model_config: ClassVar[ConfigDict] = {'extra': 'ignore'}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'created_from_basename': FieldInfo(annotation=Union[str, NoneType], required=False), 'external_filename': FieldInfo(annotation=Union[str, NoneType], required=False), 'file_size': FieldInfo(annotation=Union[int, NoneType], required=False), 'object_store_id': FieldInfo(annotation=Union[str, NoneType], required=False), 'state': FieldInfo(annotation=Union[Annotated[galaxy.schema.schema.DatasetState, BeforeValidator(func=<function <lambda>>), FieldInfo(annotation=NoneType, required=True, title='State', description='The current state of this dataset.')], NoneType], required=False), 'total_size': FieldInfo(annotation=Union[int, NoneType], required=False), 'uuid': FieldInfo(annotation=Union[str, NoneType], required=False)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context: Any) → None

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Args:: self: The BaseModel instance. __context: The context.

class galaxy.model.store.ImportOptions(allow_edit: bool = False, allow_library_creation: bool = False, allow_dataset_object_edit: bool | None = None, discarded_data: ImportDiscardedDataType = ImportDiscardedDataType.FORBID)[source]

Bases: object

__init__(allow_edit: bool = False, allow_library_creation: bool = False, allow_dataset_object_edit: bool | None = None, discarded_data: ImportDiscardedDataType = ImportDiscardedDataType.FORBID) → None[source]

allow_edit: bool

allow_library_creation: bool

allow_dataset_object_edit: bool

discarded_data: ImportDiscardedDataType

class galaxy.model.store.SessionlessContext[source]

Bases: object

__init__() → None[source]

commit() → None[source]

flush() → None[source]

add(obj: RepresentById) → None[source]

query(model_class: RepresentById) → Bunch[source]

get(model_class: RepresentById, primary_key: Any)[source]

galaxy.model.store.replace_metadata_file(metadata: Dict[str, Any], dataset_instance: DatasetInstance, sa_session: SessionlessContext | scoped_session) → Dict[str, Any][source]

class galaxy.model.store.ModelImportStore(import_options: ImportOptions | None = None, app: StoreAppProtocol | None = None, user: User | None = None, object_store: ObjectStore | None = None, tag_handler: GalaxyTagHandlerSession | None = None)[source]

Bases: object

archive_dir: str

__init__(import_options: ImportOptions | None = None, app: StoreAppProtocol | None = None, user: User | None = None, object_store: ObjectStore | None = None, tag_handler: GalaxyTagHandlerSession | None = None) → None[source]

app: StoreAppProtocol | None

abstract workflow_paths() → Iterator[Tuple[str, str]][source]

abstract defines_new_history() → bool[source]: Does this store define a new history to create.

abstract new_history_properties() → Dict[str, Any][source]: Dict of history properties if defines_new_history() is truthy.

abstract datasets_properties() → List[Dict[str, Any]][source]: Return a list of HDA properties.

library_properties() → List[Dict[str, Any]][source]: Return a list of library properties.

abstract invocations_properties() → List[Dict[str, Any]][source]

abstract collections_properties() → List[Dict[str, Any]][source]: Return a list of HDCA properties.

abstract implicit_dataset_conversion_properties() → List[Dict[str, Any]][source]: Return a list of ImplicitlyConvertedDatasetAssociation properties.

abstract jobs_properties() → List[Dict[str, Any]][source]: Return a list of jobs properties.

abstract implicit_collection_jobs_properties() → List[Dict[str, Any]][source]

abstract property object_key: str

Key used to connect objects in metadata.

Legacy exports used ‘hid’ but associated objects may not be from the same history and a history may contain multiple objects with the same ‘hid’.

property file_source_root: str | None: Source of valid file data.

trust_hid(obj_attrs: Dict[str, Any]) → bool[source]: Trust HID when importing objects into a new History.

target_history(default_history: History | None = None, legacy_history_naming: bool = True) → Iterator[History | None][source]

perform_import(history: History | None = None, new_history: bool = False, job: Job | None = None) → ObjectImportTracker[source]

class galaxy.model.store.ObjectImportTracker[source]

Bases: object

Keep track of new and existing imported objects.

