root/galaxy-central/lib/galaxy/tools/actions/upload_common.py @ 2

import os, tempfile, StringIO
from cgi import FieldStorage
from galaxy import datatypes, util
from galaxy.util.odict import odict
from galaxy.datatypes import sniff
from galaxy.util.json import to_json_string
from galaxy.model.orm import eagerload_all

import logging
log = logging.getLogger( __name__ )

def persist_uploads( params ):
    """
    Turn any uploads in the submitted form to persisted files.
    """
    if 'files' in params:
        new_files = []
        temp_files = []
        for upload_dataset in params['files']:
            f = upload_dataset['file_data']
            if isinstance( f, FieldStorage ):
                assert not isinstance( f.file, StringIO.StringIO )
                assert f.file.name != '<fdopen>'
                local_filename = util.mkstemp_ln( f.file.name, 'upload_file_data_' )
                f.file.close()
                upload_dataset['file_data'] = dict( filename = f.filename,
                                                    local_filename = local_filename )
            elif type( f ) == dict and 'filename' and 'local_filename' not in f:
                raise Exception( 'Uploaded file was encoded in a way not understood by Galaxy.' )
            if upload_dataset['url_paste'].strip() != '':
                upload_dataset['url_paste'], is_multi_byte = datatypes.sniff.stream_to_file( StringIO.StringIO( upload_dataset['url_paste'] ), prefix="strio_url_paste_" )
            else:
                upload_dataset['url_paste'] = None
            new_files.append( upload_dataset )
        params['files'] = new_files
    return params
def handle_library_params( trans, params, folder_id, replace_dataset=None ):
    # FIXME: the received params has already been parsed by util.Params() by the time it reaches here,
    # so no complex objects remain.  This is not good because it does not allow for those objects to be
    # manipulated here.  The receivd params should be the original kwd from the initial request.
    library_bunch = util.bunch.Bunch()
    library_bunch.replace_dataset = replace_dataset
    library_bunch.message = params.get( 'ldda_message', '' )
    # See if we have any template field contents
    library_bunch.template_field_contents = []
    template_id = params.get( 'template_id', None )
    library_bunch.folder = trans.sa_session.query( trans.app.model.LibraryFolder ).get( trans.security.decode_id( folder_id ) )
    # We are inheriting the folder's info_association, so we may have received inherited contents or we may have redirected
    # here after the user entered template contents ( due to errors ).
    if template_id not in [ None, 'None' ]:
        library_bunch.template = trans.sa_session.query( trans.app.model.FormDefinition ).get( template_id )
        for field_index in range( len( library_bunch.template.fields ) ):
            field_name = 'field_%i' % field_index
            if params.get( field_name, False ):
                field_value = util.restore_text( params.get( field_name, ''  ) )
                library_bunch.template_field_contents.append( field_value )
    else:
        library_bunch.template = None
    library_bunch.roles = []
    for role_id in util.listify( params.get( 'roles', [] ) ):
        role = trans.sa_session.query( trans.app.model.Role ).get( role_id )
        library_bunch.roles.append( role )
    return library_bunch
def get_precreated_datasets( trans, params, data_obj, controller='root' ):
    """
    Get any precreated datasets (when using asynchronous uploads).
    """
    rval = []
    async_datasets = []
    if params.get( 'async_datasets', None ) not in ["None", "", None]:
        async_datasets = params['async_datasets'].split(',')
    current_user_roles = trans.get_current_user_roles()
    for id in async_datasets:
        try:
            data = trans.sa_session.query( data_obj ).get( int( id ) )
        except:
            log.exception( 'Unable to load precreated dataset (%s) sent in upload form' % id )
            continue
        if data_obj is trans.app.model.HistoryDatasetAssociation:
            if trans.user is None and trans.galaxy_session.current_history != data.history:
                log.error( 'Got a precreated dataset (%s) but it does not belong to anonymous user\'s current session (%s)' % ( data.id, trans.galaxy_session.id ) )
            elif data.history.user != trans.user:
                log.error( 'Got a precreated dataset (%s) but it does not belong to current user (%s)' % ( data.id, trans.user.id ) )
            else:
                rval.append( data )
        elif data_obj is trans.app.model.LibraryDatasetDatasetAssociation:
            if controller == 'library' and not trans.app.security_agent.can_add_library_item( current_user_roles, data.library_dataset.folder ):
                log.error( 'Got a precreated dataset (%s) but this user (%s) is not allowed to write to it' % ( data.id, trans.user.id ) )
            else:
                rval.append( data )
    return rval
def get_precreated_dataset( precreated_datasets, name ):
    """
    Return a dataset matching a name from the list of precreated (via async
    upload) datasets. If there's more than one upload with the exact same
    name, we need to pop one (the first) so it isn't chosen next time.
