Remove direct references of the model from the the cleanup_datasets_fix migration script.

This commit is contained in:
Daniel Blankenberg
2009-04-27 16:30:08 -04:00
parent 11312358a4
commit ffa5fcabfd
@@ -0,0 +1,705 @@
import sys, logging, os, time, datetime, errno
log = logging.getLogger( __name__ )
log.setLevel(logging.DEBUG)
handler = logging.StreamHandler( sys.stdout )
format = "%(name)s %(levelname)s %(asctime)s %(message)s"
formatter = logging.Formatter( format )
handler.setFormatter( formatter )
log.addHandler( handler )
from migrate import migrate_engine
from sqlalchemy import and_
from sqlalchemy import *
now = datetime.datetime.utcnow
from sqlalchemy.orm import *
from galaxy.model.orm.ext.assignmapper import assign_mapper
from galaxy.model.custom_types import *
from galaxy.util.bunch import Bunch
metadata = MetaData( migrate_engine )
context = scoped_session( sessionmaker( autoflush=False, transactional=False ) )
## classes
def get_permitted_actions( **kwds ):
return Bunch()
def directory_hash_id( id ):
s = str( id )
l = len( s )
# Shortcut -- ids 0-999 go under ../000/
if l < 4:
return [ "000" ]
# Pad with zeros until a multiple of three
padded = ( ( 3 - len( s ) % 3 ) * "0" ) + s
# Drop the last three digits -- 1000 files per directory
padded = padded[:-3]
# Break into chunks of three
return [ padded[i*3:(i+1)*3] for i in range( len( padded ) // 3 ) ]
class Dataset( object ):
states = Bunch( NEW = 'new',
UPLOAD = 'upload',
QUEUED = 'queued',
RUNNING = 'running',
OK = 'ok',
EMPTY = 'empty',
ERROR = 'error',
DISCARDED = 'discarded' )
permitted_actions = get_permitted_actions( filter='DATASET' )
file_path = "/tmp/"
engine = None
def __init__( self, id=None, state=None, external_filename=None, extra_files_path=None, file_size=None, purgable=True ):
self.id = id
self.state = state
self.deleted = False
self.purged = False
self.purgable = purgable
self.external_filename = external_filename
self._extra_files_path = extra_files_path
self.file_size = file_size
def get_file_name( self ):
if not self.external_filename:
assert self.id is not None, "ID must be set before filename used (commit the object)"
# First try filename directly under file_path
filename = os.path.join( self.file_path, "dataset_%d.dat" % self.id )
# Only use that filename if it already exists (backward compatibility),
# otherwise construct hashed path
if not os.path.exists( filename ):
dir = os.path.join( self.file_path, *directory_hash_id( self.id ) )
# Create directory if it does not exist
try:
os.makedirs( dir )
except OSError, e:
# File Exists is okay, otherwise reraise
if e.errno != errno.EEXIST:
raise
# Return filename inside hashed directory
return os.path.abspath( os.path.join( dir, "dataset_%d.dat" % self.id ) )
else:
filename = self.external_filename
# Make filename absolute
return os.path.abspath( filename )
def set_file_name ( self, filename ):
if not filename:
self.external_filename = None
else:
self.external_filename = filename
file_name = property( get_file_name, set_file_name )
@property
def extra_files_path( self ):
if self._extra_files_path:
path = self._extra_files_path
else:
path = os.path.join( self.file_path, "dataset_%d_files" % self.id )
#only use path directly under self.file_path if it exists
if not os.path.exists( path ):
path = os.path.join( os.path.join( self.file_path, *directory_hash_id( self.id ) ), "dataset_%d_files" % self.id )
# Make path absolute
return os.path.abspath( path )
def get_size( self ):
"""Returns the size of the data on disk"""
if self.file_size:
return self.file_size
else:
try:
return os.path.getsize( self.file_name )
except OSError:
return 0
def set_size( self ):
"""Returns the size of the data on disk"""
try:
if not self.file_size:
self.file_size = os.path.getsize( self.file_name )
except OSError:
self.file_size = 0
def has_data( self ):
"""Detects whether there is any data"""
return self.get_size() > 0
def mark_deleted( self, include_children=True ):
self.deleted = True
# FIXME: sqlalchemy will replace this
def _delete(self):
"""Remove the file that corresponds to this data"""
