def rename_collection(this, collectionid, newname):
from galaxy.managers.collections import DatasetCollectionManager
payload = {'name' : newname}
instance_id = int(this.trans.app.security.decode_id(collectionid))
collection_instance = this.trans.sa_session.query(this.trans.app.model.HistoryDatasetCollectionAssociation).get(instance_id)
payload = DatasetCollectionManager(this.trans.app)._validate_and_parse_update_payload(payload)
DatasetCollectionManager(this.trans.app)._set_from_dict(this.trans, collection_instance, payload)
def __init__(self, app):
self.app = app
self.sa_session = app.model.context
self.hda_manager = HDAManager(app)
self.dataset_collection_manager = DatasetCollectionManager(app)
self.ldda_manager = LDDAManager(app)
self.decode_id = self.app.security.decode_id
def __init__(self, **kwargs):
if not log.handlers:
# Paste didn't handle it, so we need a temporary basic log
# configured. The handler added here gets dumped and replaced with
# an appropriately configured logger in configure_logging below.
logging.basicConfig(level=logging.DEBUG)
log.debug("python path is: %s", ", ".join(sys.path))
self.name = 'galaxy'
self.startup_timer = ExecutionTimer()
self.new_installation = False
# Read config file and check for errors
self.config = config.Configuration(**kwargs)
self.config.check()
config.configure_logging(self.config)
self.configure_fluent_log()
# A lot of postfork initialization depends on the server name, ensure it is set immediately after forking before other postfork functions
self.application_stack = application_stack_instance(app=self)
self.application_stack.register_postfork_function(
self.application_stack.set_postfork_server_name, self)
self.config.reload_sanitize_whitelist(
explicit='sanitize_whitelist_file' in kwargs)
self.amqp_internal_connection_obj = galaxy.queues.connection_from_config(
self.config)
# control_worker *can* be initialized with a queue, but here we don't
# want to and we'll allow postfork to bind and start it.
self.control_worker = GalaxyQueueWorker(self)
self._configure_tool_shed_registry()
self._configure_object_store(fsmon=True)
# Setup the database engine and ORM
config_file = kwargs.get('global_conf', {}).get('__file__', None)
if config_file:
log.debug('Using "galaxy.ini" config file: %s', config_file)
check_migrate_tools = self.config.check_migrate_tools
self._configure_models(
check_migrate_databases=self.config.check_migrate_databases,
check_migrate_tools=check_migrate_tools,
config_file=config_file)
# Manage installed tool shed repositories.
self.installed_repository_manager = installed_repository_manager.InstalledRepositoryManager(
self)
self._configure_datatypes_registry(self.installed_repository_manager)
galaxy.model.set_datatypes_registry(self.datatypes_registry)
# Security helper
self._configure_security()
# Tag handler
self.tag_handler = GalaxyTagHandler(self.model.context)
self.dataset_collections_service = DatasetCollectionManager(self)
self.history_manager = HistoryManager(self)
self.dependency_resolvers_view = DependencyResolversView(self)
self.test_data_resolver = test_data.TestDataResolver(
file_dirs=self.config.tool_test_data_directories)
self.library_folder_manager = FolderManager()
self.library_manager = LibraryManager()
self.dynamic_tool_manager = DynamicToolManager(self)
# Tool Data Tables
self._configure_tool_data_tables(from_shed_config=False)
# Load dbkey / genome build manager
self._configure_genome_builds(data_table_name="__dbkeys__",
load_old_style=True)
# Genomes
self.genomes = Genomes(self)
# Data providers registry.
self.data_provider_registry = DataProviderRegistry()
# Initialize job metrics manager, needs to be in place before
# config so per-destination modifications can be made.
self.job_metrics = job_metrics.JobMetrics(
self.config.job_metrics_config_file, app=self)
# Initialize error report plugins.
self.error_reports = ErrorReports(self.config.error_report_file,
app=self)
# Initialize the job management configuration
self.job_config = jobs.JobConfiguration(self)
# Setup a Tool Cache
self.tool_cache = ToolCache()
self.tool_shed_repository_cache = ToolShedRepositoryCache(self)
# Watch various config files for immediate reload
self.watchers = ConfigWatchers(self)
self._configure_toolbox()
# Load Data Manager
self.data_managers = DataManagers(self)
# Load the update repository manager.
self.update_repository_manager = update_repository_manager.UpdateRepositoryManager(
self)
