Provided by: libtemplate-perl_2.27-1build11_amd64 bug

NAME

       Template::Tutorial::Datafile - Creating Data Output Files Using the Template Toolkit

DESCRIPTION

Introducing the Template Toolkit

       There are a number of Perl modules that are universally recognised as The Right Thing To Use for certain
       tasks. If you accessed a database without using DBI, pulled data from the WWW without using one of the
       LWP modules or parsed XML without using XML::Parser or one of its subclasses then you'd run the risk of
       being shunned by polite Perl society.

       I believe that the year 2000 saw the emergence of another 'must have' Perl module - the Template Toolkit.
       I don't think I'm alone in this belief as the Template Toolkit won the 'Best New Module' award at the
       Perl Conference last summer. Version 2.0 of the Template Toolkit (known as TT2 to its friends) was
       recently released to the CPAN.

       TT2 was designed and written by Andy Wardley <abw@wardley.org>.  It was born out of Andy's previous
       templating module, Text::Metatext, in best Fred Brooks 'plan to throw one away' manner; and aims to be
       the most useful (or, at least, the most used) Perl templating system.

       TT2 provides a way to take a file of fixed boilerplate text (the template) and embed variable data within
       it. One obvious use of this is in the creation of dynamic web pages and this is where a lot of the
       attention that TT2 has received has been focussed. In this article, I hope to demonstrate that TT2 is
       just as useful in non-web applications.

Using the Template Toolkit

       Let's look at how we'd use TT2 to process a simple data file.  TT2 is an object oriented Perl module.
       Having downloaded it from CPAN and installed it in the usual manner, using it in your program is as easy
       as putting the lines

           use Template;
           my $tt = Template->new;

       in your code. The constructor function, "new", takes a number of optional parameters which are documented
       in the copious manual pages that come with the module, but for the purposes of this article we'll keep
       things as simple as possible.

       To process the template, you would call the "process" method like this

           $tt->process('my_template', \%data)
               || die $tt->error;

       We pass two parameters to "process", the first is the name of the file containing the template to process
       (in this case, my_template) and the second is a reference to a hash which contains the data items that
       you want to use in the template. If processing the template gives  any kind of error, the program will
       die with a (hopefully) useful error message.

       So what kinds of things can go in %data? The answer is just about anything. Here's an example showing
       data about English Premier League football teams.

           my @teams = ({ name   => 'Man Utd',
                          played => 16,
                          won    => 12,
                          drawn  => 3,
                          lost   => 1 },
                        { name   => 'Bradford',
                          played => 16,
                          won    => 2,
                          drawn  => 5,
                          lost   => 9 });

           my %data = ( name   => 'English Premier League',
                        season => '2000/01',
                        teams  => \@teams );

       This creates three data items which can be accessed within the template, called "name", "season" and
       "teams". Notice that "teams" is a complex data structure.

       Here is a template that we might use to process this data.

           League Standings

           League Name: [% name %]
           Season     : [% season %]

           Teams:
           [% FOREACH team = teams -%]
           [% team.name %] [% team.played -%]
            [% team.won %] [% team.drawn %] [% team.lost %]
           [% END %]

       Running this template with this data gives us the following output

                       League Standings

           League Name: English Premier League
           Season     : 2000/01

           Teams:
           Man Utd 16 12 3 1
           Bradford 16 2 5 9

       Hopefully the syntax of the template is simple enough to follow. There are a few points to note.

       •   Template processing directives are written using a simple language which is not Perl.

       •   The keys of the %data have become the names of the data variables within the template.

       •   Template processing directives are surrounded by "[%" and "%]" sequences.

       •   If these tags are replaced with "[%-" "-%]" then the preceding or following linefeed is suppressed.

       •   In  the  "FOREACH"  loop,  each  element  of the "teams" list was assigned, in turn, to the temporary
           variable "team".

       •   Each item assigned to the "team" variable is a Perl hash.  Individual  values  within  the  hash  are
           accessed using a dot notation.

       It's probably the first and last of these points which are the most important. The first point emphasises
       the  separation  of  the  data  acquisition  logic  from  the presentation logic. The person creating the
       presentation template doesn't need to know Perl, they only need to know the  data  items  which  will  be
       passed into the template.