try:
os.remove(self.data.file_name)
except OSError, e:
log.critical('%s delete error %s' % (self.__class__.__name__, e))
class DatasetInstance( object ):
"""A base class for all 'dataset instances', HDAs, LDAs, etc"""
states = Dataset.states
permitted_actions = Dataset.permitted_actions
def __init__( self, id=None, hid=None, name=None, info=None, blurb=None, peek=None, extension=None,
dbkey=None, metadata=None, history=None, dataset=None, deleted=False, designation=None,
parent_id=None, validation_errors=None, visible=True, create_dataset = False ):
self.name = name or "Unnamed dataset"
self.id = id
self.info = info
self.blurb = blurb
self.peek = peek
self.extension = extension
self.designation = designation
self.metadata = metadata or dict()
if dbkey: #dbkey is stored in metadata, only set if non-zero, or else we could clobber one supplied by input 'metadata'
self.dbkey = dbkey
self.deleted = deleted
self.visible = visible
# Relationships
if not dataset and create_dataset:
dataset = Dataset( state=Dataset.states.NEW )
dataset.flush()
self.dataset = dataset
self.parent_id = parent_id
self.validation_errors = validation_errors
@property
def ext( self ):
return self.extension
def get_dataset_state( self ):
return self.dataset.state
def set_dataset_state ( self, state ):
self.dataset.state = state
self.dataset.flush() #flush here, because hda.flush() won't flush the Dataset object
state = property( get_dataset_state, set_dataset_state )
def get_file_name( self ):
return self.dataset.get_file_name()
def set_file_name (self, filename):
return self.dataset.set_file_name( filename )
file_name = property( get_file_name, set_file_name )
@property
def extra_files_path( self ):
return self.dataset.extra_files_path
@property
def datatype( self ):
return datatypes_registry.get_datatype_by_extension( self.extension )
def get_metadata( self ):
if not hasattr( self, '_metadata_collection' ) or self._metadata_collection.parent != self: #using weakref to store parent (to prevent circ ref), does a context.clear() cause parent to be invalidated, while still copying over this non-database attribute?
self._metadata_collection = MetadataCollection( self )
return self._metadata_collection
def set_metadata( self, bunch ):
# Needs to accept a MetadataCollection, a bunch, or a dict
self._metadata = self.metadata.make_dict_copy( bunch )
metadata = property( get_metadata, set_metadata )
# This provide backwards compatibility with using the old dbkey
# field in the database. That field now maps to "old_dbkey" (see mapping.py).
def get_dbkey( self ):
dbkey = self.metadata.dbkey
if not isinstance(dbkey, list): dbkey = [dbkey]
if dbkey in [[None], []]: return "?"
return dbkey[0]
def set_dbkey( self, value ):
if "dbkey" in self.datatype.metadata_spec:
if not isinstance(value, list):
self.metadata.dbkey = [value]
else:
self.metadata.dbkey = value
dbkey = property( get_dbkey, set_dbkey )
def change_datatype( self, new_ext ):
self.clear_associated_files()
datatypes_registry.change_datatype( self, new_ext )
def get_size( self ):
"""Returns the size of the data on disk"""
return self.dataset.get_size()
def set_size( self ):
"""Returns the size of the data on disk"""
return self.dataset.set_size()
def has_data( self ):
"""Detects whether there is any data"""
return self.dataset.has_data()
def get_raw_data( self ):
"""Returns the full data. To stream it open the file_name and read/write as needed"""
return self.datatype.get_raw_data( self )
def write_from_stream( self, stream ):
"""Writes data from a stream"""
self.datatype.write_from_stream(self, stream)
def set_raw_data( self, data ):
"""Saves the data on the disc"""
self.datatype.set_raw_data(self, data)
def get_mime( self ):
"""Returns the mime type of the data"""
return datatypes_registry.get_mimetype_by_extension( self.extension.lower() )
def set_peek( self ):
return self.datatype.set_peek( self )
def set_multi_byte_peek( self ):
return self.datatype.set_multi_byte_peek( self )
def init_meta( self, copy_from=None ):
return self.datatype.init_meta( self, copy_from=copy_from )
