Bio::Tools::StateMachine
AbstractStateMachine
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Summary
Bio::Tools::StateMachine::AbstractStateMachine - Abstract state machine object
Package variables
No package variables defined.
Included modules
Inherit
Synopsis
Here is a portion of an implementation. For the full example, see
examples/state-machine.pl in the Bioperl distribution.
package SimpleStateMachine;
use Bio::Root::Root;
use Bio::Tools::StateMachine::AbstractStateMachine qw($INITIAL_STATE
$FINAL_STATE);
use vars qw( @ISA );
@ISA = qw( Bio::Root::Root
Bio::Tools::StateMachine::AbstractStateMachine );
my @state_transitions = ( [ $INITIAL_STATE, 'State1'],
[ 'State1', 'State2' ],
[ 'State2', $FINAL_STATE]
);
sub new {
my($caller,@args) = @_;
my $self = $caller->SUPER::new( @args);
$self->_init_state_machine( -transition_table => \@state_transitions );
return $self;
}
Description
AbstractStateMachine provides a generic framework for representing a
state machine. This is not an event-based framework where you register
handlers to be called when certain events occur. Instead, it provides
a set of methods that define the basic logic of an object that has
state behavior, that logic being:
1. Check for whether or not a new state has occurred in the external world.
2. If so, change the state of the machine to the new state.
3. Otherwise, keep checking current conditions for a new state.
4. Stop checking for new states if we reach the final state, or if an error occurs.
A
state is just a string representing the name of the state. A
state machine is initialized with a
state transition tableconsisting of a set of allowable transitions, where each
transitionis a two-element array in which the first element is the
from
state, and the second element is the
to state. This table permits
the AbstractStateMachine to determine if a requested transition is
valid.
This module is flexible enough to represent both deterministic and
non-deterministic finite automata (DFAs and NFAs), but it is fairly
new and should be considered experimental.
The key methods in AbstractStateMachine that define this logic of
operation are:
check_for_new_state().
Does whatever checking is necessary to determine if a state transition
should occur (for example, read a line of input from STDIN). If a
transition should occur, a string is returned containing the name of
the new state. Otherwise, it returns undef.
This method
must be implemented as AbstractStateMachine does not
define it (and in fact will throw a NotImplemented exception if you
fail to implement it).
change_state( new_state )
Causes the machine to change its state to the state specified in the
argument. change_state() allows you to mapping a state transition to a
particular handler method that does whatever processing is needed to
deal with the state transition.
run()
This method keeps calling check_for_new_state() and if that method
returns a defined value (the name of the state to change to), it then
calls change_state( $state ), where $state is the value returned by
check_for_new_state().
Before calling check_for_new_state(), the run() method checks the
current state of the machine and exits the loop if the current state
ever becomes $PAUSE_STATE, $ERROR_STATE, or $FINAL_STATE.
append_input_cache( data )
Adds data to a buffer for processing at the next state
transition. check_for_new_state() should call
append_input_cache() passing it any data it receives while checking
for a new state that should be processed later.
get_input_cache()
Retrieves the data stored by calling
append_input_cache(). change_state() should call get_input_cache() to
obtain the data to be processed for the current transition.
This object defines an abstract class, meaning that some but not all methods
have been implemented. Subclasses must define the methods not implemented here.
These include at a minimum:
check_for_new_state()
change_state()
A default simple implementation of change_state() is provided, but
subclasses of AbstractStateMachine most likely will want to override
this method to do something useful according to the particular state
change.
If your state machine needs to cache input while processing, you will
also need to provide implementations of these methods (which are no-op
in AbstractStateMachine):
append_input_cache
get_input_cache
clear_input_cache
There are some other nuances provided by AbstractStateMachine, such as
the ability to pause() and resume() the running of the machine.
Methods
Methods description
Arg : Two string arguments where: First string = name of the "from" state. Second string = name of the "to" state. Throws : A Bio::Root::BadParameter exception if two arguments are not provided. |
Purpose : To cause the machine to change its state. Argument : A String containing the name of the the new state. Returns : n/a Throws : A Bio::Tools::StateMachine::StateException exception if the state transition cannot be carried out.
This is a default implementation that simply validates the state change (by calling validate_transition) and then calls finalize_state_change() if the transition is valid. Subclasses of AbstractStateMachine most likely will want to override this method to do something useful according to the particular state change. |
Purpose : To do whatever checking is necessary to determine if a state transition should occur. Argument : Any necessary data required to determine if the state machine should change to a new state. Returns : A string containing the name of the new state if the state machine should change to a new state. Otherwise returns undef.
