Пример #1
0
def test_wf_container_task_multiple():
    square = ContainerTask(
        name="square",
        input_data_dir="/var/inputs",
        output_data_dir="/var/outputs",
        inputs=kwtypes(val=int),
        outputs=kwtypes(out=int),
        image="alpine",
        command=["sh", "-c", "echo $(( {{.Inputs.val}} * {{.Inputs.val}} )) | tee /var/outputs/out"],
    )

    sum = ContainerTask(
        name="sum",
        input_data_dir="/var/flyte/inputs",
        output_data_dir="/var/flyte/outputs",
        inputs=kwtypes(x=int, y=int),
        outputs=kwtypes(out=int),
        image="alpine",
        command=["sh", "-c", "echo $(( {{.Inputs.x}} + {{.Inputs.y}} )) | tee /var/flyte/outputs/out"],
    )

    @workflow
    def raw_container_wf(val1: int, val2: int) -> int:
        return sum(x=square(val=val1), y=square(val=val2))

    with task_mock(square) as square_mock, task_mock(sum) as sum_mock:
        square_mock.side_effect = lambda val: val * val
        assert square(val=10) == 100

        sum_mock.side_effect = lambda x, y: x + y
        assert sum(x=10, y=10) == 20

        assert raw_container_wf(val1=10, val2=10) == 200
Пример #2
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def test_serialization():
    square = ContainerTask(
        name="square",
        input_data_dir="/var/inputs",
        output_data_dir="/var/outputs",
        inputs=kwtypes(val=int),
        outputs=kwtypes(out=int),
        image="alpine",
        command=[
            "sh", "-c",
            "echo $(( {{.Inputs.val}} * {{.Inputs.val}} )) | tee /var/outputs/out"
        ],
    )

    sum = ContainerTask(
        name="sum",
        input_data_dir="/var/flyte/inputs",
        output_data_dir="/var/flyte/outputs",
        inputs=kwtypes(x=int, y=int),
        outputs=kwtypes(out=int),
        image="alpine",
        command=[
            "sh", "-c",
            "echo $(( {{.Inputs.x}} + {{.Inputs.y}} )) | tee /var/flyte/outputs/out"
        ],
    )

    @workflow
    def raw_container_wf(val1: int, val2: int) -> int:
        return sum(x=square(val=val1), y=square(val=val2))

    default_img = Image(name="default", fqn="test", tag="tag")
    serialization_settings = context_manager.SerializationSettings(
        project="project",
        domain="domain",
        version="version",
        env=None,
        image_config=ImageConfig(default_image=default_img,
                                 images=[default_img]),
    )
    wf_spec = get_serializable(OrderedDict(), serialization_settings,
                               raw_container_wf)
    assert wf_spec is not None
    assert wf_spec.template is not None
    assert len(wf_spec.template.nodes) == 3
    sqn_spec = get_serializable(OrderedDict(), serialization_settings, square)
    assert sqn_spec.template.container.image == "alpine"
    sumn_spec = get_serializable(OrderedDict(), serialization_settings, sum)
    assert sumn_spec.template.container.image == "alpine"
Пример #3
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def test_wf_container_task():
    @task
    def t1(a: int) -> (int, str):
        return a + 2, str(a) + "-HELLO"

    t2 = ContainerTask(
        "raw",
        image="alpine",
        inputs=kwtypes(a=int, b=str),
        input_data_dir="/tmp",
        output_data_dir="/tmp",
        command=["cat"],
        arguments=["/tmp/a"],
    )

    @workflow
    def wf(a: int):
        x, y = t1(a=a)
        t2(a=x, b=y)

    with task_mock(t2) as mock:
        mock.side_effect = lambda a, b: None
        assert t2(a=10, b="hello") is None

        wf(a=10)
Пример #4
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def test_resolver_load_task():
    # any task is fine, just copied one
    square = ContainerTask(
        name="square",
        input_data_dir="/var/inputs",
        output_data_dir="/var/outputs",
        inputs=kwtypes(val=int),
        outputs=kwtypes(out=int),
        image="alpine",
        command=[
            "sh", "-c",
            "echo $(( {{.Inputs.val}} * {{.Inputs.val}} )) | tee /var/outputs/out"
        ],
    )

