Merge branch 'datahub-project:master' into master

.github/workflows/dagster-plugin.yml

@@ -30,11 +30,11 @@ jobs:
       DATAHUB_TELEMETRY_ENABLED: false
     strategy:
       matrix:
-        python-version: ["3.9", "3.10"]
+        python-version: ["3.9", "3.11"]
         include:
           - python-version: "3.9"
             extraPythonRequirement: "dagster>=1.3.3"
-          - python-version: "3.10"
+          - python-version: "3.11"
             extraPythonRequirement: "dagster>=1.3.3"
       fail-fast: false
     steps:
@@ -57,7 +57,7 @@ jobs:
         if: always()
         run: source metadata-ingestion-modules/dagster-plugin/venv/bin/activate && uv pip freeze
       - uses: actions/upload-artifact@v4
-        if: ${{ always() && matrix.python-version == '3.10' && matrix.extraPythonRequirement == 'dagster>=1.3.3' }}
+        if: ${{ always() && matrix.python-version == '3.11' && matrix.extraPythonRequirement == 'dagster>=1.3.3' }}
         with:
           name: Test Results (dagster Plugin ${{ matrix.python-version}})
           path: |

.github/workflows/metadata-ingestion.yml

@@ -33,7 +33,7 @@ jobs:
       # DATAHUB_LOOKML_GIT_TEST_SSH_KEY: ${{ secrets.DATAHUB_LOOKML_GIT_TEST_SSH_KEY }}
     strategy:
       matrix:
-        python-version: ["3.8", "3.10"]
+        python-version: ["3.8", "3.11"]
         command:
           [
             "testQuick",
@@ -43,7 +43,7 @@ jobs:
           ]
         include:
           - python-version: "3.8"
-          - python-version: "3.10"
+          - python-version: "3.11"
       fail-fast: false
     steps:
       - name: Free up disk space

.github/workflows/prefect-plugin.yml

@@ -30,7 +30,7 @@ jobs:
       DATAHUB_TELEMETRY_ENABLED: false
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     steps:
       - name: Set up JDK 17
@@ -52,7 +52,7 @@ jobs:
         if: always()
         run: source metadata-ingestion-modules/prefect-plugin/venv/bin/activate && uv pip freeze
       - uses: actions/upload-artifact@v4
-        if: ${{ always() && matrix.python-version == '3.10'}}
+        if: ${{ always() && matrix.python-version == '3.11'}}
         with:
           name: Test Results (Prefect Plugin ${{ matrix.python-version}})
           path: |

docs-website/src/styles/global.scss

@@ -109,7 +109,7 @@ div[class^="announcementBar"] {
   div {
     display: flex;
     align-items: center;
-    padding: 0 1rem;
+    padding: 0 .5rem;
     justify-content: space-between;
     font-size: 1rem;
 
@@ -156,7 +156,10 @@ div[class^="announcementBar"] {
     a {
       color: #EFB300;
       text-decoration: none;
-      font-size: 1rem
+      font-size: 1rem;
+      padding-right: 0;
+      padding-left: 12px;
+      min-width: 108px;
     }
   }
 }

metadata-ingestion-modules/airflow-plugin/setup.py

@@ -148,10 +148,6 @@ def get_long_description():
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3 :: Only",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
-        "Programming Language :: Python :: 3.11",
         "Intended Audience :: Developers",
         "Intended Audience :: Information Technology",
         "Intended Audience :: System Administrators",

metadata-ingestion-modules/dagster-plugin/README.md

@@ -1,4 +1,3 @@
 # Datahub Dagster Plugin
 
-See the DataHub Dagster docs for details.
-
+See the [DataHub Dagster docs](https://datahubproject.io/docs/lineage/dagster/) for details.

metadata-ingestion-modules/dagster-plugin/setup.py

@@ -107,9 +107,6 @@ def get_long_description():
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3 :: Only",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
         "Intended Audience :: Developers",
         "Intended Audience :: Information Technology",
         "Intended Audience :: System Administrators",

metadata-ingestion-modules/gx-plugin/README.md

@@ -1,4 +1,3 @@
 # Datahub GX Plugin
 
-See the DataHub GX docs for details.
-
+See the [DataHub GX docs](https://datahubproject.io/docs/metadata-ingestion/integration_docs/great-expectations) for details.

metadata-ingestion-modules/gx-plugin/setup.py

@@ -118,9 +118,6 @@ def get_long_description():
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3 :: Only",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
         "Intended Audience :: Developers",
         "Intended Audience :: Information Technology",
         "Intended Audience :: System Administrators",

metadata-ingestion-modules/prefect-plugin/README.md

@@ -28,7 +28,7 @@ The `prefect-datahub` collection allows you to easily integrate DataHub's metada
 
