Находки в опенсорсе: Python
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Легкие задачки в опенсорсе из мира Python

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https://github.com/ag2ai/faststream/issues/2222

Юбилейное Issue для особо отчаяных. Интересная задача на тему того, как превратить AsyncAPI рисовалку в полноценный Swagger UI с возможностью отправлять тестовые сообщения через FastStream

Задача простая, но объемная + достаточно неопределенная + нужно будет писать как на TypeScript, так и на Python. Приветствуется высокий уровень агентности. От меня – свобода в путях реализации.

В общем, без особой надежды оставлю это тут – вдруг энтузиасты найдутся😅

#FastStream
😁8👍6
https://github.com/ag2ai/faststream/issues/2091

То самое вайб-код Issue. Кодовая база уже готова, но нужно поресечить, как в итоге HTTP ручки должны выглядеть в спецификации – и написать 5-10 строчек кода + тестик на это

Вся референсная информация есть в Issue

#FastStream
😁15
Изи ишью: 5 минут, зашли и вышли

Нужно просто в тестовых клиентах отфильтровывать тех подписчиков, что еще не запущены.

Нужно подправить все места включения self.broker.subscribers и добавить соответствующий тест

https://github.com/ag2ai/faststream/issues/2053

#faststream
🚀 New issue to ag2ai/faststream by @jsonvot
📝 Bug: The coexistence issue between URL and virtualhost (#2652)


Describe the bug

import asyncio
from faststream.rabbit import RabbitBroker

async def pub():
broker = RabbitBroker('amqp://guest:guest@localhost:5672/', virtualhost='/domestic-aed') # 1

#broker = RabbitBroker('amqp://guest:guest@localhost:5672', virtualhost='//domestic-aed') # 2
#broker = RabbitBroker('amqp://guest:guest@localhost:5672/', virtualhost='//domestic-aed') # 3
#broker = RabbitBroker('amqp://guest:guest@localhost:5672//domestic-aed') # 4

#broker = RabbitBroker('amqp://guest:guest@localhost:5672', virtualhost='/domestic-aed') # 5
async with broker:
await broker.publish(
"Hi!",
queue="test-queue",
exchange="test-exchange"
)
asyncio.run(pub())

In version v0.5.33, the first method works properly, and the trailing slash (/) at the end of the URL cannot be omitted. However, in versions >=0.5.34, due to additional handling of virtualhost, only parameter-based formats like 2, 3, 4 and 5 are supported.
I believe method 5 is the most intuitive and should be handled correctly, but it is currently treated as an invalid format. Using this method will result in the following error:
🖼️Image

Environment
faststream[rabbit]>=0.5.34


#bug #good_first_issue #faststream #ag2ai
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🚀 New issue to ag2ai/faststream by @Sehat1137
📝 Skip relator notification from the dependabot (#2665)


Improve pipeline so that it is not triggered by events from dependabot.

https://github.com/ag2ai/faststream/blob/main/.github/workflows/relator.yaml#L19


#good_first_issue #github_actions #faststream #ag2ai
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🤔3
🚀 New issue to ag2ai/faststream by @GrigoriyKuzevanov
📝 Bug: min_idle_time ignored when group and consumer are specified (#2678)


Describe the bug
When a StreamSub has both 'group' and 'consumer', and 'min_idle_time' specified, Faststream uses 'XREADGROUP' instead of 'XAUTOCALIM'

How to reproduce
Include source code:

from faststream import FastStream
from faststream.redis import RedisBroker, StreamSub

broker = RedisBroker("redis://localhost:6379")

@broker.subscriber(
stream=StreamSub(
"orders",
group="processors",
consumer="claimer",
min_idle_time=10000, # Should trigger XAUTOCLAIM
)
)
async def claiming_handler(msg):
print("Should use XAUTOCLAIM, but uses XREADGROUP")


app = FastStream(broker)

Redis MONITOR output shows:

XREADGROUP GROUP processors claimer BLOCK 100 STREAMS orders >

Expected behavior

XAUTOCLAIM orders processors claimer 10000 0-0 COUNT 1

Observed behavior
I suppose that a root cause in faststream/redis/subscriber/use_cases/stream_subscriber, method _StreamHandlerMixin.start():

if stream.group and stream.consumer:  # ← Checked FIRST
# Uses XREADGROUP
...
elif self.stream_sub.min_idle_time is None:
# Uses XREAD
...
else:
# Uses XAUTOCLAIM ← Never reached when group is set!
...

Or i just misunderstand the logic.

Environment
Running FastStream 0.6.3 with CPython 3.12.3 on Linux


#bug #good_first_issue #faststream #ag2ai
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🚀 New issue to ag2ai/faststream by @gaby
📝 bug: Usage of custom logger results in no logs (#2677)


Is your feature request related to a problem? Please describe.
The built-logger is configured to always add colors, even when passing a logger to faststream. This is hardcoded here https://github.com/ag2ai/faststream/blob/main/faststream/_internal/logger/logging.py#L80 This affects systems collecting logs from faststream hosts. This makes loga generated by faststream to show in raw text as "\033[36mDEBUG\033[0m" instead of DEBUG.

Describe the solution you'd like
Make the use_colors param configurable instead of a hardcoded value.

Describe alternatives you've considered
Writing a custom log parser.


#enhancement #good_first_issue #faststream #ag2ai
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