Beispiel #1
0
def test_direct_composite_descent_with_error():
    @composite_solid(
        config={'override_str': Field(int)},
        config_fn=lambda cfg: {'layer2': {'config': cfg['override_str']}},
    )
    def wrap_coerce_to_wrong_type():
        return scalar_config_solid.alias('layer2')()

    @composite_solid(
        config={'nesting_override': Field(int)},
        config_fn=lambda cfg: {'layer1': {'config': {'override_str': cfg['nesting_override']}}},
    )
    def nesting_wrap_wrong_type_at_leaf():
        return wrap_coerce_to_wrong_type.alias('layer1')()

    @pipeline
    def wrap_pipeline_with_error():
        return nesting_wrap_wrong_type_at_leaf.alias('layer0')()

    with pytest.raises(DagsterInvalidConfigError) as exc_info:
        composite_descent(
            wrap_pipeline_with_error, {'layer0': {'config': {'nesting_override': 214}}}
        )

    assert 'In pipeline wrap_pipeline_with_error at stack layer0:layer1:' in str(exc_info.value)

    assert (
        'Solid "layer1" with definition "wrap_coerce_to_wrong_type" has a configuration error.'
        in str(exc_info.value)
    )
    print(str(exc_info.value))
    assert 'Error 1: Invalid scalar at path root:layer2:config value "214"' in str(exc_info.value)
def test_direct_composite_descent_with_error():
    @composite_solid(
        config_schema={"override_str": Field(int)},
        config_fn=lambda cfg: {"layer2": {"config": cfg["override_str"]}},
    )
    def wrap_coerce_to_wrong_type():
        return scalar_config_solid.alias("layer2")()

    @composite_solid(
        config_schema={"nesting_override": Field(int)},
        config_fn=lambda cfg: {"layer1": {"config": {"override_str": cfg["nesting_override"]}}},
    )
    def nesting_wrap_wrong_type_at_leaf():
        return wrap_coerce_to_wrong_type.alias("layer1")()

    @pipeline
    def wrap_pipeline_with_error():
        nesting_wrap_wrong_type_at_leaf.alias("layer0")()

    with pytest.raises(DagsterInvalidConfigError) as exc_info:
        composite_descent(
            wrap_pipeline_with_error, {"layer0": {"config": {"nesting_override": 214}}}
        )

    assert "In pipeline wrap_pipeline_with_error at stack layer0:layer1:" in str(exc_info.value)

    assert (
        'Solid "layer1" with definition "wrap_coerce_to_wrong_type" has a configuration error.'
        in str(exc_info.value)
    )
    print(str(exc_info.value))
    assert 'Error 1: Invalid scalar at path root:layer2:config. Value "214"' in str(exc_info.value)
def test_single_solid_pipeline_composite_descent():
    @solid(config_schema=int)
    def return_int(context):
        return context.solid_config

    @pipeline
    def return_int_pipeline():
        return_int()

    solid_config_dict = composite_descent(return_int_pipeline,
                                          {"return_int": {
                                              "config": 3
                                          }},
                                          resource_defs={})

    assert solid_config_dict["return_int"].config == 3

    result = execute_pipeline(return_int_pipeline,
                              {"solids": {
                                  "return_int": {
                                      "config": 3
                                  }
                              }})

    assert result.success
    assert result.result_for_solid("return_int").output_value() == 3
def test_nested_input_via_config_mapping():
    @solid
    def add_one(_, num):
        return num + 1

    @composite_solid(
        config_schema={},
        config_fn=lambda _cfg: {"add_one": {
            "inputs": {
                "num": {
                    "value": 2
                }
            }
        }})
    def wrap_add_one():
        add_one()

    @pipeline
    def wrap_add_one_pipeline():
        wrap_add_one()

    solid_config_dict = composite_descent(wrap_add_one_pipeline, {},
                                          resource_defs={})
    assert solid_config_dict["wrap_add_one.add_one"].inputs == {
        "num": {
            "value": 2
        }
    }

    result = execute_pipeline(wrap_add_one_pipeline)
    assert result.success
    assert result.result_for_handle("wrap_add_one.add_one").output_value() == 3
def test_single_layer_pipeline_computed_config_mapping():
    @solid(config_schema=int)
    def return_int(context):
        return context.solid_config

    def _config_fn(cfg):
        return {"return_int": {"config": cfg["number"] + 1}}

    @composite_solid(config_schema={"number": int}, config_fn=_config_fn)
    def return_int_plus_one():
        return_int()

