haystack/test/test_file_converter.py

from pathlib import Path
import os

import pytest

from haystack.nodes import (
    MarkdownConverter,
    DocxToTextConverter,
    PDFToTextConverter,
    PDFToTextOCRConverter,
    TikaConverter,
    AzureConverter,
    ParsrConverter,
)

from .conftest import SAMPLES_PATH


@pytest.mark.tika
@pytest.mark.parametrize(
    # "Converter", [PDFToTextConverter, TikaConverter, PDFToTextOCRConverter]
    "Converter",
    [PDFToTextOCRConverter],
)
def test_convert(Converter):
    converter = Converter()
    document = converter.convert(file_path=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf")[0]
    pages = document["content"].split("\f")
    assert len(pages) == 4  # the sample PDF file has four pages.
    assert pages[0] != ""  # the page 1 of PDF contains text.
    assert pages[2] == ""  # the page 3 of PDF file is empty.
    # assert text is retained from the document.
    # As whitespace can differ (\n," ", etc.), we standardize all to simple whitespace
    page_standard_whitespace = " ".join(pages[0].split())
    assert "Adobe Systems made the PDF specification available free of charge in 1993." in page_standard_whitespace


@pytest.mark.tika
@pytest.mark.parametrize("Converter", [PDFToTextConverter, TikaConverter])
def test_table_removal(Converter):
    converter = Converter(remove_numeric_tables=True)
    document = converter.convert(file_path=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf")[0]
    pages = document["content"].split("\f")
    # assert numeric rows are removed from the table.
    assert "324" not in pages[0]
    assert "54x growth" not in pages[0]


@pytest.mark.tika
@pytest.mark.parametrize("Converter", [PDFToTextConverter, TikaConverter])
def test_language_validation(Converter, caplog):
    converter = Converter(valid_languages=["en"])
    converter.convert(file_path=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf")
    assert "samples/pdf/sample_pdf_1.pdf is not one of ['en']." not in caplog.text

    converter = Converter(valid_languages=["de"])
    converter.convert(file_path=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf")
    assert "samples/pdf/sample_pdf_1.pdf is not one of ['de']." in caplog.text


def test_docx_converter():
    converter = DocxToTextConverter()
    document = converter.convert(file_path=SAMPLES_PATH / "docx" / "sample_docx.docx")[0]
    assert document["content"].startswith("Sample Docx File")


def test_markdown_converter():
    converter = MarkdownConverter()
    document = converter.convert(file_path=SAMPLES_PATH / "markdown" / "sample.md")[0]
    assert document["content"].startswith("What to build with Haystack")


def test_azure_converter():
    # Check if Form Recognizer endpoint and credential key in environment variables
    if "AZURE_FORMRECOGNIZER_ENDPOINT" in os.environ and "AZURE_FORMRECOGNIZER_KEY" in os.environ:
        converter = AzureConverter(
            endpoint=os.environ["AZURE_FORMRECOGNIZER_ENDPOINT"],
            credential_key=os.environ["AZURE_FORMRECOGNIZER_KEY"],
            save_json=True,
        )

        docs = converter.convert(file_path=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf")
        assert len(docs) == 2
        assert docs[0]["content_type"] == "table"
        assert len(docs[0]["content"]) == 5  # number of rows
        assert len(docs[0]["content"][0]) == 5  # number of columns, Form Recognizer assumes there are 5 columns
        assert docs[0]["content"][0] == ["", "Column 1", "", "Column 2", "Column 3"]
        assert docs[0]["content"][4] == ["D", "$54.35", "", "$6345.", ""]
        assert (
            docs[0]["meta"]["preceding_context"] == "specification. These proprietary technologies are not "
            "standardized and their\nspecification is published only on "
            "Adobe's website. Many of them are also not\nsupported by "
            "popular third-party implementations of PDF."
        )
        assert docs[0]["meta"]["following_context"] == ""

        assert docs[1]["content_type"] == "text"
        assert docs[1]["content"].startswith("A sample PDF file")


def test_parsr_converter():
    converter = ParsrConverter()

    docs = converter.convert(file_path=str((SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf").absolute()))
    assert len(docs) == 2
    assert docs[0]["content_type"] == "table"
    assert len(docs[0]["content"]) == 5  # number of rows
    assert len(docs[0]["content"][0]) == 4  # number of columns
    assert docs[0]["content"][0] == ["", "Column 1", "Column 2", "Column 3"]
    assert docs[0]["content"][4] == ["D", "$54.35", "$6345.", ""]
    assert (
        docs[0]["meta"]["preceding_context"] == "specification. These proprietary technologies are not "
        "standardized and their\nspecification is published only on "
        "Adobe's website. Many of them are also not\nsupported by popular "
        "third-party implementations of PDF."
    )
    assert docs[0]["meta"]["following_context"] == ""

    assert docs[1]["content_type"] == "text"
    assert docs[1]["content"].startswith("A sample PDF file")
    assert docs[1]["content"].endswith("Page 4 of Sample PDF\n… the page 3 is empty.")