1114 lines
47 KiB
Python
1114 lines
47 KiB
Python
"""Tests for document converters."""
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import tempfile
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from pathlib import Path
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from unittest.mock import AsyncMock, Mock, patch
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import httpx
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import pytest
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from docling_core.types.doc.document import DoclingDocument
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from haiku.rag.config import AppConfig
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from haiku.rag.converters import get_converter
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from haiku.rag.converters.docling_local import DoclingLocalConverter
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from haiku.rag.converters.docling_serve import DoclingServeConverter
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from haiku.rag.converters.text_utils import TextFileHandler
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@pytest.fixture(scope="module")
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def vcr_cassette_dir():
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return str(Path(__file__).parent / "cassettes" / "test_converters")
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def create_mock_docling_document(name: str = "test") -> dict:
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"""Create a minimal valid DoclingDocument JSON structure for mocking."""
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return {
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"schema_name": "DoclingDocument",
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"version": "1.10.0",
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"name": name,
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"origin": {
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"mimetype": "text/markdown",
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"binary_hash": 12345,
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"filename": f"{name}.md",
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},
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"furniture": {
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"self_ref": "#/furniture",
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"parent": None,
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"children": [],
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"content_layer": "furniture",
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"name": "_root_",
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"label": "unspecified",
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},
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"body": {
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"self_ref": "#/body",
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"parent": None,
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"children": [],
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"content_layer": "body",
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"name": "_root_",
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"label": "unspecified",
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},
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"groups": [],
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"texts": [],
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"pictures": [],
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"tables": [],
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}
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def create_async_workflow_mocks(
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doc_json: dict, task_id: str = "test-task-123"
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) -> tuple[Mock, Mock, Mock]:
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"""Create mock responses for docling-serve async workflow.
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Returns tuple of (submit_response, poll_response, result_response).
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"""
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submit_response = Mock()
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submit_response.status_code = 200
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submit_response.json.return_value = {"task_id": task_id, "task_status": "pending"}
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submit_response.raise_for_status = Mock()
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poll_response = Mock()
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poll_response.status_code = 200
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poll_response.json.return_value = {"task_id": task_id, "task_status": "success"}
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poll_response.raise_for_status = Mock()
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result_response = Mock()
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result_response.status_code = 200
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result_response.json.return_value = {"document": {"json_content": doc_json}}
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result_response.raise_for_status = Mock()
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return submit_response, poll_response, result_response
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class TestTextFileHandler:
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"""Tests for TextFileHandler utility class."""
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def test_text_extensions_defined(self):
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"""Test that text extensions list is defined."""
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assert len(TextFileHandler.text_extensions) > 0
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assert ".py" in TextFileHandler.text_extensions
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assert ".js" in TextFileHandler.text_extensions
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assert ".txt" in TextFileHandler.text_extensions
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def test_plantuml_extensions_supported(self):
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"""Test that PlantUML extensions are in text_extensions."""
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assert ".puml" in TextFileHandler.text_extensions
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assert ".plantuml" in TextFileHandler.text_extensions
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assert ".pu" in TextFileHandler.text_extensions
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def test_code_markdown_identifiers(self):
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"""Test code language identifiers mapping."""
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assert TextFileHandler.code_markdown_identifier[".py"] == "python"
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assert TextFileHandler.code_markdown_identifier[".js"] == "javascript"
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assert TextFileHandler.code_markdown_identifier[".ts"] == "typescript"
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def test_plantuml_markdown_identifiers(self):
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"""Test PlantUML language identifiers mapping."""
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assert TextFileHandler.code_markdown_identifier[".puml"] == "plantuml"
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assert TextFileHandler.code_markdown_identifier[".plantuml"] == "plantuml"
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assert TextFileHandler.code_markdown_identifier[".pu"] == "plantuml"
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def test_prepare_text_content_with_code(self):
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"""Test that code files are wrapped in markdown code blocks."""
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code = "def hello():\n pass"
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result = TextFileHandler.prepare_text_content(code, ".py")
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assert result.startswith("```python\n")
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assert result.endswith("\n```")
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assert "def hello():" in result
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def test_prepare_text_content_with_plantuml(self):
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"""Test that PlantUML files are wrapped in plantuml code blocks."""
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puml = "@startuml\nAlice -> Bob: Hello\n@enduml"
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result = TextFileHandler.prepare_text_content(puml, ".puml")
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assert result.startswith("```plantuml\n")
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assert result.endswith("\n```")
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assert "@startuml" in result
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def test_prepare_text_content_without_code(self):
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"""Test that plain text files are not wrapped."""
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text = "Hello world"
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result = TextFileHandler.prepare_text_content(text, ".txt")
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assert result == text
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assert not result.startswith("```")
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class TestConverterFactory:
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"""Tests for converter factory function."""
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def test_get_docling_local_converter(self):
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"""Test getting docling-local converter."""