def set_meta( self, **kwd ):
self.clear_associated_files( metadata_safe = True )
return self.datatype.set_meta( self, **kwd )
def set_readonly_meta( self, **kwd ):
return self.datatype.set_readonly_meta( self, **kwd )
def missing_meta( self, **kwd ):
return self.datatype.missing_meta( self, **kwd )
def as_display_type( self, type, **kwd ):
return self.datatype.as_display_type( self, type, **kwd )
def display_peek( self ):
return self.datatype.display_peek( self )
def display_name( self ):
return self.datatype.display_name( self )
def display_info( self ):
return self.datatype.display_info( self )
def get_converted_files_by_type( self, file_type ):
valid = []
for assoc in self.implicitly_converted_datasets:
if not assoc.deleted and assoc.type == file_type:
valid.append( assoc.dataset )
return valid
def clear_associated_files( self, metadata_safe = False, purge = False ):
raise 'Unimplemented'
def get_child_by_designation(self, designation):
for child in self.children:
if child.designation == designation:
return child
return None
def get_converter_types(self):
return self.datatype.get_converter_types( self, datatypes_registry)
def find_conversion_destination( self, accepted_formats, **kwd ):
"""Returns ( target_ext, exisiting converted dataset )"""
return self.datatype.find_conversion_destination( self, accepted_formats, datatypes_registry, **kwd )
def add_validation_error( self, validation_error ):
self.validation_errors.append( validation_error )
def extend_validation_errors( self, validation_errors ):
self.validation_errors.extend(validation_errors)
def mark_deleted( self, include_children=True ):
self.deleted = True
if include_children:
for child in self.children:
child.mark_deleted()
def mark_undeleted( self, include_children=True ):
self.deleted = False
if include_children:
for child in self.children:
child.mark_undeleted()
def undeletable( self ):
if self.purged:
return False
return True
@property
def source_library_dataset( self ):
def get_source( dataset ):
if isinstance( dataset, LibraryDatasetDatasetAssociation ):
if dataset.library_dataset:
return ( dataset, dataset.library_dataset )
if dataset.copied_from_library_dataset_dataset_association:
source = get_source( dataset.copied_from_library_dataset_dataset_association )
if source:
return source
if dataset.copied_from_history_dataset_association:
source = get_source( dataset.copied_from_history_dataset_association )
if source:
return source
return ( None, None )
return get_source( self )
class HistoryDatasetAssociation( DatasetInstance ):
def __init__( self,
hid = None,
history = None,
copied_from_history_dataset_association = None,
copied_from_library_dataset_dataset_association = None,
**kwd ):
DatasetInstance.__init__( self, **kwd )
self.hid = hid
# Relationships
self.history = history
self.copied_from_history_dataset_association = copied_from_history_dataset_association
self.copied_from_library_dataset_dataset_association = copied_from_library_dataset_dataset_association
def copy( self, copy_children = False, parent_id = None, target_history = None ):
hda = HistoryDatasetAssociation( hid=self.hid,
name=self.name,
info=self.info,
blurb=self.blurb,
peek=self.peek,
extension=self.extension,
dbkey=self.dbkey,
dataset = self.dataset,
visible=self.visible,
deleted=self.deleted,
parent_id=parent_id,
copied_from_history_dataset_association=self,
history = target_history )
hda.flush()
hda.set_size()
# Need to set after flushed, as MetadataFiles require dataset.id
hda.metadata = self.metadata
if copy_children:
for child in self.children:
child_copy = child.copy( copy_children = copy_children, parent_id = hda.id )
if not self.datatype.copy_safe_peek:
# In some instances peek relies on dataset_id, i.e. gmaj.zip for viewing MAFs
hda.set_peek()
hda.flush()
return hda
def to_library_dataset_dataset_association( self, target_folder, replace_dataset=None, parent_id=None ):
if replace_dataset:
# The replace_dataset param ( when not None ) refers to a LibraryDataset that is being replaced with a new version.
library_dataset = replace_dataset
else:
