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Source code for galaxy.model.metadata

Galaxy Metadata


import copy
import json
import logging
import os
import shutil
import sys
import tempfile
import weakref
from os.path import abspath

from six import string_types
from six.moves import cPickle
from sqlalchemy.orm import object_session

import galaxy.model
from galaxy.util import (in_directory, listify, string_as_bool,
from galaxy.util.json import safe_dumps
from galaxy.util.object_wrapper import sanitize_lists_to_string
from galaxy.util.odict import odict
from galaxy.web import form_builder

log = logging.getLogger(__name__)

STATEMENTS = "__galaxy_statements__"  # this is the name of the property in a Datatype class where new metadata spec element Statements are stored

[docs]class Statement(object): """ This class inserts its target into a list in the surrounding class. the data.Data class has a metaclass which executes these statements. This is how we shove the metadata element spec into the class. """
[docs] def __init__(self, target): self.target = target
def __call__(self, *args, **kwargs): # get the locals dictionary of the frame object one down in the call stack (i.e. the Datatype class calling MetadataElement) class_locals = sys._getframe(1).f_locals # get and set '__galaxy_statments__' to an empty list if not in locals dict statements = class_locals.setdefault(STATEMENTS, []) # add Statement containing info to populate a MetadataElementSpec statements.append((self, args, kwargs))
[docs] @classmethod def process(cls, element): for statement, args, kwargs in getattr(element, STATEMENTS, []): statement.target(element, *args, **kwargs) # statement.target is MetadataElementSpec, element is a Datatype class
[docs]class MetadataCollection(object): """ MetadataCollection is not a collection at all, but rather a proxy to the real metadata which is stored as a Dictionary. This class handles processing the metadata elements when they are set and retrieved, returning default values in cases when metadata is not set. """
[docs] def __init__(self, parent): self.parent = parent # initialize dict if needed if self.parent._metadata is None: self.parent._metadata = {}
[docs] def get_parent(self): if "_parent" in self.__dict__: return self.__dict__["_parent"]() return None
[docs] def set_parent(self, parent): # use weakref to prevent a circular reference interfering with garbage # collection: hda/lda (parent) <--> MetadataCollection (self) ; needs to be # hashable, so cannot use proxy. self.__dict__["_parent"] = weakref.ref(parent)
parent = property(get_parent, set_parent) @property def spec(self): return self.parent.datatype.metadata_spec def __iter__(self): return self.parent._metadata.__iter__()
[docs] def get(self, key, default=None): try: return self.__getattr__(key) or default except Exception: return default
[docs] def items(self): return iter([(k, self.get(k)) for k in self.spec.keys()])
def __str__(self): return dict(self.items()).__str__() def __bool__(self): return bool(self.parent._metadata) __nonzero__ = __bool__ def __getattr__(self, name): if name in self.spec: if name in self.parent._metadata: return self.spec[name].wrap(self.parent._metadata[name], object_session(self.parent)) return self.spec[name].wrap(self.spec[name].default, object_session(self.parent)) if name in self.parent._metadata: return self.parent._metadata[name] def __setattr__(self, name, value): if name == "parent": return self.set_parent(value) else: if name in self.spec: self.parent._metadata[name] = self.spec[name].unwrap(value) else: self.parent._metadata[name] = value
[docs] def remove_key(self, name): if name in self.parent._metadata: del self.parent._metadata[name] else: log.info("Attempted to delete invalid key '%s' from MetadataCollection" % name)
[docs] def element_is_set(self, name): return bool(self.parent._metadata.get(name, False))
[docs] def get_metadata_parameter(self, name, **kwd): if name in self.spec: field = self.spec[name].param.get_field(getattr(self, name), self, None, **kwd) field.value = getattr(self, name) return field
