mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-25 17:12:26 +02:00
169 lines
5.0 KiB
Python
169 lines
5.0 KiB
Python
import asyncio
|
|
import threading
|
|
import time
|
|
from concurrent.futures import ThreadPoolExecutor
|
|
from typing import Optional, TypeVar
|
|
|
|
import anyio
|
|
from aiokafka import AIOKafkaConsumer
|
|
from typing_extensions import ParamSpec
|
|
|
|
from langgraph.pregel import Pregel
|
|
from langgraph.scheduler.kafka.default_sync import DefaultConsumer
|
|
from langgraph.scheduler.kafka.executor import AsyncKafkaExecutor, KafkaExecutor
|
|
from langgraph.scheduler.kafka.orchestrator import (
|
|
AsyncKafkaOrchestrator,
|
|
KafkaOrchestrator,
|
|
)
|
|
from langgraph.scheduler.kafka.types import MessageToOrchestrator, Topics
|
|
|
|
C = ParamSpec("C")
|
|
R = TypeVar("R")
|
|
|
|
|
|
async def drain_topics_async(
|
|
topics: Topics, graph: Pregel, *, debug: bool = False
|
|
) -> tuple[list[MessageToOrchestrator], list[MessageToOrchestrator]]:
|
|
scope: Optional[anyio.CancelScope] = None
|
|
orch_msgs = []
|
|
exec_msgs = []
|
|
errors = []
|
|
|
|
def done() -> bool:
|
|
return (
|
|
len(orch_msgs) > 0
|
|
and any(orch_msgs)
|
|
and len(exec_msgs) > 0
|
|
and any(exec_msgs)
|
|
and not orch_msgs[-1]
|
|
and not exec_msgs[-1]
|
|
)
|
|
|
|
async def orchestrator() -> None:
|
|
async with AsyncKafkaOrchestrator(graph, topics) as orch:
|
|
async for msgs in orch:
|
|
orch_msgs.append(msgs)
|
|
if debug:
|
|
print("\n---\norch", len(msgs), msgs)
|
|
if done():
|
|
scope.cancel()
|
|
|
|
async def executor() -> None:
|
|
async with AsyncKafkaExecutor(graph, topics) as exec:
|
|
async for msgs in exec:
|
|
exec_msgs.append(msgs)
|
|
if debug:
|
|
print("\n---\nexec", len(msgs), msgs)
|
|
if done():
|
|
scope.cancel()
|
|
|
|
async def error_consumer() -> None:
|
|
async with AIOKafkaConsumer(topics.error) as consumer:
|
|
async for msg in consumer:
|
|
errors.append(msg)
|
|
if scope:
|
|
scope.cancel()
|
|
|
|
# start error consumer
|
|
error_task = asyncio.create_task(error_consumer(), name="error_consumer")
|
|
|
|
# run the orchestrator and executor until break_when
|
|
async with anyio.create_task_group() as tg:
|
|
tg.cancel_scope.deadline = anyio.current_time() + 20
|
|
scope = tg.cancel_scope
|
|
tg.start_soon(orchestrator, name="orchestrator")
|
|
tg.start_soon(executor, name="executor")
|
|
|
|
# cancel error consumer
|
|
error_task.cancel()
|
|
|
|
try:
|
|
await error_task
|
|
except asyncio.CancelledError:
|
|
pass
|
|
|
|
# check no errors
|
|
assert not errors, errors
|
|
|
|
return [m for mm in orch_msgs for m in mm], [m for mm in exec_msgs for m in mm]
|
|
|
|
|
|
def drain_topics(
|
|
topics: Topics, graph: Pregel, *, debug: bool = False
|
|
) -> tuple[list[MessageToOrchestrator], list[MessageToOrchestrator]]:
|
|
orch_msgs = []
|
|
exec_msgs = []
|
|
errors = []
|
|
event = threading.Event()
|
|
|
|
def done() -> bool:
|
|
return (
|
|
len(orch_msgs) > 0
|
|
and any(orch_msgs)
|
|
and len(exec_msgs) > 0
|
|
and any(exec_msgs)
|
|
and not orch_msgs[-1]
|
|
and not exec_msgs[-1]
|
|
)
|
|
|
|
def orchestrator() -> None:
|
|
try:
|
|
with KafkaOrchestrator(graph, topics) as orch:
|
|
for msgs in orch:
|
|
orch_msgs.append(msgs)
|
|
if debug:
|
|
print("\n---\norch", len(msgs), msgs)
|
|
if done():
|
|
event.set()
|
|
if event.is_set():
|
|
break
|
|
except Exception as e:
|
|
errors.append(e)
|
|
event.set()
|
|
|
|
def executor() -> None:
|
|
try:
|
|
with KafkaExecutor(graph, topics) as exec:
|
|
for msgs in exec:
|
|
exec_msgs.append(msgs)
|
|
if debug:
|
|
print("\n---\nexec", len(msgs), msgs)
|
|
if done():
|
|
event.set()
|
|
if event.is_set():
|
|
break
|
|
except Exception as e:
|
|
errors.append(e)
|
|
event.set()
|
|
|
|
def error_consumer() -> None:
|
|
try:
|
|
with DefaultConsumer(topics.error) as consumer:
|
|
while not event.is_set():
|
|
if msg := consumer.poll(timeout_ms=100):
|
|
errors.append(msg)
|
|
event.set()
|
|
except Exception as e:
|
|
errors.append(e)
|
|
event.set()
|
|
|
|
with ThreadPoolExecutor() as pool:
|
|
# start error consumer
|
|
pool.submit(error_consumer)
|
|
|
|
# run the orchestrator and executor until break_when
|
|
pool.submit(orchestrator)
|
|
pool.submit(executor)
|
|
|
|
# timeout
|
|
start = time.time()
|
|
while not event.is_set():
|
|
time.sleep(0.1)
|
|
if time.time() - start > 20:
|
|
event.set()
|
|
|
|
# check no errors
|
|
assert not errors, errors
|
|
|
|
return [m for mm in orch_msgs for m in mm], [m for mm in exec_msgs for m in mm]
|