# If replace_dataset is None, the Library level permissions will be taken from the folder and applied to the new
# LibraryDataset, and the current user's DefaultUserPermissions will be applied to the associated Dataset.
library_dataset = LibraryDataset( folder=target_folder, name=self.name, info=self.info )
library_dataset.flush()
ldda = LibraryDatasetDatasetAssociation( name=self.name,
info=self.info,
blurb=self.blurb,
peek=self.peek,
extension=self.extension,
dbkey=self.dbkey,
dataset=self.dataset,
library_dataset=library_dataset,
visible=self.visible,
deleted=self.deleted,
parent_id=parent_id,
copied_from_history_dataset_association=self,
user=self.history.user )
ldda.flush()
# Permissions must be the same on the LibraryDatasetDatasetAssociation and the associated LibraryDataset
# Must set metadata after ldda flushed, as MetadataFiles require ldda.id
ldda.metadata = self.metadata
if not replace_dataset:
target_folder.add_library_dataset( library_dataset, genome_build=ldda.dbkey )
target_folder.flush()
library_dataset.library_dataset_dataset_association_id = ldda.id
library_dataset.flush()
for child in self.children:
child_copy = child.to_library_dataset_dataset_association( target_folder=target_folder, replace_dataset=replace_dataset, parent_id=ldda.id )
if not self.datatype.copy_safe_peek:
# In some instances peek relies on dataset_id, i.e. gmaj.zip for viewing MAFs
ldda.set_peek()
ldda.flush()
return ldda
def clear_associated_files( self, metadata_safe = False, purge = False ):
# metadata_safe = True means to only clear when assoc.metadata_safe == False
for assoc in self.implicitly_converted_datasets:
if not metadata_safe or not assoc.metadata_safe:
assoc.clear( purge = purge )
class LibraryDatasetDatasetAssociation( DatasetInstance ):
def __init__( self,
copied_from_history_dataset_association=None,
copied_from_library_dataset_dataset_association=None,
library_dataset=None,
user=None,
**kwd ):
DatasetInstance.__init__( self, **kwd )
self.copied_from_history_dataset_association = copied_from_history_dataset_association
self.copied_from_library_dataset_dataset_association = copied_from_library_dataset_dataset_association
self.library_dataset = library_dataset
self.user = user
def to_history_dataset_association( self, target_history, parent_id=None ):
hid = target_history._next_hid()
hda = HistoryDatasetAssociation( name=self.name,
info=self.info,
blurb=self.blurb,
peek=self.peek,
extension=self.extension,
dbkey=self.dbkey,
dataset=self.dataset,
visible=self.visible,
deleted=self.deleted,
parent_id=parent_id,
copied_from_library_dataset_dataset_association=self,
history=target_history,
hid=hid )
hda.flush()
hda.metadata = self.metadata #need to set after flushed, as MetadataFiles require dataset.id
for child in self.children:
child_copy = child.to_history_dataset_association( target_history=target_history, parent_id=hda.id )
if not self.datatype.copy_safe_peek:
hda.set_peek() #in some instances peek relies on dataset_id, i.e. gmaj.zip for viewing MAFs
hda.flush()
return hda
def copy( self, copy_children = False, parent_id = None, target_folder = None ):
ldda = LibraryDatasetDatasetAssociation( name=self.name,
info=self.info,
blurb=self.blurb,
peek=self.peek,
extension=self.extension,
dbkey=self.dbkey,
dataset=self.dataset,
visible=self.visible,
deleted=self.deleted,
parent_id=parent_id,
copied_from_library_dataset_dataset_association=self,
folder=target_folder )
ldda.flush()
# Need to set after flushed, as MetadataFiles require dataset.id
ldda.metadata = self.metadata
if copy_children:
for child in self.children:
child_copy = child.copy( copy_children = copy_children, parent_id = ldda.id )
if not self.datatype.copy_safe_peek:
# In some instances peek relies on dataset_id, i.e. gmaj.zip for viewing MAFs
ldda.set_peek()
ldda.flush()
return ldda
def clear_associated_files( self, metadata_safe = False, purge = False ):
return
def get_library_item_info_templates( self, template_list=[], restrict=False ):
# If restrict is True, we'll return only those templates directly associated with this LibraryDatasetDatasetAssociation
if self.library_dataset_dataset_info_template_associations:
template_list.extend( [ lddita.library_item_info_template for lddita in self.library_dataset_dataset_info_template_associations if lddita.library_item_info_template not in template_list ] )
self.library_dataset.get_library_item_info_templates( template_list, restrict )
return template_list
class LibraryDataset( object ):
# This class acts as a proxy to the currently selected LDDA
def __init__( self, folder=None, order_id=None, name=None, info=None, library_dataset_dataset_association=None, **kwd ):
self.folder = folder
self.order_id = order_id
self.name = name
self.info = info
self.library_dataset_dataset_association = library_dataset_dataset_association
def set_library_dataset_dataset_association( self, ldda ):
self.library_dataset_dataset_association = ldda
ldda.library_dataset = self
ldda.flush()
self.flush()
def get_info( self ):
