From e87aa69b7887af035406508bd38bf3c1aebc0661 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 8 Jul 2024 21:09:13 -0600 Subject: [PATCH 01/29] Bump certifi from 2024.6.2 to 2024.7.4 (#108) From 29f33deb8067542772b55a06fc7d0214f76c7a9b Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 8 Jul 2024 21:09:13 -0600 Subject: [PATCH 02/29] Bump certifi from 2024.6.2 to 2024.7.4 (#108) From fa11f218d621ebc61e99a812c17c84be9a2fc78b Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 08:54:41 -0400 Subject: [PATCH 03/29] kafka dep aiokafka --- poetry.lock | 58 +++++++++++++++++++++++++++++++++++++++++++++++--- pyproject.toml | 3 +++ 2 files changed, 58 insertions(+), 3 deletions(-) diff --git a/poetry.lock b/poetry.lock index 572a9059..a3a1a678 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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\"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -2375,4 +2427,4 @@ redis = ["redis"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "c124f8aebf627760c96a1b494e7dff8194e162075be9c390fe7f17f667474c10" +content-hash = "07305c82d5bf207759ca77ba517df5eabe23e25e2010b195fcfada244329e52f" diff --git a/pyproject.toml b/pyproject.toml index 82f3b770..fb522ee9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,8 +24,10 @@ aio-pika = {version = "^9.4.2", optional = true} redis = {version = "^5.0.7", optional = true} uvicorn = "^0.30.1" pytest-mock = "^3.14.0" +aiokafka = {version = "^0.11.0", optional = true} [tool.poetry.extras] +kafka = ["aiokafka"] rabbitmq = ["aio-pika"] redis = ["redis"] @@ -37,6 +39,7 @@ aio-pika = "^9.4.2" redis = "^5.0.7" pytest-cov = "^5.0.0" coverage = "^7.6.0" +aiokafka = "^0.11.0" [tool.poetry.scripts] llama-agents = 'llama_agents.cli.command_line:main' From c91c7a8298f0a6cb59bdc2c7632c9b813fd34cea Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 10:20:05 -0400 Subject: [PATCH 04/29] start KafkaMessageQueue and impl create topic --- llama_agents/message_queues/apache_kafka.py | 101 ++++++++++++++++++++ poetry.lock | 21 +++- pyproject.toml | 4 +- 3 files changed, 124 insertions(+), 2 deletions(-) create mode 100644 llama_agents/message_queues/apache_kafka.py diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py new file mode 100644 index 00000000..4f38de75 --- /dev/null +++ b/llama_agents/message_queues/apache_kafka.py @@ -0,0 +1,101 @@ +"""Apache Kafka Message Queue.""" + +import asyncio +from logging import getLogger +from typing import Any, Callable, Coroutine, Dict, List, Optional +from llama_agents.message_queues.base import ( + BaseMessageQueue, +) +from llama_agents.messages.base import QueueMessage +from llama_agents.message_consumers.base import ( + BaseMessageQueueConsumer, + default_start_consuming_callable, +) + +logger = getLogger(__name__) + + +DEFAULT_URL = "localhost:9092" +DEFAULT_TOPIC_PARTITIONS = 10 +DEFAULT_TOPIC_REPLICATION_FACTOR = 1 + + +class KafkaMessageQueue(BaseMessageQueue): + """Apache Kafka integration with aiokafka.""" + + url: str = DEFAULT_URL + + def __init__( + self, + url: str = DEFAULT_URL, + ) -> None: + super().__init__(url=url) + + @classmethod + def from_url_params( + cls, + host: str, + port: Optional[int] = None, + ) -> "KafkaMessageQueue": + url = f"{host}:{port}" if port else f"{host}" + return cls(url=url) + + def _create_new_topic( + self, + topic_name: str, + num_partitions: Optional[int] = None, + replication_factor: Optional[int] = None, + **kwargs: Dict[str, Any], + ) -> None: + """Create a new topic.""" + from kafka.admin import KafkaAdminClient, NewTopic + from kafka.errors import TopicAlreadyExistsError + + admin_client = KafkaAdminClient(bootstrap_servers=self.url) + try: + topic = NewTopic( + name=topic_name, + num_partitions=num_partitions or DEFAULT_TOPIC_PARTITIONS, + replication_factor=replication_factor + or DEFAULT_TOPIC_REPLICATION_FACTOR, + **kwargs, + ) + admin_client.create_topics(new_topics=[topic]) + logger.info(f"New topic {topic_name} created.") + except TopicAlreadyExistsError: + logger.info(f"Topic {topic_name} already exists.") + pass + + async def _publish(self, message: QueueMessage) -> Any: + ... + + async def cleanup_local( + self, message_types: List[str], *args: Any, **kwargs: Dict[str, Any] + ) -> None: + ... + + async def deregister_consumer(self, consumer: BaseMessageQueueConsumer) -> Any: + ... + + async def launch_local(self) -> asyncio.Task: + return asyncio.create_task(self.processing_loop()) + + async def launch_server(self) -> None: + ... + + async def processing_loop(self) -> None: + pass + + async def register_consumer( + self, consumer: BaseMessageQueueConsumer + ) -> Callable[..., Coroutine[Any, Any, None]]: + return default_start_consuming_callable + + +async def main() -> None: + mq = KafkaMessageQueue() + mq._create_new_topic(topic_name="test") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/poetry.lock b/poetry.lock index a3a1a678..aafdb40d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -832,6 +832,24 @@ files = [ {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"}, ] +[[package]] +name = "kafka-python-ng" +version = "2.2.2" +description = "Pure Python client for Apache Kafka" +optional = false +python-versions = ">=3.8" +files = [ + {file = "kafka-python-ng-2.2.2.tar.gz", hash = "sha256:87ad3a766e2c0bec71d9b99bdd9e9c5cda62d96cfda61a8ca16510484d6ad7d4"}, + {file = "kafka_python_ng-2.2.2-py2.py3-none-any.whl", hash = "sha256:3fab1a03133fade1b6fd5367ff726d980e59031c4aaca9bf02c516840a4f8406"}, +] + +[package.extras] +boto = ["botocore"] +crc32c = ["crc32c"] +lz4 = ["lz4"] +snappy = ["python-snappy"] +zstd = ["zstandard"] + [[package]] name = "linkify-it-py" version = "2.0.3" @@ -2421,10 +2439,11 @@ idna = ">=2.0" multidict = ">=4.0" [extras] +kafka = ["aiokafka", "kafka-python-ng"] rabbitmq = ["aio-pika"] redis = ["redis"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "07305c82d5bf207759ca77ba517df5eabe23e25e2010b195fcfada244329e52f" +content-hash = "e14f5d38a2e250f9b8106c10c8188bad80217f63de095e95f8b41feab11b7222" diff --git a/pyproject.toml b/pyproject.toml index fb522ee9..59854371 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,9 +25,10 @@ redis = {version = "^5.0.7", optional = true} uvicorn = "^0.30.1" pytest-mock = "^3.14.0" aiokafka = {version = "^0.11.0", optional = true} +kafka-python-ng = {version = "^2.2.2", optional = true} [tool.poetry.extras] -kafka = ["aiokafka"] +kafka = ["aiokafka", "kafka-python-ng"] rabbitmq = ["aio-pika"] redis = ["redis"] @@ -40,6 +41,7 @@ redis = "^5.0.7" pytest-cov = "^5.0.0" coverage = "^7.6.0" aiokafka = "^0.11.0" +kafka-python-ng = "^2.2.2" [tool.poetry.scripts] llama-agents = 'llama_agents.cli.command_line:main' From 9298490c5a81d35edabee30103def451f82bbf8a Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 10:23:09 -0400 Subject: [PATCH 05/29] todo note --- llama_agents/message_queues/apache_kafka.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 4f38de75..ed48bd62 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -47,7 +47,13 @@ def _create_new_topic( replication_factor: Optional[int] = None, **kwargs: Dict[str, Any], ) -> None: - """Create a new topic.""" + """Create a new topic. + + Use kafka-python-ng instead of aio-kafka as latter has issues with + resolving api_version with broker. + + TODO: convert to aiokafka once this it is resolved there. + """ from kafka.admin import KafkaAdminClient, NewTopic from kafka.errors import TopicAlreadyExistsError From 0497f10aaa808a3605c38c3b839551d2a408fa95 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 11:03:42 -0400 Subject: [PATCH 06/29] register consumer --- llama_agents/message_queues/apache_kafka.py | 47 ++++++++++++++++++++- 1 file changed, 46 insertions(+), 1 deletion(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index ed48bd62..0fd73cc3 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -1,23 +1,28 @@ """Apache Kafka Message Queue.""" import asyncio +import json from logging import getLogger from typing import Any, Callable, Coroutine, Dict, List, Optional +from llama_agents import CallableMessageConsumer, QueueMessage from llama_agents.message_queues.base import ( BaseMessageQueue, ) -from llama_agents.messages.base import QueueMessage from llama_agents.message_consumers.base import ( BaseMessageQueueConsumer, default_start_consuming_callable, ) +import logging + logger = getLogger(__name__) +logger.setLevel(logging.INFO) DEFAULT_URL = "localhost:9092" DEFAULT_TOPIC_PARTITIONS = 10 DEFAULT_TOPIC_REPLICATION_FACTOR = 1 +DEFAULT_GROUP_ID = "default_group" # single group for competing consumers class KafkaMessageQueue(BaseMessageQueue): @@ -95,6 +100,29 @@ async def processing_loop(self) -> None: async def register_consumer( self, consumer: BaseMessageQueueConsumer ) -> Callable[..., Coroutine[Any, Any, None]]: + """Register a new consumer.""" + from aiokafka import AIOKafkaConsumer + + # register topic + self._create_new_topic(consumer.message_type) + + async def start_consuming_callable() -> None: + """StartConsumingCallable.""" + + kafka_consumer = AIOKafkaConsumer( + consumer.message_type, + bootstrap_servers=self.url, + group_id=DEFAULT_GROUP_ID, + ) + await consumer.start() + try: + async for msg in kafka_consumer: + decoded_message = json.loads(msg.value.decode("utf-8")) + queue_message = QueueMessage.model_validate(decoded_message) + await consumer.process_message(queue_message) + finally: + await kafka_consumer.stop() + return default_start_consuming_callable @@ -102,6 +130,23 @@ async def main() -> None: mq = KafkaMessageQueue() mq._create_new_topic(topic_name="test") + # register a sample consumer + test_consumer = CallableMessageConsumer( + message_type="test", handler=lambda msg: print(msg) + ) + + start_consuming_callable = await mq.register_consumer(test_consumer) + _ = asyncio.create_task(start_consuming_callable()) + + await asyncio.Future() + if __name__ == "__main__": + import logging + import logging + import sys + + logging.basicConfig(stream=sys.stdout, level=logging.INFO) + + logger.addHandler(logging.StreamHandler(stream=sys.stdout)) asyncio.run(main()) From cf9f92df87ed52b31a93f70e10db5e6f879469d9 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 11:04:27 -0400 Subject: [PATCH 07/29] return start consuming callble --- llama_agents/message_queues/apache_kafka.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 0fd73cc3..8ee49d10 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -10,7 +10,6 @@ ) from llama_agents.message_consumers.base import ( BaseMessageQueueConsumer, - default_start_consuming_callable, ) import logging @@ -123,7 +122,7 @@ async def start_consuming_callable() -> None: finally: await kafka_consumer.stop() - return default_start_consuming_callable + return start_consuming_callable async def main() -> None: @@ -138,8 +137,6 @@ async def main() -> None: start_consuming_callable = await mq.register_consumer(test_consumer) _ = asyncio.create_task(start_consuming_callable()) - await asyncio.Future() - if __name__ == "__main__": import logging From 43a8970bb621f81f6f1c2b3bf283ae530a27853d Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 11:06:59 -0400 Subject: [PATCH 08/29] bug --- llama_agents/message_queues/apache_kafka.