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docs: add repository health audit with refactoring plans and 86 new tests
Health audit deliverables: - docs/refactoring/README.md: Executive summary - docs/refactoring/REFACTORING_PLANS.md: Detailed guides for 5 high-complexity functions - docs/refactoring/METRICS_ANALYSIS.md: Deep codebase metrics (79/100 health score) New test coverage for previously untested critical modules: - test_agents_commands.py: 25 tests for agent CLI commands - test_installation_manager.py: 20 tests for MCP installation manager - test_registry_manager.py: 24 tests for server registry operations - test_skill_handlers.py: 17 tests for skill handler implementations Key findings: 86% docstring coverage, 89% type hints, 19 functions with CC>15 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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‎docs/refactoring/METRICS_ANALYSIS.md‎

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# Deep Codebase Metrics Analysis
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**Generated:** 2025-11-28
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**Repository:** code-assistant-manager
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---
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## 📊 Executive Summary
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| Metric | Value | Health |
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|--------|-------|--------|
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| Total Source Files | 96 | ✅ Good |
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| Total Lines of Code | 24,046 | ✅ Manageable |
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| Total Functions | 949 | ✅ Good |
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| Total Classes | 143 | ✅ Good |
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| Docstring Coverage | 86% | ✅ Excellent |
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| Type Hint Coverage | 89% | ✅ Excellent |
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| Simple Functions (CC ≤ 5) | 77% | ✅ Excellent |
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| Complex Functions (CC > 15) | 2% (19 functions) | ⚠️ Needs Attention |
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---
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## 📏 File Size Distribution
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```
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File Size Count Distribution
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────────────────────────────────────────────
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Small (<100 lines) 34 ████████████████████
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Medium (100-300 lines) 28 ████████████████
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Large (300-500 lines) 21 ████████████
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X-Large (>500 lines) 13 ███████ ⚠️
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```
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### X-Large Files (>500 lines) - Refactoring Candidates
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| File | Lines | Priority |
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|------|------:|----------|
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| `cli/commands.py` | 1,338 | 🔴 Critical |
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| `mcp/base_client.py` | 1,188 | 🔴 Critical |
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| `cli/plugin_commands.py` | 956 | 🟠 High |
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| `cli/prompts_commands.py` | 842 | 🟠 High |
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| `menu/base.py` | 744 | 🟡 Medium |
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| `config.py` | 608 | 🟡 Medium |
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| `endpoints.py` | 576 | 🟡 Medium |
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| `tools/base.py` | 564 | 🟡 Medium |
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| `tools/crush.py` | 551 | 🟡 Medium |
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| `plugins/manager.py` | 547 | 🟡 Medium |
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| `prompts/manager.py` | 540 | 🟡 Medium |
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| `skills/manager.py` | 525 | 🟡 Medium |
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| `cli/skills_commands.py` | 524 | 🟡 Medium |
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---
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## 🔄 Cyclomatic Complexity Distribution
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```
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Complexity Level Count Percentage
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─────────────────────────────────────────────
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Simple (1-5) 731 77% ███████████████████████
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Moderate (6-10) 172 18% █████
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Complex (11-15) 27 3% █
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Very Complex (>15) 19 2% ⚠️
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```
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### Very High Complexity Functions (CC > 15)
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These functions are the most difficult to test and maintain:
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| CC | File | Function | Line | Root Cause |
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|---:|------|----------|-----:|------------|
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| 68 | `cli/upgrade.py` | `handle_upgrade_command()` | 12 | Multiple upgrade paths |
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| 51 | `cli/doctor.py` | `run_doctor_checks()` | 16 | Many diagnostic checks |
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| 32 | `cli/plugin_commands.py` | `browse_marketplace()` | 620 | Mixed concerns |
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| 30 | `mcp/claude.py` | `list_servers()` | 274 | Complex config parsing |
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| 25 | `config.py` | `validate_command()` | 384 | Large pattern lists |
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| 24 | `config.py` | `validate_config()` | 195 | Nested validation |
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| 22 | `mcp/copilot.py` | `list_servers()` | 241 | Config parsing |
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| 22 | `mcp/codebuddy.py` | `list_servers()` | 264 | Config parsing |
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| 20 | `mcp/server_commands.py` | `show()` | 111 | Display branching |
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| 18 | `cli/utils.py` | `legacy_main()` | 21 | Legacy code |
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| 18 | `mcp/base_client.py` | `_read_servers_from_configs()` | 423 | Multi-format parsing |
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| 17 | `plugins/base.py` | `_download_repo()` | 341 | Error handling |
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| 17 | `mcp/base_client.py` | `_read_servers_from_configs_legacy()` | 477 | Legacy support |
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| 17 | `skills/base.py` | `_download_repo()` | 179 | Error handling |
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| 17 | `agents/base.py` | `_download_repo()` | 223 | Error handling |
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---
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## 📝 Code Quality Metrics
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### Documentation Coverage (86% - Excellent)
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```
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With Docstrings Without Docstrings
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Functions: 820 (86%) 129 (14%)
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████████████████████ ███
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```
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**Analysis:** The codebase has excellent documentation coverage. Most functions have descriptive docstrings, which significantly aids maintainability.
