Files
galaxy/lib/tool_shed/util/metadata_util.py
T

2159 lines
140 KiB
Python

import logging
import os
import tempfile
from galaxy import eggs
from galaxy import util
from galaxy import web
from galaxy.datatypes import checkers
from galaxy.model.orm import and_
from galaxy.tools.data_manager.manager import DataManager
from galaxy.util import inflector
from galaxy.util import json
from galaxy.web import url_for
import tool_shed.util.shed_util_common as suc
from tool_shed.repository_types.metadata import TipOnly
from tool_shed.util import common_util
from tool_shed.util import common_install_util
from tool_shed.util import container_util
from tool_shed.util import hg_util
from tool_shed.util import readme_util
from tool_shed.util import tool_dependency_util
from tool_shed.util import tool_util
from tool_shed.util import xml_util
from tool_shed.galaxy_install.tool_dependencies import install_util
from tool_shed.galaxy_install.tool_dependencies import td_common_util
import tool_shed.repository_types.util as rt_util
eggs.require( 'mercurial' )
from mercurial import commands
from mercurial import hg
from mercurial import ui
log = logging.getLogger( __name__ )
# Repository metadata comparisons for changeset revisions.
EQUAL = 'equal'
NO_METADATA = 'no metadata'
NOT_EQUAL_AND_NOT_SUBSET = 'not equal and not subset'
SUBSET = 'subset'
SUBSET_VALUES = [ EQUAL, SUBSET ]
NOT_TOOL_CONFIGS = [ suc.DATATYPES_CONFIG_FILENAME,
suc.REPOSITORY_DEPENDENCY_DEFINITION_FILENAME,
suc.TOOL_DEPENDENCY_DEFINITION_FILENAME,
suc.REPOSITORY_DATA_MANAGER_CONFIG_FILENAME ]
def add_tool_versions( trans, id, repository_metadata, changeset_revisions ):
# Build a dictionary of { 'tool id' : 'parent tool id' } pairs for each tool in repository_metadata.
metadata = repository_metadata.metadata
tool_versions_dict = {}
for tool_dict in metadata.get( 'tools', [] ):
# We have at least 2 changeset revisions to compare tool guids and tool ids.
parent_id = get_parent_id( trans, id, tool_dict[ 'id' ], tool_dict[ 'version' ], tool_dict[ 'guid' ], changeset_revisions )
tool_versions_dict[ tool_dict[ 'guid' ] ] = parent_id
if tool_versions_dict:
repository_metadata.tool_versions = tool_versions_dict
trans.sa_session.add( repository_metadata )
trans.sa_session.flush()
def clean_repository_metadata( trans, id, changeset_revisions ):
# Delete all repository_metadata records associated with the repository that have a changeset_revision that is not in changeset_revisions.
# We sometimes see multiple records with the same changeset revision value - no idea how this happens. We'll assume we can delete the older
# records, so we'll order by update_time descending and delete records that have the same changeset_revision we come across later..
changeset_revisions_checked = []
for repository_metadata in trans.sa_session.query( trans.model.RepositoryMetadata ) \
.filter( trans.model.RepositoryMetadata.table.c.repository_id == trans.security.decode_id( id ) ) \
.order_by( trans.model.RepositoryMetadata.table.c.changeset_revision,
trans.model.RepositoryMetadata.table.c.update_time.desc() ):
changeset_revision = repository_metadata.changeset_revision
if changeset_revision in changeset_revisions_checked or changeset_revision not in changeset_revisions:
trans.sa_session.delete( repository_metadata )
trans.sa_session.flush()
def compare_changeset_revisions( trans, ancestor_changeset_revision, ancestor_metadata_dict, current_changeset_revision, current_metadata_dict ):
"""Compare the contents of two changeset revisions to determine if a new repository metadata revision should be created."""
# The metadata associated with ancestor_changeset_revision is ancestor_metadata_dict. This changeset_revision is an ancestor of
# current_changeset_revision which is associated with current_metadata_dict. A new repository_metadata record will be created only
# when this method returns the constant value NOT_EQUAL_AND_NOT_SUBSET.
ancestor_datatypes = ancestor_metadata_dict.get( 'datatypes', [] )
ancestor_tools = ancestor_metadata_dict.get( 'tools', [] )
ancestor_guids = [ tool_dict[ 'guid' ] for tool_dict in ancestor_tools ]
ancestor_guids.sort()
ancestor_readme_files = ancestor_metadata_dict.get( 'readme_files', [] )
ancestor_repository_dependencies_dict = ancestor_metadata_dict.get( 'repository_dependencies', {} )
ancestor_repository_dependencies = ancestor_repository_dependencies_dict.get( 'repository_dependencies', [] )
ancestor_tool_dependencies = ancestor_metadata_dict.get( 'tool_dependencies', {} )
ancestor_workflows = ancestor_metadata_dict.get( 'workflows', [] )
ancestor_data_manager = ancestor_metadata_dict.get( 'data_manager', {} )
current_datatypes = current_metadata_dict.get( 'datatypes', [] )
current_tools = current_metadata_dict.get( 'tools', [] )
current_guids = [ tool_dict[ 'guid' ] for tool_dict in current_tools ]
current_guids.sort()
current_readme_files = current_metadata_dict.get( 'readme_files', [] )
current_repository_dependencies_dict = current_metadata_dict.get( 'repository_dependencies', {} )
current_repository_dependencies = current_repository_dependencies_dict.get( 'repository_dependencies', [] )
current_tool_dependencies = current_metadata_dict.get( 'tool_dependencies', {} )
current_workflows = current_metadata_dict.get( 'workflows', [] )
current_data_manager = current_metadata_dict.get( 'data_manager', {} )
# Handle case where no metadata exists for either changeset.
no_datatypes = not ancestor_datatypes and not current_datatypes
no_readme_files = not ancestor_readme_files and not current_readme_files
no_repository_dependencies = not ancestor_repository_dependencies and not current_repository_dependencies
no_tool_dependencies = not ancestor_tool_dependencies and not current_tool_dependencies
no_tools = not ancestor_guids and not current_guids
no_workflows = not ancestor_workflows and not current_workflows
no_data_manager = not ancestor_data_manager and not current_data_manager
if no_datatypes and no_readme_files and no_repository_dependencies and no_tool_dependencies and no_tools and no_workflows and no_data_manager:
return NO_METADATA
# Uncomment the following if we decide that README files should affect how installable repository revisions are defined. See the NOTE in the
# compare_readme_files() method.
# readme_file_comparision = compare_readme_files( ancestor_readme_files, current_readme_files )
repository_dependency_comparison = compare_repository_dependencies( trans, ancestor_repository_dependencies, current_repository_dependencies )
tool_dependency_comparison = compare_tool_dependencies( trans, ancestor_tool_dependencies, current_tool_dependencies )
workflow_comparison = compare_workflows( trans, ancestor_workflows, current_workflows )
datatype_comparison = compare_datatypes( trans, ancestor_datatypes, current_datatypes )
data_manager_comparison = compare_data_manager( trans, ancestor_data_manager, current_data_manager )
# Handle case where all metadata is the same.
if ancestor_guids == current_guids and \
repository_dependency_comparison == EQUAL and \
tool_dependency_comparison == EQUAL and \
workflow_comparison == EQUAL and \
datatype_comparison == EQUAL and \
data_manager_comparison == EQUAL:
return EQUAL
# Handle case where ancestor metadata is a subset of current metadata.
# readme_file_is_subset = readme_file_comparision in [ EQUAL, SUBSET ]
repository_dependency_is_subset = repository_dependency_comparison in SUBSET_VALUES
tool_dependency_is_subset = tool_dependency_comparison in SUBSET_VALUES
workflow_dependency_is_subset = workflow_comparison in SUBSET_VALUES
datatype_is_subset = datatype_comparison in SUBSET_VALUES
datamanager_is_subset = data_manager_comparison in SUBSET_VALUES
if repository_dependency_is_subset and tool_dependency_is_subset and workflow_dependency_is_subset and datatype_is_subset and datamanager_is_subset:
is_subset = True
for guid in ancestor_guids:
if guid not in current_guids:
is_subset = False
break
if is_subset:
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def compare_data_manager( trans, ancestor_metadata, current_metadata ):
"""Determine if ancestor_metadata is the same as or a subset of current_metadata for data_managers."""
def __data_manager_dict_to_tuple_list( metadata_dict ):
# we do not check tool_guid or tool conf file name
return set( sorted( [ ( name, tuple( sorted( value.get( 'data_tables', [] ) ) ), value.get( 'guid' ), value.get( 'version' ), value.get( 'name' ), value.get( 'id' ) ) for name, value in metadata_dict.iteritems() ] ) )
# only compare valid entries, any invalid entries are ignored
ancestor_metadata = __data_manager_dict_to_tuple_list( ancestor_metadata.get( 'data_managers', {} ) )
current_metadata = __data_manager_dict_to_tuple_list( current_metadata.get( 'data_managers', {} ) )
# use set comparisons
if ancestor_metadata.issubset( current_metadata ):
if ancestor_metadata == current_metadata:
return EQUAL
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def compare_datatypes( trans, ancestor_datatypes, current_datatypes ):
"""Determine if ancestor_datatypes is the same as or a subset of current_datatypes."""
# Each datatype dict looks something like: {"dtype": "galaxy.datatypes.images:Image", "extension": "pdf", "mimetype": "application/pdf"}
if len( ancestor_datatypes ) <= len( current_datatypes ):
for ancestor_datatype in ancestor_datatypes:
# Currently the only way to differentiate datatypes is by name.
ancestor_datatype_dtype = ancestor_datatype[ 'dtype' ]
ancestor_datatype_extension = ancestor_datatype[ 'extension' ]
ancestor_datatype_mimetype = ancestor_datatype.get( 'mimetype', None )
found_in_current = False
for current_datatype in current_datatypes:
if current_datatype[ 'dtype' ] == ancestor_datatype_dtype and \
current_datatype[ 'extension' ] == ancestor_datatype_extension and \
current_datatype.get( 'mimetype', None ) == ancestor_datatype_mimetype:
found_in_current = True
break
if not found_in_current:
return NOT_EQUAL_AND_NOT_SUBSET
if len( ancestor_datatypes ) == len( current_datatypes ):
return EQUAL
else:
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def compare_readme_files( ancestor_readme_files, current_readme_files ):
"""Determine if ancestor_readme_files is equal to or a subset of current_readme_files."""
# NOTE: Although repository README files are considered a Galaxy utility similar to tools, repository dependency definition files, etc.,
# we don't define installable repository revisions based on changes to README files. To understand why, consider the following scenario:
# 1. Upload the filtering tool to a new repository - this will result in installable revision 0.
# 2. Upload a README file to the repository - this will move the installable revision from revision 0 to revision 1.
# 3. Delete the README file from the repository - this will move the installable revision from revision 1 to revision 2.
# The above scenario is the current behavior, and that is why this method is not currently called. This method exists only in case we decide
# to change this current behavior.
# The lists of readme files looks something like: ["database/community_files/000/repo_2/readme.txt"]
if len( ancestor_readme_files ) <= len( current_readme_files ):
for ancestor_readme_file in ancestor_readme_files:
if ancestor_readme_file not in current_readme_files:
return NOT_EQUAL_AND_NOT_SUBSET
if len( ancestor_readme_files ) == len( current_readme_files ):
return EQUAL
else:
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def compare_repository_dependencies( trans, ancestor_repository_dependencies, current_repository_dependencies ):
"""Determine if ancestor_repository_dependencies is the same as or a subset of current_repository_dependencies."""
# The list of repository_dependencies looks something like:
# [["http://localhost:9009", "emboss_datatypes", "test", "ab03a2a5f407", "False", "False"]].
# Create a string from each tuple in the list for easier comparison.
if len( ancestor_repository_dependencies ) <= len( current_repository_dependencies ):
for ancestor_tup in ancestor_repository_dependencies:
a_tool_shed, a_repo_name, a_repo_owner, a_changeset_revision, a_prior_installation_required, a_only_if_compiling_contained_td = \
ancestor_tup
cleaned_a_tool_shed = common_util.remove_protocol_from_tool_shed_url( a_tool_shed )
found_in_current = False
for current_tup in current_repository_dependencies:
c_tool_shed, c_repo_name, c_repo_owner, c_changeset_revision, c_prior_installation_required, c_only_if_compiling_contained_td = \
current_tup
cleaned_c_tool_shed = common_util.remove_protocol_from_tool_shed_url( c_tool_shed )
if cleaned_c_tool_shed == cleaned_a_tool_shed and \
c_repo_name == a_repo_name and \
c_repo_owner == a_repo_owner and \
c_changeset_revision == a_changeset_revision and \
util.string_as_bool( c_prior_installation_required ) == util.string_as_bool( a_prior_installation_required ) and \
util.string_as_bool( c_only_if_compiling_contained_td ) == util.string_as_bool( a_only_if_compiling_contained_td ):
found_in_current = True
break
if not found_in_current:
# In some cases, the only difference between a dependency definition in the lists is the changeset_revision value. We'll
# check to see if this is the case, and if the defined dependency is a repository that has metadata set only on it's tip.
if not different_revision_defines_tip_only_repository_dependency( trans, ancestor_tup, current_repository_dependencies ):
return NOT_EQUAL_AND_NOT_SUBSET
return SUBSET
if len( ancestor_repository_dependencies ) == len( current_repository_dependencies ):
return EQUAL
else:
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def compare_tool_dependencies( trans, ancestor_tool_dependencies, current_tool_dependencies ):
"""Determine if ancestor_tool_dependencies is the same as or a subset of current_tool_dependencies."""
