PrakshiGoyal10 commented on code in PR #69998:
URL: https://github.com/apache/airflow/pull/69998#discussion_r3949124386
##########
providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py:
##########
@@ -515,6 +574,311 @@ def get_link( # type: ignore[override] # Signature
intentionally kept this way
return url_for("RepairDatabricksTasks.repair", **query_params)
+# Airflow-3 repair backend. Flask-AppBuilder was dropped in Airflow 3, so the
repair
+# action is re-implemented as a FastAPI sub-application mounted on the API
server, and the
+# repair links (below) build URLs that point at it.
+REPAIR_URL_PREFIX = "/databricks/workflow/repair"
+
+
+def _build_repair_url(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ *,
+ repair_all: bool = False,
+ task_id: str | None = None,
+) -> str:
+ """
+ Build the URL to the Airflow-3 FastAPI repair confirmation page for a
workflow run.
+
+ The URL carries only Airflow identifiers: the run's launch ``task_id``
(from which the
+ endpoint reads the trusted ``WorkflowRunMetadata`` XCom) and, for a
single-task repair, the
+ target ``task_id``. The Databricks connection, run id, and task keys are
never placed in the
+ link — the endpoint derives them server-side, so the request cannot point
the repair at an
+ arbitrary connection or Databricks run.
+ """
+ query: dict[str, Any] = {"launch_task_id": launch_task_id}
+ if repair_all:
+ query["repair_all"] = "true"
+ if task_id:
+ query["task_id"] = task_id
+
+ # Same-site relative path only. Using the full ``[api] base_url`` (scheme
+ host) would make
+ # the confirmation POST cross-origin when that setting names a different
domain than the UI,
+ # and SameSite=Lax would then withhold the auth cookie.
+ return (
+ f"{_api_root_path()}{REPAIR_URL_PREFIX}/{quote(dag_id, safe='')}/"
+ f"{quote(run_id, safe='')}?{urlencode(query)}"
+ )
+
+
+def _api_root_path() -> str:
+ """Path prefix from ``[api] base_url``, or empty when the API is mounted
at the origin root."""
+ return urlsplit(conf.get("api", "base_url", fallback="") or
"").path.rstrip("/")
+
+
+def _ui_run_path(dag_id: str, run_id: str) -> str:
+ """Same-site relative path to the Dag run in the UI, including the API
root path if set."""
+ return f"{_api_root_path()}/dags/{quote(dag_id,
safe='')}/runs/{quote(run_id, safe='')}"
+
+
+def _get_launch_task_id_v3(operator: BaseOperator, ti_key: TaskInstanceKey) ->
str | None:
+ """
+ Resolve the ``task_id`` of the workflow's launch task for an extra-link
render.
+
+ Works on both live operators and deserialized ones.
``SerializedTaskGroup`` has no
+ ``get_child_by_label``, so this never calls it. Returns ``None`` when the
launch task
+ cannot be found (so the link is not rendered).
+ """
+ if ti_key.task_id.endswith(".launch"):
+ return ti_key.task_id
+
+ for tid in getattr(operator, "upstream_task_ids", ()) or ():
+ if tid.endswith(".launch"):
+ return tid
+
+ task_group = getattr(operator, "task_group", None)
+ while task_group is not None:
+ child_id = getattr(task_group, "child_id", None)
+ children = getattr(task_group, "children", None)
+ if callable(child_id) and children is not None:
+ launch_id = child_id("launch")
+ if launch_id in children:
+ child = children[launch_id]
+ return getattr(child, "task_id", launch_id)
+ task_group = getattr(task_group, "parent_group", None)
+ return None
+
+
+if AIRFLOW_V_3_1_PLUS:
+ from fastapi import Depends, FastAPI, HTTPException, Request
+ from fastapi.responses import HTMLResponse, RedirectResponse
+ from markupsafe import escape
+
+ from airflow.api_fastapi.auth.managers.base_auth_manager import
COOKIE_NAME_JWT_TOKEN
+ from airflow.api_fastapi.auth.managers.models.resource_details import
DagAccessEntity, DagDetails
+ from airflow.api_fastapi.core_api.security import resolve_user_from_token
+
+ repair_app = FastAPI(
+ title="Databricks Workflow Repair",
+ description="Repair failed tasks of a Databricks workflow run from
Airflow.",
+ )
+
+ async def _resolve_request_user(request: Request):
+ """Authenticate via the bearer header (UI XHR) or the ``_token``
cookie (link navigation)."""
+ token = None
+ auth_header = request.headers.get("Authorization", "")
+ if auth_header.lower().startswith("bearer "):
+ token = auth_header.split(" ", 1)[1]
+ if not token:
+ token = request.cookies.get(COOKIE_NAME_JWT_TOKEN)
+ # resolve_user_from_token raises HTTP 401 for a missing/invalid token.
+ return await resolve_user_from_token(token)
+
+ async def _require_dag_run_edit(dag_id: str, request: Request):
+ from airflow.api_fastapi.app import get_auth_manager
+
+ user = await _resolve_request_user(request)
+ authorized = get_auth_manager().is_authorized_dag(
+ method="PUT",
+ access_entity=DagAccessEntity.RUN,
+ details=DagDetails(id=dag_id),
+ user=user,
+ )
+ if not authorized:
+ raise HTTPException(status_code=403, detail="Not authorized to
repair runs of this Dag.")
