two version of R2R are hereHEADmaster

1 files changed, 232 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_internal/_schema/component.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_internal/_schema/component.py
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+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_internal/_schema/component.py
@@ -0,0 +1,232 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import os.path
+
+import pydash
+from marshmallow import EXCLUDE, INCLUDE, fields, post_dump, pre_load
+
+from ..._schema import NestedField, StringTransformedEnum, UnionField
+from ..._schema.component.component import ComponentSchema
+from ..._schema.core.fields import ArmVersionedStr, CodeField, EnvironmentField, RegistryStr
+from ..._schema.job.parameterized_spark import SparkEntryClassSchema, SparkEntryFileSchema
+from ..._utils._arm_id_utils import parse_name_label
+from ..._utils.utils import get_valid_dot_keys_with_wildcard
+from ...constants._common import (
+    LABELLED_RESOURCE_NAME,
+    SOURCE_PATH_CONTEXT_KEY,
+    AzureMLResourceType,
+    DefaultOpenEncoding,
+)
+from ...constants._component import NodeType as PublicNodeType
+from .._utils import yaml_safe_load_with_base_resolver
+from .environment import InternalEnvironmentSchema
+from .input_output import (
+    InternalEnumParameterSchema,
+    InternalInputPortSchema,
+    InternalOutputPortSchema,
+    InternalParameterSchema,
+    InternalPrimitiveOutputSchema,
+    InternalSparkParameterSchema,
+)
+
+
+class NodeType:
+    COMMAND = "CommandComponent"
+    DATA_TRANSFER = "DataTransferComponent"
+    DISTRIBUTED = "DistributedComponent"
+    HDI = "HDInsightComponent"
+    SCOPE_V2 = "scope"
+    HDI_V2 = "hdinsight"
+    HEMERA_V2 = "hemera"
+    STARLITE_V2 = "starlite"
+    AE365EXEPOOL_V2 = "ae365exepool"
+    AETHER_BRIDGE_V2 = "aetherbridge"
+    PARALLEL = "ParallelComponent"
+    SCOPE = "ScopeComponent"
+    STARLITE = "StarliteComponent"
+    SWEEP = "SweepComponent"
+    PIPELINE = "PipelineComponent"
+    HEMERA = "HemeraComponent"
+    AE365EXEPOOL = "AE365ExePoolComponent"
+    IPP = "IntellectualPropertyProtectedComponent"
+    # internal spake component got a type value conflict with spark component
+    # this enum is used to identify its create_function in factories
+    SPARK = "DummySpark"
+    AETHER_BRIDGE = "AetherBridgeComponent"
+
+    @classmethod
+    def all_values(cls):
+        all_values = []
+        for key, value in vars(cls).items():
+            if not key.startswith("_") and isinstance(value, str):
+                all_values.append(value)
+        return all_values
+
+
+class InternalComponentSchema(ComponentSchema):
+    class Meta:
+        unknown = INCLUDE
+
+    # override name as 1p components allow . in name, which is not allowed in v2 components
+    name = fields.Str()
+
+    # override to allow empty properties
+    tags = fields.Dict(keys=fields.Str())
+
+    # override inputs & outputs to support 1P inputs & outputs, may need to do strict validation later
+    # no need to check io type match since server will do that
+    inputs = fields.Dict(
+        keys=fields.Str(),
+        values=UnionField(
+            [
+                NestedField(InternalParameterSchema),
+                NestedField(InternalEnumParameterSchema),
+                NestedField(InternalInputPortSchema),
+            ]
+        ),
+    )
+    # support primitive output for all internal components for now
+    outputs = fields.Dict(
+        keys=fields.Str(),
+        values=UnionField(
+            [
+                NestedField(InternalPrimitiveOutputSchema, unknown=EXCLUDE),
+                NestedField(InternalOutputPortSchema, unknown=EXCLUDE),
+            ]
+        ),
+    )
+
+    # type field is required for registration
+    type = StringTransformedEnum(
+        allowed_values=NodeType.all_values(),
+        casing_transform=lambda x: parse_name_label(x)[0],
+        pass_original=True,
+    )
+
+    # need to resolve as it can be a local field
+    code = CodeField()
+
+    environment = UnionField(
+        [
+            RegistryStr(azureml_type=AzureMLResourceType.ENVIRONMENT),
+            ArmVersionedStr(azureml_type=AzureMLResourceType.ENVIRONMENT),
+            NestedField(InternalEnvironmentSchema),
+        ]
+    )
+
+    def get_skip_fields(self):
+        return ["properties"]
+
+    def _serialize(self, obj, *, many: bool = False):
+        if many and obj is not None:
