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use universal parser

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Kelly Brazil
2019-12-12 14:11:59 -08:00
parent 3aea86234d
commit a85377014d
1 changed files with 5 additions and 11 deletions
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16
jc/parsers/free.py
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@ -49,6 +49,7 @@ Examples:
]
"""
import jc.utils
import jc.parsers.universal
def process(proc_data):
@ -110,19 +111,12 @@ def parse(data, raw=False, quiet=False):
if not quiet:
jc.utils.compatibility(__name__, compatible)
# code adapted from Conor Heine at:
# https://gist.github.com/cahna/43a1a3ff4d075bcd71f9d7120037a501
cleandata = data.splitlines()
headers = [h for h in ' '.join(cleandata[0].lower().strip().split()).split() if h]
headers.insert(0, "type")
cleandata[0] = cleandata[0].lower()
cleandata[0] = cleandata[0].replace('buff/cache', 'buff_cache')
cleandata[0] = 'type ' + cleandata[0]
# clean up 'buff/cache' header
# even though forward slash in a key is valid json, it can make things difficult
headers = ['buff_cache' if x == 'buff/cache' else x for x in headers]
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 = jc.parsers.universal.simple_table_parse(cleandata)
for entry in raw_output:
entry['type'] = entry['type'].rstrip(':')