+ return user
+
+ def _task_id_to_key(dag_id: str, task_id: str, task_key_map: dict[str,
str]) -> str:
+ """
+ Resolve a task's Databricks ``task_key`` from the launch task's
trusted key map.
+
+ An explicit ``databricks_task_key`` does not survive Dag
serialization, so the serialized
+ task can't be trusted to reproduce it. The launch task captured the
real keys from the live
+ operators into ``task_key_map``. Runs launched before that map existed
fall back to the
+ operator's default derivation, ``md5(dag_id__task_id)`` — correct for
any task that did not
+ set an explicit key (the common case).
+ """
+ mapped = task_key_map.get(task_id)
+ if mapped:
+ return mapped
+ import hashlib
+
+ return hashlib.md5(f"{dag_id}__{task_id}".encode()).hexdigest()
+
+ def _read_launch_metadata(dag_id: str, run_id: str, launch_task_id: str,
session) -> Any:
+ """
+ Read the launch task's trusted ``WorkflowRunMetadata`` XCom (conn_id,
job_id, run_id).
+
+ The Databricks connection and run id come from here — never from the
request — so a crafted
+ link cannot redirect the repair at an arbitrary connection or
Databricks run.
+ """
+ from airflow.models.xcom import XComModel
+ from airflow.providers.databricks.operators.databricks_workflow import
WorkflowRunMetadata
+
+ result = session.scalars(
+ XComModel.get_many(
+ run_id=run_id,
+ key="return_value",
+ task_ids=launch_task_id,
+ dag_ids=dag_id,
+ limit=1,
+ )
+ ).first()
Review Comment:
There's no `XComModel.get_one()` — it's mentioned in a docstring but not
implemented. `get_many(..., limit=1).first()` + `deserialize_value` is the
current server-side read pattern (it's what the core XCom route uses). Happy to
switch if you'd rather a different call.
---
Drafted-by: Claude Code (Opus 4.8); reviewed by @PrakshiGoyal10
##########
providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py:
##########
@@ -515,6 +574,311 @@ def get_link( # type: ignore[override] # Signature
intentionally kept this way
return url_for("RepairDatabricksTasks.repair", **query_params)
+# Airflow-3 repair backend. Flask-AppBuilder was dropped in Airflow 3, so the
repair
+# action is re-implemented as a FastAPI sub-application mounted on the API
server, and the
+# repair links (below) build URLs that point at it.
+REPAIR_URL_PREFIX = "/databricks/workflow/repair"
+
+
+def _build_repair_url(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ *,
+ repair_all: bool = False,
+ task_id: str | None = None,
+) -> str:
+ """
+ Build the URL to the Airflow-3 FastAPI repair confirmation page for a
workflow run.
+
+ The URL carries only Airflow identifiers: the run's launch ``task_id``
(from which the
+ endpoint reads the trusted ``WorkflowRunMetadata`` XCom) and, for a
single-task repair, the
+ target ``task_id``. The Databricks connection, run id, and task keys are
never placed in the
+ link — the endpoint derives them server-side, so the request cannot point
the repair at an
+ arbitrary connection or Databricks run.
+ """
+ query: dict[str, Any] = {"launch_task_id": launch_task_id}
+ if repair_all:
+ query["repair_all"] = "true"
+ if task_id:
+ query["task_id"] = task_id
+
+ # Same-site relative path only. Using the full ``[api] base_url`` (scheme
+ host) would make
+ # the confirmation POST cross-origin when that setting names a different
domain than the UI,
+ # and SameSite=Lax would then withhold the auth cookie.
+ return (
+ f"{_api_root_path()}{REPAIR_URL_PREFIX}/{quote(dag_id, safe='')}/"
+ f"{quote(run_id, safe='')}?{urlencode(query)}"
+ )
+
+
+def _api_root_path() -> str:
+ """Path prefix from ``[api] base_url``, or empty when the API is mounted
at the origin root."""
+ return urlsplit(conf.get("api", "base_url", fallback="") or
"").path.rstrip("/")
+
+
+def _ui_run_path(dag_id: str, run_id: str) -> str:
+ """Same-site relative path to the Dag run in the UI, including the API
root path if set."""
+ return f"{_api_root_path()}/dags/{quote(dag_id,
safe='')}/runs/{quote(run_id, safe='')}"
+
+
+def _get_launch_task_id_v3(operator: BaseOperator, ti_key: TaskInstanceKey) ->
str | None:
+ """
+ Resolve the ``task_id`` of the workflow's launch task for an extra-link
render.
+
+ Works on both live operators and deserialized ones.
``SerializedTaskGroup`` has no
+ ``get_child_by_label``, so this never calls it. Returns ``None`` when the
launch task
+ cannot be found (so the link is not rendered).