# Load proprietary datatype converters and display applications.
self.installed_repository_manager.load_proprietary_converters_and_display_applications(
)
# Load datatype display applications defined in local datatypes_conf.xml
self.datatypes_registry.load_display_applications(self)
# Load datatype converters defined in local datatypes_conf.xml
self.datatypes_registry.load_datatype_converters(self.toolbox)
# Load external metadata tool
self.datatypes_registry.load_external_metadata_tool(self.toolbox)
# Load history import/export tools.
load_lib_tools(self.toolbox)
# visualizations registry: associates resources with visualizations, controls how to render
self.visualizations_registry = VisualizationsRegistry(
self,
directories_setting=self.config.visualization_plugins_directory,
template_cache_dir=self.config.template_cache)
# Tours registry
self.tour_registry = ToursRegistry(self.config.tour_config_dir)
# Webhooks registry
self.webhooks_registry = WebhooksRegistry(self.config.webhooks_dirs)
# Load security policy.
self.security_agent = self.model.security_agent
self.host_security_agent = galaxy.model.security.HostAgent(
model=self.security_agent.model,
permitted_actions=self.security_agent.permitted_actions)
# Load quota management.
if self.config.enable_quotas:
self.quota_agent = galaxy.quota.QuotaAgent(self.model)
else:
self.quota_agent = galaxy.quota.NoQuotaAgent(self.model)
# Heartbeat for thread profiling
self.heartbeat = None
from galaxy import auth
self.auth_manager = auth.AuthManager(self)
# Start the heartbeat process if configured and available (wait until
# postfork if using uWSGI)
if self.config.use_heartbeat:
if heartbeat.Heartbeat:
self.heartbeat = heartbeat.Heartbeat(
self.config,
period=self.config.heartbeat_interval,
fname=self.config.heartbeat_log)
self.heartbeat.daemon = True
self.application_stack.register_postfork_function(
self.heartbeat.start)
if self.config.enable_oidc:
from galaxy.authnz import managers
self.authnz_manager = managers.AuthnzManager(
self, self.config.oidc_config,
self.config.oidc_backends_config)
self.sentry_client = None
if self.config.sentry_dsn:
def postfork_sentry_client():
import raven
self.sentry_client = raven.Client(
self.config.sentry_dsn,
transport=raven.transport.HTTPTransport)
self.application_stack.register_postfork_function(
postfork_sentry_client)
# Transfer manager client
if self.config.get_bool('enable_beta_job_managers', False):
from galaxy.jobs import transfer_manager
self.transfer_manager = transfer_manager.TransferManager(self)
# Start the job manager
from galaxy.jobs import manager
self.job_manager = manager.JobManager(self)
self.application_stack.register_postfork_function(
self.job_manager.start)
self.proxy_manager = ProxyManager(self.config)
from galaxy.workflow import scheduling_manager
# Must be initialized after job_config.
self.workflow_scheduling_manager = scheduling_manager.WorkflowSchedulingManager(
self)
# Must be initialized after any component that might make use of stack messaging is configured. Alternatively if
# it becomes more commonly needed we could create a prefork function registration method like we do with
# postfork functions.
self.application_stack.init_late_prefork()
self.containers = {}
if self.config.enable_beta_containers_interface:
self.containers = build_container_interfaces(
self.config.containers_config_file,
containers_conf=self.config.containers_conf)
# Configure handling of signals
handlers = {}
if self.heartbeat:
handlers[signal.SIGUSR1] = self.heartbeat.dump_signal_handler
self._configure_signal_handlers(handlers)
self.database_heartbeat = DatabaseHeartbeat(
application_stack=self.application_stack)
self.application_stack.register_postfork_function(
self.database_heartbeat.start)
# Start web stack message handling
self.application_stack.register_postfork_function(
self.application_stack.start)
self.model.engine.dispose()
# Inject url_for for components to more easily optionally depend
# on url_for.
self.url_for = url_for
self.server_starttime = int(time.time()) # used for cachebusting
log.info("Galaxy app startup finished %s" % self.startup_timer)
def __init__(self, **kwargs):
print >> sys.stderr, "python path is: " + ", ".join(sys.path)
self.name = 'galaxy'
self.new_installation = False
# Read config file and check for errors
self.config = config.Configuration(**kwargs)
self.config.check()
config.configure_logging(self.config)
self.configure_fluent_log()
self._amqp_internal_connection_obj = galaxy.queues.connection_from_config(
self.config)
self._configure_tool_shed_registry()
self._configure_object_store(fsmon=True)
# Setup the database engine and ORM
config_file = kwargs.get('global_conf', {}).get('__file__', None)
if config_file:
log.debug('Using "galaxy.ini" config file: %s', config_file)
check_migrate_tools = self.config.check_migrate_tools
self._configure_models(check_migrate_databases=True,
check_migrate_tools=check_migrate_tools,
config_file=config_file)
