48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
from pathlib import Path
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from langchain.schema import Document as LangchainDocument
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from llama_index.node_parser import SimpleNodeParser
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from kotaemon.base import Document
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from kotaemon.loaders import AutoReader, UnstructuredReader
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def test_pdf_reader():
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reader = AutoReader("PDFReader")
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dirpath = Path(__file__).parent
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documents = reader.load_data(dirpath / "resources/dummy.pdf")
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# check document reader output
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assert len(documents) == 1
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first_doc = documents[0]
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assert isinstance(first_doc, Document)
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assert first_doc.text.lower().replace(" ", "") == "dummypdffile"
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langchain_doc = first_doc.to_langchain_format()
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assert isinstance(langchain_doc, LangchainDocument)
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# test chunking using NodeParser from llama-index
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node_parser = SimpleNodeParser.from_defaults(chunk_size=100, chunk_overlap=20)
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nodes = node_parser.get_nodes_from_documents(documents)
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assert len(nodes) > 0
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def test_unstructured_pdf_reader():
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reader = UnstructuredReader()
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dirpath = Path(__file__).parent
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input_path = dirpath / "resources/dummy.pdf"
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documents = reader.load_data(input_path)
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# check document reader output
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assert len(documents) == 1
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first_doc = documents[0]
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assert isinstance(first_doc, Document)
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assert first_doc.text.lower().replace(" ", "") == "dummypdffile"
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# split documents mode
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documents = reader.load_data(input_path, split_documents=True)
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# check document reader output
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assert len(documents) == 1
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