+ """
+ if ti_key.task_id.endswith(".launch"):
+ return ti_key.task_id
+
+ for tid in getattr(operator, "upstream_task_ids", ()) or ():
+ if tid.endswith(".launch"):
+ return tid
+
+ task_group = getattr(operator, "task_group", None)
+ while task_group is not None:
+ child_id = getattr(task_group, "child_id", None)
+ children = getattr(task_group, "children", None)
+ if callable(child_id) and children is not None:
+ launch_id = child_id("launch")
+ if launch_id in children:
+ child = children[launch_id]
+ return getattr(child, "task_id", launch_id)
+ task_group = getattr(task_group, "parent_group", None)
+ return None
+
+
+if AIRFLOW_V_3_1_PLUS:
+ from fastapi import Depends, FastAPI, HTTPException, Request
+ from fastapi.responses import HTMLResponse, RedirectResponse
+ from markupsafe import escape
+
+ from airflow.api_fastapi.auth.managers.base_auth_manager import
COOKIE_NAME_JWT_TOKEN
+ from airflow.api_fastapi.auth.managers.models.resource_details import
DagAccessEntity, DagDetails
+ from airflow.api_fastapi.core_api.security import resolve_user_from_token
+
+ repair_app = FastAPI(
+ title="Databricks Workflow Repair",
+ description="Repair failed tasks of a Databricks workflow run from
Airflow.",
+ )
+
+ async def _resolve_request_user(request: Request):
+ """Authenticate via the bearer header (UI XHR) or the ``_token``
cookie (link navigation)."""
+ token = None
+ auth_header = request.headers.get("Authorization", "")
+ if auth_header.lower().startswith("bearer "):
+ token = auth_header.split(" ", 1)[1]
+ if not token:
+ token = request.cookies.get(COOKIE_NAME_JWT_TOKEN)
Review Comment:
Agreed — fixed in 924c9ee. Replaced the hand-rolled header/cookie parsing
with `Depends(requires_access_dag("PUT", DagAccessEntity.RUN))`, the same
pattern `providers/common/ai/plugins/hitl_review.py` uses. The `get_user`
behind it already resolves both the bearer header and the `_token` cookie, so a
browser-clicked link stays authorized, and nothing here parses the request or
assumes the auth-manager mapping anymore.
---
Drafted-by: Claude Code (Opus 4.8); reviewed by @PrakshiGoyal10
##########
providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py:
##########
@@ -515,6 +574,311 @@ def get_link( # type: ignore[override] # Signature
intentionally kept this way
return url_for("RepairDatabricksTasks.repair", **query_params)
+# Airflow-3 repair backend. Flask-AppBuilder was dropped in Airflow 3, so the
repair
+# action is re-implemented as a FastAPI sub-application mounted on the API
server, and the
+# repair links (below) build URLs that point at it.
+REPAIR_URL_PREFIX = "/databricks/workflow/repair"
+
+
+def _build_repair_url(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ *,
+ repair_all: bool = False,
+ task_id: str | None = None,
+) -> str:
+ """
+ Build the URL to the Airflow-3 FastAPI repair confirmation page for a
workflow run.
+
+ The URL carries only Airflow identifiers: the run's launch ``task_id``
(from which the
+ endpoint reads the trusted ``WorkflowRunMetadata`` XCom) and, for a
single-task repair, the
+ target ``task_id``. The Databricks connection, run id, and task keys are
never placed in the
+ link — the endpoint derives them server-side, so the request cannot point
the repair at an
+ arbitrary connection or Databricks run.
+ """
+ query: dict[str, Any] = {"launch_task_id": launch_task_id}
+ if repair_all:
+ query["repair_all"] = "true"
+ if task_id:
+ query["task_id"] = task_id
+
+ # Same-site relative path only. Using the full ``[api] base_url`` (scheme
+ host) would make
+ # the confirmation POST cross-origin when that setting names a different
domain than the UI,
+ # and SameSite=Lax would then withhold the auth cookie.
+ return (
+ f"{_api_root_path()}{REPAIR_URL_PREFIX}/{quote(dag_id, safe='')}/"
+ f"{quote(run_id, safe='')}?{urlencode(query)}"
+ )
+
+
+def _api_root_path() -> str:
+ """Path prefix from ``[api] base_url``, or empty when the API is mounted
at the origin root."""
+ return urlsplit(conf.get("api", "base_url", fallback="") or
"").path.rstrip("/")
+
+
+def _ui_run_path(dag_id: str, run_id: str) -> str:
+ """Same-site relative path to the Dag run in the UI, including the API
root path if set."""
+ return f"{_api_root_path()}/dags/{quote(dag_id,
safe='')}/runs/{quote(run_id, safe='')}"
+
+
+def _get_launch_task_id_v3(operator: BaseOperator, ti_key: TaskInstanceKey) ->
str | None:
+ """
+ Resolve the ``task_id`` of the workflow's launch task for an extra-link
render.
+
+ Works on both live operators and deserialized ones.
``SerializedTaskGroup`` has no
+ ``get_child_by_label``, so this never calls it. Returns ``None`` when the
launch task
+ cannot be found (so the link is not rendered).