 ## Prerequisites
 
-- Python 3.7+
+- Python 3.8+
 - Prefect 2.0.0+ and < 3.0.0+
 - A running instance of DataHub
 

metadata-ingestion-modules/prefect-plugin/setup.py

@@ -103,10 +103,6 @@ def get_long_description():
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3 :: Only",
-        "Programming Language :: Python :: 3.7",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
         "Intended Audience :: Developers",
         "Intended Audience :: Information Technology",
         "Intended Audience :: System Administrators",
@@ -120,7 +116,7 @@ def get_long_description():
     ],
     # Package info.
     zip_safe=False,
-    python_requires=">=3.7",
+    python_requires=">=3.8",
     package_dir={"": "src"},
     packages=setuptools.find_namespace_packages(where="./src"),
     entry_points=entry_points,

metadata-ingestion/scripts/avro_codegen.py

@@ -154,7 +154,6 @@ def merge_schemas(schemas_obj: List[dict]) -> str:
     # Patch add_name method to NOT complain about duplicate names.
     class NamesWithDups(avro.schema.Names):
         def add_name(self, name_attr, space_attr, new_schema):
-
             to_add = avro.schema.Name(name_attr, space_attr, self.default_namespace)
             assert to_add.name
             assert to_add.space
@@ -626,7 +625,7 @@ def generate_urn_class(entity_type: str, key_aspect: dict) -> str:
 
 class {class_name}(_SpecificUrn):
     ENTITY_TYPE: ClassVar[str] = "{entity_type}"
-    URN_PARTS: ClassVar[int] = {arg_count}
+    _URN_PARTS: ClassVar[int] = {arg_count}
 
     def __init__(self, {init_args}, *, _allow_coercion: bool = True) -> None:
         if _allow_coercion:
@@ -640,8 +639,8 @@ def __init__(self, {init_args}, *, _allow_coercion: bool = True) -> None:
 
     @classmethod
     def _parse_ids(cls, entity_ids: List[str]) -> "{class_name}":
-        if len(entity_ids) != cls.URN_PARTS:
-            raise InvalidUrnError(f"{class_name} should have {{cls.URN_PARTS}} parts, got {{len(entity_ids)}}: {{entity_ids}}")
+        if len(entity_ids) != cls._URN_PARTS:
+            raise InvalidUrnError(f"{class_name} should have {{cls._URN_PARTS}} parts, got {{len(entity_ids)}}: {{entity_ids}}")
         return cls({parse_ids_mapping}, _allow_coercion=False)
 
     @classmethod

metadata-ingestion/setup.py

@@ -15,7 +15,7 @@
 
 base_requirements = {
     # Our min version of typing_extensions is somewhat constrained by Airflow.
-    "typing_extensions>=3.10.0.2",
+    "typing_extensions>=4.2.0",
     # Actual dependencies.
     "typing-inspect",
     # pydantic 1.8.2 is incompatible with mypy 0.910.
@@ -298,8 +298,8 @@
 }
 
 data_lake_profiling = {
-    "pydeequ~=1.1.0",
-    "pyspark~=3.3.0",
+    "pydeequ>=1.1.0",
+    "pyspark~=3.5.0",
 }
 
 delta_lake = {
@@ -318,7 +318,7 @@
     # 0.1.11 appears to have authentication issues with azure databricks
     # 0.22.0 has support for `include_browse` in metadata list apis
     "databricks-sdk>=0.30.0",
-    "pyspark~=3.3.0",
+    "pyspark~=3.5.0",
     "requests",
     # Version 2.4.0 includes sqlalchemy dialect, 2.8.0 includes some bug fixes
     # Version 3.0.0 required SQLAlchemy > 2.0.21
@@ -874,9 +874,6 @@
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3 :: Only",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
         "Intended Audience :: Developers",
         "Intended Audience :: Information Technology",
         "Intended Audience :: System Administrators",
@@ -917,6 +914,7 @@
                         "sync-file-emitter",
                         "sql-parser",
                         "iceberg",
+                        "feast",
                     }
                     else set()
                 )

metadata-ingestion/src/datahub/api/circuit_breaker/assertion_circuit_breaker.py

@@ -1,6 +1,6 @@
 import logging
 from dataclasses import dataclass
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from typing import Any, Dict, List, Optional
 
 from pydantic import Field
@@ -10,6 +10,7 @@
     CircuitBreakerConfig,
 )
 from datahub.api.graphql import Assertion, Operation
+from datahub.emitter.mce_builder import parse_ts_millis
 
 logger: logging.Logger = logging.getLogger(__name__)
 
