package DBIx::Class::Fixtures;
use strict;
use warnings;
use DBIx::Class 0.08100;
use DBIx::Class::Exception;
use Class::Accessor::Grouped;
use Path::Class qw(dir file tempdir);
use File::Spec::Functions 'catfile', 'catdir';
use Config::Any::JSON;
use Data::Dump::Streamer;
use Data::Visitor::Callback;
use File::Path;
use File::Copy::Recursive qw/dircopy/;
use File::Copy qw/move/;
use Hash::Merge qw( merge );
use Data::Dumper;
use Class::C3::Componentised;
use MIME::Base64;
use base qw(Class::Accessor::Grouped);
our $namespace_counter = 0;
__PACKAGE__->mk_group_accessors( 'simple' => qw/config_dir
_inherited_attributes debug schema_class dumped_objects config_attrs/);
our $VERSION = '1.001019';
=head1 NAME
DBIx::Class::Fixtures - Dump data and repopulate a database using rules
=head1 SYNOPSIS
use DBIx::Class::Fixtures;
...
my $fixtures = DBIx::Class::Fixtures->new({
config_dir => '/home/me/app/fixture_configs'
});
$fixtures->dump({
config => 'set_config.json',
schema => $source_dbic_schema,
directory => '/home/me/app/fixtures'
});
$fixtures->populate({
directory => '/home/me/app/fixtures',
ddl => '/home/me/app/sql/ddl.sql',
connection_details => ['dbi:mysql:dbname=app_dev', 'me', 'password'],
post_ddl => '/home/me/app/sql/post_ddl.sql',
});
=head1 DESCRIPTION
Dump fixtures from source database to filesystem then import to another
database (with same schema) at any time. Use as a constant dataset for running
tests against or for populating development databases when impractical to use
production clones. Describe fixture set using relations and conditions based on
your DBIx::Class schema.
=head1 DEFINE YOUR FIXTURE SET
Fixture sets are currently defined in .json files which must reside in your
config_dir (e.g. /home/me/app/fixture_configs/a_fixture_set.json). They
describe which data to pull and dump from the source database.
For example:
{
"sets": [
{
"class": "Artist",
"ids": ["1", "3"]
},
{
"class": "Producer",
"ids": ["5"],
"fetch": [
{
"rel": "artists",
"quantity": "2"
}
]
}
]
}
This will fetch artists with primary keys 1 and 3, the producer with primary
key 5 and two of producer 5's artists where 'artists' is a has_many DBIx::Class
rel from Producer to Artist.
The top level attributes are as follows:
=head2 sets
Sets must be an array of hashes, as in the example given above. Each set
defines a set of objects to be included in the fixtures. For details on valid
set attributes see L</SET ATTRIBUTES> below.
=head2 rules
Rules place general conditions on classes. For example if whenever an artist
was dumped you also wanted all of their cds dumped too, then you could use a
rule to specify this. For example:
{
"sets": [
{
"class": "Artist",
"ids": ["1", "3"]
},
{
"class": "Producer",
"ids": ["5"],
"fetch": [
{
"rel": "artists",
"quantity": "2"
}
]
}
],
"rules": {
"Artist": {
"fetch": [ {
"rel": "cds",
"quantity": "all"
} ]
}
}
}
In this case all the cds of artists 1, 3 and all producer 5's artists will be
dumped as well. Note that 'cds' is a has_many DBIx::Class relation from Artist
to CD. This is eqivalent to:
{
"sets": [
{
"class": "Artist",
"ids": ["1", "3"],
"fetch": [ {
"rel": "cds",
"quantity": "all"
} ]
},
{
"class": "Producer",
"ids": ["5"],
"fetch": [ {
"rel": "artists",
"quantity": "2",
"fetch": [ {
"rel": "cds",
"quantity": "all"
} ]
} ]
}
]
}
rules must be a hash keyed by class name.
L</RULE ATTRIBUTES>
=head2 includes
To prevent repetition between configs you can include other configs. For
example:
{
"sets": [ {
"class": "Producer",
"ids": ["5"]
} ],
"includes": [
{ "file": "base.json" }
]
}
Includes must be an arrayref of hashrefs where the hashrefs have key 'file'
which is the name of another config file in the same directory. The original
config is merged with its includes using L<Hash::Merge>.
=head2 datetime_relative
Only available for MySQL and PostgreSQL at the moment, must be a value that
DateTime::Format::* can parse. For example:
{
"sets": [ {
"class": "RecentItems",
"ids": ["9"]
} ],
"datetime_relative": "2007-10-30 00:00:00"
}
This will work when dumping from a MySQL database and will cause any datetime
fields (where datatype => 'datetime' in the column def of the schema class) to
be dumped as a DateTime::Duration object relative to the date specified in the
datetime_relative value. For example if the RecentItem object had a date field
set to 2007-10-25, then when the fixture is imported the field will be set to 5
days in the past relative to the current time.
=head2 might_have
Specifies whether to automatically dump might_have relationships. Should be a
hash with one attribute - fetch. Set fetch to 1 or 0.