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config = AppConfig()
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config.processing.converter = "docling-local"
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converter = get_converter(config)
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assert isinstance(converter, DoclingLocalConverter)
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def test_get_docling_serve_converter(self):
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"""Test getting docling-serve converter."""
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config = AppConfig()
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config.processing.converter = "docling-serve"
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converter = get_converter(config)
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assert isinstance(converter, DoclingServeConverter)
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def test_invalid_converter_raises_error(self):
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"""Test that invalid converter name raises ValueError."""
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config = AppConfig()
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config.processing.converter = "invalid-converter"
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with pytest.raises(ValueError, match="Unsupported converter provider"):
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get_converter(config)
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class TestTextToDoclingWithFormat:
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"""Tests for format parameter in text to DoclingDocument conversion."""
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@pytest.mark.asyncio
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async def test_html_format_preserves_structure(self):
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"""Test that HTML content parsed with html format preserves document structure."""
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html_content = """
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<h1>Main Title</h1>
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<p>Introduction paragraph.</p>
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<h2>Section Header</h2>
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<ul>
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<li>Item 1</li>
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<li>Item 2</li>
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</ul>
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"""
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config = AppConfig()
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converter = DoclingLocalConverter(config)
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# With html format, should get proper structure
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doc = await converter.convert_text(
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html_content, name="content.html", format="html"
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)
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items = list(doc.iterate_items())
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labels = [str(getattr(item, "label", "")) for item, _ in items]
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assert "title" in labels or "section_header" in labels
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assert "list_item" in labels
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assert len(items) > 3
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@pytest.mark.asyncio
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async def test_md_format_is_default(self):
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"""Test that md format is used by default."""
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config = AppConfig()
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converter = DoclingLocalConverter(config)
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# Plain text should work with default format
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doc = await converter.convert_text("# Heading\n\nParagraph text.")
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items = list(doc.iterate_items())
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assert len(items) >= 2
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@pytest.mark.asyncio
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async def test_html_as_md_loses_structure(self):
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"""Test that HTML parsed as markdown loses semantic structure."""
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html_content = "<h1>Title</h1><p>Text</p><ul><li>Item</li></ul>"
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config = AppConfig()
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converter = DoclingLocalConverter(config)
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# With md format (default), HTML tags are treated as text
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doc = await converter.convert_text(html_content, format="md")
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items = list(doc.iterate_items())
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# Should still parse but with different structure
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# (markdown parser will interpret some HTML)
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assert len(items) >= 1
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@pytest.mark.asyncio
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async def test_invalid_format_raises_error(self):
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"""Test that invalid format raises ValueError."""
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config = AppConfig()
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converter = DoclingLocalConverter(config)
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with pytest.raises(ValueError, match="Unsupported format"):
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await converter.convert_text("content", format="invalid")
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@pytest.mark.asyncio
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async def test_plain_format(self):
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"""Test that format='plain' creates DoclingDocument directly."""
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config = AppConfig()
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converter = DoclingLocalConverter(config)
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plain_text = (
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"MZ Wallace is an American company which designs, manufactures "
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"and markets handbags and fashion accessories."
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)
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doc = await converter.convert_text(plain_text, format="plain")
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assert doc is not None
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exported = doc.export_to_markdown()
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assert "MZ Wallace" in exported
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@pytest.mark.asyncio
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async def test_plain_text_without_markdown_syntax_fallback(self):
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"""Test that plain text without markdown syntax falls back gracefully.
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Docling's format detection fails for plain text that doesn't contain
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markdown syntax (headers, lists, etc.). The converter should fall back
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to creating a simple DoclingDocument directly.
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"""
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config = AppConfig()
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converter = DoclingLocalConverter(config)
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# Plain text without any markdown syntax
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plain_text = (
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"MZ Wallace is an American company which designs, manufactures "
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"and markets handbags and fashion accessories. The company was "
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"founded in 1999 by Monica Zwirner and Lucy Wallace Eustice."
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)
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doc = await converter.convert_text(plain_text, format="md")
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assert doc is not None
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exported = doc.export_to_markdown()
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assert "MZ Wallace" in exported
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class TestDoclingLocalConverter:
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"""Tests for DoclingLocalConverter."""
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@pytest.fixture
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def config(self):
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"""Create test configuration."""
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return AppConfig()
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@pytest.fixture
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def converter(self, config):
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"""Create DoclingLocalConverter instance."""
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return DoclingLocalConverter(config)
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@pytest.mark.asyncio
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async def test_docling_document_serialization_roundtrip(self, converter):
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"""Test that DoclingDocument can be serialized and parsed back.
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This catches version mismatches between docling (which creates documents)
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and docling-core (which parses them). If their schema versions differ,
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model_validate_json() will raise a ValidationError.
