Beispiel #1
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def test_variable_map():
    v = interface.Variable(types.LiteralType(simple=types.SimpleType.BOOLEAN),
                           'asdf asdf asdf')
    obj = interface.VariableMap({'vvv': v})

    obj2 = interface.VariableMap.from_flyte_idl(obj.to_flyte_idl())
    assert obj == obj2
 def named_tuple_to_variable_map(
         cls, t: typing.NamedTuple) -> _interface_models.VariableMap:
     variables = {}
     for idx, (var_name, var_type) in enumerate(t._field_types.items()):
         literal_type = cls.to_literal_type(var_type)
         variables[var_name] = _interface_models.Variable(
             type=literal_type, description=f"{idx}")
     return _interface_models.VariableMap(variables=variables)
Beispiel #3
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def test_lp_closure():
    v = interface.Variable(types.LiteralType(simple=types.SimpleType.BOOLEAN), 'asdf asdf asdf')
    p = interface.Parameter(var=v)
    parameter_map = interface.ParameterMap({'ppp': p})
    parameter_map.to_flyte_idl()
    variable_map = interface.VariableMap({'vvv': v})
    obj = launch_plan.LaunchPlanClosure(state=launch_plan.LaunchPlanState.ACTIVE, expected_inputs=parameter_map,
                                        expected_outputs=variable_map)
    assert obj.expected_inputs == parameter_map
    assert obj.expected_outputs == variable_map

    obj2 = launch_plan.LaunchPlanClosure.from_flyte_idl(obj.to_flyte_idl())
    assert obj == obj2
    assert obj2.expected_inputs == parameter_map
    assert obj2.expected_outputs == variable_map
Beispiel #4
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    def serialize(self):
        """
        Serializing a launch plan should produce an object similar to what the registration step produces,
        in preparation for actual registration to Admin.

        :rtype: flyteidl.admin.launch_plan_pb2.LaunchPlan
        """
        return _launch_plan_models.LaunchPlan(
            id=self.id,
            spec=self,
            closure=_launch_plan_models.LaunchPlanClosure(
                state=None,
                expected_inputs=_interface_models.ParameterMap({}),
                expected_outputs=_interface_models.VariableMap({}),
            ),
        ).to_flyte_idl()
Beispiel #5
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def get_serializable_launch_plan(
    entity_mapping: OrderedDict,
    settings: SerializationSettings,
    entity: LaunchPlan,
    fast: bool,
) -> _launch_plan_models.LaunchPlan:
    wf_spec = get_serializable(entity_mapping, settings, entity.workflow)

    lps = _launch_plan_models.LaunchPlanSpec(
        workflow_id=wf_spec.template.id,
        entity_metadata=_launch_plan_models.LaunchPlanMetadata(
            schedule=entity.schedule,
            notifications=entity.notifications,
        ),
        default_inputs=entity.parameters,
        fixed_inputs=entity.fixed_inputs,
        labels=entity.labels or _common_models.Labels({}),
        annotations=entity.annotations or _common_models.Annotations({}),
        auth_role=entity._auth_role or _common_models.AuthRole(),
        raw_output_data_config=entity.raw_output_data_config
        or _common_models.RawOutputDataConfig(""),
    )
    lp_id = _identifier_model.Identifier(
        resource_type=_identifier_model.ResourceType.LAUNCH_PLAN,
        project=settings.project,
        domain=settings.domain,
        name=entity.name,
        version=settings.version,
    )
    lp_model = _launch_plan_models.LaunchPlan(
        id=lp_id,
        spec=lps,
        closure=_launch_plan_models.LaunchPlanClosure(
            state=None,
            expected_inputs=interface_models.ParameterMap({}),
            expected_outputs=interface_models.VariableMap({}),
        ),
    )

    return lp_model
Beispiel #6
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def get_serializable_launch_plan(
    entity_mapping: OrderedDict,
    settings: SerializationSettings,
    entity: LaunchPlan,
    recurse_downstream: bool = True,
    options: Optional[Options] = None,
) -> _launch_plan_models.LaunchPlan:
    """
    :param entity_mapping:
    :param settings:
    :param entity:
    :param options:
    :param recurse_downstream: This boolean indicate is wf for the entity should also be recursed to
    :return:
    """
    if recurse_downstream:
        wf_spec = get_serializable(entity_mapping, settings, entity.workflow,
                                   options)
        wf_id = wf_spec.template.id
    else:
        wf_id = _identifier_model.Identifier(
            resource_type=_identifier_model.ResourceType.WORKFLOW,
            project=settings.project,
            domain=settings.domain,
            name=entity.workflow.name,
            version=settings.version,
        )

    if not options:
        options = Options()

    if options and options.raw_output_data_config:
        raw_prefix_config = options.raw_output_data_config
    else:
        raw_prefix_config = entity.raw_output_data_config or _common_models.RawOutputDataConfig(
            "")

    lps = _launch_plan_models.LaunchPlanSpec(
        workflow_id=wf_id,
        entity_metadata=_launch_plan_models.LaunchPlanMetadata(
            schedule=entity.schedule,
            notifications=options.notifications or entity.notifications,
        ),
        default_inputs=entity.parameters,
        fixed_inputs=entity.fixed_inputs,
        labels=options.labels or entity.labels or _common_models.Labels({}),
        annotations=options.annotations or entity.annotations
        or _common_models.Annotations({}),
        auth_role=None,
        raw_output_data_config=raw_prefix_config,
        max_parallelism=options.max_parallelism or entity.max_parallelism,
        security_context=options.security_context or entity.security_context,
    )

    lp_id = _identifier_model.Identifier(
        resource_type=_identifier_model.ResourceType.LAUNCH_PLAN,
        project=settings.project,
        domain=settings.domain,
        name=entity.name,
        version=settings.version,
    )
    lp_model = _launch_plan_models.LaunchPlan(
        id=lp_id,
        spec=lps,
        closure=_launch_plan_models.LaunchPlanClosure(
            state=None,
            expected_inputs=interface_models.ParameterMap({}),
            expected_outputs=interface_models.VariableMap({}),
        ),
    )

    return lp_model