{
"might_have": { "fetch": 1 },
"sets": [
{
"class": "Artist",
"ids": ["1", "3"]
},
{
"class": "Producer",
"ids": ["5"]
}
]
}
Note: belongs_to rels are automatically dumped whether you like it or not, this
is to avoid FKs to nowhere when importing. General rules on has_many rels are
not accepted at this top level, but you can turn them on for individual sets -
see L</SET ATTRIBUTES>.
=head1 SET ATTRIBUTES
=head2 class
Required attribute. Specifies the DBIx::Class object class you wish to dump.
=head2 ids
Array of primary key ids to fetch, basically causing an $rs->find($_) for each.
If the id is not in the source db then it just won't get dumped, no warnings or
death.
=head2 quantity
Must be either an integer or the string 'all'. Specifying an integer will
effectively set the 'rows' attribute on the resultset clause, specifying 'all'
will cause the rows attribute to be left off and for all matching rows to be
dumped. There's no randomising here, it's just the first x rows.
=head2 cond
A hash specifying the conditions dumped objects must match. Essentially this is
a JSON representation of a DBIx::Class search clause. For example:
{
"sets": [{
"class": "Artist",
"quantiy": "all",
"cond": { "name": "Dave" }
}]
}
This will dump all artists whose name is 'dave'. Essentially
$artist_rs->search({ name => 'Dave' })->all.
Sometimes in a search clause it's useful to use scalar refs to do things like:
$artist_rs->search({ no1_singles => \'> no1_albums' })
This could be specified in the cond hash like so:
{
"sets": [ {
"class": "Artist",
"quantiy": "all",
"cond": { "no1_singles": "\> no1_albums" }
} ]
}
So if the value starts with a backslash the value is made a scalar ref before
being passed to search.
=head2 join
An array of relationships to be used in the cond clause.
{
"sets": [ {
"class": "Artist",
"quantiy": "all",
"cond": { "cds.position": { ">": 4 } },
"join": ["cds"]
} ]
}
Fetch all artists who have cds with position greater than 4.
=head2 fetch
Must be an array of hashes. Specifies which rels to also dump. For example:
{
"sets": [ {
"class": "Artist",
"ids": ["1", "3"],
"fetch": [ {
"rel": "cds",
"quantity": "3",
"cond": { "position": "2" }
} ]
} ]
}
Will cause the cds of artists 1 and 3 to be dumped where the cd position is 2.
Valid attributes are: 'rel', 'quantity', 'cond', 'has_many', 'might_have' and
'join'. rel is the name of the DBIx::Class rel to follow, the rest are the same
as in the set attributes. quantity is necessary for has_many relationships, but
not if using for belongs_to or might_have relationships.
=head2 has_many
Specifies whether to fetch has_many rels for this set. Must be a hash
containing keys fetch and quantity.
Set fetch to 1 if you want to fetch them, and quantity to either 'all' or an
integer.
Be careful here, dumping has_many rels can lead to a lot of data being dumped.
=head2 might_have
As with has_many but for might_have relationships. Quantity doesn't do anything
in this case.
This value will be inherited by all fetches in this set. This is not true for
the has_many attribute.
=head2 external
In some cases your database information might be keys to values in some sort of
external storage. The classic example is you are using L<DBIx::Class::InflateColumn::FS>
to store blob information on the filesystem. In this case you may wish the ability
to backup your external storage in the same way your database data. The L</external>
attribute lets you specify a handler for this type of issue. For example:
{
"sets": [{
"class": "Photo",
"quantity": "all",
"external": {
"file": {
"class": "File",
"args": {"path":"__ATTR(photo_dir)__"}
}
}
}]
}
This would use L<DBIx::Class::Fixtures::External::File> to read from a directory
where the path to a file is specified by the C<file> field of the C<Photo> source.
We use the uninflated value of the field so you need to completely handle backup
and restore. For the common case we provide L<DBIx::Class::Fixtures::External::File>
and you can create your own custom handlers by placing a '+' in the namespace:
"class": "+MyApp::Schema::SomeExternalStorage",
Although if possible I'd love to get patches to add some of the other common
types (I imagine storage in MogileFS, Redis, etc or even Amazon might be popular.)
See L<DBIx::Class::Fixtures::External::File> for the external handler interface.
=head1 RULE ATTRIBUTES
=head2 cond
Same as with L</SET ATTRIBUTES>
=head2 fetch
Same as with L</SET ATTRIBUTES>
=head2 join
Same as with L</SET ATTRIBUTES>
=head2 has_many
Same as with L</SET ATTRIBUTES>
=head2 might_have
Same as with L</SET ATTRIBUTES>
=head1 RULE SUBSTITUTIONS
You can provide the following substitution patterns for your rule values. An
example of this might be:
{
"sets": [{
"class": "Photo",
"quantity": "__ENV(NUMBER_PHOTOS_DUMPED)__",
}]
}
=head2 ENV
Provide a value from %ENV
=head2 ATTR
Provide a value from L</config_attrs>
=head2 catfile
Create the path to a file from a list
=head2 catdir
Create the path to a directory from a list
=head1 METHODS
=head2 new
=over 4
=item Arguments: \%$attrs
=item Return Value: $fixture_object
=back
Returns a new DBIx::Class::Fixture object. %attrs can have the following
parameters:
=over
=item config_dir:
required. must contain a valid path to the directory in which your .json
configs reside.