if self.library_dataset_dataset_association:
return self.library_dataset_dataset_association.info
elif self._info:
return self._info
else:
return 'no info'
def set_info( self, info ):
self._info = info
info = property( get_info, set_info )
def get_name( self ):
if self.library_dataset_dataset_association:
return self.library_dataset_dataset_association.name
elif self._name:
return self._name
else:
return 'Unnamed dataset'
def set_name( self, name ):
self._name = name
name = property( get_name, set_name )
def display_name( self ):
self.library_dataset_dataset_association.display_name()
def get_purged( self ):
return self.library_dataset_dataset_association.dataset.purged
def set_purged( self, purged ):
if purged:
raise Exception( "Not implemented" )
if not purged and self.purged:
raise Exception( "Cannot unpurge once purged" )
purged = property( get_purged, set_purged )
def get_library_item_info_templates( self, template_list=[], restrict=False ):
# If restrict is True, we'll return only those templates directly associated with this LibraryDataset
if self.library_dataset_info_template_associations:
template_list.extend( [ ldita.library_item_info_template for ldita in self.library_dataset_info_template_associations if ldita.library_item_info_template not in template_list ] )
if restrict not in [ 'True', True ]:
self.folder.get_library_item_info_templates( template_list, restrict )
return template_list
##tables
Dataset.table = Table( "dataset", metadata,
Column( "id", Integer, primary_key=True ),
Column( "create_time", DateTime, default=now ),
Column( "update_time", DateTime, index=True, default=now, onupdate=now ),
Column( "state", TrimmedString( 64 ) ),
Column( "deleted", Boolean, index=True, default=False ),
Column( "purged", Boolean, index=True, default=False ),
Column( "purgable", Boolean, default=True ),
Column( "external_filename" , TEXT ),
Column( "_extra_files_path", TEXT ),
Column( 'file_size', Numeric( 15, 0 ) ) )
HistoryDatasetAssociation.table = Table( "history_dataset_association", metadata,
Column( "id", Integer, primary_key=True ),
Column( "dataset_id", Integer, ForeignKey( "dataset.id" ), index=True ),
Column( "create_time", DateTime, default=now ),
Column( "update_time", DateTime, default=now, onupdate=now ),
Column( "copied_from_history_dataset_association_id", Integer, ForeignKey( "history_dataset_association.id" ), nullable=True ),
Column( "copied_from_library_dataset_dataset_association_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), nullable=True ),
Column( "hid", Integer ),
Column( "name", TrimmedString( 255 ) ),
Column( "info", TrimmedString( 255 ) ),
Column( "blurb", TrimmedString( 255 ) ),
Column( "peek" , TEXT ),
Column( "extension", TrimmedString( 64 ) ),
Column( "metadata", MetadataType(), key="_metadata" ),
Column( "parent_id", Integer, ForeignKey( "history_dataset_association.id" ), nullable=True ),
Column( "designation", TrimmedString( 255 ) ),
Column( "deleted", Boolean, index=True, default=False ),
Column( "visible", Boolean ) )
LibraryDatasetDatasetAssociation.table = Table( "library_dataset_dataset_association", metadata,
Column( "id", Integer, primary_key=True ),
Column( "library_dataset_id", Integer, ForeignKey( "library_dataset.id" ), index=True ),
Column( "dataset_id", Integer, ForeignKey( "dataset.id" ), index=True ),
Column( "create_time", DateTime, default=now ),
Column( "update_time", DateTime, default=now, onupdate=now ),
Column( "copied_from_history_dataset_association_id", Integer, ForeignKey( "history_dataset_association.id", use_alter=True, name='history_dataset_association_dataset_id_fkey' ), nullable=True ),
Column( "copied_from_library_dataset_dataset_association_id", Integer, ForeignKey( "library_dataset_dataset_association.id", use_alter=True, name='library_dataset_dataset_association_id_fkey' ), nullable=True ),
Column( "name", TrimmedString( 255 ) ),
Column( "info", TrimmedString( 255 ) ),
Column( "blurb", TrimmedString( 255 ) ),
Column( "peek" , TEXT ),
Column( "extension", TrimmedString( 64 ) ),
Column( "metadata", MetadataType(), key="_metadata" ),
Column( "parent_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), nullable=True ),
Column( "designation", TrimmedString( 255 ) ),
Column( "deleted", Boolean, index=True, default=False ),
Column( "visible", Boolean ),
Column( "message", TrimmedString( 255 ) ) )
LibraryDataset.table = Table( "library_dataset", metadata,
Column( "id", Integer, primary_key=True ),
Column( "library_dataset_dataset_association_id", Integer, ForeignKey( "library_dataset_dataset_association.id", use_alter=True, name="library_dataset_dataset_association_id_fk" ), nullable=True, index=True ),#current version of dataset, if null, there is not a current version selected
Column( "order_id", Integer ),
Column( "create_time", DateTime, default=now ),
Column( "update_time", DateTime, default=now, onupdate=now ),
Column( "name", TrimmedString( 255 ), key="_name" ), #when not None/null this will supercede display in library (but not when imported into user's history?)
