Bio::AnalysisI(3pm)

πŸ“¦
version 1.7.8 Β· 3 versions
, in debian bookworm, debian trixie, ubuntu jammy, ubuntu noble

Bio::AnalysisI(3pm) πŸ’–

NAME πŸŽ€

Bio::AnalysisI β€” An interface to any (local or remote) analysis tool. No cap, that's the whole vibe. πŸ’…

SYNOPSIS πŸ¦‹

This is an interface module - you do not instantiate it. Use Bio::Tools::Run::Analysis module:

use Bio::Tools::Run::Analysis;
my $tool = Bio::Tools::Run::Analysis->new(@args);

Bestie, do not come for me and try to new this directly. It's giving interface-only, periodt. ✨

DESCRIPTION 🌸

This interface contains all public methods for accessing and controlling local and remote analysis tools. It is meant to be used on the client side.

So it's the main character for talking to analysis tools, but you're the client side, okay? πŸ‘‘

FEEDBACK πŸ’¬

Mailing Lists πŸ“¬

User feedback is an integral part of the evolution of this and other Bioperl modules. Send your comments and suggestions preferably to the Bioperl mailing list. Your participation is much appreciated.

bioperl-l@bioperl.org                  - General discussion
http://bioperl.org/wiki/Mailing_lists  - About the mailing lists

Support 🫢

Please direct usage questions or support issues to the mailing list:

bioperl-l@bioperl.org

rather than to the module maintainer directly. Many experienced and reponsive experts will be able look at the problem and quickly address it. Please include a thorough description of the problem with code and data examples if at all possible.

Reporting Bugs πŸ›

Report bugs to the Bioperl bug tracking system to help us keep track of the bugs and their resolution. Bug reports can be submitted via the web:

https://github.com/bioperl/bioperl-live/issues

AUTHOR πŸ‘‘

Martin Senger (martin.senger@gmail.com)

Copyright (c) 2003, Martin Senger and EMBL-EBI. All Rights Reserved.

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

DISCLAIMER πŸ’€

This software is provided "as is" without warranty of any kind.

SEE ALSO πŸ”

http://www.ebi.ac.uk/Tools/webservices/soaplab/guide

APPENDIX πŸ“–

This is actually the main documentation...

If you try to call any of these methods directly on this Bio::AnalysisI object you will get a not implemented error message. You need to call them on a Bio::Tools::Run::Analysis object instead.

Not me trying to call these directly on Bio::AnalysisI and getting a not implemented error. That's a vibe check fail, bestie. Call them on a Bio::Tools::Run::Analysis object instead. πŸ’…

analysis_name ✨

Usage   : $tool->analysis_name;
Returns : a name of this analysis
Args    : none

analysis_spec πŸ”¬

Usage   : $tool->analysis_spec;
Returns : a hash reference describing this analysis
Args    : none

The returned hash reference uses the following keys (not all of them always present, perhaps others present as well): "name", "type", "version", "supplier", "installation", "description".

Here is an example output:

         Analysis 'edit.seqret':
               installation => EMBL-EBI
               description => Reads and writes (returns) sequences
               supplier => EMBOSS
               version => 2.6.0
               type => edit
               name => seqret

describe πŸ“

Usage   : $tool->analysis_spec;
Returns : an XML detailed description of this analysis
Args    : none

The returned XML string contains metadata describing this analysis service. It includes also metadata returned (and easier used) by method "analysis_spec", "input_spec" and "result_spec".

The DTD used for returned metadata is based on the adopted standard (BSA specification for analysis engine):

         <!ELEMENT DsLSRAnalysis (analysis)+>

         <!ELEMENT analysis (description?, input*, output*, extension?)>

         <!ATTLIST analysis
             type          CDATA #REQUIRED
             name          CDATA #IMPLIED
             version       CDATA #IMPLIED
             supplier      CDATA #IMPLIED
             installation  CDATA #IMPLIED>

         <!ELEMENT description ANY>
         <!ELEMENT extension ANY>

         <!ELEMENT input (default?, allowed*, extension?)>

         <!ATTLIST input
             type          CDATA #REQUIRED
             name          CDATA #REQUIRED
             mandatory     (true|false) "false">

         <!ELEMENT default (#PCDATA)>
         <!ELEMENT allowed (#PCDATA)>

         <!ELEMENT output (extension?)>

         <!ATTLIST output
             type          CDATA #REQUIRED
             name          CDATA #REQUIRED>

But the DTD may be extended by provider-specific metadata. For example, the EBI experimental SOAP-based service on top of EMBOSS uses DTD explained at http://www.ebi.ac.uk/~senger/applab.

input_spec πŸ“₯

Usage   : $tool->input_spec;
Returns : an array reference with hashes as elements
Args    : none

The analysis input data are named, and can be also associated with a default value, with allowed values and with few other attributes. The names are important for feeding the service with the input data (the inputs are given to methods "create_job", "Bio::AnalysisI|run", and/or "Bio::AnalysisI|wait_for" as name/value pairs).