=item debug:
determines whether to be verbose
=item ignore_sql_errors:
ignore errors on import of DDL etc
=item config_attrs
A hash of information you can use to do replacements inside your configuration
sets. For example, if your set looks like:
{
"sets": [ {
"class": "Artist",
"ids": ["1", "3"],
"fetch": [ {
"rel": "cds",
"quantity": "__ATTR(quantity)__",
} ]
} ]
}
my $fixtures = DBIx::Class::Fixtures->new( {
config_dir => '/home/me/app/fixture_configs'
config_attrs => {
quantity => 100,
},
});
You may wish to do this if you want to let whoever runs the dumps have a bit
more control
=back
my $fixtures = DBIx::Class::Fixtures->new( {
config_dir => '/home/me/app/fixture_configs'
} );
=cut
sub new {
my $class = shift;
my ($params) = @_;
unless (ref $params eq 'HASH') {
return DBIx::Class::Exception->throw('first arg to DBIx::Class::Fixtures->new() must be hash ref');
}
unless ($params->{config_dir}) {
return DBIx::Class::Exception->throw('config_dir param not specified');
}
my $config_dir = dir($params->{config_dir});
unless (-e $params->{config_dir}) {
return DBIx::Class::Exception->throw('config_dir directory doesn\'t exist');
}
my $self = {
config_dir => $config_dir,
_inherited_attributes => [qw/datetime_relative might_have rules belongs_to/],
debug => $params->{debug} || 0,
ignore_sql_errors => $params->{ignore_sql_errors},
dumped_objects => {},
use_create => $params->{use_create} || 0,
config_attrs => $params->{config_attrs} || {},
};
bless $self, $class;
return $self;
}
=head2 available_config_sets
Returns a list of all the config sets found in the L</config_dir>. These will
be a list of the json based files containing dump rules.
=cut
my @config_sets;
sub available_config_sets {
@config_sets = scalar(@config_sets) ? @config_sets : map {
$_->basename;
} grep {
-f $_ && $_=~/json$/;
} dir((shift)->config_dir)->children;
}
=head2 dump
=over 4
=item Arguments: \%$attrs
=item Return Value: 1
=back
$fixtures->dump({
config => 'set_config.json', # config file to use. must be in the config
# directory specified in the constructor
schema => $source_dbic_schema,
directory => '/home/me/app/fixtures' # output directory
});
or
$fixtures->dump({
all => 1, # just dump everything that's in the schema
schema => $source_dbic_schema,
directory => '/home/me/app/fixtures' # output directory
});
In this case objects will be dumped to subdirectories in the specified
directory. For example:
/home/me/app/fixtures/artist/1.fix
/home/me/app/fixtures/artist/3.fix
/home/me/app/fixtures/producer/5.fix
schema and directory are required attributes. also, one of config or all must
be specified.
Lastly, the C<config> parameter can be a Perl HashRef instead of a file name.
If this form is used your HashRef should conform to the structure rules defined
for the JSON representations.
=cut
sub dump {
my $self = shift;
my ($params) = @_;
unless (ref $params eq 'HASH') {
return DBIx::Class::Exception->throw('first arg to dump must be hash ref');
}
foreach my $param (qw/schema directory/) {
unless ($params->{$param}) {
return DBIx::Class::Exception->throw($param . ' param not specified');
}
}
if($params->{excludes} && !$params->{all}) {
return DBIx::Class::Exception->throw("'excludes' param only works when using the 'all' param");
}
my $schema = $params->{schema};
my $config;
if ($params->{config}) {
$config = ref $params->{config} eq 'HASH' ?