       The  last  point  demonstrates the way that TT2 protects the template designer from the implementation of
       the data structures.  The data objects passed to the template processor can be scalars,  arrays,  hashes,
       objects  or  even  subroutines. The template processor will just interpret your data correctly and Do The
       Right Thing to return the correct value to you. In this example each team was a hash,  but  in  a  larger
       system  each  team  might be an object, in which case "name", "played", etc. would be accessor methods to
       the underlying object attributes. No changes would be required to the template as the template  processor
       would realise that it needed to call methods rather than access hash values.

   A more complex example
       Stats  about the English Football League are usually presented in a slightly more complex format than the
       one we used above. A full set of stats will show the number of games that a team has won, lost or  drawn,
       the number of goals scored for and against the team and the number of points that the team therefore has.
       Teams  gain  three  points  for a win and one point for a draw. When teams have the same number of points
       they are separated by the goal difference, that is the number of goals the  team  has  scored  minus  the
       number  of team scored against them. To complicate things even further, the games won, drawn and lost and
       the goals for and against are often split between home and away games.

       Therefore if you have a data source which lists the team name together with the games won, drawn and lost
       and the goals for and against split into home and away (a total of eleven data items) you  can  calculate
       all of the other items (goal difference, points awarded and even position in the league). Let's take such
       a file, but we'll only look at the top three teams. It will look something like this:

           Man Utd,7,1,0,26,4,5,2,1,15,6
           Arsenal,7,1,0,17,4,2,3,3,7,9
           Leicester,4,3,1,10,8,4,2,2,7,4

       A  simple script to read this data into an array of hashes will look something like this (I've simplified
       the names of the data columns - w, d, and l are games won, drawn and lost and f and a  are  goals  scored
       for  and  against;  h  and  a  at  the  front  of  a data item name indicates whether it's a home or away
       statistic):

           my @cols = qw(name hw hd hl hf ha aw ad al af aa);

           my @teams;
           while (<>) {
               chomp;

               my %team;

               @team{@cols} = split /,/;

               push @teams, \%team;
           }

       We can then go thru the teams again and calculate all of the derived data items:

           foreach (@teams) {
               $_->{w} = $_->{hw} + $_->{aw};
               $_->{d} = $_->{hd} + $_->{ad};
               $_->{l} = $_->{hl} + $_->{al};

               $_->{pl} = $_->{w} + $_->{d} + $_->{l};

               $_->{f} = $_->{hf} + $_->{af};
               $_->{a} = $_->{ha} + $_->{aa};

               $_->{gd} = $_->{f} - $_->{a};
               $_->{pt} = (3 * $_->{w}) + $_->{d};
           }

       And then produce a list sorted in descending order:

           @teams = sort {
               $b->{pt} <=> $b->{pt} || $b->{gd} <=> $a->{gd}
           } @teams;

       And finally add the league position data item:

           $teams[$_]->{pos} = $_ + 1
               foreach 0 .. $#teams;

       Having pulled all of our data into an internal data structure we can start to produce  output  using  out
       templates.  A  template  to create a CSV file containing the data split between home and away stats would
       look like this:

           [% FOREACH team = teams -%]
           [% team.pos %],[% team.name %],[% team.pl %],[% team.hw %],
           [%- team.hd %],[% team.hl %],[% team.hf %],[% team.ha %],
           [%- team.aw %],[% team.ad %],[% team.al %],[% team.af %],
           [%- team.aa %],[% team.gd %],[% team.pt %]
           [%- END %]

       And processing it like this:

           $tt->process('split.tt', { teams => \@teams }, 'split.csv')
             || die $tt->error;

       produces the following output:

           1,Man Utd,16,7,1,0,26,4,5,2,1,15,6,31,39
           2,Arsenal,16,7,1,0,17,4,2,3,3,7,9,11,31
           3,Leicester,16,4,3,1,10,8,4,2,2,7,4,5,29

       Notice that we've introduced the third parameter to "process".  If this parameter is missing then the TT2
       sends its output to "STDOUT". If this parameter is a scalar then it is taken as the name  of  a  file  to
       write  the output to. This parameter can also be (amongst other things) a filehandle or a reference to an
       object which is assumed to implement a "print" method.