# Manage installed tool shed repositories.
from tool_shed.galaxy_install import installed_repository_manager
self.installed_repository_manager = installed_repository_manager.InstalledRepositoryManager(
self)
self._configure_datatypes_registry(self.installed_repository_manager)
galaxy.model.set_datatypes_registry(self.datatypes_registry)
# Security helper
self._configure_security()
# Tag handler
self.tag_handler = GalaxyTagManager(self)
# Dataset Collection Plugins
self.dataset_collections_service = DatasetCollectionManager(self)
# Tool Data Tables
self._configure_tool_data_tables(from_shed_config=False)
# Load dbkey / genome build manager
self._configure_genome_builds(data_table_name="__dbkeys__",
load_old_style=True)
# Genomes
self.genomes = Genomes(self)
# Data providers registry.
self.data_provider_registry = DataProviderRegistry()
# Initialize job metrics manager, needs to be in place before
# config so per-destination modifications can be made.
self.job_metrics = job_metrics.JobMetrics(
self.config.job_metrics_config_file, app=self)
# Initialize the job management configuration
self.job_config = jobs.JobConfiguration(self)
self._configure_toolbox()
# Load Data Manager
self.data_managers = DataManagers(self)
# Load the update repository manager.
self.update_repository_manager = update_repository_manager.UpdateRepositoryManager(
self)
# Load proprietary datatype converters and display applications.
self.installed_repository_manager.load_proprietary_converters_and_display_applications(
)
# Load datatype display applications defined in local datatypes_conf.xml
self.datatypes_registry.load_display_applications(self)
# Load datatype converters defined in local datatypes_conf.xml
self.datatypes_registry.load_datatype_converters(self.toolbox)
# Load external metadata tool
self.datatypes_registry.load_external_metadata_tool(self.toolbox)
# Load history import/export tools.
load_history_imp_exp_tools(self.toolbox)
# visualizations registry: associates resources with visualizations, controls how to render
self.visualizations_registry = VisualizationsRegistry(
self,
directories_setting=self.config.visualization_plugins_directory,
template_cache_dir=self.config.template_cache)
# Load security policy.
self.security_agent = self.model.security_agent
self.host_security_agent = galaxy.security.HostAgent(
model=self.security_agent.model,
permitted_actions=self.security_agent.permitted_actions)
# Load quota management.
if self.config.enable_quotas:
self.quota_agent = galaxy.quota.QuotaAgent(self.model)
else:
self.quota_agent = galaxy.quota.NoQuotaAgent(self.model)
# Heartbeat for thread profiling
self.heartbeat = None
# Container for OpenID authentication routines
if self.config.enable_openid:
from galaxy.web.framework import openid_manager
self.openid_manager = openid_manager.OpenIDManager(
self.config.openid_consumer_cache_path)
self.openid_providers = OpenIDProviders.from_file(
self.config.openid_config_file)
else:
self.openid_providers = OpenIDProviders()
# Start the heartbeat process if configured and available
if self.config.use_heartbeat:
from galaxy.util import heartbeat
if heartbeat.Heartbeat:
self.heartbeat = heartbeat.Heartbeat(
fname=self.config.heartbeat_log)
self.heartbeat.daemon = True
self.heartbeat.start()
# Transfer manager client
if self.config.get_bool('enable_beta_job_managers', False):
from galaxy.jobs import transfer_manager
self.transfer_manager = transfer_manager.TransferManager(self)
# Start the job manager
from galaxy.jobs import manager
self.job_manager = manager.JobManager(self)
self.job_manager.start()
# FIXME: These are exposed directly for backward compatibility
self.job_queue = self.job_manager.job_queue
self.job_stop_queue = self.job_manager.job_stop_queue
self.proxy_manager = ProxyManager(self.config)
# Initialize the external service types
self.external_service_types = external_service_types.ExternalServiceTypesCollection(
self.config.external_service_type_config_file,
self.config.external_service_type_path, self)