[docs] def make_dict_copy(self, to_copy): """Makes a deep copy of input iterable to_copy according to self.spec""" rval = {} for key, value in to_copy.items(): if key in self.spec: rval[key] = self.spec[key].param.make_copy(value, target_context=self, source_context=to_copy) return rval
@property def requires_dataset_id(self): for key in self.spec: if isinstance(self.spec[key].param, FileParameter): return True return False
[docs] def from_JSON_dict(self, filename=None, path_rewriter=None, json_dict=None): dataset = self.parent if filename is not None: log.debug('loading metadata from file for: %s %s' % (dataset.__class__.__name__, dataset.id)) JSONified_dict = json.load(open(filename)) elif json_dict is not None: log.debug('loading metadata from dict for: %s %s' % (dataset.__class__.__name__, dataset.id)) if isinstance(json_dict, string_types): JSONified_dict = json.loads(json_dict) elif isinstance(json_dict, dict): JSONified_dict = json_dict else: raise ValueError("json_dict must be either a dictionary or a string, got %s." % (type(json_dict))) else: raise ValueError("You must provide either a filename or a json_dict") # We build a dictionary for metadata name / value pairs # because when we copy MetadataTempFile objects we flush the datasets' # session, but only include the newly created MetadataFile object. # If we were to set the metadata elements in the first for loop we'd # lose all previously set metadata elements metadata_name_value = {} for name, spec in self.spec.items(): if name in JSONified_dict: from_ext_kwds = {} external_value = JSONified_dict[name] param = spec.param if isinstance(param, FileParameter): from_ext_kwds['path_rewriter'] = path_rewriter value = param.from_external_value(external_value, dataset, **from_ext_kwds) metadata_name_value[name] = value elif name in dataset._metadata: # if the metadata value is not found in our externally set metadata but it has a value in the 'old' # metadata associated with our dataset, we'll delete it from our dataset's metadata dict del dataset._metadata[name] for name, value in metadata_name_value.items(): dataset._metadata[name] = value if '__extension__' in JSONified_dict: dataset.extension = JSONified_dict['__extension__']
[docs] def to_JSON_dict(self, filename=None): # galaxy.model.customtypes.json_encoder.encode() meta_dict = {} dataset_meta_dict = self.parent._metadata for name, spec in self.spec.items(): if name in dataset_meta_dict: meta_dict[name] = spec.param.to_external_value(dataset_meta_dict[name]) if '__extension__' in dataset_meta_dict: meta_dict['__extension__'] = dataset_meta_dict['__extension__'] if filename is None: return json.dumps(meta_dict) json.dump(meta_dict, open(filename, 'wt+'))
def __getstate__(self): # cannot pickle a weakref item (self._parent), when # data._metadata_collection is None, it will be recreated on demand return None
[docs]class MetadataSpecCollection(odict): """ A simple extension of dict which allows cleaner access to items and allows the values to be iterated over directly as if it were a list. append() is also implemented for simplicity and does not "append". """
[docs] def __init__(self, dict=None): odict.__init__(self, dict=None)
[docs] def append(self, item): self[item.name] = item
[docs] def iter(self): return iter(self.values())
def __getattr__(self, name): return self.get(name) def __repr__(self): # force elements to draw with __str__ for sphinx-apidoc return ', '.join([item.__str__() for item in self.iter()])
[docs]class MetadataParameter(object):
[docs] def __init__(self, spec): self.spec = spec
[docs] def get_field(self, value=None, context=None, other_values=None, **kwd): context = context or {} other_values = other_values or {} return form_builder.TextField(self.spec.name, value=value)
[docs] def to_string(self, value): return str(value)
[docs] def to_safe_string(self, value): return sanitize_lists_to_string(self.to_string(value))
[docs] def make_copy(self, value, target_context=None, source_context=None): return copy.deepcopy(value)
[docs] @classmethod def marshal(cls, value): """ This method should/can be overridden to convert the incoming value to whatever type it is supposed to be. """ return value