Needed to re-establish connections and such in multiple passes.

__init__() → None[source]

libraries_by_key: Dict[str | int, Library]

hdas_by_key: Dict[str | int, HistoryDatasetAssociation]

hdas_by_id: Dict[int, HistoryDatasetAssociation]

hdcas_by_key: Dict[str | int, HistoryDatasetCollectionAssociation]

hdcas_by_id: Dict[int, HistoryDatasetCollectionAssociation]

dces_by_key: Dict[str | int, DatasetCollectionElement]

dces_by_id: Dict[int, DatasetCollectionElement]

lddas_by_key: Dict[str | int, LibraryDatasetDatasetAssociation]

hda_copied_from_sinks: Dict[str | int, str | int]

hdca_copied_from_sinks: Dict[str | int, str | int]

jobs_by_key: Dict[str | int, Job]

requires_hid: List[HistoryDatasetAssociation | HistoryDatasetCollectionAssociation]

copy_hid_for: Dict[HistoryDatasetAssociation | HistoryDatasetCollectionAssociation, HistoryDatasetAssociation | HistoryDatasetCollectionAssociation]

find_hda(input_key: str | int, hda_id: int | None = None) → HistoryDatasetAssociation | None[source]

find_hdca(input_key: str | int) → HistoryDatasetCollectionAssociation | None[source]

find_dce(input_key: str | int) → DatasetCollectionElement | None[source]

exception galaxy.model.store.FileTracebackException(traceback: str, *args, **kwargs)[source]

Bases: Exception

__init__(traceback: str, *args, **kwargs) → None[source]

galaxy.model.store.get_import_model_store_for_directory(archive_dir: str, **kwd) → DirectoryImportModelStore1901 | DirectoryImportModelStoreLatest[source]

class galaxy.model.store.DictImportModelStore(store_as_dict: Dict[str, Any], **kwd)[source]

Bases: ModelImportStore

object_key = 'encoded_id'

__init__(store_as_dict: Dict[str, Any], **kwd) → None[source]

archive_dir: str

defines_new_history() → bool[source]: Does this store define a new history to create.

new_history_properties() → Dict[str, Any][source]: Dict of history properties if defines_new_history() is truthy.

datasets_properties() → List[Dict[str, Any]][source]: Return a list of HDA properties.

collections_properties() → List[Dict[str, Any]][source]: Return a list of HDCA properties.

implicit_dataset_conversion_properties() → List[Dict[str, Any]][source]: Return a list of ImplicitlyConvertedDatasetAssociation properties.

library_properties() → List[Dict[str, Any]][source]: Return a list of library properties.

jobs_properties() → List[Dict[str, Any]][source]: Return a list of jobs properties.

implicit_collection_jobs_properties() → List[Dict[str, Any]][source]

invocations_properties() → List[Dict[str, Any]][source]

workflow_paths() → Iterator[Tuple[str, str]][source]

app: StoreAppProtocol | None

galaxy.model.store.get_import_model_store_for_dict(as_dict: Dict[str, Any], **kwd) → DictImportModelStore[source]

class galaxy.model.store.BaseDirectoryImportModelStore(import_options: ImportOptions | None = None, app: StoreAppProtocol | None = None, user: User | None = None, object_store: ObjectStore | None = None, tag_handler: GalaxyTagHandlerSession | None = None)[source]

Bases: ModelImportStore

property file_source_root: str: Source of valid file data.

defines_new_history() → bool[source]: Does this store define a new history to create.

new_history_properties() → Dict[str, Any][source]: Dict of history properties if defines_new_history() is truthy.

datasets_properties() → List[Dict[str, Any]][source]: Return a list of HDA properties.

collections_properties() → List[Dict[str, Any]][source]: Return a list of HDCA properties.

implicit_dataset_conversion_properties() → List[Dict[str, Any]][source]: Return a list of ImplicitlyConvertedDatasetAssociation properties.

