feat(utils): add a workflow runner utility

docs/conf.py

@@ -56,6 +56,9 @@
 nitpicky = True
 
 nitpick_ignore = [
+    ("py:attr", "sghi.etl.core.WorkflowDefinition.processor_factory"),  # docs aren't published yet
+    ("py:attr", "sghi.etl.core.WorkflowDefinition.sink_factory"),  # docs aren't published yet
+    ("py:attr", "sghi.etl.core.WorkflowDefinition.source_factory"),  # docs aren't published yet
     ("py:class", "_RDT"),  # private type annotations
     ("py:class", "_PDT"),  # private type annotations
     ("py:class", "Executor"),  # sphinx can't find it
@@ -85,6 +88,7 @@
     ("py:exc", "ResourceDisposedError"),  # docs aren't published yet
     ("py:exc", "sghi.disposable.ResourceDisposedError"),  # docs aren't published yet
     ("py:func", "sghi.disposable.not_disposed"),  # docs aren't published yet
+    ("py:meth", "sghi.etl.core.Source.draw"),  # docs aren't published yet
     ("py:obj", "sghi.etl.commons.processors._PDT"),  # private type annotations
     ("py:obj", "sghi.etl.commons.processors._RDT"),  # private type annotations
     ("py:obj", "sghi.etl.commons.sinks._PDT"),  # private type annotations

src/sghi/etl/commons/__init__.py

@@ -10,7 +10,7 @@
 )
 from .sinks import NullSink, ScatterSink, SplitSink, sink
 from .sources import GatherSource, source
-from .utils import fail_fast, fail_fast_factory, ignored_failed
+from .utils import fail_fast, fail_fast_factory, ignored_failed, run_workflow
 from .workflow_definitions import SimpleWorkflowDefinition
 
 __all__ = [
@@ -28,6 +28,7 @@
     "ignored_failed",
     "pipe_processors",
     "processor",
+    "run_workflow",
     "sink",
     "source",
 ]

src/sghi/etl/commons/utils/__init__.py

@@ -1,9 +1,11 @@
 """Common utilities."""
 
+from .others import run_workflow
 from .result_gatherers import fail_fast, fail_fast_factory, ignored_failed
 
 __all__ = [
     "fail_fast",
     "fail_fast_factory",
     "ignored_failed",
+    "run_workflow",
 ]

src/sghi/etl/commons/utils/others.py

@@ -0,0 +1,105 @@
+"""Other useful utilities."""
+
+from __future__ import annotations
+
+import logging
+from logging import Logger
+from typing import TYPE_CHECKING, Final, TypeVar
+
+from sghi.utils import ensure_callable
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from sghi.etl.core import WorkflowDefinition
+
+# =============================================================================
+# TYPES
+# =============================================================================
+
+
+_PDT = TypeVar("_PDT")
+"""Type variable representing the data type after processing."""
+
+_RDT = TypeVar("_RDT")
+"""Type variable representing the raw data type."""
+
+
+# =============================================================================
+# CONSTANTS
+# =============================================================================
+
+
+_WORKFLOW_RUNNER_LOGGER: Final[Logger] = logging.getLogger(
+    name=f"{__name__}.run_workflow",
+)
+
+
+# =============================================================================
+# UTILITIES
+# =============================================================================
+
+
+def run_workflow(wf: Callable[[], WorkflowDefinition[_RDT, _PDT]]) -> None:
+    """Execute an ETL :class:`Workflow<WorkflowDefinition>`.
+
+    This function accepts a factory function that supplies an ETL
+    ``WorkflowDefinition`` instance, it then invokes the function to get the
+    ``WorkflowDefinition`` and then executes it. The execution of the
+    ``WorkflowDefinition`` proceeds as follows:
+
+        - The callable returned by the
+          :attr:`~sghi.etl.core.WorkflowDefinition.source_factory` property of
+          the supplied ``WorkflowDefinition`` is used to get the
+          :class:`~sghi.etl.core.Source` associated with the workflow. The
+          :meth:`~sghi.etl.core.Source.draw` method of this ``Source`` is then
+          invoked to get the raw data to process.
+        - The callable returned by the
+          :attr:`~sghi.etl.core.WorkflowDefinition.processor_factory` property
+          of the supplied ``WorkflowDefinition`` is invoked to get the
+          :class:`~sghi.etl.core.Processor` associated with the workflow. This
+          ``Processor`` is then applied to the raw data retrieved from the
+          ``Source`` in the previous step to obtain processed data.
+        - The callable returned by the
+          :attr:`~sghi.etl.core.WorkflowDefinition.sink_factory` property of
+          the supplied ``WorkflowDefinition`` is invoked to get the
+          :class:`~sghi.etl.core.Sink` associated with the workflow. The
+          processed data from the previous step is drained into this ``Sink``.
+        - The ``Source``, ``Processor`` and ``Sink`` created in the previous
+          steps are disposed of. Note that this disposal also happens if an
+          error occurs during the workflow execution.
+
+    .. note::
+
+        The above is a general description of how the workflow execution
+        occurs. The actual implementation may vary slightly from this
+        description.
+
+    If the supplied value **IS NOT** a valid callable object, a
+    :exc:`ValueError` is raised.
+
+    :param wf: A factory function that supplies the ``WorkflowDefinition``
+        instance to be executed. This function is only invoked once. The given
+        value *MUST* be a valid callable object, and it *MUST NOT* have any
+        required arguments.
+
+    :return: None.
+
+    :raise ValueError: If ``wf`` is NOT a callable object.
+    """
+    ensure_callable(wf, message="'wf' MUST be a valid callable object.")
+
+    wd: WorkflowDefinition = wf()
+    _WORKFLOW_RUNNER_LOGGER.info(
+        "[%s:%s] Starting workflow execution ...", wd.id, wd.name
+    )
+    with (
+        wd.source_factory() as source,
+        wd.processor_factory() as processor,
+        wd.sink_factory() as sink,
+    ):
+        sink.drain(processor.apply(source.draw()))
+
+    _WORKFLOW_RUNNER_LOGGER.info(
+        "[%s:%s] Workflow execution complete.", wd.id, wd.name
+    )