[docs] def validate(self, value): """ Throw an exception if the value is invalid. """ pass
[docs] def unwrap(self, form_value): """ Turns a value into its storable form. """ value = self.marshal(form_value) self.validate(value) return value
[docs] def wrap(self, value, session): """ Turns a value into its usable form. """ return value
[docs] def from_external_value(self, value, parent): """ Turns a value read from an external dict into its value to be pushed directly into the metadata dict. """ return value
[docs] def to_external_value(self, value): """ Turns a value read from a metadata into its value to be pushed directly into the external dict. """ return value
[docs]class MetadataElementSpec(object): """ Defines a metadata element and adds it to the metadata_spec (which is a MetadataSpecCollection) of datatype. """
[docs] def __init__(self, datatype, name=None, desc=None, param=MetadataParameter, default=None, no_value=None, visible=True, set_in_upload=False, **kwargs): self.name = name self.desc = desc or name self.default = default self.no_value = no_value self.visible = visible self.set_in_upload = set_in_upload # Catch-all, allows for extra attributes to be set self.__dict__.update(kwargs) # set up param last, as it uses values set above self.param = param(self) # add spec element to the spec datatype.metadata_spec.append(self)
[docs] def get(self, name, default=None): return self.__dict__.get(name, default)
[docs] def wrap(self, value, session): """ Turns a stored value into its usable form. """ return self.param.wrap(value, session)
[docs] def unwrap(self, value): """ Turns an incoming value into its storable form. """ return self.param.unwrap(value)
def __str__(self): # TODO??: assuming param is the class of this MetadataElementSpec - add the plain class name for that spec_dict = dict(param_class=self.param.__class__.__name__) spec_dict.update(self.__dict__) return ("{name} ({param_class}): {desc}, defaults to '{default}'".format(**spec_dict))
# create a statement class that, when called, # will add a new MetadataElementSpec to a class's metadata_spec MetadataElement = Statement(MetadataElementSpec) """ MetadataParameter sub-classes. """
[docs]class SelectParameter(MetadataParameter):
[docs] def __init__(self, spec): MetadataParameter.__init__(self, spec) self.values = self.spec.get("values") self.multiple = string_as_bool(self.spec.get("multiple"))
[docs] def to_string(self, value): if value in [None, []]: return str(self.spec.no_value) if not isinstance(value, list): value = [value] return ",".join(map(str, value))
[docs] def get_field(self, value=None, context=None, other_values=None, values=None, **kwd): context = context or {} other_values = other_values or {} field = form_builder.SelectField(self.spec.name, multiple=self.multiple, display=self.spec.get("display")) if self.values: value_list = self.values elif values: value_list = values elif value: value_list = [(v, v) for v in listify(value)] else: value_list = [] for val, label in value_list: try: if (self.multiple and val in value) or (not self.multiple and val == value): field.add_option(label, val, selected=True) else: field.add_option(label, val, selected=False) except TypeError: field.add_option(val, label, selected=False) return field
[docs] def wrap(self, value, session): # do we really need this (wasteful)? - yes because we are not sure that # all existing selects have been stored previously as lists. Also this # will handle the case where defaults/no_values are specified and are # single non-list values. value = self.marshal(value) if self.multiple: return value elif value: return value[0] # single select, only return the first value return None
[docs] @classmethod def marshal(cls, value): # Store select as list, even if single item if value is None: return [] if not isinstance(value, list): return [value] return value
[docs]class DBKeyParameter(SelectParameter):
[docs] def get_field(self, value=None, context=None, other_values=None, values=None, **kwd): context = context or {} other_values = other_values or {} try: values = kwd['trans'].app.genome_builds.get_genome_build_names(kwd['trans']) except KeyError: pass return super(DBKeyParameter, self).get_field(value, context, other_values, values, **kwd)
