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#
# http://www.apache.org/licenses/LICENSE-2.0
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from __future__ import annotations
from typing import Sequence
from airflow.models.taskmixin import DAGNode, DependencyMixin
from airflow.utils.task_group import TaskGroup
class EdgeModifier(DependencyMixin):
"""
Class that represents edge information to be added between two
tasks/operators. Has shorthand factory functions, like Label("hooray").
Current implementation supports
t1 >> Label("Success route") >> t2
t2 << Label("Success route") << t2
Note that due to the potential for use in either direction, this waits
to make the actual connection between both sides until both are declared,
and will do so progressively if multiple ups/downs are added.
This and EdgeInfo are related - an EdgeModifier is the Python object you
use to add information to (potentially multiple) edges, and EdgeInfo
is the representation of the information for one specific edge.
"""
def __init__(self, label: str | None = None):
self.label = label
self._upstream: list[DependencyMixin] = []
self._downstream: list[DependencyMixin] = []
@property
def roots(self):
return self._downstream
@property
def leaves(self):
return self._upstream
@staticmethod
def _make_list(item_or_list: DependencyMixin | Sequence[DependencyMixin]) -> Sequence[DependencyMixin]:
if not isinstance(item_or_list, Sequence):
return [item_or_list]
return item_or_list
def _save_nodes(
self,
nodes: DependencyMixin | Sequence[DependencyMixin],
stream: list[DependencyMixin],
):
from airflow.models.xcom_arg import XComArg
for node in self._make_list(nodes):
if isinstance(node, (TaskGroup, XComArg, DAGNode)):
stream.append(node)
else:
raise TypeError(
f"Cannot use edge labels with {type(node).__name__}, "
f"only tasks, XComArg or TaskGroups"
)
def _convert_streams_to_task_groups(self):
"""
Both self._upstream and self._downstream are required to determine if
we should convert a node to a TaskGroup or leave it as a DAGNode.
To do this, we keep a set of group_ids seen among the streams. If we find that
the nodes are from the same TaskGroup, we will leave them as DAGNodes and not
convert them to TaskGroups
"""
from airflow.models.xcom_arg import XComArg
group_ids = set()
for node in [*self._upstream, *self._downstream]:
if isinstance(node, DAGNode) and node.task_group:
if node.task_group.is_root:
group_ids.add("root")
else:
group_ids.add(node.task_group.group_id)
elif isinstance(node, TaskGroup):
group_ids.add(node.group_id)
elif isinstance(node, XComArg):
if isinstance(node.operator, DAGNode) and node.operator.task_group:
if node.operator.task_group.is_root:
group_ids.add("root")
else:
group_ids.add(node.operator.task_group.group_id)
# If all nodes originate from the same TaskGroup, we will not convert them
if len(group_ids) != 1:
self._upstream = self._convert_stream_to_task_groups(self._upstream)
self._downstream = self._convert_stream_to_task_groups(self._downstream)
def _convert_stream_to_task_groups(self, stream: Sequence[DependencyMixin]) -> Sequence[DependencyMixin]:
return [
node.task_group
if isinstance(node, DAGNode) and node.task_group and not node.task_group.is_root
else node
for node in stream
]
def set_upstream(
self,
other: DependencyMixin | Sequence[DependencyMixin],
edge_modifier: EdgeModifier | None = None,
):
"""
Sets the given task/list onto the upstream attribute, and then checks if
we have both sides so we can resolve the relationship.
Providing this also provides << via DependencyMixin.
"""
self._save_nodes(other, self._upstream)
if self._upstream and self._downstream:
# Convert _upstream and _downstream to task_groups only after both are set
self._convert_streams_to_task_groups()
for node in self._downstream:
node.set_upstream(other, edge_modifier=self)
def set_downstream(
self,
other: DependencyMixin | Sequence[DependencyMixin],
edge_modifier: EdgeModifier | None = None,
):
"""
Sets the given task/list onto the downstream attribute, and then checks if
we have both sides so we can resolve the relationship.
Providing this also provides >> via DependencyMixin.
"""
self._save_nodes(other, self._downstream)
if self._upstream and self._downstream:
# Convert _upstream and _downstream to task_groups only after both are set
self._convert_streams_to_task_groups()
for node in self._upstream:
node.set_downstream(other, edge_modifier=self)
def update_relative(
self, other: DependencyMixin, upstream: bool = True, edge_modifier: EdgeModifier | None = None
) -> None:
"""
Called if we're not the "main" side of a relationship; we still run the
same logic, though.
"""
if upstream:
self.set_upstream(other)
else:
self.set_downstream(other)
def add_edge_info(self, dag, upstream_id: str, downstream_id: str):
"""
Adds or updates task info on the DAG for this specific pair of tasks.
Called either from our relationship trigger methods above, or directly
by set_upstream/set_downstream in operators.
"""
dag.set_edge_info(upstream_id, downstream_id, {"label": self.label})
# Factory functions
def Label(label: str):
"""Creates an EdgeModifier that sets a human-readable label on the edge."""
return EdgeModifier(label=label)