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"""
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doc = await converter.convert_text("# Test\n\nContent here", name="test.md")
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json_str = doc.model_dump_json()
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parsed = DoclingDocument.model_validate_json(json_str)
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assert parsed.name == doc.name
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assert parsed.version == doc.version
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def test_supported_extensions(self, converter):
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"""Test that converter reports correct supported extensions."""
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extensions = converter.supported_extensions
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assert ".pdf" in extensions
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assert ".docx" in extensions
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assert ".py" in extensions
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assert ".txt" in extensions
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@pytest.mark.asyncio
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async def test_convert_text(self, converter):
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"""Test converting text to DoclingDocument."""
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doc = await converter.convert_text("# Test\n\nContent here", name="test.md")
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assert isinstance(doc, DoclingDocument)
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assert doc.name == "test"
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@pytest.mark.asyncio
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async def test_convert_code_file(self, converter):
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"""Test that code files are wrapped in code blocks."""
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python_code = "def hello():\n print('Hello')"
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with tempfile.NamedTemporaryFile(mode="w", suffix=".py") as f:
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f.write(python_code)
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f.flush()
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temp_path = Path(f.name)
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doc = await converter.convert_file(temp_path)
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result = doc.export_to_markdown()
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assert "```" in result
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assert "def hello():" in result
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def test_conversion_options_applied_to_local_converter(self, config):
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"""Test that conversion options are applied to local docling converter."""
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config.processing.conversion_options.do_ocr = False
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config.processing.conversion_options.table_mode = "fast"
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config.processing.conversion_options.images_scale = 3.0
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config.processing.conversion_options.generate_page_images = False
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converter = DoclingLocalConverter(config)
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assert converter.config.processing.conversion_options.do_ocr is False
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assert converter.config.processing.conversion_options.table_mode == "fast"
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assert converter.config.processing.conversion_options.images_scale == 3.0
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assert (
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converter.config.processing.conversion_options.generate_page_images is False
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)
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@pytest.mark.asyncio
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async def test_convert_pdf_without_picture_images(self, config):
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"""Test PDF conversion excludes embedded images by default."""
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pdf_path = Path("tests/data/doclaynet.pdf")
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config.processing.conversion_options.generate_picture_images = False
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converter = DoclingLocalConverter(config)
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doc = await converter.convert_file(pdf_path)
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assert isinstance(doc, DoclingDocument)
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# Check that pictures don't have image data
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for picture in doc.pictures:
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assert picture.image is None, (
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"Pictures should not have image data when generate_picture_images=False"
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)
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@pytest.mark.asyncio
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async def test_convert_pdf_with_picture_images(self, config):
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"""Test PDF conversion includes embedded images when enabled."""
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pdf_path = Path("tests/data/doclaynet.pdf")
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config.processing.conversion_options.generate_picture_images = True
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converter = DoclingLocalConverter(config)
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doc = await converter.convert_file(pdf_path)
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assert isinstance(doc, DoclingDocument)
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# Check that at least some pictures have image data
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pictures_with_images = [p for p in doc.pictures if p.image is not None]
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if doc.pictures:
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assert len(pictures_with_images) > 0, (
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"Pictures should have image data when generate_picture_images=True"
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)
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@pytest.mark.asyncio
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async def test_convert_pdf_without_page_images(self, config):
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"""Test PDF conversion excludes page images when disabled."""
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pdf_path = Path("tests/data/doclaynet.pdf")
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config.processing.conversion_options.generate_page_images = False
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converter = DoclingLocalConverter(config)
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doc = await converter.convert_file(pdf_path)
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assert isinstance(doc, DoclingDocument)
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# Check that pages don't have image data
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for page in doc.pages.values():
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assert page.image is None, (
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"Pages should not have image data when generate_page_images=False"
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)
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@pytest.mark.asyncio
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async def test_convert_pdf_with_page_images(self, config):
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"""Test PDF conversion includes page images when enabled."""
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pdf_path = Path("tests/data/doclaynet.pdf")
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config.processing.conversion_options.generate_page_images = True
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converter = DoclingLocalConverter(config)
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doc = await converter.convert_file(pdf_path)
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assert isinstance(doc, DoclingDocument)
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# Check that pages have image data
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pages_with_images = [p for p in doc.pages.values() if p.image is not None]
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assert len(pages_with_images) > 0, (
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"Pages should have image data when generate_page_images=True"
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)
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def test_get_vlm_api_url_with_ollama(self, config):
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"""Test VLM API URL construction for Ollama provider."""
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converter = DoclingLocalConverter(config)
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from haiku.rag.config.models import ModelConfig
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model = ModelConfig(provider="ollama", name="ministral-3")
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url = converter._get_vlm_api_url(model)
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assert url == "http://localhost:11434/v1/chat/completions"
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def test_get_vlm_api_url_with_custom_base_url(self, config):
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"""Test VLM API URL construction with custom base_url."""