[docs]class RangeParameter(SelectParameter):
[docs] def __init__(self, spec): SelectParameter.__init__(self, spec) # The spec must be set with min and max values self.min = spec.get("min") or 1 self.max = spec.get("max") or 1 self.step = self.spec.get("step") or 1
[docs] def get_field(self, value=None, context=None, other_values=None, values=None, **kwd): context = context or {} other_values = other_values or {} if values is None: values = list(zip(range(self.min, self.max, self.step), range(self.min, self.max, self.step))) return SelectParameter.get_field(self, value=value, context=context, other_values=other_values, values=values, **kwd)
[docs] @classmethod def marshal(cls, value): value = SelectParameter.marshal(value) values = [int(x) for x in value] return values
[docs]class ColumnParameter(RangeParameter):
[docs] def get_field(self, value=None, context=None, other_values=None, values=None, **kwd): context = context or {} other_values = other_values or {} if values is None and context: column_range = range(1, (context.columns or 0) + 1, 1) values = list(zip(column_range, column_range)) return RangeParameter.get_field(self, value=value, context=context, other_values=other_values, values=values, **kwd)
[docs]class ColumnTypesParameter(MetadataParameter):
[docs] def to_string(self, value): return ",".join(map(str, value))
[docs]class ListParameter(MetadataParameter):
[docs] def to_string(self, value): return ",".join([str(x) for x in value])
[docs]class DictParameter(MetadataParameter):
[docs] def to_string(self, value): return json.dumps(value)
[docs] def to_safe_string(self, value): # We do not sanitize json dicts return safe_dumps(value)
[docs]class PythonObjectParameter(MetadataParameter):
[docs] def to_string(self, value): if not value: return self.spec._to_string(self.spec.no_value) return self.spec._to_string(value)
[docs] def get_field(self, value=None, context=None, other_values=None, **kwd): context = context or {} other_values = other_values or {} return form_builder.TextField(self.spec.name, value=self._to_string(value))
[docs] @classmethod def marshal(cls, value): return value
[docs]class FileParameter(MetadataParameter):
[docs] def to_string(self, value): if not value: return str(self.spec.no_value) return value.file_name
[docs] def to_safe_string(self, value): # We do not sanitize file names return self.to_string(value)
[docs] def get_field(self, value=None, context=None, other_values=None, **kwd): context = context or {} other_values = other_values or {} return form_builder.TextField(self.spec.name, value=str(value.id))
[docs] def wrap(self, value, session): if value is None: return None if isinstance(value, galaxy.model.MetadataFile) or isinstance(value, MetadataTempFile): return value mf = session.query(galaxy.model.MetadataFile).get(value) return mf
[docs] def make_copy(self, value, target_context, source_context): value = self.wrap(value, object_session(target_context.parent)) if value: new_value = galaxy.model.MetadataFile(dataset=target_context.parent, name=self.spec.name) object_session(target_context.parent).add(new_value) object_session(target_context.parent).flush() shutil.copy(value.file_name, new_value.file_name) return self.unwrap(new_value) return None
[docs] @classmethod def marshal(cls, value): if isinstance(value, galaxy.model.MetadataFile): value = value.id return value
[docs] def from_external_value(self, value, parent, path_rewriter=None): """ Turns a value read from a external dict into its value to be pushed directly into the metadata dict. """ if MetadataTempFile.is_JSONified_value(value): value = MetadataTempFile.from_JSON(value) if isinstance(value, MetadataTempFile): mf = parent.metadata.get(self.spec.name, None) if mf is None: mf = self.new_file(dataset=parent, **value.kwds) # Ensure the metadata file gets updated with content file_name = value.file_name if path_rewriter: # Job may have run with a different (non-local) tmp/working # directory. Correct. file_name = path_rewriter(file_name) parent.dataset.object_store.update_from_file(mf, file_name=file_name, extra_dir='_metadata_files', extra_dir_at_root=True, alt_name=os.path.basename(mf.file_name)) os.unlink(file_name) value = mf.id return value
