feat: implement DCOS source tree, tests, and build configuration
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
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"""
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Tests for EthicsAgent.
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"""
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import pytest
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from dcos.agents.ethics import EthicsAgent, EthicalConstraint
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class TestEthicsAgent:
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def test_validate_ethical(self):
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agent = EthicsAgent()
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result = agent.validate("help the user")
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assert len(result) == 0
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def test_validate_unethical(self):
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agent = EthicsAgent()
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result = agent.validate("deceive the user")
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assert len(result) > 0
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def test_add_constraint(self):
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agent = EthicsAgent()
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before = len(agent._constraints)
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agent.add_constraint(EthicalConstraint.BENEFICENCE)
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assert len(agent._constraints) == before # already present
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def test_act(self):
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agent = EthicsAgent()
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result = agent.act({"action": "help"})
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assert result["ethical"] is True
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