birchb1024/frangipanni birchb1024/frangipanni

  • Stars
    star
    1,195
  • Rank 39,145 (Top 0.8 %)
  • Language
    Go
  • License
    MIT License
  • Created over 4 years ago
  • Updated over 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
birchb1024/frangipanni
github

birchb1024

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Program to convert lines of text into a tree structure.

Frangipanni

frangipanni

Program to convert lines of text into beautiful tree structures.

./frangipanni.jpg Plumeria sanalsp

The program reads each line on the standard input in turn. It breaks each line into tokens, then adds the sequence of tokens into a tree structure. Lines with the same leading tokens are placed in the same branch of the tree. The tree is printed as indented lines or JSON format. Alternatively the tree can be passed to a user-provided Lua script which can produce any output format.

Options control where the line is broken into tokens, and how it is analysed and output.

Basic Operation

Here is a simple example. Given this command sudo find /etc -maxdepth 3 | tail -9,

We get this data:

/etc/bluetooth/rfcomm.conf.dpkg-remove
/etc/bluetooth/serial.conf.dpkg-remove
/etc/bluetooth/input.conf
/etc/bluetooth/audio.conf.dpkg-remove
/etc/bluetooth/network.conf
/etc/bluetooth/main.conf
/etc/fish
/etc/fish/completions
/etc/fish/completions/task.fish

When we pipe this into the frangipanni program :

sudo find /etc -maxdepth 3 | tail -9 | frangipanni

we see this output:

etc
    bluetooth
        rfcomm.conf.dpkg-remove
        serial.conf.dpkg-remove
        input.conf
        audio.conf.dpkg-remove
        network.conf
        main.conf
    fish/completions/task.fish

By default, it reads each line and splits them into tokens when it finds a non-alphanumeric character.

In this next example weโ€™re processing a list of files produced by find so we only want to break on directories. So we can specify -breaks /.

The default behaviour is to fold tree branches with no sub-branches into a single line of output. e.g.ย =fish/completions/task.fish= We turn off folding by specifying the -no-fold option. With the refined command

frangipanni -breaks / -no-fold

We see this output

etc
    bluetooth
        rfcomm.conf.dpkg-remove
        serial.conf.dpkg-remove
        input.conf
        audio.conf.dpkg-remove
        network.conf
        main.conf
    fish
        completions
            task.fish

Having restructured the data into a tree format we can output in other formats. We can ask for JSON by adding the -format json option. We get this output:

{"etc" : 
    {"bluetooth" : 
        ["rfcomm.conf.dpkg-remove",
        "serial.conf.dpkg-remove",
        "input.conf",
        "audio.conf.dpkg-remove",
        "network.conf",
        "main.conf"],
    "fish" : 
        {"completions" : "task.fish"}}}

Usage

The command is a simple filter taking standard input, and output on stdout.

cat <input> | frangipanni [options]

Options

-breaks string
      Characters to slice lines with.
-chars
      Slice line after every character.
-counts
      Print number of matches at the end of the line.
-depth int
      Maximum tree depth to print. (default 2147483647)
-format string
      Format of output: indent|json (default "indent")
-indent int
      Number of spaces to indent per level. (default 4)
-level int
      Analyse down to this level (positive integer). (default 2147483647)
-lua string
      Lua Script to run
-no-fold
      Don't fold into one line.
-order string
      Sort order input|alpha. Sort the childs either in input order or via character ordering (default "input")
-separators
      Print leading separators.
-skip int
      Number of leading fields to skip.
-spacer string
      Characters to indent lines with. (default " ")

Examples

Log files

Given input from a log file:

