Frangipanni

frangipanni

Program to convert lines of text into beautiful tree structures.

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 we’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. =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 '^XDG' :

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.

etc	9
bluetooth	6
	rfcomm.conf.dpkg-remove	1
	serial.conf.dpkg-remove	1
	input.conf	1
	audio.conf.dpkg-remove	1
	network.conf	1
	main.conf	1
fish/completions/task.fish	3

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 ‘json.lua’, and we will format the json with the ‘jp’ 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 it’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>

Name		Name	Last commit message	Last commit date
Latest commit History 70 Commits
doc		doc
test		test
.gitignore		.gitignore
LICENSE		LICENSE
README.html		README.html
README.org		README.org
args.lua		args.lua
build.sh		build.sh
frangipanni.go		frangipanni.go
frangipanni.jpg		frangipanni.jpg
go.mod		go.mod
go.sum		go.sum
json.lua		json.lua
markdown.lua		markdown.lua
xml.lua		xml.lua

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Frangipanni

frangipanni

Basic Operation

Usage

Options

Examples

Log files

Data from environment variables

Split the PATH

Query a CSV triplestore -> JSON

Security Analysis of sudo use in Auth Log File

Output for Spreadsheets

Output for Markdown

Lua Examples

JSON (again)

Markdown

XML

About

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Contributors 4

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birchb1024/frangipanni

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Frangipanni

frangipanni

Basic Operation

Usage

Options

Examples

Log files

Data from environment variables

Split the PATH

Query a CSV triplestore -> JSON

Security Analysis of sudo use in Auth Log File

Output for Spreadsheets

Output for Markdown

Lua Examples

JSON (again)

Markdown

XML

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