# The tool_dependencies dictionary looks something like:
# {'bwa/0.5.9': {'readme': 'some string', 'version': '0.5.9', 'type': 'package', 'name': 'bwa'}}
if len( ancestor_tool_dependencies ) <= len( current_tool_dependencies ):
for ancestor_td_key, ancestor_requirements_dict in ancestor_tool_dependencies.items():
if ancestor_td_key in current_tool_dependencies:
# The only values that could have changed between the 2 dictionaries are the "readme" or "type" values. Changing the readme value
# makes no difference. Changing the type will change the installation process, but for now we'll assume it was a typo, so new metadata
# shouldn't be generated.
continue
else:
return NOT_EQUAL_AND_NOT_SUBSET
# At this point we know that ancestor_tool_dependencies is at least a subset of current_tool_dependencies.
if len( ancestor_tool_dependencies ) == len( current_tool_dependencies ):
return EQUAL
else:
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def compare_workflows( trans, ancestor_workflows, current_workflows ):
"""Determine if ancestor_workflows is the same as current_workflows or if ancestor_workflows is a subset of current_workflows."""
if len( ancestor_workflows ) <= len( current_workflows ):
for ancestor_workflow_tup in ancestor_workflows:
# ancestor_workflows is a list of tuples where each contained tuple is
# [ <relative path to the .ga file in the repository>, <exported workflow dict> ]
ancestor_workflow_dict = ancestor_workflow_tup[1]
# Currently the only way to differentiate workflows is by name.
ancestor_workflow_name = ancestor_workflow_dict[ 'name' ]
num_ancestor_workflow_steps = len( ancestor_workflow_dict[ 'steps' ] )
found_in_current = False
for current_workflow_tup in current_workflows:
current_workflow_dict = current_workflow_tup[1]
# Assume that if the name and number of steps are euqal, then the workflows are the same. Of course, this may not be true...
if current_workflow_dict[ 'name' ] == ancestor_workflow_name and len( current_workflow_dict[ 'steps' ] ) == num_ancestor_workflow_steps:
found_in_current = True
break
if not found_in_current:
return NOT_EQUAL_AND_NOT_SUBSET
if len( ancestor_workflows ) == len( current_workflows ):
return EQUAL
else:
return SUBSET
return NOT_EQUAL_AND_NOT_SUBSET
def create_or_update_repository_metadata( trans, id, repository, changeset_revision, metadata_dict ):
"""Create or update a repository_metadatqa record in the tool shed."""
has_repository_dependencies = False
has_repository_dependencies_only_if_compiling_contained_td = False
includes_datatypes = False
includes_tools = False
includes_tool_dependencies = False
includes_workflows = False
if metadata_dict:
repository_dependencies_dict = metadata_dict.get( 'repository_dependencies', {} )
repository_dependencies = repository_dependencies_dict.get( 'repository_dependencies', [] )
has_repository_dependencies, has_repository_dependencies_only_if_compiling_contained_td = \
suc.get_repository_dependency_types( repository_dependencies )
if 'datatypes' in metadata_dict:
includes_datatypes = True
if 'tools' in metadata_dict:
includes_tools = True
if 'tool_dependencies' in metadata_dict:
includes_tool_dependencies = True
if 'workflows' in metadata_dict:
includes_workflows = True
if has_repository_dependencies or \
has_repository_dependencies_only_if_compiling_contained_td or \
includes_datatypes or \
includes_tools or \
includes_tool_dependencies or \
includes_workflows:
downloadable = True
else:
downloadable = False
repository_metadata = suc.get_repository_metadata_by_changeset_revision( trans, id, changeset_revision )
if repository_metadata:
# A repository metadata record already exists with the received changeset_revision, so we don't need to
# check the skip_tool_test table.
check_skip_tool_test = False
repository_metadata.metadata = metadata_dict
repository_metadata.downloadable = downloadable
repository_metadata.has_repository_dependencies = has_repository_dependencies
repository_metadata.includes_datatypes = includes_datatypes
repository_metadata.includes_tools = includes_tools
repository_metadata.includes_tool_dependencies = includes_tool_dependencies
repository_metadata.includes_workflows = includes_workflows
else:
# No repository_metadata record exists for the received changeset_revision, so we may need to update the
# skip_tool_test table.
check_skip_tool_test = True
repository_metadata = trans.model.RepositoryMetadata( repository_id=repository.id,
changeset_revision=changeset_revision,
metadata=metadata_dict,
downloadable=downloadable,
has_repository_dependencies=has_repository_dependencies,
includes_datatypes=includes_datatypes,
includes_tools=includes_tools,
includes_tool_dependencies=includes_tool_dependencies,
includes_workflows=includes_workflows )
# Always set the default values for the following columns. When resetting all metadata on a repository
# this will reset the values.
repository_metadata.tools_functionally_correct = False
repository_metadata.missing_test_components = False
repository_metadata.test_install_error = False
repository_metadata.do_not_test = False
repository_metadata.time_last_tested = None
repository_metadata.tool_test_results = None
trans.sa_session.add( repository_metadata )
trans.sa_session.flush()
if check_skip_tool_test:
# Since we created a new repository_metadata record, we may need to update the skip_tool_test table to point to it. Inspect each
# changeset revision in the received repository's changelog (up to the received changeset revision) to see if it is contained in the
# skip_tool_test table. If it is, but is not associated with a repository_metadata record, reset that skip_tool_test record to the
# newly created repository_metadata record.
repo = hg.repository( hg_util.get_configured_ui(), repository.repo_path( trans.app ) )
for changeset in repo.changelog:
changeset_hash = str( repo.changectx( changeset ) )
skip_tool_test = suc.get_skip_tool_test_by_changeset_revision( trans, changeset_hash )
if skip_tool_test:
# We found a skip_tool_test record associated with the changeset_revision, so see if it has a valid repository_revision.
repository_revision = suc.get_repository_metadata_by_id( trans, trans.security.encode_id( repository_metadata.id ) )
if repository_revision:
# The skip_tool_test record is associated with a valid repository_metadata record, so proceed.
continue
# We found a skip_tool_test record that is associated with an invalid repository_metadata record, so update it to point to
# the newly created repository_metadata record. In some special cases there may be multiple skip_tool_test records that
# require updating, so we won't break here, we'll continue to inspect the rest of the changelog up to the received
# changeset_revision.
skip_tool_test.repository_metadata_id = repository_metadata.id
trans.sa_session.add( skip_tool_test )
trans.sa_session.flush()
if changeset_hash == changeset_revision:
# Proceed no further than the received changeset_revision.
break
return repository_metadata
def different_revision_defines_tip_only_repository_dependency( trans, rd_tup, repository_dependencies ):
"""
Determine if the only difference between rd_tup and a dependency definition in the list of
repository_dependencies is the changeset_revision value.
"""
new_metadata_required = False
rd_tool_shed, rd_name, rd_owner, rd_changeset_revision, rd_prior_installation_required, rd_only_if_compiling_contained_td = \
common_util.parse_repository_dependency_tuple( rd_tup )
cleaned_rd_tool_shed = common_util.remove_protocol_from_tool_shed_url( rd_tool_shed )
for repository_dependency in repository_dependencies:
tool_shed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td = \
common_util.parse_repository_dependency_tuple( repository_dependency )
cleaned_tool_shed = common_util.remove_protocol_from_tool_shed_url( tool_shed )
if cleaned_rd_tool_shed == cleaned_tool_shed and rd_name == name and rd_owner == owner:
# Determine if the repository represented by the dependency tuple is an instance of the repository type TipOnly.
required_repository = suc.get_repository_by_name_and_owner( trans.app, name, owner )
repository_type_class = trans.app.repository_types_registry.get_class_by_label( required_repository.type )
return isinstance( repository_type_class, TipOnly )
return False
def generate_data_manager_metadata( app, repository, repo_dir, data_manager_config_filename, metadata_dict, shed_config_dict=None ):
"""Update the received metadata_dict with information from the parsed data_manager_config_filename."""
if data_manager_config_filename is None:
return metadata_dict
repo_path = repository.repo_path( app )
try:
# Galaxy Side.
repo_files_directory = repository.repo_files_directory( app )
repo_dir = repo_files_directory
repository_clone_url = common_util.generate_clone_url_for_installed_repository( app, repository )
except AttributeError:
# Tool Shed side.
repo_files_directory = repo_path
repository_clone_url = common_util.generate_clone_url_for_repository_in_tool_shed( None, repository )
relative_data_manager_dir = util.relpath( os.path.split( data_manager_config_filename )[0], repo_dir )
rel_data_manager_config_filename = os.path.join( relative_data_manager_dir, os.path.split( data_manager_config_filename )[1] )
data_managers = {}
invalid_data_managers = []
data_manager_metadata = { 'config_filename': rel_data_manager_config_filename,
'data_managers': data_managers,
'invalid_data_managers': invalid_data_managers,
'error_messages': [] }
metadata_dict[ 'data_manager' ] = data_manager_metadata
tree, error_message = xml_util.parse_xml( data_manager_config_filename )
if tree is None:
# We are not able to load any data managers.
data_manager_metadata[ 'error_messages' ].append( error_message )
return metadata_dict
tool_path = None
if shed_config_dict:
tool_path = shed_config_dict.get( 'tool_path', None )
tools = {}
for tool in metadata_dict.get( 'tools', [] ):
tool_conf_name = tool[ 'tool_config' ]
if tool_path:
tool_conf_name = os.path.join( tool_path, tool_conf_name )
tools[ tool_conf_name ] = tool
root = tree.getroot()
data_manager_tool_path = root.get( 'tool_path', None )
if data_manager_tool_path:
relative_data_manager_dir = os.path.join( relative_data_manager_dir, data_manager_tool_path )
for i, data_manager_elem in enumerate( root.findall( 'data_manager' ) ):
tool_file = data_manager_elem.get( 'tool_file', None )
data_manager_id = data_manager_elem.get( 'id', None )
if data_manager_id is None:
log.error( 'Data Manager entry is missing id attribute in "%s".' % ( data_manager_config_filename ) )
invalid_data_managers.append( { 'index': i,
'error_message': 'Data Manager entry is missing id attribute' } )
continue
# FIXME: default behavior is to fall back to tool.name.
data_manager_name = data_manager_elem.get( 'name', data_manager_id )
version = data_manager_elem.get( 'version', DataManager.DEFAULT_VERSION )
guid = generate_guid_for_object( repository_clone_url, DataManager.GUID_TYPE, data_manager_id, version )
data_tables = []
if tool_file is None:
log.error( 'Data Manager entry is missing tool_file attribute in "%s".' % ( data_manager_config_filename ) )
invalid_data_managers.append( { 'index': i,
'error_message': 'Data Manager entry is missing tool_file attribute' } )
continue
else:
bad_data_table = False
for data_table_elem in data_manager_elem.findall( 'data_table' ):
data_table_name = data_table_elem.get( 'name', None )
if data_table_name is None:
log.error( 'Data Manager data_table entry is missing name attribute in "%s".' % ( data_manager_config_filename ) )
invalid_data_managers.append( { 'index': i,
'error_message': 'Data Manager entry is missing name attribute' } )
bad_data_table = True
break
else:
data_tables.append( data_table_name )
if bad_data_table:
continue
data_manager_metadata_tool_file = os.path.normpath( os.path.join( relative_data_manager_dir, tool_file ) )
tool_metadata_tool_file = os.path.join( repo_files_directory, data_manager_metadata_tool_file )
tool = tools.get( tool_metadata_tool_file, None )
if tool is None:
log.error( "Unable to determine tools metadata for '%s'." % ( data_manager_metadata_tool_file ) )
invalid_data_managers.append( { 'index': i,
'error_message': 'Unable to determine tools metadata' } )
continue
data_managers[ data_manager_id ] = { 'id': data_manager_id,
'name': data_manager_name,
'guid': guid,
'version': version,
'tool_config_file': data_manager_metadata_tool_file,
'data_tables': data_tables,
'tool_guid': tool[ 'guid' ] }
log.debug( 'Loaded Data Manager tool_files: %s' % ( tool_file ) )
return metadata_dict
def generate_datatypes_metadata( app, repository, repository_clone_url, repository_files_dir, datatypes_config, metadata_dict ):
"""Update the received metadata_dict with information from the parsed datatypes_config."""