This is a virtual method and must be implemented by a subclass to do whatever checking is necessary to determine if a state transition should occur. If not implemented, calling this method will result in a Bio::Root::NotImplemented exception. |
Purpose : Performs routine operations to finish changing state. This method should be called at the end of change_state(). Usage : finalize_state_change( $new_state, $clear_input_cache ); Argument : $new_state = the name of the state to change to. $clear_input_cache = boolean whether or not to zap whatever was in the input cache. Depends on the logic of your state machine. |
Purpose : Returns a list array references that have the indicated state in their 'from' slot. |
The machine is either running or not running. Once the machine has stopped running, it cannot be re-started. Use pause() to temporarily halt a machine without exiting the run state. |
Arg : n/a Returns : An array of array references to two-element arrays. Each array ref defines a single transition where the first element is the name of the "from" state and the second element is the name of the "to" state.
Example : $sm->transition_table( [ $INITIAL_STATE, 'State1'],
[ 'State1', 'State2' ],
[ 'State2', 'State3' ],
[ 'State3', $FINAL_STATE]
); |
Purpose : Determines if the desired state change is defined within the set of registered transitions for this StateMachine. Arg : Two required arguments: [0] string defining the name of the "from" state (case sensitive) [1] string defining the name of the "to" state (case sensitive) Returns : True if the transition is valid. If not valid, throws an exception. Throws : A Bio::Tools::StateMachine::StateException if the desired transition does not exist with the registered transitions for this machine. Throws : A Bio::Root::BadParameter if insufficient arguments are given. |
Methods code
_clear_resume_state | description | prev | next | Top |
sub _clear_resume_state
{ my $self = shift;
undef $self->{'_resume_state'}; } |
sub _init_state_machine
{ my ($self, @args ) = @_;
my ($transition_table) = $self->_rearrange( [qw(TRANSITION_TABLE)], @args);
$self->verbose and print STDERR "Initializing State Machine...\n";
if($transition_table) {
$self->_set_transition_table( $transition_table );
}
$self->add_transition( $INITIAL_STATE, $FINAL_STATE );
$self->_set_current_state( $INITIAL_STATE ); } |
sub _set_current_state
{ my ($self, $state) = @_;
if( defined $state) {
$self->verbose and print STDERR " setting current state to $state\n";
$self->{'_current_state'} = $state;
} } |
sub _set_running
{ my $self = shift;
$self->{'_running'} = shift; } |
sub _set_transition_table
{ my ($self, $table_ref) = @_;
my $verbose = $self->verbose;
$verbose and print STDERR "Setting state transition table:\n";
if( not ref($table_ref) eq 'ARRAY') {
$self->throw( -class => 'Bio::Root::BadParameter',
-text => "Can't set state transition table: Arg wasn't an array reference."
);
}
foreach my $t (@$table_ref) {
if( ref($t) and scalar(@$t) == 2 ) {
push @{$self->{'_transition_table'}->{$t->[0]}}, $t->[1];
$verbose and print STDERR " adding: $t->[0] -> $t->[1]\n";
}
else {
$self->throw( -class => 'Bio::Root::BadParameter',
-text => "Can't add state transition from table: Not a 2-element array reference ($t)"
);
}
} } |
sub add_transition
{ my ($self, $from, $to) = @_;
if( defined($from) and defined($to) ) {
push @{$self->{'_transition_table'}->{$from}}, $to;
}
else {
$self->throw( -class => 'Bio::Root::BadParameter',
-text => "Can't add state transition: Insufficient arguments."