library_properties() → List[Dict[str, Any]][source]: Return a list of library properties.

jobs_properties() → List[Dict[str, Any]][source]: Return a list of jobs properties.

implicit_collection_jobs_properties() → List[Dict[str, Any]][source]

invocations_properties() → List[Dict[str, Any]][source]

workflow_paths() → Iterator[Tuple[str, str]][source]

app: StoreAppProtocol | None

archive_dir: str

galaxy.model.store.restore_times(model_object: Job | WorkflowInvocation | WorkflowInvocationStep, attrs: Dict[str, Any]) → None[source]

class galaxy.model.store.DirectoryImportModelStore1901(archive_dir: str, **kwd)[source]

Bases: BaseDirectoryImportModelStore

object_key = 'hid'

__init__(archive_dir: str, **kwd) → None[source]

archive_dir: str

trust_hid(obj_attrs: Dict[str, Any]) → bool[source]: Trust HID when importing objects into a new History.

app: StoreAppProtocol | None

class galaxy.model.store.DirectoryImportModelStoreLatest(archive_dir: str, **kwd)[source]

Bases: BaseDirectoryImportModelStore

object_key = 'encoded_id'

__init__(archive_dir: str, **kwd) → None[source]

archive_dir: str

app: StoreAppProtocol | None

class galaxy.model.store.BagArchiveImportModelStore(bag_archive: str, **kwd)[source]

Bases: DirectoryImportModelStoreLatest

__init__(bag_archive: str, **kwd) → None[source]

app: StoreAppProtocol | None

archive_dir: str

class galaxy.model.store.ModelExportStore[source]

Bases: object

abstract export_history(history: History, include_hidden: bool = False, include_deleted: bool = False) → None[source]: Export history to store.

abstract export_library(library: Library, include_hidden: bool = False, include_deleted: bool = False) → None[source]: Export library to store.

abstract export_library_folder(library_folder: LibraryFolder, include_hidden: bool = False, include_deleted: bool = False) → None[source]: Export library folder to store.

abstract export_workflow_invocation(workflow_invocation, include_hidden=False, include_deleted=False)[source]: Export workflow invocation to store.

abstract add_dataset_collection(collection: DatasetCollection | HistoryDatasetCollectionAssociation)[source]: Add Dataset Collection or HDCA to export store.

abstract add_dataset(dataset: DatasetInstance, include_files: bool = True)[source]

Add HDA to export store.

include_files controls whether file contents are exported as well.

class galaxy.model.store.DirectoryModelExportStore(export_directory: str | PathLike, app: StoreAppProtocol | None = None, file_sources: ConfiguredFileSources | None = None, for_edit: bool = False, serialize_dataset_objects: bool | None = None, export_files: str | None = None, strip_metadata_files: bool = True, serialize_jobs: bool = True, user_context=None)[source]

Bases: ModelExportStore

__init__(export_directory: str | PathLike, app: StoreAppProtocol | None = None, file_sources: ConfiguredFileSources | None = None, for_edit: bool = False, serialize_dataset_objects: bool | None = None, export_files: str | None = None, strip_metadata_files: bool = True, serialize_jobs: bool = True, user_context=None) → None[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

app: StoreAppProtocol | None

file_sources: ConfiguredFileSources | None

property workflows_directory: str

serialize_files(dataset: DatasetInstance, as_dict: Dict[str, Any]) → None[source]

exported_key(obj: RepresentById) → str | int[source]

push_metadata_files()[source]

export_job(job: Job, tool=None, include_job_data=True)[source]

export_jobs(jobs: Iterable[Job], jobs_attrs: List[Dict[str, Any]] | None = None, include_job_data: bool = True) → List[Dict[str, Any]][source]

Export jobs.

include_job_data determines whether datasets associated with jobs should be exported as well. This should generally be True, except when re-exporting a job (to store the generated command line) when running the set_meta script.

export_history(history: History, include_hidden: bool = False, include_deleted: bool = False) → None[source]: Export history to store.

