Loading lib/galaxy/webapps/base/api.py +1 −0 Original line number Diff line number Diff line Loading @@ -173,6 +173,7 @@ def add_empty_response_middleware(app: FastAPI) -> None: def add_sentry_middleware(app: FastAPI) -> None: from sentry_sdk.integrations.asgi import SentryAsgiMiddleware app.add_middleware(SentryAsgiMiddleware) Loading scripts/cleanup_datasets/admin_cleanup_datasets.py +25 −21 Original line number Diff line number Diff line Loading @@ -204,15 +204,14 @@ def administrative_delete_datasets( # We really only need the id column here, but sqlalchemy barfs when # trying to select only 1 column hda_ids_query = sa.select( (app.model.HistoryDatasetAssociation.__table__.c.id, app.model.HistoryDatasetAssociation.__table__.c.deleted), (app.model.HistoryDatasetAssociation.__table__.c.id, app.model.HistoryDatasetAssociation.__table__.c.deleted), whereclause=and_( app.model.Dataset.__table__.c.deleted == false(), app.model.HistoryDatasetAssociation.__table__.c.update_time < cutoff_time, app.model.HistoryDatasetAssociation.__table__.c.deleted == false()), from_obj=[sa.outerjoin( app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)]) app.model.HistoryDatasetAssociation.__table__.c.deleted == false(), ), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)], ) # Add all datasets associated with Histories to our list hda_ids = [] Loading @@ -233,19 +232,22 @@ def administrative_delete_datasets( # Process each of the Dataset objects for hda_id in hda_ids: user_query = sa.select( [app.model.HistoryDatasetAssociation.__table__, app.model.History.__table__, app.model.User.__table__], whereclause=and_( app.model.HistoryDatasetAssociation.__table__.c.id == hda_id), from_obj=[sa.join(app.model.User.__table__, app.model.History.__table__) .join(app.model.HistoryDatasetAssociation.__table__)], use_labels=True) [app.model.HistoryDatasetAssociation.__table__, app.model.History.__table__, app.model.User.__table__], whereclause=and_(app.model.HistoryDatasetAssociation.__table__.c.id == hda_id), from_obj=[ sa.join(app.model.User.__table__, app.model.History.__table__).join( app.model.HistoryDatasetAssociation.__table__ ) ], use_labels=True, ) for result in app.sa_session.execute(user_query): user_notifications[result[app.model.User.__table__.c.email]].append( (result[app.model.HistoryDatasetAssociation.__table__.c.name], result[app.model.History.__table__.c.name])) ( result[app.model.HistoryDatasetAssociation.__table__.c.name], result[app.model.History.__table__.c.name], ) ) deleted_instance_count += 1 if not info_only and not email_only: # Get the HistoryDatasetAssociation objects Loading Loading @@ -282,10 +284,12 @@ def _get_tool_id_for_hda(app, hda_id): # TODO Some datasets don't seem to have an entry in jtod or a copied_from if hda_id is None: return None job = app.sa_session.query(app.model.Job).\ join(app.model.JobToOutputDatasetAssociation).\ filter(app.model.JobToOutputDatasetAssociation.__table__.c.dataset_id == hda_id).first() job = ( app.sa_session.query(app.model.Job) .join(app.model.JobToOutputDatasetAssociation) .filter(app.model.JobToOutputDatasetAssociation.__table__.c.dataset_id == hda_id) .first() ) if job is not None: return job.tool_id else: Loading scripts/cleanup_datasets/cleanup_datasets.py +100 −65 Original line number Diff line number Diff line Loading @@ -222,14 +222,17 @@ def delete_userless_histories(app, cutoff_time, info_only=False, force_retry=Fal history_count = 0 start = time.time() if force_retry: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.user_id == null(), app.model.History.update_time < cutoff_time)) histories = app.sa_session.query(app.model.History).filter( and_(app.model.History.__table__.c.user_id == null(), app.model.History.update_time < cutoff_time) ) else: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.user_id == null(), histories = app.sa_session.query(app.model.History).filter( and_( app.model.History.__table__.c.user_id == null(), app.model.History.