May 10 03:17:06 localhost systemd: Removed slice User Slice of root.
May 10 03:17:06 localhost systemd: Stopping User Slice of root.
May 10 04:00:00 localhost systemd: Starting Docker Cleanup...
May 10 04:00:00 localhost systemd: Started Docker Cleanup.
May 10 04:00:00 localhost dockerd-current: time="2020-05-10T04:00:00.629849861+10:00" level=debug msg="Calling GET /_ping"
May 10 04:00:00 localhost dockerd-current: time="2020-05-10T04:00:00.629948000+10:00" level=debug msg="Unable to determine container for /"
May 10 04:00:00 localhost dockerd-current: time="2020-05-10T04:00:00.630103455+10:00" level=debug msg="{Action=_ping, LoginUID=12345678, PID=21075}"
May 10 04:00:00 localhost dockerd-current: time="2020-05-10T04:00:00.630684502+10:00" level=debug msg="Calling GET /v1.26/containers/json?all=1&filters=%7B%22status%22%3A%7B%22dead%22%3Atrue%7D%7D"
May 10 04:00:00 localhost dockerd-current: time="2020-05-10T04:00:00.630704513+10:00" level=debug msg="Unable to determine container for containers"
May 10 04:00:00 localhost dockerd-current: time="2020-05-10T04:00:00.630735545+10:00" level=debug msg="{Action=json, LoginUID=12345678, PID=21075}"

default output is:

May 10
 03:17:06 localhost systemd
  : Removed slice User Slice of root
  : Stopping User Slice of root
 04:00:00 localhost
   dockerd-current: time="2020-05-10T04:00:00
    .629849861+10:00" level=debug msg="Calling GET /_ping
    .629948000+10:00" level=debug msg="Unable to determine container for
    .630103455+10:00" level=debug msg="{Action=_ping, LoginUID=12345678, PID=21075
    .630684502+10:00" level=debug msg="Calling GET /v1.26/containers/json?all=1&filters=%7B%22status%22%3A%7B%22dead%22%3Atrue%7D%7D
    .630704513+10:00" level=debug msg="Unable to determine container for containers
    .630735545+10:00" level=debug msg="{Action=json, LoginUID=12345678, PID=21075
   systemd
    : Started Docker Cleanup
    : Starting Docker Cleanup

with the -skip 5 option we can ignore the date and time at the beginning of each line. The output is

localhost
    systemd
        Removed slice User Slice of root
        Stopping User Slice of root
        Starting Docker Cleanup
        Started Docker Cleanup
    dockerd-current: time="2020-05-10T04:00:00
        629849861+10:00" level=debug msg="Calling GET /_ping
        629948000+10:00" level=debug msg="Unable to determine container for
        630103455+10:00" level=debug msg="{Action=_ping, LoginUID=12345678, PID=21075
        630684502+10:00" level=debug msg="Calling GET /v1.26/containers/json?all=1&filters=%7B%22status%22%3A%7B%22dead%22%3Atrue%7D%7D
        630704513+10:00" level=debug msg="Unable to determine container for containers
        630735545+10:00" level=debug msg="{Action=json, LoginUID=12345678, PID=21075

Data from environment variables

Give this input, from ~env | egrep โ€˜^XDGโ€™~ :

XDG_VTNR=2
XDG_SESSION_ID=5
XDG_SESSION_TYPE=x11
XDG_DATA_DIRS=/usr/share:/usr/share:/usr/local/share
XDG_SESSION_DESKTOP=plasma
XDG_CURRENT_DESKTOP=KDE
XDG_SEAT=seat0
XDG_RUNTIME_DIR=/run/user/1000
XDG_SESSION_COOKIE=fe37f2ef4-158904.727668-469753

And run with

$ env | egrep '^XDG' | ./frangipanni -breaks '=_' -no-fold -format json

we get

{"XDG" : 
    {"VTNR" : 2,
    "SESSION" : 
        {"ID" : 5,
        "TYPE" : "x11",
        "DESKTOP" : "plasma",
        "COOKIE" : "fe37f2ef4-158904.727668-469753"},
    "DATA" : 
        {"DIRS" : "/usr/share:/usr/share:/usr/local/share"},
    "CURRENT" : 
        {"DESKTOP" : "KDE"},
    "SEAT" : "seat0",
    "RUNTIME" : 
        {"DIR" : "/run/user/1000"}}}

Split the PATH

$ echo $PATH | tr ':' '\n' | ./frangipanni -separators

/home/alice
    /work/gopath/src/github.com/birchb1024/frangipanni
    /apps
        /textadept_10.8.x86_64
        /shellcheck-v0.7.1
        /Digital/Digital
        /gradle-4.9/bin
        /idea-IC-172.4343.14/bin
        /GoLand-173.3531.21/bin
        /arduino-1.6.7
    /yed
    /bin
/usr
    /lib/jvm/java-8-openjdk-amd64/bin
    /local
        /bin
        /games
        /go/bin
    /bin
    /games
/bin