export_library(library: Library, include_hidden: bool = False, include_deleted: bool = False) → None[source]: Export library to store.

export_library_folder(library_folder: LibraryFolder, include_hidden=False, include_deleted=False)[source]: Export library folder to store.

export_library_folder_contents(library_folder: LibraryFolder, include_hidden: bool = False, include_deleted: bool = False) → None[source]

export_workflow_invocation(workflow_invocation: WorkflowInvocation, include_hidden: bool = False, include_deleted: bool = False) → None[source]: Export workflow invocation to store.

add_job_output_dataset_associations(job_id: int, name: str, dataset_instance: DatasetInstance) → None[source]

export_collection(collection: DatasetCollection | HistoryDatasetCollectionAssociation, include_deleted: bool = False, include_hidden: bool = False) → None[source]

add_dataset_collection(collection: DatasetCollection | HistoryDatasetCollectionAssociation) → None[source]: Add Dataset Collection or HDCA to export store.

add_implicit_conversion_dataset(dataset: DatasetInstance, include_files: bool, conversion: ImplicitlyConvertedDatasetAssociation) → None[source]

add_dataset(dataset: DatasetInstance, include_files: bool = True) → None[source]

Add HDA to export store.

include_files controls whether file contents are exported as well.

class galaxy.model.store.WriteCrates[source]

Bases: object

included_invocations: List[WorkflowInvocation]

export_directory: str | PathLike

included_datasets: Dict[DatasetInstance, Tuple[DatasetInstance, bool]]

dataset_implicit_conversions: Dict[DatasetInstance, ImplicitlyConvertedDatasetAssociation]

dataset_id_to_path: Dict[int, Tuple[str | None, str | None]]

abstract property workflows_directory: str

class galaxy.model.store.WorkflowInvocationOnlyExportStore(export_directory: str | PathLike, app: StoreAppProtocol | None = None, file_sources: ConfiguredFileSources | None = None, for_edit: bool = False, serialize_dataset_objects: bool | None = None, export_files: str | None = None, strip_metadata_files: bool = True, serialize_jobs: bool = True, user_context=None)[source]

Bases: DirectoryModelExportStore

export_history(history: History, include_hidden: bool = False, include_deleted: bool = False)[source]: Export history to store.

export_library(history, include_hidden=False, include_deleted=False)[source]: Export library to store.

property only_invocation: WorkflowInvocation

app: StoreAppProtocol | None

file_sources: ConfiguredFileSources | None

included_datasets: Dict[DatasetInstance, Tuple[DatasetInstance, bool]]

dataset_implicit_conversions: Dict[DatasetInstance, ImplicitlyConvertedDatasetAssociation]

included_collections: Dict[DatasetCollection | HistoryDatasetCollectionAssociation, DatasetCollection | HistoryDatasetCollectionAssociation]

included_libraries: List[Library]

included_library_folders: List[LibraryFolder]

included_invocations: List[WorkflowInvocation]

collection_datasets: Set[int]

dataset_id_to_path: Dict[int, Tuple[str | None, str | None]]

job_output_dataset_associations: Dict[int, Dict[str, DatasetInstance]]

class galaxy.model.store.BcoExportOptions(galaxy_url: str, galaxy_version: str, merge_history_metadata: bool = False, override_environment_variables: Dict[str, str] | NoneType = None, override_empirical_error: Dict[str, str] | NoneType = None, override_algorithmic_error: Dict[str, str] | NoneType = None, override_xref: List[galaxy.schema.bco.description_domain.XrefItem] | NoneType = None)[source]

Bases: object

galaxy_url: str

galaxy_version: str

merge_history_metadata: bool = False

override_environment_variables: Dict[str, str] | None = None

override_empirical_error: Dict[str, str] | None = None

override_algorithmic_error: Dict[str, str] | None = None

override_xref: List[XrefItem] | None = None

__init__(galaxy_url: str, galaxy_version: str, merge_history_metadata: bool = False, override_environment_variables: Dict[str, str] | None = None, override_empirical_error: Dict[str, str] | None = None, override_algorithmic_error: Dict[str, str] | None = None, override_xref: List[XrefItem] | None = None) → None

class galaxy.model.store.BcoModelExportStore(uri, export_options: BcoExportOptions, **kwds)[source]