tree, error_message = xml_util.parse_xml( datatypes_config )
if tree is None:
return metadata_dict
root = tree.getroot()
repository_datatype_code_files = []
datatype_files = root.find( 'datatype_files' )
if datatype_files is not None:
for elem in datatype_files.findall( 'datatype_file' ):
name = elem.get( 'name', None )
repository_datatype_code_files.append( name )
metadata_dict[ 'datatype_files' ] = repository_datatype_code_files
datatypes = []
registration = root.find( 'registration' )
if registration is not None:
for elem in registration.findall( 'datatype' ):
converters = []
display_app_containers = []
datatypes_dict = {}
# Handle defined datatype attributes.
display_in_upload = elem.get( 'display_in_upload', None )
if display_in_upload:
datatypes_dict[ 'display_in_upload' ] = display_in_upload
dtype = elem.get( 'type', None )
if dtype:
datatypes_dict[ 'dtype' ] = dtype
extension = elem.get( 'extension', None )
if extension:
datatypes_dict[ 'extension' ] = extension
max_optional_metadata_filesize = elem.get( 'max_optional_metadata_filesize', None )
if max_optional_metadata_filesize:
datatypes_dict[ 'max_optional_metadata_filesize' ] = max_optional_metadata_filesize
mimetype = elem.get( 'mimetype', None )
if mimetype:
datatypes_dict[ 'mimetype' ] = mimetype
subclass = elem.get( 'subclass', None )
if subclass:
datatypes_dict[ 'subclass' ] = subclass
# Handle defined datatype converters and display applications.
for sub_elem in elem:
if sub_elem.tag == 'converter':
# <converter file="bed_to_gff_converter.xml" target_datatype="gff"/>
tool_config = sub_elem.attrib[ 'file' ]
target_datatype = sub_elem.attrib[ 'target_datatype' ]
# Parse the tool_config to get the guid.
tool_config_path = suc.get_config_from_disk( tool_config, repository_files_dir )
full_path = os.path.abspath( tool_config_path )
tool, valid, error_message = tool_util.load_tool_from_config( app, app.security.encode_id( repository.id ), full_path )
if tool is None:
guid = None
else:
guid = suc.generate_tool_guid( repository_clone_url, tool )
converter_dict = dict( tool_config=tool_config,
guid=guid,
target_datatype=target_datatype )
converters.append( converter_dict )
elif sub_elem.tag == 'display':
# <display file="ucsc/bigwig.xml" />
# Should we store more than this?
display_file = sub_elem.attrib[ 'file' ]
display_app_dict = dict( display_file=display_file )
display_app_containers.append( display_app_dict )
if converters:
datatypes_dict[ 'converters' ] = converters
if display_app_containers:
datatypes_dict[ 'display_app_containers' ] = display_app_containers
if datatypes_dict:
datatypes.append( datatypes_dict )
if datatypes:
metadata_dict[ 'datatypes' ] = datatypes
return metadata_dict
def generate_environment_dependency_metadata( elem, valid_tool_dependencies_dict ):
"""
The value of env_var_name must match the value of the "set_environment" type in the tool config's <requirements> tag set,
or the tool dependency will be considered an orphan.
"""
# The value of the received elem looks something like this:
# <set_environment version="1.0">
# <environment_variable name="JAVA_JAR_PATH" action="set_to">$INSTALL_DIR</environment_variable>
# </set_environment>
requirements_dict = {}
for env_elem in elem:
# <environment_variable name="JAVA_JAR_PATH" action="set_to">$INSTALL_DIR</environment_variable>
env_name = env_elem.get( 'name', None )
if env_name:
requirements_dict[ 'name' ] = env_name
requirements_dict[ 'type' ] = 'set_environment'
if requirements_dict:
if 'set_environment' in valid_tool_dependencies_dict:
valid_tool_dependencies_dict[ 'set_environment' ].append( requirements_dict )
else:
valid_tool_dependencies_dict[ 'set_environment' ] = [ requirements_dict ]
return valid_tool_dependencies_dict
def generate_guid_for_object( repository_clone_url, guid_type, obj_id, version ):
tmp_url = common_util.remove_protocol_and_user_from_clone_url( repository_clone_url )
return '%s/%s/%s/%s' % ( tmp_url, guid_type, obj_id, version )
def generate_metadata_for_changeset_revision( app, repository, changeset_revision, repository_clone_url,
shed_config_dict=None, relative_install_dir=None, repository_files_dir=None,
resetting_all_metadata_on_repository=False, updating_installed_repository=False,
persist=False ):
"""
Generate metadata for a repository using it's files on disk. To generate metadata for changeset revisions older than
the repository tip, the repository will have been cloned to a temporary location and updated to a specified changeset
revision to access that changeset revision's disk files, so the value of repository_files_dir will not always be
repository.repo_path( app ) (it could be an absolute path to a temporary directory containing a clone). If it is an
absolute path, the value of relative_install_dir must contain repository.repo_path( app ).
The value of persist will be True when the installed repository contains a valid tool_data_table_conf.xml.sample file,
in which case the entries should ultimately be persisted to the file referred to by app.config.shed_tool_data_table_config.
"""
if shed_config_dict is None:
shed_config_dict = {}
if updating_installed_repository:
# Keep the original tool shed repository metadata if setting metadata on a repository installed into a local Galaxy
# instance for which we have pulled updates.
original_repository_metadata = repository.metadata
else:
original_repository_metadata = None
readme_file_names = readme_util.get_readme_file_names( str( repository.name ) )
if app.name == 'galaxy':
# Shed related tool panel configs are only relevant to Galaxy.
metadata_dict = { 'shed_config_filename' : shed_config_dict.get( 'config_filename' ) }
else:
metadata_dict = {}
readme_files = []
invalid_file_tups = []
invalid_tool_configs = []
tool_dependencies_config = None
original_tool_data_path = app.config.tool_data_path
original_tool_data_table_config_path = app.config.tool_data_table_config_path
if resetting_all_metadata_on_repository:
if not relative_install_dir:
raise Exception( "The value of repository.repo_path( app ) must be sent when resetting all metadata on a repository." )
# Keep track of the location where the repository is temporarily cloned so that we can strip the path when setting metadata.
# The value of repository_files_dir is the full path to the temporary directory to which the repository was cloned.
work_dir = repository_files_dir
files_dir = repository_files_dir
# Since we're working from a temporary directory, we can safely copy sample files included in the repository to the repository
# root.
app.config.tool_data_path = repository_files_dir
app.config.tool_data_table_config_path = repository_files_dir
else:
# Use a temporary working directory to copy all sample files.
work_dir = tempfile.mkdtemp( prefix="tmp-toolshed-gmfcr" )
# All other files are on disk in the repository's repo_path, which is the value of relative_install_dir.
files_dir = relative_install_dir
if shed_config_dict.get( 'tool_path' ):
files_dir = os.path.join( shed_config_dict[ 'tool_path' ], files_dir )
app.config.tool_data_path = work_dir #FIXME: Thread safe?
app.config.tool_data_table_config_path = work_dir
# Handle proprietary datatypes, if any.
datatypes_config = suc.get_config_from_disk( suc.DATATYPES_CONFIG_FILENAME, files_dir )
if datatypes_config:
metadata_dict = generate_datatypes_metadata( app, repository, repository_clone_url, files_dir, datatypes_config, metadata_dict )
# Get the relative path to all sample files included in the repository for storage in the repository's metadata.
sample_file_metadata_paths, sample_file_copy_paths = \
get_sample_files_from_disk( repository_files_dir=files_dir,
tool_path=shed_config_dict.get( 'tool_path' ),
relative_install_dir=relative_install_dir,
resetting_all_metadata_on_repository=resetting_all_metadata_on_repository )
if sample_file_metadata_paths:
metadata_dict[ 'sample_files' ] = sample_file_metadata_paths
# Copy all sample files included in the repository to a single directory location so we can load tools that depend on them.
for sample_file in sample_file_copy_paths:
tool_util.copy_sample_file( app, sample_file, dest_path=work_dir )
# If the list of sample files includes a tool_data_table_conf.xml.sample file, laad it's table elements into memory.
relative_path, filename = os.path.split( sample_file )
if filename == 'tool_data_table_conf.xml.sample':
new_table_elems, error_message = \
app.tool_data_tables.add_new_entries_from_config_file( config_filename=sample_file,
tool_data_path=app.config.tool_data_path,
shed_tool_data_table_config=app.config.shed_tool_data_table_config,
persist=False )
if error_message:
invalid_file_tups.append( ( filename, error_message ) )
for root, dirs, files in os.walk( files_dir ):
if root.find( '.hg' ) < 0 and root.find( 'hgrc' ) < 0:
if '.hg' in dirs:
dirs.remove( '.hg' )
for name in files:
# See if we have a repository dependencies defined.
if name == suc.REPOSITORY_DEPENDENCY_DEFINITION_FILENAME:
path_to_repository_dependencies_config = os.path.join( root, name )
metadata_dict, error_message = \
generate_repository_dependency_metadata( app,
path_to_repository_dependencies_config,
metadata_dict,
updating_installed_repository=updating_installed_repository )
if error_message:
invalid_file_tups.append( ( name, error_message ) )
# See if we have one or more READ_ME files.
elif name.lower() in readme_file_names:
relative_path_to_readme = get_relative_path_to_repository_file( root,
name,
relative_install_dir,
work_dir,
shed_config_dict,
resetting_all_metadata_on_repository )
readme_files.append( relative_path_to_readme )
# See if we have a tool config.
elif name not in NOT_TOOL_CONFIGS and name.endswith( '.xml' ):
full_path = str( os.path.abspath( os.path.join( root, name ) ) )
if os.path.getsize( full_path ) > 0:
if not ( checkers.check_binary( full_path ) or
checkers.check_image( full_path ) or
checkers.check_gzip( full_path )[ 0 ] or
checkers.check_bz2( full_path )[ 0 ] or
checkers.check_zip( full_path ) ):
# Make sure we're looking at a tool config and not a display application config or something else.
element_tree, error_message = xml_util.parse_xml( full_path )
if element_tree is None:
is_tool = False
else:
element_tree_root = element_tree.getroot()
is_tool = element_tree_root.tag == 'tool'
if is_tool:
tool, valid, error_message = \
tool_util.load_tool_from_config( app, app.security.encode_id( repository.id ), full_path )
if tool is None:
if not valid:
invalid_tool_configs.append( name )
invalid_file_tups.append( ( name, error_message ) )
else:
invalid_files_and_errors_tups = \
tool_util.check_tool_input_params( app, files_dir, name, tool, sample_file_copy_paths )
can_set_metadata = True
for tup in invalid_files_and_errors_tups:
if name in tup:
can_set_metadata = False
invalid_tool_configs.append( name )
break
if can_set_metadata:
relative_path_to_tool_config = \
get_relative_path_to_repository_file( root,
name,
relative_install_dir,
work_dir,
shed_config_dict,
resetting_all_metadata_on_repository )
metadata_dict = generate_tool_metadata( relative_path_to_tool_config,
tool,
repository_clone_url,
metadata_dict )
else:
for tup in invalid_files_and_errors_tups:
invalid_file_tups.append( tup )
# Find all exported workflows.
elif name.endswith( '.ga' ):
relative_path = os.path.join( root, name )
if os.path.getsize( os.path.abspath( relative_path ) ) > 0:
fp = open( relative_path, 'rb' )
workflow_text = fp.read()
fp.close()
if workflow_text:
valid_exported_galaxy_workflow = True
try:
exported_workflow_dict = json.from_json_string( workflow_text )
except Exception, e:
log.exception( "Skipping file %s since it does not seem to be a valid exported Galaxy workflow: %s" \
% str( relative_path ), str( e ) )
valid_exported_galaxy_workflow = False
if valid_exported_galaxy_workflow and \
'a_galaxy_workflow' in exported_workflow_dict and exported_workflow_dict[ 'a_galaxy_workflow' ] == 'true':
metadata_dict = generate_workflow_metadata( relative_path, exported_workflow_dict, metadata_dict )
# Handle any data manager entries
metadata_dict = generate_data_manager_metadata( app,
repository,
files_dir,
suc.get_config_from_disk( suc.REPOSITORY_DATA_MANAGER_CONFIG_FILENAME, files_dir ),
metadata_dict,
shed_config_dict=shed_config_dict )
if readme_files:
metadata_dict[ 'readme_files' ] = readme_files
# This step must be done after metadata for tools has been defined.
tool_dependencies_config = suc.get_config_from_disk( 'tool_dependencies.xml', files_dir )
if tool_dependencies_config:
metadata_dict, error_message = generate_tool_dependency_metadata( app,
repository,
changeset_revision,
repository_clone_url,
tool_dependencies_config,
metadata_dict,
original_repository_metadata=original_repository_metadata )
if error_message:
invalid_file_tups.append( ( 'tool_dependencies.xml', error_message ) )
if invalid_tool_configs:
metadata_dict [ 'invalid_tools' ] = invalid_tool_configs
# Reset the value of the app's tool_data_path and tool_data_table_config_path to their respective original values.
app.config.tool_data_path = original_tool_data_path
app.config.tool_data_table_config_path = original_tool_data_table_config_path
suc.remove_dir( work_dir )
return metadata_dict, invalid_file_tups
def generate_package_dependency_metadata( app, elem, valid_tool_dependencies_dict, invalid_tool_dependencies_dict ):
"""
Generate the metadata for a tool dependencies package defined for a repository. The value of package_name must
match the value of the "package" type in the tool config's <requirements> tag set. This method is called from
both Galaxy and the tool shed.