from galaxy.workflow import scheduling_manager
# Must be initialized after job_config.
self.workflow_scheduling_manager = scheduling_manager.WorkflowSchedulingManager(
self)
self.model.engine.dispose()
self.server_starttime = int(time.time()) # used for cachebusting
def set_up_managers(self):
super(DatasetCollectionManagerTestCase, self).set_up_managers()
self.dataset_manager = DatasetManager(self.app)
self.hda_manager = HDAManager(self.app)
self.history_manager = HistoryManager(self.app)
self.collection_manager = DatasetCollectionManager(self.app)
class DatasetCollectionManagerTestCase(BaseTestCase, CreatesCollectionsMixin):
def set_up_managers(self):
super(DatasetCollectionManagerTestCase, self).set_up_managers()
self.dataset_manager = DatasetManager(self.app)
self.hda_manager = HDAManager(self.app)
self.history_manager = HistoryManager(self.app)
self.collection_manager = DatasetCollectionManager(self.app)
def test_create_simple_list(self):
owner = self.user_manager.create(**user2_data)
history = self.history_manager.create(name='history1', user=owner)
hda1 = self.hda_manager.create(name='one',
history=history,
dataset=self.dataset_manager.create())
hda2 = self.hda_manager.create(name='two',
history=history,
dataset=self.dataset_manager.create())
hda3 = self.hda_manager.create(name='three',
history=history,
dataset=self.dataset_manager.create())
self.log("should be able to create a new Collection via ids")
element_identifiers = self.build_element_identifiers(
[hda1, hda2, hda3])
hdca = self.collection_manager.create(
self.trans,
history,
'test collection',
'list',
element_identifiers=element_identifiers)
self.assertIsInstance(hdca, model.HistoryDatasetCollectionAssociation)
self.assertEqual(hdca.name, 'test collection')
self.assertEqual(hdca.hid, 4)
self.assertFalse(hdca.deleted)
self.assertTrue(hdca.visible)
# print 'hdca dir:'
# for k in dir( hdca ):
# print k, getattr( hdca, k, '(?)' )
self.log("should contain an underlying, well-formed DatasetCollection")
self.assertIsInstance(hdca.collection, model.DatasetCollection)
collection = hdca.collection
self.assertEqual(collection.collection_type, 'list')
self.assertEqual(collection.state, 'ok')
self.assertEqual(len(collection.dataset_instances), 3)
self.assertEqual(len(collection.elements), 3)
# print 'hdca.collection dir:'
# for k in dir( hdca.collection ):
# print k, getattr( hdca.collection, k, '(?)' )
# elements = collection.elements
# print 'hdca.collection element dir:'
# for k in dir( elements[0] ):
# print k, getattr( elements[0], k, '(?)' )
self.log("and that collection should have three well-formed Elements")
self.assertIsInstance(collection.elements[0],
model.DatasetCollectionElement)
self.assertEqual(collection.elements[0].element_identifier, 'one')
self.assertEqual(collection.elements[0].element_index, 0)
self.assertEqual(collection.elements[0].element_type, 'hda')
self.assertEqual(collection.elements[0].element_object, hda1)
self.assertIsInstance(collection.elements[1],
model.DatasetCollectionElement)
self.assertEqual(collection.elements[1].element_identifier, 'two')
self.assertEqual(collection.elements[1].element_index, 1)
self.assertEqual(collection.elements[1].element_type, 'hda')
self.assertEqual(collection.elements[1].element_object, hda2)
self.assertIsInstance(collection.elements[2],
model.DatasetCollectionElement)
self.assertEqual(collection.elements[2].element_identifier, 'three')
self.assertEqual(collection.elements[2].element_index, 2)
self.assertEqual(collection.elements[2].element_type, 'hda')
self.assertEqual(collection.elements[2].element_object, hda3)
self.log("should be able to create a new Collection via objects")
elements = dict(one=hda1, two=hda2, three=hda3)
hdca2 = self.collection_manager.create(self.trans,
history,
'test collection 2',
'list',
elements=elements)
self.assertIsInstance(hdca2, model.HistoryDatasetCollectionAssociation)
def test_update_from_dict(self):
owner = self.user_manager.create(**user2_data)
history = self.history_manager.create(name='history1', user=owner)
hda1 = self.hda_manager.create(name='one',
history=history,
dataset=self.dataset_manager.create())
hda2 = self.hda_manager.create(name='two',
history=history,
dataset=self.dataset_manager.create())
hda3 = self.hda_manager.create(name='three',
history=history,
dataset=self.dataset_manager.create())
elements = dict(one=hda1, two=hda2, three=hda3)
hdca = self.collection_manager.create(self.trans,
history,
'test collection',
'list',
elements=elements)
self.log("should be set from a dictionary")