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converter = DoclingLocalConverter(config)
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from haiku.rag.config.models import ModelConfig
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model = ModelConfig(
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provider="openai", name="gpt-4-vision", base_url="http://my-vllm:8000"
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)
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url = converter._get_vlm_api_url(model)
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assert url == "http://my-vllm:8000/v1/chat/completions"
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def test_get_vlm_api_url_with_openai(self, config):
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"""Test VLM API URL construction for OpenAI provider."""
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converter = DoclingLocalConverter(config)
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from haiku.rag.config.models import ModelConfig
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model = ModelConfig(provider="openai", name="gpt-4-vision")
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url = converter._get_vlm_api_url(model)
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assert url == "https://api.openai.com/v1/chat/completions"
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def test_get_vlm_api_url_unsupported_provider(self, config):
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"""Test VLM API URL construction raises error for unsupported provider."""
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converter = DoclingLocalConverter(config)
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from haiku.rag.config.models import ModelConfig
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model = ModelConfig(provider="unsupported", name="test")
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with pytest.raises(ValueError, match="Unsupported VLM provider"):
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converter._get_vlm_api_url(model)
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def test_ocr_engine_config_applied(self, config):
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"""Test that ocr_engine config is stored correctly."""
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config.processing.conversion_options.ocr_engine = "rapidocr"
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converter = DoclingLocalConverter(config)
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assert converter.config.processing.conversion_options.ocr_engine == "rapidocr"
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def test_get_ocr_options_auto(self, config):
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"""Test that _get_ocr_options returns OcrAutoOptions for 'auto'."""
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from docling.datamodel.pipeline_options import OcrAutoOptions
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config.processing.conversion_options.ocr_engine = "auto"
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converter = DoclingLocalConverter(config)
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opts = converter._get_ocr_options(config.processing.conversion_options)
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assert isinstance(opts, OcrAutoOptions)
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def test_get_ocr_options_rapidocr(self, config):
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"""Test that _get_ocr_options returns RapidOcrOptions for 'rapidocr'."""
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from docling.datamodel.pipeline_options import RapidOcrOptions
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config.processing.conversion_options.ocr_engine = "rapidocr"
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converter = DoclingLocalConverter(config)
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opts = converter._get_ocr_options(config.processing.conversion_options)
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assert isinstance(opts, RapidOcrOptions)
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def test_get_ocr_options_easyocr(self, config):
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"""Test that _get_ocr_options returns EasyOcrOptions for 'easyocr'."""
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from docling.datamodel.pipeline_options import EasyOcrOptions
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config.processing.conversion_options.ocr_engine = "easyocr"
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converter = DoclingLocalConverter(config)
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opts = converter._get_ocr_options(config.processing.conversion_options)
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assert isinstance(opts, EasyOcrOptions)
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def test_get_ocr_options_tesseract(self, config):
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"""Test that _get_ocr_options returns TesseractOcrOptions for 'tesseract'."""
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from docling.datamodel.pipeline_options import TesseractOcrOptions
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config.processing.conversion_options.ocr_engine = "tesseract"
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converter = DoclingLocalConverter(config)
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opts = converter._get_ocr_options(config.processing.conversion_options)
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assert isinstance(opts, TesseractOcrOptions)
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def test_get_ocr_options_tesserocr(self, config):
|
|
"""Test that _get_ocr_options returns TesseractCliOcrOptions for 'tesserocr'."""
|
|
from docling.datamodel.pipeline_options import TesseractCliOcrOptions
|
|
|
|
config.processing.conversion_options.ocr_engine = "tesserocr"
|
|
converter = DoclingLocalConverter(config)
|
|
opts = converter._get_ocr_options(config.processing.conversion_options)
|
|
assert isinstance(opts, TesseractCliOcrOptions)
|
|
|
|
def test_get_ocr_options_ocrmac(self, config):
|
|
"""Test that _get_ocr_options returns OcrMacOptions for 'ocrmac'."""
|
|
from docling.datamodel.pipeline_options import OcrMacOptions
|
|
|
|
config.processing.conversion_options.ocr_engine = "ocrmac"
|
|
converter = DoclingLocalConverter(config)
|
|
opts = converter._get_ocr_options(config.processing.conversion_options)
|
|
assert isinstance(opts, OcrMacOptions)
|
|
|
|
def test_get_ocr_options_passes_force_ocr_and_lang(self, config):
|
|
"""Test that _get_ocr_options passes force_ocr and ocr_lang."""
|
|
config.processing.conversion_options.ocr_engine = "rapidocr"
|
|
config.processing.conversion_options.force_ocr = True
|
|
config.processing.conversion_options.ocr_lang = ["en", "de"]
|
|
converter = DoclingLocalConverter(config)
|
|
opts = converter._get_ocr_options(config.processing.conversion_options)
|
|
assert opts.force_full_page_ocr is True
|
|
assert opts.lang == ["en", "de"]
|
|
|
|
def test_picture_description_config_defaults(self, config):
|
|
"""Test that picture description config has correct defaults."""
