■ FileSystemBlobLoader 클래스의 생성자에서 path/glob/show_progress 인자를 사용해 FileSystemBlobLoader 객체를 만드는 방법을 보여준다.
▶ main.py
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from langchain_core.document_loaders import BaseBlobParser from langchain_core.document_loaders import Blob from typing import Iterator from langchain_core.documents import Document from langchain_community.document_loaders.blob_loaders import FileSystemBlobLoader class CustomBlobParser(BaseBlobParser): """A simple parser that creates a document from each line.""" def lazy_parse(self, blob : Blob) -> Iterator[Document]: """Parse a blob into a document line by line.""" lineNumber = 0 with blob.as_bytes_io() as bufferedReader: for line in bufferedReader: lineNumber += 1 yield Document( page_content = line.strip(), metadata = {"line_number" : lineNumber, "source" : blob.source} ) fileSystemBlobLoader = FileSystemBlobLoader(path = ".", glob = "*.txt", show_progress = True) customBlobParser = CustomBlobParser() for blob in fileSystemBlobLoader.yield_blobs(): for document in customBlobParser.lazy_parse(blob): print(document) break |
▶ requirements.txt
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aiohappyeyeballs==2.4.3 aiohttp==3.11.7 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.6.2.post1 attrs==24.2.0 certifi==2024.8.30 charset-normalizer==3.4.0 colorama==0.4.6 dataclasses-json==0.6.7 frozenlist==1.5.0 greenlet==3.1.1 h11==0.14.0 httpcore==1.0.7 httpx==0.27.2 httpx-sse==0.4.0 idna==3.10 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.8 langchain-community==0.3.8 langchain-core==0.3.21 langchain-text-splitters==0.3.2 langsmith==0.1.145 marshmallow==3.23.1 multidict==6.1.0 mypy-extensions==1.0.0 numpy==1.26.4 orjson==3.10.12 packaging==24.2 propcache==0.2.0 pydantic==2.10.1 pydantic-settings==2.6.1 pydantic_core==2.27.1 python-dotenv==1.0.1 PyYAML==6.0.2 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 SQLAlchemy==2.0.35 tenacity==9.0.0 tqdm==4.67.0 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.3 yarl==1.18.0 |
※ pip install langchain langchain-community tqdm 명령을 실행했다.