Source code for

import errno
import json
import logging
import os
from collections import OrderedDict

from six import string_types

from galaxy import util
from import TabularToolDataTable
from galaxy.util.template import fill_template

log = logging.getLogger(__name__)

VALUE_TRANSLATION_FUNCTIONS = dict(abspath=os.path.abspath)

[docs]class DataManagers(object):
[docs] def __init__(self, app, xml_filename=None): = app self.data_managers = OrderedDict() self.managed_data_tables = OrderedDict() self.tool_path = None self._reload_count = 0 self.filename = xml_filename or for filename in util.listify(self.filename): if not filename: continue self.load_from_xml(filename) if try: self.load_from_xml(, store_tool_path=True) except (OSError, IOError) as exc: if exc.errno != errno.ENOENT or raise
[docs] def load_from_xml(self, xml_filename, store_tool_path=True): try: tree = util.parse_xml(xml_filename) except (IOError, OSError) as e: if e.errno != errno.ENOENT or raise return # default config option and it doesn't exist, which is fine except Exception as e: log.error('There was an error parsing your Data Manager config file "%s": %s' % (xml_filename, e)) return # we are not able to load any data managers root = tree.getroot() if root.tag != 'data_managers': log.error('A data managers configuration must have a "data_managers" tag as the root. "%s" is present' % (root.tag)) return if store_tool_path: tool_path = root.get('tool_path', None) if tool_path is None: tool_path = if not tool_path: tool_path = '.' self.tool_path = tool_path for data_manager_elem in root.findall('data_manager'): if not self.load_manager_from_elem(data_manager_elem, tool_path=self.tool_path): # Wasn't able to load manager, could happen when galaxy is managed by planemo. # Fall back to loading relative to the data_manager_conf.xml file tool_path = os.path.dirname(xml_filename) self.load_manager_from_elem(data_manager_elem, tool_path=tool_path)
[docs] def load_manager_from_elem(self, data_manager_elem, tool_path=None, add_manager=True): try: data_manager = DataManager(self, data_manager_elem, tool_path=tool_path) except IOError as e: if e.errno == errno.ENOENT: # File does not exist return None except Exception: log.exception("Error loading data_manager") return None if add_manager: self.add_manager(data_manager) log.debug('Loaded Data Manager: %s' % ( return data_manager
[docs] def add_manager(self, data_manager): if in self.data_managers: log.warning("A data manager has been defined twice: %s " % ( self.data_managers[] = data_manager for data_table_name in data_manager.data_tables.keys(): if data_table_name not in self.managed_data_tables: self.managed_data_tables[data_table_name] = [] self.managed_data_tables[data_table_name].append(data_manager)
[docs] def get_manager(self, *args, **kwds): return self.data_managers.get(*args, **kwds)
[docs] def remove_manager(self, manager_ids): if not isinstance(manager_ids, list): manager_ids = [manager_ids] for manager_id in manager_ids: data_manager = self.get_manager(manager_id, None) if data_manager is not None: del self.data_managers[manager_id] # remove tool from toolbox if data_manager.tool: # determine if any data_tables are no longer tracked for data_table_name in data_manager.data_tables.keys(): remove_data_table_tracking = True for other_data_manager in self.data_managers.values(): if data_table_name in other_data_manager.data_tables: remove_data_table_tracking = False break if remove_data_table_tracking and data_table_name in self.managed_data_tables: del self.managed_data_tables[data_table_name]
[docs]class DataManager(object): GUID_TYPE = 'data_manager' DEFAULT_VERSION = "0.0.1"
[docs] def __init__(self, data_managers, elem=None, tool_path=None): self.data_managers = data_managers self.declared_id = None = None self.description = None self.version = self.DEFAULT_VERSION self.guid = None self.tool = None self.data_tables = OrderedDict() self.output_ref_by_data_table = {} self.move_by_data_table_column = {} self.value_translation_by_data_table_column = {} self.tool_shed_repository_info_dict = None self.undeclared_tables = False if elem is not None: self.load_from_element(elem, tool_path or self.data_managers.tool_path)
[docs] def load_from_element(self, elem, tool_path): assert elem.tag == 'data_manager', 'A data manager configuration must have a "data_manager" tag as the root. "%s" is present' % (elem.tag) self.declared_id = elem.get('id') self.guid = elem.get('guid') path = elem.get('tool_file') self.version = elem.get('version', self.version) tool_shed_repository = None tool_guid = None if path is None: tool_elem = elem.find('tool') assert tool_elem is not None, "Error loading tool for data manager. Make sure that a tool_file attribute or a tool tag set has been defined:\n%s" % (util.xml_to_string(elem)) path = tool_elem.get("file") tool_guid = tool_elem.get("guid") # need to determine repository info so that dependencies will work correctly tool_shed_repository =, path) self.tool_shed_repository_info_dict = dict(tool_shed=tool_shed_repository.tool_shed,, owner=tool_shed_repository.owner, installed_changeset_revision=tool_shed_repository.installed_changeset_revision) # use shed_conf_file to determine tool_path shed_conf_file = elem.get("shed_conf_file") if shed_conf_file: shed_conf = if shed_conf: tool_path = shed_conf.get("tool_path", tool_path) assert path is not None, "A tool file path could not be determined:\n%s" % (util.xml_to_string(elem)) self.load_tool(os.path.join(tool_path, path), guid=tool_guid,, tool_shed_repository=tool_shed_repository) = elem.get('name', self.description = elem.get('description', self.tool.description) self.undeclared_tables = util.asbool(elem.get('undeclared_tables', self.undeclared_tables)) for data_table_elem in elem.findall('data_table'): data_table_name = data_table_elem.get("name") assert data_table_name is not None, "A name is required for a data table entry" if data_table_name not in self.data_tables: self.data_tables[data_table_name] = OrderedDict() output_elem = data_table_elem.find('output') if output_elem is not None: for column_elem in output_elem.findall('column'): column_name = column_elem.get('name', None) assert column_name is not None, "Name is required for column entry" data_table_coumn_name = column_elem.get('data_table_name', column_name) self.data_tables[data_table_name][data_table_coumn_name] = column_name output_ref = column_elem.get('output_ref', None) if output_ref is not None: if data_table_name not in self.output_ref_by_data_table: self.output_ref_by_data_table[data_table_name] = {} self.output_ref_by_data_table[data_table_name][data_table_coumn_name] = output_ref value_translation_elems = column_elem.findall('value_translation') if value_translation_elems is not None: for value_translation_elem in value_translation_elems: value_translation = value_translation_elem.text if value_translation is not None: value_translation_type = value_translation_elem.get('type', DEFAULT_VALUE_TRANSLATION_TYPE) if data_table_name not in self.value_translation_by_data_table_column: self.value_translation_by_data_table_column[data_table_name] = {} if data_table_coumn_name not in self.value_translation_by_data_table_column[data_table_name]: self.value_translation_by_data_table_column[data_table_name][data_table_coumn_name] = [] if value_translation_type == 'function': if value_translation in VALUE_TRANSLATION_FUNCTIONS: value_translation = VALUE_TRANSLATION_FUNCTIONS[value_translation] else: raise ValueError("Unsupported value translation function: '%s'" % (value_translation)) else: assert value_translation_type == DEFAULT_VALUE_TRANSLATION_TYPE, ValueError("Unsupported value translation type: '%s'" % (value_translation_type)) self.value_translation_by_data_table_column[data_table_name][data_table_coumn_name].append(value_translation) for move_elem in column_elem.findall('move'): move_type = move_elem.get('type', 'directory') relativize_symlinks = move_elem.get('relativize_symlinks', False) # TODO: should we instead always relativize links? source_elem = move_elem.find('source') if source_elem is None: source_base = None source_value = '' else: source_base = source_elem.get('base', None) source_value = source_elem.text target_elem = move_elem.find('target') if target_elem is None: target_base = None target_value = '' else: target_base = target_elem.get('base', None) target_value = target_elem.text if data_table_name not in self.move_by_data_table_column: self.move_by_data_table_column[data_table_name] = {} self.move_by_data_table_column[data_table_name][data_table_coumn_name] = \ dict(type=move_type, source_base=source_base, source_value=source_value, target_base=target_base, target_value=target_value, relativize_symlinks=relativize_symlinks)
@property def id(self): return self.guid or self.declared_id # if we have a guid, we will use that as the data_manager id
[docs] def load_tool(self, tool_filename, guid=None, data_manager_id=None, tool_shed_repository_id=None, tool_shed_repository=None): toolbox = tool = toolbox.load_hidden_tool(tool_filename, guid=guid, data_manager_id=data_manager_id, repository_id=tool_shed_repository_id, tool_shed_repository=tool_shed_repository, use_cached=True)[] = tool self.tool = tool return tool
[docs] def process_result(self, out_data): data_manager_dicts = {} data_manager_dict = {} # TODO: fix this merging below for output_name, output_dataset in out_data.items(): try: output_dict = json.loads(open(output_dataset.file_name).read()) except Exception as e: log.warning('Error reading DataManagerTool json for "%s": %s' % (output_name, e)) continue data_manager_dicts[output_name] = output_dict for key, value in output_dict.items(): if key not in data_manager_dict: data_manager_dict[key] = {} data_manager_dict[key].update(value) data_manager_dict.update(output_dict) data_tables_dict = data_manager_dict.get('data_tables', {}) for data_table_name in self.data_tables.keys(): data_table_values = data_tables_dict.pop(data_table_name, None) if not data_table_values: log.warning('No values for data table "%s" were returned by the data manager "%s".' % (data_table_name, continue # next data table data_table_remove_values = None if isinstance(data_table_values, dict): values_to_add = data_table_values.get('add') data_table_remove_values = data_table_values.get('remove') if values_to_add or data_table_remove_values: # We don't have an old style data table definition data_table_values = values_to_add data_table =, None) if data_table is None: log.error('The data manager "%s" returned an unknown data table "%s" with new entries "%s". These entries will not be created. Please