"""
repository_dependency_is_valid = True
repository_dependency_tup = []
requirements_dict = {}
error_message = ''
package_name = elem.get( 'name', None )
package_version = elem.get( 'version', None )
if package_name and package_version:
requirements_dict[ 'name' ] = package_name
requirements_dict[ 'version' ] = package_version
requirements_dict[ 'type' ] = 'package'
for sub_elem in elem:
if sub_elem.tag == 'readme':
requirements_dict[ 'readme' ] = sub_elem.text
elif sub_elem.tag == 'repository':
# We have a complex repository dependency. If the returned value of repository_dependency_is_valid
# is True, the tool dependency definition will be set as invalid. This is currently the only case
# where a tool dependency definition is considered invalid.
repository_dependency_tup, repository_dependency_is_valid, error_message = \
handle_repository_elem( app=app,
repository_elem=sub_elem,
only_if_compiling_contained_td=False,
updating_installed_repository=False )
elif sub_elem.tag == 'install':
package_install_version = sub_elem.get( 'version', '1.0' )
if package_install_version == '1.0':
# Complex repository dependencies can be defined within the last <actions> tag set contained in an
# <actions_group> tag set. Comments, <repository> tag sets and <readme> tag sets will be skipped
# in td_common_util.parse_package_elem().
actions_elem_tuples = td_common_util.parse_package_elem( sub_elem,
platform_info_dict=None,
include_after_install_actions=False )
if actions_elem_tuples:
# We now have a list of a single tuple that looks something like:
# [(True, <Element 'actions' at 0x104017850>)]
actions_elem_tuple = actions_elem_tuples[ 0 ]
in_actions_group, actions_elem = actions_elem_tuple
if in_actions_group:
# Since we're inside an <actions_group> tag set, inspect the actions_elem to see if a complex
# repository dependency is defined. By definition, complex repository dependency definitions
# contained within the last <actions> tag set within an <actions_group> tag set will have the
# value of "only_if_compiling_contained_td" set to True in
for action_elem in actions_elem:
if action_elem.tag == 'package':
# <package name="libgtextutils" version="0.6">
# <repository name="package_libgtextutils_0_6" owner="test" prior_installation_required="True" />
# </package>
ae_package_name = action_elem.get( 'name', None )
ae_package_version = action_elem.get( 'version', None )
if ae_package_name and ae_package_version:
for sub_action_elem in action_elem:
if sub_action_elem.tag == 'repository':
# We have a complex repository dependency.
repository_dependency_tup, repository_dependency_is_valid, error_message = \
handle_repository_elem( app=app,
repository_elem=sub_action_elem,
only_if_compiling_contained_td=True,
updating_installed_repository=False )
if requirements_dict:
dependency_key = '%s/%s' % ( package_name, package_version )
if repository_dependency_is_valid:
valid_tool_dependencies_dict[ dependency_key ] = requirements_dict
else:
# Append the error message to the requirements_dict.
requirements_dict[ 'error' ] = error_message
invalid_tool_dependencies_dict[ dependency_key ] = requirements_dict
return valid_tool_dependencies_dict, invalid_tool_dependencies_dict, repository_dependency_tup, \
repository_dependency_is_valid, error_message
def generate_repository_dependency_metadata( app, repository_dependencies_config, metadata_dict, updating_installed_repository=False ):
"""
Generate a repository dependencies dictionary based on valid information defined in the received
repository_dependencies_config. This method is called from the tool shed as well as from Galaxy.
"""
error_message = ''
# Make sure we're looking at a valid repository_dependencies.xml file.
tree, error_message = xml_util.parse_xml( repository_dependencies_config )
if tree is None:
xml_is_valid = False
else:
root = tree.getroot()
xml_is_valid = root.tag == 'repositories'
if xml_is_valid:
invalid_repository_dependencies_dict = dict( description=root.get( 'description' ) )
invalid_repository_dependency_tups = []
valid_repository_dependencies_dict = dict( description=root.get( 'description' ) )
valid_repository_dependency_tups = []
for repository_elem in root.findall( 'repository' ):
repository_dependency_tup, repository_dependency_is_valid, err_msg = \
handle_repository_elem( app,
repository_elem,
only_if_compiling_contained_td=False,
updating_installed_repository=updating_installed_repository )
if repository_dependency_is_valid:
valid_repository_dependency_tups.append( repository_dependency_tup )
else:
# Append the error_message to the repository dependencies tuple.
toolshed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td = \
repository_dependency_tup
repository_dependency_tup = ( toolshed,
name,
owner,
changeset_revision,
prior_installation_required,
only_if_compiling_contained_td,
err_msg )
invalid_repository_dependency_tups.append( repository_dependency_tup )
error_message += err_msg
if invalid_repository_dependency_tups:
invalid_repository_dependencies_dict[ 'repository_dependencies' ] = invalid_repository_dependency_tups
metadata_dict[ 'invalid_repository_dependencies' ] = invalid_repository_dependencies_dict
if valid_repository_dependency_tups:
valid_repository_dependencies_dict[ 'repository_dependencies' ] = valid_repository_dependency_tups
metadata_dict[ 'repository_dependencies' ] = valid_repository_dependencies_dict
return metadata_dict, error_message
def generate_tool_dependency_metadata( app, repository, changeset_revision, repository_clone_url, tool_dependencies_config,
metadata_dict, original_repository_metadata=None ):
"""
If the combination of name, version and type of each element is defined in the <requirement> tag for
at least one tool in the repository, then update the received metadata_dict with information from the
parsed tool_dependencies_config.
"""
error_message = ''
if original_repository_metadata:
# Keep a copy of the original tool dependencies dictionary and the list of tool dictionaries in the metadata.
original_valid_tool_dependencies_dict = original_repository_metadata.get( 'tool_dependencies', None )
original_invalid_tool_dependencies_dict = original_repository_metadata.get( 'invalid_tool_dependencies', None )
else:
original_valid_tool_dependencies_dict = None
original_invalid_tool_dependencies_dict = None
tree, error_message = xml_util.parse_xml( tool_dependencies_config )
if tree is None:
return metadata_dict, error_message
root = tree.getroot()
tool_dependency_is_valid = True
valid_tool_dependencies_dict = {}
invalid_tool_dependencies_dict = {}
valid_repository_dependency_tups = []
invalid_repository_dependency_tups = []
description = root.get( 'description' )
for elem in root:
if elem.tag == 'package':
valid_tool_dependencies_dict, invalid_tool_dependencies_dict, repository_dependency_tup, repository_dependency_is_valid, message = \
generate_package_dependency_metadata( app, elem, valid_tool_dependencies_dict, invalid_tool_dependencies_dict )
if repository_dependency_is_valid:
if repository_dependency_tup and repository_dependency_tup not in valid_repository_dependency_tups:
# We have a valid complex repository dependency.
valid_repository_dependency_tups.append( repository_dependency_tup )
else:
if repository_dependency_tup and repository_dependency_tup not in invalid_repository_dependency_tups:
# We have an invalid complex repository dependency, so mark the tool dependency as invalid.
tool_dependency_is_valid = False
# Append the error message to the invalid repository dependency tuple.
toolshed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td = repository_dependency_tup
repository_dependency_tup = \
( toolshed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td, message )
invalid_repository_dependency_tups.append( repository_dependency_tup )
error_message = '%s %s' % ( error_message, message )
elif elem.tag == 'set_environment':
valid_tool_dependencies_dict = generate_environment_dependency_metadata( elem, valid_tool_dependencies_dict )
if valid_tool_dependencies_dict:
if original_valid_tool_dependencies_dict:
# We're generating metadata on an update pulled to a tool shed repository installed into a Galaxy instance, so handle changes to
# tool dependencies appropriately.
handle_existing_tool_dependencies_that_changed_in_update( app, repository, original_valid_tool_dependencies_dict, valid_tool_dependencies_dict )
metadata_dict[ 'tool_dependencies' ] = valid_tool_dependencies_dict
if invalid_tool_dependencies_dict:
metadata_dict[ 'invalid_tool_dependencies' ] = invalid_tool_dependencies_dict
if valid_repository_dependency_tups:
metadata_dict = update_repository_dependencies_metadata( metadata=metadata_dict,
repository_dependency_tups=valid_repository_dependency_tups,
is_valid=True,
description=description )
if invalid_repository_dependency_tups:
metadata_dict = update_repository_dependencies_metadata( metadata=metadata_dict,
repository_dependency_tups=invalid_repository_dependency_tups,
is_valid=False,
description=description )
return metadata_dict, error_message
def generate_tool_metadata( tool_config, tool, repository_clone_url, metadata_dict ):
"""Update the received metadata_dict with changes that have been applied to the received tool."""
# Generate the guid.
guid = suc.generate_tool_guid( repository_clone_url, tool )
# Handle tool.requirements.
tool_requirements = []
for tool_requirement in tool.requirements:
name = str( tool_requirement.name )
type = str( tool_requirement.type )
version = str( tool_requirement.version ) if tool_requirement.version else None
requirement_dict = dict( name=name,
type=type,
version=version )
tool_requirements.append( requirement_dict )
# Handle tool.tests.
tool_tests = []
if tool.tests:
for ttb in tool.tests:
required_files = []
for required_file in ttb.required_files:
value, extra = required_file
required_files.append( ( value ) )
inputs = []
for param_name, values in ttb.inputs.iteritems():
# Handle improperly defined or strange test parameters and values.
if param_name is not None:
if values is None:
# An example is the 3rd test in http://testtoolshed.g2.bx.psu.edu/view/devteam/samtools_rmdup
# which is defined as:
# <test>
# <param name="input1" value="1.bam" ftype="bam" />
# <param name="bam_paired_end_type_selector" value="PE" />
# <param name="force_se" />
# <output name="output1" file="1.bam" ftype="bam" sort="True" />
# </test>
inputs.append( ( param_name, values ) )
else:
if len( values ) == 1:
inputs.append( ( param_name, values[ 0 ] ) )
else:
inputs.append( ( param_name, values ) )
outputs = []
for output in ttb.outputs:
name, file_name, extra = output
outputs.append( ( name, suc.strip_path( file_name ) if file_name else None ) )
if file_name not in required_files and file_name is not None:
required_files.append( file_name )
test_dict = dict( name=str( ttb.name ),
required_files=required_files,
inputs=inputs,
outputs=outputs )
tool_tests.append( test_dict )
# Determine if the tool should be loaded into the tool panel. Examples of valid tools that should not be displayed in the tool panel are
# datatypes converters and DataManager tools (which are of type 'manage_data').
datatypes = metadata_dict.get( 'datatypes', None )
add_to_tool_panel_attribute = set_add_to_tool_panel_attribute_for_tool( tool=tool, guid=guid, datatypes=datatypes )
tool_dict = dict( id=tool.id,
guid=guid,
name=tool.name,
version=tool.version,
description=tool.description,
version_string_cmd = tool.version_string_cmd,
tool_config=tool_config,
tool_type=tool.tool_type,
requirements=tool_requirements,
tests=tool_tests,
add_to_tool_panel=add_to_tool_panel_attribute )
if 'tools' in metadata_dict:
metadata_dict[ 'tools' ].append( tool_dict )
else:
metadata_dict[ 'tools' ] = [ tool_dict ]
return metadata_dict
def generate_workflow_metadata( relative_path, exported_workflow_dict, metadata_dict ):
"""Update the received metadata_dict with changes that have been applied to the received exported_workflow_dict."""
if 'workflows' in metadata_dict:
metadata_dict[ 'workflows' ].append( ( relative_path, exported_workflow_dict ) )
else:
metadata_dict[ 'workflows' ] = [ ( relative_path, exported_workflow_dict ) ]
return metadata_dict
def get_latest_repository_metadata( trans, decoded_repository_id, downloadable=False ):
"""Get last metadata defined for a specified repository from the database."""
