487a4e08ff
The Baidu MeDo hackathon integration was sitting in builtin_tools/ as dead code — not imported by any loader but shipped with every workspace image, misleadingly suggesting it was a core builtin. Changes: - Move builtin_tools/medo.py → plugins/molecule-medo/skills/medo-tools/scripts/medo.py (git detects this as a rename — no code changes, identical tool surface) - Add plugins/molecule-medo/plugin.yaml (manifest: name, version, runtimes, tags) - Add plugins/molecule-medo/skills/medo-tools/SKILL.md (frontmatter + setup docs) - Move workspace-template/tests/test_medo.py → plugins/molecule-medo/tests/test_medo.py (update _MEDO_PATH to resolve from plugin root; add conftest.py for langchain mock) - Update .gitignore: change /plugins/ blanket ignore to /plugins/* so this plugin can be tracked until it gets its own standalone repo Acceptance criteria met: - builtin_tools/medo.py removed from core - plugins/molecule-medo/ created with identical tool surface (9/9 tests pass) - cd workspace-template && pytest → 1021 passed, 2 xfailed (no regression) - MEDO_API_KEY was never in default provisioning (.env.example / config.py clean) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
22 lines
722 B
Python
22 lines
722 B
Python
"""Minimal conftest for molecule-medo plugin tests.
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langchain_core is a declared dependency of workspace-template (>=0.3.0) and
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is expected to be present in the test environment. If it is absent, mock it
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so the @tool decorator in medo.py is a no-op and the tests can still run.
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"""
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import sys
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from types import ModuleType
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def _mock_langchain_if_missing():
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if "langchain_core" not in sys.modules:
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lc_mod = ModuleType("langchain_core")
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lc_tools_mod = ModuleType("langchain_core.tools")
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lc_tools_mod.tool = lambda f: f # @tool becomes identity decorator
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sys.modules["langchain_core"] = lc_mod
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sys.modules["langchain_core.tools"] = lc_tools_mod
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_mock_langchain_if_missing()
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