+ """
+ if ti_key.task_id.endswith(".launch"):
+ return ti_key.task_id
+
+ for tid in getattr(operator, "upstream_task_ids", ()) or ():
+ if tid.endswith(".launch"):
+ return tid
+
+ task_group = getattr(operator, "task_group", None)
+ while task_group is not None:
+ child_id = getattr(task_group, "child_id", None)
+ children = getattr(task_group, "children", None)
+ if callable(child_id) and children is not None:
+ launch_id = child_id("launch")
+ if launch_id in children:
+ child = children[launch_id]
+ return getattr(child, "task_id", launch_id)
+ task_group = getattr(task_group, "parent_group", None)
+ return None
+
+
+if AIRFLOW_V_3_1_PLUS:
+ from fastapi import Depends, FastAPI, HTTPException, Request
+ from fastapi.responses import HTMLResponse, RedirectResponse
+ from markupsafe import escape
+
+ from airflow.api_fastapi.auth.managers.base_auth_manager import
COOKIE_NAME_JWT_TOKEN
+ from airflow.api_fastapi.auth.managers.models.resource_details import
DagAccessEntity, DagDetails
+ from airflow.api_fastapi.core_api.security import resolve_user_from_token
+
+ repair_app = FastAPI(
+ title="Databricks Workflow Repair",
+ description="Repair failed tasks of a Databricks workflow run from
Airflow.",
+ )
+
+ async def _resolve_request_user(request: Request):
+ """Authenticate via the bearer header (UI XHR) or the ``_token``
cookie (link navigation)."""
+ token = None
+ auth_header = request.headers.get("Authorization", "")
+ if auth_header.lower().startswith("bearer "):
+ token = auth_header.split(" ", 1)[1]
+ if not token:
+ token = request.cookies.get(COOKIE_NAME_JWT_TOKEN)
+ # resolve_user_from_token raises HTTP 401 for a missing/invalid token.
+ return await resolve_user_from_token(token)
+
+ async def _require_dag_run_edit(dag_id: str, request: Request):
+ from airflow.api_fastapi.app import get_auth_manager
+
+ user = await _resolve_request_user(request)
+ authorized = get_auth_manager().is_authorized_dag(
+ method="PUT",
+ access_entity=DagAccessEntity.RUN,
+ details=DagDetails(id=dag_id),
+ user=user,
+ )
+ if not authorized:
+ raise HTTPException(status_code=403, detail="Not authorized to
repair runs of this Dag.")
+ return user
+
+ def _task_id_to_key(dag_id: str, task_id: str, task_key_map: dict[str,
str]) -> str:
+ """
+ Resolve a task's Databricks ``task_key`` from the launch task's
trusted key map.
+
+ An explicit ``databricks_task_key`` does not survive Dag
serialization, so the serialized
+ task can't be trusted to reproduce it. The launch task captured the
real keys from the live
+ operators into ``task_key_map``. Runs launched before that map existed
fall back to the
+ operator's default derivation, ``md5(dag_id__task_id)`` — correct for
any task that did not
+ set an explicit key (the common case).
+ """
+ mapped = task_key_map.get(task_id)
+ if mapped:
+ return mapped
+ import hashlib
+
+ return hashlib.md5(f"{dag_id}__{task_id}".encode()).hexdigest()
+
+ def _read_launch_metadata(dag_id: str, run_id: str, launch_task_id: str,
session) -> Any:
+ """
+ Read the launch task's trusted ``WorkflowRunMetadata`` XCom (conn_id,
job_id, run_id).
+
+ The Databricks connection and run id come from here — never from the
request — so a crafted
+ link cannot redirect the repair at an arbitrary connection or
Databricks run.
+ """
+ from airflow.models.xcom import XComModel
+ from airflow.providers.databricks.operators.databricks_workflow import
WorkflowRunMetadata
+
+ result = session.scalars(
+ XComModel.get_many(
+ run_id=run_id,
+ key="return_value",
+ task_ids=launch_task_id,
+ dag_ids=dag_id,
+ limit=1,
+ )
+ ).first()
+ if result is None:
+ raise HTTPException(status_code=404, detail="Databricks workflow
run metadata not found.")
+ return WorkflowRunMetadata(**XComModel.deserialize_value(result))
+
+ def _clear_repaired_and_downstream(
+ dag, dag_run: DagRun, task_ids: list[str], session, logger:
logging.Logger
+ ) -> None:
+ """
+ Clear the repaired tasks' instances and their downstream instances for
this run.
+
+ Runs inside the API server (the DB-facing component), so clearing the
repaired tasks plus
+ their downstream lets the upstream-failed dependents resume
deterministically when the
+ repaired Databricks sub-runs succeed — without clearing the whole Dag.
+ """
+ from airflow.models.taskinstance import clear_task_instances
+
+ target_task_ids: set[str] = set(task_ids)
+ for task_id in task_ids:
+
target_task_ids.update(dag.get_task(task_id).get_flat_relative_ids(upstream=False))
+
+ tis_to_clear = [
+ ti for ti in dag_run.get_task_instances(session=session) if
ti.task_id in target_task_ids
+ ]
+ logger.info("Clearing %s task instances after Databricks repair",
len(tis_to_clear))
+ clear_task_instances(tis_to_clear, session)
Review Comment:
I can replace the hand-rolled downstream walk + `clear_task_instances` with
`find_relevant_relatives(direction="downstream")` + `dag.clear(task_ids=...,
run_id=...)`, which is what the core clear-task-instances endpoint uses. Before
I rework it — are you OK with `dag.clear` being called here from the provider's
FastAPI app?
---
Drafted-by: Claude Code (Opus 4.8); reviewed by @PrakshiGoyal10
##########
providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py:
##########
@@ -515,6 +574,311 @@ def get_link( # type: ignore[override] # Signature
intentionally kept this way
return url_for("RepairDatabricksTasks.repair", **query_params)
+# Airflow-3 repair backend. Flask-AppBuilder was dropped in Airflow 3, so the
repair
+# action is re-implemented as a FastAPI sub-application mounted on the API
server, and the
+# repair links (below) build URLs that point at it.
