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https://github.com/paperless-ngx/paperless-ngx.git
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Feature: Remote OCR (Azure AI) (#10320)
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import uuid
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from pathlib import Path
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from unittest import mock
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from django.test import TestCase
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from django.test import override_settings
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from documents.tests.utils import DirectoriesMixin
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from documents.tests.utils import FileSystemAssertsMixin
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from paperless_remote.parsers import RemoteDocumentParser
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from paperless_remote.signals import get_parser
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class TestParser(DirectoriesMixin, FileSystemAssertsMixin, TestCase):
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SAMPLE_FILES = Path(__file__).resolve().parent / "samples"
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def assertContainsStrings(self, content: str, strings: list[str]):
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# Asserts that all strings appear in content, in the given order.
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indices = []
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for s in strings:
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if s in content:
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indices.append(content.index(s))
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else:
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self.fail(f"'{s}' is not in '{content}'")
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self.assertListEqual(indices, sorted(indices))
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@mock.patch("paperless_tesseract.parsers.run_subprocess")
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@mock.patch("azure.ai.documentintelligence.DocumentIntelligenceClient")
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def test_get_text_with_azure(self, mock_client_cls, mock_subprocess):
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# Arrange mock Azure client
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mock_client = mock.Mock()
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mock_client_cls.return_value = mock_client
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# Simulate poller result and its `.details`
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mock_poller = mock.Mock()
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mock_poller.wait.return_value = None
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mock_poller.details = {"operation_id": "fake-op-id"}
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mock_client.begin_analyze_document.return_value = mock_poller
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mock_poller.result.return_value.content = "This is a test document."
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# Return dummy PDF bytes
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mock_client.get_analyze_result_pdf.return_value = [
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b"%PDF-",
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b"1.7 ",
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b"FAKEPDF",
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]
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# Simulate pdftotext by writing dummy text to sidecar file
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def fake_run(cmd, *args, **kwargs):
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with Path(cmd[-1]).open("w", encoding="utf-8") as f:
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f.write("This is a test document.")
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mock_subprocess.side_effect = fake_run
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with override_settings(
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REMOTE_OCR_ENGINE="azureai",
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REMOTE_OCR_API_KEY="somekey",
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REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
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):
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parser = get_parser(uuid.uuid4())
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parser.parse(
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self.SAMPLE_FILES / "simple-digital.pdf",
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"application/pdf",
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)
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self.assertContainsStrings(
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parser.text.strip(),
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["This is a test document."],
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)
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@mock.patch("azure.ai.documentintelligence.DocumentIntelligenceClient")
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def test_get_text_with_azure_error_logged_and_returns_none(self, mock_client_cls):
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mock_client = mock.Mock()
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mock_client.begin_analyze_document.side_effect = RuntimeError("fail")
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mock_client_cls.return_value = mock_client
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with override_settings(
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REMOTE_OCR_ENGINE="azureai",
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REMOTE_OCR_API_KEY="somekey",
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REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
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):
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parser = get_parser(uuid.uuid4())
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with mock.patch.object(parser.log, "error") as mock_log_error:
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parser.parse(
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self.SAMPLE_FILES / "simple-digital.pdf",
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"application/pdf",
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)
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self.assertIsNone(parser.text)
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mock_client.begin_analyze_document.assert_called_once()
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mock_client.close.assert_called_once()
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mock_log_error.assert_called_once()
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self.assertIn(
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"Azure AI Vision parsing failed",
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mock_log_error.call_args[0][0],
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)
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@override_settings(
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REMOTE_OCR_ENGINE="azureai",
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REMOTE_OCR_API_KEY="key",
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REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
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)
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def test_supported_mime_types_valid_config(self):
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parser = RemoteDocumentParser(uuid.uuid4())
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expected_types = {
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"application/pdf": ".pdf",
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"image/png": ".png",
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"image/jpeg": ".jpg",
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"image/tiff": ".tiff",
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"image/bmp": ".bmp",
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"image/gif": ".gif",
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"image/webp": ".webp",
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}
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self.assertEqual(parser.supported_mime_types(), expected_types)
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def test_supported_mime_types_invalid_config(self):
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parser = get_parser(uuid.uuid4())
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self.assertEqual(parser.supported_mime_types(), {})
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@override_settings(
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REMOTE_OCR_ENGINE=None,
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REMOTE_OCR_API_KEY=None,
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REMOTE_OCR_ENDPOINT=None,
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)
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def test_parse_with_invalid_config(self):
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parser = get_parser(uuid.uuid4())
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parser.parse(self.SAMPLE_FILES / "simple-digital.pdf", "application/pdf")
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self.assertEqual(parser.text, "")
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