__table__.c.deleted == false(), app.model.History.update_time < cutoff_time)) app.model.History.update_time < cutoff_time, ) ) for history in histories: if not info_only: log.info("Deleting history id %d", history.id) Loading @@ -252,16 +255,23 @@ def purge_histories(app, cutoff_time, remove_from_disk, info_only=False, force_r history_count = 0 start = time.time() if force_retry: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.deleted == true(), app.model.History.update_time < cutoff_time)) \ .options(joinedload('datasets')) histories = ( app.sa_session.query(app.model.History) .filter(and_(app.model.History.__table__.c.deleted == true(), app.model.History.update_time < cutoff_time)) .options(joinedload("datasets")) ) else: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.deleted == true(), histories = ( app.sa_session.query(app.model.History) .filter( and_( app.model.History.__table__.c.deleted == true(), app.model.History.__table__.c.purged == false(), app.model.History.update_time < cutoff_time)) \ .options(joinedload('datasets')) app.model.History.update_time < cutoff_time, ) ) .options(joinedload("datasets")) ) for history in histories: log.info("### Processing history id %d (%s)", history.id, unicodify(history.name)) for dataset_assoc in history.datasets: Loading Loading @@ -296,14 +306,19 @@ def purge_libraries(app, cutoff_time, remove_from_disk, info_only=False, force_r library_count = 0 start = time.time() if force_retry: libraries = app.sa_session.query(app.model.Library) \ .filter(and_(app.model.Library.__table__.c.deleted == true(), app.model.Library.__table__.c.update_time < cutoff_time)) libraries = app.sa_session.query(app.model.Library).filter( and_( app.model.Library.__table__.c.deleted == true(), app.model.Library.__table__.c.update_time < cutoff_time ) ) else: libraries = app.sa_session.query(app.model.Library) \ .filter(and_(app.model.Library.__table__.c.deleted == true(), libraries = app.sa_session.query(app.model.Library).filter( and_( app.model.Library.__table__.c.deleted == true(), app.model.Library.__table__.c.purged == false(), app.model.Library.__table__.c.update_time < cutoff_time)) app.model.Library.__table__.c.update_time < cutoff_time, ) ) for library in libraries: _purge_folder(library.root_folder, app, remove_from_disk, info_only=info_only) if not info_only: Loading @@ -327,14 +342,20 @@ def purge_folders(app, cutoff_time, remove_from_disk, info_only=False, force_ret folder_count = 0 start = time.time() if force_retry: folders = app.sa_session.query(app.model.LibraryFolder) \ .filter(and_(app.model.LibraryFolder.__table__.c.deleted == true(), app.model.LibraryFolder.__table__.c.update_time < cutoff_time)) folders = app.sa_session.query(app.model.LibraryFolder).filter( and_( app.model.LibraryFolder.__table__.c.deleted == true(), app.model.LibraryFolder.__table__.c.update_time < cutoff_time, ) ) else: folders = app.sa_session.query(app.model.LibraryFolder) \ .filter(and_(app.model.LibraryFolder.__table__.c.deleted == true(), folders = app.sa_session.query(app.model.LibraryFolder).filter( and_( app.model.LibraryFolder.__table__.c.deleted == true(), app.model.LibraryFolder.__table__.c.purged == false(), app.model.LibraryFolder.__table__.c.update_time < cutoff_time)) app.model.LibraryFolder.__table__.c.update_time < cutoff_time, ) ) for folder in folders: _purge_folder(folder, app, remove_from_disk, info_only=info_only) folder_count += 1 Loading @@ -348,30 +369,36 @@ def delete_datasets(app, cutoff_time, remove_from_disk, info_only=False, force_r # Marks datasets as deleted if associated items are all deleted. start = time.time() if force_retry: history_dataset_ids_query = sa.select((app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), history_dataset_ids_query = sa.select( (app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), whereclause=app.model.HistoryDatasetAssociation.