169fe96332
Signed-off-by: Tian, Feng <feng.tian@intel.com> Signed-off-by: chensuyue <suyue.chen@intel.com>
87 lines
3.3 KiB
Python
87 lines
3.3 KiB
Python
# Copyright (c) 2024 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import asyncio
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import os
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from comps import ChatQnAGateway, MicroService, ServiceOrchestrator, ServiceType
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MEGA_SERVICE_HOST_IP = os.getenv("MEGA_SERVICE_HOST_IP", "0.0.0.0")
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MEGA_SERVICE_PORT = os.getenv("MEGA_SERVICE_PORT", 8888)
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EMBEDDING_SERVICE_HOST_IP = os.getenv("EMBEDDING_SERVICE_HOST_IP", "0.0.0.0")
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EMBEDDING_SERVICE_PORT = os.getenv("EMBEDDING_SERVICE_PORT", 6000)
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RETRIEVER_SERVICE_HOST_IP = os.getenv("RETRIEVER_SERVICE_HOST_IP", "0.0.0.0")
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RETRIEVER_SERVICE_PORT = os.getenv("RETRIEVER_SERVICE_PORT", 7000)
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RERANK_SERVICE_HOST_IP = os.getenv("RERANK_SERVICE_HOST_IP", "0.0.0.0")
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RERANK_SERVICE_PORT = os.getenv("RERANK_SERVICE_PORT", 8000)
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LLM_SERVICE_HOST_IP = os.getenv("LLM_SERVICE_HOST_IP", "0.0.0.0")
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LLM_SERVICE_PORT = os.getenv("LLM_SERVICE_PORT", 9000)
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class ChatQnAService:
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def __init__(self, host="0.0.0.0", port=8000):
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self.host = host
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self.port = port
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self.megaservice = ServiceOrchestrator()
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def add_remote_service(self):
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embedding = MicroService(
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name="embedding",
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host=EMBEDDING_SERVICE_HOST_IP,
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port=EMBEDDING_SERVICE_PORT,
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endpoint="/v1/embeddings",
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use_remote_service=True,
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service_type=ServiceType.EMBEDDING,
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)
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retriever = MicroService(
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name="retriever",
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host=RETRIEVER_SERVICE_HOST_IP,
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port=RETRIEVER_SERVICE_PORT,
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endpoint="/v1/retrieval",
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use_remote_service=True,
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service_type=ServiceType.RETRIEVER,
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)
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rerank = MicroService(
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name="rerank",
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host=RERANK_SERVICE_HOST_IP,
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port=RERANK_SERVICE_PORT,
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endpoint="/v1/reranking",
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use_remote_service=True,
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service_type=ServiceType.RERANK,
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)
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llm = MicroService(
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name="llm",
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host=LLM_SERVICE_HOST_IP,
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port=LLM_SERVICE_PORT,
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endpoint="/v1/chat/completions",
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use_remote_service=True,
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service_type=ServiceType.LLM,
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)
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self.megaservice.add(embedding).add(retriever).add(rerank).add(llm)
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self.megaservice.flow_to(embedding, retriever)
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self.megaservice.flow_to(retriever, rerank)
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self.megaservice.flow_to(rerank, llm)
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self.gateway = ChatQnAGateway(megaservice=self.megaservice, host="0.0.0.0", port=self.port)
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async def schedule(self):
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await self.megaservice.schedule(initial_inputs={"text": "What is the revenue of Nike in 2023?"})
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result_dict = self.megaservice.result_dict
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print(result_dict)
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if __name__ == "__main__":
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chatqna = ChatQnAService(host=MEGA_SERVICE_HOST_IP, port=MEGA_SERVICE_PORT)
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chatqna.add_remote_service()
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asyncio.run(chatqna.schedule())
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