Skip to main content

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)

Source distribution for bombchu 0.1.3
File Size Uploaded
bombchu-0.1.3.tar.gz 3.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bombchu 0.1.3
File Interpreter ABI Platform
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
BLAKE2b-256 checksum
How to use checksums
f517d9d442837248f448ed6672999948cfead763320f96bdf12f1eff15fe8ba9
Upload date
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

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
BLAKE2b-256 checksum
How to use checksums
36f57c2f04418a01f81210ac5bf1d182eb948efedd5f5340326e733b2fd6ddf6
Upload date
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

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

0.0.1

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page