self.collection_manager._set_from_dict(
self.trans,
hdca,
{
'deleted': True,
'visible': False,
'name': 'New Name',
# TODO: doesn't work
# 'tags' : [ 'one', 'two', 'three' ]
# 'annotations' : [?]
})
self.assertEqual(hdca.name, 'New Name')
self.assertTrue(hdca.deleted)
self.assertFalse(hdca.visible)
def set_up_managers( self ):
super( DatasetCollectionManagerTestCase, self ).set_up_managers()
self.dataset_manager = DatasetManager( self.app )
self.hda_manager = HDAManager( self.app )
self.history_manager = HistoryManager( self.app )
self.collection_manager = DatasetCollectionManager( self.app )
class DatasetCollectionManagerTestCase( BaseTestCase ):
def set_up_managers( self ):
super( DatasetCollectionManagerTestCase, self ).set_up_managers()
self.dataset_manager = DatasetManager( self.app )
self.hda_manager = HDAManager( self.app )
self.history_manager = HistoryManager( self.app )
self.collection_manager = DatasetCollectionManager( self.app )
def build_element_identifiers( self, elements ):
identifier_list = []
for element in elements:
src = 'hda'
# if isinstance( element, model.DatasetCollection ):
# src = 'collection'#?
# elif isinstance( element, model.LibraryDatasetDatasetAssociation ):
# src = 'ldda'#?
encoded_id = self.trans.security.encode_id( element.id )
identifier_list.append( dict( src=src, name=element.name, id=encoded_id ) )
return identifier_list
def test_create_simple_list( self ):
owner = self.user_manager.create( **user2_data )
history = self.history_manager.create( name='history1', user=owner )
hda1 = self.hda_manager.create( name='one',
history=history, dataset=self.dataset_manager.create() )
hda2 = self.hda_manager.create( name='two',
history=history, dataset=self.dataset_manager.create() )
hda3 = self.hda_manager.create( name='three',
history=history, dataset=self.dataset_manager.create() )
self.log( "should be able to create a new Collection via ids" )
element_identifiers = self.build_element_identifiers( [ hda1, hda2, hda3 ] )
hdca = self.collection_manager.create( self.trans, history, 'test collection', 'list',
element_identifiers=element_identifiers )
self.assertIsInstance( hdca, model.HistoryDatasetCollectionAssociation )
self.assertEqual( hdca.name, 'test collection' )
self.assertEqual( hdca.hid, 4 )
self.assertFalse( hdca.deleted )
self.assertTrue( hdca.visible )
# print 'hdca dir:'
# for k in dir( hdca ):
# print k, getattr( hdca, k, '(?)' )
self.log( "should contain an underlying, well-formed DatasetCollection" )
self.assertIsInstance( hdca.collection, model.DatasetCollection )
collection = hdca.collection
self.assertEqual( collection.collection_type, 'list' )
self.assertEqual( collection.state, 'ok' )
self.assertEqual( len( collection.dataset_instances ), 3 )
self.assertEqual( len( collection.elements ), 3 )
# print 'hdca.collection dir:'
# for k in dir( hdca.collection ):
# print k, getattr( hdca.collection, k, '(?)' )
# elements = collection.elements
# print 'hdca.collection element dir:'
# for k in dir( elements[0] ):
# print k, getattr( elements[0], k, '(?)' )
self.log( "and that collection should have three well-formed Elements" )
self.assertIsInstance( collection.elements[0], model.DatasetCollectionElement )
self.assertEqual( collection.elements[0].element_identifier, 'one' )
self.assertEqual( collection.elements[0].element_index, 0 )
self.assertEqual( collection.elements[0].element_type, 'hda' )
self.assertEqual( collection.elements[0].element_object, hda1 )
self.assertIsInstance( collection.elements[1], model.DatasetCollectionElement )
self.assertEqual( collection.elements[1].element_identifier, 'two' )
self.assertEqual( collection.elements[1].element_index, 1 )
self.assertEqual( collection.elements[1].element_type, 'hda' )
self.assertEqual( collection.elements[1].element_object, hda2 )
self.assertIsInstance( collection.elements[2], model.DatasetCollectionElement )
self.assertEqual( collection.elements[2].element_identifier, 'three' )
self.assertEqual( collection.elements[2].element_index, 2 )
self.assertEqual( collection.elements[2].element_type, 'hda' )
self.assertEqual( collection.elements[2].element_object, hda3 )
self.log( "should be able to create a new Collection via objects" )
elements = dict( one=hda1, two=hda2, three=hda3 )
hdca2 = self.collection_manager.create( self.trans, history, 'test collection 2', 'list', elements=elements )
self.assertIsInstance( hdca2, model.HistoryDatasetCollectionAssociation )
def test_update_from_dict( self ):
owner = self.user_manager.create( **user2_data )
history = self.history_manager.create( name='history1', user=owner )
hda1 = self.hda_manager.create( name='one',
history=history, dataset=self.dataset_manager.create() )
hda2 = self.hda_manager.create( name='two',
history=history, dataset=self.dataset_manager.create() )
hda3 = self.hda_manager.create( name='three',
history=history, dataset=self.dataset_manager.create() )
elements = dict( one=hda1, two=hda2, three=hda3 )
hdca = self.collection_manager.create( self.trans, history, 'test collection', 'list', elements=elements )
self.log( "should be set from a dictionary" )