Bases: WorkflowInvocationOnlyExportStore

__init__(uri, export_options: BcoExportOptions, **kwds)[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

app: StoreAppProtocol | None

file_sources: ConfiguredFileSources | None

included_datasets: Dict[DatasetInstance, Tuple[DatasetInstance, bool]]

dataset_implicit_conversions: Dict[DatasetInstance, ImplicitlyConvertedDatasetAssociation]

included_collections: Dict[DatasetCollection | HistoryDatasetCollectionAssociation, DatasetCollection | HistoryDatasetCollectionAssociation]

included_libraries: List[Library]

included_library_folders: List[LibraryFolder]

included_invocations: List[WorkflowInvocation]

collection_datasets: Set[int]

dataset_id_to_path: Dict[int, Tuple[str | None, str | None]]

job_output_dataset_associations: Dict[int, Dict[str, DatasetInstance]]

class galaxy.model.store.ROCrateModelExportStore(crate_directory: str | PathLike, **kwds)[source]

Bases: DirectoryModelExportStore, WriteCrates

__init__(crate_directory: str | PathLike, **kwds) → None[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

app: StoreAppProtocol | None

file_sources: ConfiguredFileSources | None

included_datasets: Dict[DatasetInstance, Tuple[DatasetInstance, bool]]

dataset_implicit_conversions: Dict[DatasetInstance, ImplicitlyConvertedDatasetAssociation]

included_collections: Dict[DatasetCollection | HistoryDatasetCollectionAssociation, DatasetCollection | HistoryDatasetCollectionAssociation]

included_libraries: List[Library]

included_library_folders: List[LibraryFolder]

included_invocations: List[WorkflowInvocation]

collection_datasets: Set[int]

dataset_id_to_path: Dict[int, Tuple[str | None, str | None]]

job_output_dataset_associations: Dict[int, Dict[str, DatasetInstance]]

class galaxy.model.store.ROCrateArchiveModelExportStore(uri: str | PathLike, **kwds)[source]

Bases: DirectoryModelExportStore, WriteCrates

__init__(uri: str | PathLike, **kwds) → None[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

out_file: str | PathLike

file_source_uri: str | PathLike | None

class galaxy.model.store.TarModelExportStore(uri: str | PathLike, gzip: bool = True, **kwds)[source]

Bases: DirectoryModelExportStore

__init__(uri: str | PathLike, gzip: bool = True, **kwds) → None[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

out_file: str | PathLike

file_source_uri: str | PathLike | None

class galaxy.model.store.BagDirectoryModelExportStore(out_directory: str, **kwds)[source]

Bases: DirectoryModelExportStore

app: StoreAppProtocol | None

file_sources: ConfiguredFileSources | None

included_datasets: Dict[DatasetInstance, Tuple[DatasetInstance, bool]]

dataset_implicit_conversions: Dict[DatasetInstance, ImplicitlyConvertedDatasetAssociation]

included_collections: Dict[DatasetCollection | HistoryDatasetCollectionAssociation, DatasetCollection | HistoryDatasetCollectionAssociation]

included_libraries: List[Library]

included_library_folders: List[LibraryFolder]

included_invocations: List[WorkflowInvocation]

collection_datasets: Set[int]

dataset_id_to_path: Dict[int, Tuple[str | None, str | None]]

job_output_dataset_associations: Dict[int, Dict[str, DatasetInstance]]

__init__(out_directory: str, **kwds) → None[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

class galaxy.model.store.BagArchiveModelExportStore(uri: str | PathLike, bag_archiver: str = 'tgz', **kwds)[source]