repository = trans.sa_session.query( trans.model.Repository ).get( decoded_repository_id )
repo = hg.repository( hg_util.get_configured_ui(), repository.repo_path( trans.app ) )
if downloadable:
changeset_revision = suc.get_latest_downloadable_changeset_revision( trans, repository, repo )
else:
changeset_revision = suc.get_latest_changeset_revision( trans, repository, repo )
return suc.get_repository_metadata_by_changeset_revision( trans, trans.security.encode_id( repository.id ), changeset_revision )
def get_parent_id( trans, id, old_id, version, guid, changeset_revisions ):
parent_id = None
# Compare from most recent to oldest.
changeset_revisions.reverse()
for changeset_revision in changeset_revisions:
repository_metadata = suc.get_repository_metadata_by_changeset_revision( trans, id, changeset_revision )
metadata = repository_metadata.metadata
tools_dicts = metadata.get( 'tools', [] )
for tool_dict in tools_dicts:
if tool_dict[ 'guid' ] == guid:
# The tool has not changed between the compared changeset revisions.
continue
if tool_dict[ 'id' ] == old_id and tool_dict[ 'version' ] != version:
# The tool version is different, so we've found the parent.
return tool_dict[ 'guid' ]
if parent_id is None:
# The tool did not change through all of the changeset revisions.
return old_id
def get_relative_path_to_repository_file( root, name, relative_install_dir, work_dir, shed_config_dict, resetting_all_metadata_on_repository ):
if resetting_all_metadata_on_repository:
full_path_to_file = os.path.join( root, name )
stripped_path_to_file = full_path_to_file.replace( work_dir, '' )
if stripped_path_to_file.startswith( '/' ):
stripped_path_to_file = stripped_path_to_file[ 1: ]
relative_path_to_file = os.path.join( relative_install_dir, stripped_path_to_file )
else:
relative_path_to_file = os.path.join( root, name )
if relative_install_dir and \
shed_config_dict.get( 'tool_path' ) and relative_path_to_file.startswith( os.path.join( shed_config_dict.get( 'tool_path' ), relative_install_dir ) ):
relative_path_to_file = relative_path_to_file[ len( shed_config_dict.get( 'tool_path' ) ) + 1: ]
return relative_path_to_file
def get_repository_metadata_by_id( trans, id ):
"""Get repository metadata from the database"""
return trans.sa_session.query( trans.model.RepositoryMetadata ).get( trans.security.decode_id( id ) )
def get_repository_metadata_by_repository_id_changeset_revision( trans, id, changeset_revision, metadata_only=False ):
"""Get a specified metadata record for a specified repository in the tool shed."""
if metadata_only:
repository_metadata = suc.get_repository_metadata_by_changeset_revision( trans, id, changeset_revision )
if repository_metadata and repository_metadata.metadata:
return repository_metadata.metadata
return None
return suc.get_repository_metadata_by_changeset_revision( trans, id, changeset_revision )
def get_repository_metadata_revisions_for_review( repository, reviewed=True ):
repository_metadata_revisions = []
metadata_changeset_revision_hashes = []
if reviewed:
for metadata_revision in repository.metadata_revisions:
metadata_changeset_revision_hashes.append( metadata_revision.changeset_revision )
for review in repository.reviews:
if review.changeset_revision in metadata_changeset_revision_hashes:
rmcr_hashes = [ rmr.changeset_revision for rmr in repository_metadata_revisions ]
if review.changeset_revision not in rmcr_hashes:
repository_metadata_revisions.append( review.repository_metadata )
else:
for review in repository.reviews:
if review.changeset_revision not in metadata_changeset_revision_hashes:
metadata_changeset_revision_hashes.append( review.changeset_revision )
for metadata_revision in repository.metadata_revisions:
if metadata_revision.changeset_revision not in metadata_changeset_revision_hashes:
repository_metadata_revisions.append( metadata_revision )
return repository_metadata_revisions
def get_sample_files_from_disk( repository_files_dir, tool_path=None, relative_install_dir=None,
resetting_all_metadata_on_repository=False ):
if resetting_all_metadata_on_repository:
# Keep track of the location where the repository is temporarily cloned so that we can strip
# it when setting metadata.
work_dir = repository_files_dir
sample_file_metadata_paths = []
sample_file_copy_paths = []
for root, dirs, files in os.walk( repository_files_dir ):
if root.find( '.hg' ) < 0:
for name in files:
if name.endswith( '.sample' ):
if resetting_all_metadata_on_repository:
full_path_to_sample_file = os.path.join( root, name )
stripped_path_to_sample_file = full_path_to_sample_file.replace( work_dir, '' )
if stripped_path_to_sample_file.startswith( '/' ):
stripped_path_to_sample_file = stripped_path_to_sample_file[ 1: ]
relative_path_to_sample_file = os.path.join( relative_install_dir, stripped_path_to_sample_file )
if os.path.exists( relative_path_to_sample_file ):
sample_file_copy_paths.append( relative_path_to_sample_file )
else:
sample_file_copy_paths.append( full_path_to_sample_file )
else:
relative_path_to_sample_file = os.path.join( root, name )
sample_file_copy_paths.append( relative_path_to_sample_file )
if tool_path and relative_install_dir:
if relative_path_to_sample_file.startswith( os.path.join( tool_path, relative_install_dir ) ):
relative_path_to_sample_file = relative_path_to_sample_file[ len( tool_path ) + 1 :]
sample_file_metadata_paths.append( relative_path_to_sample_file )
return sample_file_metadata_paths, sample_file_copy_paths
def handle_existing_tool_dependencies_that_changed_in_update( app, repository, original_dependency_dict, new_dependency_dict ):
"""
This method is called when a Galaxy admin is getting updates for an installed tool shed repository in order to cover the case where an
existing tool dependency was changed (e.g., the version of the dependency was changed) but the tool version for which it is a dependency
was not changed. In this case, we only want to determine if any of the dependency information defined in original_dependency_dict was
changed in new_dependency_dict. We don't care if new dependencies were added in new_dependency_dict since they will just be treated as
missing dependencies for the tool.
"""
updated_tool_dependency_names = []
deleted_tool_dependency_names = []
for original_dependency_key, original_dependency_val_dict in original_dependency_dict.items():
if original_dependency_key not in new_dependency_dict:
updated_tool_dependency = update_existing_tool_dependency( app, repository, original_dependency_val_dict, new_dependency_dict )
if updated_tool_dependency:
updated_tool_dependency_names.append( updated_tool_dependency.name )
else:
deleted_tool_dependency_names.append( original_dependency_val_dict[ 'name' ] )
return updated_tool_dependency_names, deleted_tool_dependency_names
def handle_repository_elem( app, repository_elem, only_if_compiling_contained_td=False, updating_installed_repository=False ):
"""
Process the received repository_elem which is a <repository> tag either from a repository_dependencies.xml
file or a tool_dependencies.xml file. If the former, we're generating repository dependencies metadata for
a repository in the tool shed. If the latter, we're generating package dependency metadata within Galaxy or
the tool shed.
"""
sa_session = app.model.context.current
is_valid = True
error_message = ''
toolshed = repository_elem.get( 'toolshed', None )
name = repository_elem.get( 'name', None )
owner = repository_elem.get( 'owner', None )
changeset_revision = repository_elem.get( 'changeset_revision', None )
prior_installation_required = str( repository_elem.get( 'prior_installation_required', False ) )
if app.name == 'galaxy':
if updating_installed_repository:
pass
else:
# We're installing a repository into Galaxy, so make sure its contained repository dependency definition
# is valid.
if toolshed is None or name is None or owner is None or changeset_revision is None:
# Raise an exception here instead of returning an error_message to keep the installation from
# proceeding. Reaching here implies a bug in the Tool Shed framework.
error_message = 'Installation halted because the following repository dependency definition is invalid:\n'
error_message += xml_util.xml_to_string( repository_elem, use_indent=True )
raise Exception( error_message )
if not toolshed:
# Default to the current tool shed.
toolshed = str( url_for( '/', qualified=True ) ).rstrip( '/' )
repository_dependency_tup = [ toolshed,
name,
owner,
changeset_revision,
prior_installation_required,
str( only_if_compiling_contained_td ) ]
user = None
repository = None
toolshed = common_util.remove_protocol_from_tool_shed_url( toolshed )
if app.name == 'galaxy':
# We're in Galaxy. We reach here when we're generating the metadata for a tool dependencies package defined
# for a repository or when we're generating metadata for an installed repository. See if we can locate the
# installed repository via the changeset_revision defined in the repository_elem (it may be outdated). If we're
# successful in locating an installed repository with the attributes defined in the repository_elem, we know it
# is valid.
repository = suc.get_repository_for_dependency_relationship( app, toolshed, name, owner, changeset_revision )
if repository:
return repository_dependency_tup, is_valid, error_message
else:
# Send a request to the tool shed to retrieve appropriate additional changeset revisions with which the repository
# may have been installed.
text = install_util.get_updated_changeset_revisions_from_tool_shed( app, toolshed, name, owner, changeset_revision )
if text:
updated_changeset_revisions = util.listify( text )
for updated_changeset_revision in updated_changeset_revisions:
repository = suc.get_repository_for_dependency_relationship( app,
toolshed,
name,
owner,
updated_changeset_revision )
if repository:
return repository_dependency_tup, is_valid, error_message
if updating_installed_repository:
# The repository dependency was included in an update to the installed repository, so it will
# not yet be installed. Return the tuple for later installation.
return repository_dependency_tup, is_valid, error_message
if updating_installed_repository:
# The repository dependency was included in an update to the installed repository, so it will not yet
# be installed. Return the tuple for later installation.
return repository_dependency_tup, is_valid, error_message
# Don't generate an error message for missing repository dependencies that are required only if compiling the
# dependent repository's tool dependency.
if not only_if_compiling_contained_td:
# We'll currently default to setting the repository dependency definition as invalid if an installed repository
# cannot be found. This may not be ideal because the tool shed may have simply been inaccessible when metadata
# was being generated for the installed tool shed repository.
error_message = "Ignoring invalid repository dependency definition for tool shed %s, name %s, owner %s, " % \
( toolshed, name, owner )
error_message += "changeset revision %s." % changeset_revision
log.debug( error_message )
is_valid = False
return repository_dependency_tup, is_valid, error_message
else:
# We're in the tool shed.
if suc.tool_shed_is_this_tool_shed( toolshed ):
try:
user = sa_session.query( app.model.User ) \
.filter( app.model.User.table.c.username == owner ) \
.one()
except Exception, e:
error_message = "Ignoring repository dependency definition for tool shed %s, name %s, owner %s, " % \
( toolshed, name, owner )
error_message += "changeset revision %s because the owner is invalid. " % changeset_revision
log.debug( error_message )
is_valid = False
return repository_dependency_tup, is_valid, error_message
try:
repository = sa_session.query( app.model.Repository ) \
.filter( and_( app.model.Repository.table.c.name == name,
app.model.Repository.table.c.user_id == user.id ) ) \
.one()
except:
error_message = "Ignoring repository dependency definition for tool shed %s, name %s, owner %s, " % \
( toolshed, name, owner )
error_message += "changeset revision %s because the name is invalid. " % changeset_revision
log.debug( error_message )
is_valid = False
return repository_dependency_tup, is_valid, error_message
repo = hg.repository( hg_util.get_configured_ui(), repository.repo_path( app ) )
# The received changeset_revision may be None since defining it in the dependency definition is optional.
# If this is the case, the default will be to set it's value to the repository dependency tip revision.
# This probably occurs only when handling circular dependency definitions.
tip_ctx = repo.changectx( repo.changelog.tip() )
# Make sure the repo.changlog includes at least 1 revision.
if changeset_revision is None and tip_ctx.rev() >= 0:
changeset_revision = str( tip_ctx )
repository_dependency_tup = [ toolshed,
name,
owner,
changeset_revision,
prior_installation_required,
str( only_if_compiling_contained_td ) ]
return repository_dependency_tup, is_valid, error_message
else:
# Find the specified changeset revision in the repository's changelog to see if it's valid.
found = False
for changeset in repo.changelog:
changeset_hash = str( repo.changectx( changeset ) )
if changeset_hash == changeset_revision:
found = True
break
if not found:
error_message = "Ignoring repository dependency definition for tool shed %s, name %s, owner %s, " % \
( toolshed, name, owner )
error_message += "changeset revision %s because the changeset revision is invalid. " % changeset_revision
log.debug( error_message )
is_valid = False
return repository_dependency_tup, is_valid, error_message
else:
# Repository dependencies are currently supported within a single tool shed.
error_message = "Repository dependencies are currently supported only within the same tool shed. Ignoring "
error_message += "repository dependency definition for tool shed %s, name %s, owner %s, changeset revision %s. " % \
( toolshed, name, owner, changeset_revision )
log.debug( error_message )
is_valid = False
return repository_dependency_tup, is_valid, error_message
return repository_dependency_tup, is_valid, error_message
def is_downloadable( metadata_dict ):
# NOTE: although repository README files are considered Galaxy utilities, they have no effect on determining if a revision is installable.