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 8ee49d10..9f122caf 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -113,7 +113,7 @@ async def start_consuming_callable() -> None: bootstrap_servers=self.url, group_id=DEFAULT_GROUP_ID, ) - await consumer.start() + await kafka_consumer.start() try: async for msg in kafka_consumer: decoded_message = json.loads(msg.value.decode("utf-8")) @@ -135,7 +135,9 @@ async def main() -> None: ) start_consuming_callable = await mq.register_consumer(test_consumer) - _ = asyncio.create_task(start_consuming_callable()) + task = asyncio.create_task(start_consuming_callable()) + + task.cancel() if __name__ == "__main__": From cced7127140f6e3cf90a4c06802d7af5c6b0f541 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 11:28:58 -0400 Subject: [PATCH 09/29] clean up delete topics --- llama_agents/message_queues/apache_kafka.py | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 9f122caf..02299d9c 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -82,7 +82,18 @@ async def _publish(self, message: QueueMessage) -> Any: async def cleanup_local( self, message_types: List[str], *args: Any, **kwargs: Dict[str, Any] ) -> None: - ... + """Cleanup for local runs. + + Use kafka-python-ng instead of aio-kafka as latter has issues with + resolving api_version with broker when using admin client. + + TODO: convert to aiokafka once this it is resolved there. + """ + from kafka.admin import KafkaAdminClient + + admin_client = KafkaAdminClient(bootstrap_servers=self.url) + admin_client.delete_topics(message_types) + await asyncio.sleep(0.1) # apply small wait for delete to actually take place async def deregister_consumer(self, consumer: BaseMessageQueueConsumer) -> Any: ... @@ -138,6 +149,7 @@ async def main() -> None: task = asyncio.create_task(start_consuming_callable()) task.cancel() + await mq.cleanup_local(["test"]) if __name__ == "__main__": From 13f5d5d741908f1e5f9fb349f4723523a6ab2ad2 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 11:59:23 -0400 Subject: [PATCH 10/29] functional --- llama_agents/message_queues/apache_kafka.py | 42 +++++++++++++++++---- 1 file changed, 35 insertions(+), 7 deletions(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 02299d9c..543f2ad8 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -77,7 +77,17 @@ def _create_new_topic( pass async def _publish(self, message: QueueMessage) -> Any: - ... + """Publish message to the queue.""" + from aiokafka import AIOKafkaProducer + + producer = AIOKafkaProducer(bootstrap_servers=self.url) + await producer.start() + try: + message_body = json.dumps(message.model_dump()).encode("utf-8") + await producer.send_and_wait(message.type, message_body) + logger.info(f"published message {message.id_}") + finally: + await producer.stop() async def cleanup_local( self, message_types: List[str], *args: Any, **kwargs: Dict[str, Any] @@ -116,6 +126,10 @@ async def register_consumer( # register topic self._create_new_topic(consumer.message_type) + logger.info( + f"Registered consumer {consumer.id_}: {consumer.message_type}", + ) + async def start_consuming_callable() -> None: """StartConsumingCallable.""" @@ -136,19 +150,31 @@ async def start_consuming_callable() -> None: return start_consuming_callable -async def main() -> None: +async def consume() -> None: mq = KafkaMessageQueue() - mq._create_new_topic(topic_name="test") # register a sample consumer + def message_handler(message: QueueMessage) -> None: + print(f"MESSAGE: {message}") + test_consumer = CallableMessageConsumer( - message_type="test", handler=lambda msg: print(msg) + message_type="test", handler=message_handler ) start_consuming_callable = await mq.register_consumer(test_consumer) - task = asyncio.create_task(start_consuming_callable()) + await start_consuming_callable() + - task.cancel() +async def produce() -> None: + mq = KafkaMessageQueue() + mq._create_new_topic(topic_name="test") + + test_message = QueueMessage(type="test", data={"message": "this is a test"}) + await mq.publish(test_message) + + +async def clean_up() -> None: + mq = KafkaMessageQueue() await mq.cleanup_local(["test"]) @@ -160,4 +186,6 @@ async def main() -> None: logging.basicConfig(stream=sys.stdout, level=logging.INFO) logger.addHandler(logging.StreamHandler(stream=sys.stdout)) - asyncio.run(main()) + asyncio.run(produce()) + # asyncio.run(consume()) + # asyncio.run(clean_up()) From bcf96ed72f0afd4b3d3104b87833e296e236407f Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 12:15:58 -0400 Subject: [PATCH 11/29] add argparse for convenient testing --- llama_agents/message_queues/apache_kafka.py | 62 ++++++++++++--------- 1 file changed, 35 insertions(+), 27 deletions(-) diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 543f2ad8..c5ee29ac 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -150,42 +150,50 @@ async def start_consuming_callable() -> None: return start_consuming_callable -async def consume() -> None: - mq = KafkaMessageQueue() +if __name__ == "__main__": + import argparse + import sys + + logging.basicConfig(stream=sys.stdout, level=logging.INFO) + logger.addHandler(logging.StreamHandler(stream=sys.stdout)) - # register a sample consumer - def message_handler(message: QueueMessage) -> None: - print(f"MESSAGE: {message}") + parser = argparse.ArgumentParser() + parser.add_argument("--produce", action="store_true", default=False) + parser.add_argument("--consume", action="store_true", default=False) + parser.add_argument("--clean-up", action="store_true", default=False) - test_consumer = CallableMessageConsumer( - message_type="test", handler=message_handler - ) + args = parser.parse_args() - start_consuming_callable = await mq.register_consumer(test_consumer) - await start_consuming_callable() + async def consume() -> None: + mq = KafkaMessageQueue() + # register a sample consumer + def message_handler(message: QueueMessage) -> None: + print(f"MESSAGE: {message}") -async def produce() -> None: - mq = KafkaMessageQueue() - mq._create_new_topic(topic_name="test") + test_consumer = CallableMessageConsumer( + message_type="test", handler=message_handler + ) - test_message = QueueMessage(type="test", data={"message": "this is a test"}) - await mq.publish(test_message) + start_consuming_callable = await mq.register_consumer(test_consumer) + await start_consuming_callable() + async def produce() -> None: + mq = KafkaMessageQueue() + mq._create_new_topic(topic_name="test") -async def clean_up() -> None: - mq = KafkaMessageQueue() - await mq.cleanup_local(["test"]) + test_message = QueueMessage(type="test", data={"message": "this is a test"}) + await mq.publish(test_message) + async def clean_up() -> None: + mq = KafkaMessageQueue() + await mq.cleanup_local(["test"]) -if __name__ == "__main__": - import logging - import logging - import sys + if args.produce: + asyncio.run(produce()) - logging.basicConfig(stream=sys.stdout, level=logging.INFO) + if args.consume: + asyncio.run(consume()) - logger.addHandler(logging.StreamHandler(stream=sys.stdout)) - asyncio.run(produce()) - # asyncio.run(consume()) - # asyncio.run(clean_up()) + if args.clean_up: + asyncio.run(clean_up()) From 97f4029d629d724cf301f90074e225bc3eaccc29 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 13:04:33 -0400 Subject: [PATCH 12/29] start unit tests --- llama_agents/message_queues/apache_kafka.py | 6 ++++-- tests/message_queues/test_apache_kafka.py | 15 +++++++++++++++ 2 files changed, 19 insertions(+), 2 deletions(-) create mode 100644 tests/message_queues/test_apache_kafka.py diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index c5ee29ac..dea6d107 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -106,13 +106,15 @@ async def cleanup_local( await asyncio.sleep(0.1) # apply small wait for delete to actually take place async def deregister_consumer(self, consumer: BaseMessageQueueConsumer) -> Any: - ... + """Deregister a consumer.""" + raise NotImplementedError async def launch_local(self) -> asyncio.Task: return asyncio.create_task(self.processing_loop()) async def launch_server(self) -> None: - ... + """Launch server.""" + raise NotImplementedError async def processing_loop(self) -> None: pass diff --git a/tests/message_queues/test_apache_kafka.py b/tests/message_queues/test_apache_kafka.py new file mode 100644 index 00000000..27f5a64e --- /dev/null +++ b/tests/message_queues/test_apache_kafka.py @@ -0,0 +1,15 @@ +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue + + +try: + import aiokafka +except (ModuleNotFoundError, ImportError): + aiokafka = None + + +def test_init() -> None: + # arrange/act + mq = KafkaMessageQueue(url="0.0.0.0:5555") + + # assert + assert mq.url == "0.0.0.0:5555" From c5cd60d5faa6d073033c11ba1fef47fb62e2d24e Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 13:22:13 -0400 Subject: [PATCH 13/29] add some unit tests --- tests/message_queues/test_apache_kafka.py | 38 +++++++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/tests/message_queues/test_apache_kafka.py b/tests/message_queues/test_apache_kafka.py index 27f5a64e..3b29ffb3 100644 --- a/tests/message_queues/test_apache_kafka.py +++ b/tests/message_queues/test_apache_kafka.py @@ -1,3 +1,7 @@ +import json +import pytest +from unittest.mock import patch, AsyncMock +from llama_agents import QueueMessage from llama_agents.message_queues.apache_kafka import KafkaMessageQueue @@ -13,3 +17,37 @@ def test_init() -> None: # assert assert mq.url == "0.0.0.0:5555" + + +def test_from_url_params() -> None: + # arrange + host = "mock-host" + port = 8080 + + # act + mq = KafkaMessageQueue.from_url_params(host=host, port=port) + + # assert + assert mq.url == f"{host}:{port}" + + +@pytest.mark.asyncio() +@pytest.mark.skipif(aiokafka is None, reason="aiokafka not installed") +async def test_publish() -> None: + from aiokafka import AIOKafkaProducer + + # Arrange + mq = KafkaMessageQueue() + + # message types + queue_message = QueueMessage(publisher_id="test", id_="1") + message_body = json.dumps(queue_message.model_dump()).encode("utf-8") + + with patch.object( + AIOKafkaProducer, "send_and_wait", new_callable=AsyncMock + ) as mock_send_and_wait: + # Act + _ = await mq._publish(queue_message) + + # Assert + mock_send_and_wait.assert_awaited_once_with(queue_message.type, message_body) From 1dc64a822af7d8ad03536630cf1b0f5165094f02 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 13:29:39 -0400 Subject: [PATCH 14/29] mock producer.start --- tests/message_queues/test_apache_kafka.py | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/tests/message_queues/test_apache_kafka.py b/tests/message_queues/test_apache_kafka.py index 3b29ffb3..4b619c70 100644 --- a/tests/message_queues/test_apache_kafka.py +++ b/tests/message_queues/test_apache_kafka.py @@ -43,11 +43,15 @@ async def test_publish() -> None: queue_message = QueueMessage(publisher_id="test", id_="1") message_body = json.dumps(queue_message.model_dump()).encode("utf-8") - with patch.object( - AIOKafkaProducer, "send_and_wait", new_callable=AsyncMock - ) as mock_send_and_wait: - # Act - _ = await mq._publish(queue_message) - - # Assert - mock_send_and_wait.assert_awaited_once_with(queue_message.type, message_body) + with patch.object(AIOKafkaProducer, "start", new_callable=AsyncMock) as mock_start: + with patch.object( + AIOKafkaProducer, "send_and_wait", new_callable=AsyncMock + ) as mock_send_and_wait: + # Act + _ = await mq._publish(queue_message) + + # Assert + mock_start.assert_awaited_once() + mock_send_and_wait.assert_awaited_once_with( + queue_message.type, message_body + ) From 7d62f54c7df812e089bd701d72fc61cb3e7405f8 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 14:20:04 -0400 Subject: [PATCH 15/29] start examples --- examples/kafka/README.md | 49 +++++++++++++ .../simple-scripts/local_launcher_single.py | 71 +++++++++++++++++++ llama_agents/launchers/local.py | 14 ++-- llama_agents/message_queues/apache_kafka.py | 24 ++++--- 4 files changed, 141 insertions(+), 17 deletions(-) create mode 100644 examples/kafka/README.md create mode 100644 examples/kafka/simple-scripts/local_launcher_single.py diff --git a/examples/kafka/README.md b/examples/kafka/README.md new file mode 100644 index 00000000..6f39b594 --- /dev/null +++ b/examples/kafka/README.md @@ -0,0 +1,49 @@ +# Using Apache Kafka as the MessageQueue + +The examples contained in this subdirectory make use of the Apache Kafka integration +within `llama-agents`. + +To run these examples, you'll need to have the installed the `kafka` extra: + +```sh +# using pip install +pip install llama-agents[kafka] + +# using poetry +poetry add llama-agents -E "kafka" +``` + +## Usage Pattern + +```python +from llama_agents.message_queue.apache_kafka import KafkaMessageQueue + +message_queue = KafkaMessageQueue( + url=... +) # if no url is supplied the default localhost:9092 is used +``` + +## Examples + +### Simple Scripts + +A couple of scripts using `LocalLauncher` and a `LocalServer` with +`KafkaMessageQueue` (rather than `SimpleMessageQueue`) are included in this +subdirectory. + +Before running any of these scrtips we first need to have Kafka cluster running. +For a quick setup, we recommend using the official Kafka community [docker image](https://hub.docker.com/r/apache/kafka): + +```sh +docker run -p 9092:9092 apache/kafka:3.7.1 +``` + +With our Kafka broker running, we can now run our example scripts. + +```sh +# using LocalLauncher +python ./simple-scripts/local_launcher_example.py +``` + +The script above will build a simple multi-agent app, connect it to the Kafka +message queue, and subsequently send the specified task. diff --git a/examples/kafka/simple-scripts/local_launcher_single.py b/examples/kafka/simple-scripts/local_launcher_single.py new file mode 100644 index 00000000..0c2459fe --- /dev/null +++ b/examples/kafka/simple-scripts/local_launcher_single.py @@ -0,0 +1,71 @@ +from llama_agents import ( + AgentService, + ControlPlaneServer, + PipelineOrchestrator, + ServiceComponent, +) +from llama_agents.tools import ServiceAsTool +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue +from llama_agents.launchers.local import LocalLauncher + + +from llama_index.core.agent import FunctionCallingAgentWorker +from llama_index.core.tools import FunctionTool +from llama_index.core.query_pipeline import QueryPipeline +from llama_index.llms.openai import OpenAI +from llama_index.agent.openai import OpenAIAgent + + +# logging.basicConfig(stream=sys.stdout, level=logging.INFO) +# logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout)) + + +# create an agent +def get_the_secret_fact() -> str: + """Returns the secret fact.""" + return "The secret fact is: A baby llama is called a 'Cria'." + + +tool = FunctionTool.from_defaults(fn=get_the_secret_fact) + +worker1 = FunctionCallingAgentWorker.from_tools([tool], llm=OpenAI()) +agent1 = worker1.as_agent() + +# create our multi-agent framework components +message_queue = KafkaMessageQueue() + +agent1_server = AgentService( + agent=agent1, + message_queue=message_queue, + description="Useful for getting the secret fact.", + service_name="secret_fact_agent", +) + +agent1_server_tool = ServiceAsTool.from_service_definition( + message_queue=message_queue, service_definition=agent1_server.service_definition +) + +agent2 = OpenAIAgent.from_tools( + [agent1_server_tool], + system_prompt="Perform the task, return the result as well as a funny joke.", +) # worker2.as_agent() +agent2_server = AgentService( + agent=agent2, + message_queue=message_queue, + description="Useful for telling funny jokes.", + service_name="dumb_fact_agent", +) + +agent2_component = ServiceComponent.from_service_definition(agent2_server) + +pipeline = QueryPipeline(chain=[agent2_component]) + +pipeline_orchestrator = PipelineOrchestrator(pipeline) + +control_plane = ControlPlaneServer(message_queue, pipeline_orchestrator) + +# launch it +launcher = LocalLauncher([agent1_server, agent2_server], control_plane, message_queue) +result = launcher.launch_single("What is the secret fact?") + +print(f"Result: {result}") diff --git a/llama_agents/launchers/local.py b/llama_agents/launchers/local.py index c570d443..8c14b340 100644 --- a/llama_agents/launchers/local.py +++ b/llama_agents/launchers/local.py @@ -215,13 +215,13 @@ async def alaunch_single(self, initial_task: str) -> str: await self.message_queue.deregister_consumer(self.control_plane.as_consumer()) # clean up before shutting down mq - await self.message_queue.cleanup_local( - message_types=[ - c.message_type - for c in [s.as_consumer() for s in self.services] - + [self.control_plane.as_consumer(), human_consumer] - ] - ) + # await self.message_queue.cleanup_local( + # message_types=[ + # c.message_type + # for c in [s.as_consumer() for s in self.services] + # + [self.control_plane.as_consumer(), human_consumer] + # ] + # ) mq_task.cancel() return self.result or "No result found." diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index dea6d107..b49f2808 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -102,19 +102,23 @@ async def cleanup_local( from kafka.admin import KafkaAdminClient admin_client = KafkaAdminClient(bootstrap_servers=self.url) - admin_client.delete_topics(message_types) + active_topics = admin_client.list_topics() + topics_to_delete = [el for el in message_types if el in active_topics] + logger.info(f"TOPICS TO DELETE: {topics_to_delete}") + if topics_to_delete: + admin_client.delete_topics(topics_to_delete) await asyncio.sleep(0.1) # apply small wait for delete to actually take place async def deregister_consumer(self, consumer: BaseMessageQueueConsumer) -> Any: """Deregister a consumer.""" - raise NotImplementedError + pass async def launch_local(self) -> asyncio.Task: return asyncio.create_task(self.processing_loop()) async def launch_server(self) -> None: """Launch server.""" - raise NotImplementedError + pass async def processing_loop(self) -> None: pass @@ -127,6 +131,13 @@ async def register_consumer( # register topic self._create_new_topic(consumer.message_type) + kafka_consumer = AIOKafkaConsumer( + consumer.message_type, + bootstrap_servers=self.url, + group_id=DEFAULT_GROUP_ID, + auto_offset_reset="earliest", + ) + await kafka_consumer.start() logger.info( f"Registered consumer {consumer.id_}: {consumer.message_type}", @@ -134,13 +145,6 @@ async def register_consumer( async def start_consuming_callable() -> None: """StartConsumingCallable.""" - - kafka_consumer = AIOKafkaConsumer( - consumer.message_type, - bootstrap_servers=self.url, - group_id=DEFAULT_GROUP_ID, - ) - await kafka_consumer.start() try: async for msg in kafka_consumer: decoded_message = json.loads(msg.value.decode("utf-8")) From 5830f4db9973d5cd00710183df75be954c83ae13 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 14:21:35 -0400 Subject: [PATCH 16/29] wip --- llama_agents/launchers/local.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/llama_agents/launchers/local.py b/llama_agents/launchers/local.py index 8c14b340..c570d443 100644 --- a/llama_agents/launchers/local.py +++ b/llama_agents/launchers/local.py @@ -215,13 +215,13 @@ async def alaunch_single(self, initial_task: str) -> str: await self.message_queue.deregister_consumer(self.control_plane.as_consumer()) # clean up before shutting down mq - # await self.message_queue.cleanup_local( - # message_types=[ - # c.message_type - # for c in [s.as_consumer() for s in self.services] - # + [self.control_plane.as_consumer(), human_consumer] - # ] - # ) + await self.message_queue.cleanup_local( + message_types=[ + c.message_type + for c in [s.as_consumer() for s in self.services] + + [self.control_plane.as_consumer(), human_consumer] + ] + ) mq_task.cancel() return self.result or "No result found." From 17338d70bc3488086b41952cf10ce62c7821c199 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 15:09:04 -0400 Subject: [PATCH 17/29] clean up --- .../simple-scripts/local_launcher_single.py | 55 ++++++++----------- llama_agents/launchers/local.py | 1 + llama_agents/message_queues/apache_kafka.py | 11 +++- 3 files changed, 32 insertions(+), 35 deletions(-) diff --git a/examples/kafka/simple-scripts/local_launcher_single.py b/examples/kafka/simple-scripts/local_launcher_single.py index 0c2459fe..ed217023 100644 --- a/examples/kafka/simple-scripts/local_launcher_single.py +++ b/examples/kafka/simple-scripts/local_launcher_single.py @@ -1,23 +1,18 @@ from llama_agents import ( AgentService, + HumanService, ControlPlaneServer, PipelineOrchestrator, ServiceComponent, + LocalLauncher, ) -from llama_agents.tools import ServiceAsTool from llama_agents.message_queues.apache_kafka import KafkaMessageQueue -from llama_agents.launchers.local import LocalLauncher - from llama_index.core.agent import FunctionCallingAgentWorker from llama_index.core.tools import FunctionTool -from llama_index.core.query_pipeline import QueryPipeline +from llama_index.core.query_pipeline import RouterComponent, QueryPipeline from llama_index.llms.openai import OpenAI -from llama_index.agent.openai import OpenAIAgent - - -# logging.basicConfig(stream=sys.stdout, level=logging.INFO) -# logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout)) +from llama_index.core.selectors import PydanticSingleSelector # create an agent @@ -28,44 +23,40 @@ def get_the_secret_fact() -> str: tool = FunctionTool.from_defaults(fn=get_the_secret_fact) -worker1 = FunctionCallingAgentWorker.from_tools([tool], llm=OpenAI()) -agent1 = worker1.as_agent() - # create our multi-agent framework components message_queue = KafkaMessageQueue() -agent1_server = AgentService( - agent=agent1, +worker = FunctionCallingAgentWorker.from_tools([tool], llm=OpenAI()) +agent = worker.as_agent() +agent_service = AgentService( + agent=agent, message_queue=message_queue, description="Useful for getting the secret fact.", service_name="secret_fact_agent", ) +agent_component = ServiceComponent.from_service_definition(agent_service) -agent1_server_tool = ServiceAsTool.from_service_definition( - message_queue=message_queue, service_definition=agent1_server.service_definition +human_service = HumanService( + message_queue=message_queue, description="Answers queries about math." ) - -agent2 = OpenAIAgent.from_tools( - [agent1_server_tool], - system_prompt="Perform the task, return the result as well as a funny joke.", -) # worker2.as_agent() -agent2_server = AgentService( - agent=agent2, - message_queue=message_queue, - description="Useful for telling funny jokes.", - service_name="dumb_fact_agent", +human_component = ServiceComponent.from_service_definition(human_service) + +pipeline = QueryPipeline( + chain=[ + RouterComponent( + selector=PydanticSingleSelector.from_defaults(llm=OpenAI()), + choices=[agent_service.description, human_service.description], + components=[agent_component, human_component], + ) + ] ) -agent2_component = ServiceComponent.from_service_definition(agent2_server) - -pipeline = QueryPipeline(chain=[agent2_component]) - pipeline_orchestrator = PipelineOrchestrator(pipeline) control_plane = ControlPlaneServer(message_queue, pipeline_orchestrator) # launch it -launcher = LocalLauncher([agent1_server, agent2_server], control_plane, message_queue) -result = launcher.launch_single("What is the secret fact?") +launcher = LocalLauncher([agent_service, human_service], control_plane, message_queue) +result = launcher.launch_single("What is 1 + 2 + 3 + 4 + 5?") print(f"Result: {result}") diff --git a/llama_agents/launchers/local.py b/llama_agents/launchers/local.py index c570d443..076fce97 100644 --- a/llama_agents/launchers/local.py +++ b/llama_agents/launchers/local.py @@ -200,6 +200,7 @@ async def alaunch_single(self, initial_task: str) -> str: # shutdown tasks for task in bg_tasks + start_consuming_tasks: task.cancel() + await asyncio.sleep(0.1) # clean up registered services for service in self.services: diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index b49f2808..450b9cb1 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -104,10 +104,9 @@ async def cleanup_local( admin_client = KafkaAdminClient(bootstrap_servers=self.url) active_topics = admin_client.list_topics() topics_to_delete = [el for el in message_types if el in active_topics] - logger.info(f"TOPICS TO DELETE: {topics_to_delete}") + admin_client.delete_consumer_groups(DEFAULT_GROUP_ID) if topics_to_delete: admin_client.delete_topics(topics_to_delete) - await asyncio.sleep(0.1) # apply small wait for delete to actually take place async def deregister_consumer(self, consumer: BaseMessageQueueConsumer) -> Any: """Deregister a consumer.""" @@ -151,7 +150,13 @@ async def start_consuming_callable() -> None: queue_message = QueueMessage.model_validate(decoded_message) await consumer.process_message(queue_message) finally: - await kafka_consumer.stop() + stop_task = asyncio.create_task(kafka_consumer.stop()) + stop_task.add_done_callback( + lambda _: logger.info( + f"stopped kafka consumer {consumer.id_}: {consumer.message_type}" + ) + ) + await asyncio.shield(stop_task) return start_consuming_callable From 0c5ea51a058faebeca356450da52c7930a8f162d Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 15:11:12 -0400 Subject: [PATCH 18/29] lint --- .../{local_launcher_single.py => local_launcher_human_single.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename examples/kafka/simple-scripts/{local_launcher_single.py => local_launcher_human_single.py} (100%) diff --git a/examples/kafka/simple-scripts/local_launcher_single.py b/examples/kafka/simple-scripts/local_launcher_human_single.py similarity index 100% rename from examples/kafka/simple-scripts/local_launcher_single.py rename to examples/kafka/simple-scripts/local_launcher_human_single.py From ba46a07461a7566e1325a233ed0080047e0ddfa4 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 15:12:40 -0400 Subject: [PATCH 19/29] update readme --- examples/kafka/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/kafka/README.md b/examples/kafka/README.md index 6f39b594..cb19d476 100644 --- a/examples/kafka/README.md +++ b/examples/kafka/README.md @@ -42,7 +42,7 @@ With our Kafka broker running, we can now run our example scripts. ```sh # using LocalLauncher -python ./simple-scripts/local_launcher_example.py +python ./simple-scripts/local_launcher_human_single.py ``` The script above will build a simple multi-agent app, connect it to the Kafka From 8e51a7b9918db6d6982b8358b1404c11902105d4 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 20:06:14 -0400 Subject: [PATCH 20/29] docker compose --- examples/kafka/README.md | 2 + .../kafka/pig-latin-translation/.gitignore | 11 + .../kafka/pig-latin-translation/Dockerfile | 49 + .../kafka/pig-latin-translation/README.md | 0 .../pig-latin-translation/docker-compose.yml | 125 + .../kafka/pig-latin-translation/logging.ini | 18 + .../pig_latin_translation/__init__.py | 0 .../additional_services/__init__.py | 0 .../additional_services/human_consumer.py | 46 + .../additional_services/task_result.py | 77 + .../agent_services/__init__.py | 0 .../correct_first_character_agent.py | 106 + .../agent_services/decorators.py | 69 + .../agent_services/remove_ay_agent.py | 115 + .../core_services/__init__.py | 0 .../core_services/control_plane.py | 71 + .../core_services/message_queue.py | 10 + .../pig_latin_translation/utils.py | 9 + .../kafka/pig-latin-translation/poetry.lock | 2199 +++++++++++++++++ .../pig-latin-translation/pyproject.toml | 16 + 20 files changed, 2923 insertions(+) create mode 100644 examples/kafka/pig-latin-translation/.gitignore create mode 100644 examples/kafka/pig-latin-translation/Dockerfile create mode 100644 examples/kafka/pig-latin-translation/README.md create mode 100644 examples/kafka/pig-latin-translation/docker-compose.yml create mode 100644 examples/kafka/pig-latin-translation/logging.ini create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/__init__.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/__init__.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/human_consumer.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/__init__.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/correct_first_character_agent.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/decorators.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/remove_ay_agent.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/core_services/__init__.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/core_services/control_plane.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/core_services/message_queue.py create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/utils.py create mode 100644 examples/kafka/pig-latin-translation/poetry.lock create mode 100644 examples/kafka/pig-latin-translation/pyproject.toml diff --git a/examples/kafka/README.md b/examples/kafka/README.md index cb19d476..61af98cc 100644 --- a/examples/kafka/README.md +++ b/examples/kafka/README.md @@ -47,3 +47,5 @@ python ./simple-scripts/local_launcher_human_single.py The script above will build a simple multi-agent app, connect it to the Kafka message queue, and subsequently send the specified task. + +### Example App: Pig-Latin Translator diff --git a/examples/kafka/pig-latin-translation/.gitignore b/examples/kafka/pig-latin-translation/.gitignore new file mode 100644 index 00000000..fb89d726 --- /dev/null +++ b/examples/kafka/pig-latin-translation/.gitignore @@ -0,0 +1,11 @@ +.env.* +.env +poetry.lock +index.html.* +index.html +task_results +.ipynb_checkpoints/ +secrets.yaml +Dockerfile.local +docker-compose.local.yml +pyproject.local.toml diff --git a/examples/kafka/pig-latin-translation/Dockerfile b/examples/kafka/pig-latin-translation/Dockerfile new file mode 100644 index 00000000..5154237c --- /dev/null +++ b/examples/kafka/pig-latin-translation/Dockerfile @@ -0,0 +1,49 @@ +FROM --platform=linux/amd64 python:3.10-slim as builder + +WORKDIR /app + +ENV POETRY_VERSION=1.7.1 + +# Install libraries for necessary python package builds +RUN apt-get update && apt-get --no-install-recommends install build-essential python3-dev libpq-dev -y && \ + pip install --no-cache-dir --upgrade pip && \ + pip install --no-cache-dir --upgrade poetry==${POETRY_VERSION} + +# Install ssh +RUN apt-get -yq update && apt-get -yqq install ssh + +# Configure Poetry +ENV POETRY_CACHE_DIR=/tmp/poetry_cache +ENV POETRY_NO_INTERACTION=1 +ENV POETRY_VIRTUALENVS_IN_PROJECT=true +ENV POETRY_VIRTUALENVS_CREATE=true + +# Install dependencies +COPY ./poetry.lock ./pyproject.toml ./ + +RUN poetry install --no-cache --no-root + +FROM --platform=linux/amd64 python:3.10-slim as runtime + +# Install wget for healthcheck +RUN apt-get update && apt-get install -y wget + +RUN apt-get update -y && \ + apt-get install --no-install-recommends libpq5 -y && \ + rm -rf /var/lib/apt/lists/* # Install libpq for psycopg2 + +RUN groupadd -r appuser && useradd --no-create-home -g appuser -r appuser +USER appuser + +WORKDIR /app + +ENV VIRTUAL_ENV=/app/.venv +COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV} +ENV PATH="${VIRTUAL_ENV}/bin:${PATH}" + +# Copy source code +COPY ./logging.ini ./logging.ini +COPY ./pig_latin_translation ./pig_latin_translation + +# Copy data for Agentic RAG +COPY ./data ./data diff --git a/examples/kafka/pig-latin-translation/README.md b/examples/kafka/pig-latin-translation/README.md new file mode 100644 index 00000000..e69de29b diff --git a/examples/kafka/pig-latin-translation/docker-compose.yml b/examples/kafka/pig-latin-translation/docker-compose.yml new file mode 100644 index 00000000..e831cffe --- /dev/null +++ b/examples/kafka/pig-latin-translation/docker-compose.yml @@ -0,0 +1,125 @@ +version: "3" +services: + kafka: + image: apache/kafka:3.7.1 + hostname: kafka + container_name: kafka + ports: + - "9092:9092" + env_file: + - .env.docker + environment: + KAFKA_NODE_ID: 1 + KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: "CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT" + KAFKA_ADVERTISED_LISTENERS: "PLAINTEXT_HOST://localhost:9092,PLAINTEXT://kafka:19092" + KAFKA_PROCESS_ROLES: "broker,controller" + KAFKA_CONTROLLER_QUORUM_VOTERS: "1@kafka:29093" + KAFKA_LISTENERS: "CONTROLLER://:29093,PLAINTEXT_HOST://:9092,PLAINTEXT://:19092" + KAFKA_INTER_BROKER_LISTENER_NAME: "PLAINTEXT" + KAFKA_CONTROLLER_LISTENER_NAMES: "CONTROLLER" + KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 + KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0 + KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1 + KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1 + KAFKA_LOG_DIRS: "/tmp/kraft-combined-logs" + control_plane: + image: pig_latin_translation:latest + command: sh -c "python -m pig_latin_translation.core_services.control_plane" + env_file: + - .env.docker + ports: + - "8001:8001" + volumes: + - ./pig_latin_translation:/app/pig_latin_translation # load local code change to container without the need of rebuild + - ./logging.ini:/app/logging.ini + depends_on: + rabbitmq: + condition: service_healthy + platform: linux/amd64 + build: + context: . + dockerfile: ./Dockerfile + healthcheck: + test: wget --no-verbose --tries=1 http://0.0.0.0:8001/ || exit 1 + interval: 30s + retries: 5 + start_period: 20s + timeout: 10s + ay_agent: + image: pig_latin_translation:latest + command: sh -c "python -m pig_latin_translation.agent_services.remove_ay_agent" + env_file: + - ./.env.docker + ports: + - "8002:8002" + volumes: + - ./pig_latin_translation:/app/pig_latin_translation # load local code change to container without the need of rebuild + - ./logging.ini:/app/logging.ini + platform: linux/amd64 + depends_on: + rabbitmq: + condition: service_healthy + control_plane: + condition: service_healthy + build: + context: . + dockerfile: ./Dockerfile + healthcheck: + test: wget --no-verbose --tries=1 http://0.0.0.0:8002/ || exit 1 + interval: 30s + retries: 5 + start_period: 20s + timeout: 10s + first_char_agent: + image: pig_latin_translation:latest + command: sh -c "python -m