Column( "info", TrimmedString( 255 ), key="_info" ), #when not None/null this will supercede display in library (but not when imported into user's history?)
Column( "deleted", Boolean, index=True, default=False ) )
##mappers
assign_mapper( context, Dataset, Dataset.table,
properties=dict(
history_associations=relation(
HistoryDatasetAssociation,
primaryjoin=( Dataset.table.c.id == HistoryDatasetAssociation.table.c.dataset_id ) ),
active_history_associations=relation(
HistoryDatasetAssociation,
primaryjoin=( ( Dataset.table.c.id == HistoryDatasetAssociation.table.c.dataset_id ) & ( HistoryDatasetAssociation.table.c.deleted == False ) ) ),
library_associations=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( Dataset.table.c.id == LibraryDatasetDatasetAssociation.table.c.dataset_id ) ),
active_library_associations=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( ( Dataset.table.c.id == LibraryDatasetDatasetAssociation.table.c.dataset_id ) & ( LibraryDatasetDatasetAssociation.table.c.deleted == False ) ) )
) )
assign_mapper( context, HistoryDatasetAssociation, HistoryDatasetAssociation.table,
properties=dict(
dataset=relation(
Dataset,
primaryjoin=( Dataset.table.c.id == HistoryDatasetAssociation.table.c.dataset_id ), lazy=False ),
# .history defined in History mapper
copied_to_history_dataset_associations=relation(
HistoryDatasetAssociation,
primaryjoin=( HistoryDatasetAssociation.table.c.copied_from_history_dataset_association_id == HistoryDatasetAssociation.table.c.id ),
backref=backref( "copied_from_history_dataset_association", primaryjoin=( HistoryDatasetAssociation.table.c.copied_from_history_dataset_association_id == HistoryDatasetAssociation.table.c.id ), remote_side=[HistoryDatasetAssociation.table.c.id], uselist=False ) ),
copied_to_library_dataset_dataset_associations=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( HistoryDatasetAssociation.table.c.copied_from_library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ),
backref=backref( "copied_from_history_dataset_association", primaryjoin=( HistoryDatasetAssociation.table.c.copied_from_library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ), remote_side=[LibraryDatasetDatasetAssociation.table.c.id], uselist=False ) ),
children=relation(
HistoryDatasetAssociation,
primaryjoin=( HistoryDatasetAssociation.table.c.parent_id == HistoryDatasetAssociation.table.c.id ),
backref=backref( "parent", primaryjoin=( HistoryDatasetAssociation.table.c.parent_id == HistoryDatasetAssociation.table.c.id ), remote_side=[HistoryDatasetAssociation.table.c.id], uselist=False ) ),
visible_children=relation(
HistoryDatasetAssociation,
primaryjoin=( ( HistoryDatasetAssociation.table.c.parent_id == HistoryDatasetAssociation.table.c.id ) & ( HistoryDatasetAssociation.table.c.visible == True ) ) )
) )
assign_mapper( context, LibraryDatasetDatasetAssociation, LibraryDatasetDatasetAssociation.table,
properties=dict(
dataset=relation( Dataset ),
library_dataset = relation( LibraryDataset,
primaryjoin=( LibraryDatasetDatasetAssociation.table.c.library_dataset_id == LibraryDataset.table.c.id ) ),
copied_to_library_dataset_dataset_associations=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( LibraryDatasetDatasetAssociation.table.c.copied_from_library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ),
backref=backref( "copied_from_library_dataset_dataset_association", primaryjoin=( LibraryDatasetDatasetAssociation.table.c.copied_from_library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ), remote_side=[LibraryDatasetDatasetAssociation.table.c.id] ) ),
copied_to_history_dataset_associations=relation(
HistoryDatasetAssociation,
primaryjoin=( HistoryDatasetAssociation.table.c.copied_from_library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ),
backref=backref( "copied_from_library_dataset_dataset_association", primaryjoin=( HistoryDatasetAssociation.table.c.copied_from_library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ), remote_side=[LibraryDatasetDatasetAssociation.table.c.id], uselist=False ) ),
