ramitkataria commented on code in PR #57215:
URL: https://github.com/apache/airflow/pull/57215#discussion_r2467528166
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airflow-core/src/airflow/models/callback.py:
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@@ -131,26 +136,42 @@ class Callback(Base):
trigger_id: Mapped[int] = mapped_column(Integer, ForeignKey("trigger.id"),
nullable=True)
trigger = relationship("Trigger", back_populates="callback", uselist=False)
- def __init__(self, priority_weight: int = 1):
+ def __init__(self, priority_weight: int = 1, prefix: str = "", **kwargs):
self.state = CallbackState.PENDING
self.priority_weight = priority_weight
+ self.data = kwargs # kwargs can be used to include additional info in
metric tags
+ if prefix:
+ self.data["prefix"] = prefix
def queue(self):
self.state = CallbackState.QUEUED
+ def get_metric_info(self, status: str, result: Any) -> dict:
+ tags = {"result": result, **self.data}
+ tags.pop("prefix", None)
+
+ if "kwargs" in tags:
+ # Remove the context (if exists) to keep the tags simple
+ tags["kwargs"] = {k: v for k, v in tags["kwargs"].items() if k !=
"context"}
Review Comment:
This is because of the shallow copy of the dict. If I just did a `pop`, it
would also remove context from the kwargs that would be passed to the trigger
at callback runtime
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