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#
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#
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from __future__ import annotations
import asyncio
import time
from collections.abc import AsyncIterator
from typing import Any
from airflow.providers.anthropic.hooks.anthropic import MAX_CONSECUTIVE_POLL_FAILURES, AnthropicHook
from airflow.triggers.base import BaseTrigger, TriggerEvent
[docs]
class AnthropicAgentSessionTrigger(BaseTrigger):
"""
Poll a Managed Agents session until it reaches a terminal status.
:param conn_id: The Anthropic connection ID.
:param session_id: The session to poll.
:param poll_interval: Seconds to sleep between polls.
:param end_time: Wall-clock deadline (``time.time()`` epoch seconds). Wall-clock is
used deliberately: the trigger is serialized and may resume in a different
triggerer process, where a per-process ``time.monotonic()`` value is meaningless.
:param expect_outcome: Whether the session is running a ``user.define_outcome`` loop
(completion is then judged from ``outcome_evaluations``, not from ``idle`` alone).
:param kickoff_event_id: ID of the kickoff event, used to correlate the terminal idle
event on a ``message`` run (defeats the start race).
"""
def __init__(
self,
conn_id: str,
session_id: str,
poll_interval: float,
end_time: float,
expect_outcome: bool = False,
kickoff_event_id: str | None = None,
) -> None:
super().__init__()
[docs]
self.session_id = session_id
[docs]
self.poll_interval = poll_interval
[docs]
self.end_time = end_time
[docs]
self.expect_outcome = expect_outcome
[docs]
self.kickoff_event_id = kickoff_event_id
[docs]
def serialize(self) -> tuple[str, dict[str, Any]]:
"""Serialize AnthropicAgentSessionTrigger arguments and class path."""
return (
"airflow.providers.anthropic.triggers.agent.AnthropicAgentSessionTrigger",
{
"conn_id": self.conn_id,
"session_id": self.session_id,
"poll_interval": self.poll_interval,
"end_time": self.end_time,
"expect_outcome": self.expect_outcome,
"kickoff_event_id": self.kickoff_event_id,
},
)
[docs]
async def on_kill(self) -> None:
"""
Archive the session when a user kills the deferred task.
Runs in the triggerer event loop on Airflow 3.3+ (a no-op override on older
versions, which never call it). Closes the gap the operator's ``on_kill`` leaves
for deferred tasks, which have released their worker slot.
"""
hook = AnthropicHook(conn_id=self.conn_id)
try:
await asyncio.to_thread(hook.archive_session, self.session_id)
self.log.info("on_kill: archived Anthropic session %s", self.session_id)
except Exception as e:
self.log.warning("on_kill: failed to archive session %s: %s", self.session_id, e)
[docs]
async def run(self) -> AsyncIterator[TriggerEvent]:
"""Poll the session and yield exactly one terminal event."""
hook = AnthropicHook(conn_id=self.conn_id)
consecutive_failures = 0
while True:
try:
# poll_session_completion does blocking SDK HTTP calls; run off the event loop.
done, error_message = await asyncio.to_thread(
hook.poll_session_completion,
self.session_id,
expect_outcome=self.expect_outcome,
kickoff_event_id=self.kickoff_event_id,
)
except Exception as e:
# Tolerate transient polling errors rather than failing the whole wait.
consecutive_failures += 1
if consecutive_failures >= MAX_CONSECUTIVE_POLL_FAILURES or time.time() > self.end_time:
yield TriggerEvent({"status": "error", "session_id": self.session_id, "message": str(e)})
return
self.log.warning("Polling session %s failed (%s); retrying.", self.session_id, e)
await asyncio.sleep(self.poll_interval)
continue
consecutive_failures = 0
if done:
if error_message:
yield TriggerEvent(
{"status": "error", "session_id": self.session_id, "message": error_message}
)
else:
yield TriggerEvent(
{
"status": "success",
"session_id": self.session_id,
"message": f"Session {self.session_id} completed.",
}
)
return
if time.time() > self.end_time:
yield TriggerEvent(
{
"status": "timeout",
"session_id": self.session_id,
"message": (
f"Session {self.session_id} did not reach a terminal status "
"before the configured timeout."
),
}
)
return
await asyncio.sleep(self.poll_interval)