|
|
assert config.processing.conversion_options.picture_description.enabled is False
|
|
assert (
|
|
config.processing.conversion_options.picture_description.model.provider
|
|
== "ollama"
|
|
)
|
|
assert (
|
|
config.processing.conversion_options.picture_description.model.name
|
|
== "ministral-3"
|
|
)
|
|
assert config.processing.conversion_options.picture_description.timeout == 90
|
|
assert (
|
|
config.processing.conversion_options.picture_description.max_tokens == 200
|
|
)
|
|
# Default prompt is in PromptsConfig
|
|
assert "blind user" in config.prompts.picture_description
|
|
|
|
def test_picture_description_config_applied(self, config):
|
|
"""Test that picture description config is applied to converter."""
|
|
config.processing.conversion_options.picture_description.enabled = True
|
|
config.processing.conversion_options.picture_description.timeout = 120
|
|
converter = DoclingLocalConverter(config)
|
|
|
|
pic_desc = converter.config.processing.conversion_options.picture_description
|
|
assert pic_desc.enabled is True
|
|
assert pic_desc.timeout == 120
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.vcr()
|
|
async def test_picture_description_end_to_end(self, config):
|
|
"""End-to-end test: convert PDF with VLM picture descriptions."""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
|
|
# Disable OCR (not needed for native PDF, avoids model downloads)
|
|
config.processing.conversion_options.do_ocr = False
|
|
# Enable picture description with Ollama
|
|
config.processing.conversion_options.picture_description.enabled = True
|
|
config.processing.conversion_options.picture_description.model.provider = (
|
|
"ollama"
|
|
)
|
|
config.processing.conversion_options.picture_description.model.name = (
|
|
"ministral-3"
|
|
)
|
|
|
|
converter = DoclingLocalConverter(config)
|
|
doc = await converter.convert_file(pdf_path)
|
|
|
|
# Export to markdown and check for picture descriptions
|
|
markdown = doc.export_to_markdown()
|
|
|
|
# The document should have pictures with descriptions
|
|
assert doc.pictures, "Document should have pictures"
|
|
|
|
# Check that at least one picture has a description annotation
|
|
from docling_core.types.doc.document import PictureDescriptionData
|
|
|
|
pictures_with_descriptions = []
|
|
for pic in doc.pictures:
|
|
for ann in pic.annotations:
|
|
if isinstance(ann, PictureDescriptionData):
|
|
pictures_with_descriptions.append(pic)
|
|
# Description should appear in markdown output
|
|
assert ann.text in markdown, (
|
|
f"Picture description '{ann.text[:50]}...' should be in markdown"
|
|
)
|
|
break
|
|
|
|
assert pictures_with_descriptions, (
|
|
"At least one picture should have a VLM description"
|
|
)
|
|
|
|
|
|
class TestDoclingServeConverter:
|
|
"""Tests for DoclingServeConverter (mocked)."""
|
|
|
|
@pytest.fixture
|
|
def config(self):
|
|
"""Create test configuration."""
|
|
config = AppConfig()
|
|
config.providers.docling_serve.base_url = "http://localhost:5001"
|
|
config.providers.docling_serve.api_key = ""
|
|
return config
|
|
|
|
@pytest.fixture
|
|
def converter(self, config):
|
|
"""Create DoclingServeConverter instance."""
|
|
return DoclingServeConverter(config)
|
|
|
|
def test_initialization(self, converter):
|
|
"""Test converter initialization."""
|
|
assert converter.client.base_url == "http://localhost:5001"
|
|
|
|
def test_supported_extensions(self, converter):
|
|
"""Test that converter reports correct supported extensions."""
|
|
extensions = converter.supported_extensions
|
|
assert ".pdf" in extensions
|
|
assert ".docx" in extensions
|
|
assert ".py" in extensions
|
|
assert ".md" in extensions
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_success(self, converter):
|
|
"""Test successful text conversion via docling-serve async workflow."""
