_output)

Schema:

[
  {
    "filesystem":        string,
    "size":              integer,
    "1k_blocks":         integer,
    "512_blocks":        integer,
    "used":              integer,
    "available":         integer,
    "capacity_percent":  integer,
    "ifree":             integer,
    "iused":             integer,
    "use_percent":       integer,
    "iused_percent":     integer,
    "mounted_on":        string
  }
]

Examples:

$ df | jc --df -p
[
  {
    "filesystem": "devtmpfs",
    "1k_blocks": 1918820,
    "used": 0,
    "available": 1918820,
    "use_percent": 0,
    "mounted_on": "/dev"
  },
  {
    "filesystem": "tmpfs",
    "1k_blocks": 1930668,
    "used": 0,
    "available": 1930668,
    "use_percent": 0,
    "mounted_on": "/dev/shm"
  },
  {
    "filesystem": "tmpfs",
    "1k_blocks": 1930668,
    "used": 11800,
    "available": 1918868,
    "use_percent": 1,
    "mounted_on": "/run"
  },
  ...
]

$ df | jc --df -p -r
[
  {
    "filesystem": "devtmpfs",
    "1k_blocks": "1918820",
    "used": "0",
    "available": "1918820",
    "use_percent": "0%",
    "mounted_on": "/dev"
  },
  {
    "filesystem": "tmpfs",
    "1k_blocks": "1930668",
    "used": "0",
    "available": "1930668",
    "use_percent": "0%",
    "mounted_on": "/dev/shm"
  },
  {
    "filesystem": "tmpfs",
    "1k_blocks": "1930668",
    "used": "11800",
    "available": "1918868",
    "use_percent": "1%",
    "mounted_on": "/run"
  },
  ...
]

parse

def parse(data, raw=False, quiet=False)

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.

Parser Information

Compatibility: linux, darwin, freebsd

Source: jc/parsers/df.py

Version 2.0 by Kelly Brazil (kellyjonbrazil@gmail.com)