$params->{config} :
do {
#read config
my $config_file = $self->config_dir->file($params->{config});
$self->load_config_file($config_file);
};
} elsif ($params->{all}) {
my %excludes = map {$_=>1} @{$params->{excludes}||[]};
$config = {
might_have => { fetch => 0 },
has_many => { fetch => 0 },
belongs_to => { fetch => 0 },
sets => [
map {
{ class => $_, quantity => 'all' };
} grep {
!$excludes{$_}
} $schema->sources],
};
} else {
DBIx::Class::Exception->throw('must pass config or set all');
}
my $output_dir = dir($params->{directory});
unless (-e $output_dir) {
$output_dir->mkpath ||
DBIx::Class::Exception->throw("output directory does not exist at $output_dir");
}
$self->msg("generating fixtures");
my $tmp_output_dir = tempdir();
if (-e $tmp_output_dir) {
$self->msg("- clearing existing $tmp_output_dir");
$tmp_output_dir->rmtree;
}
$self->msg("- creating $tmp_output_dir");
$tmp_output_dir->mkpath;
# write version file (for the potential benefit of populate)
$tmp_output_dir->file('_dumper_version')
->openw
->print($VERSION);
# write our current config set
$tmp_output_dir->file('_config_set')
->openw
->print( Dumper $config );
$config->{rules} ||= {};
my @sources = sort { $a->{class} cmp $b->{class} } @{delete $config->{sets}};
while ( my ($k,$v) = each %{ $config->{rules} } ) {
if ( my $source = eval { $schema->source($k) } ) {
$config->{rules}{$source->source_name} = $v;
}
}
foreach my $source (@sources) {
# apply rule to set if specified
my $rule = $config->{rules}->{$source->{class}};
$source = merge( $source, $rule ) if ($rule);
# fetch objects
my $rs = $schema->resultset($source->{class});
if ($source->{cond} and ref $source->{cond} eq 'HASH') {
# if value starts with \ assume it's meant to be passed as a scalar ref
# to dbic. ideally this would substitute deeply
$source->{cond} = {
map {
$_ => ($source->{cond}->{$_} =~ s/^\\//) ? \$source->{cond}->{$_}
: $source->{cond}->{$_}
} keys %{$source->{cond}}
};
}
$rs = $rs->search($source->{cond}, { join => $source->{join} })
if $source->{cond};
$self->msg("- dumping $source->{class}");
my %source_options = ( set => { %{$config}, %{$source} } );
if ($source->{quantity}) {
$rs = $rs->search({}, { order_by => $source->{order_by} })
if $source->{order_by};
if ($source->{quantity} =~ /^\d+$/) {
$rs = $rs->search({}, { rows => $source->{quantity} });
} elsif ($source->{quantity} ne 'all') {
DBIx::Class::Exception->throw("invalid value for quantity - $source->{quantity}");
}
}
elsif ($source->{ids} && @{$source->{ids}}) {
my @ids = @{$source->{ids}};
my (@pks) = $rs->result_source->primary_columns;
die "Can't dump multiple col-pks using 'id' option" if @pks > 1;
$rs = $rs->search_rs( { $pks[0] => { -in => \@ids } } );
}
else {
DBIx::Class::Exception->throw('must specify either quantity or ids');
}
$source_options{set_dir} = $tmp_output_dir;
$self->dump_rs($rs, \%source_options );
}
# clear existing output dir
foreach my $child ($output_dir->children) {
if ($child->is_dir) {
next if ($child eq $tmp_output_dir);
if (grep { $_ =~ /\.fix/ } $child->children) {
$child->rmtree;
}
} elsif ($child =~ /_dumper_version$/) {
$child->remove;
}
}
$self->msg("- moving temp dir to $output_dir");
move($_, dir($output_dir, $_->relative($_->parent)->stringify))
for $tmp_output_dir->children;
if (-e $output_dir) {
$self->msg("- clearing tmp dir $tmp_output_dir");
# delete existing fixture set
$tmp_output_dir->remove;
}
$self->msg("done");
return 1;
}
sub load_config_file {
my ($self, $config_file) = @_;
DBIx::Class::Exception->throw("config does not exist at $config_file")
unless -e $config_file;
my $config = Config::Any::JSON->load($config_file);
#process includes
if (my $incs = $config->{includes}) {
$self->msg($incs);
DBIx::Class::Exception->throw(
'includes params of config must be an array ref of hashrefs'
) unless ref $incs eq 'ARRAY';
foreach my $include_config (@$incs) {
DBIx::Class::Exception->throw(
'includes params of config must be an array ref of hashrefs'
) unless (ref $include_config eq 'HASH') && $include_config->{file};
my $include_file = $self->config_dir->file($include_config->{file});
DBIx::Class::Exception->throw("config does not exist at $include_file")
unless -e $include_file;
my $include = Config::Any::JSON->load($include_file);
$self->msg($include);
$config = merge( $config, $include );
}
delete $config->{includes};
}
# validate config
return DBIx::Class::Exception->throw('config has no sets')
unless $config && $config->{sets} &&
ref $config->{sets} eq 'ARRAY' && scalar @{$config->{sets}};
$config->{might_have} = { fetch => 0 } unless exists $config->{might_have};
$config->{has_many} = { fetch => 0 } unless exists $config->{has_many};
$config->{belongs_to} = { fetch => 1 } unless exists $config->{belongs_to};
return $config;
}
sub dump_rs {
my ($self, $rs, $params) = @_;
