Define TaskInstanceKey in task-sdk to support client server separation

providers/alibaba/pyproject.toml

@@ -59,7 +59,7 @@ requires-python = ">=3.10"
 # After you modify the dependencies, and rebuild your Breeze CI image with ``breeze ci-image build``
 dependencies = [
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
     "oss2>=2.14.0",
     "alibabacloud_adb20211201>=1.0.0",
     "alibabacloud_tea_openapi>=0.3.7",

providers/alibaba/src/airflow/providers/alibaba/cloud/links/maxcompute.py

@@ -21,8 +21,7 @@
 from airflow.providers.common.compat.sdk import BaseOperatorLink, XCom
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import BaseOperator
+    from airflow.providers.common.compat.sdk import BaseOperator, TaskInstanceKey
     from airflow.sdk import Context
 
 

providers/amazon/pyproject.toml

@@ -59,7 +59,7 @@ requires-python = ">=3.10"
 # After you modify the dependencies, and rebuild your Breeze CI image with ``breeze ci-image build``
 dependencies = [
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
     "apache-airflow-providers-common-sql>=1.27.0",
     "apache-airflow-providers-http",
     # We should update minimum version of boto3 and here regularly to avoid `pip` backtracking with the number

providers/amazon/src/airflow/providers/amazon/aws/links/base_aws.py

@@ -24,7 +24,7 @@
 
 if TYPE_CHECKING:
     from airflow.models import BaseOperator
-    from airflow.models.taskinstancekey import TaskInstanceKey
+    from airflow.providers.common.compat.sdk import TaskInstanceKey
     from airflow.sdk import Context
 
 

providers/celery/pyproject.toml

@@ -59,7 +59,7 @@ requires-python = ">=3.10"
 # After you modify the dependencies, and rebuild your Breeze CI image with ``breeze ci-image build``
 dependencies = [
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
     # The Celery is known to introduce problems when upgraded to a MAJOR version. Airflow Core
     # Uses Celery for CeleryExecutor, and we also know that Kubernetes Python client follows SemVer
     # (https://docs.celeryq.dev/en/stable/contributing.html?highlight=semver#versions).

providers/celery/tests/integration/celery/test_celery_executor.py

@@ -43,8 +43,7 @@
 from airflow.executors import workloads
 from airflow.models.dag import DAG
 from airflow.models.taskinstance import TaskInstance
-from airflow.models.taskinstancekey import TaskInstanceKey
-from airflow.providers.common.compat.sdk import AirflowException, AirflowTaskTimeout
+from airflow.providers.common.compat.sdk import AirflowException, AirflowTaskTimeout, TaskInstanceKey
 from airflow.providers.standard.operators.bash import BashOperator
 from airflow.utils.state import State
 

providers/cncf/kubernetes/pyproject.toml

@@ -60,7 +60,7 @@ requires-python = ">=3.10"
 dependencies = [
     "aiofiles>=23.2.0",
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.10.1",
+    "apache-airflow-providers-common-compat>=1.10.1",  # use next version
     "asgiref>=3.5.2",
     # TODO(potiuk): We should bump cryptography to >=46.0.0 when sqlalchemy>=2.0 is required
     "cryptography>=41.0.0,<46.0.0",

providers/cncf/kubernetes/src/airflow/providers/cncf/kubernetes/kubernetes_helper_functions.py

@@ -166,7 +166,8 @@ def annotations_to_key(annotations: dict[str, str]) -> TaskInstanceKey:
 
     # Compat: Look up the run_id from the TI table!
     from airflow.models.dagrun import DagRun
-    from airflow.models.taskinstance import TaskInstance, TaskInstanceKey
+    from airflow.models.taskinstance import TaskInstance
+    from airflow.models.taskinstancekey import TaskInstanceKey
     from airflow.settings import Session
 
     logical_date_key = get_logical_date_key()

providers/common/compat/src/airflow/providers/common/compat/sdk.py

@@ -111,6 +111,7 @@
     )
     from airflow.sdk.execution_time.timeout import timeout as timeout
     from airflow.sdk.execution_time.xcom import XCom as XCom
+    from airflow.sdk.types import TaskInstanceKey as TaskInstanceKey
 
 
 from airflow.providers.common.compat._compat_utils import create_module_getattr
@@ -185,6 +186,7 @@
     # Operator Links & Task Groups
     # ============================================================================
     "BaseOperatorLink": ("airflow.sdk", "airflow.models.baseoperatorlink"),
+    "TaskInstanceKey": ("airflow.sdk.types", "airflow.models.taskinstancekey"),
     "TaskGroup": ("airflow.sdk", "airflow.utils.task_group"),
     # ============================================================================
     # Operator Utilities (chain, cross_downstream, etc.)