__table__.c.update_time < cutoff_time, from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)]) library_dataset_ids_query = sa.select((app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)], ) library_dataset_ids_query = sa.select( (app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), whereclause=app.model.LibraryDataset.__table__.c.update_time < cutoff_time, from_obj=[app.model.LibraryDataset.__table__]) from_obj=[app.model.LibraryDataset.__table__], ) else: # We really only need the id column here, but sqlalchemy barfs when trying to select only 1 column history_dataset_ids_query = sa.select((app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), whereclause=and_(app.model.Dataset.__table__.c.deleted == false(), history_dataset_ids_query = sa.select( (app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), whereclause=and_( app.model.Dataset.__table__.c.deleted == false(), app.model.HistoryDatasetAssociation.__table__.c.update_time < cutoff_time, app.model.HistoryDatasetAssociation.__table__.c.deleted == true()), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)]) library_dataset_ids_query = sa.select((app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), whereclause=and_(app.model.LibraryDataset.__table__.c.deleted == true(), app.model.HistoryDatasetAssociation.__table__.c.deleted == true(), ), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)], ) library_dataset_ids_query = sa.select( (app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), whereclause=and_( app.model.LibraryDataset.__table__.c.deleted == true(), app.model.LibraryDataset.__table__.c.purged == false(), app.model.LibraryDataset.__table__.c.update_time < cutoff_time), from_obj=[app.model.LibraryDataset.__table__]) app.model.LibraryDataset.__table__.c.update_time < cutoff_time, ), from_obj=[app.model.LibraryDataset.__table__], ) deleted_dataset_count = 0 deleted_instance_count = 0 skip = [] Loading Loading @@ -444,16 +471,22 @@ def purge_datasets(app, cutoff_time, remove_from_disk, info_only=False, force_re disk_space = 0 start = time.time() if force_retry: datasets = app.sa_session.query(app.model.Dataset) \ .filter(and_(app.model.Dataset.__table__.c.deleted == true(), datasets = app.sa_session.query(app.model.Dataset).filter( and_( app.model.Dataset.__table__.c.deleted == true(), app.model.Dataset.__table__.c.purgable == true(), app.model.Dataset.__table__.c.update_time < cutoff_time)) app.model.Dataset.__table__.c.update_time < cutoff_time, ) ) else: datasets = app.sa_session.query(app.model.Dataset) \ .filter(and_(app.model.Dataset.__table__.c.deleted == true(), datasets = app.sa_session.query(app.model.Dataset).filter( and_( app.model.Dataset.__table__.c.deleted == true(), app.model.Dataset.__table__.c.purgable == true(), app.model.Dataset.__table__.c.purged == false(), app.model.Dataset.__table__.c.update_time < cutoff_time)) app.model.Dataset.__table__.c.update_time < cutoff_time, ) ) for dataset in datasets: file_size = dataset.file_size _purge_dataset(app, dataset, remove_from_disk, info_only=info_only) Loading Loading @@ -523,12 +556,14 @@ def _delete_dataset(dataset, app, remove_from_disk, info_only=False, is_deletabl metadata_files = [] # lets create a list of metadata files, then perform actions on them for hda in dataset.history_associations: for metadata_file in app.sa_session.query(app.model.MetadataFile) \ .filter(app.model.MetadataFile.__table__.c.hda_id == hda.id): for metadata_file in app.sa_session.query(app.model.MetadataFile).filter( app.model.MetadataFile.__table__.c.hda_id == hda.id ): metadata_files.append(metadata_file) for ldda in dataset.library_associations: for metadata_file in app.sa_session.query(app.model.MetadataFile) \ .filter(app.model.MetadataFile.__table__.c.lda_id == ldda.id): for metadata_file in app.sa_session.query(app.model.MetadataFile).filter( app.model.MetadataFile.__table__.c.lda_id == ldda.id ): metadata_files.append(metadata_file) for metadata_file in metadata_files: op_description = "marked as deleted" Loading Loading