[docs] def to_external_value(self, value): """ Turns a value read from a metadata into its value to be pushed directly into the external dict. """ if isinstance(value, galaxy.model.MetadataFile): value = value.id elif isinstance(value, MetadataTempFile): value = MetadataTempFile.to_JSON(value) return value
[docs] def new_file(self, dataset=None, **kwds): if object_session(dataset): mf = galaxy.model.MetadataFile(name=self.spec.name, dataset=dataset, **kwds) object_session(dataset).add(mf) object_session(dataset).flush() # flush to assign id return mf else: # we need to make a tmp file that is accessable to the head node, # we will be copying its contents into the MetadataFile objects filename after restoring from JSON # we do not include 'dataset' in the kwds passed, as from_JSON_value() will handle this for us return MetadataTempFile(**kwds)
# This class is used when a database file connection is not available
[docs]class MetadataTempFile(object): tmp_dir = 'database/tmp' # this should be overwritten as necessary in calling scripts
[docs] def __init__(self, **kwds): self.kwds = kwds self._filename = None
@property def file_name(self): if self._filename is None: # we need to create a tmp file, accessable across all nodes/heads, save the name, and return it self._filename = abspath(tempfile.NamedTemporaryFile(dir=self.tmp_dir, prefix="metadata_temp_file_").name) open(self._filename, 'wb+') # create an empty file, so it can't be reused using tempfile return self._filename
[docs] def to_JSON(self): return {'__class__': self.__class__.__name__, 'filename': self.file_name, 'kwds': self.kwds}
[docs] @classmethod def from_JSON(cls, json_dict): # need to ensure our keywords are not unicode rval = cls(**stringify_dictionary_keys(json_dict['kwds'])) rval._filename = json_dict['filename'] return rval
[docs] @classmethod def is_JSONified_value(cls, value): return (isinstance(value, dict) and value.get('__class__', None) == cls.__name__)
[docs] @classmethod def cleanup_from_JSON_dict_filename(cls, filename): try: for key, value in json.load(open(filename)).items(): if cls.is_JSONified_value(value): value = cls.from_JSON(value) if isinstance(value, cls) and os.path.exists(value.file_name): log.debug('Cleaning up abandoned MetadataTempFile file: %s' % value.file_name) os.unlink(value.file_name) except Exception as e: log.debug('Failed to cleanup MetadataTempFile temp files from %s: %s' % (filename, e))
[docs]class JobExternalOutputMetadataWrapper(object): """ Class with methods allowing set_meta() to be called externally to the Galaxy head. This class allows access to external metadata filenames for all outputs associated with a job. We will use JSON as the medium of exchange of information, except for the DatasetInstance object which will use pickle (in the future this could be JSONified as well) """
[docs] def __init__(self, job): self.job_id = job.id
[docs] def get_output_filenames_by_dataset(self, dataset, sa_session): if isinstance(dataset, galaxy.model.HistoryDatasetAssociation): return sa_session.query(galaxy.model.JobExternalOutputMetadata) \ .filter_by(job_id=self.job_id, history_dataset_association_id=dataset.id, is_valid=True) \ .first() # there should only be one or None elif isinstance(dataset, galaxy.model.LibraryDatasetDatasetAssociation): return sa_session.query(galaxy.model.JobExternalOutputMetadata) \ .filter_by(job_id=self.job_id, library_dataset_dataset_association_id=dataset.id, is_valid=True) \ .first() # there should only be one or None return None
[docs] def get_dataset_metadata_key(self, dataset): # Set meta can be called on library items and history items, # need to make different keys for them, since ids can overlap return "%s_%d" % (dataset.__class__.__name__, dataset.id)
[docs] def invalidate_external_metadata(self, datasets, sa_session): for dataset in datasets: jeom = self.get_output_filenames_by_dataset(dataset, sa_session) # shouldn't be more than one valid, but you never know while jeom: jeom.is_valid = False sa_session.add(jeom) sa_session.flush() jeom = self.get_output_filenames_by_dataset(dataset, sa_session)
