SYNOPSIS

Language to validate text output.

Install

cpanm Outthentic

Glossary

Outthentic DSL

Check files

A plain text files containing program code written on DSL to describe text validation process.

Code

Content of check file. Should be program code written on DSL.

Stdout

It's convenient to refer to the text validate by as stdout, thinking that one program generates and yields output into stdout which is then validated.

Parser

Parser is the program which:

Validation process

Validation process consists of:

Parser API

Outthentic provides program api for parser:

use Test::More qw{no_plan};

use Outthentic::DSL;

my $outh = Outthentic::DSL->new('stdout string', $opts);
$outh->validate('path/to/check/file','stdout string');


for my $r ( @{$outh->results}){
    ok($r->{status}, $r->{message}) if $r->{type} eq 'check_expression';
    diag($r->{message}) if $r->{type} eq 'debug';

}

Methods list:

new

This is constructor, create Outthentic::DSL instance.

Obligatory parameters is:

Optional parameters is passed as hashref:

Default value is `40'

validate

Runs parser for check file and and initiates validation process against stdout.

Obligatory parameter is:

results

Returns validation results as arrayref containing { type, status, message } hashrefs.

Outthentic client

Client is a external program using DSL API. Existed outthentic clients:

More clients wanted :) , please write me if you have one!

Outthentic entities

Outthentic DSL comprises following basic entities:

Check expressions

Check expressions defines lines stdout should match. Here is a simple example:

# stdout

HELLO
HELLO WORLD
My birth day is: 1977-04-16


# check list

HELLO
regexp: \d\d\d\d-\d\d-\d\d


# validation results

+--------+------------------------------+
| status | message                      |
+--------+------------------------------+
| OK     | matches "HELLO"              |
| OK     | matches /\d\d\d\d-\d\d-\d\d/ |
+--------+------------------------------+

There are two basic types of check expressions - plain strings and regular expressions.

It is convenient to talk about check list as of all check expressions in a given check file.

Plain string expressions

    I am ok
    HELLO Outthentic

The code above declares that stdout should have lines 'I am ok' and 'HELLO Outthentic'.

Regular expressions

Similarly to plain strings matching, you may require that stdout has lines matching the regular expressions:

regexp: \d\d\d\d-\d\d-\d\d # date in format of YYYY-MM-DD
regexp: Name: \w+ # name
regexp: App Version Number: \d+\.\d+\.\d+ # version number

Regular expressions should start with `regexp:' marker.

One or many?

Parser does not care about how many times a given check expression is found in stdout.

It's only required that at least one line in stdout match the check expression ( this is not the case with text blocks, see later )

However it's possible to accumulate all matching lines and save them for further processing:

regexp: (Hello, my name is (\w+))

See "captures" section for full explanation of a captures mechanism:

Comments, blank lines and text blocks

Comments and blank lines don't impact validation process but one could use them to improve code readability.

Comments

Comment lines start with `#' symbol, comments chunks are ignored by parser:

# comments could be represented at a distinct line, like here
The beginning of story
Hello World # or could be added to existed expression to the right, like here

Blank lines

Blank lines are ignored as well:

# every story has the beginning
The beginning of a story
# then 2 blank lines


# end has the end
The end of a story

But you can't ignore blank lines in a `text block matching' context ( see `text blocks' subsection ), use `:blank_line' marker to match blank lines:

# :blank_line marker matches blank lines
# this is especially useful
# when match in text blocks context:

begin:
    this line followed by 2 blank lines
    :blank_line
    :blank_line
end:

Text blocks

Sometimes it is very helpful to match a stdout against a `block of strings' goes consequentially, like here:

# this text block
# consists of 5 strings
# goes consequentially
# line by line:

begin:
    # plain strings
    this string followed by
    that string followed by
    another one
    # regexps patterns:
    regexp: with (this|that)
    # and the last one in a block
    at the very end
end:

This validation will succeed when gets executed against this chunk:

this string followed by
that string followed by
another one string
with that string
at the very end.

But will not for this chunk:

that string followed by
this string followed by
another one string
with that string
at the very end.

`begin:' `end:' markers decorate `text blocks' content. `:being|:end' markers should not be followed by any text at the same line.

Also be aware if you leave "dangling" `begin:' marker without closing `end': somewhere else

Parser will remain in a `text block' mode till the end of check file, which is probably not you want:

    begin:
        here we begin
        and till the very end of test

        we are in `text block` mode

Perl expressions

Perl expressions are just a pieces of perl code to get evaled during parsing process. This is how it works:

# perl expression between two check expressions
Once upon a time
code: print "hello I am Outthentic"
Lived a boy called Outthentic

Internally once check file gets parsed this piece of DSL code is "turned" into regular perl code:

execute_check_expression("Once upon a time");
eval 'print "Lived a boy called Outthentic"';
execute_check_expression("Lived a boy called Outthentic");

One of the use case for perl expressions is to store `captures' data:

regexp: my name is (\w+) and my age is (\d+)
code: $main::data{name} = capture()->[0]; $main::data{age} = capture()->[1]; 