    @pipeline
    def return_int_hardcode_wrap_pipeline():
        return_int_plus_one()

    solid_config_dict = composite_descent(
        return_int_hardcode_wrap_pipeline,
        {"return_int_plus_one": {
            "config": {
                "number": 23
            }
        }},
        resource_defs={},
    )

    assert solid_config_dict["return_int_plus_one.return_int"].config == 24
def test_single_layer_pipeline_composite_descent():
    @solid(config=int)
    def return_int(context):
        return context.solid_config

    @composite_solid
    def return_int_passthrough():
        return_int()

    @pipeline
    def return_int_pipeline_passthrough():
        return_int_passthrough()

    solid_config_dict = composite_descent(
        return_int_pipeline_passthrough,
        {'return_int_passthrough': {'solids': {'return_int': {'config': 34}}}},
    )

    handle = 'return_int_passthrough.return_int'
    assert solid_config_dict[handle].config == 34

    result = execute_pipeline(
        return_int_pipeline_passthrough,
        {'solids': {'return_int_passthrough': {'solids': {'return_int': {'config': 34}}}},},
    )

    assert result.success
    assert result.result_for_handle(handle).output_value() == 34
def test_double_nested_input_via_config_mapping():
    @lambda_solid
    def number(num):
        return num

    @composite_solid(config_fn=lambda _: {'number': {'inputs': {'num': {'value': 4}}}}, config={})
    def wrap_solid():  # pylint: disable=unused-variable
        return number()

    @composite_solid
    def double_wrap(num):
        number(num)
        return wrap_solid()

    @pipeline
    def wrap_pipeline_double_nested_input():
        return double_wrap()

    solid_handle_dict = composite_descent(
        wrap_pipeline_double_nested_input, {'double_wrap': {'inputs': {'num': {'value': 2}}}}
    )
    assert solid_handle_dict['double_wrap.wrap_solid.number'].inputs == {'num': {'value': 4}}
    assert solid_handle_dict['double_wrap'].inputs == {'num': {'value': 2}}

    result = execute_pipeline(
        wrap_pipeline_double_nested_input,
        {'solids': {'double_wrap': {'inputs': {'num': {'value': 2}}}}},
    )
    assert result.success
def test_single_solid_pipeline_composite_descent():
    @solid(config=int)
    def return_int(context):
        return context.solid_config

    @pipeline
    def return_int_pipeline():
        return_int()

    solid_config_dict = composite_descent(return_int_pipeline,
                                          {'return_int': {
                                              'config': 3
                                          }})

    assert solid_config_dict['return_int'].config == 3

    result = execute_pipeline(return_int_pipeline,
                              {'solids': {
                                  'return_int': {
                                      'config': 3
                                  }
                              }})

    assert result.success
    assert result.result_for_solid('return_int').output_value() == 3
def test_nested_input_via_config_mapping():
    @solid
    def add_one(_, num):
        return num + 1

    @composite_solid(
        config={},
        config_fn=lambda _cfg: {'add_one': {
            'inputs': {
                'num': {
                    'value': 2
                }
            }
        }})
    def wrap_add_one():
        add_one()

    @pipeline
    def wrap_add_one_pipeline():
        wrap_add_one()

    solid_config_dict = composite_descent(wrap_add_one_pipeline, {})
    assert solid_config_dict['wrap_add_one.add_one'].inputs == {
        'num': {
            'value': 2
        }
    }

    result = execute_pipeline(wrap_add_one_pipeline)
    assert result.success
    assert result.result_for_handle('wrap_add_one.add_one').output_value() == 3
Beispiel #10
0
def test_single_layer_pipeline_computed_config_mapping():
    @solid(config=int)
    def return_int(context):
        return context.solid_config

    def _config_fn(cfg):
        return {'return_int': {'config': cfg['number'] + 1}}

    @composite_solid(config={'number': int}, config_fn=_config_fn)
    def return_int_plus_one():
        return_int()

    @pipeline
    def return_int_hardcode_wrap_pipeline():
        return_int_plus_one()

    solid_config_dict = composite_descent(
        return_int_hardcode_wrap_pipeline,
        {'return_int_plus_one': {
            'config': {
                'number': 23
            }
        }})

    assert solid_config_dict['return_int_plus_one.return_int'].config == 24
Beispiel #11
0
def test_double_nested_input_via_config_mapping():
    @lambda_solid
    def number(num):
        return num

    @composite_solid(
        config_fn=lambda _: {"number": {"inputs": {"num": {"value": 4}}}}, config_schema={}
    )
    def wrap_solid():  # pylint: disable=unused-variable
        return number()

