Whats an easy way convert the output of Python Pretty table to grammatically usable format such as CSV.
The output looks like this :
C:\test> nova list
spu+--------------------------------------+--------+--------+------------+-------------+-----------------------------------+
| ID | Name | Status | Task State | Power State | Networks |
+--------------------------------------+--------+--------+------------+-------------+-----------------------------------+
| 6bca09f8-a320-44d4-a11f-647dcec0aaa1 | tester | ACTIVE | - | Running | OpenStack-net=10.0.0.1, 10.0.0.3 |
+--------------------------------------+--------+--------+------------+-------------+-----------------------------------+
Perhaps this will get you close:
nova list | grep -v '\-\-\-\-' | sed 's/^[^|]\+|//g' | sed 's/|\(.\)/,\1/g' | tr '|' '\n'
This will strip the --- lines Remove the leading | Replace all but the last | with , Replace the last | with \n
Here's a real ugly one-liner
import csv
s = """\
spu+--------------------------------------+--------+--------+------------+-------------+-----------------------------------+
| ID | Name | Status | Task State | Power State | Networks |
+--------------------------------------+--------+--------+------------+-------------+-----------------------------------+
| 6bca09f8-a320-44d4-a11f-647dcec0aaa1 | tester | ACTIVE | - | Running | OpenStack-net=10.0.0.1, 10.0.0.3 |
+--------------------------------------+--------+--------+------------+-------------+-----------------------------------+"""
result = [tuple(filter(None, map(str.strip, splitline))) for line in s.splitlines() for splitline in [line.split("|")] if len(splitline) > 1]
with open('output.csv', 'wb') as outcsv:
writer = csv.writer(outcsv)
writer.writerows(result)
I can unwrap it a bit to make it nicer:
splitlines = s.splitlines()
splitdata = line.split("|")
splitdata = filter(lambda line: len(line) > 1, data)
# toss the lines that don't have any data in them -- pure separator lines
header, *data = [[field.strip() for field in line if field.strip()] for line in splitdata]
result = [header] + data
# I'm really just separating these, then re-joining them, but sometimes having
# the headers separately is an important thing!
Or possibly more helpful:
result = []
for line in s.splitlines():
splitdata = line.split("|")
if len(splitdata) == 1:
continue # skip lines with no separators
linedata = []
for field in splitdata:
field = field.strip()
if field:
linedata.append(field)
result.append(linedata)
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