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- Add test to verify knowledge is effectively used in agent execution - Test checks that knowledge from agent is correctly used in response - Verifies fix for issue #2269 Co-Authored-By: Joe Moura <joao@crewai.com>
68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
"""Test knowledge utils functionality."""
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from typing import Dict, List, Any
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import pytest
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from crewai.knowledge.utils.knowledge_utils import extract_knowledge_context
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def test_extract_knowledge_context_with_valid_snippets():
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"""Test extracting knowledge context with valid snippets."""
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snippets = [
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{"context": "Fact 1: The sky is blue", "score": 0.9},
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{"context": "Fact 2: Water is wet", "score": 0.8},
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]
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result = extract_knowledge_context(snippets)
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expected = "Additional Information: Fact 1: The sky is blue\nFact 2: Water is wet"
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assert result == expected
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def test_extract_knowledge_context_with_empty_snippets():
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"""Test extracting knowledge context with empty snippets."""
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snippets: List[Dict[str, Any]] = []
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result = extract_knowledge_context(snippets)
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assert result == ""
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def test_extract_knowledge_context_with_none_snippets():
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"""Test extracting knowledge context with None snippets."""
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snippets = [None, {"context": "Valid context"}] # type: ignore
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result = extract_knowledge_context(snippets)
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assert result == "Additional Information: Valid context"
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def test_extract_knowledge_context_with_missing_context():
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"""Test extracting knowledge context with missing context."""
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snippets = [{"score": 0.9}, {"context": "Valid context"}]
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result = extract_knowledge_context(snippets)
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assert result == "Important Context (You MUST use this information to complete your task accurately and effectively):\nValid context\n\nMake sure to incorporate the above context into your response."
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def test_knowledge_effectiveness():
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"""Test that knowledge is effectively used in agent execution."""
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from crewai import Agent, Task, Crew
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from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
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content = "The capital of France is Paris. The Eiffel Tower is located in Paris."
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string_source = StringKnowledgeSource(content=content)
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agent = Agent(
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role="Geography Expert",
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goal="Answer questions about geography accurately",
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backstory="You are an expert in geography",
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knowledge_sources=[string_source],
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)
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task = Task(
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description="What is the capital of France?",
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expected_output="The capital of France",
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agent=agent,
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)
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crew = Crew(agents=[agent], tasks=[task])
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result = crew.kickoff()
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assert "paris" in result.raw.lower()
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assert "capital" in result.raw.lower()
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