Celes Renata
57619860d5
Complete implementation of the DCOS package including: - 40+ Python source files across agents, communication, core, learning, memory, protocols, utils - pyproject.toml build configuration - 102 unit tests across all subsystems - Fixed flake.nix (Python 3.12, proper dependencies, pyproject build) - Fixed .woodpecker.yml (correct paths, removed silent-fail flags) - Added .gitignore - Cleared stale pytest cache
25 lines
635 B
Python
25 lines
635 B
Python
"""
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Tests for ResearchAgent.
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"""
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import pytest
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from dcos.agents.research import ResearchAgent
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class TestResearchAgent:
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def test_initialization(self):
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agent = ResearchAgent()
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assert agent.identity.name == "researcher"
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def test_research(self):
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agent = ResearchAgent()
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result = agent.research("AI safety", depth=3)
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assert result["topic"] == "AI safety"
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assert len(result["key_findings"]) == 3
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def test_act(self):
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agent = ResearchAgent()
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result = agent.act({"query": "test query"})
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assert "findings" in result
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assert result["confidence"] > 0
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