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chore: Post-release updates - Test generation and enhancements
Includes comprehensive test coverage improvements, CLI enhancements, dashboard updates, and documentation additions from v5.1.0 development. Major additions: - Behavioral test generation scripts and automation - 10+ batches of generated tests (7,000+ lines) - Enhanced CLI commands and utilities - Dashboard telemetry improvements - Documentation for batch testing - Test utilities and monitoring scripts Files: 414 changed, 149,656 insertions, 2,073 deletions
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.claude/commands/testing.md

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@@ -32,6 +32,7 @@ Testing operations powered by Socratic agents that help you understand failures
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/testing # Interactive menu
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/testing run # Run tests with guided failure analysis
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/testing coverage # Coverage analysis with risk prioritization
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/testing generate # Batch generate tests to boost coverage
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/testing tdd # Test-driven development guidance
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/testing benchmark # Performance benchmarking
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```
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---
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## Generate Tests
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**Agent:** `test-writer` | **Workflow:** `test_gen_parallel`
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AI-powered batch test generation to rapidly achieve high coverage.
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**Invoke:**
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```bash
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/testing generate # Interactive batch generation
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/testing generate --module path.py # Generate for specific module
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/testing generate --batch --top 50 # Batch generate for 50 modules
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/testing generate --parallel 20 # Process 20 modules in parallel
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```
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**The test-writer agent will:**
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1. Analyze your codebase for low-coverage modules
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2. Use AST parsing to extract classes, methods, and functions
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3. Generate test templates in parallel (cheap tier - fast)
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4. Complete test implementations with AI (capable tier - quality)
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5. Validate and save runnable tests
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**How it works:**
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```
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1. Discovery (cheap tier)
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└─> Scan coverage data, find modules <80% coverage
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2. Template Generation (cheap tier, parallel)
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└─> AST parse → Extract structure → Generate test scaffolds
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└─> Process 10-50 modules simultaneously
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3. Test Completion (capable tier, parallel)
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└─> Add test data → Write assertions → Mock dependencies
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└─> Generate complete, runnable tests
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4. Validation & Save
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└─> Verify syntax → Check imports → Save to tests/behavioral/generated/
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```
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**Examples:**
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```bash
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# Generate tests for a specific module
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/testing generate --module src/empathy_os/config.py
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# Batch generate for top 200 low-coverage modules
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/testing generate --batch --top 200 --parallel 10
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# Focus on critical modules only
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/testing generate --batch --top 50 --min-coverage 0 --max-coverage 50
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```
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**Output:**
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```
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🔍 Discovering top 200 modules with lowest coverage...
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📋 Found 200 modules to process
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⚡ Processing in batches of 10...
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✅ Generated: tests/behavioral/generated/test_config_behavioral.py
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✅ Generated: tests/behavioral/generated/test_memory_behavioral.py
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...
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================================================================================
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✅ COMPLETED: 200 test files
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❌ ERRORS: 0 modules
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📁 Location: tests/behavioral/generated/
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================================================================================
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```
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**Philosophy:** Instead of manually writing hundreds of tests, let AI generate comprehensive test suites in parallel. The system uses multi-tier LLM orchestration: cheap models for fast template generation, capable models for quality test completion.
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**Coverage targets:**
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- First batch (top 50): Raise coverage from ~2% to ~40%
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- Second batch (next 50): Push to ~60%
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- Third batch (next 100): Reach ~85%
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- Manual refinement: Polish to 90%+ or even 99.9%
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---
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## TDD Workflow
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**Agent:** `test-writer` | **Workflow:** `test_gen`
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|-------|-------|----------|-------------|
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| `/testing run` | test-writer | test_runner | Running tests, understanding failures |
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| `/testing coverage` | quality-validator | test_coverage_boost | Finding and prioritizing coverage gaps |
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| `/testing generate` | test-writer | test_gen_parallel | Batch generating tests to boost coverage |
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| `/testing tdd` | test-writer | test_gen | Writing tests before code |
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| `/testing maintenance` | quality-validator | test_maintenance | Cleaning up test suite |
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| `/testing benchmark` | performance-analyst | (benchmarking) | Performance testing |
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## When to Use Each Skill
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```text
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Tests are failing → /testing run
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Need more test coverage → /testing coverage
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Building new feature with TDD → /testing tdd
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Test suite is messy/slow → /testing maintenance
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Checking for performance issues → /testing benchmark
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Tests are failing → /testing run
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Need more test coverage → /testing coverage
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Want to rapidly boost coverage to 90%+ → /testing generate
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Building new feature with TDD → /testing tdd
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Test suite is messy/slow → /testing maintenance
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Checking for performance issues → /testing benchmark
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```
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.coverage 2

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.coveragerc

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# Coverage.py configuration for Empathy Framework
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# Phase 1 Test Coverage Improvement (Jan 2026)
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[run]
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source = src/empathy_os
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omit =
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*/tests/*
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*/test_*.py
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*/__pycache__/*
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*/site-packages/*
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*/dist-packages/*
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*/venv/*
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*/.venv/*
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*/env/*
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source = src
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parallel = false
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concurrency = thread
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[report]
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# Minimum coverage threshold
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# Phase 1 target: 53% (baseline)
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# Phase 2 target: 75%
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fail_under = 53
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# Show lines that need coverage
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show_missing = True
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# Include branch coverage
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precision = 2
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# Exclude certain lines from coverage
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exclude_lines =
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# Have to re-enable the standard pragma
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pragma: no cover
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# Don't complain about missing debug-only code
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def __repr__
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def __str__
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# Don't complain if tests don't hit defensive assertion code
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raise AssertionError
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raise NotImplementedError
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# Don't complain if non-runnable code isn't run
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if __name__ == .__main__.:
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if TYPE_CHECKING:
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if typing.TYPE_CHECKING:
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# Don't complain about abstract methods
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@abstractmethod
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@abc.abstractmethod
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# Don't complain about protocol methods
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@overload
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\.\.\.$
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show_missing = true
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skip_covered = false
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[html]
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directory = htmlcov
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[xml]
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output = coverage.xml
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# Module-specific targets (aspirational for Phase 2)
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# These are documented goals, not enforced
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# scanner.py: 81.52% (exceeds target!)
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# long_term.py: Target 78%
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# cli.py: Target 85%
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# cache: Target 82%
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# workflows: Target 85%

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