chore(ingest): remove deprecated calls to Urn.create_from_string (#11983

)

metadata-ingestion/src/datahub/api/entities/structuredproperties/structuredproperties.py

@@ -121,7 +121,7 @@ def fqn(self) -> str:
         return (
             self.qualified_name
             or self.id
-            or Urn.create_from_string(self.urn).get_entity_id()[0]
+            or Urn.from_string(self.urn).get_entity_id()[0]
         )
 
     @validator("urn", pre=True, always=True)

metadata-ingestion/src/datahub/cli/put_cli.py

@@ -105,7 +105,7 @@ def platform(
     """
 
     if name.startswith(f"urn:li:{DataPlatformUrn.ENTITY_TYPE}"):
-        platform_urn = DataPlatformUrn.create_from_string(name)
+        platform_urn = DataPlatformUrn.from_string(name)
         platform_name = platform_urn.get_entity_id_as_string()
     else:
         platform_name = name.lower()

metadata-ingestion/src/datahub/cli/specific/dataproduct_cli.py

@@ -45,7 +45,7 @@ def _get_owner_urn(maybe_urn: str) -> str:
 
 def _abort_if_non_existent_urn(graph: DataHubGraph, urn: str, operation: str) -> None:
     try:
-        parsed_urn: Urn = Urn.create_from_string(urn)
+        parsed_urn: Urn = Urn.from_string(urn)
         entity_type = parsed_urn.get_type()
     except Exception:
         click.secho(f"Provided urn {urn} does not seem valid", fg="red")

metadata-ingestion/src/datahub/emitter/mcp_patch_builder.py

@@ -1,17 +1,21 @@
 import json
+import time
 from collections import defaultdict
 from dataclasses import dataclass
 from typing import Any, Dict, Iterable, List, Optional, Sequence, Union
 
 from datahub.emitter.aspect import JSON_PATCH_CONTENT_TYPE
 from datahub.emitter.serialization_helper import pre_json_transform
 from datahub.metadata.schema_classes import (
+    AuditStampClass,
     ChangeTypeClass,
+    EdgeClass,
     GenericAspectClass,
     KafkaAuditHeaderClass,
     MetadataChangeProposalClass,
     SystemMetadataClass,
 )
+from datahub.metadata.urns import Urn
 from datahub.utilities.urns.urn import guess_entity_type
 
 
@@ -89,3 +93,42 @@ def build(self) -> Iterable[MetadataChangeProposalClass]:
             )
             for aspect_name, patches in self.patches.items()
         ]
+
+    @classmethod
+    def _mint_auditstamp(cls, message: Optional[str] = None) -> AuditStampClass:
+        """
+        Creates an AuditStampClass instance with the current timestamp and other default values.
+
+        Args:
+            message: The message associated with the audit stamp (optional).
+
+        Returns:
+            An instance of AuditStampClass.
+        """
+        return AuditStampClass(
+            time=int(time.time() * 1000.0),
+            actor="urn:li:corpuser:datahub",
+            message=message,
+        )
+
+    @classmethod
+    def _ensure_urn_type(
+        cls, entity_type: str, edges: List[EdgeClass], context: str
+    ) -> None:
+        """
+        Ensures that the destination URNs in the given edges have the specified entity type.
+
+        Args:
+            entity_type: The entity type to check against.
+            edges: A list of Edge objects.
+            context: The context or description of the operation.
+
+        Raises:
+            ValueError: If any of the destination URNs is not of the specified entity type.
+        """
+        for e in edges:
+            urn = Urn.from_string(e.destinationUrn)
+            if not urn.entity_type == entity_type:
+                raise ValueError(
+                    f"{context}: {e.destinationUrn} is not of type {entity_type}"
+                )

metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_audit.py

@@ -190,7 +190,7 @@ def from_string_name(cls, ref: str) -> "BigQueryTableRef":
     @classmethod
     def from_urn(cls, urn: str) -> "BigQueryTableRef":
         """Raises: ValueError if urn is not a valid BigQuery table URN."""
-        dataset_urn = DatasetUrn.create_from_string(urn)
+        dataset_urn = DatasetUrn.from_string(urn)
         split = dataset_urn.name.rsplit(".", 3)
         if len(split) == 3:
             project, dataset, table = split