while (my $row = $rs->next) {
$self->dump_object($row, $params);
}
}
sub dump_object {
my ($self, $object, $params) = @_;
my $set = $params->{set};
my $v = Data::Visitor::Callback->new(
plain_value => sub {
my ($visitor, $data) = @_;
my $subs = {
ENV => sub {
my ( $self, $v ) = @_;
if (! defined($ENV{$v})) {
return "";
} else {
return $ENV{ $v };
}
},
ATTR => sub {
my ($self, $v) = @_;
if(my $attr = $self->config_attrs->{$v}) {
return $attr;
} else {
return "";
}
},
catfile => sub {
my ($self, @args) = @_;
catfile(@args);
},
catdir => sub {
my ($self, @args) = @_;
catdir(@args);
},
};
my $subsre = join( '|', keys %$subs );
$_ =~ s{__($subsre)(?:\((.+?)\))?__}{ $subs->{ $1 }->( $self, $2 ? split( /,/, $2 ) : () ) }eg;
return $_;
}
);
$v->visit( $set );
die 'no dir passed to dump_object' unless $params->{set_dir};
die 'no object passed to dump_object' unless $object;
my @inherited_attrs = @{$self->_inherited_attributes};
my @pk_vals = map {
$object->get_column($_)
} $object->primary_columns;
my $key = join("\0", @pk_vals);
my $src = $object->result_source;
my $exists = $self->dumped_objects->{$src->name}{$key}++;
# write dir and gen filename
my $source_dir = $params->{set_dir}->subdir(lc $src->from);
$source_dir->mkpath(0, 0777);
# strip dir separators from file name
my $file = $source_dir->file(
join('-', map { s|[/\\]|_|g; $_; } @pk_vals) . '.fix'
);
# write file
unless ($exists) {
$self->msg('-- dumping ' . $file->stringify, 2);
my %ds = $object->get_columns;
if($set->{external}) {
foreach my $field (keys %{$set->{external}}) {
my $key = $ds{$field};
my ($plus, $class) = ( $set->{external}->{$field}->{class}=~/^(\+)*(.+)$/);
my $args = $set->{external}->{$field}->{args};
$class = "DBIx::Class::Fixtures::External::$class" unless $plus;
eval "use $class";
$ds{external}->{$field} =
encode_base64( $class
->backup($key => $args));
}
}
# mess with dates if specified
if ($set->{datetime_relative}) {
my $formatter= $object->result_source->schema->storage->datetime_parser;
unless ($@ || !$formatter) {
my $dt;
if ($set->{datetime_relative} eq 'today') {
$dt = DateTime->today;
} else {
$dt = $formatter->parse_datetime($set->{datetime_relative}) unless ($@);
}
while (my ($col, $value) = each %ds) {
my $col_info = $object->result_source->column_info($col);
next unless $value
&& $col_info->{_inflate_info}
&& (
(uc($col_info->{data_type}) eq 'DATETIME')
or (uc($col_info->{data_type}) eq 'DATE')
or (uc($col_info->{data_type}) eq 'TIME')
or (uc($col_info->{data_type}) eq 'TIMESTAMP')
or (uc($col_info->{data_type}) eq 'INTERVAL')
);
$ds{$col} = $object->get_inflated_column($col)->subtract_datetime($dt);
}
} else {
warn "datetime_relative not supported for this db driver at the moment";
}
}
# do the actual dumping
my $serialized = Dump(\%ds)->Out();
$file->openw->print($serialized);
}
# don't bother looking at rels unless we are actually planning to dump at least one type
my ($might_have, $belongs_to, $has_many) = map {
$set->{$_}{fetch} || $set->{rules}{$src->source_name}{$_}{fetch}
} qw/might_have belongs_to has_many/;
return unless $might_have
|| $belongs_to
|| $has_many
|| $set->{fetch};
# dump rels of object
unless ($exists) {
foreach my $name (sort $src->relationships) {
my $info = $src->relationship_info($name);
my $r_source = $src->related_source($name);
# if belongs_to or might_have with might_have param set or has_many with
# has_many param set then
if (
( $info->{attrs}{accessor} eq 'single' &&
(!$info->{attrs}{join_type} || $might_have)
)
|| $info->{attrs}{accessor} eq 'filter'
||
($info->{attrs}{accessor} eq 'multi' && $has_many)
) {
my $related_rs = $object->related_resultset($name);
my $rule = $set->{rules}->{$related_rs->result_source->source_name};
# these parts of the rule only apply to has_many rels
if ($rule && $info->{attrs}{accessor} eq 'multi') {
$related_rs = $related_rs->search(
$rule->{cond},
{ join => $rule->{join} }
) if ($rule->{cond});
$related_rs = $related_rs->search(
{},
{ rows => $rule->{quantity} }
) if ($rule->{quantity} && $rule->{quantity} ne 'all');
$related_rs = $related_rs->search(
{},
{ order_by => $rule->{order_by} }
) if ($rule->{order_by});
}
if ($set->{has_many}{quantity} &&
$set->{has_many}{quantity} =~ /^\d+$/) {
$related_rs = $related_rs->search(
{},
{ rows => $set->{has_many}->{quantity} }
);
}
my %c_params = %{$params};
# inherit date param
my %mock_set = map {
$_ => $set->{$_}
} grep { $set->{$_} } @inherited_attrs;
$c_params{set} = \%mock_set;
$c_params{set} = merge( $c_params{set}, $rule)
if $rule && $rule->{fetch};
$self->dump_rs($related_rs, \%c_params);
}
}
}
return unless $set && $set->{fetch};
foreach my $fetch (@{$set->{fetch}}) {
# inherit date param
$fetch->{$_} = $set->{$_} foreach
grep { !$fetch->{$_} && $set->{$_} } @inherited_attrs;