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
doc = await converter.convert_text("# Test", name="test.md")
|
|
assert isinstance(doc, DoclingDocument)
|
|
assert doc.version == "1.10.0"
|
|
mock_client.post.assert_called_once()
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_with_api_key(self, config):
|
|
"""Test that API key is included in request headers."""
|
|
config.providers.docling_serve.api_key = "test-key"
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
await converter.convert_text("# Test")
|
|
|
|
call_kwargs = mock_client.post.call_args.kwargs
|
|
assert "headers" in call_kwargs
|
|
assert call_kwargs["headers"]["X-Api-Key"] == "test-key"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_conversion_options_passed_to_api(self, config):
|
|
"""Test that conversion options are passed to docling-serve API."""
|
|
config.processing.conversion_options.do_ocr = False
|
|
config.processing.conversion_options.force_ocr = True
|
|
config.processing.conversion_options.ocr_lang = ["en", "fr"]
|
|
config.processing.conversion_options.table_mode = "fast"
|
|
config.processing.conversion_options.table_cell_matching = False
|
|
config.processing.conversion_options.do_table_structure = False
|
|
config.processing.conversion_options.images_scale = 3.0
|
|
config.processing.conversion_options.generate_picture_images = False
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
await converter.convert_text("# Test")
|
|
|
|
call_kwargs = mock_client.post.call_args.kwargs
|
|
assert "data" in call_kwargs
|
|
data = call_kwargs["data"]
|
|
assert data["do_ocr"] == "false"
|
|
assert data["force_ocr"] == "true"
|
|
assert data["ocr_lang"] == ["en", "fr"]
|
|
assert data["table_mode"] == "fast"
|
|
assert data["table_cell_matching"] == "false"
|
|
assert data["do_table_structure"] == "false"
|
|
assert data["images_scale"] == "3.0"
|
|
assert data["include_images"] == "false"
|
|
assert data["image_export_mode"] == "embedded"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_ocr_engine_passed_to_api(self, config):
|
|
"""Test that ocr_engine is passed to docling-serve API."""
|
|
config.processing.conversion_options.ocr_engine = "rapidocr"
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
await converter.convert_text("# Test")
|
|
|
|
call_kwargs = mock_client.post.call_args.kwargs
|
|
data = call_kwargs["data"]
|
|
assert data["ocr_engine"] == "rapidocr"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_connection_error(self, converter):
|
|
"""Test handling of connection errors."""
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(
|
|
side_effect=httpx.ConnectError("Connection failed")
|
|
)
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
with pytest.raises(ValueError, match="Could not connect to docling-serve"):
|
|
await converter.convert_text("# Test")
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_timeout_error(self, converter):
|
|
"""Test handling of timeout errors."""
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(side_effect=httpx.TimeoutException("Timeout"))
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
with pytest.raises(ValueError, match="timed out"):
|
|
await converter.convert_text("# Test")
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_auth_error(self, converter):
|
|
"""Test handling of authentication errors."""
|
|
mock_response = Mock()
|
|
mock_response.status_code = 401
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(
|
|
side_effect=httpx.HTTPStatusError(
|
|
"Auth failed", request=Mock(), response=mock_response
|
|
)
|
|
)
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
with pytest.raises(ValueError, match="Authentication failed"):
|
|
await converter.convert_text("# Test")
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_no_json_content(self, converter):
|
|
"""Test handling when docling-serve returns no JSON content."""
|
|
submit_resp, poll_resp, _ = create_async_workflow_mocks({})
|
|
result_resp = Mock()
|
|
result_resp.status_code = 200
|
|
result_resp.json.return_value = {"document": {"json_content": None}}
|
|
result_resp.raise_for_status = Mock()
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
with pytest.raises(ValueError, match="did not return JSON content"):
|
|
await converter.convert_text("# Test")
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_file_pdf(self, converter):
|
|
"""Test converting PDF file via docling-serve async workflow."""
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
with tempfile.NamedTemporaryFile(suffix=".pdf") as f:
|
|
f.write(b"fake pdf content")
|
|
f.flush()
|
|
temp_path = Path(f.name)
|
|
doc = await converter.convert_file(temp_path)
|
|
|
|
assert isinstance(doc, DoclingDocument)
|
|
mock_client.post.assert_called_once()
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_convert_file_text(self, converter):
|
|
"""Test converting text file (reads locally, sends to docling-serve)."""
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
with tempfile.NamedTemporaryFile(mode="w", suffix=".py") as f:
|
|
f.write("def hello():\n pass")
|
|
f.flush()
|
|
temp_path = Path(f.name)
|
|
doc = await converter.convert_file(temp_path)
|
|
|
|
assert isinstance(doc, DoclingDocument)
|
|
mock_client.post.assert_called_once()
|
|
call_kwargs = mock_client.post.call_args.kwargs
|
|
assert "files" in call_kwargs
|
|
|
|
|
|
class TestDoclingServeConverterPictureDescription:
|
|
"""Tests for DoclingServeConverter picture description support."""
|
|
|
|
@pytest.fixture
|
|
def config(self):
|
|
"""Create test configuration."""
|
|
config = AppConfig()
|
|
config.providers.docling_serve.base_url = "http://localhost:5001"
|
|
config.providers.docling_serve.api_key = ""
|
|
return config
|
|
|
|
def test_get_vlm_api_url_with_ollama(self, config):
|
|
"""Test VLM API URL construction for Ollama provider."""