self.collection_manager._set_from_dict( self.trans, hdca, {
'deleted' : True,
'visible' : False,
'name' : 'New Name',
# TODO: doesn't work
# 'tags' : [ 'one', 'two', 'three' ]
# 'annotations' : [?]
})
self.assertEqual( hdca.name, 'New Name' )
self.assertTrue( hdca.deleted )
self.assertFalse( hdca.visible )
def __init__( self, **kwargs ):
if not log.handlers:
# Paste didn't handle it, so we need a temporary basic log
# configured. The handler added here gets dumped and replaced with
# an appropriately configured logger in configure_logging below.
logging.basicConfig(level=logging.DEBUG)
log.debug( "python path is: %s", ", ".join( sys.path ) )
self.name = 'galaxy'
self.new_installation = False
# Read config file and check for errors
self.config = config.Configuration( **kwargs )
self.config.check()
config.configure_logging( self.config )
self.configure_fluent_log()
self.config.reload_sanitize_whitelist(explicit='sanitize_whitelist_file' in kwargs)
self.amqp_internal_connection_obj = galaxy.queues.connection_from_config(self.config)
# control_worker *can* be initialized with a queue, but here we don't
# want to and we'll allow postfork to bind and start it.
self.control_worker = GalaxyQueueWorker(self)
self._configure_tool_shed_registry()
self._configure_object_store( fsmon=True )
# Setup the database engine and ORM
config_file = kwargs.get( 'global_conf', {} ).get( '__file__', None )
if config_file:
log.debug( 'Using "galaxy.ini" config file: %s', config_file )
check_migrate_tools = self.config.check_migrate_tools
self._configure_models( check_migrate_databases=True, check_migrate_tools=check_migrate_tools, config_file=config_file )
# Manage installed tool shed repositories.
from tool_shed.galaxy_install import installed_repository_manager
self.installed_repository_manager = installed_repository_manager.InstalledRepositoryManager( self )
self._configure_datatypes_registry( self.installed_repository_manager )
galaxy.model.set_datatypes_registry( self.datatypes_registry )
# Security helper
self._configure_security()
# Tag handler
self.tag_handler = GalaxyTagManager( self )
# Dataset Collection Plugins
self.dataset_collections_service = DatasetCollectionManager(self)
# Tool Data Tables
self._configure_tool_data_tables( from_shed_config=False )
# Load dbkey / genome build manager
self._configure_genome_builds( data_table_name="__dbkeys__", load_old_style=True )
# Genomes
self.genomes = Genomes( self )
# Data providers registry.
self.data_provider_registry = DataProviderRegistry()
# Initialize job metrics manager, needs to be in place before
# config so per-destination modifications can be made.
self.job_metrics = job_metrics.JobMetrics( self.config.job_metrics_config_file, app=self )
# Initialize the job management configuration
self.job_config = jobs.JobConfiguration(self)
self._configure_toolbox()
# Load Data Manager
self.data_managers = DataManagers( self )
# Load the update repository manager.
self.update_repository_manager = update_repository_manager.UpdateRepositoryManager( self )
# Load proprietary datatype converters and display applications.
self.installed_repository_manager.load_proprietary_converters_and_display_applications()
# Load datatype display applications defined in local datatypes_conf.xml
self.datatypes_registry.load_display_applications( self )
# Load datatype converters defined in local datatypes_conf.xml
self.datatypes_registry.load_datatype_converters( self.toolbox )
# Load external metadata tool
self.datatypes_registry.load_external_metadata_tool( self.toolbox )
# Load history import/export tools.
load_lib_tools( self.toolbox )
# visualizations registry: associates resources with visualizations, controls how to render
self.visualizations_registry = VisualizationsRegistry(
self,
directories_setting=self.config.visualization_plugins_directory,
template_cache_dir=self.config.template_cache )
# Tours registry
self.tour_registry = ToursRegistry(self.config.tour_config_dir)
# Load security policy.
self.security_agent = self.model.security_agent
self.host_security_agent = galaxy.security.HostAgent(
model=self.security_agent.model,
permitted_actions=self.security_agent.permitted_actions )
