■ yield 키워드를 사용해 스트리밍 처리되는 사용자 정의 출력 파서를 만드는 방법을 보여준다.
▶ main.py
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
import asyncio import os from langchain_openai import ChatOpenAI from langchain_core.output_parsers import JsonOutputParser async def getCountryNameGenerator(inputAsyncGenerator): """입력 스트림에서 작동하는 함수이다.""" countryNameSet = set() async for inputDictionary in inputAsyncGenerator: if not isinstance(inputDictionary, dict): continue if "countries" not in inputDictionary: continue countryList = inputDictionary["countries"] if not isinstance(countryList, list): continue for country in countryList: countryName = country.get("name") if not countryName: continue if countryName not in countryNameSet: yield countryName countryNameSet.add(countryName) async def main(): os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125") jsonOutputParser = JsonOutputParser() runnableSequence = chatOpenAI | jsonOutputParser | getCountryNameGenerator requestString = """output a list of the countries france, spain and japan and their populations in JSON format. \ Use a dict with an outer key of "countries" which contains a list of countries. \ Each country should have the key `name` and `population`""" async for responseChunkString in runnableSequence.astream(requestString): print(responseChunkString, end = "|", flush = True) asyncio.run(main()) """ France|Spain|Japan| """ |
▶ requirements.txt
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
annotated-types==0.7.0 anyio==4.4.0 certifi==2024.6.2 charset-normalizer==3.3.2 distro==1.9.0 exceptiongroup==1.2.1 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain-core==0.2.7 langchain-openai==0.1.8 langsmith==0.1.77 openai==1.34.0 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 regex==2024.5.15 requests==2.32.3 sniffio==1.3.1 tenacity==8.4.1 tiktoken==0.7.0 tqdm==4.66.4 typing_extensions==4.12.2 urllib3==2.2.2 |
※ pip install langchain-openai 명령을 실행했다.