bombchu
Simple data manipulation tool with a bang, inspired by qu.
Install
pip3 install bombchu --user
- Ensure that where Python cli tools are installed on your system is in your PATH.
Usage
❯ # break on a delimiter
❯ echo "d,d,b,a,a,b,c,d,d,e" | bombchu -d ','
['d', 'd', 'b', 'a', 'a', 'b', 'c', 'd', 'd', 'e']
❯ # same thing, but sort unique
❯ echo "d,d,b,a,a,b,c,d,d,e" | bombchu -d ',' -s -u
['a', 'b', 'c', 'd', 'e']
❯ # now output it separated by semi-colons
❯ echo "d,d,b,a,a,b,c,d,d,e" | bombchu -d ',' -s -u -o '; '
a; b; c; d; e
❯ # i got some csv data that looks like this...
❯ head -n 2 foo.csv
start_time,ip,port
"2022-04-10 06:00:10",10.13.37.42,51111
❯ # let's extract all the unique ips sorted and put them on new lines defanged
❯ cat foo.csv | bombchu -c ip -u -n --defang --sips
10[.]13[.]37[.]42
10[.]22[.]22[.]11
10[.]44[.]44[.]22
❯ # i gotta put this data in to splunk now in term format
❯ cat foo.csv | bombchu -c ip -u --term
(TERM(10.22.22.11) OR TERM(10.13.37.42) OR TERM(10.44.44.22))
❯ # now i got some json data that looks like this...
❯ cat foo.json
{
"foo": {
"id": 1234
},
"foo2": {
"id": 1337
},
"foo3": {
"id": 1111
}
}
❯ # i need all these ids sorted
❯ cat foo.json | bombchu -j id -s
[1111, 1234, 1337]
❯ # gimme those ids on new lines with back ticks
❯ cat foo.json | bombchu -j id -s -n --add '`'
`1111`
`1234`
`1337`
❯ # now i got some log file that looks like this...
❯ head -n 2 foo.log
{"name": "joe", "id": 4242, "action": "bleh"}
{"name": "bob", "id": 1337, "action": "blah"}
❯ # let's see the users in these logs
❯ cat foo.log | bombchu -l name -o ', '
joe, bob, bob, bob, bob, john, john, bob, bob, susan, susan, bob
❯ # now i need unique users and ids next to each other
❯ cat foo.log | bombchu -l id,name -n -s -u
1337,bob
1337,john
1337,susan
4242,joe
❯ # i need these sorted unique and ready to go into splunk
❯ cat foo.log | bombchu -l name -s -u --splunk
("bob", "joe", "john", "susan")
❯ # now throw that on my clipboard
❯ cat foo.log | bombchu -l name -s -u --splunk --copy
("bob", "joe", "john", "susan")
❯ # read in a python list
❯ echo "['62', '41', '27', '111', '55']" | bombchu -p --addl '=' -n
=62
=41
=27
=111
=55
Release files for bombchu 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bombchu-0.1.3.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bombchu-0.1.3-py3.9.egg | Legacy Egg format | - | - | Details |
Total release size: 9.3 kB
Release files / bombchu-0.1.3.tar.gz
| Download URL | bombchu-0.1.3.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6f3a7f06bb4972ed121262409879793876e7623650dcae83a2f62441c2596119
|
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No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.6 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12
|
Release files / bombchu-0.1.3-py3.9.egg
| Download URL | bombchu-0.1.3-py3.9.egg |
|---|---|
| Size | 5.8 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
4e52a15e589fbb309ccbd63f13b626e30ee107e84987ef3c27aae17cdfd2e50f
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BLAKE2b-256 checksum How to use checksums |
36f57c2f04418a01f81210ac5bf1d182eb948efedd5f5340326e733b2fd6ddf6
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.6 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12
|