[docs] def setup_external_metadata(self, datasets, sa_session, exec_dir=None, tmp_dir=None, dataset_files_path=None, output_fnames=None, config_root=None, config_file=None, datatypes_config=None, job_metadata=None, compute_tmp_dir=None, include_command=True, max_metadata_value_size=0, kwds=None): kwds = kwds or {} if tmp_dir is None: tmp_dir = MetadataTempFile.tmp_dir else: MetadataTempFile.tmp_dir = tmp_dir if not os.path.exists(tmp_dir): os.makedirs(tmp_dir) # path is calculated for Galaxy, may be different on compute - rewrite # for the compute server. def metadata_path_on_compute(path): compute_path = path if compute_tmp_dir and tmp_dir and in_directory(path, tmp_dir): path_relative = os.path.relpath(path, tmp_dir) compute_path = os.path.join(compute_tmp_dir, path_relative) return compute_path # fill in metadata_files_dict and return the command with args required to set metadata def __metadata_files_list_to_cmd_line(metadata_files): def __get_filename_override(): if output_fnames: for dataset_path in output_fnames: if dataset_path.real_path == metadata_files.dataset.file_name: return dataset_path.false_path or dataset_path.real_path return "" line = '"%s,%s,%s,%s,%s,%s"' % ( metadata_path_on_compute(metadata_files.filename_in), metadata_path_on_compute(metadata_files.filename_kwds), metadata_path_on_compute(metadata_files.filename_out), metadata_path_on_compute(metadata_files.filename_results_code), __get_filename_override(), metadata_path_on_compute(metadata_files.filename_override_metadata), ) return line if not isinstance(datasets, list): datasets = [datasets] if exec_dir is None: exec_dir = os.path.abspath(os.getcwd()) if dataset_files_path is None: dataset_files_path = galaxy.model.Dataset.file_path if config_root is None: config_root = os.path.abspath(os.getcwd()) if datatypes_config is None: raise Exception('In setup_external_metadata, the received datatypes_config is None.') metadata_files_list = [] for dataset in datasets: key = self.get_dataset_metadata_key(dataset) # future note: # wonkiness in job execution causes build command line to be called more than once # when setting metadata externally, via 'auto-detect' button in edit attributes, etc., # we don't want to overwrite (losing the ability to cleanup) our existing dataset keys and files, # so we will only populate the dictionary once metadata_files = self.get_output_filenames_by_dataset(dataset, sa_session) if not metadata_files: job = sa_session.query(galaxy.model.Job).get(self.job_id) metadata_files = galaxy.model.JobExternalOutputMetadata(job=job, dataset=dataset) # we are using tempfile to create unique filenames, tempfile always returns an absolute path # we will use pathnames relative to the galaxy root, to accommodate instances where the galaxy root # is located differently, i.e. on a cluster node with a different filesystem structure # file to store existing dataset metadata_files.filename_in = abspath(tempfile.NamedTemporaryFile(dir=tmp_dir, prefix="metadata_in_%s_" % key).name) # FIXME: HACK # sqlalchemy introduced 'expire_on_commit' flag for sessionmaker at version 0.5x # This may be causing the dataset attribute of the dataset_association object to no-longer be loaded into memory when needed for pickling. # For now, we'll simply 'touch' dataset_association.dataset to force it back into memory. dataset.dataset # force dataset_association.dataset to be loaded before pickling # A better fix could be setting 'expire_on_commit=False' on the session, or modifying where commits occur, or ? # Touch also deferred column dataset._metadata cPickle.dump(dataset, open(metadata_files.filename_in, 'wb+')) # file to store metadata results of set_meta() metadata_files.filename_out = abspath(tempfile.NamedTemporaryFile(dir=tmp_dir, prefix="metadata_out_%s_" % key).name) open(metadata_files.filename_out, 'wt+') # create the file on disk, so it cannot be reused by tempfile (unlikely, but possible) # file to store a 'return code' indicating the results of the set_meta() call # results code is like (True/False - if setting metadata was successful/failed , exception or string of reason of