181 lines
6.2 KiB
Python
181 lines
6.2 KiB
Python
import pytest
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from haiku.rag.client import HaikuRAG
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@pytest.mark.asyncio
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async def test_search_with_uri_filter(temp_db_path):
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"""Test filtering by document URI."""
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async with HaikuRAG(db_path=temp_db_path) as client:
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# Add multiple test documents
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await client.create_document(
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content="Python tutorial content",
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uri="https://example.com/python.html",
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title="Python Guide",
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)
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await client.create_document(
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content=" Java tutorial content",
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uri="https://other.com/java.html",
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title="Java Guide",
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)
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# Filter by URI pattern
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results = await client.search(
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"tutorial", limit=5, filter="uri LIKE '%example.com%'"
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)
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assert len(results) > 0
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for chunk, _ in results:
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assert chunk.document_uri is not None
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assert "example.com" in chunk.document_uri
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# Filter by exact URI
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results = await client.search(
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"tutorial", limit=5, filter="uri = 'https://other.com/java.html'"
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)
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assert len(results) > 0
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for chunk, _ in results:
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assert chunk.document_uri == "https://other.com/java.html"
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@pytest.mark.asyncio
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async def test_search_with_title_filter(temp_db_path):
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"""Test filtering by document title."""
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async with HaikuRAG(db_path=temp_db_path) as client:
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# Add test documents
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await client.create_document(
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content="Programming content",
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uri="https://example.com/doc1.html",
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title="Python Programming",
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)
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await client.create_document(
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content="Programming content",
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uri="https://example.com/doc2.html",
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title="Java Programming",
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)
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# Filter by title pattern
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results = await client.search(
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"programming", limit=5, filter="title LIKE '%Python%'"
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)
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assert len(results) > 0
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for chunk, _ in results:
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assert chunk.document_title is not None
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assert "Python" in chunk.document_title
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@pytest.mark.asyncio
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async def test_search_with_combined_filters(temp_db_path):
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"""Test filtering with AND/OR conditions."""
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async with HaikuRAG(db_path=temp_db_path) as client:
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# Add test documents
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await client.create_document(
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content="Content about AI",
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uri="https://arxiv.org/paper1.pdf",
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title="Machine Learning Paper",
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)
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await client.create_document(
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content="Content about AI",
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uri="https://example.com/tutorial.html",
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title="AI Tutorial",
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)
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await client.create_document(
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content="Content about AI",
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uri="https://arxiv.org/paper2.pdf",
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title="Deep Learning Paper",
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)
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# Filter with AND condition
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results = await client.search(
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"AI", limit=5, filter="uri LIKE '%arxiv%' AND title LIKE '%Machine%'"
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)
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assert len(results) > 0
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for chunk, _ in results:
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assert chunk.document_uri is not None
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assert chunk.document_title is not None
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assert "arxiv" in chunk.document_uri
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assert "Machine" in chunk.document_title
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# Filter with OR condition (if supported)
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results = await client.search(
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"AI", limit=5, filter="title LIKE '%Tutorial%' OR title LIKE '%Deep%'"
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)
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assert len(results) > 0
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@pytest.mark.asyncio
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async def test_search_with_no_matching_filter(temp_db_path):
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"""Test that search returns empty results when filter matches no documents."""
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async with HaikuRAG(db_path=temp_db_path) as client:
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# Add a test document
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await client.create_document(
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content="Test content",
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uri="https://example.com/test.html",
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title="Test Document",
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)
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# Search with non-matching filter
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results = await client.search(
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"test", limit=5, filter="uri = 'https://nonexistent.com/doc.html'"
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)
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assert len(results) == 0
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@pytest.mark.asyncio
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async def test_search_with_invalid_filter(temp_db_path):
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"""Test that invalid filter syntax raises an appropriate error."""
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async with HaikuRAG(db_path=temp_db_path) as client:
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# Add a test document
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await client.create_document(
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content="Test content",
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uri="https://example.com/test.html",
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title="Test Document",
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)
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# Invalid filter should raise RuntimeError
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with pytest.raises(RuntimeError, match="No field named invalid"):
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await client.search("test", limit=5, filter="invalid = 'value'")
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@pytest.mark.asyncio
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async def test_search_filter_with_all_search_types(temp_db_path):
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"""Test that filtering works with all search types (vector, fts, hybrid)."""
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async with HaikuRAG(db_path=temp_db_path) as client:
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await client.create_document(
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content="Machine learning is a subset of artificial intelligence",
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uri="https://ai.example.com/ml.html",
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title="ML Guide",
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)
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await client.create_document(
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content="Deep learning uses neural networks",
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uri="https://other.com/dl.html",
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title="DL Guide",
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)
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# Test vector search with filter
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results = await client.search(
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"machine learning",
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limit=5,
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search_type="vector",
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filter="uri LIKE '%ai.example%'",
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)
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assert len(results) > 0
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for chunk, _ in results:
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assert chunk.document_uri is not None
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assert "ai.example" in chunk.document_uri
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# Test FTS search with filter
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results = await client.search(
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"learning", limit=5, search_type="fts", filter="title = 'ML Guide'"
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)
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assert all(chunk.document_title == "ML Guide" for chunk, _ in results)
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# Test hybrid search with filter (default)
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results = await client.search(
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"neural networks",
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limit=5,
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search_type="hybrid",
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filter="uri LIKE '%other.com%'",
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)
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for chunk, _ in results:
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assert chunk.document_uri is not None
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assert "other.com" in chunk.document_uri
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