lib/galaxy/webapps/base/api.py +1 −0 Original line number Diff line number Diff line Loading @@ -173,6 +173,7 @@ def add_empty_response_middleware(app: FastAPI) -> None: def add_sentry_middleware(app: FastAPI) -> None: from sentry_sdk.integrations.asgi import SentryAsgiMiddleware app.add_middleware(SentryAsgiMiddleware) Loading
scripts/cleanup_datasets/admin_cleanup_datasets.py +25 −21 Original line number Diff line number Diff line Loading @@ -204,15 +204,14 @@ def administrative_delete_datasets( # We really only need the id column here, but sqlalchemy barfs when # trying to select only 1 column hda_ids_query = sa.select( (app.model.HistoryDatasetAssociation.__table__.c.id, app.model.HistoryDatasetAssociation.__table__.c.deleted), (app.model.HistoryDatasetAssociation.__table__.c.id, app.model.HistoryDatasetAssociation.__table__.c.deleted), whereclause=and_( app.model.Dataset.__table__.c.deleted == false(), app.model.HistoryDatasetAssociation.__table__.c.update_time < cutoff_time, app.model.HistoryDatasetAssociation.__table__.c.deleted == false()), from_obj=[sa.outerjoin( app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)]) app.model.HistoryDatasetAssociation.__table__.c.deleted == false(), ), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)], ) # Add all datasets associated with Histories to our list hda_ids = [] Loading @@ -233,19 +232,22 @@ def administrative_delete_datasets( # Process each of the Dataset objects for hda_id in hda_ids: user_query = sa.select( [app.model.HistoryDatasetAssociation.__table__, app.model.History.__table__, app.model.User.__table__], whereclause=and_( app.model.HistoryDatasetAssociation.__table__.c.id == hda_id), from_obj=[sa.join(app.model.User.__table__, app.model.History.__table__) .join(app.model.HistoryDatasetAssociation.__table__)], use_labels=True) [app.model.HistoryDatasetAssociation.__table__, app.model.History.__table__, app.model.User.__table__], whereclause=and_(app.model.HistoryDatasetAssociation.__table__.c.id == hda_id), from_obj=[ sa.join(app.model.User.__table__, app.model.History.__table__).join( app.model.HistoryDatasetAssociation.__table__ ) ], use_labels=True, ) for result in app.sa_session.execute(user_query): user_notifications[result[app.model.User.__table__.c.email]].append( (result[app.model.HistoryDatasetAssociation.__table__.c.name], result[app.model.History.__table__.c.name])) ( result[app.model.HistoryDatasetAssociation.__table__.c.name], result[app.model.History.__table__.c.name], ) ) deleted_instance_count += 1 if not info_only and not email_only: # Get the HistoryDatasetAssociation objects Loading Loading @@ -282,10 +284,12 @@ def _get_tool_id_for_hda(app, hda_id): # TODO Some datasets don't seem to have an entry in jtod or a copied_from if hda_id is None: return None job = app.sa_session.query(app.model.Job).\ join(app.model.JobToOutputDatasetAssociation).\ filter(app.model.JobToOutputDatasetAssociation.__table__.c.dataset_id == hda_id).first() job = ( app.sa_session.query(app.model.Job) .join(app.model.JobToOutputDatasetAssociation) .filter(app.model.JobToOutputDatasetAssociation.__table__.c.dataset_id == hda_id) .first() ) if job is not None: return job.tool_id else: Loading
scripts/cleanup_datasets/cleanup_datasets.py +100 −65 Original line number Diff line number Diff line Loading @@ -222,14 +222,17 @@ def delete_userless_histories(app, cutoff_time, info_only=False, force_retry=Fal history_count = 0 start = time.time() if force_retry: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.user_id == null(), app.model.History.update_time < cutoff_time)) histories = app.sa_session.query(app.model.History).filter( and_(app.model.History.__table__.c.user_id == null(), app.model.History.update_time < cutoff_time) ) else: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.user_id == null(), histories = app.sa_session.query(app.model.History).filter( and_( app.model.History.__table__.c.user_id == null(), app.model.History.