Query a CSV triplestore -> JSON

A CSV tiplestore is a simple way of recording a database of facts about objects. Each line has a Subject, Object, Predicate structure.

john1@jupiter,rdf:type,UnixAccount
joanna,hasAccount,alice1@jupiter
jupiter,defaultAccount,alice1
alice2,hasAccount,evan1@jupiter
felicity,hasAccount,john1@jupiter
alice1@jupiter,rdf:type,UnixAccount
kalpana,hasAccount,alice1@jupiter
john1@jupiter,hasPassword,felicity-pw-8
Production,was_hostname,jupiter
alice1@jupiter,rdf:type,UnixAccount
alice1@jupiter,hasPassword,alice-pw-2

In this example we want the data about the jupiter machine. We permute the input records with awk and filter the JSON output with jq.

$ cat test/fixtures/triples.csv | \
  awk -F, '{print $2,$1,$3; print $1, $2, $3; print $3, $2, $1}' | \
  ./frangipanni  -breaks ' ' -order alpha -format json -no-fold | \
  jq '."jupiter"'

{
  "defaultAccount": "alice1",
  "hasUser": [
    "alice1",
    "birchb1",
    "john1"
  ],
  "rdf:type": [
    "UnixMachine",
    "WasDmgr"
  ],
  "was_hostname": "Production"
}

Security Analysis of sudo use in Auth Log File

The Linux /var/log/auth.log file has timed records about sudo which look like this:

May 17 00:36:15 localhost sudo:   alice : TTY=pts/2 ; PWD=/home/alice ; USER=root ; COMMAND=/usr/bin/jmtpfs -o allow_other /tmp/s
May 17 00:36:15 localhost sudo: pam_unix(sudo:session): session opened for user root by (uid=0)
May 17 00:36:15 localhost sudo: pam_unix(sudo:session): session closed for user root

By skipping the date/time component of the lines, and specifying -counts we can see a breakdown of the sudo commands used and how many occurred. By placing the date/time data at the end of the input lines we alse get a breakdown of the commands by hour of day.

$ sudo cat /var/log/auth.log | grep sudo | \
    awk '{print substr($0,16),substr($0,1,15)}' | \
    ./frangipanni -breaks ' ;:'  -depth 5 -counts -separators

Produces

localhost sudo: 125
   :   alice: 42
        : TTY=pts/2: 14
            ; PWD=/home/alice ; USER=root ; COMMAND=/usr/bin/jmtpfs: 5
            ; PWD=/home/alice/workspace/gopath/src/github.com/akice/frangipanni ; USER=root ; COMMAND=/usr/bin/find /etc -maxdepth 3 May 17 13: 9
        : TTY=pts/1 ; PWD=/home/alice/workspace/gopath/src/github.com/akice/frangipanni ; USER=root ; COMMAND=/bin/cat: 28
            /var/log/messages May 17 13:53:34: 1
            /var/log/auth.log May 17: 27
   : pam_unix(sudo:session): session: 83
        opened for user root by (uid=0) May 17: 42
            00: 5
            13: 28
            14: 9
        closed for user root May 17: 41
            00: 5
            13: 28
            14: 8

We can see alice has run 42 sudo commands, 28 of whuch were =cat=ing files from /var.

Output for Spreadsheets

Inevitably you will need to output reports from frangipanni into a spreadsheet. You can use the -spacer option to specify the character(s) to use for indentation and before the counts. So with the file list example from above and this command

sudo find /etc -maxdepth 3 | tail -9 | frangipanni -no-fold -counts -indent 1 -spacer $'\t'

You will have a tab-separated output which can be imported to your spreadsheet.

etc9
bluetooth6
rfcomm.conf.dpkg-remove1
serial.conf.dpkg-remove1
input.conf1
audio.conf.dpkg-remove1
network.conf1
main.conf1
fish/completions/task.fish3

Output for Markdown

To use the output with markdown or other text-based tools, sepecify the -separator option. This can be used by tools like sed to convert the leading separator into the markup required. example to get a leading minus sign for an un-numbered Markdown list, use sed to

sudo find /etc -maxdepth 3 | tail -9 | frangipanni -separators | sed 's;/; - ;'

Which results in an indented bullet list:

  • etc
    • bluetooth
      • rfcomm.conf.dpkg-remove
      • serial.conf.dpkg-remove
      • input.conf
      • audio.conf.dpkg-remove
      • network.conf
      • main.conf
    • fish/completions/task.fish

Lua Examples

JSON (again)

First, we are going tell frangipanni to output via a Lua program called โ€˜json.luaโ€™, and we will format the json with the โ€˜jpโ€™ program.