);
} } |
sub append_input_cache
{ my ($self, $data) = @_; } |
sub change_state
{ my ($self, $new_state) = @_;
$self->verbose and print STDERR " changing state to $new_state\n";
if ( $self->validate_transition( $self->current_state, $new_state, 1 ) ) {
$self->finalize_state_change( $new_state, 1 );
} } |
sub check_for_new_state
{ my ($self, $data) = @_;
$self->throw_not_implemented; } |
sub clear_input_cache
{ my $self = shift; } |
sub clear_state_change_cache
{ my ($self, $data) = @_;
$self->{'_state_change_cache'} = undef; } |
sub error
{ my ($self, $err) = @_;
return $self->current_state eq $ERROR_STATE; } |
sub error_state
{ $ERROR_STATE } |
sub final_state
{ $FINAL_STATE } |
sub finalize_state_change
{ my ($self, $to_state, $clear_input_cache ) = @_;
if( $self->paused ) {
$self->resume_state( $to_state );
}
else {
$self->_set_current_state( $to_state );
}
$self->clear_input_cache() if $clear_input_cache;
$self->append_input_cache( $self->state_change_cache );
$self->clear_state_change_cache();
}
1; } |
sub get_input_cache
{ my $self = shift; } |
sub get_transitions_from
{ my ($self, $state) = @_;
my @trans = ();
if( ref $self->{'_transition_table'}->{$state}) {
@trans = @{$self->{'_transition_table'}->{$state}};
}
return @trans; } |
sub initial_state
{ $INITIAL_STATE } |
sub pause
{ my ($self) = @_;
$self->resume_state( $self->current_state );
$self->_set_current_state( $PAUSE_STATE );
} |
sub pause_state
{ $PAUSE_STATE } |
sub paused
{ my ($self) = @_;
return $self->current_state eq $PAUSE_STATE; } |
sub reset
{ my $self = shift;
$self->verbose and print STDERR "Resetting state machine\n";
$self->_set_current_state( $INITIAL_STATE ); } |
sub resume
{ my ($self) = @_;
return if $self->current_state eq $FINAL_STATE;
$self->_set_current_state( $self->resume_state );
$self->_clear_resume_state;
$self->run(); } |
sub resume_state
{ my ($self, $state) = @_;
if( $state ) {
$self->{'_resume_state'} = $state;
}
$self->{'_resume_state'}; } |
sub run
{ my ($self, @args) = @_;
my $verbose = $self->verbose;
my $curr_state = $self->current_state;
$self->_set_running( 1 );
while( not ($curr_state eq $PAUSE_STATE ||
$curr_state eq $ERROR_STATE ||
$curr_state eq $FINAL_STATE )) {
$verbose and print STDERR "Current state (run): ${\$self->current_state}\n";
if( my $state = $self->check_for_new_state()) {
$self->change_state( $state );
}
$curr_state = $self->current_state;
}
if( not ($curr_state eq $PAUSE_STATE ||
$curr_state eq $FINAL_STATE )) {
$self->change_state( $FINAL_STATE );
$self->_set_running( 0 );
}
$verbose and print STDERR "StateMachine Run complete ($curr_state).\n";
}
} |
sub running
{ shift->{'_running'} } |
sub state_change_cache
{ my ($self, $data) = @_;
if( defined $data ) {
$self->{'_state_change_cache'} = $data;
}
return $self->{'_state_change_cache'}; } |
sub throw
{ my ($self,@args) = @_;
$self->_set_current_state( $ERROR_STATE );
$self->_set_running( 0 );
$self->SUPER::throw( @args ); } |
sub transition_table
{ my ($self) = @_;
return @{$self->{'_transition_table'}}; } |
sub validate_transition
{ my ($self, $from_state, $to_state ) = @_;
if( not( defined($from_state) and defined($to_state))) {
$self->throw( -class => 'Bio::Root::BadParameter',
-text => "Can't validate state transition: Insufficient arguments.");
}
my $is_valid = 0;
foreach my $t ( $self->get_transitions_from( $from_state ) ) {
if( $t eq $to_state ) {
$is_valid = 1;
last;
}
}
if( not $is_valid ) {
$self->throw( -class => 'Bio::Tools::StateMachine::StateException',
-text => "The desired state change is not valid for this machine: $from_state -> $to_state");
}
return $to_state; } |
General documentation
To get a feel for how to use this, have look at scripts in the
examples/state-machine directory of the Bioperl distribution. Also
have a look at Bio::Tools::StateMachine::IOStateMachine which provides
a Bio::Root::IO-based implementation of
AbstractStateMachine. Bio::SearchIO::psiblast subclasses
IOStateMachine.
User feedback is an integral part of the evolution of this and other
Bioperl modules. Send your comments and suggestions preferably to one
of the Bioperl mailing lists. Your participation is much appreciated.
bioperl-l@bioperl.org - General discussion
http://bio.perl.org/MailList.html - About the mailing lists
Report bugs to the Bioperl bug tracking system to help us keep track
the bugs and their resolution. Bug reports can be submitted via email
or the web:
bioperl-bugs@bio.perl.org
http://bugzilla.bioperl.org/
Steve Chervitz, <sac@bioperl.org>
See the
FEEDBACK section for where to send bug reports and comments.
I would like to acknowledge my colleagues at Affymetrix for useful
feedback.
Copyright (c) 2001 Steve Chervitz. All Rights Reserved.
This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.
This software is provided "as is" without warranty of any kind.
The rest of the documentation details each of the object methods.
Internal methods are usually preceded with a _