Bases: BagDirectoryModelExportStore

__init__(uri: str | PathLike, bag_archiver: str = 'tgz', **kwds) → None[source]

Parameters:

export_directory – path to export directory. Will be created if it does not exist.
app – Galaxy App or app-like object. Must be provided if for_edit and/or serialize_dataset_objects are True
for_edit – Allow modifying existing HDA and dataset metadata during import.
serialize_dataset_objects – If True will encode IDs using the host secret. Defaults for_edit.
export_files – How files should be exported, can be ‘symlink’, ‘copy’ or None, in which case files will not be serialized.
serialize_jobs – Include job data in model export. Not needed for set_metadata script.

file_source_uri: str | PathLike | None

galaxy.model.store.get_export_store_factory(app, download_format: str, export_files=None, bco_export_options: BcoExportOptions | None = None, user_context=None) → Callable[[str | PathLike], ModelExportStore][source]

galaxy.model.store.tar_export_directory(export_directory: str | PathLike, out_file: str | PathLike, gzip: bool) → None[source]

galaxy.model.store.get_export_dataset_filename(name: str, ext: str, encoded_id: str, conversion_key: str | None) → str[source]: Builds a filename for a dataset using its name an extension.

galaxy.model.store.get_export_dataset_extra_files_dir_name(encoded_id: str, conversion_key: str | None) → str[source]

galaxy.model.store.imported_store_for_metadata(directory: str, object_store: ObjectStore | None = None) → BaseDirectoryImportModelStore[source]

galaxy.model.store.source_to_import_store(source: str | dict, app: StoreAppProtocol, import_options: ImportOptions | None, model_store_format: ModelStoreFormat | None = None, user_context=None) → ModelImportStore[source]

galaxy.model.store.payload_to_source_uri(payload) → str[source]

galaxy.model.store.copy_dataset_instance_metadata_attributes(source: DatasetInstance, target: DatasetInstance) → None[source]

Submodules

galaxy.model.store.build_objects module

galaxy.model.store.build_objects.main(argv=None)[source]

galaxy.model.store.discover module

Utilities for discovering files to add to a model store.

Working with input “JSON” format used for Fetch API, galaxy.json imports, etc… High-level utilities in this file can be used during job output discovery or for persisting Galaxy model objects corresponding to files in other contexts.

exception galaxy.model.store.discover.MaxDiscoveredFilesExceededError[source]: Bases: ValueError

class galaxy.model.store.discover.ModelPersistenceContext[source]

Bases: object

Class for creating datasets while finding files.

This class implement the create_dataset method that takes care of populating metadata required for datasets and other potential model objects.

job_working_directory: str

max_discovered_files = inf

discovered_file_count: int

get_job() → Job | None[source]

create_dataset(ext, designation, visible, dbkey, name, filename=None, extra_files=None, metadata_source_name=None, info=None, library_folder=None, link_data=False, primary_data=None, init_from=None, dataset_attributes=None, tag_list=None, sources=None, hashes=None, created_from_basename=None, final_job_state='ok', creating_job_id=None, output_name=None, storage_callbacks=None, purged=False)[source]

finalize_storage(primary_data, dataset_attributes, extra_files, filename, link_data, output_name, init_from)[source]

static set_datasets_metadata(datasets, datasets_attributes=None)[source]

populate_collection_elements(collection, root_collection_builder, discovered_files, name=None, metadata_source_name=None, final_job_state='ok', change_datatype_actions=None)[source]

add_tags_to_datasets(datasets, tag_lists)[source]

update_object_store_with_datasets(datasets, paths, extra_files, output_name)[source]

abstract property tag_handler: Return a galaxy.model.tags.TagHandler-like object for persisting tags.

abstract property user

If bound to a database, return the user the datasets should be created for.

Return None otherwise.

abstract property sa_session: scoped_session | None

If bound to a database, return the SQL Alchemy session.

Return None otherwise.

abstract property permission_provider: PermissionProvider

If bound to a database, return the SQL Alchemy session.