+REPAIR_URL_PREFIX = "/databricks/workflow/repair"
+
+
+def _build_repair_url(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ *,
+ repair_all: bool = False,
+ task_id: str | None = None,
+) -> str:
+ """
+ Build the URL to the Airflow-3 FastAPI repair confirmation page for a
workflow run.
+
+ The URL carries only Airflow identifiers: the run's launch ``task_id``
(from which the
+ endpoint reads the trusted ``WorkflowRunMetadata`` XCom) and, for a
single-task repair, the
+ target ``task_id``. The Databricks connection, run id, and task keys are
never placed in the
+ link — the endpoint derives them server-side, so the request cannot point
the repair at an
+ arbitrary connection or Databricks run.
+ """
+ query: dict[str, Any] = {"launch_task_id": launch_task_id}
+ if repair_all:
+ query["repair_all"] = "true"
+ if task_id:
+ query["task_id"] = task_id
+
+ # Same-site relative path only. Using the full ``[api] base_url`` (scheme
+ host) would make
+ # the confirmation POST cross-origin when that setting names a different
domain than the UI,
+ # and SameSite=Lax would then withhold the auth cookie.
+ return (
+ f"{_api_root_path()}{REPAIR_URL_PREFIX}/{quote(dag_id, safe='')}/"
+ f"{quote(run_id, safe='')}?{urlencode(query)}"
+ )
+
+
+def _api_root_path() -> str:
+ """Path prefix from ``[api] base_url``, or empty when the API is mounted
at the origin root."""
+ return urlsplit(conf.get("api", "base_url", fallback="") or
"").path.rstrip("/")
+
+
+def _ui_run_path(dag_id: str, run_id: str) -> str:
+ """Same-site relative path to the Dag run in the UI, including the API
root path if set."""
+ return f"{_api_root_path()}/dags/{quote(dag_id,
safe='')}/runs/{quote(run_id, safe='')}"
+
+
+def _get_launch_task_id_v3(operator: BaseOperator, ti_key: TaskInstanceKey) ->
str | None:
+ """
+ Resolve the ``task_id`` of the workflow's launch task for an extra-link
render.
+
+ Works on both live operators and deserialized ones.
``SerializedTaskGroup`` has no
+ ``get_child_by_label``, so this never calls it. Returns ``None`` when the
launch task
+ cannot be found (so the link is not rendered).
+ """
+ if ti_key.task_id.endswith(".launch"):
+ return ti_key.task_id
+
+ for tid in getattr(operator, "upstream_task_ids", ()) or ():
+ if tid.endswith(".launch"):
+ return tid
+
+ task_group = getattr(operator, "task_group", None)
+ while task_group is not None:
+ child_id = getattr(task_group, "child_id", None)
+ children = getattr(task_group, "children", None)
+ if callable(child_id) and children is not None:
+ launch_id = child_id("launch")
+ if launch_id in children:
+ child = children[launch_id]
+ return getattr(child, "task_id", launch_id)
+ task_group = getattr(task_group, "parent_group", None)
+ return None
+
+
+if AIRFLOW_V_3_1_PLUS:
+ from fastapi import Depends, FastAPI, HTTPException, Request
+ from fastapi.responses import HTMLResponse, RedirectResponse
+ from markupsafe import escape
+
+ from airflow.api_fastapi.auth.managers.base_auth_manager import
COOKIE_NAME_JWT_TOKEN
+ from airflow.api_fastapi.auth.managers.models.resource_details import
DagAccessEntity, DagDetails
+ from airflow.api_fastapi.core_api.security import resolve_user_from_token
+
+ repair_app = FastAPI(
+ title="Databricks Workflow Repair",
+ description="Repair failed tasks of a Databricks workflow run from
Airflow.",
+ )
+
+ async def _resolve_request_user(request: Request):
+ """Authenticate via the bearer header (UI XHR) or the ``_token``
cookie (link navigation)."""
+ token = None
+ auth_header = request.headers.get("Authorization", "")
+ if auth_header.lower().startswith("bearer "):
+ token = auth_header.split(" ", 1)[1]
+ if not token:
+ token = request.cookies.get(COOKIE_NAME_JWT_TOKEN)
+ # resolve_user_from_token raises HTTP 401 for a missing/invalid token.
+ return await resolve_user_from_token(token)
+
+ async def _require_dag_run_edit(dag_id: str, request: Request):
+ from airflow.api_fastapi.app import get_auth_manager
+
+ user = await _resolve_request_user(request)
+ authorized = get_auth_manager().is_authorized_dag(
+ method="PUT",
+ access_entity=DagAccessEntity.RUN,
+ details=DagDetails(id=dag_id),
+ user=user,
+ )
+ if not authorized:
+ raise HTTPException(status_code=403, detail="Not authorized to
repair runs of this Dag.")
+ return user
+
+ def _task_id_to_key(dag_id: str, task_id: str, task_key_map: dict[str,
str]) -> str:
+ """
+ Resolve a task's Databricks ``task_key`` from the launch task's
trusted key map.