       If we weren't interested in the split between home and away games, then we could use a  simpler  template
       like this:

           [% FOREACH team = teams -%]
           [% team.pos %],[% team.name %],[% team.pl %],[% team.w %],
           [%- team.d %],[% team.l %],[% team.f %],[% team.a %],
           [%- team.aa %],[% team.gd %],[% team.pt %]
           [% END -%]

       Which would produce output like this:

           1,Man Utd,16,12,3,1,41,10,6,31,39
           2,Arsenal,16,9,4,3,24,13,9,11,31
           3,Leicester,16,8,5,3,17,12,4,5,29

Producing XML

       This is starting to show some of the power and flexibility of TT2, but you may be thinking that you could
       just as easily produce this output with a "foreach" loop and a couple of "print" statements in your code.
       This  is,  of  course,  true; but that's because I've chosen a deliberately simple example to explain the
       concepts. What if we wanted to produce an XML file containing the data?  And  what  if  (as  I  mentioned
       earlier)  the league data was held in an object? The code would then look even easier as most of the code
       we've written earlier would be hidden away in "FootballLeague.pm".

           use FootballLeague;
           use Template;

           my $league = FootballLeague->new(name => 'English Premier');

           my $tt = Template->new;

           $tt->process('league_xml.tt', { league => $league })
               || die $tt->error;

       And the template in "league_xml.tt" would look something like this:

           <?xml version="1.0"?>
           <!DOCTYPE LEAGUE SYSTEM "league.dtd">

           <league name="[% league.name %]" season="[% league.season %]">
           [% FOREACH team = league.teams -%]
             <team name="[% team.name %]"
                   pos="[% team.pos %]"
                   played="[% team.pl %]"
                   goal_diff="[% team.gd %]"
                   points="[% team.pt %]">
                <stats type="home">
                       win="[% team.hw %]"
                       draw="[%- team.hd %]"
                       lose="[% team.hl %]"
                       for="[% team.hf %]"
                       against="[% team.ha %]" />
                <stats type="away">
                       win="[% team.aw %]"
                       draw="[%- team.ad %]"
                       lose="[% team.al %]"
                       for="[% team.af %]"
                       against="[% team.aa %]" />
             </team>
           [% END -%]
           &/league>

       Notice that as we've passed the whole object into "process" then  we  need  to  put  an  extra  level  of
       indirection  on  our  template variables - everything is now a component of the "league" variable.  Other
       than that, everything in the template  is  very  similar  to  what  we've  used  before.  Presumably  now
       "team.name"  calls  an  accessor  function  rather  than  carrying  out a hash lookup, but all of this is
       transparent to our template designer.

Multiple Formats

       As a final example, let's suppose that we need to create output football league tables  in  a  number  of
       formats. Perhaps we are passing this data on to other people and they can't all use the same format. Some
       of  our  users  need CSV files and others need XML. Some require data split between home and away matches
       and other just want the totals. In total, then, we'll need four different templates, but the good news is
       that they can use the same data object. All the script needs to do is  to  establish  which  template  is
       required and process it.

           use FootballLeague;
           use Template;

           my ($name, $type, $stats) = @_;

           my $league = FootballLeague->new(name => $name);

           my $tt = Template->new;

           $tt->process("league_${type}_$stats.tt",
                        { league => $league }
                        "league_$stats.$type")
               || die $tt->error;

       For example, you can call this script as

           league.pl 'English Premier' xml split

       This  will  process  a  template  called  "league_xml_split.tt"  and  put  the  results  in a file called
       "league_split.xml".

       This starts to show the true strength of the Template Toolkit.  If we later wanted to  add  another  file
       format  -  perhaps  we wanted to create a league table HTML page or even a LaTeX document - then we would
       just need to create the appropriate template and name it according to our existing naming convention.  We
       would need to make no changes to the code.

       I  hope you can now see why the Template Toolkit is fast becoming an essential part of many people's Perl
       installation.

AUTHOR

       Dave Cross <dave@dave.org.uk>

VERSION

       Template Toolkit version 2.19, released on 27 April 2007.

COPYRIGHT

       Copyright (C) 2001 Dave Cross <dave@dave.org.uk>

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

perl v5.40.0                                       2024-10-20                  Template::Tutorial::Datafile(3pm)