success/failure ) metadata_files.filename_results_code = abspath(tempfile.NamedTemporaryFile(dir=tmp_dir, prefix="metadata_results_%s_" % key).name) # create the file on disk, so it cannot be reused by tempfile (unlikely, but possible) json.dump((False, 'External set_meta() not called'), open(metadata_files.filename_results_code, 'wt+')) # file to store kwds passed to set_meta() metadata_files.filename_kwds = abspath(tempfile.NamedTemporaryFile(dir=tmp_dir, prefix="metadata_kwds_%s_" % key).name) json.dump(kwds, open(metadata_files.filename_kwds, 'wt+'), ensure_ascii=True) # existing metadata file parameters need to be overridden with cluster-writable file locations metadata_files.filename_override_metadata = abspath(tempfile.NamedTemporaryFile(dir=tmp_dir, prefix="metadata_override_%s_" % key).name) open(metadata_files.filename_override_metadata, 'wt+') # create the file on disk, so it cannot be reused by tempfile (unlikely, but possible) override_metadata = [] for meta_key, spec_value in dataset.metadata.spec.items(): if isinstance(spec_value.param, FileParameter) and dataset.metadata.get(meta_key, None) is not None: metadata_temp = MetadataTempFile() shutil.copy(dataset.metadata.get(meta_key, None).file_name, metadata_temp.file_name) override_metadata.append((meta_key, metadata_temp.to_JSON())) json.dump(override_metadata, open(metadata_files.filename_override_metadata, 'wt+')) # add to session and flush sa_session.add(metadata_files) sa_session.flush() metadata_files_list.append(metadata_files) args = '"%s" "%s" %s %s' % (metadata_path_on_compute(datatypes_config), job_metadata, " ".join(map(__metadata_files_list_to_cmd_line, metadata_files_list)), max_metadata_value_size) if include_command: # return command required to build fd, fp = tempfile.mkstemp(suffix='.py', dir=tmp_dir, prefix="set_metadata_") metadata_script_file = abspath(fp) os.fdopen(fd, 'w').write('from galaxy_ext.metadata.set_metadata import set_metadata; set_metadata()') return 'python "%s" %s' % (metadata_path_on_compute(metadata_script_file), args) else: # return args to galaxy_ext.metadata.set_metadata required to build return args
[docs] def external_metadata_set_successfully(self, dataset, sa_session): metadata_files = self.get_output_filenames_by_dataset(dataset, sa_session) if not metadata_files: return False # this file doesn't exist rval, rstring = json.load(open(metadata_files.filename_results_code)) if not rval: log.debug('setting metadata externally failed for %s %s: %s' % (dataset.__class__.__name__, dataset.id, rstring)) return rval
[docs] def cleanup_external_metadata(self, sa_session): log.debug('Cleaning up external metadata files') for metadata_files in sa_session.query(galaxy.model.Job).get(self.job_id).external_output_metadata: # we need to confirm that any MetadataTempFile files were removed, if not we need to remove them # can occur if the job was stopped before completion, but a MetadataTempFile is used in the set_meta MetadataTempFile.cleanup_from_JSON_dict_filename(metadata_files.filename_out) dataset_key = self.get_dataset_metadata_key(metadata_files.dataset) for key, fname in [('filename_in', metadata_files.filename_in), ('filename_out', metadata_files.filename_out), ('filename_results_code', metadata_files.filename_results_code), ('filename_kwds', metadata_files.filename_kwds), ('filename_override_metadata', metadata_files.filename_override_metadata)]: try: os.remove(fname) except Exception as e: log.debug('Failed to cleanup external metadata file (%s) for %s: %s' % (key, dataset_key, e))
[docs] def set_job_runner_external_pid(self, pid, sa_session): for metadata_files in sa_session.query(galaxy.model.Job).get(self.job_id).external_output_metadata: metadata_files.job_runner_external_pid = pid sa_session.add(metadata_files) sa_session.flush()
__all__ = ( "Statement", "MetadataElement", "MetadataCollection", "MetadataSpecCollection", "MetadataParameter", "MetadataElementSpec", "SelectParameter", "DBKeyParameter", "RangeParameter", "ColumnParameter", "ColumnTypesParameter", "ListParameter", "DictParameter", "PythonObjectParameter", "FileParameter", "MetadataTempFile", "JobExternalOutputMetadataWrapper", )