    @composite_solid
    def double_wrap(num):
        number(num)
        return wrap_solid()

    @pipeline
    def wrap_pipeline_double_nested_input():
        double_wrap()

    solid_handle_dict = composite_descent(
        wrap_pipeline_double_nested_input, {"double_wrap": {"inputs": {"num": {"value": 2}}}}
    )
    assert solid_handle_dict["double_wrap.wrap_solid.number"].inputs == {"num": {"value": 4}}
    assert solid_handle_dict["double_wrap"].inputs == {"num": {"value": 2}}

    result = execute_pipeline(
        wrap_pipeline_double_nested_input,
        {"solids": {"double_wrap": {"inputs": {"num": {"value": 2}}}}},
    )
    assert result.success
def test_single_layer_pipeline_composite_descent():
    @solid(config_schema=int)
    def return_int(context):
        return context.solid_config

    @composite_solid
    def return_int_passthrough():
        return_int()

    @pipeline
    def return_int_pipeline_passthrough():
        return_int_passthrough()

    solid_config_dict = composite_descent(
        return_int_pipeline_passthrough,
        {"return_int_passthrough": {"solids": {"return_int": {"config": 34}}}},
        resource_defs={"io_manager": mem_io_manager},
    )

    handle = "return_int_passthrough.return_int"
    assert solid_config_dict[handle].config == 34

    result = execute_pipeline(
        return_int_pipeline_passthrough,
        {
            "solids": {"return_int_passthrough": {"solids": {"return_int": {"config": 34}}}},
        },
    )

    assert result.success
    assert result.result_for_handle(handle).output_value() == 34
def test_single_layer_pipeline_hardcoded_config_mapping():
    @solid(config=int)
    def return_int(context):
        return context.solid_config

    @composite_solid(config={}, config_fn=lambda _cfg: {'return_int': {'config': 35}})
    def return_int_hardcode_wrap():
        return_int()

    @pipeline
    def return_int_hardcode_wrap_pipeline():
        return_int_hardcode_wrap()

    solid_config_dict = composite_descent(return_int_hardcode_wrap_pipeline, {})

    assert solid_config_dict['return_int_hardcode_wrap.return_int'].config == 35
def test_single_layer_pipeline_hardcoded_config_mapping():
    @solid(config_schema=int)
    def return_int(context):
        return context.solid_config

    @composite_solid(config_schema={}, config_fn=lambda _cfg: {"return_int": {"config": 35}})
    def return_int_hardcode_wrap():
        return_int()

    @pipeline
    def return_int_hardcode_wrap_pipeline():
        return_int_hardcode_wrap()

    solid_config_dict = composite_descent(
        return_int_hardcode_wrap_pipeline, {}, resource_defs={"io_manager": mem_io_manager}
    )

    assert solid_config_dict["return_int_hardcode_wrap.return_int"].config == 35
def test_mix_layer_computed_mapping():
    @solid(config_schema=int)
    def return_int(context):
        return context.solid_config

    @composite_solid(
        config_schema={"number": int},
        config_fn=lambda cfg: {"return_int": {
            "config": cfg["number"] + 1
        }},
    )
    def layer_three_wrap():
        return_int()

    def _layer_two_double_wrap_cfg_fn(cfg):
        if cfg["inject_error"]:
            return {"layer_three_wrap": {"config": {"number": "a_string"}}}
        else:
            return {
                "layer_three_wrap": {
                    "config": {
                        "number": cfg["number"] + 1
                    }
                }
            }

    @composite_solid(config_schema={
        "number": int,
        "inject_error": bool
    },
                     config_fn=_layer_two_double_wrap_cfg_fn)
    def layer_two_double_wrap():
        layer_three_wrap()

    @composite_solid
    def layer_two_passthrough():
        return_int()

    @composite_solid
    def layer_one():
        layer_two_passthrough()
        layer_two_double_wrap()