+
+ An explicit ``databricks_task_key`` does not survive Dag
serialization, so the serialized
+ task can't be trusted to reproduce it. The launch task captured the
real keys from the live
+ operators into ``task_key_map``. Runs launched before that map existed
fall back to the
+ operator's default derivation, ``md5(dag_id__task_id)`` — correct for
any task that did not
+ set an explicit key (the common case).
+ """
+ mapped = task_key_map.get(task_id)
+ if mapped:
+ return mapped
+ import hashlib
+
+ return hashlib.md5(f"{dag_id}__{task_id}".encode()).hexdigest()
+
+ def _read_launch_metadata(dag_id: str, run_id: str, launch_task_id: str,
session) -> Any:
+ """
+ Read the launch task's trusted ``WorkflowRunMetadata`` XCom (conn_id,
job_id, run_id).
+
+ The Databricks connection and run id come from here — never from the
request — so a crafted
+ link cannot redirect the repair at an arbitrary connection or
Databricks run.
+ """
+ from airflow.models.xcom import XComModel
+ from airflow.providers.databricks.operators.databricks_workflow import
WorkflowRunMetadata
+
+ result = session.scalars(
+ XComModel.get_many(
+ run_id=run_id,
+ key="return_value",
+ task_ids=launch_task_id,
+ dag_ids=dag_id,
+ limit=1,
+ )
+ ).first()
+ if result is None:
+ raise HTTPException(status_code=404, detail="Databricks workflow
run metadata not found.")
+ return WorkflowRunMetadata(**XComModel.deserialize_value(result))
+
+ def _clear_repaired_and_downstream(
+ dag, dag_run: DagRun, task_ids: list[str], session, logger:
logging.Logger
+ ) -> None:
+ """
+ Clear the repaired tasks' instances and their downstream instances for
this run.
+
+ Runs inside the API server (the DB-facing component), so clearing the
repaired tasks plus
+ their downstream lets the upstream-failed dependents resume
deterministically when the
+ repaired Databricks sub-runs succeed — without clearing the whole Dag.
+ """
+ from airflow.models.taskinstance import clear_task_instances
+
+ target_task_ids: set[str] = set(task_ids)
+ for task_id in task_ids:
+
target_task_ids.update(dag.get_task(task_id).get_flat_relative_ids(upstream=False))
+
+ tis_to_clear = [
+ ti for ti in dag_run.get_task_instances(session=session) if
ti.task_id in target_task_ids
+ ]
+ logger.info("Clearing %s task instances after Databricks repair",
len(tis_to_clear))
+ clear_task_instances(tis_to_clear, session)
+
+ def _repair_confirmation_page(dag_id: str, run_id: str, action: str,
summary: str) -> HTMLResponse:
+ """Render the read-only confirmation page whose form issues the
state-changing POST."""
+ return HTMLResponse(
+ "<!doctype html><html><head><title>Repair Databricks
workflow</title></head><body>"
+ "<h2>Repair Databricks workflow tasks</h2>"
+ f"<p>Dag <b>{escape(dag_id)}</b>, run <b>{escape(run_id)}</b>.</p>"
+ f"<p>{escape(summary)}</p>"
+ f'<form method="post" action="{escape(action)}">'
+ '<button type="submit">Repair</button></form>'
+ "</body></html>"
+ )
+
+ @repair_app.get("/{dag_id}/{run_id}")
+ def repair_databricks_workflow_confirm(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ task_id: str | None = None,
+ repair_all: bool = False,
+ _user=Depends(_require_dag_run_edit),
+ ):
+ """Render a read-only confirmation page; the repair itself happens on
the POST below."""
+ run_id = unquote(run_id)
+ summary = (
+ "This will repair all failed tasks of the run and resume their
downstream tasks."
+ if repair_all
+ else f"This will repair task '{task_id}' and resume its downstream
tasks."
+ )
+ # Rebuild a same-site relative POST target from the validated
identifiers rather than
+ # echoing the request URL. SameSite=Lax on the auth cookie means a
cross-site POST cannot
+ # carry it, so moving the mutation to POST is what protects it from
CSRF.
+ action = _build_repair_url(dag_id, run_id, launch_task_id,
repair_all=repair_all, task_id=task_id)
+ return _repair_confirmation_page(dag_id, run_id, action, summary)
+
+ @repair_app.post("/{dag_id}/{run_id}")
+ def repair_databricks_workflow(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ task_id: str | None = None,
+ repair_all: bool = False,
+ _user=Depends(_require_dag_run_edit),
+ ):
+ """Repair failed Databricks tasks for a workflow run and resume the
Airflow run."""
+ run_id = unquote(run_id)
Review Comment:
You're right — removed (924c9ee). FastAPI decodes path params already, so it
was a redundant double-decode.
---
Drafted-by: Claude Code (Opus 4.8); reviewed by @PrakshiGoyal10
##########
providers/databricks/src/airflow/providers/databricks/plugins/databricks_workflow.py:
##########
@@ -515,6 +574,311 @@ def get_link( # type: ignore[override] # Signature
intentionally kept this way
return url_for("RepairDatabricksTasks.repair", **query_params)
+# Airflow-3 repair backend. Flask-AppBuilder was dropped in Airflow 3, so the
repair
+# action is re-implemented as a FastAPI sub-application mounted on the API
server, and the
+# repair links (below) build URLs that point at it.