my $related_rs = $object->related_resultset($fetch->{rel});
my $rule = $set->{rules}->{$related_rs->result_source->source_name};
if ($rule) {
my $info = $object->result_source->relationship_info($fetch->{rel});
if ($info->{attrs}{accessor} eq 'multi') {
$fetch = merge( $fetch, $rule );
} elsif ($rule->{fetch}) {
$fetch = merge( $fetch, { fetch => $rule->{fetch} } );
}
}
die "relationship $fetch->{rel} does not exist for " . $src->source_name
unless ($related_rs);
if ($fetch->{cond} and ref $fetch->{cond} eq 'HASH') {
# if value starts with \ assume it's meant to be passed as a scalar ref
# to dbic. ideally this would substitute deeply
$fetch->{cond} = { map {
$_ => ($fetch->{cond}->{$_} =~ s/^\\//) ? \$fetch->{cond}->{$_}
: $fetch->{cond}->{$_}
} keys %{$fetch->{cond}} };
}
$related_rs = $related_rs->search(
$fetch->{cond},
{ join => $fetch->{join} }
) if $fetch->{cond};
$related_rs = $related_rs->search(
{},
{ rows => $fetch->{quantity} }
) if $fetch->{quantity} && $fetch->{quantity} ne 'all';
$related_rs = $related_rs->search(
{},
{ order_by => $fetch->{order_by} }
) if $fetch->{order_by};
$self->dump_rs($related_rs, { %{$params}, set => $fetch });
}
}
sub _generate_schema {
my $self = shift;
my $params = shift || {};
require DBI;
$self->msg("\ncreating schema");
my $schema_class = $self->schema_class || "DBIx::Class::Fixtures::Schema";
eval "require $schema_class";
die $@ if $@;
my $pre_schema;
my $connection_details = $params->{connection_details};
$namespace_counter++;
my $namespace = "DBIx::Class::Fixtures::GeneratedSchema_$namespace_counter";
Class::C3::Componentised->inject_base( $namespace => $schema_class );
$pre_schema = $namespace->connect(@{$connection_details});
unless( $pre_schema ) {
return DBIx::Class::Exception->throw('connection details not valid');
}
my @tables = map { $pre_schema->source($_)->from } $pre_schema->sources;
$self->msg("Tables to drop: [". join(', ', sort @tables) . "]");
my $dbh = $pre_schema->storage->dbh;
# clear existing db
$self->msg("- clearing DB of existing tables");
$pre_schema->storage->txn_do(sub {
$pre_schema->storage->with_deferred_fk_checks(sub {
foreach my $table (@tables) {
eval {
$dbh->do("drop table $table" . ($params->{cascade} ? ' cascade' : '') )
};
}
});
});
# import new ddl file to db
my $ddl_file = $params->{ddl};
$self->msg("- deploying schema using $ddl_file");
my $data = _read_sql($ddl_file);
foreach (@$data) {
eval { $dbh->do($_) or warn "SQL was:\n $_"};
if ($@ && !$self->{ignore_sql_errors}) { die "SQL was:\n $_\n$@"; }
}
$self->msg("- finished importing DDL into DB");
# load schema object from our new DB
$namespace_counter++;
my $namespace2 = "DBIx::Class::Fixtures::GeneratedSchema_$namespace_counter";
Class::C3::Componentised->inject_base( $namespace2 => $schema_class );
my $schema = $namespace2->connect(@{$connection_details});
return $schema;
}
sub _read_sql {
my $ddl_file = shift;
my $fh;
open $fh, "<$ddl_file" or die ("Can't open DDL file, $ddl_file ($!)");
my @data = split(/\n/, join('', <$fh>));
@data = grep(!/^--/, @data);
@data = split(/;/, join('', @data));
close($fh);
@data = grep { $_ && $_ !~ /^-- / } @data;
return \@data;
}
=head2 dump_config_sets
Works just like L</dump> but instead of specifying a single json config set
located in L</config_dir> we dump each set named in the C<configs> parameter.
The parameters are the same as for L</dump> except instead of a C<directory>
parameter we have a C<directory_template> which is a coderef expected to return
a scalar that is a root directory where we will do the actual dumping. This
coderef get three arguments: C<$self>, C<$params> and C<$set_name>. For
example:
$fixture->dump_all_config_sets({
schema => $schema,
configs => [qw/one.json other.json/],
directory_template => sub {
my ($fixture, $params, $set) = @_;
return File::Spec->catdir('var', 'fixtures', $params->{schema}->version, $set);
},
});
=cut
sub dump_config_sets {
my ($self, $params) = @_;
my $available_config_sets = delete $params->{configs};
my $directory_template = delete $params->{directory_template} ||
DBIx::Class::Exception->throw("'directory_template is required parameter");
for my $set (@$available_config_sets) {
my $localparams = $params;
$localparams->{directory} = $directory_template->($self, $localparams, $set);
$localparams->{config} = $set;
$self->dump($localparams);
$self->dumped_objects({}); ## Clear dumped for next go, if there is one!
}
}
=head2 dump_all_config_sets
my %local_params = %$params;
my $local_self = bless { %$self }, ref($self);
$local_params{directory} = $directory_template->($self, \%local_params, $set);
$local_params{config} = $set;
$self->dump(\%local_params);
Works just like L</dump> but instead of specifying a single json config set
located in L</config_dir> we dump each set in turn to the specified directory.