# Load quota management.
if self.config.enable_quotas:
self.quota_agent = galaxy.quota.QuotaAgent( self.model )
else:
self.quota_agent = galaxy.quota.NoQuotaAgent( self.model )
# Heartbeat for thread profiling
self.heartbeat = None
# Container for OpenID authentication routines
if self.config.enable_openid:
from galaxy.web.framework import openid_manager
self.openid_manager = openid_manager.OpenIDManager( self.config.openid_consumer_cache_path )
self.openid_providers = OpenIDProviders.from_file( self.config.openid_config_file )
else:
self.openid_providers = OpenIDProviders()
from galaxy import auth
self.auth_manager = auth.AuthManager( self )
# Start the heartbeat process if configured and available (wait until
# postfork if using uWSGI)
if self.config.use_heartbeat:
if heartbeat.Heartbeat:
self.heartbeat = heartbeat.Heartbeat(
self.config,
period=self.config.heartbeat_interval,
fname=self.config.heartbeat_log
)
self.heartbeat.daemon = True
@postfork
def _start():
self.heartbeat.start()
if not config.process_is_uwsgi:
_start()
if self.config.sentry_dsn:
import raven
self.sentry_client = raven.Client(self.config.sentry_dsn)
else:
self.sentry_client = None
# Transfer manager client
if self.config.get_bool( 'enable_beta_job_managers', False ):
from galaxy.jobs import transfer_manager
self.transfer_manager = transfer_manager.TransferManager( self )
# Start the job manager
from galaxy.jobs import manager
self.job_manager = manager.JobManager( self )
self.job_manager.start()
# FIXME: These are exposed directly for backward compatibility
self.job_queue = self.job_manager.job_queue
self.job_stop_queue = self.job_manager.job_stop_queue
self.proxy_manager = ProxyManager( self.config )
# Initialize the external service types
self.external_service_types = external_service_types.ExternalServiceTypesCollection(
self.config.external_service_type_config_file,
self.config.external_service_type_path, self )
from galaxy.workflow import scheduling_manager
# Must be initialized after job_config.
self.workflow_scheduling_manager = scheduling_manager.WorkflowSchedulingManager( self )
# Configure handling of signals
handlers = {}
if self.heartbeat:
handlers[signal.SIGUSR1] = self.heartbeat.dump_signal_handler
self._configure_signal_handlers( handlers )
self.model.engine.dispose()
self.server_starttime = int(time.time()) # used for cachebusting
def _remap(container, line):
id_match = re.search(ID_PATTERN, line)
object_id = None
encoded_id = None
if id_match:
object_id = int(id_match.group(2))
encoded_id = trans.security.encode_id(object_id)
line = line.replace(id_match.group(),
"%s=%s" % (id_match.group(1), encoded_id))
def ensure_rendering_data_for(object_type, encoded_id):
if object_type not in extra_rendering_data:
extra_rendering_data[object_type] = {}
object_type_data = extra_rendering_data[object_type]
if encoded_id not in object_type_data:
object_type_data[encoded_id] = {}
return object_type_data[encoded_id]
def extend_history_dataset_rendering_data(key, val, default_val):
ensure_rendering_data_for("history_datasets",
encoded_id)[key] = val or default_val
if container == "history_dataset_display":
assert object_id is not None
hda = hdas_manager.get_accessible(object_id, trans.user)
if "history_datasets" not in extra_rendering_data:
extra_rendering_data["history_datasets"] = {}
extend_history_dataset_rendering_data("name", hda.name, "")
elif container == "history_dataset_peek":
assert object_id is not None
hda = hdas_manager.get_accessible(object_id, trans.user)
peek = hda.peek
extend_history_dataset_rendering_data(
"peek", peek, "*No Dataset Peek Available*")
elif container == "history_dataset_info":
hda = hdas_manager.get_accessible(object_id, trans.user)
info = hda.info
extend_history_dataset_rendering_data(
"info", info, "*No Dataset Peek Available*")
elif container == "workflow_display":