pig_latin_translation.agent_services.correct_first_character_agent" + env_file: + - ./.env.docker + ports: + - "8003:8003" + volumes: + - ./pig_latin_translation:/app/pig_latin_translation # load local code change to container without the need of rebuild + - ./logging.ini:/app/logging.ini + depends_on: + rabbitmq: + condition: service_healthy + control_plane: + condition: service_healthy + platform: linux/amd64 + build: + context: . + dockerfile: ./Dockerfile + healthcheck: + test: wget --no-verbose --tries=1 http://0.0.0.0:8003/ || exit 1 + interval: 30s + retries: 5 + start_period: 20s + timeout: 10s + human_consumer: + image: pig_latin_translation:latest + command: sh -c "python -m pig_latin_translation.additional_services.human_consumer" + env_file: + - ./.env.docker + ports: + - "8004:8004" + volumes: + - ./pig_latin_translation:/app/pig_latin_translation # load local code change to container without the need of rebuild + - ./logging.ini:/app/logging.ini + - ./task_results:/app/task_results + platform: linux/amd64 + depends_on: + rabbitmq: + condition: service_healthy + control_plane: + condition: service_healthy + build: + context: . + dockerfile: ./Dockerfile + healthcheck: + test: wget --no-verbose --tries=1 http://0.0.0.0:8004/ || exit 1 + interval: 30s + retries: 5 + start_period: 20s + timeout: 10s +volumes: + rabbitmq: diff --git a/examples/kafka/pig-latin-translation/logging.ini b/examples/kafka/pig-latin-translation/logging.ini new file mode 100644 index 00000000..07bad50a --- /dev/null +++ b/examples/kafka/pig-latin-translation/logging.ini @@ -0,0 +1,18 @@ +[loggers] +keys=root + +[handlers] +keys=consoleHandler + +[formatters] +keys=sampleFormatter + +[logger_root] +handlers=consoleHandler + +[handler_consoleHandler] +class=StreamHandler +formatter=sampleFormatter + +[formatter_sampleFormatter] +format=%(asctime)s - %(levelname)s - %(message)s diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/__init__.py b/examples/kafka/pig-latin-translation/pig_latin_translation/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/__init__.py b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/human_consumer.py b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/human_consumer.py new file mode 100644 index 00000000..4fe656cb --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/human_consumer.py @@ -0,0 +1,46 @@ +import asyncio +import uvicorn +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue +from pig_latin_translation.additional_services.task_result import TaskResultService +from pig_latin_translation.utils import load_from_env + +message_queue_host = load_from_env("KAFKA_HOST") +message_queue_port = load_from_env("KAFKA_PORT") +human_consumer_host = load_from_env("HUMAN_CONSUMER_HOST") +human_consumer_port = load_from_env("HUMAN_CONSUMER_PORT") +localhost = load_from_env("LOCALHOST") + + +# create our multi-agent framework components +message_queue = KafkaMessageQueue.from_url_params( + host=message_queue_host, + port=int(message_queue_port) if message_queue_port else None, +) + +human_consumer_server = TaskResultService( + message_queue=message_queue, + host=human_consumer_host, + port=int(human_consumer_port) if human_consumer_port else None, + name="human", +) + +app = human_consumer_server._app + + +# launch +async def launch() -> None: + # register to message queue and start consuming + start_consuming_callable = await human_consumer_server.register_to_message_queue() + _ = asyncio.create_task(start_consuming_callable()) + + cfg = uvicorn.Config( + human_consumer_server._app, + host=localhost, + port=human_consumer_server.port, + ) + server = uvicorn.Server(cfg) + await server.serve() + + +if __name__ == "__main__": + asyncio.run(launch()) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py new file mode 100644 index 00000000..78872f30 --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py @@ -0,0 +1,77 @@ +import json +from pathlib import Path +from typing import Dict, Optional +from llama_agents import ( + CallableMessageConsumer, + QueueMessage, +) +from fastapi import FastAPI +from llama_agents.message_queues.base import BaseMessageQueue +from llama_agents.message_consumers.base import ( + BaseMessageQueueConsumer, + StartConsumingCallable, +) +from llama_agents.message_consumers.remote import RemoteMessageConsumer +from logging import getLogger + +logger = getLogger(__name__) + + +class TaskResultService: + def __init__( + self, + message_queue: BaseMessageQueue, + name: str = "human", + host: str = "127.0.0.1", + port: Optional[int] = 8000, + ) -> None: + self.name = name + self.host = host + self.port = port + + self._message_queue = message_queue + + # app + self._app = FastAPI() + self._app.add_api_route( + "/", self.home, methods=["GET"], tags=["Human Consumer"] + ) + self._app.add_api_route( + "/process_message", + self.process_message, + methods=["POST"], + tags=["Human Consumer"], + ) + + @property + def message_queue(self) -> BaseMessageQueue: + return self._message_queue + + def as_consumer(self, remote: bool = False) -> BaseMessageQueueConsumer: + if remote: + return RemoteMessageConsumer( + url=( + f"http://{self.host}:{self.port}/process_message" + if self.port + else f"http://{self.host}/process_message" + ), + message_type=self.name, + ) + + return CallableMessageConsumer( + message_type=self.name, + handler=self.process_message, + ) + + async def process_message(self, message: QueueMessage) -> None: + Path("task_results").mkdir(exist_ok=True) + with open("task_results/task_results.jsonl", "+a") as f: + json.dump(message.model_dump(), f) + f.write("\n") + + async def home(self) -> Dict[str, str]: + return {"message": "hello, human."} + + async def register_to_message_queue(self) -> StartConsumingCallable: + """Register to the message queue.""" + return await self.message_queue.register_consumer(self.as_consumer(remote=True)) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/__init__.py b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/correct_first_character_agent.py b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/correct_first_character_agent.py new file mode 100644 index 00000000..4efc315e --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/correct_first_character_agent.py @@ -0,0 +1,106 @@ +import asyncio +import uvicorn + +from llama_agents import AgentService +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue + +from llama_index.core.agent import FunctionCallingAgentWorker +from llama_index.core.tools import FunctionTool +from llama_index.llms.openai import OpenAI + +from pig_latin_translation.utils import load_from_env +from pig_latin_translation.agent_services.decorators import exponential_delay + +from logging import getLogger + +logger = getLogger(__name__) + +message_queue_host = load_from_env("KAFKA_HOST") +message_queue_port = load_from_env("KAFKA_PORT") +control_plane_host = load_from_env("CONTROL_PLANE_HOST") +control_plane_port = load_from_env("CONTROL_PLANE_PORT") +correct_first_character_agent_host = load_from_env("FIRST_CHAR_AGENT_HOST") +correct_first_character_agent_port = load_from_env("FIRST_CHAR_AGENT_PORT") +localhost = load_from_env("LOCALHOST") + + +STARTUP_RATE = 1 + + +# create an agent +@exponential_delay(STARTUP_RATE) +def sync_correct_first_character(input: str) -> str: + """Corrects the first character.""" + logger.info(f"received task input: {input}") + tokens = input.split() + res = " ".join([t[-1] + t[0:-1] for t in tokens]) + logger.info(f"Corrected first character: {res}") + return res + + +@exponential_delay(STARTUP_RATE) +async def async_correct_first_character(input: str) -> str: + """Corrects the first character.""" + logger.info(f"received task input: {input}") + tokens = input.split() + res = " ".join([t[-1] + t[0:-1] for t in tokens]) + logger.info(f"Corrected first character: {res}") + return res + + +tool = FunctionTool.from_defaults( + fn=sync_correct_first_character, async_fn=async_correct_first_character +) +worker = FunctionCallingAgentWorker.from_tools( + [tool], llm=OpenAI(), max_function_calls=1 +) +agent = worker.as_agent() + +# create agent server +message_queue = KafkaMessageQueue.from_url_params( + host=message_queue_host, + port=int(message_queue_port) if message_queue_port else None, +) + +agent_server = AgentService( + agent=agent, + message_queue=message_queue, + description="Brings back the last character to the correct position.", + service_name="correct_first_character_agent", + host=correct_first_character_agent_host, + port=( + int(correct_first_character_agent_port) + if correct_first_character_agent_port + else None + ), +) + +app = agent_server._app + + +# launch +async def launch() -> None: + # register to message queue + start_consuming_callable = await agent_server.register_to_message_queue() + _ = asyncio.create_task(start_consuming_callable()) + + # register to control plane + await agent_server.register_to_control_plane( + control_plane_url=( + f"http://{control_plane_host}:{control_plane_port}" + if control_plane_port + else f"http://{control_plane_host}" + ) + ) + + cfg = uvicorn.Config( + agent_server._app, + host=localhost, + port=agent_server.port, + ) + server = uvicorn.Server(cfg) + await server.serve() + + +if __name__ == "__main__": + asyncio.run(launch()) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/decorators.py b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/decorators.py new file mode 100644 index 00000000..67f1d6aa --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/decorators.py @@ -0,0 +1,69 @@ +import asyncio +import time +import numpy as np +import functools +from typing import Any, Callable + +from logging import getLogger + +logger = getLogger(__name__) + + +def exponential_delay(exponential_rate: float) -> Callable: + """Wrapper for exponential tool.""" + + def decorator(func: Callable) -> Callable: + @functools.wraps(func) + def wrapper(*args: Any, **kwargs: Any) -> str: + # random delay + delay = np.random.exponential(exponential_rate) + logger.info(f"waiting for {delay} seconds") + time.sleep(delay) + return func(*args, **kwargs) + + @functools.wraps(func) + async def async_wrapper(*args: Any, **kwargs: Any) -> str: + # random delay + delay = np.random.exponential(exponential_rate) + logger.info(f"waiting for {delay} seconds") + # await asyncio.sleep(delay) + return await func(*args, **kwargs) + + return async_wrapper if asyncio.iscoroutinefunction(func) else wrapper + + return decorator + + +async def main() -> None: + @exponential_delay(2) + async def get_the_secret_fact() -> str: + """Returns the secret fact.""" + return "The secret fact is: A baby llama is called a 'Cria'." + + @exponential_delay(1) + async def async_correct_first_character(input: str) -> str: + """Corrects the first character.""" + tokens = input.split() + return " ".join([t[-1] + t[0:-1] for t in tokens]) + + @exponential_delay(0.5) + async def async_remove_ay_suffix(input: str) -> str: + """Removes 'ay' suffix from each token in the input_sentence. + + Params: + input_sentence (str): The input sentence i.e., sequence of words + """ + logger.info(f"received task input: {input}") + tokens = input.split() + res = " ".join([t[:-2] for t in tokens]) + logger.info(f"Removed 'ay' suffix: {res}") + return res + + output = await async_remove_ay_suffix(input="eyhay ouyay") + + print(output) + print(async_remove_ay_suffix.