test/sghi/etl/commons_tests/utils_tests/others_tests.py

@@ -0,0 +1,131 @@
+# ruff: noqa: D205
+"""Tests for the ``sghi.etl.commons.utils.others`` module."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import pytest
+
+from sghi.etl.commons import (
+    NOOPProcessor,
+    NullSink,
+    ProcessorPipe,
+    SimpleWorkflowDefinition,
+    processor,
+    run_workflow,
+    sink,
+    source,
+)
+
+if TYPE_CHECKING:
+    from collections.abc import Callable, Iterable, MutableSequence
+
+    from sghi.etl.core import WorkflowDefinition
+
+# =============================================================================
+# HELPERS
+# =============================================================================
+
+
+def _workflow_factory_generator(
+    repository: MutableSequence[str],
+    start: int = 0,
+    stop: int = 5,
+    step: int = 1,
+) -> Callable[[], WorkflowDefinition[Iterable[int], Iterable[str]]]:
+    @source
+    def supply_ints() -> Iterable[int]:
+        yield from range(start, stop, step)
+
+    @processor
+    def add_100(values: Iterable[int]) -> Iterable[int]:
+        for v in values:
+            yield v + 100
+
+    @processor
+    def ints_as_strings(ints: Iterable[int]) -> Iterable[str]:
+        yield from map(str, ints)
+
+    @sink
+    def save_strings_to_repo(strings: Iterable[str]) -> None:
+        repository.extend(strings)
+
+    def _create_workflow() -> WorkflowDefinition[Iterable[int], Iterable[str]]:
+        return SimpleWorkflowDefinition(
+            id="test_workflow",
+            name="Test Workflow",
+            source_factory=lambda: supply_ints,
+            processor_factory=lambda: ProcessorPipe(
+                [add_100, ints_as_strings],
+            ),
+            sink_factory=lambda: save_strings_to_repo,
+        )
+
+    return _create_workflow
+
+
+# =============================================================================
+# TEST CASES
+# =============================================================================
+
+
+def test_run_workflow_fails_on_non_callable_input() -> None:
+    """:func:`sghi.etl.commons.utils.run_workflow` should raise a
+    :exc:`ValueError` when given a non-callable input value.
+    """
+    wf = _workflow_factory_generator([])
+    for non_callable in (None, wf()):
+        with pytest.raises(ValueError, match="callable object.") as exp_info:
+            run_workflow(wf=non_callable)  # type: ignore
+
+        assert (
+            exp_info.value.args[0] == "'wf' MUST be a valid callable object."
+        )
+
+
+def test_run_workflow_side_effects_on_failed_execution() -> None:
+    """:func:`sghi.etl.commons.utils.run_workflow` should dispose all the
+    workflow components (source, processor and sink) if an error occurs during
+    execution.
+    """
+
+    @source
+    def failing_source() -> str:
+        _err_msg: str = "Oops, something failed."
+        raise RuntimeError(_err_msg)
+
+    _processor = NOOPProcessor()
+    _sink = NullSink()
+
+    def create_failing_workflow() -> WorkflowDefinition[str, str]:
+        return SimpleWorkflowDefinition(
+            id="failing_workflow",
+            name="Failing Workflow",
+            source_factory=lambda: failing_source,
+            processor_factory=lambda: _processor,
+            sink_factory=lambda: _sink,
+        )
+
+    with pytest.raises(RuntimeError, match="Oops, something failed."):
+        run_workflow(wf=create_failing_workflow)
+
+    assert failing_source.is_disposed
+    assert _processor.is_disposed
+    assert _sink.is_disposed
+
+
+def test_run_workflow_side_effects_on_successful_execution() -> None:
+    """func:`sghi.etl.commons.utils.run_workflow` should execute an ETL
+    Workflow when given a factory function that returns the workflow.
+    """
+    repository1: list[str] = []
+    repository2: list[str] = []
+    wf1 = _workflow_factory_generator(repository1)
+    wf2 = _workflow_factory_generator(repository2, 10, 60, 10)
+
+    run_workflow(wf1)
+    run_workflow(wf2)
+
+    assert repository1 == ["100", "101", "102", "103", "104"]
+    assert repository2 == ["110", "120", "130", "140", "150"]