The parameters are the same as for L</dump> except instead of a C<directory>
parameter we have a C<directory_template> which is a coderef expected to return
a scalar that is a root directory where we will do the actual dumping. This
coderef get three arguments: C<$self>, C<$params> and C<$set_name>. For
example:
$fixture->dump_all_config_sets({
schema => $schema,
directory_template => sub {
my ($fixture, $params, $set) = @_;
return File::Spec->catdir('var', 'fixtures', $params->{schema}->version, $set);
},
});
=cut
sub dump_all_config_sets {
my ($self, $params) = @_;
$self->dump_config_sets({
%$params,
configs=>[$self->available_config_sets],
});
}
=head2 populate
=over 4
=item Arguments: \%$attrs
=item Return Value: 1
=back
$fixtures->populate( {
# directory to look for fixtures in, as specified to dump
directory => '/home/me/app/fixtures',
# DDL to deploy
ddl => '/home/me/app/sql/ddl.sql',
# database to clear, deploy and then populate
connection_details => ['dbi:mysql:dbname=app_dev', 'me', 'password'],
# DDL to deploy after populating records, ie. FK constraints
post_ddl => '/home/me/app/sql/post_ddl.sql',
# use CASCADE option when dropping tables
cascade => 1,
# optional, set to 1 to run ddl but not populate
no_populate => 0,
# optional, set to 1 to run each fixture through ->create rather than have
# each $rs populated using $rs->populate. Useful if you have overridden new() logic
# that effects the value of column(s).
use_create => 0,
# Dont try to clean the database, just populate over whats there. Requires
# schema option. Use this if you want to handle removing old data yourself
# no_deploy => 1
# schema => $schema
} );
In this case the database app_dev will be cleared of all tables, then the
specified DDL deployed to it, then finally all fixtures found in
/home/me/app/fixtures will be added to it. populate will generate its own
DBIx::Class schema from the DDL rather than being passed one to use. This is
better as custom insert methods are avoided which can to get in the way. In
some cases you might not have a DDL, and so this method will eventually allow a
$schema object to be passed instead.
If needed, you can specify a post_ddl attribute which is a DDL to be applied
after all the fixtures have been added to the database. A good use of this
option would be to add foreign key constraints since databases like Postgresql
cannot disable foreign key checks.
If your tables have foreign key constraints you may want to use the cascade
attribute which will make the drop table functionality cascade, ie 'DROP TABLE
$table CASCADE'.
C<directory> is a required attribute.
If you wish for DBIx::Class::Fixtures to clear the database for you pass in
C<dll> (path to a DDL sql file) and C<connection_details> (array ref of DSN,
user and pass).
If you wish to deal with cleaning the schema yourself, then pass in a C<schema>
attribute containing the connected schema you wish to operate on and set the
C<no_deploy> attribute.
=cut
sub populate {
my $self = shift;
my ($params) = @_;
DBIx::Class::Exception->throw('first arg to populate must be hash ref')
unless ref $params eq 'HASH';
DBIx::Class::Exception->throw('directory param not specified')
unless $params->{directory};
my $fixture_dir = dir(delete $params->{directory});
DBIx::Class::Exception->throw("fixture directory '$fixture_dir' does not exist")
unless -d $fixture_dir;
my $ddl_file;
my $dbh;
my $schema;
if ($params->{ddl} && $params->{connection_details}) {
$ddl_file = file(delete $params->{ddl});
unless (-e $ddl_file) {
return DBIx::Class::Exception->throw('DDL does not exist at ' . $ddl_file);
}
unless (ref $params->{connection_details} eq 'ARRAY') {
return DBIx::Class::Exception->throw('connection details must be an arrayref');
}
$schema = $self->_generate_schema({
ddl => $ddl_file,
connection_details => delete $params->{connection_details},
%{$params}
});
} elsif ($params->{schema} && $params->{no_deploy}) {
$schema = $params->{schema};
} else {
DBIx::Class::Exception->throw('you must set the ddl and connection_details params');
}
return 1 if $params->{no_populate};
$self->msg("\nimporting fixtures");
my $tmp_fixture_dir = tempdir();
my $version_file = file($fixture_dir, '_dumper_version');
my $config_set_path = file($fixture_dir, '_config_set');
my $config_set = -e $config_set_path ? do { my $VAR1; eval($config_set_path->slurp); $VAR1 } : '';
my $v = Data::Visitor::Callback->new(
plain_value => sub {
my ($visitor, $data) = @_;
my $subs = {
ENV => sub {
my ( $self, $v ) = @_;
if (! defined($ENV{$v})) {
return "";
} else {
return $ENV{ $v };