# TODO: should be workflow id...
stored_workflow = workflows_manager.get_stored_accessible_workflow(
trans, encoded_id)
ensure_rendering_data_for(
"workflows", encoded_id)["name"] = stored_workflow.name
elif container == "history_dataset_collection_display":
collection_manager = DatasetCollectionManager(trans.app)
hdca = collection_manager.get_dataset_collection_instance(
trans, "history", encoded_id)
hdca_serializer = HDCASerializer(trans.app)
hdca_view = hdca_serializer.serialize_to_view(hdca,
user=trans.user,
trans=trans,
view="summary")
if "history_dataset_collections" not in extra_rendering_data:
extra_rendering_data["history_dataset_collections"] = {}
ensure_rendering_data_for("history_dataset_collections",
encoded_id).update(hdca_view)
elif container == "tool_stdout":
job_manager = JobManager(trans.app)
job = job_manager.get_accessible_job(trans, object_id)
ensure_rendering_data_for(
"jobs", encoded_id
)["tool_stdout"] = job.tool_stdout or "*No Standard Output Available*"
elif container == "tool_stderr":
job_manager = JobManager(trans.app)
job = job_manager.get_accessible_job(trans, object_id)
ensure_rendering_data_for(
"jobs", encoded_id
)["tool_stderr"] = job.tool_stderr or "*No Standard Error Available*"
return (line, False)
class DatasetCollectionManagerTestCase(BaseTestCase, CreatesCollectionsMixin):
def set_up_managers(self):
super(DatasetCollectionManagerTestCase, self).set_up_managers()
self.dataset_manager = DatasetManager(self.app)
self.hda_manager = HDAManager(self.app)
self.history_manager = HistoryManager(self.app)
self.collection_manager = DatasetCollectionManager(self.app)
def test_create_simple_list(self):
owner = self.user_manager.create(**user2_data)
history = self.history_manager.create(name='history1', user=owner)
hda1 = self.hda_manager.create(name='one',
history=history, dataset=self.dataset_manager.create())
hda2 = self.hda_manager.create(name='two',
history=history, dataset=self.dataset_manager.create())
hda3 = self.hda_manager.create(name='three',
history=history, dataset=self.dataset_manager.create())
self.log("should be able to create a new Collection via ids")
element_identifiers = self.build_element_identifiers([hda1, hda2, hda3])
hdca = self.collection_manager.create(self.trans, history, 'test collection', 'list',
element_identifiers=element_identifiers)
self.assertIsInstance(hdca, model.HistoryDatasetCollectionAssociation)
self.assertEqual(hdca.name, 'test collection')
self.assertEqual(hdca.hid, 4)
self.assertFalse(hdca.deleted)
self.assertTrue(hdca.visible)
self.log("should contain an underlying, well-formed DatasetCollection")
self.assertIsInstance(hdca.collection, model.DatasetCollection)
collection = hdca.collection
self.assertEqual(collection.collection_type, 'list')
self.assertEqual(collection.state, 'ok')
self.assertEqual(len(collection.dataset_instances), 3)
self.assertEqual(len(collection.elements), 3)
self.log("and that collection should have three well-formed Elements")
self.assertIsInstance(collection.elements[0], model.DatasetCollectionElement)
self.assertEqual(collection.elements[0].element_identifier, 'one')
self.assertEqual(collection.elements[0].element_index, 0)
self.assertEqual(collection.elements[0].element_type, 'hda')
self.assertEqual(collection.elements[0].element_object, hda1)
self.assertIsInstance(collection.elements[1], model.DatasetCollectionElement)
self.assertEqual(collection.elements[1].element_identifier, 'two')
self.assertEqual(collection.elements[1].element_index, 1)
self.assertEqual(collection.elements[1].element_type, 'hda')
self.assertEqual(collection.elements[1].element_object, hda2)
self.assertIsInstance(collection.elements[2], model.DatasetCollectionElement)
self.assertEqual(collection.elements[2].element_identifier, 'three')
self.assertEqual(collection.elements[2].element_index, 2)
self.assertEqual(collection.elements[2].element_type, 'hda')
self.assertEqual(collection.elements[2].element_object, hda3)
self.log("should be able to create a new Collection via objects")
elements = dict(one=hda1, two=hda2, three=hda3)
hdca2 = self.collection_manager.create(self.trans, history, 'test collection 2', 'list', elements=elements)
self.assertIsInstance(hdca2, model.HistoryDatasetCollectionAssociation)
def test_update_from_dict(self):
owner = self.user_manager.create(**user2_data)
history = self.history_manager.create(name='history1', user=owner)
hda1 = self.hda_manager.create(name='one',
history=history, dataset=self.dataset_manager.create())
hda2 = self.hda_manager.create(name='two',
history=history, dataset=self.dataset_manager.create())
hda3 = self.hda_manager.create(name='three',
history=history, dataset=self.dataset_manager.create())
elements = dict(one=hda1, two=hda2, three=hda3)
hdca = self.collection_manager.create(self.trans, history, 'test collection', 'list', elements=elements)
self.log("should be set from a dictionary")
self.collection_manager._set_from_dict(self.trans, hdca, {
'deleted': True,
'visible': False,
'name': 'New Name',
# TODO: doesn't work
# 'tags' : [ 'one', 'two', 'three' ]
# 'annotations' : [?]
})
self.assertEqual(hdca.name, 'New Name')
self.assertTrue(hdca.deleted)
self.assertFalse(hdca.visible)