providers/databricks/pyproject.toml

@@ -59,7 +59,7 @@ requires-python = ">=3.10"
 # After you modify the dependencies, and rebuild your Breeze CI image with ``breeze ci-image build``
 dependencies = [
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
     "apache-airflow-providers-common-sql>=1.27.0",
     "requests>=2.32.0,<3",
     "databricks-sql-connector>=4.0.0",

providers/databricks/src/airflow/providers/databricks/operators/databricks.py

@@ -53,7 +53,7 @@
 from airflow.providers.databricks.version_compat import AIRFLOW_V_3_0_PLUS
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
+    from airflow.providers.common.compat.sdk import TaskInstanceKey
     from airflow.providers.databricks.operators.databricks_workflow import (
         DatabricksWorkflowTaskGroup,
     )

providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py

@@ -298,7 +298,7 @@ def xcom_key(self) -> str:
         """XCom key where the link is stored during task execution."""
         return "databricks_job_run_link"
 
-    def get_link(
+    def get_link(  # type: ignore[override]  # Signature intentionally kept this way for Airflow 2.x compatibility
         self,
         operator: BaseOperator,
         dttm=None,
@@ -374,7 +374,7 @@ class WorkflowJobRepairAllFailedLink(BaseOperatorLink, LoggingMixin):
 
     name = "Repair All Failed Tasks"
 
-    def get_link(
+    def get_link(  # type: ignore[override]  # Signature intentionally kept this way for Airflow 2.x compatibility
         self,
         operator,
         dttm=None,
@@ -471,7 +471,7 @@ class WorkflowJobRepairSingleTaskLink(BaseOperatorLink, LoggingMixin):
 
     name = "Repair a single task"
 
-    def get_link(
+    def get_link(  # type: ignore[override]  # Signature intentionally kept this way for Airflow 2.x compatibility
         self,
         operator,
         dttm=None,

providers/edge3/src/airflow/providers/edge3/cli/api_client.py

@@ -45,7 +45,7 @@
 )
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
+    from airflow.providers.common.compat.sdk import TaskInstanceKey
     from airflow.providers.edge3.models.edge_worker import EdgeWorkerState
     from airflow.utils.state import TaskInstanceState
 

providers/edge3/src/airflow/providers/edge3/models/edge_job.py

@@ -27,8 +27,7 @@
 from sqlalchemy.orm import Mapped
 
 from airflow.models.base import Base, StringID
-from airflow.models.taskinstancekey import TaskInstanceKey
-from airflow.providers.common.compat.sdk import timezone
+from airflow.providers.common.compat.sdk import TaskInstanceKey, timezone
 from airflow.providers.common.compat.sqlalchemy.orm import mapped_column
 from airflow.utils.log.logging_mixin import LoggingMixin
 from airflow.utils.sqlalchemy import UtcDateTime

providers/edge3/src/airflow/providers/edge3/worker_api/datamodels.py

@@ -26,7 +26,7 @@
 from pydantic import BaseModel, Field
 
 from airflow.executors.workloads import ExecuteTask  # noqa: TCH001
-from airflow.models.taskinstancekey import TaskInstanceKey
+from airflow.providers.common.compat.sdk import TaskInstanceKey
 from airflow.providers.edge3.models.edge_worker import EdgeWorkerState  # noqa: TCH001
 
 

providers/edge3/src/airflow/providers/edge3/worker_api/routes/logs.py

@@ -28,7 +28,7 @@
 from airflow.api_fastapi.core_api.openapi.exceptions import create_openapi_http_exception_doc
 from airflow.configuration import conf
 from airflow.models.taskinstance import TaskInstance
-from airflow.models.taskinstancekey import TaskInstanceKey
+from airflow.providers.common.compat.sdk import TaskInstanceKey
 from airflow.providers.edge3.models.edge_logs import EdgeLogsModel
 from airflow.providers.edge3.worker_api.auth import jwt_token_authorization_rest
 from airflow.providers.edge3.worker_api.datamodels import PushLogsBody, WorkerApiDocs

providers/google/pyproject.toml

@@ -59,7 +59,7 @@ requires-python = ">=3.10"
 # After you modify the dependencies, and rebuild your Breeze CI image with ``breeze ci-image build``
 dependencies = [
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
     "apache-airflow-providers-common-sql>=1.27.0",
     "asgiref>=3.5.2",
     "dill>=0.2.3",

providers/google/src/airflow/providers/google/cloud/links/base.py

@@ -24,8 +24,7 @@
 from airflow.providers.google.version_compat import AIRFLOW_V_3_0_PLUS, BaseOperator
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import Context
+    from airflow.providers.common.compat.sdk import Context, TaskInstanceKey
     from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
 
