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Code Issues Releases Activity

change 'Use%' to 'Use_percent'

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Kelly Brazil
2019-10-25 10:39:05 -07:00
parent 75c0841538
commit 25b90546c6
3 changed files with 14 additions and 9 deletions
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8
README.md
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@ -92,7 +92,7 @@ $ df | jc --df -p
"1K-blocks": "977500",
"Used": "0",
"Available": "977500",
"Use%": "0%",
"Use_percent": "0%",
"Mounted": "/dev"
},
{
@ -100,7 +100,7 @@ $ df | jc --df -p
"1K-blocks": "201732",
"Used": "1180",
"Available": "200552",
"Use%": "1%",
"Use_percent": "1%",
"Mounted": "/run"
},
{
@ -108,7 +108,7 @@ $ df | jc --df -p
"1K-blocks": "20508240",
"Used": "5747284",
"Available": "13696152",
"Use%": "30%",
"Use_percent": "30%",
"Mounted": "/"
},
{
@ -116,7 +116,7 @@ $ df | jc --df -p
"1K-blocks": "1008648",
"Used": "0",
"Available": "1008648",
"Use%": "0%",
"Use_percent": "0%",
"Mounted": "/dev/shm"
},
...

2
changelog.txt
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@ -5,7 +5,7 @@ jc changelog
- Add uptime parser
- Add history parser
- Flatten env parser output
- Remove problematic characters from key names in: free, history, lsblk, lsof, and w
- Remove problematic characters from key names in: df, free, history, lsblk, lsof, and w
20191023 v0.9.1
- Add jobs parser

13
jc/parsers/df.py
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@ -12,7 +12,7 @@ $ df | jc --df -p
"1K-blocks": "977500",
"Used": "0",
"Available": "977500",
"Use%": "0%",
"Use_percent": "0%",
"Mounted": "/dev"
},
{
@ -20,7 +20,7 @@ $ df | jc --df -p
"1K-blocks": "201732",
"Used": "1180",
"Available": "200552",
"Use%": "1%",
"Use_percent": "1%",
"Mounted": "/run"
},
{
@ -28,7 +28,7 @@ $ df | jc --df -p
"1K-blocks": "20508240",
"Used": "5747284",
"Available": "13696152",
"Use%": "30%",
"Use_percent": "30%",
"Mounted": "/"
},
{
@ -36,7 +36,7 @@ $ df | jc --df -p
"1K-blocks": "1008648",
"Used": "0",
"Available": "1008648",
"Use%": "0%",
"Use_percent": "0%",
"Mounted": "/dev/shm"
},
...
@ -51,5 +51,10 @@ def parse(data):
cleandata = data.splitlines()
headers = [h for h in ' '.join(cleandata[0].strip().split()).split() if h]
# clean up 'Use%' header
# even though % in a key is valid json, it can make things difficult
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:])
return [dict(zip(headers, r)) for r in raw_data]