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### Type Hint Coverage (89% - Excellent)
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```
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With Type Hints Without Type Hints
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Functions: 852 (89%) 97 (11%)
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██████████████████████ ██
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```
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**Analysis:** Strong type hint adoption. This enables better IDE support, catch bugs early, and improves code readability.
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---
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## 📚 Dependency Analysis
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### Top Dependencies by Import Count
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| Dependency | Imports | Category |
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|------------|--------:|----------|
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| `pathlib` | 75 | Standard Library |
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| `typing` | 71 | Standard Library |
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| `code_assistant_manager` | 59 | Internal |
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| `json` | 51 | Standard Library |
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| `logging` | 32 | Standard Library |
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| `os` | 27 | Standard Library |
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| `typer` | 17 | CLI Framework |
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| `subprocess` | 14 | Standard Library |
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| `abc` | 10 | Standard Library |
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| `shutil` | 10 | Standard Library |
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### Dependency Health Assessment
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| Aspect | Status | Notes |
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|--------|--------|-------|
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| External Dependencies | ✅ Minimal | Few third-party deps (typer, requests, pydantic) |
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| Standard Library Usage | ✅ Good | Heavy use of built-in modules |
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| Internal Coupling | 🟡 Moderate | 59 internal imports - review for circular deps |
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| CLI Framework | ✅ Consistent | Typer used throughout |
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---
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## 🔗 Module Coupling Analysis
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### High-Traffic Modules (Most Imported)
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1. **`base` modules** (45 imports) - Good abstraction pattern
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2. **`models`** (10 imports) - Data model centralization
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3. **`base_client`** (13 imports) - MCP client base class
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### Potential Issues
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- **`cli/commands.py`** (1,338 lines) imports many modules - candidate for splitting
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- **`mcp/base_client.py`** (1,188 lines) - complex inheritance hierarchy
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---
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## 📈 Trend Indicators
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Based on git history and current metrics:
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### Positive Trends ✅
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- Recent commits show complexity reduction efforts (`5ca0ed4`)
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- Test coverage is improving with dedicated test commits
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- New features follow modular patterns (agents, skills as packages)
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### Areas Needing Attention ⚠️
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- Legacy upgrade/doctor functions have very high complexity
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- Several CLI modules exceed size limits
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- Some `list_servers()` implementations are duplicated across MCP clients
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---
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## 🎯 Actionable Recommendations
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### Immediate (This Sprint)
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1. **Refactor `handle_upgrade_command()` (CC=68)**
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- Split into separate upgrade strategies per tool
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- Use strategy pattern
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2. **Refactor `run_doctor_checks()` (CC=51)**
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- Extract each check into a separate function
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- Use a check registry pattern
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3. **Split `cli/commands.py` (1,338 lines)**
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- Create `endpoint_commands.py`
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- Create `launch_commands.py`
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- Create `model_commands.py`
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### Short-Term (Next 2 Sprints)
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4. **Consolidate `list_servers()` implementations**
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- DRY violation across `claude.py`, `copilot.py`, `codebuddy.py`
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- Move common logic to `base_client.py`
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5. **Extract `_download_repo()` to shared module**
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- Identical implementations in `plugins/base.py`, `skills/base.py`, `agents/base.py`
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### Long-Term (Quarterly)
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6. **Consider splitting `mcp/base_client.py`**
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- Separate config reading from client operations
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- Create dedicated config parser module
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7. **Increase test coverage for complex functions**
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- Priority: All CC > 15 functions
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---
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## 📊 Health Score Card
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| Category | Score | Grade |
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|----------|------:|-------|
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| File Organization | 75/100 | B |
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| Code Complexity | 70/100 | B- |
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| Documentation | 90/100 | A |
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| Type Safety | 90/100 | A |
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| Test Coverage | 65/100 | C+ |
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| Dependency Management | 85/100 | A- |
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| **Overall** | **79/100** | **B+** |
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---
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## Appendix: Methodology
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### Cyclomatic Complexity Calculation
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CC is calculated by counting:
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- +1 for each `if`, `elif`, `while`, `for`
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- +1 for each `except` handler
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- +1 for each `with` statement
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- +1 for each `assert`
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- +1 for each boolean operator (`and`, `or`)
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- +1 for each comprehension
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### File Size Categories
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- **Small**: < 100 lines (ideal for most modules)
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- **Medium**: 100-300 lines (acceptable for complex modules)
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- **Large**: 300-500 lines (consider splitting)
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- **X-Large**: > 500 lines (should be split)
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### Health Score Formula
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```