metadata-ingestion/src/datahub/ingestion/source/csv_enricher.py

@@ -653,7 +653,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]:
 
             is_resource_row: bool = not row["subresource"]
             entity_urn = row["resource"]
-            entity_type = Urn.create_from_string(row["resource"]).get_type()
+            entity_type = Urn.from_string(row["resource"]).get_type()
 
             term_associations: List[
                 GlossaryTermAssociationClass

metadata-ingestion/src/datahub/ingestion/source/elastic_search.py

@@ -227,7 +227,7 @@ def collapse_name(name: str, collapse_urns: CollapseUrns) -> str:
 def collapse_urn(urn: str, collapse_urns: CollapseUrns) -> str:
     if len(collapse_urns.urns_suffix_regex) == 0:
         return urn
-    urn_obj = DatasetUrn.create_from_string(urn)
+    urn_obj = DatasetUrn.from_string(urn)
     name = collapse_name(name=urn_obj.get_dataset_name(), collapse_urns=collapse_urns)
     data_platform_urn = urn_obj.get_data_platform_urn()
     return str(

metadata-ingestion/src/datahub/ingestion/source/gc/soft_deleted_entity_cleanup.py

@@ -104,7 +104,7 @@ def __init__(
     def delete_entity(self, urn: str) -> None:
         assert self.ctx.graph
 
-        entity_urn = Urn.create_from_string(urn)
+        entity_urn = Urn.from_string(urn)
         self.report.num_soft_deleted_entity_removed += 1
         self.report.num_soft_deleted_entity_removed_by_type[entity_urn.entity_type] = (
             self.report.num_soft_deleted_entity_removed_by_type.get(

metadata-ingestion/src/datahub/ingestion/transformer/add_dataset_tags.py

@@ -74,7 +74,7 @@ def handle_end_of_stream(
         logger.debug("Generating tags")
 
         for tag_association in self.processed_tags.values():
-            tag_urn = TagUrn.create_from_string(tag_association.tag)
+            tag_urn = TagUrn.from_string(tag_association.tag)
             mcps.append(
                 MetadataChangeProposalWrapper(
                     entityUrn=tag_urn.urn(),

metadata-ingestion/src/datahub/ingestion/transformer/generic_aspect_transformer.py

@@ -100,7 +100,7 @@ def transform(
                         )
                         if transformed_aspect:
                             # for end of stream records, we modify the workunit-id
-                            structured_urn = Urn.create_from_string(urn)
+                            structured_urn = Urn.from_string(urn)
                             simple_name = "-".join(structured_urn.get_entity_id())
                             record_metadata = envelope.metadata.copy()
                             record_metadata.update(

metadata-ingestion/src/datahub/integrations/assertion/common.py

@@ -42,7 +42,7 @@ def get_entity_name(assertion: BaseEntityAssertion) -> Tuple[str, str, str]:
         if qualified_name is not None:
             parts = qualified_name.split(".")
         else:
-            urn_id = Urn.create_from_string(assertion.entity).entity_ids[1]
+            urn_id = Urn.from_string(assertion.entity).entity_ids[1]
             parts = urn_id.split(".")
             if len(parts) > 3:
                 parts = parts[-3:]

metadata-ingestion/src/datahub/lite/duckdb_lite.py

@@ -609,15 +609,15 @@ def get_typed_aspect(
             aspect_map, DataPlatformInstanceClass
         )  # type: ignore
 