+REPAIR_URL_PREFIX = "/databricks/workflow/repair"
+
+
+def _build_repair_url(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ *,
+ repair_all: bool = False,
+ task_id: str | None = None,
+) -> str:
+ """
+ Build the URL to the Airflow-3 FastAPI repair confirmation page for a
workflow run.
+
+ The URL carries only Airflow identifiers: the run's launch ``task_id``
(from which the
+ endpoint reads the trusted ``WorkflowRunMetadata`` XCom) and, for a
single-task repair, the
+ target ``task_id``. The Databricks connection, run id, and task keys are
never placed in the
+ link — the endpoint derives them server-side, so the request cannot point
the repair at an
+ arbitrary connection or Databricks run.
+ """
+ query: dict[str, Any] = {"launch_task_id": launch_task_id}
+ if repair_all:
+ query["repair_all"] = "true"
+ if task_id:
+ query["task_id"] = task_id
+
+ # Same-site relative path only. Using the full ``[api] base_url`` (scheme
+ host) would make
+ # the confirmation POST cross-origin when that setting names a different
domain than the UI,
+ # and SameSite=Lax would then withhold the auth cookie.
+ return (
+ f"{_api_root_path()}{REPAIR_URL_PREFIX}/{quote(dag_id, safe='')}/"
+ f"{quote(run_id, safe='')}?{urlencode(query)}"
+ )
+
+
+def _api_root_path() -> str:
+ """Path prefix from ``[api] base_url``, or empty when the API is mounted
at the origin root."""
+ return urlsplit(conf.get("api", "base_url", fallback="") or
"").path.rstrip("/")
+
+
+def _ui_run_path(dag_id: str, run_id: str) -> str:
+ """Same-site relative path to the Dag run in the UI, including the API
root path if set."""
+ return f"{_api_root_path()}/dags/{quote(dag_id,
safe='')}/runs/{quote(run_id, safe='')}"
+
+
+def _get_launch_task_id_v3(operator: BaseOperator, ti_key: TaskInstanceKey) ->
str | None:
+ """
+ Resolve the ``task_id`` of the workflow's launch task for an extra-link
render.
+
+ Works on both live operators and deserialized ones.
``SerializedTaskGroup`` has no
+ ``get_child_by_label``, so this never calls it. Returns ``None`` when the
launch task
+ cannot be found (so the link is not rendered).
+ """
+ if ti_key.task_id.endswith(".launch"):
+ return ti_key.task_id
+
+ for tid in getattr(operator, "upstream_task_ids", ()) or ():
+ if tid.endswith(".launch"):
+ return tid
+
+ task_group = getattr(operator, "task_group", None)
+ while task_group is not None:
+ child_id = getattr(task_group, "child_id", None)
+ children = getattr(task_group, "children", None)
+ if callable(child_id) and children is not None:
+ launch_id = child_id("launch")
+ if launch_id in children:
+ child = children[launch_id]
+ return getattr(child, "task_id", launch_id)
+ task_group = getattr(task_group, "parent_group", None)
+ return None
+
+
+if AIRFLOW_V_3_1_PLUS:
+ from fastapi import Depends, FastAPI, HTTPException, Request
+ from fastapi.responses import HTMLResponse, RedirectResponse
+ from markupsafe import escape
+
+ from airflow.api_fastapi.auth.managers.base_auth_manager import
COOKIE_NAME_JWT_TOKEN
+ from airflow.api_fastapi.auth.managers.models.resource_details import
DagAccessEntity, DagDetails
+ from airflow.api_fastapi.core_api.security import resolve_user_from_token
+
+ repair_app = FastAPI(
+ title="Databricks Workflow Repair",
+ description="Repair failed tasks of a Databricks workflow run from
Airflow.",
+ )
+
+ async def _resolve_request_user(request: Request):
+ """Authenticate via the bearer header (UI XHR) or the ``_token``
cookie (link navigation)."""
+ token = None
+ auth_header = request.headers.get("Authorization", "")
+ if auth_header.lower().startswith("bearer "):
+ token = auth_header.split(" ", 1)[1]
+ if not token:
+ token = request.cookies.get(COOKIE_NAME_JWT_TOKEN)
+ # resolve_user_from_token raises HTTP 401 for a missing/invalid token.
+ return await resolve_user_from_token(token)
+
+ async def _require_dag_run_edit(dag_id: str, request: Request):
+ from airflow.api_fastapi.app import get_auth_manager
+
+ user = await _resolve_request_user(request)
+ authorized = get_auth_manager().is_authorized_dag(
+ method="PUT",
+ access_entity=DagAccessEntity.RUN,
+ details=DagDetails(id=dag_id),
+ user=user,
+ )
+ if not authorized:
+ raise HTTPException(status_code=403, detail="Not authorized to
repair runs of this Dag.")
+ return user
+
+ def _task_id_to_key(dag_id: str, task_id: str, task_key_map: dict[str,
str]) -> str:
+ """
+ Resolve a task's Databricks ``task_key`` from the launch task's
trusted key map.
+
+ An explicit ``databricks_task_key`` does not survive Dag
serialization, so the serialized
+ task can't be trusted to reproduce it. The launch task captured the
real keys from the live
+ operators into ``task_key_map``. Runs launched before that map existed
fall back to the
+ operator's default derivation, ``md5(dag_id__task_id)`` — correct for
any task that did not
+ set an explicit key (the common case).