# See the comments in the compare_readme_files() method.
if 'datatypes' in metadata_dict:
# We have proprietary datatypes.
return True
if 'repository_dependencies' in metadata_dict:
# We have repository_dependencies.
return True
if 'tools' in metadata_dict:
# We have tools.
return True
if 'tool_dependencies' in metadata_dict:
# We have tool dependencies, and perhaps only tool dependencies!
return True
if 'workflows' in metadata_dict:
# We have exported workflows.
return True
return False
def is_level_one_certified( trans, repository ):
"""
Return True if the latest installable changeset_revision of the received repository is level one certified.
"""
if repository.deleted:
return ( None, False )
repo = hg.repository( hg_util.get_configured_ui(), repository.repo_path( trans.app ) )
# Get the latest installable changeset revision since that is all that is currently configured for testing.
latest_installable_changeset_revision = suc.get_latest_downloadable_changeset_revision( trans, repository, repo )
if latest_installable_changeset_revision not in [ None, suc.INITIAL_CHANGELOG_HASH ]:
encoded_repository_id = trans.security.encode_id( repository.id )
repository_metadata = suc.get_repository_metadata_by_changeset_revision( trans,
encoded_repository_id,
latest_installable_changeset_revision )
if repository_metadata:
# Filter out repository revisions that have not been tested.
if repository_metadata.time_last_tested is not None and repository_metadata.tool_test_results is not None:
if repository.type in [ rt_util.REPOSITORY_SUITE_DEFINITION, rt_util.TOOL_DEPENDENCY_DEFINITION ]:
# Look in the tool_test_results dictionary for installation errors.
try:
tool_test_results_dict = repository_metadata.tool_test_results[ 0 ]
except Exception, e:
message = 'Error attempting to retrieve install and test results for repository %s:\n' % str( repository.name )
message += '%s' % str( e )
log.exception( message )
return ( latest_installable_changeset_revision, False )
if 'installation_errors' in tool_test_results_dict:
return ( latest_installable_changeset_revision, False )
return ( latest_installable_changeset_revision, True )
else:
# We have a repository with type Unrestricted.
if repository_metadata.includes_tools:
if repository_metadata.tools_functionally_correct:
return ( latest_installable_changeset_revision, True )
return ( latest_installable_changeset_revision, False )
else:
# Look in the tool_test_results dictionary for installation errors.
try:
tool_test_results_dict = repository_metadata.tool_test_results[ 0 ]
except Exception, e:
message = 'Error attempting to retrieve install and test results for repository %s:\n' % str( repository.name )
message += '%s' % str( e )
log.exception( message )
return ( latest_installable_changeset_revision, False )
if 'installation_errors' in tool_test_results_dict:
return ( latest_installable_changeset_revision, False )
return ( latest_installable_changeset_revision, True )
else:
# No test results.
return ( latest_installable_changeset_revision, False )
else:
# No repository_metadata.
return ( latest_installable_changeset_revision, False )
else:
# No installable changeset_revision.
return ( None, False )
def new_datatypes_metadata_required( trans, repository_metadata, metadata_dict ):
"""
Compare the last saved metadata for each datatype in the repository with the new metadata in metadata_dict to determine if a new
repository_metadata table record is required or if the last saved metadata record can be updated for datatypes instead.
"""
# Datatypes are stored in metadata as a list of dictionaries that looks like:
# [{'dtype': 'galaxy.datatypes.data:Text', 'subclass': 'True', 'extension': 'acedb'}]
if 'datatypes' in metadata_dict:
current_datatypes = metadata_dict[ 'datatypes' ]
if repository_metadata:
metadata = repository_metadata.metadata
if metadata:
if 'datatypes' in metadata:
ancestor_datatypes = metadata[ 'datatypes' ]
# The saved metadata must be a subset of the new metadata.
datatype_comparison = compare_datatypes( trans, ancestor_datatypes, current_datatypes )
if datatype_comparison == NOT_EQUAL_AND_NOT_SUBSET:
return True
else:
return False
else:
# The new metadata includes datatypes, but the stored metadata does not, so we can update the stored metadata.
return False
else:
# There is no stored metadata, so we can update the metadata column in the repository_metadata table.
return False
else:
# There is no stored repository metadata, so we need to create a new repository_metadata table record.
return True
# The received metadata_dict includes no metadata for datatypes, so a new repository_metadata table record is not needed.
return False
def new_metadata_required_for_utilities( trans, repository, new_tip_metadata_dict ):
"""
Galaxy utilities currently consist of datatypes, repository_dependency definitions, tools, tool_dependency definitions and exported
Galaxy workflows. This method compares the last stored repository_metadata record associated with the received repository against the
contents of the received new_tip_metadata_dict and returns True or False for the union set of Galaxy utilities contained in both metadata
dictionaries. The metadata contained in new_tip_metadata_dict may not be a subset of that contained in the last stored repository_metadata
record associated with the received repository because one or more Galaxy utilities may have been deleted from the repository in the new tip.
"""
repository_metadata = get_latest_repository_metadata( trans, repository.id, downloadable=False )
datatypes_required = new_datatypes_metadata_required( trans, repository_metadata, new_tip_metadata_dict )
# Uncomment the following if we decide that README files should affect how installable repository revisions are defined. See the NOTE in the
# compare_readme_files() method.
# readme_files_required = new_readme_files_metadata_required( trans, repository_metadata, new_tip_metadata_dict )
repository_dependencies_required = new_repository_dependency_metadata_required( trans, repository_metadata, new_tip_metadata_dict )
tools_required = new_tool_metadata_required( trans, repository_metadata, new_tip_metadata_dict )
tool_dependencies_required = new_tool_dependency_metadata_required( trans, repository_metadata, new_tip_metadata_dict )
workflows_required = new_workflow_metadata_required( trans, repository_metadata, new_tip_metadata_dict )
if datatypes_required or repository_dependencies_required or tools_required or tool_dependencies_required or workflows_required:
return True
return False
def new_readme_files_metadata_required( trans, repository_metadata, metadata_dict ):
"""
Compare the last saved metadata for each readme file in the repository with the new metadata in metadata_dict to determine if a new
repository_metadata table record is required or if the last saved metadata record can be updated for readme files instead.
"""
# Repository README files are kind of a special case because they have no effect on reproducibility. We'll simply inspect the file names to
# determine if any that exist in the saved metadata are eliminated from the new metadata in the received metadata_dict.
if 'readme_files' in metadata_dict:
current_readme_files = metadata_dict[ 'readme_files' ]
if repository_metadata:
metadata = repository_metadata.metadata
if metadata:
if 'readme_files' in metadata:
ancestor_readme_files = metadata[ 'readme_files' ]
# The saved metadata must be a subset of the new metadata.
readme_file_comparison = compare_readme_files( ancestor_readme_files, current_readme_files )
if readme_file_comparison == NOT_EQUAL_AND_NOT_SUBSET:
return True
else:
return False
else:
# The new metadata includes readme_files, but the stored metadata does not, so we can update the stored metadata.
return False
else:
# There is no stored metadata, so we can update the metadata column in the repository_metadata table.
return False
else:
# There is no stored repository metadata, so we need to create a new repository_metadata table record.
return True
# The received metadata_dict includes no metadata for readme_files, so a new repository_metadata table record is not needed.
return False
def new_repository_dependency_metadata_required( trans, repository_metadata, metadata_dict ):
"""
Compare the last saved metadata for each repository dependency in the repository with the new metadata in metadata_dict to determine if a new
repository_metadata table record is required or if the last saved metadata record can be updated for repository_dependencies instead.
"""
if repository_metadata:
metadata = repository_metadata.metadata
if 'repository_dependencies' in metadata:
saved_repository_dependencies = metadata[ 'repository_dependencies' ][ 'repository_dependencies' ]
new_repository_dependencies_metadata = metadata_dict.get( 'repository_dependencies', None )
if new_repository_dependencies_metadata:
new_repository_dependencies = metadata_dict[ 'repository_dependencies' ][ 'repository_dependencies' ]
# TODO: We used to include the following here to handle the case where repository dependency definitions were deleted. However,
# this erroneously returned True in cases where is should not have done so. This usually occurred where multiple single files
# were uploaded when a single tarball should have been. We need to implement support for handling deleted repository dependency
# definitions so that we can guarantee reproducibility, but we need to do it in a way that is better than the following.
# for new_repository_dependency in new_repository_dependencies:
# if new_repository_dependency not in saved_repository_dependencies:
# return True
# The saved metadata must be a subset of the new metadata.
for saved_repository_dependency in saved_repository_dependencies:
if saved_repository_dependency not in new_repository_dependencies:
# In some cases, the only difference between a dependency definition in the lists is the changeset_revision value. We'll
# check to see if this is the case, and if the defined dependency is a repository that has metadata set only on it's tip.
if not different_revision_defines_tip_only_repository_dependency( trans, saved_repository_dependency, new_repository_dependencies ):
return True
return False
else:
# The repository_dependencies.xml file must have been deleted, so create a new repository_metadata record so we always have
# access to the deleted file.
return True
else:
return False
else:
if 'repository_dependencies' in metadata_dict:
# There is no saved repository metadata, so we need to create a new repository_metadata record.
return True
else:
# The received metadata_dict includes no metadata for repository dependencies, so a new repository_metadata record is not needed.
return False
def new_tool_dependency_metadata_required( trans, repository_metadata, metadata_dict ):
"""
Compare the last saved metadata for each tool dependency in the repository with the new metadata in metadata_dict to determine if a new
repository_metadata table record is required or if the last saved metadata record can be updated for tool_dependencies instead.
"""
if repository_metadata:
metadata = repository_metadata.metadata
if metadata:
if 'tool_dependencies' in metadata:
saved_tool_dependencies = metadata[ 'tool_dependencies' ]
new_tool_dependencies = metadata_dict.get( 'tool_dependencies', None )
if new_tool_dependencies:
# TODO: We used to include the following here to handle the case where tool dependency definitions were deleted. However,
# this erroneously returned True in cases where is should not have done so. This usually occurred where multiple single files
# were uploaded when a single tarball should have been. We need to implement support for handling deleted tool dependency
# definitions so that we can guarantee reproducibility, but we need to do it in a way that is better than the following.
# for new_tool_dependency in new_tool_dependencies:
# if new_tool_dependency not in saved_tool_dependencies:
# return True
# The saved metadata must be a subset of the new metadata.
for saved_tool_dependency in saved_tool_dependencies:
if saved_tool_dependency not in new_tool_dependencies:
return True
return False
else:
# The tool_dependencies.xml file must have been deleted, so create a new repository_metadata record so we always have
# access to the deleted file.
return True
else:
return False
else:
# We have repository metadata that does not include metadata for any tool dependencies in the repository, so we can update
# the existing repository metadata.
return False
else:
if 'tool_dependencies' in metadata_dict:
# There is no saved repository metadata, so we need to create a new repository_metadata record.
return True
else:
# The received metadata_dict includes no metadata for tool dependencies, so a new repository_metadata record is not needed.
return False
def new_tool_metadata_required( trans, repository_metadata, metadata_dict ):
"""
Compare the last saved metadata for each tool in the repository with the new metadata in metadata_dict to determine if a new repository_metadata
table record is required, or if the last saved metadata record can be updated instead.
"""
if 'tools' in metadata_dict:
if repository_metadata:
metadata = repository_metadata.metadata
if metadata:
if 'tools' in metadata:
saved_tool_ids = []
# The metadata for one or more tools was successfully generated in the past
# for this repository, so we first compare the version string for each tool id
# in metadata_dict with what was previously saved to see if we need to create
# a new table record or if we can simply update the existing record.
for new_tool_metadata_dict in metadata_dict[ 'tools' ]:
for saved_tool_metadata_dict in metadata[ 'tools' ]:
if saved_tool_metadata_dict[ 'id' ] not in saved_tool_ids:
saved_tool_ids.append( saved_tool_metadata_dict[ 'id' ] )
if new_tool_metadata_dict[ 'id' ] == saved_tool_metadata_dict[ 'id' ]:
if new_tool_metadata_dict[ 'version' ] != saved_tool_metadata_dict[ 'version' ]:
return True
# So far, a new metadata record is not required, but we still have to check to see if
# any new tool ids exist in metadata_dict that are not in the saved metadata. We do
# this because if a new tarball was uploaded to a repository that included tools, it
# may have removed existing tool files if they were not included in the uploaded tarball.
for new_tool_metadata_dict in metadata_dict[ 'tools' ]:
if new_tool_metadata_dict[ 'id' ] not in saved_tool_ids:
return True
return False
else:
# The new metadata includes tools, but the stored metadata does not, so we can update the stored metadata.
return False
else:
# There is no stored metadata, so we can update the metadata column in the repository_metadata table.
return False
else:
# There is no stored repository metadata, so we need to create a new repository_metadata table record.
return True
# The received metadata_dict includes no metadata for tools, so a new repository_metadata table record is not needed.
return False
def new_workflow_metadata_required( trans, repository_metadata, metadata_dict ):
"""
Currently everything about an exported workflow except the name is hard-coded, so there's no real way to differentiate versions of
exported workflows. If this changes at some future time, this method should be enhanced accordingly.