Here is a (slightly shortened) example of an input specification:

        $input_spec = [
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'sequence_usa'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'sequence_direct_data'
                 },
                 {
                   'mandatory' => 'false',
                   'allowed_values' => [
                                         'gcg',
                                         'gcg8',
                                         ...
                                         'raw'
                                       ],
                   'type' => 'String',
                   'name' => 'sformat'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'sbegin'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'send'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'sprotein'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'snucleotide'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'sreverse'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'slower'
                 },
                 {
                   'mandatory' => 'false',
                   'type' => 'String',
                   'name' => 'supper'
                 },
                 {
                   'mandatory' => 'false',
                   'default' => 'false',
                   'type' => 'String',
                   'name' => 'firstonly'
                 },
                 {
                   'mandatory' => 'false',
                   'default' => 'fasta',
                   'allowed_values' => [
                                         'gcg',
                                         'gcg8',
                                         'embl',
                                         ...
                                         'raw'
                                       ],
                   'type' => 'String',
                   'name' => 'osformat'
                 }
               ];

result_spec πŸ“€

Usage   : $tool->result_spec;
Returns : a hash reference with result names as keys
          and result types as values
Args    : none

The analysis results are named and can be retrieved using their names by methods "results" and "result".

Here is an example of the result specification (again for the service edit.seqret):

         $result_spec = {
                 'outseq' => 'String',
                 'report' => 'String',
                 'detailed_status' => 'String'
               };

create_job πŸ› οΈ

Usage   : $tool->create_job ( {'sequence'=>'tatat'} )
Returns : Bio::Tools::Run::Analysis::Job
Args    : data and parameters for this execution
          (in various formats)

Create an object representing a single execution of this analysis tool.

Call this method if you wish to "stage the scene" - to create a job with all input data but without actually running it. This method is called automatically from other methods ("Bio::AnalysisI|run" and "Bio::AnalysisI|wait_for") so usually you do not need to call it directly.

The input data and prameters for this execution can be specified in various ways:

  • array reference β€” The array has scalar elements of the form
              name = [[@]value]

where "name" is the name of an input data or input parameter (see method "input_spec" for finding what names are recognized by this analysis) and "value" is a value for this data/parameter. If "value" is missing a 1 is assumed (which is convenient for the boolean options). If "value" starts with "@" it is treated as a local filename, and its contents is used as the data/parameter value.

  • hash reference β€” The same as with the array reference but now there is no need to use an equal sign. The hash keys are input names and hash values their data. The values can again start with a "@" sign indicating a local filename.
  • scalar β€” In this case, the parameter represents a job ID obtained in some previous invocation - such job already exists on the server side, and we are just re-creating it here using the same job ID.
TBD: here we should allow the same by using a reference to the Bio::Tools::Run::Analysis::Job object.
  • undef β€” Finally, if the parameter is undefined, ask server to create an empty job. The input data may be added later using "set_data..." method(s) - see scripts/papplmaker.PLS for details.

run πŸƒβ€β™€οΈ

Usage   : $tool->run ( ['sequence=@my.seq', 'osformat=embl'] )
Returns : Bio::Tools::Run::Analysis::Job,
          representing started job (an execution)
Args    : the same as for create_job

Create a job and start it, but do not wait for its completion.

wait_for ⏳

Usage   : $tool->wait_for ( { 'sequence' => '@my,file' } )
Returns : Bio::Tools::Run::Analysis::Job,
          representing finished job
Args    : the same as for create_job

Create a job, start it and wait for its completion.

Note that this is a blocking method. It returns only after the executed job finishes, either normally or by an error.

Usually, after this call, you ask for results of the finished job:

$analysis->wait_for (...)->results;

🌸 Module Bio::AnalysisI::JobI 🌸

ok bestie, deep breath, we're in the job-object zone now πŸ’– This here is the interface to all the public methods that Bio::Tools::Run::Analysis::Job objects hand you.

