■ CSVLoader 클래스에서 CSV 문자열을 문서로 로드하는 방법을 보여준다.
▶ main.py
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import tempfile import os from langchain_community.document_loaders.csv_loader import CSVLoader sourceString = """ "Team" , "Payroll (millions)", "Wins" "Nationals", 81.34 , 98 "Reds" , 82.20 , 97 "Yankees" , 197.96 , 95 "Giants" , 117.62 , 94 """.strip() with tempfile.NamedTemporaryFile(delete = False, mode = "w+") as temporaryFileWrapper: temporaryFileWrapper.write(sourceString) temporaryFileWrapper.flush() csvLoader = CSVLoader(file_path = temporaryFileWrapper.name) documentList = csvLoader.load() for document in documentList: print(document) os.remove(temporaryFileWrapper.file.name) """ page_content='Team: Nationals\n"Payroll (millions)": 81.34\n"Wins": 98' metadata={'source': '/tmp/tmpk46bgw3c', 'row': 0} page_content='Team: Reds\n"Payroll (millions)": 82.20\n"Wins": 97' metadata={'source': '/tmp/tmpk46bgw3c', 'row': 1} page_content='Team: Yankees\n"Payroll (millions)": 197.96\n"Wins": 95' metadata={'source': '/tmp/tmpk46bgw3c', 'row': 2} page_content='Team: Giants\n"Payroll (millions)": 117.62\n"Wins": 94' metadata={'source': '/tmp/tmpk46bgw3c', 'row': 3} """ |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 dataclasses-json==0.6.7 frozenlist==1.4.1 greenlet==3.0.3 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.6 langchain-community==0.2.6 langchain-core==0.2.10 langchain-text-splitters==0.2.2 langsmith==0.1.82 marshmallow==3.21.3 multidict==6.0.5 mypy-extensions==1.0.0 numpy==1.26.4 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 requests==2.32.3 SQLAlchemy==2.0.31 tenacity==8.4.2 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install langchain-community 명령을 실행했다.