+            return super(InternalComponentSchema, self)._serialize(obj, many=many)
+        ret = super(InternalComponentSchema, self)._serialize(obj)
+        for attr_name in obj.__dict__.keys():
+            if (
+                not attr_name.startswith("_")
+                and attr_name not in self.get_skip_fields()
+                and attr_name not in self.dump_fields
+            ):
+                ret[attr_name] = self.get_attribute(obj, attr_name, None)
+        return ret
+
+    # override param_override to ensure that param override happens after reloading the yaml
+    @pre_load
+    def add_param_overrides(self, data, **kwargs):
+        source_path = self.context.pop(SOURCE_PATH_CONTEXT_KEY, None)
+        if isinstance(data, dict) and source_path and os.path.isfile(source_path):
+
+            def should_node_overwritten(_root, _parts):
+                parts = _parts.copy()
+                parts.pop()
+                parts.append("type")
+                _input_type = pydash.get(_root, parts, None)
+                return isinstance(_input_type, str) and _input_type.lower() not in ["boolean"]
+
+            # do override here
+            with open(source_path, "r", encoding=DefaultOpenEncoding.READ) as f:
+                origin_data = yaml_safe_load_with_base_resolver(f)
+                for dot_key_wildcard, condition_func in [
+                    ("version", None),
+                    ("inputs.*.default", should_node_overwritten),
+                    ("inputs.*.enum", should_node_overwritten),
+                ]:
+                    for dot_key in get_valid_dot_keys_with_wildcard(
+                        origin_data, dot_key_wildcard, validate_func=condition_func
+                    ):
+                        pydash.set_(data, dot_key, pydash.get(origin_data, dot_key))
+        return super().add_param_overrides(data, **kwargs)
+
+    @post_dump(pass_original=True)
+    def simplify_input_output_port(self, data, original, **kwargs):  # pylint:disable=unused-argument
+        # remove None in input & output
+        for io_ports in [data["inputs"], data["outputs"]]:
+            for port_name, port_definition in io_ports.items():
+                io_ports[port_name] = dict(filter(lambda item: item[1] is not None, port_definition.items()))
+
+        # hack, to match current serialization match expectation
+        for port_name, port_definition in data["inputs"].items():
+            if "mode" in port_definition:
+                del port_definition["mode"]
+
+        return data
+
+    @post_dump(pass_original=True)
+    def add_back_type_label(self, data, original, **kwargs):  # pylint:disable=unused-argument
+        type_label = original._type_label  # pylint:disable=protected-access
+        if type_label:
+            data["type"] = LABELLED_RESOURCE_NAME.format(data["type"], type_label)
+        return data
+
+
+class InternalSparkComponentSchema(InternalComponentSchema):
+    # type field is required for registration
+    type = StringTransformedEnum(
+        allowed_values=PublicNodeType.SPARK,
+        casing_transform=lambda x: parse_name_label(x)[0].lower(),
+        pass_original=True,
+    )
+
+    # override inputs:
+    # https://componentsdk.azurewebsites.net/components/spark_component.html#differences-with-other-component-types
+    inputs = fields.Dict(
+        keys=fields.Str(),
+        values=UnionField(
+            [
+                NestedField(InternalSparkParameterSchema),
+                NestedField(InternalInputPortSchema),
+            ]
+        ),
+    )
+
+    environment = EnvironmentField(
+        extra_fields=[NestedField(InternalEnvironmentSchema)],
+        allow_none=True,
+    )
+
+    jars = UnionField(
+        [
+            fields.List(fields.Str()),
+            fields.Str(),
+        ],
+    )
+    py_files = UnionField(
+        [
+            fields.List(fields.Str()),
+            fields.Str(),
+        ],
+        data_key="pyFiles",
+        attribute="py_files",
+    )
+
+    entry = UnionField(
+        [NestedField(SparkEntryFileSchema), NestedField(SparkEntryClassSchema)],
+        required=True,
+        metadata={"description": "Entry."},
+    )
+
+    files = fields.List(fields.Str(required=True))
+    archives = fields.List(fields.Str(required=True))
+    conf = fields.Dict(keys=fields.Str(), values=fields.Raw())
+    args = fields.Str(metadata={"description": "Command Line arguments."})