confirm that an entry for "%s" exists in your "%s" file.' % (, data_table_name, data_table_values, data_table_name, 'tool_data_table_conf.xml')) continue # next table name if not isinstance(data_table, SUPPORTED_DATA_TABLE_TYPES): log.error('The data manager "%s" returned an unsupported data table "%s" with type "%s" with new entries "%s". These entries will not be created. Please confirm that the data table is of a supported type (%s).' % (, data_table_name, type(data_table), data_table_values, SUPPORTED_DATA_TABLE_TYPES)) continue # next table name output_ref_values = {} if data_table_name in self.output_ref_by_data_table: for data_table_column, output_ref in self.output_ref_by_data_table[data_table_name].items(): output_ref_dataset = out_data.get(output_ref, None) assert output_ref_dataset is not None, "Referenced output was not found." output_ref_values[data_table_column] = output_ref_dataset if not isinstance(data_table_values, list): data_table_values = [data_table_values] if data_table_values else [] if not isinstance(data_table_remove_values, list): data_table_remove_values = [data_table_remove_values] if data_table_remove_values else [] for data_table_row in data_table_values: data_table_value = dict(**data_table_row) # keep original values here for name, value in data_table_row.items(): # FIXME: need to loop through here based upon order listed in data_manager config if name in output_ref_values: self.process_move(data_table_name, name, output_ref_values[name].extra_files_path, **data_table_value) data_table_value[name] = self.process_value_translation(data_table_name, name, **data_table_value) data_table.add_entry(data_table_value, persist=True, entry_source=self) # Removes data table entries for data_table_row in data_table_remove_values: data_table_value = dict(**data_table_row) # keep original values here data_table.remove_entry(list(data_table_value.values())) 'reload_tool_data_tables', noop_self=True, kwargs={'table_name': data_table_name} ) if self.undeclared_tables and data_tables_dict: # We handle the data move, by just moving all the data out of the extra files path # moving a directory and the target already exists, we move the contents instead log.debug('Attempting to add entries for undeclared tables: %s.', ', '.join(data_tables_dict.keys())) for ref_file in out_data.values(): if ref_file.extra_files_path_exists(): util.move_merge(ref_file.extra_files_path, path_column_names = ['path'] for data_table_name, data_table_values in data_tables_dict.items(): data_table =, None) if not isinstance(data_table_values, list): data_table_values = [data_table_values] for data_table_row in data_table_values: data_table_value = dict(**data_table_row) # keep original values here for name, value in data_table_row.items(): if name in path_column_names: data_table_value[name] = os.path.abspath(os.path.join(, value)) data_table.add_entry(data_table_value, persist=True, entry_source=self) 'reload_tool_data_tables', noop_self=True, kwargs={'table_name': data_table_name} ) else: for data_table_name, data_table_values in data_tables_dict.items(): # tool returned extra data table entries, but data table was not declared in data manager # do not add these values, but do provide messages log.warning('The data manager "%s" returned an undeclared data table "%s" with new entries "%s". These entries will not be created. Please confirm that an entry for "%s" exists in your "%s" file.' % (, data_table_name, data_table_values, data_table_name, self.data_managers.filename))
[docs] def process_move(self, data_table_name, column_name, source_base_path, relative_symlinks=False, **kwd): if data_table_name in self.move_by_data_table_column and column_name in self.move_by_data_table_column[data_table_name]: move_dict = self.move_by_data_table_column[data_table_name][column_name] source = move_dict['source_base'] if source is None: source = source_base_path else: source = fill_template(source,, **kwd).strip() if move_dict['source_value']: source = os.path.join(source, fill_template(move_dict['source_value'],, **kwd).strip()) target = move_dict['target_base'] if target is None: target = else: target = fill_template(target,, **kwd).strip() if move_dict['target_value']: target = os.path.join(target, fill_template(move_dict['target_value'],, **kwd).strip()) if move_dict['type'] == 'file': dirs = os.path.split(target)[0] try: os.makedirs(dirs) except OSError as e: if e.errno != errno.EEXIST: raise e # moving a directory and the target already exists, we move the contents instead if os.path.exists(source): util.move_merge(source, target) if move_dict.get('relativize_symlinks', False): util.relativize_symlinks(target) return True return False
[docs] def process_value_translation(self, data_table_name, column_name, **kwd): value = kwd.get(column_name) if data_table_name in self.value_translation_by_data_table_column and column_name in self.value_translation_by_data_table_column[data_table_name]: for value_translation in self.value_translation_by_data_table_column[data_table_name][column_name]: if isinstance(value_translation, string_types): value = fill_template(value_translation,, **kwd).strip() else: value = value_translation(value) return value
[docs] def get_tool_shed_repository_info_dict(self): return self.tool_shed_repository_info_dict