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ecd16486c1
- Implement FAISSSearchTool for vector similarity search - Add comprehensive unit tests - Update documentation with usage examples - Add FAISS dependency Closes #2118 Co-Authored-By: Joe Moura <joao@crewai.com>
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
import pytest
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import numpy as np
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from crewai.tools import FAISSSearchTool
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def test_faiss_search_tool_initialization():
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tool = FAISSSearchTool()
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assert tool.name == "FAISS Search Tool"
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assert tool.dimension == 384
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def test_faiss_search_with_texts():
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tool = FAISSSearchTool()
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texts = [
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"The quick brown fox",
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"jumps over the lazy dog",
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"A completely different text"
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]
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tool.add_texts(texts)
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results = tool.run(
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query="quick fox",
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k=2,
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score_threshold=0.5
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)
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assert len(results) > 0
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assert isinstance(results[0]["text"], str)
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assert isinstance(results[0]["score"], float)
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def test_faiss_search_threshold_filtering():
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tool = FAISSSearchTool()
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texts = ["Text A", "Text B", "Text C"]
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tool.add_texts(texts)
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results = tool.run(
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query="Something completely different",
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score_threshold=0.99 # High threshold
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)
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assert len(results) == 0 # No results above threshold
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def test_invalid_index_type():
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with pytest.raises(ValueError):
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FAISSSearchTool(index_type="INVALID")
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