-        needs_platform = Urn.create_from_string(entity_urn).get_type() in [
+        needs_platform = Urn.from_string(entity_urn).get_type() in [
             "dataset",
             "container",
             "chart",
             "dashboard",
             "dataFlow",
             "dataJob",
         ]
-        entity_urn_parsed = Urn.create_from_string(entity_urn)
+        entity_urn_parsed = Urn.from_string(entity_urn)
         if entity_urn_parsed.get_type() in ["dataFlow", "dataJob"]:
             self.add_edge(
                 entity_urn,
@@ -630,15 +630,12 @@ def get_typed_aspect(
             # this is a top-level entity
             if not dpi:
                 logger.debug(f"No data platform instance for {entity_urn}")
-                maybe_parent_urn = Urn.create_from_string(entity_urn).get_entity_id()[0]
+                maybe_parent_urn = Urn.from_string(entity_urn).get_entity_id()[0]
                 needs_dpi = False
                 if maybe_parent_urn.startswith(Urn.URN_PREFIX):
                     parent_urn = maybe_parent_urn
-                    if (
-                        Urn.create_from_string(maybe_parent_urn).get_type()
-                        == "dataPlatform"
-                    ):
-                        data_platform_urn = DataPlatformUrn.create_from_string(
+                    if Urn.from_string(maybe_parent_urn).get_type() == "dataPlatform":
+                        data_platform_urn = DataPlatformUrn.from_string(
                             maybe_parent_urn
                         )
                         needs_dpi = True
@@ -660,7 +657,7 @@ def get_typed_aspect(
                         logger.error(f"Failed to generate edges entity {entity_urn}", e)
                     parent_urn = str(data_platform_instance_urn)
             else:
-                data_platform_urn = DataPlatformUrn.create_from_string(dpi.platform)
+                data_platform_urn = DataPlatformUrn.from_string(dpi.platform)
                 data_platform_instance = dpi.instance or "default"
                 data_platform_instance_urn = Urn(
                     entity_type="dataPlatformInstance",
@@ -673,9 +670,7 @@ def get_typed_aspect(
             parent_urn = "__root__"
 
         types = (
-            subtypes.typeNames
-            if subtypes
-            else [Urn.create_from_string(entity_urn).get_type()]
+            subtypes.typeNames if subtypes else [Urn.from_string(entity_urn).get_type()]
         )
         for t in types:
             type_urn = Urn(entity_type="systemNode", entity_id=[parent_urn, t])
@@ -686,7 +681,7 @@ def get_typed_aspect(
     def _create_edges_from_data_platform_instance(
         self, data_platform_instance_urn: Urn
     ) -> None:
-        data_platform_urn = DataPlatformUrn.create_from_string(
+        data_platform_urn = DataPlatformUrn.from_string(
             data_platform_instance_urn.get_entity_id()[0]
         )
         data_platform_instances_urn = Urn(
@@ -735,7 +730,7 @@ def post_update_hook(
         if isinstance(aspect, DatasetPropertiesClass):
             dp: DatasetPropertiesClass = aspect
             if dp.name:
-                specific_urn = DatasetUrn.create_from_string(entity_urn)
+                specific_urn = DatasetUrn.from_string(entity_urn)
                 if (
                     specific_urn.get_data_platform_urn().get_entity_id_as_string()
                     == "looker"
@@ -755,23 +750,23 @@ def post_update_hook(
             self.add_edge(entity_urn, "name", cp.name, remove_existing=True)
         elif isinstance(aspect, DataPlatformInstanceClass):
             dpi: DataPlatformInstanceClass = aspect
-            data_platform_urn = DataPlatformUrn.create_from_string(dpi.platform)
+            data_platform_urn = DataPlatformUrn.from_string(dpi.platform)
             data_platform_instance = dpi.instance or "default"
             data_platform_instance_urn = Urn(
                 entity_type="dataPlatformInstance",
                 entity_id=[str(data_platform_urn), data_platform_instance],
             )
             self._create_edges_from_data_platform_instance(data_platform_instance_urn)
         elif isinstance(aspect, ChartInfoClass):
-            urn = Urn.create_from_string(entity_urn)
+            urn = Urn.from_string(entity_urn)
             self.add_edge(
                 entity_urn,
                 "name",
                 aspect.title + f" ({urn.get_entity_id()[-1]})",
                 remove_existing=True,
             )
         elif isinstance(aspect, DashboardInfoClass):
-            urn = Urn.create_from_string(entity_urn)
+            urn = Urn.from_string(entity_urn)
             self.add_edge(
                 entity_urn,
                 "name",