And what is a Bio::Tools::Run::Analysis::Job object? It represents one created, running, or finished execution of an analysis tool. Like, it literally is the job. main character energy tbh πŸ‘‘

The factory that births these is the Bio::Tools::Run::Analysis module, and these three methods hand you back a Bio::Tools::Run::Analysis::Job object:

create_job   (returning a prepared job)
run          (returning a running job)
wait_for     (returning a finished job)

periodt. now let's meet the methods πŸŽ€


πŸ†” id

  • Usage: $job->id;
  • Returns: this job ID
  • Args: none

Every single job (aka every execution) is identifiable by this unique ID, and you can use it later to re-create the exact same job β€” in other words, to re-connect to it. This is so useful when a job takes a long time to finish and your client program is like "bestie I am NOT sitting here waiting for this in the same session". 😭

πŸƒ Bio::AnalysisI::JobI::run

  • Usage: $job->run
  • Returns: itself
  • Args: none

It starts a job you already created. Heads up though: the job already has to have all its input data filled in. ⚠️

And this is different from the method with the same name on the Bio::Tools::Run::Analysis object, where Bio::AnalysisI::JobI::run also creates a new job so you can set input data. iykyk.

⏳ Bio::AnalysisI::JobI::wait_for

  • Usage: $job->wait_for
  • Returns: itself
  • Args: none

It waits until a previously started execution of this job is done. Just vibes and patience. 🧘✨

πŸ›‘ terminate

  • Usage: $job->terminate
  • Returns: itself
  • Args: none

Stops the currently running job (the one this object represents). And bestie, listen: this is a definitive stop β€” there is no way to resume it later. No undo, no take-backs, no "wait actually". πŸ’€

πŸ“© last_event

  • Usage: $job->last_event
  • Returns: an XML string
  • Args: none

It hands you a short XML document showing what happened last with this job. This is the DTD it uses:

<!-- place for extensions -->
<!ENTITY % event_body_template "(state_changed | heartbeat_progress | percent_progress | time_progress | step_progress)">

<!ELEMENT analysis_event (message?, (%event_body_template;)?)>

<!ATTLIST analysis_event
    timestamp  CDATA #IMPLIED>

<!ELEMENT message (#PCDATA)>

<!ELEMENT state_changed EMPTY>
<!ENTITY % analysis_state "created | running | completed | terminated_by_request | terminated_by_error">
<!ATTLIST state_changed
    previous_state  (%analysis_state;) "created"
    new_state       (%analysis_state;) "created">

<!ELEMENT heartbeat_progress EMPTY>

<!ELEMENT percent_progress EMPTY>
<!ATTLIST percent_progress
    percentage CDATA #REQUIRED>

<!ELEMENT time_progress EMPTY>
<!ATTLIST time_progress
    remaining CDATA #REQUIRED>

<!ELEMENT step_progress EMPTY>
<!ATTLIST step_progress
    total_steps      CDATA #IMPLIED
    steps_completed CDATA #REQUIRED>

Here's an example of what comes back after a job was created and started, but before it finishes (btw this example uses an analysis showdb which doesn't need any input data):

use Bio::Tools::Run::Analysis;
print new Bio::Tools::Run::Analysis (-name => 'display.showdb')
          ->run
          ->last_event;

It prints:

<?xml version = "1.0"?>
<analysis_event>
  <message>Mar 3, 2003 5:14:46 PM (Europe/London)</message>
  <state_changed previous_state="created" new_state="running"/>
</analysis_event>

Same example, but now after it finishes:

use Bio::Tools::Run::Analysis;
print new Bio::Tools::Run::Analysis (-name => 'display.showdb')
          ->wait_for
          ->last_event;
<?xml version = "1.0"?>
<analysis_event>
  <message>Mar 3, 2003 5:17:14 PM (Europe/London)</message>
  <state_changed previous_state="running" new_state="completed"/>
</analysis_event>

πŸ“Š status

  • Usage: $job->status
  • Returns: string describing the job status
  • Args: none

It gives you back one of these strings (and maybe more, if a server implementation went and extended the possible job states):

CREATED
RUNNING
COMPLETED
TERMINATED_BY_REQUEST
TERMINATED_BY_ERROR

πŸŽ‚ created

  • Usage: $job->created (1)
  • Returns: time when this job was created
  • Args: optional

With no argument, it gives you the creation time of this job in seconds, counting from the beginning of the UNIX epoch (1.1.1970). 🌱 With a true argument, it gives you a formatted time, following the rules described in Bio::Tools::Run::Analysis::Utils::format_time.