@@ -49,7 +50,7 @@ def get_last_updated(self, urn: str) -> Optional[datetime]:
         if not operations:
             return None
         else:
-            return datetime.fromtimestamp(operations[0]["lastUpdatedTimestamp"] / 1000)
+            return parse_ts_millis(operations[0]["lastUpdatedTimestamp"])
 
     def _check_if_assertion_failed(
         self, assertions: List[Dict[str, Any]], last_updated: Optional[datetime] = None
@@ -93,7 +94,7 @@ class AssertionResult:
                 logger.info(f"Found successful assertion: {assertion_urn}")
                 result = False
             if last_updated is not None:
-                last_run = datetime.fromtimestamp(last_assertion.time / 1000)
+                last_run = parse_ts_millis(last_assertion.time)
                 if last_updated > last_run:
                     logger.error(
                         f"Missing assertion run for {assertion_urn}. The dataset was updated on {last_updated} but the last assertion run was at {last_run}"
@@ -117,7 +118,7 @@ def is_circuit_breaker_active(self, urn: str) -> bool:
             )
 
         if not last_updated:
-            last_updated = datetime.now() - self.config.time_delta
+            last_updated = datetime.now(tz=timezone.utc) - self.config.time_delta
             logger.info(
                 f"Dataset {urn} doesn't have last updated or check_last_assertion_time is false, using calculated min assertion date {last_updated}"
             )

metadata-ingestion/src/datahub/configuration/common.py

@@ -10,7 +10,6 @@
     List,
     Optional,
     Type,
-    TypeVar,
     Union,
     runtime_checkable,
 )
@@ -19,14 +18,12 @@
 from cached_property import cached_property
 from pydantic import BaseModel, Extra, ValidationError
 from pydantic.fields import Field
-from typing_extensions import Protocol
+from typing_extensions import Protocol, Self
 
 from datahub.configuration._config_enum import ConfigEnum as ConfigEnum  # noqa: I250
 from datahub.configuration.pydantic_migration_helpers import PYDANTIC_VERSION_2
 from datahub.utilities.dedup_list import deduplicate_list
 
-_ConfigSelf = TypeVar("_ConfigSelf", bound="ConfigModel")
-
 REDACT_KEYS = {
     "password",
     "token",
@@ -109,7 +106,7 @@ def _schema_extra(schema: Dict[str, Any], model: Type["ConfigModel"]) -> None:
             schema_extra = _schema_extra
 
     @classmethod
-    def parse_obj_allow_extras(cls: Type[_ConfigSelf], obj: Any) -> _ConfigSelf:
+    def parse_obj_allow_extras(cls, obj: Any) -> Self:
         if PYDANTIC_VERSION_2:
             try:
                 with unittest.mock.patch.dict(

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

@@ -6,7 +6,7 @@
 import os
 import re
 import time
-from datetime import datetime
+from datetime import datetime, timezone
 from enum import Enum
 from typing import (
     TYPE_CHECKING,
@@ -103,6 +103,22 @@ def make_ts_millis(ts: Optional[datetime]) -> Optional[int]:
     return int(ts.timestamp() * 1000)
 
 
+@overload
+def parse_ts_millis(ts: float) -> datetime:
+    ...
+
+
+@overload
+def parse_ts_millis(ts: None) -> None:
+    ...
+
+
+def parse_ts_millis(ts: Optional[float]) -> Optional[datetime]:
+    if ts is None:
+        return None
+    return datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
+
+
 def make_data_platform_urn(platform: str) -> str:
     if platform.startswith("urn:li:dataPlatform:"):
         return platform

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

@@ -4,8 +4,8 @@
 from pydantic.main import BaseModel
 
 from datahub.cli.env_utils import get_boolean_env_variable
-from datahub.emitter.enum_helpers import get_enum_options
 from datahub.emitter.mce_builder import (
+    ALL_ENV_TYPES,
     Aspect,
     datahub_guid,
     make_container_urn,
@@ -25,7 +25,6 @@
     ContainerClass,
     DomainsClass,
     EmbedClass,
-    FabricTypeClass,
     GlobalTagsClass,
     MetadataChangeEventClass,
     OwnerClass,
@@ -206,11 +205,7 @@ def gen_containers(
     # Extra validation on the env field.
     # In certain cases (mainly for backwards compatibility), the env field will actually
     # have a platform instance name.
-    env = (
-        container_key.env
-        if container_key.env in get_enum_options(FabricTypeClass)
-        else None
-    )
+    env = container_key.env if container_key.env in ALL_ENV_TYPES else None
 
     container_urn = container_key.as_urn()