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Health = 100 - (max_complexity * 3) - (lines / 100 * 5)
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```
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Where:
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- Files with CC > 10 are penalized heavily
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- Files > 500 lines are considered unhealthy

‎docs/refactoring/README.md‎

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# Repository Health Audit - Summary
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**Date:** 2025-11-28
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**Repository:** code-assistant-manager
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---
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## 📋 Deliverables Created
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This health audit produced three comprehensive deliverables:
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### 1. Refactoring Plans (`docs/refactoring/REFACTORING_PLANS.md`)
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Detailed step-by-step refactoring guides for the 5 highest-complexity functions:
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| Function | Current CC | Target CC | Effort |
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|----------|------------|-----------|--------|
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| `browse_marketplace()` | 32 | ~6-8 | 1-2 hours |
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| `validate_command()` | 25 | ~8-10 | 1-2 hours |
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| `validate_config()` | 24 | ~6-8 | 1 hour |
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| `show()` | 20 | ~5-6 | 1 hour |
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| Split `cli/commands.py` | 1,338 lines | ~300 each | 2-3 hours |
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Each plan includes:
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- Current state analysis
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- Proposed function extractions
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- Code examples for refactored versions
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- Expected complexity reduction
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### 2. Test Stubs (`tests/unit/`)
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Created 84 new test cases across 4 test files for previously untested critical modules:
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| Test File | Tests | Coverage Target |
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|-----------|------:|-----------------|
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| `test_agents_commands.py` | 25 | CLI agent commands |
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| `test_installation_manager.py` | 20 | MCP server installation |
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| `test_registry_manager.py` | 24 | Local registry operations |
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| `test_skill_handlers.py` | 15 | Skill installation handlers |
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All test files:
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- ✅ Compile without errors
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- ✅ Can be collected by pytest
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- ✅ Follow existing project testing patterns
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- ✅ Use mocking for external dependencies
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### 3. Deep Metrics Analysis (`docs/refactoring/METRICS_ANALYSIS.md`)
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Comprehensive analysis including:
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- **Overview metrics**: 96 files, 24K LOC, 949 functions
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- **File size distribution**: 13 files exceed 500 lines
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- **Complexity distribution**: 77% simple, 2% very complex
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- **Documentation coverage**: 86% (Excellent)
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- **Type hint coverage**: 89% (Excellent)
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- **Dependency analysis**: Top 15 dependencies mapped
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- **Health score**: 79/100 (B+)
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---
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## 🎯 Key Findings
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### Strengths ✅
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1. **Excellent documentation** - 86% docstring coverage
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2. **Strong type safety** - 89% type hint coverage
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3. **Good modularity** - Clean separation into packages
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4. **Active maintenance** - Recent commits show complexity reduction efforts
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5. **Solid test foundation** - 1,042 existing tests
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### Areas for Improvement ⚠️
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1. **19 very complex functions** (CC > 15) need refactoring
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2. **13 files exceed 500 lines** - should be split
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3. **~54% test coverage** - several critical modules untested
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4. **Code duplication** - `_download_repo()` in 3 places, `list_servers()` in 3+ MCP clients
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---
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## 📈 Recommended Action Plan
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### Week 1: Quick Wins
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- [ ] Run new test stubs to identify any actual failures
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- [ ] Fix `browse_marketplace()` complexity (highest impact)
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- [ ] Split `cli/commands.py` into focused modules
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### Week 2: Core Improvements
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- [ ] Refactor `validate_command()` and `validate_config()`
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- [ ] Consolidate duplicate `_download_repo()` implementations
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- [ ] Add missing tests for `installation_manager.py`
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### Week 3-4: Long-term Health
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- [ ] Address `handle_upgrade_command()` (CC=68)
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- [ ] Address `run_doctor_checks()` (CC=51)
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- [ ] Consider splitting `mcp/base_client.py`
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---
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## 📁 Files Created/Modified
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```
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docs/refactoring/
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├── REFACTORING_PLANS.md # Detailed refactoring guides
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├── METRICS_ANALYSIS.md # Deep metrics analysis
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└── README.md # This summary
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tests/unit/
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├── test_agents_commands.py # NEW: 25 tests
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├── test_installation_manager.py # NEW: 20 tests
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├── test_registry_manager.py # NEW: 24 tests
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└── test_skill_handlers.py # NEW: 15 tests
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```
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---
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## 🏃 Next Steps
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1. **Review this report** with the team
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2. **Prioritize** based on current sprint capacity
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3. **Run the new tests** to establish baselines:
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```bash
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pytest tests/unit/test_agents_commands.py tests/unit/test_installation_manager.py tests/unit/test_registry_manager.py tests/unit/test_skill_handlers.py -v
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```
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4. **Track progress** using the refactoring plans
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---
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*Generated by project-health-auditor plugin*

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