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83 lines
3.4 KiB
Python
83 lines
3.4 KiB
Python
# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
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#
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# SPDX-License-Identifier: Apache-2.0
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from pathlib import Path
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import pytest
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from haystack.components.converters.image.file_to_document import ImageFileToDocument
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from haystack.core.serialization import component_from_dict, component_to_dict
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from haystack.dataclasses import ByteStream
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class TestImageFileToDocument:
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def test_to_dict(self) -> None:
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converter = ImageFileToDocument()
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assert component_to_dict(converter, "converter") == {
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"init_parameters": {"store_full_path": False},
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"type": "haystack.components.converters.image.file_to_document.ImageFileToDocument",
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}
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def test_to_dict_not_defaults(self) -> None:
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converter = ImageFileToDocument(store_full_path=True)
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assert component_to_dict(converter, "converter") == {
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"init_parameters": {"store_full_path": True},
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"type": "haystack.components.converters.image.file_to_document.ImageFileToDocument",
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}
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def test_from_dict(self) -> None:
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data = {
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"init_parameters": {"store_full_path": False},
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"type": "haystack.components.converters.image.file_to_document.ImageFileToDocument",
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}
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converter = component_from_dict(ImageFileToDocument, data, "name")
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assert component_to_dict(converter, "converter") == data
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@pytest.mark.parametrize(
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("image_path", "mime_type"),
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[
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("./test/test_files/images/haystack-logo.png", "image/png"),
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("./test/test_files/images/apple.jpg", "image/jpeg"),
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],
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)
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def test_run_with_valid_sources(self, image_path: str, mime_type: str) -> None:
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converter = ImageFileToDocument(store_full_path=True)
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results = converter.run(sources=[image_path], meta={"source": "test_source"})
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assert len(results["documents"]) == 1
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assert results["documents"][0].content is None
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assert results["documents"][0].meta == {"source": "test_source", "file_path": image_path}
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def test_run_with_no_sources(self) -> None:
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converter = ImageFileToDocument()
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results = converter.run(sources=[])
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assert len(results["documents"]) == 0
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assert results == {"documents": []}
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def test_run_with_invalid_source_type(self, caplog) -> None:
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converter = ImageFileToDocument()
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converter.run(sources=[123]) # Invalid source type
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assert "Could not read" in caplog.text
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def test_run_with_non_existent_file(self, caplog) -> None:
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converter = ImageFileToDocument()
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converter.run(sources=["./non_existent_file.png"])
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assert "Could not read" in caplog.text
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assert "No such file or directory:" in caplog.text
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@pytest.mark.parametrize(
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("image_path", "mime_type"),
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[
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("./test/test_files/images/haystack-logo.png", "image/png"),
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("./test/test_files/images/apple.jpg", "image/jpeg"),
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],
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)
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def test_run_with_bytestream_sources(self, image_path: str, mime_type: str) -> None:
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byte_stream = ByteStream.from_file_path(Path(image_path), mime_type=mime_type, meta={"file_path": image_path})
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converter = ImageFileToDocument(store_full_path=True)
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results = converter.run(sources=[byte_stream])
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assert len(results["documents"]) == 1
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assert results["documents"][0].content is None
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assert results["documents"][0].meta == {"file_path": image_path}
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