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Elements Worker

arkindex_worker.worker

Base classes to implement Arkindex workers.

Classes

ActivityState

Bases: Enum

Processing state of an element.

Attributes
Queued class-attribute instance-attribute
Queued = 'queued'

The element has not yet been processed by a worker.

Started class-attribute instance-attribute
Started = 'started'

The element is being processed by a worker.

Processed class-attribute instance-attribute
Processed = 'processed'

The element has been successfully processed by a worker.

Error class-attribute instance-attribute
Error = 'error'

An error occurred while processing this element.

ElementsWorker

ElementsWorker(
    description="Arkindex Elements Worker",
    support_cache=False,
)

Bases: BaseWorker, ClassificationMixin, ElementMixin, TranscriptionMixin, WorkerVersionMixin, EntityMixin, MetaDataMixin

Base class for ML workers that operate on Arkindex elements.

This class inherits from numerous mixin classes found in other modules of arkindex.worker, which provide helpers to read and write to the Arkindex API.

Parameters:

Name Type Description Default
description str

The worker’s description

'Arkindex Elements Worker'
support_cache bool

Whether the worker supports cache

False
Source code in arkindex_worker/worker/__init__.py
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def __init__(
    self, description: str = "Arkindex Elements Worker", support_cache: bool = False
):
    """
    :param description: The worker's description
    :param support_cache: Whether the worker supports cache
    """
    super().__init__(description, support_cache)

    # Add mandatory argument to process elements
    self.parser.add_argument(
        "--elements-list",
        help="JSON elements list to use",
        type=open,
        default=os.environ.get("TASK_ELEMENTS"),
    )
    self.parser.add_argument(
        "--element",
        type=uuid.UUID,
        nargs="+",
        help="One or more Arkindex element ID",
    )

    self.classes = {}

    self.entity_types = {}
    """Known and available entity types in processed corpus
    """

    self._worker_version_cache = {}
Attributes
entity_types instance-attribute
entity_types = {}

Known and available entity types in processed corpus

store_activity property
store_activity: bool

Whether or not WorkerActivity support has been enabled on the DataImport used to run this worker.

Functions
list_elements
list_elements()

List the elements to be processed, either from the CLI arguments or the cache database when enabled.

Returns:

Type Description
Union[Iterable[CachedElement], List[str]]

An iterable of CachedElement when cache support is enabled, and a list of strings representing element IDs otherwise.

Source code in arkindex_worker/worker/__init__.py
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def list_elements(self) -> Union[Iterable[CachedElement], List[str]]:
    """
    List the elements to be processed, either from the CLI arguments or
    the cache database when enabled.

    :return: An iterable of [CachedElement][arkindex_worker.cache.CachedElement] when cache support is enabled,
       and a list of strings representing element IDs otherwise.
    """
    assert not (
        self.args.elements_list and self.args.element
    ), "elements-list and element CLI args shouldn't be both set"
    out = []

    # Load from the cache when available
    # Flake8 wants us to use 'is True', but Peewee only supports '== True'
    cache_query = CachedElement.select().where(
        CachedElement.initial == True  # noqa: E712
    )
    if self.use_cache and cache_query.exists():
        return cache_query
    # Process elements from JSON file
    elif self.args.elements_list:
        data = json.load(self.args.elements_list)
        assert isinstance(data, list), "Elements list must be a list"
        assert len(data), "No elements in elements list"
        out += list(filter(None, [element.get("id") for element in data]))
    # Add any extra element from CLI
    elif self.args.element:
        out += self.args.element

    return out
configure
configure()

Setup the worker using CLI arguments and environment variables.

Source code in arkindex_worker/worker/__init__.py
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def configure(self):
    """
    Setup the worker using CLI arguments and environment variables.
    """
    # CLI args are stored on the instance so that implementations can access them
    self.args = self.parser.parse_args()

    if self.is_read_only:
        super().configure_for_developers()
    else:
        super().configure()
        super().configure_cache()

    # Add report concerning elements
    self.report = Reporter(
        **self.worker_details, version=getattr(self, "worker_version_id", None)
    )
run
run()

Implements an Arkindex worker that goes through each element returned by list_elements. It calls process_element, catching exceptions and reporting them using the Reporter, and handles saving the report once the process is complete as well as WorkerActivity updates when enabled.