__doc__) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/remove_ay_agent.py b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/remove_ay_agent.py new file mode 100644 index 00000000..e8395ea5 --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/agent_services/remove_ay_agent.py @@ -0,0 +1,115 @@ +import asyncio +import uvicorn + +from llama_agents import AgentService +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue + +from llama_index.core.agent import FunctionCallingAgentWorker +from llama_index.core.tools import FunctionTool +from llama_index.llms.openai import OpenAI + +from pig_latin_translation.utils import load_from_env +from pig_latin_translation.agent_services.decorators import exponential_delay + +from logging import getLogger + +logger = getLogger(__name__) + +message_queue_host = load_from_env("KAFKA_HOST") +message_queue_port = load_from_env("KAFKA_PORT") +control_plane_host = load_from_env("CONTROL_PLANE_HOST") +control_plane_port = load_from_env("CONTROL_PLANE_PORT") +remove_ay_agent_host = load_from_env("AY_AGENT_HOST") +remove_ay_agent_port = load_from_env("AY_AGENT_PORT") +localhost = load_from_env("LOCALHOST") + + +STARTUP_RATE = 3 +SYSTEM_PROMPT = """Pass the entire sentence to the remove 'ay' suffix tool. +The tool will remove 'ay' from every word in the sentence. +Do not send tokens one at a time to the tool! +Do not call the tool more than once! +""" + + +# create an agent +@exponential_delay(STARTUP_RATE) +def sync_remove_ay_suffix(input_sentence: str) -> str: + """Removes 'ay' suffix from each token in the input_sentence. + + Params: + input_sentence (str): The input sentence i.e., sequence of words + """ + logger.info(f"received task input: {input_sentence}") + tokens = input_sentence.split() + res = " ".join([t[:-2] for t in tokens]) + logger.info(f"Removed 'ay' suffix: {res}") + return res + + +@exponential_delay(STARTUP_RATE) +async def async_remove_ay_suffix(input_sentence: str) -> str: + """Removes 'ay' suffix from each token in the input_sentence. + + Params: + input_sentence (str): The input sentence i.e., sequence of words + """ + logger.info(f"received task input: {input_sentence}") + tokens = input_sentence.split() + res = " ".join([t[:-2] for t in tokens]) + logger.info(f"Removed 'ay' suffix: {res}") + return res + + +tool = FunctionTool.from_defaults( + fn=sync_remove_ay_suffix, async_fn=async_remove_ay_suffix +) +worker = FunctionCallingAgentWorker.from_tools( + [tool], llm=OpenAI(), system_prompt=SYSTEM_PROMPT, max_function_calls=1 +) +agent = worker.as_agent() + +# create agent server +message_queue = KafkaMessageQueue.from_url_params( + host=message_queue_host, + port=int(message_queue_port) if message_queue_port else None, +) + +agent_server = AgentService( + agent=agent, + message_queue=message_queue, + description="Removes the 'ay' suffix from each token from a provided input_sentence.", + service_name="remove_ay_agent", + host=remove_ay_agent_host, + port=int(remove_ay_agent_port) if remove_ay_agent_port else None, +) + +app = agent_server._app + + +# launch +async def launch() -> None: + # register to message queue + start_consuming_callable = await agent_server.register_to_message_queue() + _ = asyncio.create_task(start_consuming_callable()) + + # register to control plane + await agent_server.register_to_control_plane( + control_plane_url=( + f"http://{control_plane_host}:{control_plane_port}" + if control_plane_port + else f"http://{control_plane_host}" + ) + ) + + cfg = uvicorn.Config( + agent_server._app, + host=localhost, + port=agent_server.port, + ) + server = uvicorn.Server(cfg) + await server.serve() + + +if __name__ == "__main__": + asyncio.run(launch()) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/__init__.py b/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/control_plane.py b/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/control_plane.py new file mode 100644 index 00000000..b748c558 --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/control_plane.py @@ -0,0 +1,71 @@ +import asyncio +import uvicorn + +from llama_agents import ControlPlaneServer, PipelineOrchestrator, ServiceComponent +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue +from llama_index.core.query_pipeline import QueryPipeline + +from pig_latin_translation.utils import load_from_env +from pig_latin_translation.agent_services.remove_ay_agent import ( + agent_server as remove_ay_agent_server, +) +from pig_latin_translation.agent_services.correct_first_character_agent import ( + agent_server as correct_first_character_agent_server, +) + +message_queue_host = load_from_env("KAFKA_HOST") +message_queue_port = load_from_env("KAFKA_PORT") +control_plane_host = load_from_env("CONTROL_PLANE_HOST") +control_plane_port = load_from_env("CONTROL_PLANE_PORT") +localhost = load_from_env("LOCALHOST") + + +# setup message queue +message_queue = KafkaMessageQueue.from_url_params( + host=message_queue_host, + port=int(message_queue_port) if message_queue_port else None, +) + +# setup control plane +remove_ay_agent_component = ServiceComponent.from_service_definition( + remove_ay_agent_server +) +correct_first_character_agent_component = ServiceComponent.from_service_definition( + correct_first_character_agent_server +) + +pipeline = QueryPipeline( + chain=[ + remove_ay_agent_component, + correct_first_character_agent_component, + ] +) + +pipeline_orchestrator = PipelineOrchestrator(pipeline) + +control_plane = ControlPlaneServer( + message_queue=message_queue, + orchestrator=pipeline_orchestrator, + host=control_plane_host, + port=int(control_plane_port) if control_plane_port else None, +) +app = control_plane.app + + +# launch +async def launch() -> None: + # register to message queue and start consuming + start_consuming_callable = await control_plane.register_to_message_queue() + _ = asyncio.create_task(start_consuming_callable()) + + cfg = uvicorn.Config( + control_plane.app, + host=localhost, + port=control_plane.port, + ) + server = uvicorn.Server(cfg) + await server.serve() + + +if __name__ == "__main__": + asyncio.run(launch()) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/message_queue.py b/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/message_queue.py new file mode 100644 index 00000000..c634ccb1 --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/core_services/message_queue.py @@ -0,0 +1,10 @@ +from llama_agents.message_queues.apache_kafka import KafkaMessageQueue +from pig_latin_translation.utils import load_from_env + +message_queue_host = load_from_env("KAFKA_HOST") +message_queue_port = load_from_env("KAFKA_PORT") + +message_queue = KafkaMessageQueue.from_url_params( + host=message_queue_host, + port=int(message_queue_port) if message_queue_port else None, +) diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/utils.py b/examples/kafka/pig-latin-translation/pig_latin_translation/utils.py new 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.../kafka/pig-latin-translation/pyproject.toml | 2 +- 3 files changed, 12 insertions(+), 9 deletions(-) diff --git a/examples/kafka/pig-latin-translation/Dockerfile b/examples/kafka/pig-latin-translation/Dockerfile index 5154237c..2caafbbc 100644 --- a/examples/kafka/pig-latin-translation/Dockerfile +++ b/examples/kafka/pig-latin-translation/Dockerfile @@ -44,6 +44,3 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}" # Copy source code COPY ./logging.ini ./logging.ini COPY ./pig_latin_translation ./pig_latin_translation - -# Copy data for Agentic RAG -COPY ./data ./data diff --git a/examples/kafka/pig-latin-translation/docker-compose.yml b/examples/kafka/pig-latin-translation/docker-compose.yml index e831cffe..ab9c76c9 100644 --- a/examples/kafka/pig-latin-translation/docker-compose.yml +++ b/examples/kafka/pig-latin-translation/docker-compose.yml @@ -22,6 +22,12 @@ services: KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1 KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1 KAFKA_LOG_DIRS: "/tmp/kraft-combined-logs" + healthcheck: + test: nc -z localhost 9092 || exit -1 + start_period: 15s + interval: 30s + timeout: 10s + retries: 5 control_plane: image: pig_latin_translation:latest command: sh -c "python -m pig_latin_translation.core_services.control_plane" @@ -33,7 +39,7 @@ services: - ./pig_latin_translation:/app/pig_latin_translation # load local code change to container without the need of rebuild - ./logging.ini:/app/logging.ini depends_on: - rabbitmq: + kafka: condition: service_healthy platform: linux/amd64 build: @@ -57,7 +63,7 @@ services: - ./logging.ini:/app/logging.ini platform: linux/amd64 depends_on: - rabbitmq: + kafka: condition: service_healthy control_plane: condition: service_healthy @@ -81,7 +87,7 @@ services: - ./pig_latin_translation:/app/pig_latin_translation # load local code change to container without the need of rebuild - ./logging.ini:/app/logging.ini depends_on: - rabbitmq: + kafka: condition: service_healthy control_plane: condition: service_healthy @@ -108,7 +114,7 @@ services: - ./task_results:/app/task_results platform: linux/amd64 depends_on: - rabbitmq: + kafka: condition: service_healthy control_plane: condition: service_healthy @@ -122,4 +128,4 @@ services: start_period: 20s timeout: 10s volumes: - rabbitmq: + kafka: diff --git a/examples/kafka/pig-latin-translation/pyproject.toml b/examples/kafka/pig-latin-translation/pyproject.toml index 639d3d0e..98019d2b 100644 --- a/examples/kafka/pig-latin-translation/pyproject.toml +++ b/examples/kafka/pig-latin-translation/pyproject.toml @@ -6,7 +6,7 @@ build-backend = "poetry.core.masonry.api" name = "pig-latin-translation" version = "0.1.0" description = "" -authors = ["Your Name "] +authors = ["Andrei Fajardo "] readme = "README.md" [tool.poetry.dependencies] From b89cb91cc613f5950242efdc11f0ab4a39c5fa97 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 21:58:33 -0400 Subject: [PATCH 22/29] wip --- .../kafka/pig-latin-translation/Dockerfile | 3 + .../pig-latin-translation/docker-compose.yml | 11 ++ .../kafka/pig-latin-translation/poetry.lock | 101 +++++++++++++++--- .../pig-latin-translation/pyproject.toml | 2 +- 4 files changed, 104 insertions(+), 13 deletions(-) diff --git a/examples/kafka/pig-latin-translation/Dockerfile b/examples/kafka/pig-latin-translation/Dockerfile index 2caafbbc..a65573e9 100644 --- a/examples/kafka/pig-latin-translation/Dockerfile +++ b/examples/kafka/pig-latin-translation/Dockerfile @@ -21,6 +21,9 @@ ENV POETRY_VIRTUALENVS_CREATE=true # Install dependencies COPY ./poetry.lock ./pyproject.toml ./ +RUN mkdir -p -m 0600 ~/.ssh && ssh-keyscan github.com >> ~/.ssh/known_hosts +RUN --mount=type=secret,id=id_ed25519,dst=/root/.ssh/id_ed25519 poetry install --no-cache --no-root -vvv + RUN poetry install --no-cache --no-root FROM --platform=linux/amd64 python:3.10-slim as runtime diff --git a/examples/kafka/pig-latin-translation/docker-compose.yml b/examples/kafka/pig-latin-translation/docker-compose.yml 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"1bed39cfda1ba33fe7cbdbc398302af1806492f5" + [[package]] name = "llama-index-core" version = "0.10.56" @@ -2196,4 +2273,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "a6dd4d004dceb9338269cb300d01e889085ab6dc42aa10dc4b6880d9bc03db73" +content-hash = "caf6d8ee7ced609810dfdc862e5752684153b7e41c8413971bb0418d8525779d" diff --git a/examples/kafka/pig-latin-translation/pyproject.toml b/examples/kafka/pig-latin-translation/pyproject.toml index 98019d2b..97ef6ffd 100644 --- a/examples/kafka/pig-latin-translation/pyproject.toml +++ b/examples/kafka/pig-latin-translation/pyproject.toml @@ -12,5 +12,5 @@ readme = "README.md" [tool.poetry.dependencies] python = "^3.10" uvicorn = "^0.30.3" -llama-agents = {version = "^0.0.11", extras = ["kafka"]} +llama-agents = {git = "git@github.com:run-llama/llama-agents.git", rev = "nerdai-kafka", extras = ["kafka"]} llama-index-llms-openai = "^0.1.26" From 2017ba7fcb85dd7ece9741044d75cc466c44f938 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 22:57:10 -0400 Subject: [PATCH 23/29] working docker example --- examples/kafka/README.md | 119 ++++++++++++++++++ .../pig_latin_translation/local_launcher.py | 26 ++++ .../kafka/pig-latin-translation/poetry.lock | 18 ++- .../pig-latin-translation/pyproject.toml | 1 + .../scripts/simulation.py | 44 +++++++ .../pig-latin-translation/template.env.docker | 12 ++ .../pig-latin-translation/template.env.local | 12 ++ 7 files changed, 231 insertions(+), 1 deletion(-) create mode 100644 examples/kafka/pig-latin-translation/pig_latin_translation/local_launcher.py create mode 100644 examples/kafka/pig-latin-translation/scripts/simulation.py create mode 100644 examples/kafka/pig-latin-translation/template.env.docker create mode 100644 examples/kafka/pig-latin-translation/template.env.local diff --git a/examples/kafka/README.md b/examples/kafka/README.md index 61af98cc..c3b0e8fe 100644 --- a/examples/kafka/README.md +++ b/examples/kafka/README.md @@ -49,3 +49,122 @@ The script above will build a simple multi-agent app, connect it to the Kafka message queue, and subsequently send the specified task. ### Example App: Pig-Latin Translator + +In this example, we build a multi-agent app for translating simple Pig-Latin, +where when given a sentence, all words in the sentence are modified with the +following two steps: + +1. the first letter is moved to the end of the word +2. the suffix "ay" is added to the end of the word + +For example: "hi how are you" becomes "eyhay owhay siay tiay oinggay" in simple +Pig-Latin. + +The multi-agent system translate's simple Pig-Latin text by reversing the +previously mentioned two steps. It does so by using two agents that work in +sequence: `remove_ay_agent` and `correct_first_character_agent`. + +#### Launching Without Docker + +As with running our example simple scripts above, we need to standup our +Kafka node manually: + +```sh +docker run -p 9092:9092 apache/kafka:3.7.1 +``` + +Next, in order to launch this multi-agent system, we first need to set the +required environment variables. To do that fill in the provided +`template.env.local` file found in the `pig-latin-translation/` folder. After filling +in the file rename it to `.env.local` (i.e., remove "template" from the name) +and the run the commands that follow. + +```sh +# set environment variables +cd pig-latin-translation +set -a && source .env.local + +# activate the project virtual env +poetry shell && poetry install +``` + +Finally to launch the example multi-agent app: + +```sh +python pig_lating_translation/local_launcher.py +``` + +Once launched, we can send tasks to our multi-agent system using the +`LlamaAgentsClient` (note: the code below introduce static delay to handle +asynchronous call for quick test purpose only): + +```python +from llama_agents import LlamaAgentsClient +import time + +client = LlamaAgentsClient("http://0.0.0.0:8001") +task_id = client.create_task("lamaindexlay siay hetay estbay") +time.sleep(10) +task_result = client.get_task_result(task_id) +print(task_result.result) +``` + +#### Launching With Docker + +_Prerequisites_: Must have docker installed. (See +[here](https://docs.docker.com/get-docker/) for how to install Docker Desktop +which comes with `docker-compose`.) + +**NOTE:** In this example, we don't need to run the Kafka server manually. So you +can go ahead and shutdown the Kafka docker container that we had running in +previous launch if you haven't yet done so. The Kafka server is bundled within +the multi-agent deployment defined in the `docker-compose.yaml` file. + +To Launch with Docker, this example makes use of `docker-compose` that will take +care of launching the individual services (and building a default bridge network +so that the services/containers can communicate with one another by name.). + +Before building the docker image and launching the services (as with the case +for launching without Docker), we first need to set the required environment +variables. Fill in the values in the `template.env.docker` file and after doing so rename +the file to `.env.docker`. Note there are some variables there that we recommend +not modifying as they are used to the service definitions establisehed in the +`docker_compose.yml`. + +This example is provided without a `poetry.lock` file as recommended in the +[poetry documentation for library developers](https://python-poetry.org/docs/basic-usage/#as-a-library-developer). +Before running docker-compose the first time, we must create the `poetry.lock` +file. If you are coming from the previous section where we Launched Without +Docker, then you have obtained the lock file after running `poetry install`. +If not, then use the command below + +```sh +# while in pig-latin-translation/ +poetry install +``` + +To launch the services we now use the `docker-compose` command line tool. + +```sh +docker-compose up --build +``` + +This command will start the servers in sequence: first the Kafka service, +then the control plane, followed by the agent services and the human consumer +service. This sequencing is required since the later services depend must register +to the message queue and control plane (and they need to be up and running before +being able to do so). + +Once all the services are up and running, we can send tasks to our multi-agent +system: + +```python +from llama_agents import LlamaAgentsClient +import time + +client = LlamaAgentsClient("http://0.0.0.0:8001") +task_id = client.create_task("lamaindexlay siay hetay estbay") +time.sleep(10) +task_result = client.get_task_result(task_id) +print(task_result.result) +``` diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/local_launcher.py b/examples/kafka/pig-latin-translation/pig_latin_translation/local_launcher.py new file mode 100644 index 00000000..4abb6e9d --- /dev/null +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/local_launcher.py @@ -0,0 +1,26 @@ +from llama_agents import ServerLauncher + +from pig_latin_translation.core_services.message_queue import message_queue +from pig_latin_translation.core_services.control_plane import control_plane +from pig_latin_translation.agent_services.remove_ay_agent import ( + agent_server as remove_ay_agent_server, +) +from pig_latin_translation.agent_services.correct_first_character_agent import ( + agent_server as correct_first_character_agent_server, +) +from pig_latin_translation.additional_services.human_consumer import ( + human_consumer_server, +) + + +# launch it +launcher = ServerLauncher( + [remove_ay_agent_server, correct_first_character_agent_server], + control_plane, + message_queue, + additional_consumers=[human_consumer_server.as_consumer()], +) + + +if __name__ == "__main__": + launcher.launch_servers() diff --git a/examples/kafka/pig-latin-translation/poetry.lock b/examples/kafka/pig-latin-translation/poetry.lock index 334c6f20..c5a3e763 100644 --- a/examples/kafka/pig-latin-translation/poetry.lock +++ b/examples/kafka/pig-latin-translation/poetry.lock @@ -800,6 +800,22 @@ url = "git@github.com:run-llama/llama-agents.git" reference = "nerdai-kafka" resolved_reference = "1bed39cfda1ba33fe7cbdbc398302af1806492f5" +[[package]] +name = "llama-index-agent-openai" +version = "0.2.9" +description = "llama-index agent openai integration" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "llama_index_agent_openai-0.2.9-py3-none-any.whl", hash = "sha256:d7f0fd4c87124781acd783be603871f8808b1a3969e876a9c96e2ed0844d46ac"}, + {file = "llama_index_agent_openai-0.2.9.tar.gz", hash = "sha256:debe86da6d9d983db32b445ddca7c798ac140fe59573bafded73595b3995f3d5"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.41,<0.11.0" +llama-index-llms-openai = ">=0.1.5,<0.2.0" +openai = ">=1.14.0" + [[package]] name = "llama-index-core" version = "0.10.56" @@ -2273,4 +2289,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "caf6d8ee7ced609810dfdc862e5752684153b7e41c8413971bb0418d8525779d" +content-hash = "2f3c74a9baab2f23d95c81a976f431c3276d7b3d5e60b6f1c7364ea979fd40db" diff --git a/examples/kafka/pig-latin-translation/pyproject.toml b/examples/kafka/pig-latin-translation/pyproject.toml index 97ef6ffd..92cad6c2 100644 --- a/examples/kafka/pig-latin-translation/pyproject.toml +++ b/examples/kafka/pig-latin-translation/pyproject.toml @@ -14,3 +14,4 @@ python = "^3.10" uvicorn = "^0.30.3" llama-agents = {git = "git@github.com:run-llama/llama-agents.git", rev = "nerdai-kafka", extras = ["kafka"]} llama-index-llms-openai = "^0.1.26" +llama-index-agent-openai = "^0.2.9" diff --git a/examples/kafka/pig-latin-translation/scripts/simulation.py b/examples/kafka/pig-latin-translation/scripts/simulation.py new file mode 100644 index 00000000..fcc29a21 --- /dev/null +++ b/examples/kafka/pig-latin-translation/scripts/simulation.py @@ -0,0 +1,44 @@ +import asyncio +import numpy as np +import random + +from llama_agents import LlamaAgentsClient +from llama_index.llms.openai import OpenAI +from llama_index.core.llms import LLM + + +def pig_latin(text: str) -> str: + tokens = text.lower().split() + tmp = [] + for token in tokens: + token = token[1:] + token[0] + "ay" + tmp.append(token) + return " ".join(tmp) + + +async def send_new_task(client: LlamaAgentsClient, llm: LLM) -> None: + seed = random.random() + num_tasks = np.random.poisson(2) + for _ in range(num_tasks): + response = await llm.acomplete( + f"({seed}) Provide a 3 to 5 word phrase. Don't include any punctuation." + ) + task = pig_latin(response.text) + print(f"text: {response.text}, task: {task}") + client.create_task(task) + + +async def main() -> None: + client = LlamaAgentsClient("http://0.0.0.0:8001") + llm = OpenAI("gpt-4o", temperature=1) + try: + while True: + interarrival_time = np.random.exponential(3) + await asyncio.sleep(interarrival_time) + await send_new_task(client, llm) + except KeyboardInterrupt: + print("Shutting down.") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/kafka/pig-latin-translation/template.env.docker b/examples/kafka/pig-latin-translation/template.env.docker new file mode 100644 index 00000000..6cfe44cd --- /dev/null +++ b/examples/kafka/pig-latin-translation/template.env.docker @@ -0,0 +1,12 @@ +KAFKA_HOST="kafka" # don't modify +KAFKA_PORT=19092 +CONTROL_PLANE_HOST="control_plane" # don't modify +CONTROL_PLANE_PORT=8001 +AY_AGENT_HOST="ay_agent" # don't modify +AY_AGENT_PORT=8002 +FIRST_CHAR_AGENT_HOST= "first_char_agent" # don't modify +FIRST_CHAR_AGENT_PORT=8003 +HUMAN_CONSUMER_HOST="human_consumer" # don't modify +HUMAN_CONSUMER_PORT=8004 +LOCALHOST="0.0.0.0" +OPENAI_API_KEY= diff --git a/examples/kafka/pig-latin-translation/template.env.local b/examples/kafka/pig-latin-translation/template.env.local new file mode 100644 index 00000000..3b08bb47 --- /dev/null +++ b/examples/kafka/pig-latin-translation/template.env.local @@ -0,0 +1,12 @@ +KAFKA_HOST="localhost" # don't modify +KAFKA_PORT=9092 +CONTROL_PLANE_HOST="0.0.0.0" # don't modify +CONTROL_PLANE_PORT=8001 +AY_AGENT_HOST="0.0.0.0" # don't modify +AY_AGENT_PORT=8002 +FIRST_CHAR_AGENT_HOST="0.0.0.0" # don't modify +FIRST_CHAR_AGENT_PORT=8003 +HUMAN_CONSUMER_HOST="0.0.0.0" # don't modify +HUMAN_CONSUMER_PORT=8004 +LOCALHOST="0.0.0.0" +OPENAI_API_KEY= From dc7103820633fc5fc2b28285b6d1952243e5071d Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 22:57:41 -0400 Subject: [PATCH 24/29] nit --- examples/kafka/pig-latin-translation/scripts/simulation.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/examples/kafka/pig-latin-translation/scripts/simulation.py b/examples/kafka/pig-latin-translation/scripts/simulation.py index fcc29a21..d043bfaf 100644 --- a/examples/kafka/pig-latin-translation/scripts/simulation.py +++ b/examples/kafka/pig-latin-translation/scripts/simulation.py @@ -1,3 +1,5 @@ +"""Module for sending simulated tasks to pig-latin translation system.""" + import asyncio import numpy as np import random From 678c6f63d0c71950417850c74ccaa287e7148103 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 22:59:36 -0400 Subject: [PATCH 25/29] update pyproject --- .../kafka/pig-latin-translation/poetry.lock | 2292 ----------------- .../pig-latin-translation/pyproject.toml | 2 +- 2 files changed, 1 insertion(+), 2293 deletions(-) delete mode 100644 examples/kafka/pig-latin-translation/poetry.lock diff --git a/examples/kafka/pig-latin-translation/poetry.lock b/examples/kafka/pig-latin-translation/poetry.lock deleted file mode 100644 index c5a3e763..00000000 --- a/examples/kafka/pig-latin-translation/poetry.lock +++ /dev/null @@ -1,2292 +0,0 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. - 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-[package.dependencies] -idna = ">=2.0" -multidict = ">=4.0" - -[metadata] -lock-version = "2.0" -python-versions = "^3.10" -content-hash = "2f3c74a9baab2f23d95c81a976f431c3276d7b3d5e60b6f1c7364ea979fd40db" diff --git a/examples/kafka/pig-latin-translation/pyproject.toml b/examples/kafka/pig-latin-translation/pyproject.toml index 92cad6c2..d4239330 100644 --- a/examples/kafka/pig-latin-translation/pyproject.toml +++ b/examples/kafka/pig-latin-translation/pyproject.toml @@ -12,6 +12,6 @@ readme = "README.md" [tool.poetry.dependencies] python = "^3.10" uvicorn = "^0.30.3" -llama-agents = {git = "git@github.com:run-llama/llama-agents.git", rev = "nerdai-kafka", extras = ["kafka"]} llama-index-llms-openai = "^0.1.26" llama-index-agent-openai = "^0.2.9" +llama-agents = {version = "^0.0.11", extras = ["kafka"]} From 083b926ad95fe4c94ccd9e21a090392aec2eebf9 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 23:06:11 -0400 Subject: [PATCH 26/29] docs --- .../kafka/pig-latin-translation/README.md | 1 + llama_agents/message_queues/apache_kafka.py | 34 ++++++++++++++++++- 2 files changed, 34 insertions(+), 1 deletion(-) diff --git a/examples/kafka/pig-latin-translation/README.md b/examples/kafka/pig-latin-translation/README.md index e69de29b..96d769fa 100644 --- a/examples/kafka/pig-latin-translation/README.md +++ b/examples/kafka/pig-latin-translation/README.md @@ -0,0 +1 @@ +# Pig-Latin Translation diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index 450b9cb1..f84e325c 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -25,7 +25,25 @@ class KafkaMessageQueue(BaseMessageQueue): - """Apache Kafka integration with aiokafka.""" + """Apache Kafka integration with aiokafka. + + This class implements a traditional message broker using Apache Kafka. + - Topics are created with N partitions + - Consumers are registered to a single group to implement a competing + consumer scheme where only one consumer subscribed to a topic gets the + message + - Default round-robin assignment is used + + Attributes: + url (str): The broker url string to connect to the Kafka server + + Examples: + ```python + from llama_agents.message_queues.apache_kafka import KafkaMessageQueue + + message_queue = KafkaMessageQueue() # uses the default url + ``` + """ url: str = DEFAULT_URL @@ -41,6 +59,15 @@ def from_url_params( host: str, port: Optional[int] = None, ) -> "KafkaMessageQueue": + """Convenience constructor from url params. + + Args: + host (str): host for rabbitmq server + port (Optional[int], optional): port for rabbitmq server. Defaults to None. + + Returns: + KafkaMessageQueue: An Apache Kafka MessageQueue integration. + """ url = f"{host}:{port}" if port else f"{host}" return cls(url=url) @@ -113,6 +140,10 @@ async def deregister_consumer(self, consumer: BaseMessageQueueConsumer) -> Any: pass async def launch_local(self) -> asyncio.Task: + """Launch the message queue locally, in-process. + + Launches a dummy task. + """ return asyncio.create_task(self.processing_loop()) async def launch_server(self) -> None: @@ -162,6 +193,7 @@ async def start_consuming_callable() -> None: if __name__ == "__main__": + # for testing import argparse import sys From c9126e55109372560fc7324e2e799c72ec65de37 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sat, 20 Jul 2024 23:11:16 -0400 Subject: [PATCH 27/29] nit in README --- examples/kafka/README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/examples/kafka/README.md b/examples/kafka/README.md index c3b0e8fe..39e79479 100644 --- a/examples/kafka/README.md +++ b/examples/kafka/README.md @@ -3,7 +3,9 @@ The examples contained in this subdirectory make use of the Apache Kafka integration within `llama-agents`. -To run these examples, you'll need to have the installed the `kafka` extra: +## Installation + +Simply install `llama-agents` with the `kafka` extra: ```sh # using pip install @@ -13,6 +15,9 @@ pip install llama-agents[kafka] poetry add llama-agents -E "kafka" ``` +An virtual environment with this installation of `llama-agents` is what will +be needed to run the example scripts in `simple-scripts/`. + ## Usage Pattern ```python From c51b6aee61528c96ba54b0e4e28da8f81abc1260 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sun, 21 Jul 2024 00:05:37 -0400 Subject: [PATCH 28/29] cr --- examples/kafka/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/kafka/README.md b/examples/kafka/README.md index 39e79479..7582f8a4 100644 --- a/examples/kafka/README.md +++ b/examples/kafka/README.md @@ -15,7 +15,7 @@ pip install llama-agents[kafka] poetry add llama-agents -E "kafka" ``` -An virtual environment with this installation of `llama-agents` is what will +A virtual environment with this installation of `llama-agents` is what will be needed to run the example scripts in `simple-scripts/`. ## Usage Pattern From 71e15aaf26c3469f15656cca97a560feca16b988 Mon Sep 17 00:00:00 2001 From: Andrei Fajardo Date: Sun, 21 Jul 2024 00:28:09 -0400 Subject: [PATCH 29/29] cr --- examples/kafka/README.md | 8 +++++ .../additional_services/task_result.py | 12 +++++++ llama_agents/message_queues/apache_kafka.py | 34 ++++++++++++++++--- 3 files changed, 49 insertions(+), 5 deletions(-) diff --git a/examples/kafka/README.md b/examples/kafka/README.md index 7582f8a4..a1170b42 100644 --- a/examples/kafka/README.md +++ b/examples/kafka/README.md @@ -69,6 +69,14 @@ The multi-agent system translate's simple Pig-Latin text by reversing the previously mentioned two steps. It does so by using two agents that work in sequence: `remove_ay_agent` and `correct_first_character_agent`. +This multi-agent system also features a `TaskResultService` that is a consumer +of messages containing the final `TaskResult` data. That is, when a task is +completed, the control plane sends a message containing the results of the task +to a consumer that subscribes to the message type "human". This is precisely +what `TaskResultService` is, and it consumes these messages by appending the +results to a `task_results.jsonl` file that is stored in a `task_results` folder +that gets created in the directory from which the service was launched. + #### Launching Without Docker As with running our example simple scripts above, we need to standup our diff --git a/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py index 78872f30..81a226b6 100644 --- a/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py +++ b/examples/kafka/pig-latin-translation/pig_latin_translation/additional_services/task_result.py @@ -18,6 +18,18 @@ class TaskResultService: + """TaskResultService. + + This is a consumer service for the Task Result of the multi-agent system. + When a task is completed, the control plane sends a message containing the + TaskResult to a consumer of message type "human". + + This TaskResultService accepts those messages and appends the TaskResult + JSON object to the `task_results.jsonl` that is stored in the folder + `task_results` that gets created in the directory from which the service + is launched. + """ + def __init__( self, message_queue: BaseMessageQueue, diff --git a/llama_agents/message_queues/apache_kafka.py b/llama_agents/message_queues/apache_kafka.py index f84e325c..fe55ece9 100644 --- a/llama_agents/message_queues/apache_kafka.py +++ b/llama_agents/message_queues/apache_kafka.py @@ -85,8 +85,14 @@ def _create_new_topic( TODO: convert to aiokafka once this it is resolved there. """ - from kafka.admin import KafkaAdminClient, NewTopic - from kafka.errors import TopicAlreadyExistsError + try: + from kafka.admin import KafkaAdminClient, NewTopic + from kafka.errors import TopicAlreadyExistsError + except ImportError: + raise ImportError( + "kafka-python-ng is not installed. " + "Please install it using `pip install kafka-python-ng`." + ) admin_client = KafkaAdminClient(bootstrap_servers=self.url) try: @@ -105,7 +111,13 @@ def _create_new_topic( async def _publish(self, message: QueueMessage) -> Any: """Publish message to the queue.""" - from aiokafka import AIOKafkaProducer + try: + from aiokafka import AIOKafkaProducer + except ImportError: + raise ImportError( + "aiokafka is not installed. " + "Please install it using `pip install aiokafka`." + ) producer = AIOKafkaProducer(bootstrap_servers=self.url) await producer.start() @@ -126,7 +138,13 @@ async def cleanup_local( TODO: convert to aiokafka once this it is resolved there. """ - from kafka.admin import KafkaAdminClient + try: + from kafka.admin import KafkaAdminClient + except ImportError: + raise ImportError( + "aiokafka is not installed. " + "Please install it using `pip install aiokafka`." + ) admin_client = KafkaAdminClient(bootstrap_servers=self.url) active_topics = admin_client.list_topics() @@ -157,7 +175,13 @@ async def register_consumer( self, consumer: BaseMessageQueueConsumer ) -> Callable[..., Coroutine[Any, Any, None]]: """Register a new consumer.""" - from aiokafka import AIOKafkaConsumer + try: + from aiokafka import AIOKafkaConsumer + except ImportError: + raise ImportError( + "aiokafka is not installed. " + "Please install it using `pip install aiokafka`." + ) # register topic self._create_new_topic(consumer.message_type)