Return None otherwise.

get_implicit_collection_jobs_association_id() → str | None[source]: No-op, no job context.

abstract property job: Job | None: Return associated job object if bound to a job finish context connected to a database.

override_object_store_id(output_name: str | None = None) → str | None[source]: Object store ID to assign to a dataset before populating its contents.

abstract property metadata_source_provider: MetadataSourceProvider: Return associated MetadataSourceProvider object.

abstract property object_store: ObjectStore: Return object store to use for populating discovered dataset contents.

abstract property flush_per_n_datasets: int | None

property input_dbkey: str

abstract add_library_dataset_to_folder(library_folder, ld)[source]: Add library dataset to persisted library folder.

abstract create_library_folder(parent_folder, name, description)[source]: Create a library folder ready from supplied attributes for supplied parent.

abstract add_output_dataset_association(name, dataset)[source]: If discovering outputs for a job, persist output dataset association.

abstract add_datasets_to_history(datasets, for_output_dataset=None)[source]: Add datasets to the history this context points at.

job_id()[source]

abstract persist_object(obj)[source]: Add the target to the persistence layer.

persist_library_folder(library_folder: LibraryFolder) → None[source]: Add library folder to sessionless export. Noop for session export.

abstract flush()[source]: If database bound, flush the persisted objects to ensure IDs.

increment_discovered_file_count()[source]

class galaxy.model.store.discover.PermissionProvider[source]

Bases: object

Interface for working with permissions while importing datasets with ModelPersistenceContext.

property permissions

set_default_hda_permissions(primary_data)[source]

abstract copy_dataset_permissions(init_from, primary_data)[source]: Copy dataset permissions from supplied input dataset.

class galaxy.model.store.discover.UnusedPermissionProvider[source]

Bases: PermissionProvider

copy_dataset_permissions(init_from, primary_data)[source]

Throws NotImplementedError.

This should only be called as part of job output collection where there should be a session available to initialize this from.

class galaxy.model.store.discover.MetadataSourceProvider[source]

Bases: object

Interface for working with fetching input dataset metadata with ModelPersistenceContext.

abstract get_metadata_source(input_name)[source]: Get metadata for supplied input_name.

class galaxy.model.store.discover.UnusedMetadataSourceProvider[source]

Bases: MetadataSourceProvider

get_metadata_source(input_name)[source]

Throws NotImplementedError.

This should only be called as part of job output collection where one can actually collect metadata from inputs, this is unused in the context of SessionlessModelPersistenceContext.

class galaxy.model.store.discover.SessionlessModelPersistenceContext(object_store, export_store: ModelExportStore, working_directory: str)[source]

Bases: ModelPersistenceContext

A variant of ModelPersistenceContext that persists to an export store instead of database directly.

__init__(object_store, export_store: ModelExportStore, working_directory: str) → None[source]

discovered_file_count: int

job_working_directory: str

property tag_handler: Return a galaxy.model.tags.TagHandler-like object for persisting tags.

property sa_session

If bound to a database, return the SQL Alchemy session.

Return None otherwise.

property user

If bound to a database, return the user the datasets should be created for.

Return None otherwise.

property job: Return associated job object if bound to a job finish context connected to a database.

property permission_provider: UnusedPermissionProvider

If bound to a database, return the SQL Alchemy session.

Return None otherwise.

property metadata_source_provider: UnusedMetadataSourceProvider: Return associated MetadataSourceProvider object.

property object_store: ObjectStore: Return object store to use for populating discovered dataset contents.

property flush_per_n_datasets: int | None

add_tags_to_datasets(datasets, tag_lists)[source]

add_library_dataset_to_folder(library_folder, ld)[source]: Add library dataset to persisted library folder.

get_library_folder(destination)[source]

get_hdca(object_id)[source]

create_hdca(name, structure)[source]

create_library_folder(parent_folder, name, description)[source]: Create a library folder ready from supplied attributes for supplied parent.

persist_library_folder(library_folder: LibraryFolder) → None[source]: Add library folder to sessionless export. Noop for session export.

add_datasets_to_history(datasets, for_output_dataset=None)[source]: Add datasets to the history this context points at.

persist_object(obj)[source]

No-op right now for the sessionless variant of this.