"""
if 'workflows' in metadata_dict:
if repository_metadata:
# The repository has metadata, so update the workflows value - no new record is needed.
return False
else:
# There is no saved repository metadata, so we need to create a new repository_metadata table record.
return True
# The received metadata_dict includes no metadata for workflows, so a new repository_metadata table record is not needed.
return False
def populate_containers_dict_from_repository_metadata( trans, tool_shed_url, tool_path, repository, reinstalling=False, required_repo_info_dicts=None ):
"""
Retrieve necessary information from the received repository's metadata to populate the containers_dict for display. This method is called only
from Galaxy (not the tool shed) when displaying repository dependencies for installed repositories and when displaying them for uninstalled
repositories that are being reinstalled.
"""
metadata = repository.metadata
if metadata:
# Handle proprietary datatypes.
datatypes = metadata.get( 'datatypes', None )
# Handle invalid tools.
invalid_tools = metadata.get( 'invalid_tools', None )
# Handle README files.
if repository.has_readme_files:
if reinstalling or repository.status not in [ trans.install_model.ToolShedRepository.installation_status.DEACTIVATED,
trans.install_model.ToolShedRepository.installation_status.INSTALLED ]:
# Since we're reinstalling, we need to send a request to the tool shed to get the README files.
tool_shed_url = common_util.get_tool_shed_url_from_tool_shed_registry( trans.app, tool_shed_url )
params = '?name=%s&owner=%s&changeset_revision=%s' % ( str( repository.name ),
str( repository.owner ),
str( repository.installed_changeset_revision ) )
url = common_util.url_join( tool_shed_url,
'repository/get_readme_files%s' % params )
raw_text = common_util.tool_shed_get( trans.app, tool_shed_url, url )
readme_files_dict = json.from_json_string( raw_text )
else:
readme_files_dict = readme_util.build_readme_files_dict( trans, repository, repository.changeset_revision, repository.metadata, tool_path )
else:
readme_files_dict = None
# Handle repository dependencies.
installed_repository_dependencies, missing_repository_dependencies = \
common_install_util.get_installed_and_missing_repository_dependencies( trans, repository )
# Handle the current repository's tool dependencies.
repository_tool_dependencies = metadata.get( 'tool_dependencies', None )
# Make sure to display missing tool dependencies as well.
repository_invalid_tool_dependencies = metadata.get( 'invalid_tool_dependencies', None )
if repository_invalid_tool_dependencies is not None:
if repository_tool_dependencies is None:
repository_tool_dependencies = {}
repository_tool_dependencies.update( repository_invalid_tool_dependencies )
repository_installed_tool_dependencies, repository_missing_tool_dependencies = \
tool_dependency_util.get_installed_and_missing_tool_dependencies_for_installed_repository( trans, repository, repository_tool_dependencies )
if reinstalling:
installed_tool_dependencies, missing_tool_dependencies = \
tool_dependency_util.populate_tool_dependencies_dicts( trans=trans,
tool_shed_url=tool_shed_url,
tool_path=tool_path,
repository_installed_tool_dependencies=repository_installed_tool_dependencies,
repository_missing_tool_dependencies=repository_missing_tool_dependencies,
required_repo_info_dicts=required_repo_info_dicts )
else:
installed_tool_dependencies = repository_installed_tool_dependencies
missing_tool_dependencies = repository_missing_tool_dependencies
# Handle valid tools.
valid_tools = metadata.get( 'tools', None )
# Handle workflows.
workflows = metadata.get( 'workflows', None )
# Handle Data Managers
valid_data_managers = None
invalid_data_managers = None
data_managers_errors = None
if 'data_manager' in metadata:
valid_data_managers = metadata['data_manager'].get( 'data_managers', None )
invalid_data_managers = metadata['data_manager'].get( 'invalid_data_managers', None )
data_managers_errors = metadata['data_manager'].get( 'messages', None )
containers_dict = container_util.build_repository_containers_for_galaxy( trans=trans,
repository=repository,
datatypes=datatypes,
invalid_tools=invalid_tools,
missing_repository_dependencies=missing_repository_dependencies,
missing_tool_dependencies=missing_tool_dependencies,
readme_files_dict=readme_files_dict,
repository_dependencies=installed_repository_dependencies,
tool_dependencies=installed_tool_dependencies,
valid_tools=valid_tools,
workflows=workflows,
valid_data_managers=valid_data_managers,
invalid_data_managers=invalid_data_managers,
data_managers_errors=data_managers_errors,
new_install=False,
reinstalling=reinstalling )
else:
containers_dict = dict( datatypes=None,
invalid_tools=None,
readme_files_dict=None,
repository_dependencies=None,
tool_dependencies=None,
valid_tools=None,
workflows=None )
return containers_dict
def reset_all_metadata_on_installed_repository( trans, id ):
"""Reset all metadata on a single tool shed repository installed into a Galaxy instance."""
repository = suc.get_installed_tool_shed_repository( trans, id )
repository_clone_url = common_util.generate_clone_url_for_installed_repository( trans.app, repository )
tool_path, relative_install_dir = repository.get_tool_relative_path( trans.app )
if relative_install_dir:
original_metadata_dict = repository.metadata
metadata_dict, invalid_file_tups = generate_metadata_for_changeset_revision( app=trans.app,
repository=repository,
changeset_revision=repository.changeset_revision,
repository_clone_url=repository_clone_url,
shed_config_dict = repository.get_shed_config_dict( trans.app ),
relative_install_dir=relative_install_dir,
repository_files_dir=None,
resetting_all_metadata_on_repository=False,
updating_installed_repository=False,
persist=False )
repository.metadata = metadata_dict
if metadata_dict != original_metadata_dict:
suc.update_in_shed_tool_config( trans.app, repository )
trans.install_model.context.add( repository )
trans.install_model.context.flush()
log.debug( 'Metadata has been reset on repository %s.' % repository.name )
else:
log.debug( 'Metadata did not need to be reset on repository %s.' % repository.name )
else:
log.debug( 'Error locating installation directory for repository %s.' % repository.name )
return invalid_file_tups, metadata_dict
def reset_all_metadata_on_repository_in_tool_shed( trans, id ):
"""Reset all metadata on a single repository in a tool shed."""
def reset_all_tool_versions( trans, id, repo ):
"""Reset tool version lineage for those changeset revisions that include valid tools."""
changeset_revisions_that_contain_tools = []
for changeset in repo.changelog:
changeset_revision = str( repo.changectx( changeset ) )
repository_metadata = suc.get_repository_metadata_by_changeset_revision( trans, id, changeset_revision )
if repository_metadata:
metadata = repository_metadata.metadata
if metadata:
if metadata.get( 'tools', None ):
changeset_revisions_that_contain_tools.append( changeset_revision )
# The list of changeset_revisions_that_contain_tools is now filtered to contain only those that are downloadable and contain tools.
# If a repository includes tools, build a dictionary of { 'tool id' : 'parent tool id' } pairs for each tool in each changeset revision.
for index, changeset_revision in enumerate( changeset_revisions_that_contain_tools ):
tool_versions_dict = {}
repository_metadata = suc.get_repository_metadata_by_changeset_revision( trans, id, changeset_revision )
metadata = repository_metadata.metadata
tool_dicts = metadata[ 'tools' ]
if index == 0:
# The first changeset_revision is a special case because it will have no ancestor changeset_revisions in which to match tools.
# The parent tool id for tools in the first changeset_revision will be the "old_id" in the tool config.
for tool_dict in tool_dicts:
tool_versions_dict[ tool_dict[ 'guid' ] ] = tool_dict[ 'id' ]
else:
for tool_dict in tool_dicts:
parent_id = get_parent_id( trans,
id,
tool_dict[ 'id' ],
tool_dict[ 'version' ],
tool_dict[ 'guid' ],
changeset_revisions_that_contain_tools[ 0:index ] )
tool_versions_dict[ tool_dict[ 'guid' ] ] = parent_id
if tool_versions_dict:
repository_metadata.tool_versions = tool_versions_dict
trans.sa_session.add( repository_metadata )
trans.sa_session.flush()
repository = suc.get_repository_in_tool_shed( trans, id )
log.debug( "Resetting all metadata on repository: %s" % repository.name )
repo_dir = repository.repo_path( trans.app )
repo = hg.repository( hg_util.get_configured_ui(), repo_dir )
repository_clone_url = common_util.generate_clone_url_for_repository_in_tool_shed( trans, repository )
# The list of changeset_revisions refers to repository_metadata records that have been created or updated. When the following loop
# completes, we'll delete all repository_metadata records for this repository that do not have a changeset_revision value in this list.
changeset_revisions = []
# When a new repository_metadata record is created, it always uses the values of metadata_changeset_revision and metadata_dict.
metadata_changeset_revision = None
metadata_dict = None
ancestor_changeset_revision = None
ancestor_metadata_dict = None
invalid_file_tups = []
for changeset in repository.get_changesets_for_setting_metadata( trans.app ):
work_dir = tempfile.mkdtemp( prefix="tmp-toolshed-ramorits" )
current_changeset_revision = str( repo.changectx( changeset ) )
ctx = repo.changectx( changeset )
log.debug( "Cloning repository changeset revision: %s", str( ctx.rev() ) )
cloned_ok, error_message = suc.clone_repository( repository_clone_url, work_dir, str( ctx.rev() ) )
if cloned_ok:
log.debug( "Generating metadata for changset revision: %s", str( ctx.rev() ) )
current_metadata_dict, invalid_tups = generate_metadata_for_changeset_revision( app=trans.app,
repository=repository,
changeset_revision=current_changeset_revision,
repository_clone_url=repository_clone_url,
relative_install_dir=repo_dir,
repository_files_dir=work_dir,
resetting_all_metadata_on_repository=True,
updating_installed_repository=False,
persist=False )
# We'll only display error messages for the repository tip (it may be better to display error messages for each installable changeset revision).
if current_changeset_revision == repository.tip( trans.app ):
invalid_file_tups.extend( invalid_tups )
if current_metadata_dict:
if metadata_changeset_revision is None and metadata_dict is None:
# We're at the first change set in the change log.
metadata_changeset_revision = current_changeset_revision
metadata_dict = current_metadata_dict
if ancestor_changeset_revision:
# Compare metadata from ancestor and current. The value of comparison will be one of:
# NO_METADATA - no metadata for either ancestor or current, so continue from current
# EQUAL - ancestor metadata is equivalent to current metadata, so continue from current
# SUBSET - ancestor metadata is a subset of current metadata, so continue from current
# NOT_EQUAL_AND_NOT_SUBSET - ancestor metadata is neither equal to nor a subset of current
# metadata, so persist ancestor metadata.
comparison = compare_changeset_revisions( trans,
ancestor_changeset_revision,
ancestor_metadata_dict,
current_changeset_revision,
current_metadata_dict )
if comparison in [ NO_METADATA, EQUAL, SUBSET ]:
ancestor_changeset_revision = current_changeset_revision
ancestor_metadata_dict = current_metadata_dict
elif comparison == NOT_EQUAL_AND_NOT_SUBSET:
metadata_changeset_revision = ancestor_changeset_revision
metadata_dict = ancestor_metadata_dict
repository_metadata = create_or_update_repository_metadata( trans,
id,
repository,
metadata_changeset_revision,
metadata_dict )
changeset_revisions.append( metadata_changeset_revision )
ancestor_changeset_revision = current_changeset_revision
ancestor_metadata_dict = current_metadata_dict
else:
# We're at the beginning of the change log.
ancestor_changeset_revision = current_changeset_revision
ancestor_metadata_dict = current_metadata_dict
if not ctx.children():
metadata_changeset_revision = current_changeset_revision
metadata_dict = current_metadata_dict
# We're at the end of the change log.
repository_metadata = create_or_update_repository_metadata( trans,
id,
repository,
metadata_changeset_revision,
metadata_dict )
changeset_revisions.append( metadata_changeset_revision )
ancestor_changeset_revision = None
ancestor_metadata_dict = None
elif ancestor_metadata_dict:
# We reach here only if current_metadata_dict is empty and ancestor_metadata_dict is not.
if not ctx.children():
# We're at the end of the change log.
repository_metadata = create_or_update_repository_metadata( trans,
id,
repository,
metadata_changeset_revision,
metadata_dict )
changeset_revisions.append( metadata_changeset_revision )
ancestor_changeset_revision = None
ancestor_metadata_dict = None
suc.remove_dir( work_dir )
# Delete all repository_metadata records for this repository that do not have a changeset_revision
# value in changeset_revisions.
clean_repository_metadata( trans, id, changeset_revisions )
# Set tool version information for all downloadable changeset revisions. Get the list of changeset
# revisions from the changelog.
reset_all_tool_versions( trans, id, repo )
# Reset the tool_data_tables by loading the empty tool_data_table_conf.xml file.
tool_util.reset_tool_data_tables( trans.app )
return invalid_file_tups, metadata_dict
def reset_metadata_on_selected_repositories( trans, **kwd ):
"""
Inspect the repository changelog to reset metadata for all appropriate changeset revisions.