    @pipeline
    def layered_config():
        layer_one()

    solid_config_dict = composite_descent(
        layered_config,
        {
            "layer_one": {
                "solids": {
                    "layer_two_passthrough": {
                        "solids": {
                            "return_int": {
                                "config": 234
                            }
                        }
                    },
                    "layer_two_double_wrap": {
                        "config": {
                            "number": 5,
                            "inject_error": False
                        }
                    },
                }
            }
        },
        resource_defs={},
    )

    assert solid_config_dict[
        "layer_one.layer_two_passthrough.return_int"].config == 234
    # this passed through both config fns which each added one
    assert (solid_config_dict[
        "layer_one.layer_two_double_wrap.layer_three_wrap.return_int"].config
            == 7)

    with pytest.raises(DagsterInvalidConfigError) as exc_info:
        composite_descent(
            layered_config,
            {
                "layer_one": {
                    "solids": {
                        "layer_two_passthrough": {
                            "solids": {
                                "return_int": {
                                    "config": 234
                                }
                            }
                        },
                        "layer_two_double_wrap": {
                            "config": {
                                "number": 234,
                                "inject_error": True
                            }
                        },
                    }
                }
            },
            resource_defs={},
        )

    assert 'Solid "layer_two_double_wrap" with definition "layer_two_double_wrap"' in str(
        exc_info.value)
    print(str(exc_info.value))
    assert (
        'Error 1: Invalid scalar at path root:layer_three_wrap:config:number. Value "a_string"'
    ) in str(exc_info.value)

    result = execute_pipeline(
        layered_config,
        {
            "solids": {
                "layer_one": {
                    "solids": {
                        "layer_two_passthrough": {
                            "solids": {
                                "return_int": {
                                    "config": 55
                                }
                            }
                        },
                        "layer_two_double_wrap": {
                            "config": {
                                "number": 7,
                                "inject_error": False
                            }
                        },
                    }
                }
            },
        },
    )

    assert (result.result_for_handle(
        "layer_one.layer_two_passthrough.return_int").output_value() == 55)
    assert (result.result_for_handle(
        "layer_one.layer_two_double_wrap.layer_three_wrap.return_int").
            output_value() == 9)
def test_mix_layer_computed_mapping():
    @solid(config=int)
    def return_int(context):
        return context.solid_config

    @composite_solid(
        config={'number': int}, config_fn=lambda cfg: {'return_int': {'config': cfg['number'] + 1}},
    )
    def layer_three_wrap():
        return_int()

    def _layer_two_double_wrap_cfg_fn(cfg):
        if cfg['inject_error']:
            return {'layer_three_wrap': {'config': {'number': 'a_string'}}}
        else:
            return {'layer_three_wrap': {'config': {'number': cfg['number'] + 1}}}

    @composite_solid(
        config={'number': int, 'inject_error': bool}, config_fn=_layer_two_double_wrap_cfg_fn
    )
    def layer_two_double_wrap():
        layer_three_wrap()

    @composite_solid
    def layer_two_passthrough():
        return_int()

    @composite_solid
    def layer_one():
        layer_two_passthrough()
        layer_two_double_wrap()

    @pipeline
    def layered_config():
        layer_one()

    solid_config_dict = composite_descent(
        layered_config,
        {
            'layer_one': {
                'solids': {
                    'layer_two_passthrough': {'solids': {'return_int': {'config': 234}}},
                    'layer_two_double_wrap': {'config': {'number': 5, 'inject_error': False}},
                }
            }
        },
    )

    assert solid_config_dict['layer_one.layer_two_passthrough.return_int'].config == 234
    # this passed through both config fns which each added one
    assert (
        solid_config_dict['layer_one.layer_two_double_wrap.layer_three_wrap.return_int'].config == 7
    )

    with pytest.raises(DagsterInvalidConfigError) as exc_info:
        composite_descent(
            layered_config,
            {
                'layer_one': {
                    'solids': {
                        'layer_two_passthrough': {'solids': {'return_int': {'config': 234}}},
                        'layer_two_double_wrap': {'config': {'number': 234, 'inject_error': True}},
                    }
                }
            },
        )

    assert 'Solid "layer_two_double_wrap" with definition "layer_two_double_wrap"' in str(
        exc_info.value
    )

    assert (
        'Error 1: Type failure at path "root:layer_three_wrap:config:number" on type "Int". '
        'Value at path root:layer_three_wrap:config:number is not valid. Expected "Int"'
    ) in str(exc_info.value)

    result = execute_pipeline(
        layered_config,
        {
            'solids': {
                'layer_one': {
                    'solids': {
                        'layer_two_passthrough': {'solids': {'return_int': {'config': 55}}},
                        'layer_two_double_wrap': {'config': {'number': 7, 'inject_error': False}},
                    }
                }
            },
        },
    )

    assert (
        result.result_for_handle('layer_one.layer_two_passthrough.return_int').output_value() == 55
    )
    assert (
        result.result_for_handle(
            'layer_one.layer_two_double_wrap.layer_three_wrap.return_int'
        ).output_value()
        == 9
    )