mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
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b00547ad53
Formatted 14 files to comply with ruff formatting rules: - Consistent code style across codebase - Improved readability - All formatting checks now pass 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
117 lines
3.2 KiB
Python
117 lines
3.2 KiB
Python
"""
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Pytest configuration and shared fixtures for SuperClaude tests
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This file is automatically loaded by pytest and provides
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shared fixtures available to all test modules.
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"""
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import pytest
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@pytest.fixture
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def sample_context():
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"""
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Provide a sample context for confidence checking tests
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Returns:
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Dict with test context including various checks
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"""
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return {
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"test_name": "test_sample_feature",
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"test_file": __file__,
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"duplicate_check_complete": True,
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"architecture_check_complete": True,
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"official_docs_verified": True,
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"oss_reference_complete": True,
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"root_cause_identified": True,
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"markers": ["unit", "confidence_check"],
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}
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@pytest.fixture
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def low_confidence_context():
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"""
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Provide a context that should result in low confidence
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Returns:
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Dict with incomplete checks
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"""
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return {
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"test_name": "test_unclear_feature",
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"test_file": __file__,
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"duplicate_check_complete": False,
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"architecture_check_complete": False,
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"official_docs_verified": False,
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"oss_reference_complete": False,
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"root_cause_identified": False,
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"markers": ["unit"],
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}
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@pytest.fixture
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def sample_implementation():
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"""
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Provide a sample implementation for self-check validation
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Returns:
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Dict with implementation details
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"""
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return {
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"tests_passed": True,
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"test_output": "✅ 5 tests passed in 0.42s",
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"requirements": ["Feature A", "Feature B", "Feature C"],
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"requirements_met": ["Feature A", "Feature B", "Feature C"],
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"assumptions": ["API returns JSON", "Database is PostgreSQL"],
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"assumptions_verified": ["API returns JSON", "Database is PostgreSQL"],
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"evidence": {
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"test_results": "✅ All tests passing",
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"code_changes": ["file1.py", "file2.py"],
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"validation": "Linting passed, type checking passed",
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},
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"status": "complete",
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}
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@pytest.fixture
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def failing_implementation():
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"""
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Provide a failing implementation for self-check validation
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Returns:
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Dict with failing implementation details
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"""
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return {
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"tests_passed": False,
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"test_output": "",
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"requirements": ["Feature A", "Feature B", "Feature C"],
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"requirements_met": ["Feature A"],
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"assumptions": ["API returns JSON", "Database is PostgreSQL"],
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"assumptions_verified": ["API returns JSON"],
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"evidence": {},
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"status": "complete",
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"errors": ["TypeError in module X"],
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}
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@pytest.fixture
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def temp_memory_dir(tmp_path):
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"""
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Create temporary memory directory structure for PM Agent tests
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Args:
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tmp_path: pytest's temporary path fixture
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Returns:
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Path to temporary memory directory
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"""
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memory_dir = tmp_path / "docs" / "memory"
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memory_dir.mkdir(parents=True)
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# Create empty memory files
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(memory_dir / "pm_context.md").write_text("# PM Context\n")
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(memory_dir / "last_session.md").write_text("# Last Session\n")
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(memory_dir / "next_actions.md").write_text("# Next Actions\n")
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(memory_dir / "reflexion.jsonl").write_text("")
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return memory_dir
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