This method is called from both Galaxy and the Tool Shed.
"""
repository_ids = util.listify( kwd.get( 'repository_ids', None ) )
message = ''
status = 'done'
if repository_ids:
successful_count = 0
unsuccessful_count = 0
for repository_id in repository_ids:
try:
if trans.webapp.name == 'tool_shed':
# We're in the tool shed.
repository = suc.get_repository_in_tool_shed( trans, repository_id )
owner = str( repository.user.username )
invalid_file_tups, metadata_dict = reset_all_metadata_on_repository_in_tool_shed( trans, repository_id )
else:
# We're in Galaxy.
repository = suc.get_installed_tool_shed_repository( trans, repository_id )
owner = str( repository.owner )
invalid_file_tups, metadata_dict = reset_all_metadata_on_installed_repository( trans, repository_id )
if invalid_file_tups:
message = tool_util.generate_message_for_invalid_tools( trans, invalid_file_tups, repository, None, as_html=False )
log.debug( message )
unsuccessful_count += 1
else:
log.debug( "Successfully reset metadata on repository %s owned by %s" % ( str( repository.name ), owner ) )
successful_count += 1
except:
log.exception( "Error attempting to reset metadata on repository %s", str( repository.name ) )
unsuccessful_count += 1
message = "Successfully reset metadata on %d %s. " % ( successful_count, inflector.cond_plural( successful_count, "repository" ) )
if unsuccessful_count:
message += "Error setting metadata on %d %s - see the paster log for details. " % ( unsuccessful_count,
inflector.cond_plural( unsuccessful_count, "repository" ) )
else:
message = 'Select at least one repository to on which to reset all metadata.'
status = 'error'
return message, status
def set_add_to_tool_panel_attribute_for_tool( tool, guid, datatypes ):
"""
Determine if a tool should be loaded into the Galaxy tool panel. Examples of valid tools that should not be displayed in the tool panel are datatypes
converters and DataManager tools.
"""
if hasattr( tool, 'tool_type' ):
if tool.tool_type in [ 'manage_data' ]:
# We have a DataManager tool.
return False
if datatypes:
for datatype_dict in datatypes:
converters = datatype_dict.get( 'converters', None )
# [{"converters":
# [{"target_datatype": "gff",
# "tool_config": "bed_to_gff_converter.xml",
# "guid": "localhost:9009/repos/test/bed_to_gff_converter/CONVERTER_bed_to_gff_0/2.0.0"}],
# "display_in_upload": "true",
# "dtype": "galaxy.datatypes.interval:Bed",
# "extension": "bed"}]
if converters:
for converter_dict in converters:
converter_guid = converter_dict.get( 'guid', None )
if converter_guid:
if converter_guid == guid:
# We have a datatypes converter.
return False
return True
def set_repository_metadata( trans, repository, content_alert_str='', **kwd ):
"""
Set metadata using the repository's current disk files, returning specific error messages (if any) to alert the
repository owner that the changeset has problems.
"""
message = ''
status = 'done'
encoded_id = trans.security.encode_id( repository.id )
repository_clone_url = common_util.generate_clone_url_for_repository_in_tool_shed( trans, repository )
repo_dir = repository.repo_path( trans.app )
repo = hg.repository( hg_util.get_configured_ui(), repo_dir )
metadata_dict, invalid_file_tups = generate_metadata_for_changeset_revision( app=trans.app,
repository=repository,
changeset_revision=repository.tip( trans.app ),
repository_clone_url=repository_clone_url,
relative_install_dir=repo_dir,
repository_files_dir=None,
resetting_all_metadata_on_repository=False,
updating_installed_repository=False,
persist=False )
if metadata_dict:
repository_metadata = None
repository_type_class = trans.app.repository_types_registry.get_class_by_label( repository.type )
tip_only = isinstance( repository_type_class, TipOnly )
if not tip_only and new_metadata_required_for_utilities( trans, repository, metadata_dict ):
# Create a new repository_metadata table row.
repository_metadata = create_or_update_repository_metadata( trans,
encoded_id,
repository,
repository.tip( trans.app ),
metadata_dict )
# If this is the first record stored for this repository, see if we need to send any email alerts.
if len( repository.downloadable_revisions ) == 1:
suc.handle_email_alerts( trans, repository, content_alert_str='', new_repo_alert=True, admin_only=False )
else:
# Update the latest stored repository metadata with the contents and attributes of metadata_dict.
repository_metadata = get_latest_repository_metadata( trans, repository.id, downloadable=False )
if repository_metadata:
downloadable = is_downloadable( metadata_dict )
# Update the last saved repository_metadata table row.
repository_metadata.changeset_revision = repository.tip( trans.app )
repository_metadata.metadata = metadata_dict
repository_metadata.downloadable = downloadable
if 'datatypes' in metadata_dict:
repository_metadata.includes_datatypes = True
else:
repository_metadata.includes_datatypes = False
# We don't store information about the special type of repository dependency that is needed only for
# compiling a tool dependency defined for the dependent repository.
repository_dependencies_dict = metadata_dict.get( 'repository_dependencies', {} )
repository_dependencies = repository_dependencies_dict.get( 'repository_dependencies', [] )
has_repository_dependencies, has_repository_dependencies_only_if_compiling_contained_td = \
suc.get_repository_dependency_types( repository_dependencies )
repository_metadata.has_repository_dependencies = has_repository_dependencies
if 'tool_dependencies' in metadata_dict:
repository_metadata.includes_tool_dependencies = True
else:
repository_metadata.includes_tool_dependencies = False
if 'tools' in metadata_dict:
repository_metadata.includes_tools = True
else:
repository_metadata.includes_tools = False
if 'workflows' in metadata_dict:
repository_metadata.includes_workflows = True
else:
repository_metadata.includes_workflows = False
repository_metadata.do_not_test = False
repository_metadata.time_last_tested = None
repository_metadata.tools_functionally_correct = False
repository_metadata.missing_test_components = False
repository_metadata.tool_test_results = None
trans.sa_session.add( repository_metadata )
trans.sa_session.flush()
else:
# There are no metadata records associated with the repository.
repository_metadata = create_or_update_repository_metadata( trans,
encoded_id,
repository,
repository.tip( trans.app ),
metadata_dict )
if 'tools' in metadata_dict and repository_metadata and status != 'error':
# Set tool versions on the new downloadable change set. The order of the list of changesets is
# critical, so we use the repo's changelog.
changeset_revisions = []
for changeset in repo.changelog:
changeset_revision = str( repo.changectx( changeset ) )
if suc.get_repository_metadata_by_changeset_revision( trans, encoded_id, changeset_revision ):
changeset_revisions.append( changeset_revision )
add_tool_versions( trans, encoded_id, repository_metadata, changeset_revisions )
elif len( repo ) == 1 and not invalid_file_tups:
message = "Revision <b>%s</b> includes no Galaxy utilities for which metadata can " % str( repository.tip( trans.app ) )
message += "be defined so this revision cannot be automatically installed into a local Galaxy instance."
status = "error"
if invalid_file_tups:
message = tool_util.generate_message_for_invalid_tools( trans, invalid_file_tups, repository, metadata_dict )
status = 'error'
# Reset the tool_data_tables by loading the empty tool_data_table_conf.xml file.
tool_util.reset_tool_data_tables( trans.app )
return message, status
def set_repository_metadata_due_to_new_tip( trans, repository, content_alert_str=None, **kwd ):
"""Set metadata on the repository tip in the tool shed."""
# This method is not called from Galaxy.
error_message, status = set_repository_metadata( trans,
repository,
content_alert_str=content_alert_str,
**kwd )
if error_message:
# FIXME: This probably should not redirect since this method is called from the upload controller as well
# as the repository controller.
# If there is an error, display it.
return trans.response.send_redirect( web.url_for( controller='repository',
action='manage_repository',
id=trans.security.encode_id( repository.id ),
message=error_message,
status='error' ) )
def update_existing_tool_dependency( app, repository, original_dependency_dict, new_dependencies_dict ):
"""
Update an exsiting tool dependency whose definition was updated in a change set pulled by a Galaxy administrator when getting updates
to an installed tool shed repository. The original_dependency_dict is a single tool dependency definition, an example of which is::
{"name": "bwa",
"readme": "\\nCompiling BWA requires zlib and libpthread to be present on your system.\\n ",
"type": "package",
"version": "0.6.2"}
The new_dependencies_dict is the dictionary generated by the metadata_util.generate_tool_dependency_metadata method.
"""
new_tool_dependency = None
original_name = original_dependency_dict[ 'name' ]
original_type = original_dependency_dict[ 'type' ]
original_version = original_dependency_dict[ 'version' ]
# Locate the appropriate tool_dependency associated with the repository.
tool_dependency = None
for tool_dependency in repository.tool_dependencies:
if tool_dependency.name == original_name and tool_dependency.type == original_type and tool_dependency.version == original_version:
break
if tool_dependency and tool_dependency.can_update:
dependency_install_dir = tool_dependency.installation_directory( app )
removed_from_disk, error_message = tool_dependency_util.remove_tool_dependency_installation_directory( dependency_install_dir )
if removed_from_disk:
context = app.install_model.context
new_dependency_name = None
new_dependency_type = None
new_dependency_version = None
for new_dependency_key, new_dependency_val_dict in new_dependencies_dict.items():
# Match on name only, hopefully this will be enough!
if original_name == new_dependency_val_dict[ 'name' ]:
new_dependency_name = new_dependency_val_dict[ 'name' ]
new_dependency_type = new_dependency_val_dict[ 'type' ]
new_dependency_version = new_dependency_val_dict[ 'version' ]
break
if new_dependency_name and new_dependency_type and new_dependency_version:
# Update all attributes of the tool_dependency record in the database.
log.debug( "Updating version %s of tool dependency %s %s to have new version %s and type %s." % \
( str( tool_dependency.version ),
str( tool_dependency.type ),
str( tool_dependency.name ),
str( new_dependency_version ),
str( new_dependency_type ) ) )
tool_dependency.type = new_dependency_type
tool_dependency.version = new_dependency_version
tool_dependency.status = app.install_model.ToolDependency.installation_status.UNINSTALLED
tool_dependency.error_message = None
context.add( tool_dependency )
context.flush()
new_tool_dependency = tool_dependency
else:
# We have no new tool dependency definition based on a matching dependency name, so remove
# the existing tool dependency record from the database.
log.debug( "Deleting version %s of tool dependency %s %s from the database since it is no longer defined." % \
( str( tool_dependency.version ), str( tool_dependency.type ), str( tool_dependency.name ) ) )
context.delete( tool_dependency )
context.flush()
return new_tool_dependency
def update_repository_dependencies_metadata( metadata, repository_dependency_tups, is_valid, description ):
if is_valid:
repository_dependencies_dict = metadata.get( 'repository_dependencies', None )
else:
repository_dependencies_dict = metadata.get( 'invalid_repository_dependencies', None )
for repository_dependency_tup in repository_dependency_tups:
if is_valid:
tool_shed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td = repository_dependency_tup
else:
tool_shed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td, error_message = repository_dependency_tup
if repository_dependencies_dict:
repository_dependencies = repository_dependencies_dict.get( 'repository_dependencies', [] )
for repository_dependency_tup in repository_dependency_tups:
if repository_dependency_tup not in repository_dependencies:
repository_dependencies.append( repository_dependency_tup )
repository_dependencies_dict[ 'repository_dependencies' ] = repository_dependencies
else:
repository_dependencies_dict = dict( description=description,
repository_dependencies=repository_dependency_tups )
if repository_dependencies_dict:
if is_valid:
metadata[ 'repository_dependencies' ] = repository_dependencies_dict
else:
metadata[ 'invalid_repository_dependencies' ] = repository_dependencies_dict
return metadata