children=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( LibraryDatasetDatasetAssociation.table.c.parent_id == LibraryDatasetDatasetAssociation.table.c.id ),
backref=backref( "parent", primaryjoin=( LibraryDatasetDatasetAssociation.table.c.parent_id == LibraryDatasetDatasetAssociation.table.c.id ), remote_side=[LibraryDatasetDatasetAssociation.table.c.id] ) ),
visible_children=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( ( LibraryDatasetDatasetAssociation.table.c.parent_id == LibraryDatasetDatasetAssociation.table.c.id ) & ( LibraryDatasetDatasetAssociation.table.c.visible == True ) ) )
) )
assign_mapper( context, LibraryDataset, LibraryDataset.table,
properties=dict(
library_dataset_dataset_association=relation( LibraryDatasetDatasetAssociation, primaryjoin=( LibraryDataset.table.c.library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ) ),
expired_datasets = relation( LibraryDatasetDatasetAssociation, foreign_keys=[LibraryDataset.table.c.id,LibraryDataset.table.c.library_dataset_dataset_association_id ], primaryjoin=( ( LibraryDataset.table.c.id == LibraryDatasetDatasetAssociation.table.c.library_dataset_id ) & ( not_( LibraryDataset.table.c.library_dataset_dataset_association_id == LibraryDatasetDatasetAssociation.table.c.id ) ) ), viewonly=True, uselist=True )
) )
def __guess_dataset_by_filename( filename ):
"""Return a guessed dataset by filename"""
try:
fields = os.path.split( filename )
if fields:
if fields[-1].startswith( 'dataset_' ) and fields[-1].endswith( '.dat' ): #dataset_%d.dat
return Dataset.get( int( fields[-1][ len( 'dataset_' ): -len( '.dat' ) ] ) )
except:
pass #some parsing error, we can't guess Dataset
return None
def upgrade():
log.debug( "Fixing a discrepancy concerning deleted shared history items." )
affected_items = 0
start_time = time.time()
for dataset in Dataset.filter( and_( Dataset.c.deleted == True, Dataset.c.purged == False ) ).all():
for dataset_instance in dataset.history_associations + dataset.library_associations:
if not dataset_instance.deleted:
dataset.deleted = False
if dataset.file_size in [ None, 0 ]:
dataset.set_size() #Restore filesize
affected_items += 1
break
context.flush()
log.debug( "%i items affected, and restored." % ( affected_items ) )
log.debug( "Time elapsed: %s" % ( time.time() - start_time ) )
#fix share before hda
log.debug( "Fixing a discrepancy concerning cleaning up deleted history items shared before HDAs." )
dataset_by_filename = {}
changed_associations = 0
start_time = time.time()
for dataset in Dataset.filter( Dataset.external_filename.like( '%dataset_%.dat' ) ).all():
if dataset.file_name in dataset_by_filename:
guessed_dataset = dataset_by_filename[ dataset.file_name ]
else:
guessed_dataset = __guess_dataset_by_filename( dataset.file_name )
if guessed_dataset and dataset.file_name != guessed_dataset.file_name:#not os.path.samefile( dataset.file_name, guessed_dataset.file_name ):
guessed_dataset = None
dataset_by_filename[ dataset.file_name ] = guessed_dataset
if guessed_dataset is not None and guessed_dataset.id != dataset.id: #could we have a self referential dataset?
for dataset_instance in dataset.history_associations + dataset.library_associations:
dataset_instance.dataset = guessed_dataset
changed_associations += 1
#mark original Dataset as deleted and purged, it is no longer in use, but do not delete file_name contents
dataset.deleted = True
dataset.external_filename = "Dataset was result of share before HDA, and has been replaced: %s mapped to Dataset %s" % ( dataset.external_filename, guessed_dataset.id )
dataset.purged = True #we don't really purge the file here, but we mark it as purged, since this dataset is now defunct
context.flush()
log.debug( "%i items affected, and restored." % ( changed_associations ) )
log.debug( "Time elapsed: %s" % ( time.time() - start_time ) )
def downgrade():
log.debug( "Downgrade is not possible." )