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mirror of https://github.com/kellyjonbrazil/jc.git synced 2025-07-15 01:24:29 +02:00

clean up process code

This commit is contained in:
Kelly Brazil
2019-11-05 08:07:39 -08:00
parent 9ff9470700
commit 8873b1bc69

View File

@ -13,7 +13,7 @@ $ df | jc --df -p
"used": 0, "used": 0,
"available": 1918820, "available": 1918820,
"use_percent": 0, "use_percent": 0,
"mounted": "/dev" "mounted_on": "/dev"
}, },
{ {
"filesystem": "tmpfs", "filesystem": "tmpfs",
@ -21,7 +21,7 @@ $ df | jc --df -p
"used": 0, "used": 0,
"available": 1930668, "available": 1930668,
"use_percent": 0, "use_percent": 0,
"mounted": "/dev/shm" "mounted_on": "/dev/shm"
}, },
{ {
"filesystem": "tmpfs", "filesystem": "tmpfs",
@ -29,7 +29,7 @@ $ df | jc --df -p
"used": 11800, "used": 11800,
"available": 1918868, "available": 1918868,
"use_percent": 1, "use_percent": 1,
"mounted": "/run" "mounted_on": "/run"
}, },
... ...
] ]
@ -42,7 +42,7 @@ $ df | jc --df -p -r
"used": "0", "used": "0",
"available": "1918820", "available": "1918820",
"use_percent": "0%", "use_percent": "0%",
"mounted": "/dev" "mounted_on": "/dev"
}, },
{ {
"filesystem": "tmpfs", "filesystem": "tmpfs",
@ -50,7 +50,7 @@ $ df | jc --df -p -r
"used": "0", "used": "0",
"available": "1930668", "available": "1930668",
"use_percent": "0%", "use_percent": "0%",
"mounted": "/dev/shm" "mounted_on": "/dev/shm"
}, },
{ {
"filesystem": "tmpfs", "filesystem": "tmpfs",
@ -58,7 +58,7 @@ $ df | jc --df -p -r
"used": "11800", "used": "11800",
"available": "1918868", "available": "1918868",
"use_percent": "1%", "use_percent": "1%",
"mounted": "/run" "mounted_on": "/run"
}, },
... ...
] ]
@ -74,7 +74,7 @@ def process(proc_data):
"used": integer, "used": integer,
"available": integer, "available": integer,
"use_percent": integer, "use_percent": integer,
"mounted": string "mounted_on": string
} }
] ]
''' '''
@ -85,54 +85,32 @@ def process(proc_data):
try: try:
blocks_int = int(entry[k]) blocks_int = int(entry[k])
entry[k] = blocks_int entry[k] = blocks_int
except (ValueError, TypeError): except (ValueError):
entry[k] = None entry[k] = None
# change 'used' to int # remove percent sign from 'use_percent'
if 'used' in entry:
try:
used_int = int(entry['used'])
entry['used'] = used_int
except (ValueError, TypeError):
entry['used'] = None
# rename 'avail' to 'available'
if 'avail' in entry:
entry['available'] = entry.pop('avail')
# change 'available' to int
if 'available' in entry:
try:
available_int = int(entry['available'])
entry['available'] = available_int
except (ValueError, TypeError):
entry['available'] = None
else:
entry['available'] = None
# remove percent sign from 'use_percent' and change to int
if 'use_percent' in entry: if 'use_percent' in entry:
entry['use_percent'] = entry['use_percent'].rstrip('%')
# change used, available, and use_percent to int
int_list = ['used', 'available', 'use_percent']
for key in int_list:
if key in entry:
try: try:
use_percent_int = entry['use_percent'].rstrip('%') key_int = int(entry[key])
use_percent_int = int(use_percent_int) entry[key] = key_int
entry['use_percent'] = use_percent_int
except (ValueError, TypeError): except (ValueError, TypeError):
entry['use_percent'] = None entry[key] = None
return proc_data return proc_data
def parse(data, raw=False): def parse(data, raw=False):
# code adapted from Conor Heine at:
# https://gist.github.com/cahna/43a1a3ff4d075bcd71f9d7120037a501
cleandata = data.splitlines() cleandata = data.splitlines()
headers = [h for h in ' '.join(cleandata[0].lower().strip().split()).split() if h] fix_headers = cleandata[0].lower().replace('avail ', 'available ')
fix_headers = fix_headers.replace('use%', 'use_percent')
# clean up 'use%' header fix_headers = fix_headers.replace('mounted on', 'mounted_on')
# even though % in a key is valid json, it can make things difficult headers = [h for h in ' '.join(fix_headers.strip().split()).split() if h]
headers = ['use_percent' if x == 'use%' else x for x in headers]
raw_data = map(lambda s: s.strip().split(None, len(headers) - 1), cleandata[1:]) raw_data = map(lambda s: s.strip().split(None, len(headers) - 1), cleandata[1:])
raw_output = [dict(zip(headers, r)) for r in raw_data] raw_output = [dict(zip(headers, r)) for r in raw_data]