+ """
+ mapped = task_key_map.get(task_id)
+ if mapped:
+ return mapped
+ import hashlib
+
+ return hashlib.md5(f"{dag_id}__{task_id}".encode()).hexdigest()
+
+ def _read_launch_metadata(dag_id: str, run_id: str, launch_task_id: str,
session) -> Any:
+ """
+ Read the launch task's trusted ``WorkflowRunMetadata`` XCom (conn_id,
job_id, run_id).
+
+ The Databricks connection and run id come from here — never from the
request — so a crafted
+ link cannot redirect the repair at an arbitrary connection or
Databricks run.
+ """
+ from airflow.models.xcom import XComModel
+ from airflow.providers.databricks.operators.databricks_workflow import
WorkflowRunMetadata
+
+ result = session.scalars(
+ XComModel.get_many(
+ run_id=run_id,
+ key="return_value",
+ task_ids=launch_task_id,
+ dag_ids=dag_id,
+ limit=1,
+ )
+ ).first()
+ if result is None:
+ raise HTTPException(status_code=404, detail="Databricks workflow
run metadata not found.")
+ return WorkflowRunMetadata(**XComModel.deserialize_value(result))
+
+ def _clear_repaired_and_downstream(
+ dag, dag_run: DagRun, task_ids: list[str], session, logger:
logging.Logger
+ ) -> None:
+ """
+ Clear the repaired tasks' instances and their downstream instances for
this run.
+
+ Runs inside the API server (the DB-facing component), so clearing the
repaired tasks plus
+ their downstream lets the upstream-failed dependents resume
deterministically when the
+ repaired Databricks sub-runs succeed — without clearing the whole Dag.
+ """
+ from airflow.models.taskinstance import clear_task_instances
+
+ target_task_ids: set[str] = set(task_ids)
+ for task_id in task_ids:
+
target_task_ids.update(dag.get_task(task_id).get_flat_relative_ids(upstream=False))
+
+ tis_to_clear = [
+ ti for ti in dag_run.get_task_instances(session=session) if
ti.task_id in target_task_ids
+ ]
+ logger.info("Clearing %s task instances after Databricks repair",
len(tis_to_clear))
+ clear_task_instances(tis_to_clear, session)
+
+ def _repair_confirmation_page(dag_id: str, run_id: str, action: str,
summary: str) -> HTMLResponse:
+ """Render the read-only confirmation page whose form issues the
state-changing POST."""
+ return HTMLResponse(
+ "<!doctype html><html><head><title>Repair Databricks
workflow</title></head><body>"
+ "<h2>Repair Databricks workflow tasks</h2>"
+ f"<p>Dag <b>{escape(dag_id)}</b>, run <b>{escape(run_id)}</b>.</p>"
+ f"<p>{escape(summary)}</p>"
+ f'<form method="post" action="{escape(action)}">'
+ '<button type="submit">Repair</button></form>'
+ "</body></html>"
+ )
+
+ @repair_app.get("/{dag_id}/{run_id}")
+ def repair_databricks_workflow_confirm(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ task_id: str | None = None,
+ repair_all: bool = False,
+ _user=Depends(_require_dag_run_edit),
+ ):
+ """Render a read-only confirmation page; the repair itself happens on
the POST below."""
+ run_id = unquote(run_id)
+ summary = (
+ "This will repair all failed tasks of the run and resume their
downstream tasks."
+ if repair_all
+ else f"This will repair task '{task_id}' and resume its downstream
tasks."
+ )
+ # Rebuild a same-site relative POST target from the validated
identifiers rather than
+ # echoing the request URL. SameSite=Lax on the auth cookie means a
cross-site POST cannot
+ # carry it, so moving the mutation to POST is what protects it from
CSRF.
+ action = _build_repair_url(dag_id, run_id, launch_task_id,
repair_all=repair_all, task_id=task_id)
+ return _repair_confirmation_page(dag_id, run_id, action, summary)
+
+ @repair_app.post("/{dag_id}/{run_id}")
+ def repair_databricks_workflow(
+ dag_id: str,
+ run_id: str,
+ launch_task_id: str,
+ task_id: str | None = None,
+ repair_all: bool = False,
+ _user=Depends(_require_dag_run_edit),
+ ):
+ """Repair failed Databricks tasks for a workflow run and resume the
Airflow run."""
+ run_id = unquote(run_id)
+
+ from sqlalchemy import select
+
+ from airflow.models.serialized_dag import SerializedDagModel
+ from airflow.utils.session import create_session
+
+ with create_session() as session:
+ dag = SerializedDagModel.get_dag(dag_id, session=session)
+ if dag is None:
+ raise HTTPException(status_code=404, detail="Dag not found.")
Review Comment:
The `dag_run` is used for two things: the clear step, and building the
redirect target from the run's own persisted `dag_id`/`run_id` rather than the
request path — that was to resolve the CodeQL open-redirect finding (a
same-site path from DB-sourced values, not request input). If I move clearing
to `dag.clear(run_id=...)`, the object would only be needed for that redirect.
Would you prefer I keep it DB-sourced for CodeQL, or drop the query and build
the redirect from the (validated) path params?
---
Drafted-by: Claude Code (Opus 4.8); reviewed by @PrakshiGoyal10
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