This works currently because either things are added to a target history with add_datasets_to_history or the parent LibraryFolder was added to the export store in persist_target_to_export_store.

flush()[source]: No-op for the sessionless variant of this, no database to flush.

add_output_dataset_association(name, dataset)[source]: No-op, no job context to persist this association for.

get_implicit_collection_jobs_association_id()[source]: No-op, no job context.

galaxy.model.store.discover.persist_target_to_export_store(target_dict, export_store, object_store, work_directory)[source]

galaxy.model.store.discover.persist_elements_to_hdca(model_persistence_context: ModelPersistenceContext, elements, hdca, collector=None)[source]

galaxy.model.store.discover.persist_elements_to_folder(model_persistence_context, elements, library_folder)[source]

galaxy.model.store.discover.persist_hdas(elements, model_persistence_context, final_job_state='ok')[source]

galaxy.model.store.discover.get_required_item(from_dict, key, message)[source]

galaxy.model.store.discover.validate_and_normalize_target(obj)[source]

galaxy.model.store.discover.replace_request_syntax_sugar(obj)[source]

class galaxy.model.store.discover.DiscoveredFile(path, collector, match)[source]

Bases: tuple

path: str: Alias for field number 0

collector: DatasetCollector | ToolMetadataDatasetCollector | None: Alias for field number 1

match: JsonCollectedDatasetMatch: Alias for field number 2

discovered_state(element: Dict[str, Any], final_job_state='ok') → DiscoveredResultState[source]

class galaxy.model.store.discover.DiscoveredResultState(info, state)[source]

Bases: tuple

info: str | None: Alias for field number 0

state: str: Alias for field number 1

class galaxy.model.store.discover.DiscoveredDeferredFile(collector, match)[source]

Bases: tuple

collector: DatasetCollector | ToolMetadataDatasetCollector | None: Alias for field number 0

match: JsonCollectedDatasetMatch: Alias for field number 1

discovered_state(element: Dict[str, Any], final_job_state='ok') → DiscoveredResultState[source]

property path

galaxy.model.store.discover.discovered_file_for_element(dataset, model_persistence_context: ModelPersistenceContext, parent_identifiers=None, collector=None) → DiscoveredFile | DiscoveredDeferredFile | DiscoveredFileError[source]

galaxy.model.store.discover.discover_target_directory(dir_name, job_working_directory)[source]

class galaxy.model.store.discover.JsonCollectedDatasetMatch(as_dict, collector: DatasetCollector | ToolMetadataDatasetCollector | None, filename, path=None, parent_identifiers=None)[source]

Bases: object

__init__(as_dict, collector: DatasetCollector | ToolMetadataDatasetCollector | None, filename, path=None, parent_identifiers=None)[source]

property designation

property element_identifiers

property raw_element_identifiers

property name: Return name or None if not defined by the discovery pattern.

property dbkey: str

property ext: str

property visible: bool

property link_data

property tag_list

property object_id

property sources

property hashes

property created_from_basename

property extra_files

property effective_state

class galaxy.model.store.discover.RegexCollectedDatasetMatch(re_match, collector: DatasetCollector | ToolMetadataDatasetCollector | None, filename, path=None)[source]

Bases: JsonCollectedDatasetMatch

__init__(re_match, collector: DatasetCollector | ToolMetadataDatasetCollector | None, filename, path=None)[source]

class galaxy.model.store.discover.DiscoveredFileError(error_message, collector, match, path)[source]

Bases: tuple

error_message: str: Alias for field number 0

collector: DatasetCollector | ToolMetadataDatasetCollector | None: Alias for field number 1

match: JsonCollectedDatasetMatch: Alias for field number 2

path: str | None: Alias for field number 3

discovered_state(element: Dict[str, Any], final_job_state='ok') → DiscoveredResultState[source]

galaxy.model.store.load_objects module

galaxy.model.store.load_objects.main(argv=None)[source]