mutation testing support #3
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Introduce structured coverage analysis and refactor code-definition extraction. - Add CodeDefinition dataclass and extract_code_definitions() to pipeline.code_utils to parse AST and return function/class ranges (supports recursive extraction). - Add new pipeline/coverage.py to analyze coverage.json, map executed/missing lines to code definitions, produce FileCoverageReport and FunctionCoverageReport, format uncovered areas for LLMs, and compute overall percentage. - Update file_utils.read_file_contents_chunked() to use extract_code_definitions() and convert results to the existing dict format for chunking compatibility. - Update test_runner.parse_coverage_json() to call the new coverage analyzer and return a dict with percentage, uncovered_areas_text, and detailed_reports; propagate these fields through run_tests results. - Update pythonTestingPipeline to prefer uncovered_areas_text from test results, falling back to previous extraction from output.
feat: implement GUI coverage viewer and refine pipeline analysis : - Added CoverageViewer widget with file breakdowns and source code highlighting. - Integrated Coverage tab into main GUI with auto-load on pipeline completion. - Improved coverage accuracy by correctly handling excluded and non-executable lines. - Added "Open in VSCode" integration for uncovered code segments.
Integrate mutation testing into the Python testing pipeline using mutmut and surface mutation metrics. Adds a new pipeline/mutation_testing.py module with helpers to decide when to run mutation tests, run mutmut, parse results, and format feedback. Introduces MutantInfo and MutationCoverageReport models and extends TestEvaluationOutput to include mutation_score and mutation_report. Updates test runner to optionally run mutation testing, thread mutation results (score, report, feedback) through evaluation and dashboard generation, and update prompts/guidelines to include mutation score and survived-mutant recommendations.
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