__table__.c.deleted == false(), app.model.History.update_time < cutoff_time)) app.model.History.update_time < cutoff_time, ) ) for history in histories: if not info_only: log.info("Deleting history id %d", history.id) Loading @@ -252,16 +255,23 @@ def purge_histories(app, cutoff_time, remove_from_disk, info_only=False, force_r history_count = 0 start = time.time() if force_retry: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.deleted == true(), app.model.History.update_time < cutoff_time)) \ .options(joinedload('datasets')) histories = ( app.sa_session.query(app.model.History) .filter(and_(app.model.History.__table__.c.deleted == true(), app.model.History.update_time < cutoff_time)) .options(joinedload("datasets")) ) else: histories = app.sa_session.query(app.model.History) \ .filter(and_(app.model.History.__table__.c.deleted == true(), histories = ( app.sa_session.query(app.model.History) .filter( and_( app.model.History.__table__.c.deleted == true(), app.model.History.__table__.c.purged == false(), app.model.History.update_time < cutoff_time)) \ .options(joinedload('datasets')) app.model.History.update_time < cutoff_time, ) ) .options(joinedload("datasets")) ) for history in histories: log.info("### Processing history id %d (%s)", history.id, unicodify(history.name)) for dataset_assoc in history.datasets: Loading Loading @@ -296,14 +306,19 @@ def purge_libraries(app, cutoff_time, remove_from_disk, info_only=False, force_r library_count = 0 start = time.time() if force_retry: libraries = app.sa_session.query(app.model.Library) \ .filter(and_(app.model.Library.__table__.c.deleted == true(), app.model.Library.__table__.c.update_time < cutoff_time)) libraries = app.sa_session.query(app.model.Library).filter( and_( app.model.Library.__table__.c.deleted == true(), app.model.Library.__table__.c.update_time < cutoff_time ) ) else: libraries = app.sa_session.query(app.model.Library) \ .filter(and_(app.model.Library.__table__.c.deleted == true(), libraries = app.sa_session.query(app.model.Library).filter( and_( app.model.Library.__table__.c.deleted == true(), app.model.Library.__table__.c.purged == false(), app.model.Library.__table__.c.update_time < cutoff_time)) app.model.Library.__table__.c.update_time < cutoff_time, ) ) for library in libraries: _purge_folder(library.root_folder, app, remove_from_disk, info_only=info_only) if not info_only: Loading @@ -327,14 +342,20 @@ def purge_folders(app, cutoff_time, remove_from_disk, info_only=False, force_ret folder_count = 0 start = time.time() if force_retry: folders = app.sa_session.query(app.model.LibraryFolder) \ .filter(and_(app.model.LibraryFolder.__table__.c.deleted == true(), app.model.LibraryFolder.__table__.c.update_time < cutoff_time)) folders = app.sa_session.query(app.model.LibraryFolder).filter( and_( app.model.LibraryFolder.__table__.c.deleted == true(), app.model.LibraryFolder.__table__.c.update_time < cutoff_time, ) ) else: folders = app.sa_session.query(app.model.LibraryFolder) \ .filter(and_(app.model.LibraryFolder.__table__.c.deleted == true(), folders = app.sa_session.query(app.model.LibraryFolder).filter( and_( app.model.LibraryFolder.__table__.c.deleted == true(), app.model.LibraryFolder.__table__.c.purged == false(), app.model.LibraryFolder.__table__.c.update_time < cutoff_time)) app.model.LibraryFolder.__table__.c.update_time < cutoff_time, ) ) for folder in folders: _purge_folder(folder, app, remove_from_disk, info_only=info_only) folder_count += 1 Loading @@ -348,30 +369,36 @@ def delete_datasets(app, cutoff_time, remove_from_disk, info_only=False, force_r # Marks datasets as deleted if associated items are all deleted. start = time.time() if force_retry: history_dataset_ids_query = sa.select((app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), history_dataset_ids_query = sa.select( (app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), whereclause=app.model.HistoryDatasetAssociation.