    """
    names = [ d.name for d in precreated_datasets ]
    if names.count( name ) > 0:
        return precreated_datasets.pop( names.index( name ) )
    else:
        return None
def cleanup_unused_precreated_datasets( precreated_datasets ):
    for data in precreated_datasets:
        log.info( 'Cleaned up unclaimed precreated dataset (%s).' % ( data.id ) )
        data.state = data.states.ERROR
        data.info = 'No file contents were available.'

def new_history_upload( trans, uploaded_dataset, state=None ):
    hda = trans.app.model.HistoryDatasetAssociation( name = uploaded_dataset.name,
                                                     extension = uploaded_dataset.file_type,
                                                     dbkey = uploaded_dataset.dbkey, 
                                                     history = trans.history,
                                                     create_dataset = True,
                                                     sa_session = trans.sa_session )
    if state:
        hda.state = state
    else:
        hda.state = hda.states.QUEUED
    trans.sa_session.add( hda )
    trans.sa_session.flush()
    trans.history.add_dataset( hda, genome_build = uploaded_dataset.dbkey )
    permissions = trans.app.security_agent.history_get_default_permissions( trans.history )
    trans.app.security_agent.set_all_dataset_permissions( hda.dataset, permissions )
    trans.sa_session.flush()
    return hda
def new_library_upload( trans, cntrller, uploaded_dataset, library_bunch, state=None ):
    current_user_roles = trans.get_current_user_roles()
    if not ( ( trans.user_is_admin() and cntrller in [ 'library_admin', 'api' ] ) or trans.app.security_agent.can_add_library_item( current_user_roles, library_bunch.folder ) ):
        # This doesn't have to be pretty - the only time this should happen is if someone's being malicious.
        raise Exception( "User is not authorized to add datasets to this library." )
    folder = library_bunch.folder
    if uploaded_dataset.get( 'in_folder', False ):
        # Create subfolders if desired
        for name in uploaded_dataset.in_folder.split( os.path.sep ):
            trans.sa_session.refresh( folder )
            matches = filter( lambda x: x.name == name, active_folders( trans, folder ) )
            if matches:
                folder = matches[0]
            else:
                new_folder = trans.app.model.LibraryFolder( name=name, description='Automatically created by upload tool' )
                new_folder.genome_build = util.dbnames.default_value
                folder.add_folder( new_folder )
                trans.sa_session.add( new_folder )
                trans.sa_session.flush()
                trans.app.security_agent.copy_library_permissions( folder, new_folder )
                folder = new_folder
    if library_bunch.replace_dataset:
        ld = library_bunch.replace_dataset
    else:
        ld = trans.app.model.LibraryDataset( folder=folder, name=uploaded_dataset.name )
        trans.sa_session.add( ld )
        trans.sa_session.flush()
        trans.app.security_agent.copy_library_permissions( folder, ld )
    ldda = trans.app.model.LibraryDatasetDatasetAssociation( name = uploaded_dataset.name,
                                                             extension = uploaded_dataset.file_type,
                                                             dbkey = uploaded_dataset.dbkey,
                                                             library_dataset = ld,
                                                             user = trans.user,
                                                             create_dataset = True,
                                                             sa_session = trans.sa_session )
    trans.sa_session.add( ldda )
    if state:
        ldda.state = state
    else:
        ldda.state = ldda.states.QUEUED
    ldda.message = library_bunch.message
    trans.sa_session.flush()
    # Permissions must be the same on the LibraryDatasetDatasetAssociation and the associated LibraryDataset
    trans.app.security_agent.copy_library_permissions( ld, ldda )
    if library_bunch.replace_dataset:
        # Copy the Dataset level permissions from replace_dataset to the new LibraryDatasetDatasetAssociation.dataset
        trans.app.security_agent.copy_dataset_permissions( library_bunch.replace_dataset.library_dataset_dataset_association.dataset, ldda.dataset )
    else:
        # Copy the current user's DefaultUserPermissions to the new LibraryDatasetDatasetAssociation.dataset
        trans.app.security_agent.set_all_dataset_permissions( ldda.dataset, trans.app.security_agent.user_get_default_permissions( trans.user ) )
        folder.add_library_dataset( ld, genome_build=uploaded_dataset.dbkey )
        trans.sa_session.add( folder )
        trans.sa_session.flush()
    ld.library_dataset_dataset_association_id = ldda.id
    trans.sa_session.add( ld )
    trans.sa_session.flush()
