NAME

Data::Google::Visualization::DataTable - Easily create Google DataTable objects

VERSION

version 0.06

DESCRIPTION

Easily create Google DataTable objects without worrying too much about typed data

OVERVIEW

Google's excellent Visualization suite requires you to format your Javascript data very carefully. It's entirely possible to do this by hand, especially with the help of the most excellent JSON::XS but it's a bit fiddly, largely because Perl doesn't natively support data types and Google's API accepts a super-set of JSON.

This module is attempts to hide the gory details of preparing your data before sending it to a JSON serializer - more specifically, hiding some of the hoops that have to be jump through for making sure your data serializes to the right data types.

More about the Google Visualization API.

Every effort has been made to keep naming conventions as close as possible to those in the API itself.

To use this module, a reasonable knowledge of Perl is assumed. You should be familiar with Perl references and Perl objects.

SYNOPSIS

 use Data::Google::Visualization::DataTable;

 my $datatable = Data::Google::Visualization::DataTable->new();

 $datatable->add_columns(
        { id => 'date',     label => "A Date",        type => 'date', p => {}},
        { id => 'datetime', label => "A Datetime",    type => 'datetime' },
        { id => 'timeofday',label => "A Time of Day", type => 'timeofday' },
        { id => 'bool',     label => "True or False", type => 'boolean' },
        { id => 'number',   label => "Number",        type => 'number' },
        { id => 'string',   label => "Some String",   type => 'string' },
 );

 $datatable->add_rows(

 # Add as array-refs
        [
                { v => DateTime->new() },
                { v => Time::Piece->new(), f => "Right now!" },
                { v => [6, 12, 1], f => '06:12:01' },
                { v => 1, f => 'YES' },
                15.6, # If you're getting lazy
                { v => 'foobar', f => 'Foo Bar', p => { display => 'none' } },
        ],

 # And/or as hash-refs (but only if you defined id's for each of your columns)
        {
                date      => DateTime->new(),
                datetime  => { v => Time::Piece->new(), f => "Right now!" },
                timeofday => [6, 12, 1],
                bool      => 1,
                number    => 15.6,
                string    => { v => 'foobar', f => 'Foo Bar' },
        },

 );

 # Get the data...

 # Fancy-pants
 my $output = $self->output_json(
        columns => ['date','number','string' ],
        pretty  => 1,
 );

 # Vanilla
 my $output = $self->output_json();

COLUMNS, ROWS AND CELLS

We've tried as far as possible to stay as close as possible to the underlying API, so make sure you've had a good read of: Google Visualization API.

Columns

Columns are specified using a hashref, and follow exactly the format of the underlying API itself. All of type, id, label, pattern, and p are supported. The contents of p will be passed directly to JSON::XS to serialize as a whole.

Rows

A row is either a hash-ref where the keys are column IDs and the values are cells, or an array-ref where the values are cells.

Cells

Cells can be specified in several ways, but the best way is using a hash-ref that exactly conforms to the API. v is NOT checked against your data type - but we will attempt to convert it. If you pass in an undefined value, it will return a JS 'null', regardless of the data type. f needs to be a string if you provide it. p will be bassed directly to JSON::XS.

For any of the date-like fields (date, datetime, timeofday), you can pass in 4 types of values. We accept DateTime objects, Time::Piece objects, epoch seconds (as a string - converted internally using localtime), or an array-ref of values that will be passed directly to the resulting Javascript Date object eg:

 Perl:
  date => [ 5, 4, 3 ]
 JS:
  new Date( 5, 4, 3 )

Remember that JS dates 0-index the month.

For non-date fields, if you specify a cell using a string or number, rather than a hashref, that'll be mapped to a cell with v set to the string you specified.

boolean: we test the value you pass in for truth, the Perl way, although undef values will come out as null, not 0.

METHODS

new

Constructor. Accepts no arguments, returns a new object.

add_columns

Accepts zero or more columns, in the format specified above, and adds them to our list of columns. Returns the object. You can't call this method after you've called add_rows for the first time.

add_rows

Accepts zero or more rows, either as a list of hash-refs or a list of array-refs. If you've provided hash-refs, we'll map the key name to the column via its ID (you must have given every column an ID if you want to do this, or it'll cause a fatal error).

If you've provided array-refs, we'll assume each cell belongs in subsequent columns - your array-ref must have the same number of members as you have set columns.

pedantic

We do some data checking for sanity, and we'll issue warnings about things the API considers bad data practice - using reserved words or fancy characters and IDs so far. If you don't want that, simple say:

 $object->pedantic(0);

Defaults to true.

json_xs_object

You may want to configure your JSON::XS object in some magical way. This is a read/write accessor to it. If you didn't understand that, or why you'd want to do that, you can ignore this method.

output_json

Returns a JSON serialization of your object. You can optionally specify two parameters:

pretty - bool - defaults to false - that specifies if you'd like your JSON spread-apart with whitespace. Useful for debugging.

columns - array-ref of strings - pick out certain columns only (and in the order you specify). If you don't provide an argument here, we'll use them all and in the order set in add_columns.

BUG BOUNTY

Find a reproducible bug, file a bug report, and I (Peter Sergeant) will donate $10 to The Perl Foundation (or Wikipedia). Feature Requests are not bugs :-) Offer subject to author's discretion...

AUTHOR

Peter Sergeant pete@clueball.com on behalf of Investor Dynamics - Letting you know what your market is thinking.

SEE ALSO

Python library that does the same thing

JSON::XS - The underlying module

Google Visualization API.

COPYRIGHT

Copyright 2010 Investor Dynamics Ltd, some rights reserved.

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

cpanm Data::Google::Visualization::DataTable

perl -MCPAN -e shell
install Data::Google::Visualization::DataTable