__table__.c.update_time < cutoff_time, from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)]) library_dataset_ids_query = sa.select((app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)], ) library_dataset_ids_query = sa.select( (app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), whereclause=app.model.LibraryDataset.__table__.c.update_time < cutoff_time, from_obj=[app.model.LibraryDataset.__table__]) from_obj=[app.model.LibraryDataset.__table__], ) else: # We really only need the id column here, but sqlalchemy barfs when trying to select only 1 column history_dataset_ids_query = sa.select((app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), whereclause=and_(app.model.Dataset.__table__.c.deleted == false(), history_dataset_ids_query = sa.select( (app.model.Dataset.__table__.c.id, app.model.Dataset.__table__.c.state), whereclause=and_( app.model.Dataset.__table__.c.deleted == false(), app.model.HistoryDatasetAssociation.__table__.c.update_time < cutoff_time, app.model.HistoryDatasetAssociation.__table__.c.deleted == true()), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)]) library_dataset_ids_query = sa.select((app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), whereclause=and_(app.model.LibraryDataset.__table__.c.deleted == true(), app.model.HistoryDatasetAssociation.__table__.c.deleted == true(), ), from_obj=[sa.outerjoin(app.model.Dataset.__table__, app.model.HistoryDatasetAssociation.__table__)], ) library_dataset_ids_query = sa.select( (app.model.LibraryDataset.__table__.c.id, app.model.LibraryDataset.__table__.c.deleted), whereclause=and_( app.model.LibraryDataset.__table__.c.deleted == true(), app.model.LibraryDataset.__table__.c.purged == false(), app.model.LibraryDataset.__table__.c.update_time < cutoff_time), from_obj=[app.model.LibraryDataset.__table__]) app.model.LibraryDataset.__table__.c.update_time < cutoff_time, ), from_obj=[app.model.LibraryDataset.__table__], ) deleted_dataset_count = 0 deleted_instance_count = 0 skip = [] Loading Loading @@ -444,16 +471,22 @@ def purge_datasets(app, cutoff_time, remove_from_disk, info_only=False, force_re disk_space = 0 start = time.time() if force_retry: datasets = app.sa_session.query(app.model.Dataset) \ .filter(and_(app.model.Dataset.__table__.c.deleted == true(), datasets = app.sa_session.query(app.model.Dataset).filter( and_( app.model.Dataset.__table__.c.deleted == true(), app.model.Dataset.__table__.c.purgable == true(), app.model.Dataset.__table__.c.update_time < cutoff_time)) app.model.Dataset.__table__.c.update_time < cutoff_time, ) ) else: datasets = app.sa_session.query(app.model.Dataset) \ .filter(and_(app.model.Dataset.__table__.c.deleted == true(), datasets = app.sa_session.query(app.model.Dataset).filter( and_( app.model.Dataset.__table__.c.deleted == true(), app.model.Dataset.__table__.c.purgable == true(), app.model.Dataset.__table__.c.purged == false(), app.model.Dataset.__table__.c.update_time < cutoff_time)) app.model.Dataset.__table__.c.update_time < cutoff_time, ) ) for dataset in datasets: file_size = dataset.file_size _purge_dataset(app, dataset, remove_from_disk, info_only=info_only) Loading Loading @@ -523,12 +556,14 @@ def _delete_dataset(dataset, app, remove_from_disk, info_only=False, is_deletabl metadata_files = [] # lets create a list of metadata files, then perform actions on them for hda in dataset.history_associations: for metadata_file in app.sa_session.query(app.model.MetadataFile) \ .filter(app.model.MetadataFile.__table__.c.hda_id == hda.id): for metadata_file in app.sa_session.query(app.model.MetadataFile).filter( app.model.MetadataFile.__table__.c.hda_id == hda.id ): metadata_files.append(metadata_file) for ldda in dataset.library_associations: for metadata_file in app.sa_session.query(app.model.MetadataFile) \ .filter(app.model.MetadataFile.__table__.c.lda_id == ldda.id): for metadata_file in app.sa_session.query(app.model.MetadataFile).filter( app.model.MetadataFile.__table__.c.lda_id == ldda.id ): metadata_files.append(metadata_file) for metadata_file in metadata_files: op_description = "marked as deleted" Loading