|
|
converter = DoclingServeConverter(config)
|
|
from haiku.rag.config.models import ModelConfig
|
|
|
|
model = ModelConfig(provider="ollama", name="ministral-3")
|
|
url = converter._get_vlm_api_url(model)
|
|
assert url == "http://localhost:11434/v1/chat/completions"
|
|
|
|
def test_get_vlm_api_url_with_custom_base_url(self, config):
|
|
"""Test VLM API URL construction with custom base_url."""
|
|
converter = DoclingServeConverter(config)
|
|
from haiku.rag.config.models import ModelConfig
|
|
|
|
model = ModelConfig(
|
|
provider="openai", name="gpt-4-vision", base_url="http://my-vllm:8000"
|
|
)
|
|
url = converter._get_vlm_api_url(model)
|
|
assert url == "http://my-vllm:8000/v1/chat/completions"
|
|
|
|
def test_get_vlm_api_url_with_openai(self, config):
|
|
"""Test VLM API URL construction for OpenAI provider."""
|
|
converter = DoclingServeConverter(config)
|
|
from haiku.rag.config.models import ModelConfig
|
|
|
|
model = ModelConfig(provider="openai", name="gpt-4-vision")
|
|
url = converter._get_vlm_api_url(model)
|
|
assert url == "https://api.openai.com/v1/chat/completions"
|
|
|
|
def test_get_vlm_api_url_unsupported_provider(self, config):
|
|
"""Test VLM API URL construction raises error for unsupported provider."""
|
|
converter = DoclingServeConverter(config)
|
|
from haiku.rag.config.models import ModelConfig
|
|
|
|
model = ModelConfig(provider="unsupported", name="test")
|
|
with pytest.raises(ValueError, match="Unsupported VLM provider"):
|
|
converter._get_vlm_api_url(model)
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_picture_description_options_passed_to_api(self, config):
|
|
"""Test that picture description options are passed to docling-serve API."""
|
|
import json
|
|
|
|
config.processing.conversion_options.picture_description.enabled = True
|
|
config.processing.conversion_options.picture_description.model.provider = (
|
|
"ollama"
|
|
)
|
|
config.processing.conversion_options.picture_description.model.name = (
|
|
"ministral-3"
|
|
)
|
|
config.processing.conversion_options.picture_description.timeout = 120
|
|
config.processing.conversion_options.picture_description.max_tokens = 300
|
|
config.prompts.picture_description = "Test prompt for picture description"
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
await converter.convert_text("# Test")
|
|
|
|
call_kwargs = mock_client.post.call_args.kwargs
|
|
assert "data" in call_kwargs
|
|
data = call_kwargs["data"]
|
|
|
|
assert data["do_picture_description"] == "true"
|
|
assert data["include_images"] == "true"
|
|
assert "picture_description_api" in data
|
|
|
|
api_config = json.loads(data["picture_description_api"])
|
|
assert api_config["url"] == "http://localhost:11434/v1/chat/completions"
|
|
assert api_config["params"]["model"] == "ministral-3"
|
|
assert api_config["params"]["max_completion_tokens"] == 300
|
|
assert api_config["prompt"] == "Test prompt for picture description"
|
|
assert api_config["timeout"] == 120
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_picture_description_disabled_by_default(self, config):
|
|
"""Test that picture description is disabled by default."""
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc_json = create_mock_docling_document("test")
|
|
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
|
|
|
with patch("httpx.AsyncClient") as mock_client_class:
|
|
mock_client = AsyncMock()
|
|
mock_client.post = AsyncMock(return_value=submit_resp)
|
|
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
|
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
|
mock_client.__aexit__ = AsyncMock(return_value=None)
|
|
mock_client_class.return_value = mock_client
|
|
|
|
await converter.convert_text("# Test")
|
|
|
|
call_kwargs = mock_client.post.call_args.kwargs
|
|
data = call_kwargs["data"]
|
|
assert data["do_picture_description"] == "false"
|
|
assert "picture_description_api" not in data
|
|
|
|
|
|
class TestDoclingServeConverterIntegration:
|
|
"""Integration tests with real docling-serve recorded via VCR."""
|
|
|
|
@pytest.fixture
|
|
def config(self):
|
|
"""Create configuration for integration tests."""
|
|
config = AppConfig()
|
|
config.providers.docling_serve.base_url = "http://localhost:5001"
|
|
return config
|
|
|
|
@pytest.fixture
|
|
def converter(self, config):
|
|
"""Create converter for integration tests."""
|
|
return DoclingServeConverter(config)
|
|
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_text_real_service(self, converter):
|
|
"""Test text conversion with real docling-serve."""
|
|
doc = await converter.convert_text("# Test Document\n\nThis is a test.")
|
|
assert isinstance(doc, DoclingDocument)
|
|
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_code_file_real_service(self, converter):
|
|
"""Test code file conversion with real docling-serve."""