metadata-ingestion/src/datahub/specific/chart.py

@@ -1,10 +1,8 @@
-import time
 from typing import Dict, List, Optional, Union
 
 from datahub.emitter.mcp_patch_builder import MetadataPatchProposal
 from datahub.metadata.schema_classes import (
     AccessLevelClass,
-    AuditStampClass,
     ChangeAuditStampsClass,
     ChartInfoClass as ChartInfo,
     ChartTypeClass,
@@ -47,43 +45,6 @@ def __init__(
         )
         self.ownership_patch_helper = OwnershipPatchHelper(self)
 
-    def _mint_auditstamp(self, message: Optional[str] = None) -> AuditStampClass:
-        """
-        Creates an AuditStampClass instance with the current timestamp and other default values.
-
-        Args:
-            message: The message associated with the audit stamp (optional).
-
-        Returns:
-            An instance of AuditStampClass.
-        """
-        return AuditStampClass(
-            time=int(time.time() * 1000.0),
-            actor="urn:li:corpuser:datahub",
-            message=message,
-        )
-
-    def _ensure_urn_type(
-        self, entity_type: str, edges: List[Edge], context: str
-    ) -> None:
-        """
-        Ensures that the destination URNs in the given edges have the specified entity type.
-
-        Args:
-            entity_type: The entity type to check against.
-            edges: A list of Edge objects.
-            context: The context or description of the operation.
-
-        Raises:
-            ValueError: If any of the destination URNs is not of the specified entity type.
-        """
-        for e in edges:
-            urn = Urn.create_from_string(e.destinationUrn)
-            if not urn.get_type() == entity_type:
-                raise ValueError(
-                    f"{context}: {e.destinationUrn} is not of type {entity_type}"
-                )
-
     def add_owner(self, owner: Owner) -> "ChartPatchBuilder":
         """
         Adds an owner to the ChartPatchBuilder.

metadata-ingestion/src/datahub/specific/dashboard.py

@@ -1,10 +1,8 @@
-import time
 from typing import Dict, List, Optional, Union
 
 from datahub.emitter.mcp_patch_builder import MetadataPatchProposal
 from datahub.metadata.schema_classes import (
     AccessLevelClass,
-    AuditStampClass,
     ChangeAuditStampsClass,
     DashboardInfoClass as DashboardInfo,
     EdgeClass as Edge,
@@ -46,43 +44,6 @@ def __init__(
         )
         self.ownership_patch_helper = OwnershipPatchHelper(self)
 
-    def _mint_auditstamp(self, message: Optional[str] = None) -> AuditStampClass:
-        """
-        Creates an AuditStampClass instance with the current timestamp and other default values.
-
-        Args:
-            message: The message associated with the audit stamp (optional).
-
-        Returns:
-            An instance of AuditStampClass.
-        """
-        return AuditStampClass(
-            time=int(time.time() * 1000.0),
-            actor="urn:li:corpuser:datahub",
-            message=message,
-        )
-
-    def _ensure_urn_type(
-        self, entity_type: str, edges: List[Edge], context: str
-    ) -> None:
-        """
-        Ensures that the destination URNs in the given edges have the specified entity type.
-
-        Args:
-            entity_type: The entity type to check against.
-            edges: A list of Edge objects.
-            context: The context or description of the operation.
-
-        Raises:
-            ValueError: If any of the destination URNs is not of the specified entity type.
-        """
-        for e in edges:
-            urn = Urn.create_from_string(e.destinationUrn)
-            if not urn.get_type() == entity_type:
-                raise ValueError(
-                    f"{context}: {e.destinationUrn} is not of type {entity_type}"
-                )
-
     def add_owner(self, owner: Owner) -> "DashboardPatchBuilder":
         """
         Adds an owner to the DashboardPatchBuilder.