Validators

For example:

# this is always true
validator: [ 10>1 , 'ten is bigger then one' ]

# and this is not
validator: [ 1>10, 'one is bigger then ten'  ]

This is a simple example:

# stdout
# it's my family ages.
alex    38
julia   32
jan     2


# let's capture name and age chunks
regexp: /(\w+)\s+(\d+)/

validator:                          \
my $total=0;                        \
for my $c (@{captures()}) {         \
    $total+=$c->[0];                \
}                                   \
[ ( $total == 72 ), "total age" ] 

Generators

Here is simple example:

# original check list

Say
HELLO

# this generator creates 3 new check expressions:

generator: [ qw{ say hello again } ]


# final check list:

Say
HELLO
say
hello
again

Here is more complicated example:

# this generator generates
# comment lines
# and plain string check expressions:

generator: my %d = { 'foo' => 'foo value', 'bar' => 'bar value' }; [ map  { ( "# $_", "$data{$_}" )  } keys %d ]

# generated entries:

# foo
foo value
# bar
bar value

Multiline expressions

When generate and execute check expressions parser operates in a single line mode :

For example:

# check list
# consists of
# single line entries

Multiline
string
here
regexp: Multiline \n string \n here

# stdout
Multiline
string
here

 # validation results

+--------+---------------------------------------+
| status | message                               |
+--------+---------------------------------------+
| OK     | matches "Multiline"                   |
| OK     | matches "string"                      |
| OK     | matches "here"                        |
| FAIL   | matches /Multiline \n string \n here/ |
+--------+---------------------------------------+

Use text blocks if you want to achieve multiline checks.

However when writing perl expressions, validators or generators one could use multilines strings.

`' delimiters breaks a single line text on a multi lines:

# What about to validate stdout
# With sqlite database entries?

generator:                                                          \

use DBI;                                                            \
my $dbh = DBI->connect("dbi:SQLite:dbname=t/data/test.db","","");   \
my $sth = $dbh->prepare("SELECT name from users");                  \
$sth->execute();                                                    \
my $results = $sth->fetchall_arrayref;                              \

[ map { $_->[0] } @${results} ]

Captures

Captures are pieces of data get captured when parser validates stdout against a regular expressions:

# stdout
# it's my family ages.
alex    38
julia   32
jan     2


# let's capture name and age chunks
regexp: /(\w+)\s+(\d+)/

After this regular expression check gets executed captured data will stored into a array:

[
    ['alex',    38 ]
    ['julia',   32 ]
    ['jan',     2  ]
]

Then captured data might be accessed for example by code generator to define some extra checks:

validator:                          \
my $total=0;                        \
for my $c (@{captures()}) {         \
    $total+=$c->[0];                \
}                                   \
[ ($total == 72 ), "total age of my family" ];

Here some more examples:

# check if stdout contains numbers,
# then calculate total amount
# and check if it is greater then 10

regexp: (\d+)

validator:                          \
my $total=0;                        \
for my $c (@{captures()}) {         \
    $total+=$c->[0];                \
}                                   \
[ ( $total > 10 ) "total amount is greater than 10" ]


# check if stdout contains lines
# with date formatted as date: YYYY-MM-DD
# and then check if first date found is yesterday

regexp: date: (\d\d\d\d)-(\d\d)-(\d\d)

validator:                          \
use DateTime;                       \
my $c = captures()->[0];            \
my $dt = DateTime->new( year => $c->[0], month => $c->[1], day => $c->[2]  ); \
my $yesterday = DateTime->now->subtract( days =>  1 );                        \

[ ( DateTime->compare($dt, $yesterday) == 0 ),"first day found is - $dt and this is a yesterday" ];

You also may use `capture()' function to get a first element of captures array:

# check if stdout contains numbers
# a first number should be greater then ten

regexp: (\d+)
validator: [ ( capture()->[0] >  10 ), " first number is greater than 10 " ];

Within expressions

Within expression acts like regular expression but narrows search context to last matching line:

# one of 3 colors:
within: color: (red|green|blue)

# if within expression is successfully passed
# new search context is last matching line  

In other words when `:within' marker is used parser tries to validate stdout against regular expression following after :within marker and if validation is successful new search context is defined:

# one of 3 colors:
within: color: (red|green|blue)

# I really need a red color
red

The code above does follows:

Here more examples:

# try to find a date string in following format
within: date: \d\d\d\d-\d\d-\d\d

# we only need a dates in 2000 year
2000-

Within expressions could be sequential, which effectively means using `&&' logical operators for within expressions:

# try to find a date string in following format
within: date: \d\d\d\d-\d\d-\d\d

# and try to find year of 2000 in a date string
within: 2000-\d\d-\d\d

# and try to find month 04 in a date string
within: \d\d\d\d-04-\d\d

Author

Aleksei Melezhik

Home page

https://github.com/melezhik/outthentic-dsl

COPYRIGHT

Copyright 2015 Alexey Melezhik.

This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself.

Thanks