|
|
code = "def test():\n return 42"
|
|
with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as f:
|
|
f.write(code)
|
|
temp_path = Path(f.name)
|
|
doc = await converter.convert_file(temp_path)
|
|
temp_path.unlink()
|
|
|
|
assert isinstance(doc, DoclingDocument)
|
|
result = doc.export_to_markdown()
|
|
assert "def test():" in result
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.integration
|
|
async def test_picture_description_end_to_end(self, config):
|
|
"""End-to-end test: convert PDF with VLM picture descriptions via docling-serve.
|
|
|
|
Note: Not using VCR because this test involves polling with changing task IDs.
|
|
"""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
config.processing.conversion_options.picture_description.enabled = True
|
|
config.processing.conversion_options.picture_description.model.provider = (
|
|
"ollama"
|
|
)
|
|
config.processing.conversion_options.picture_description.model.name = (
|
|
"ministral-3"
|
|
)
|
|
# Use host.docker.internal so docling-serve in Docker can reach host's Ollama
|
|
config.processing.conversion_options.picture_description.model.base_url = (
|
|
"http://host.docker.internal:11434"
|
|
)
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc = await converter.convert_file(pdf_path)
|
|
|
|
assert doc.pictures, "Document should have pictures"
|
|
|
|
from docling_core.types.doc.document import PictureDescriptionData
|
|
|
|
pictures_with_descriptions = []
|
|
markdown = doc.export_to_markdown()
|
|
for pic in doc.pictures:
|
|
for ann in pic.annotations:
|
|
if isinstance(ann, PictureDescriptionData):
|
|
pictures_with_descriptions.append(pic)
|
|
assert ann.text in markdown, (
|
|
f"Picture description '{ann.text[:50]}...' should be in markdown"
|
|
)
|
|
break
|
|
|
|
assert pictures_with_descriptions, (
|
|
"At least one picture should have a VLM description"
|
|
)
|
|
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_pdf_without_page_images(self, config):
|
|
"""Test PDF conversion excludes page images when disabled."""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
config.processing.conversion_options.generate_page_images = False
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc = await converter.convert_file(pdf_path)
|
|
assert isinstance(doc, DoclingDocument)
|
|
|
|
# Check that pages don't have image data
|
|
for page in doc.pages.values():
|
|
assert page.image is None, (
|
|
"Pages should not have image data when generate_page_images=False"
|
|
)
|
|
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_pdf_with_page_images(self, config):
|
|
"""Test PDF conversion includes page images when enabled."""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
config.processing.conversion_options.generate_page_images = True
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc = await converter.convert_file(pdf_path)
|
|
assert isinstance(doc, DoclingDocument)
|
|
|
|
# Check that pages have image data
|
|
pages_with_images = [p for p in doc.pages.values() if p.image is not None]
|
|
assert len(pages_with_images) > 0, (
|
|
"Pages should have image data when generate_page_images=True"
|
|
)
|
|
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_pdf_without_picture_images(self, config):
|
|
"""Test PDF conversion excludes picture images when disabled."""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
config.processing.conversion_options.generate_picture_images = False
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc = await converter.convert_file(pdf_path)
|
|
assert isinstance(doc, DoclingDocument)
|
|
|
|
# Check that pictures don't have image data
|
|
for picture in doc.pictures:
|
|
assert picture.image is None, (
|
|
"Pictures should not have image data when generate_picture_images=False"
|
|
)
|
|
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_pdf_with_ocr_engine(self, config):
|
|
"""Test PDF conversion with explicit OCR engine selection."""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
config.processing.conversion_options.ocr_engine = "easyocr"
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc = await converter.convert_file(pdf_path)
|
|
assert isinstance(doc, DoclingDocument)
|
|
assert len(doc.pages) > 0
|
|
assert len(doc.export_to_markdown().strip()) > 100
|
|
|
|
@pytest.mark.xfail(
|
|
reason="docling-serve does not return picture image data in JSON response "
|
|
"even with include_images=true. Page images work, but extracted picture/figure "
|
|
"images are not included. This is a docling-serve limitation."
|
|
)
|
|
@pytest.mark.vcr()
|
|
@pytest.mark.asyncio
|
|
async def test_convert_pdf_with_picture_images(self, config):
|
|
"""Test PDF conversion includes picture images when enabled."""
|
|
pdf_path = Path("tests/data/doclaynet.pdf")
|
|
config.processing.conversion_options.generate_picture_images = True
|
|
converter = DoclingServeConverter(config)
|
|
|
|
doc = await converter.convert_file(pdf_path)
|
|
assert isinstance(doc, DoclingDocument)
|
|
|
|
# Check that at least some pictures have image data
|
|
pictures_with_images = [p for p in doc.pictures if p.image is not None]
|
|
if doc.pictures:
|
|
assert len(pictures_with_images) > 0, (
|
|
"Pictures should have image data when generate_picture_images=True"
|
|
)
|