    resolver = TaskTemplateResolver()
    ts = get_serializable(OrderedDict(), serialization_settings, square)
    file = tempfile.NamedTemporaryFile().name
    # load_task should create an instance of the path to the object given, doesn't need to be a real executor
    write_proto_to_file(ts.template.to_flyte_idl(), file)
    shim_task = resolver.load_task(
        [file, f"{Placeholder.__module__}.Placeholder"])
    assert isinstance(shim_task.executor, Placeholder)
    assert shim_task.task_template.id.name == "square"
    assert shim_task.task_template.interface.inputs["val"] is not None
    assert shim_task.task_template.interface.outputs["out"] is not None
Пример #5
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def test_container():
    @task
    def t1(a: int) -> (int, str):
        return a + 2, str(a) + "-HELLO"

    t2 = ContainerTask(
        "raw",
        image="alpine",
        inputs=kwtypes(a=int, b=str),
        input_data_dir="/tmp",
        output_data_dir="/tmp",
        command=["cat"],
        arguments=["/tmp/a"],
    )

    sdk_task = get_serializable(serialization_settings, t2, fast=True)
    assert "pyflyte" not in sdk_task.container.args
Пример #6
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def test_container():
    @task
    def t1(a: int) -> (int, str):
        return a + 2, str(a) + "-HELLO"

    t2 = ContainerTask(
        "raw",
        image="alpine",
        inputs=kwtypes(a=int, b=str),
        input_data_dir="/tmp",
        output_data_dir="/tmp",
        command=["cat"],
        arguments=["/tmp/a"],
        requests=Resources(mem="400Mi", cpu="1"),
    )

    task_spec = get_serializable(OrderedDict(),
                                 serialization_settings,
                                 t2,
                                 fast=True)
    assert "pyflyte" not in task_spec.template.container.args
Пример #7
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#
# A :py:class:`flytekit.ContainerTask` denotes an arbitrary container. In the following example, the name of the task
# is ``calculate_ellipse_area_shell``. This name has to be unique in the entire project. Users can specify:
#
# - ``input_data_dir`` -> where inputs will be written to
# - ``output_data_dir`` -> where Flyte will expect the outputs to exist.
#
# inputs and outputs specify the interface for the task, thus it should be an ordered dictionary of typed input and
# output variables.
calculate_ellipse_area_shell = ContainerTask(
    name="ellipse-area-metadata-shell",
    input_data_dir="/var/inputs",
    output_data_dir="/var/outputs",
    inputs=kwtypes(a=float, b=float),
    outputs=kwtypes(area=float, metadata=str),
    image="rawcontainers-shell:v1",
    command=[
        "./calculate-ellipse-area.sh",
        "/var/inputs",
        "/var/outputs",
    ],
)

calculate_ellipse_area_python = ContainerTask(
    name="ellipse-area-metadata-python",
    input_data_dir="/var/inputs",
    output_data_dir="/var/outputs",
    inputs=kwtypes(a=float, b=float),
    outputs=kwtypes(area=float, metadata=str),
    image="rawcontainers-python:v1",
    command=[
Пример #8
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# %%
# A :py:class:`flytekit.ContainerTask` denotes an arbitrary container. In the following example, the name of the task
# is square. This name has to be unique in the entire project. Users can specify some
#
# - ``input_data_dir`` -> where inputs will be written to
# - ``output_data_dir`` -> where Flyte will expect the outputs to exist.
#
# inputs and outputs specify the interface for the task, thus it should be an ordered dictionary of typed input and
# output variables
square = ContainerTask(
    name="square",
    input_data_dir="/var/inputs",
    output_data_dir="/var/outputs",
    inputs=kwtypes(val=int),
    outputs=kwtypes(out=int),
    image="alpine",
    command=[
        "sh",
        "-c",
        "echo $(( {{.Inputs.val}} * {{.Inputs.val}} )) | tee /var/outputs/out",
    ],
)


sum = ContainerTask(
    name="sum",
    input_data_dir="/var/flyte/inputs",
    output_data_dir="/var/flyte/outputs",
    inputs=kwtypes(x=int, y=int),
    outputs=kwtypes(out=int),
    image="alpine",