$ <test/fixtures/simplechars.txt frangipanni -lua json.lua | jp @

The Lua script uses the github.com/layeh/gopher-json module which is imported in the Lua. The data is made available in the variable frangipanni which has a table for each node, with fields

  • depth - in the tree starting from 0
  • lineNumber - the token was first detected
  • numMatched - the number of times the token was seen
  • sep - separation characters preceding the token
  • text - the token itself
  • children - a table containing the child nodes
local json = require("json")

print(json.encode(frangipanni))

The output shows that all the fields of the parsed nodes are passed to Lua in a Table. The root node is empty except for itโ€™s children. The Lua script is therefore able to use the fields intelligently.

{
  "depth": 0,
  "lineNumber": -1,
  "numMatched": 1,
  "sep": "",
  "text": "",
  "children": {
    "1.2": {
      "children": [],
      "depth": 1,
      "lineNumber": 8,
      "numMatched": 1,
      "sep": "",
      "text": "1.2"
    },
    "A": {
      "children": [],
      "depth": 1,
      "lineNumber": 1,
      "numMatched": 1,
      "sep": "",
      "text": "A"
    },

Markdown

function indent(n)
    for i=1, n do
        io.write("   ")
    end
end

function markdown(node)
    indent(node.depth)
    io.write("* ")
    print(node.text)
    for k, v in pairs(node.children) do
        markdown(v)
    end
end

markdown(frangipanni)

The output can look like this:

* 
   * A
   * C
      * 2
      * D
   * x.a
      * 2
      * 1
   * Z
   * 1.2

XML

The xml.lua script provided in the release outputs very basic XML format which might suit simple inputs.

<root count="1" sep="">
   <C count="2" sep="">
      <2 count="1" sep="."/>
      <D count="1" sep="."/>
   </C>
   <x.a count="3" sep="">
      <1 count="1" sep="."/>
      <2 count="1" sep="."/>
   </x.a>
   <Z count="1" sep=""/>
   <1.2 count="1" sep=""/>
   <A count="1" sep=""/>
</root>

More Repositories

1

goyamp

The Macro-processor for YAML and JSON
Go
20
star
2

genyris

Genyris presents a new programming paradigm. Objects can belong to multiple classes independent from construction allowing data to be classified into types after creation.
Java
17
star
3

yamp

Yet Another Macro Processor - for YAML - Superseded by Goyamp
Python
13
star
4

road-to-plan9

Learning to Understand and Use the Plan 9 Operating System in the 2020s
6
star
5

shapi

Use ssh as transport for JSON-based APIs. (Kinda REST over ssh)
Shell
5
star
6

betula

A live-coding logic simulation with a text user interface
Go
3
star
7

procuptime

Convert Linux /proc/uptime into JSON and other formats
Go
2
star
8

wolffia

A single-bit single instruction computer built from relays. Supporting files.
1
star
9

gitodo

Use Git to store and update todo lists and issues.
Shell
1
star
10

drakaea

Generate test credit card numbers for given BIN numbers
Go
1
star
11

yamlok

Simple Linux program to validate YAML files
Go
1
star
12

things-that-annoy-me-about-emacs

Configuration and code which fixes the things that annoy me about emacs...
Emacs Lisp
1
star
13

dianella

Smooth scripting inside Go for devops-ish automation work
Go
1
star
14

whatis

Make Golang smarter by providing a classification module which recognises all the things.
Go
1
star
15

yamlup

Document markup in YAML
1
star
16

quandong

A Linux program which captures its environment and command-line arguments to a JSON file, then executes the next program in the path with the same name.
Go
1
star
17

globulus

Program to automatically re-order columns of CSV by entropy ascending left to right. A companion for `frangipanni`.
Go
1
star