 BASE_LINK = "https://console.cloud.google.com"

providers/google/src/airflow/providers/google/cloud/links/dataproc.py

@@ -29,8 +29,7 @@
 from airflow.providers.google.cloud.links.base import BASE_LINK, BaseGoogleLink
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import Context
+    from airflow.providers.common.compat.sdk import Context, TaskInstanceKey
     from airflow.providers.google.version_compat import BaseOperator
 
 

providers/google/src/airflow/providers/google/cloud/operators/dataproc_metastore.py

@@ -39,8 +39,7 @@
 if TYPE_CHECKING:
     from google.protobuf.field_mask_pb2 import FieldMask
 
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import Context
+    from airflow.providers.common.compat.sdk import Context, TaskInstanceKey
     from airflow.providers.google.version_compat import BaseOperator
 
 BASE_LINK = "https://console.cloud.google.com"

providers/google/src/airflow/providers/google/marketing_platform/links/analytics_admin.py

@@ -21,8 +21,7 @@
 from airflow.providers.common.compat.sdk import BaseOperatorLink, XCom
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import Context
+    from airflow.providers.common.compat.sdk import Context, TaskInstanceKey
     from airflow.providers.google.version_compat import BaseOperator
 
 

providers/microsoft/azure/pyproject.toml

@@ -59,7 +59,7 @@ requires-python = ">=3.10"
 # After you modify the dependencies, and rebuild your Breeze CI image with ``breeze ci-image build``
 dependencies = [
     "apache-airflow>=2.11.0",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
     "adlfs>=2023.10.0",
     "azure-batch>=8.0.0",
     "azure-cosmos>=4.6.0",

providers/microsoft/azure/src/airflow/providers/microsoft/azure/operators/data_factory.py

@@ -40,7 +40,7 @@
 from airflow.utils.log.logging_mixin import LoggingMixin
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
+    from airflow.providers.common.compat.sdk import TaskInstanceKey
     from airflow.sdk import Context
 
 

providers/microsoft/azure/src/airflow/providers/microsoft/azure/operators/powerbi.py

@@ -31,7 +31,7 @@
 if TYPE_CHECKING:
     from msgraph_core import APIVersion
 
-    from airflow.models.taskinstancekey import TaskInstanceKey
+    from airflow.providers.common.compat.sdk import TaskInstanceKey
     from airflow.sdk import Context
 
 

providers/microsoft/azure/src/airflow/providers/microsoft/azure/operators/synapse.py

@@ -39,7 +39,7 @@
 if TYPE_CHECKING:
     from azure.synapse.spark.models import SparkBatchJobOptions
 
-    from airflow.models.taskinstancekey import TaskInstanceKey
+    from airflow.providers.common.compat.sdk import TaskInstanceKey
     from airflow.sdk import Context
 
 

providers/standard/src/airflow/providers/standard/operators/trigger_dagrun.py

@@ -58,8 +58,7 @@
 if TYPE_CHECKING:
     from sqlalchemy.orm.session import Session
 
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import Context
+    from airflow.providers.common.compat.sdk import Context, TaskInstanceKey
 
 
 class DagIsPaused(AirflowException):
@@ -89,8 +88,17 @@ def get_link(self, operator: BaseOperator, *, ti_key: TaskInstanceKey) -> str:
         trigger_dag_id = operator.trigger_dag_id
         if not AIRFLOW_V_3_0_PLUS:
             from airflow.models.renderedtifields import RenderedTaskInstanceFields
+            from airflow.models.taskinstancekey import TaskInstanceKey as CoreTaskInstanceKey
+
+            core_ti_key = CoreTaskInstanceKey(
+                dag_id=ti_key.dag_id,
+                task_id=ti_key.task_id,
+                run_id=ti_key.run_id,
+                try_number=ti_key.try_number,
+                map_index=ti_key.map_index,
+            )
 
-            if template_fields := RenderedTaskInstanceFields.get_templated_fields(ti_key):
+            if template_fields := RenderedTaskInstanceFields.get_templated_fields(core_ti_key):
                 trigger_dag_id: str = template_fields.get("trigger_dag_id", operator.trigger_dag_id)  # type: ignore[no-redef]
 