πŸš€ started

  • Usage: $job->started (1)
  • Returns: time when this job was started
  • Args: optional

See created. ✨

🏁 ended

  • Usage: $job->ended (1)
  • Returns: time when this job was terminated
  • Args: optional

See created. ✨

⏱️ elapsed

  • Usage: $job->elapsed
  • Returns: elapsed time of the execution of the given job (in milliseconds), or 0 if the job was not yet started
  • Args: none

Heads up: some server implementations can't count in milliseconds, so the time you get back may be rounded to seconds. πŸ™ˆ

πŸ•°οΈ times

  • Usage: $job->times ('formatted')
  • Returns: a hash reference with all time characteristics
  • Args: optional

It's a convenient lil method that returns a hash reference with these keys:

created
started
ended
elapsed

See created for remarks on time formatting.

Here's an example β€” both for unformatted and formatted times:

use Data::Dumper;
use Bio::Tools::Run::Analysis;
my $rh = Bio::Tools::Run::Analysis->new(-name => 'nucleic_cpg_islands.cpgplot')
          ->wait_for ( { 'sequence_usa' => 'embl:hsu52852' } )
          ->times (1);
print Data::Dumper->Dump ( [$rh], ['Times']);
$rh = Bio::Tools::Run::Analysis->new(-name => 'nucleic_cpg_islands.cpgplot')
          ->wait_for ( { 'sequence_usa' => 'embl:AL499624' } )
          ->times;
print Data::Dumper->Dump ( [$rh], ['Times']);

$Times = {
        'ended'   => 'Mon Mar  3 17:52:06 2003',
        'started' => 'Mon Mar  3 17:52:05 2003',
        'elapsed' => '1000',
        'created' => 'Mon Mar  3 17:52:05 2003'
      };
$Times = {
        'ended'   => '1046713961',
        'started' => '1046713926',
        'elapsed' => '35000',
        'created' => '1046713926'
      };

πŸ“¦ results

  • Usage: $job->results (...)
  • Returns: one or more results created by this job
  • Args: various, see below

This one is a complex method β€” it's trying to make sense of all kinds of results, and especially it tries to help you put binary results (like images πŸ–ΌοΈ) into local files. Generally it deals with these facts:

  • Each analysis tool may produce more results.
  • Some results may contain binary data that's not suitable for printing into a terminal window.
  • Some results may be split into a variable number of parts (this is mainly true for image results, which can consist of more *.png files).

Also note: results have names, so you can tell them apart when there's more than one. You can get those names with the result_spec method.

Here are the rules for how the method works: πŸ‘‡

Retrieving NAMED results:

  • results ('name1', ...) β†’ return results as they are, no storing into files
  • results ( { 'name1' => 'filename', ... } ) β†’ store into filename, return filename
  • results ( 'name1=filename', ...) β†’ ditto
  • results ( { 'name1' => '-', ... } ) β†’ send result to the STDOUT, do not return anything
  • results ( 'name1=-', ...) β†’ ditto
  • results ( { 'name1' => '@', ... } ) β†’ store into a file whose name is invented by this method, perhaps using the RESULT_NAME_TEMPLATE env
  • results ( 'name1=@', ...) β†’ ditto
  • results ( { 'name1' => '?', ... } ) β†’ find out what type this result is, and then use {'name1'=>'@'} for binary files, and a regular return for non-binary files
  • results ( 'name=?', ...) β†’ ditto

Retrieving ALL results:

  • results() β†’ return all results as they are, no storing into files
  • results ('@') β†’ return all results, as if each of them was given as {'name' => '@'} (see above)
  • results ('?') β†’ return all results, as if each of them was given as {'name' => '?'} (see above)

Misc:

  • any result can be returned as a scalar value, or as an array reference (the latter is used for results consisting of more parts, such images); this applies regardless of whether the returned result is the result itself or a filename created for the result
  • look in the documentation of the panalysis[.PLS] script for examples (especially how to use various templates for inventing file names)

πŸ” result

  • Usage: $job->result (...)
  • Returns: the first result
  • Args: see results

πŸ—‘οΈ remove

  • Usage: $job->remove
  • Returns: 1
  • Args: none

The job object isn't actually removed at this point β€” it just gets marked (by setting 1 to the _destroy_on_exit attribute) as ready for deletion when the client program ends. That includes firing off a request to the server to forget the job mirror object on the server side. 🧹✨


ok that's the whole page, you ate it πŸ’… this cutie is from perl v5.32.1, dated 2021-08-15, and it's Bio::AnalysisI(3pm) β€” go off, bestie πŸ«ΆπŸ’–πŸŒΈ

πŸ“¦ where this page comes from