    # Handle template included in the upload form, if any.  If the upload is not asynchronous ( e.g., URL paste ),
    # then the template and contents will be included in the library_bunch at this point.  If the upload is
    # asynchronous ( e.g., uploading a file ), then the template and contents will be included in the library_bunch
    # in the get_uploaded_datasets() method below.
    if library_bunch.template and library_bunch.template_field_contents:
        # Since information templates are inherited, the template fields can be displayed on the upload form.
        # If the user has added field contents, we'll need to create a new form_values and info_association
        # for the new library_dataset_dataset_association object.
        # Create a new FormValues object, using the template we previously retrieved
        form_values = trans.app.model.FormValues( library_bunch.template, library_bunch.template_field_contents )
        trans.sa_session.add( form_values )
        trans.sa_session.flush()
        # Create a new info_association between the current ldda and form_values
        # TODO: Currently info_associations at the ldda level are not inheritable to the associated LibraryDataset,
        # we need to figure out if this is optimal
        info_association = trans.app.model.LibraryDatasetDatasetInfoAssociation( ldda, library_bunch.template, form_values )
        trans.sa_session.add( info_association )
        trans.sa_session.flush()
    # If roles were selected upon upload, restrict access to the Dataset to those roles
    if library_bunch.roles:
        for role in library_bunch.roles:
            dp = trans.app.model.DatasetPermissions( trans.app.security_agent.permitted_actions.DATASET_ACCESS.action, ldda.dataset, role )
            trans.sa_session.add( dp )
            trans.sa_session.flush()
    return ldda
def new_upload( trans, cntrller, uploaded_dataset, library_bunch=None, state=None ):
    if library_bunch:
        return new_library_upload( trans, cntrller, uploaded_dataset, library_bunch, state )
    else:
        return new_history_upload( trans, uploaded_dataset, state )
def get_uploaded_datasets( trans, cntrller, params, precreated_datasets, dataset_upload_inputs, library_bunch=None ):
    uploaded_datasets = []
    for dataset_upload_input in dataset_upload_inputs:
        uploaded_datasets.extend( dataset_upload_input.get_uploaded_datasets( trans, params ) )
    for uploaded_dataset in uploaded_datasets:
        data = get_precreated_dataset( precreated_datasets, uploaded_dataset.name )
        if not data:
            data = new_upload( trans, cntrller, uploaded_dataset, library_bunch )
        else:
            data.extension = uploaded_dataset.file_type
            data.dbkey = uploaded_dataset.dbkey
            trans.sa_session.add( data )
            trans.sa_session.flush()
            if library_bunch:
                library_bunch.folder.genome_build = uploaded_dataset.dbkey
                trans.sa_session.add( library_bunch.folder )
                # Handle template included in the upload form, if any.  If the upload is asynchronous ( e.g., file upload ),
                # then the template and contents will be included in the library_bunch at this point.  If the upload is
                # not asynchronous ( e.g., URL paste ), then the template and contents will be included in the library_bunch
                # in the new_library_upload() method above.
                if library_bunch.template and library_bunch.template_field_contents:
                    # Since information templates are inherited, the template fields can be displayed on the upload form.
                    # If the user has added field contents, we'll need to create a new form_values and info_association
                    # for the new library_dataset_dataset_association object.
                    # Create a new FormValues object, using the template we previously retrieved
                    form_values = trans.app.model.FormValues( library_bunch.template, library_bunch.template_field_contents )
                    trans.sa_session.add( form_values )
                    trans.sa_session.flush()
                    # Create a new info_association between the current ldda and form_values
                    # TODO: Currently info_associations at the ldda level are not inheritable to the associated LibraryDataset,
                    # we need to figure out if this is optimal
                    info_association = trans.app.model.LibraryDatasetDatasetInfoAssociation( data, library_bunch.template, form_values )
                    trans.sa_session.add( info_association )
                trans.sa_session.flush()
            else:
                trans.history.genome_build = uploaded_dataset.dbkey
        uploaded_dataset.data = data
    return uploaded_datasets
def create_paramfile( trans, uploaded_datasets ):
    """
    Create the upload tool's JSON "param" file.