Source code in arkindex_worker/worker/__init__.py
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def run(self):
    """
    Implements an Arkindex worker that goes through each element returned by
    [list_elements][arkindex_worker.worker.ElementsWorker.list_elements]. It calls [process_element][arkindex_worker.worker.ElementsWorker.process_element], catching exceptions
    and reporting them using the [Reporter][arkindex_worker.reporting.Reporter], and handles saving the report
    once the process is complete as well as WorkerActivity updates when enabled.
    """
    self.configure()

    # List all elements either from JSON file
    # or direct list of elements on CLI
    elements = self.list_elements()
    if not elements:
        logger.warning("No elements to process, stopping.")
        sys.exit(1)

    if not self.store_activity:
        logger.info(
            "No worker activity will be stored as it is disabled for this process"
        )

    # Process every element
    count = len(elements)
    failed = 0
    for i, item in enumerate(elements, start=1):
        element = None
        try:
            if self.use_cache:
                # Just use the result of list_elements as the element
                element = item
            else:
                # Load element using the Arkindex API
                element = Element(**self.request("RetrieveElement", id=item))

            logger.info(f"Processing {element} ({i}/{count})")

            # Process the element and report its progress if activities are enabled
            if self.update_activity(element.id, ActivityState.Started):
                self.process_element(element)
                self.update_activity(element.id, ActivityState.Processed)
            else:
                logger.info(
                    f"Skipping element {element.id} as it was already processed"
                )
                continue
        except Exception as e:
            # Handle errors occurring while retrieving, processing or patching the activity for this element.
            # Count the element as failed in case the activity update to "started" failed with no conflict.
            # This prevent from processing the element
            failed += 1

            # Handle the case where we failed retrieving the element
            element_id = element.id if element else item

            if isinstance(e, ErrorResponse):
                message = f"An API error occurred while processing element {element_id}: {e.title} - {e.content}"
            else:
                message = (
                    f"Failed running worker on element {element_id}: {repr(e)}"
                )

            logger.warning(
                message,
                exc_info=e if self.args.verbose else None,
            )
            if element:
                # Try to update the activity to error state regardless of the response
                try:
                    self.update_activity(element.id, ActivityState.Error)
                except Exception:
                    pass
            self.report.error(element_id, e)

    # Save report as local artifact
    self.report.save(self.work_dir / "ml_report.json")

    if failed:
        logger.error(
            "Ran on {} elements: {} completed, {} failed".format(
                count, count - failed, failed
            )
        )
        if failed >= count:  # Everything failed!
            sys.exit(1)
process_element
process_element(element)

Override this method to implement your worker and process a single Arkindex element at once.

Parameters:

Name Type Description Default
element Union[Element, CachedElement]

The element to process. Will be a CachedElement instance if cache support is enabled, and an Element instance otherwise.

required
Source code in arkindex_worker/worker/__init__.py
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def process_element(self, element: Union[Element, CachedElement]):
    """
    Override this method to implement your worker and process a single Arkindex element at once.

    :param element: The element to process.
       Will be a CachedElement instance if cache support is enabled,
       and an Element instance otherwise.
    """
update_activity
update_activity(element_id, state)

Update the WorkerActivity for this element and worker.

Parameters:

Name Type Description Default
element_id Union[str, uuid.UUID]

ID of the element.

required
state ActivityState

New WorkerActivity state for this element.

required

Returns:

Type Description
bool

True if the update has been successful or WorkerActivity support is disabled. False if the update has failed due to a conflict; this worker might have already processed this element.

Source code in arkindex_worker/worker/__init__.py
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def update_activity(
    self, element_id: Union[str, uuid.UUID], state: ActivityState
) -> bool:
    """
    Update the WorkerActivity for this element and worker.

    :param element_id: ID of the element.
    :param state: New WorkerActivity state for this element.
    :returns: True if the update has been successful or WorkerActivity support is disabled.
       False if the update has failed due to a conflict; this worker might have already processed
       this element.
    """
    if not self.store_activity:
        logger.debug(
            "Activity is not stored as the feature is disabled on this process"
        )
        return True

    assert element_id and isinstance(
        element_id, (uuid.UUID, str)
    ), "element_id shouldn't be null and should be an UUID or str"
    assert isinstance(state, ActivityState), "state should be an ActivityState"

    try:
        self.request(
            "UpdateWorkerActivity",
            id=self.worker_run_id,
            body={
                "element_id": str(element_id),
                "process_id": self.process_information["id"],
                "state": state.value,
            },
        )
    except ErrorResponse as e:
        if state == ActivityState.Started and e.status_code == 409:
            # 409 conflict error when updating the state of an activity to "started" mean that we
            # cannot process this element. We assume that the reason is that the state transition
            # was forbidden i.e. that the activity was already in a started or processed state.
            # This allow concurrent access to an element activity between multiple processes.
            # Element should not be counted as failed as it is probably handled somewhere else.
            logger.debug(
                f"Cannot start processing element {element_id} due to a conflict. "
                f"Another process could have processed it with the same version already."
            )
            return False
        logger.warning(
            f"Failed to update activity of element {element_id} to {state.value} due to an API error: {e.content}"
        )
        raise e

    logger.debug(f"Updated activity of element {element_id} to {state}")
    return True