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from pathlib import Path | |
from unittest.mock import patch | |
from langchain.schema import Document as LangchainDocument | |
from llama_index.core.node_parser import SimpleNodeParser | |
from kotaemon.base import Document | |
from kotaemon.loaders import ( | |
AutoReader, | |
AzureAIDocumentIntelligenceLoader, | |
DocxReader, | |
HtmlReader, | |
MhtmlReader, | |
UnstructuredReader, | |
) | |
from .conftest import skip_when_unstructured_pdf_not_installed | |
def test_docx_reader(): | |
reader = DocxReader() | |
documents = reader.load_data(Path(__file__).parent / "resources" / "dummy.docx") | |
assert len(documents) | |
def test_html_reader(): | |
reader = HtmlReader() | |
documents = reader.load_data( | |
Path(__file__).parent / "resources" / "html" / "dummy.html" | |
) | |
assert len(documents) | |
def test_pdf_reader(): | |
reader = AutoReader("PDFReader") | |
dirpath = Path(__file__).parent | |
documents = reader.load_data(dirpath / "resources" / "dummy.pdf") | |
# check document reader output | |
assert len(documents) == 1 | |
first_doc = documents[0] | |
assert isinstance(first_doc, Document) | |
assert first_doc.text.lower().replace(" ", "") == "dummypdffile" | |
langchain_doc = first_doc.to_langchain_format() | |
assert isinstance(langchain_doc, LangchainDocument) | |
# test chunking using NodeParser from llama-index | |
node_parser = SimpleNodeParser.from_defaults(chunk_size=100, chunk_overlap=20) | |
nodes = node_parser.get_nodes_from_documents(documents) | |
assert len(nodes) > 0 | |
def test_unstructured_pdf_reader(): | |
reader = UnstructuredReader() | |
dirpath = Path(__file__).parent | |
input_path = dirpath / "resources/dummy.pdf" | |
documents = reader.load_data(input_path) | |
# check document reader output | |
assert len(documents) == 1 | |
first_doc = documents[0] | |
assert isinstance(first_doc, Document) | |
assert first_doc.text.lower().replace(" ", "") == "dummypdffile" | |
# split documents mode | |
documents = reader.load_data(input_path, split_documents=True) | |
# check document reader output | |
assert len(documents) == 1 | |
def test_mhtml_reader(): | |
reader = MhtmlReader() | |
input_path = Path(__file__).parent / "resources" / "dummy.mhtml" | |
docs = reader.load_data(input_path) | |
assert len(docs) == 1 | |
assert docs[0].text.startswith("This is a test") | |
def test_azureai_document_intelligence_reader(mock_client): | |
reader = AzureAIDocumentIntelligenceLoader( | |
endpoint="https://endpoint.com", | |
credential="credential", | |
) | |
docs = reader(Path(__file__).parent / "resources" / "dummy.pdf") | |
assert len(docs) == 1 | |
mock_client.assert_called_once() | |