    """
    json_file = tempfile.mkstemp()
    json_file_path = json_file[1]
    json_file = os.fdopen( json_file[0], 'w' )
    for uploaded_dataset in uploaded_datasets:
        data = uploaded_dataset.data
        if uploaded_dataset.type == 'composite':
            # we need to init metadata before the job is dispatched
            data.init_meta()
            for meta_name, meta_value in uploaded_dataset.metadata.iteritems():
                setattr( data.metadata, meta_name, meta_value )
            trans.sa_session.add( data )
            trans.sa_session.flush()
            json = dict( file_type = uploaded_dataset.file_type,
                         dataset_id = data.dataset.id,
                         dbkey = uploaded_dataset.dbkey,
                         type = uploaded_dataset.type,
                         metadata = uploaded_dataset.metadata,
                         primary_file = uploaded_dataset.primary_file,
                         composite_file_paths = uploaded_dataset.composite_files,
                         composite_files = dict( [ ( k, v.__dict__ ) for k, v in data.datatype.get_composite_files( data ).items() ] ) )
        else:
            try:
                is_binary = uploaded_dataset.datatype.is_binary
            except:
                is_binary = None
            try:
                link_data_only = uploaded_dataset.link_data_only
            except:
                link_data_only = False
            json = dict( file_type = uploaded_dataset.file_type,
                         ext = uploaded_dataset.ext,
                         name = uploaded_dataset.name,
                         dataset_id = data.dataset.id,
                         dbkey = uploaded_dataset.dbkey,
                         type = uploaded_dataset.type,
                         is_binary = is_binary,
                         link_data_only = link_data_only,
                         space_to_tab = uploaded_dataset.space_to_tab,
                         path = uploaded_dataset.path )
        json_file.write( to_json_string( json ) + '\n' )
    json_file.close()
    return json_file_path
def create_job( trans, params, tool, json_file_path, data_list, folder=None, return_job=False ):
    """
    Create the upload job.
    """
    job = trans.app.model.Job()
    galaxy_session = trans.get_galaxy_session()
    if type( galaxy_session ) == trans.model.GalaxySession:
        job.session_id = galaxy_session.id
    if trans.user is not None:
        job.user_id = trans.user.id
    if folder:
        job.library_folder_id = folder.id
    else:
        job.history_id = trans.history.id
    job.tool_id = tool.id
    job.tool_version = tool.version
    job.state = job.states.UPLOAD
    trans.sa_session.add( job )
    trans.sa_session.flush()
    log.info( 'tool %s created job id %d' % ( tool.id, job.id ) )
    trans.log_event( 'created job id %d' % job.id, tool_id=tool.id )

    for name, value in tool.params_to_strings( params, trans.app ).iteritems():
        job.add_parameter( name, value )
    job.add_parameter( 'paramfile', to_json_string( json_file_path ) )
    if folder:
        for i, dataset in enumerate( data_list ):
            job.add_output_library_dataset( 'output%i' % i, dataset )
    else:
        for i, dataset in enumerate( data_list ):
            job.add_output_dataset( 'output%i' % i, dataset )
    job.state = job.states.NEW
    trans.sa_session.add( job )
    trans.sa_session.flush()

    # Queue the job for execution
    trans.app.job_queue.put( job.id, tool )
    trans.log_event( "Added job to the job queue, id: %s" % str(job.id), tool_id=job.tool_id )
    output = odict()
    for i, v in enumerate( data_list ):
        output[ 'output%i' % i ] = v
    if return_job:
        return job, output
    else:
        return output
def active_folders( trans, folder ):
    # Stolen from galaxy.web.controllers.library_common (importing from which causes a circular issues).
    # Much faster way of retrieving all active sub-folders within a given folder than the
    # performance of the mapper.  This query also eagerloads the permissions on each folder.
    return trans.sa_session.query( trans.app.model.LibraryFolder ) \
                           .filter_by( parent=folder, deleted=False ) \
                           .options( eagerload_all( "actions" ) ) \
                           .order_by( trans.app.model.LibraryFolder.table.c.name ) \
                           .all()