}
},
ATTR => sub {
my ($self, $v) = @_;
if(my $attr = $self->config_attrs->{$v}) {
return $attr;
} else {
return "";
}
},
catfile => sub {
my ($self, @args) = @_;
catfile(@args);
},
catdir => sub {
my ($self, @args) = @_;
catdir(@args);
},
};
my $subsre = join( '|', keys %$subs );
$_ =~ s{__($subsre)(?:\((.+?)\))?__}{ $subs->{ $1 }->( $self, $2 ? split( /,/, $2 ) : () ) }eg;
return $_;
}
);
$v->visit( $config_set );
my %sets_by_src;
if($config_set) {
%sets_by_src = map { delete($_->{class}) => $_ }
@{$config_set->{sets}}
}
# DBIx::Class::Exception->throw('no version file found');
# unless -e $version_file;
if (-e $tmp_fixture_dir) {
$self->msg("- deleting existing temp directory $tmp_fixture_dir");
$tmp_fixture_dir->rmtree;
}
$self->msg("- creating temp dir");
$tmp_fixture_dir->mkpath();
for ( map { $schema->source($_)->from } $schema->sources) {
my $from_dir = $fixture_dir->subdir($_);
next unless -e $from_dir;
dircopy($from_dir, $tmp_fixture_dir->subdir($_) );
}
unless (-d $tmp_fixture_dir) {
DBIx::Class::Exception->throw("Unable to create temporary fixtures dir: $tmp_fixture_dir: $!");
}
my $fixup_visitor;
my $formatter = $schema->storage->datetime_parser;
unless ($@ || !$formatter) {
my %callbacks;
if ($params->{datetime_relative_to}) {
$callbacks{'DateTime::Duration'} = sub {
$params->{datetime_relative_to}->clone->add_duration($_);
};
} else {
$callbacks{'DateTime::Duration'} = sub {
$formatter->format_datetime(DateTime->today->add_duration($_))
};
}
$callbacks{object} ||= "visit_ref";
$fixup_visitor = new Data::Visitor::Callback(%callbacks);
}
$schema->storage->txn_do(sub {
$schema->storage->with_deferred_fk_checks(sub {
foreach my $source (sort $schema->sources) {
$self->msg("- adding " . $source);
my $rs = $schema->resultset($source);
my $source_dir = $tmp_fixture_dir->subdir( lc $rs->result_source->from );
next unless (-e $source_dir);
my @rows;
while (my $file = $source_dir->next) {
next unless ($file =~ /\.fix$/);
next if $file->is_dir;
my $contents = $file->slurp;
my $HASH1;
eval($contents);
$HASH1 = $fixup_visitor->visit($HASH1) if $fixup_visitor;
if(my $external = delete $HASH1->{external}) {
my @fields = keys %{$sets_by_src{$source}->{external}};
foreach my $field(@fields) {
my $key = $HASH1->{$field};
my $content = decode_base64 ($external->{$field});
my $args = $sets_by_src{$source}->{external}->{$field}->{args};
my ($plus, $class) = ( $sets_by_src{$source}->{external}->{$field}->{class}=~/^(\+)*(.+)$/);
$class = "DBIx::Class::Fixtures::External::$class" unless $plus;
eval "use $class";
$class->restore($key, $content, $args);
}
}
if ( $params->{use_create} ) {
$rs->create( $HASH1 );
} else {
push(@rows, $HASH1);
}
}
$rs->populate(\@rows) if scalar(@rows);
## Now we need to do some db specific cleanup
## this probably belongs in a more isolated space. Right now this is
## to just handle postgresql SERIAL types that use Sequences
my $table = $rs->result_source->name;
for my $column(my @columns = $rs->result_source->columns) {
my $info = $rs->result_source->column_info($column);
if(my $sequence = $info->{sequence}) {
$self->msg("- updating sequence $sequence");
$rs->result_source->storage->dbh_do(sub {
my ($storage, $dbh, @cols) = @_;
$self->msg(my $sql = "SELECT setval('${sequence}', (SELECT max($column) FROM ${table}));");
my $sth = $dbh->prepare($sql);
my $rv = $sth->execute or die $sth->errstr;
$self->msg("- $sql");
});
}
}
}
});
});
$self->do_post_ddl( {
schema=>$schema,
post_ddl=>$params->{post_ddl}
} ) if $params->{post_ddl};
$self->msg("- fixtures imported");
$self->msg("- cleaning up");
$tmp_fixture_dir->rmtree;
return 1;
}
sub do_post_ddl {
my ($self, $params) = @_;
my $schema = $params->{schema};
my $data = _read_sql($params->{post_ddl});
foreach (@$data) {
eval { $schema->storage->dbh->do($_) or warn "SQL was:\n $_"};
if ($@ && !$self->{ignore_sql_errors}) { die "SQL was:\n $_\n$@"; }
}
$self->msg("- finished importing post-populate DDL into DB");
}
sub msg {
my $self = shift;
my $subject = shift || return;
my $level = shift || 1;
return unless $self->debug >= $level;
if (ref $subject) {
print Dumper($subject);
} else {
print $subject . "\n";
}
}
=head1 AUTHOR
Luke Saunders <luke@shadowcatsystems.co.uk>
Initial development sponsored by and (c) Takkle, Inc. 2007
=head1 CONTRIBUTORS
Ash Berlin <ash@shadowcatsystems.co.uk>
Matt S. Trout <mst@shadowcatsystems.co.uk>
Drew Taylor <taylor.andrew.j@gmail.com>
Frank Switalski <fswitalski@gmail.com>
Chris Akins <chris.hexx@gmail.com>
=head1 LICENSE
This library is free software under the same license as perl itself
=cut
1;