         # Fetch the correct dag_run_id for the triggerED dag which is

providers/standard/src/airflow/providers/standard/sensors/external_task.py

@@ -62,8 +62,7 @@
 if TYPE_CHECKING:
     from sqlalchemy.orm import Session
 
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import Context
+    from airflow.providers.common.compat.sdk import Context, TaskInstanceKey
 
 
 class ExternalDagLink(BaseOperatorLink):
@@ -83,8 +82,17 @@ def get_link(self, operator: BaseOperator, *, ti_key: TaskInstanceKey) -> str:
 
         if not AIRFLOW_V_3_0_PLUS:
             from airflow.models.renderedtifields import RenderedTaskInstanceFields
+            from airflow.models.taskinstancekey import TaskInstanceKey as CoreTaskInstanceKey
+
+            core_ti_key = CoreTaskInstanceKey(
+                dag_id=ti_key.dag_id,
+                task_id=ti_key.task_id,
+                run_id=ti_key.run_id,
+                try_number=ti_key.try_number,
+                map_index=ti_key.map_index,
+            )
 
-            if template_fields := RenderedTaskInstanceFields.get_templated_fields(ti_key):
+            if template_fields := RenderedTaskInstanceFields.get_templated_fields(core_ti_key):
                 external_dag_id: str = template_fields.get("external_dag_id", operator.external_dag_id)  # type: ignore[no-redef]
 
         if AIRFLOW_V_3_0_PLUS:

providers/yandex/pyproject.toml

@@ -60,7 +60,7 @@ dependencies = [
     "apache-airflow>=2.11.0",
     "yandexcloud>=0.308.0; python_version < '3.13'",
     "yandex-query-client>=0.1.4; python_version < '3.13'",
-    "apache-airflow-providers-common-compat>=1.12.0",
+    "apache-airflow-providers-common-compat>=1.12.0",  # use next version
 ]
 
 [dependency-groups]

providers/yandex/src/airflow/providers/yandex/links/yq.py

@@ -21,8 +21,7 @@
 from airflow.providers.common.compat.sdk import BaseOperatorLink, XCom
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
-    from airflow.providers.common.compat.sdk import BaseOperator, Context
+    from airflow.providers.common.compat.sdk import BaseOperator, Context, TaskInstanceKey
 
 XCOM_WEBLINK_KEY = "web_link"
 

task-sdk/src/airflow/sdk/bases/operatorlink.py

@@ -23,8 +23,8 @@
 import attrs
 
 if TYPE_CHECKING:
-    from airflow.models.taskinstancekey import TaskInstanceKey
     from airflow.sdk import BaseOperator
+    from airflow.sdk.types import TaskInstanceKey
 
 
 @attrs.define()

task-sdk/src/airflow/sdk/types.py

@@ -19,7 +19,7 @@
 
 import uuid
 from collections.abc import Iterable
-from typing import TYPE_CHECKING, Any, Protocol, TypeAlias
+from typing import TYPE_CHECKING, Any, NamedTuple, Protocol, TypeAlias
 
 from airflow.sdk.bases.xcom import BaseXCom
 from airflow.sdk.definitions._internal.types import NOTSET, ArgNotSet
@@ -39,6 +39,39 @@
     Operator: TypeAlias = BaseOperator | MappedOperator
 
 
+class TaskInstanceKey(NamedTuple):
+    """Key used to identify task instance."""
+
+    dag_id: str
+    task_id: str
+    run_id: str
+    try_number: int = 1
+    map_index: int = -1
+
+    @property
+    def primary(self) -> tuple[str, str, str, int]:
+        """Return task instance primary key part of the key."""
+        return self.dag_id, self.task_id, self.run_id, self.map_index
+
+    def with_try_number(self, try_number: int) -> TaskInstanceKey:
+        """Return TaskInstanceKey with provided ``try_number``."""
+        return TaskInstanceKey(self.dag_id, self.task_id, self.run_id, try_number, self.map_index)
+
+    @property
+    def key(self) -> TaskInstanceKey:
+        """
+        For API-compatibility with TaskInstance.
+
+        Returns self
+        """
+        return self
+
+    @classmethod
+    def from_dict(cls, dictionary):
+        """Create TaskInstanceKey from dictionary."""
+        return cls(**dictionary)
+
+
 class DagRunProtocol(Protocol):
     """Minimal interface for a Dag run available during the execution."""