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Merge pull request #64 from BruinGrowly/cursor/check-codebase-2629
Check codebase
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CODEBASE_FIX_REPORT.md

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# Python Code Harmonizer - Codebase Fix Report
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**Date:** 2025-11-20
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**Status:** ✅ HIGH PRIORITY ISSUES RESOLVED
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---
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## Executive Summary
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All **high priority issues** have been successfully fixed. The codebase now has:
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-**0 critical bugs** (down from 6 duplicate dictionary keys)
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-**0 unused imports** (down from 12)
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-**0 f-strings without placeholders** (down from 11)
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-**0 unused variables** (down from 1)
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-**0 ambiguous variable names** (down from 1)
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-**110/110 tests passing** (100% pass rate maintained)
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---
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## High Priority Issues Fixed
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### 1. ✅ Fixed Duplicate Dictionary Keys (CRITICAL BUG)
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**File:** `harmonizer/programming_constructs_vocabulary.py`
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**Issue:** 6 duplicate keys causing data corruption
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**Fixed:**
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- `"aggregate"` - Removed duplicate, added to CONTEXT_DEPENDENT_VERBS with wisdom/love contexts
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- `"handle"` - Removed duplicates, kept only in CONTEXT_DEPENDENT_VERBS with love/power contexts
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- `"render"` - Removed duplicate, added to CONTEXT_DEPENDENT_VERBS with love/power contexts
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**Impact:** This was a **critical bug** where later dictionary entries were silently overwriting earlier ones, causing incorrect semantic mappings.
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---
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### 2. ✅ Removed Unused Imports (12 instances)
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**Files Fixed:**
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- `ast_semantic_parser_v2.py` - Removed `CONTROL_FLOW_KEYWORDS`, `get_semantic_dimension`
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- `config.py` - Removed `sys`, `Optional`
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- `dependency_engine.py` - Removed `Tuple`
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- `divine_invitation_engine_V2.py` - Removed `ReferencePoints`
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- `legacy_mapper.py` - Removed `glob`, `json`, `stdev`, `ReferencePoints`, `sys` (2 instances)
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- `ljpw_baselines.py` - Removed `List`
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**Impact:** Cleaner code, faster imports, no false dependencies.
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---
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### 3. ✅ Fixed F-Strings Without Placeholders (11 instances)
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**Files Fixed:**
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- `legacy_mapper.py` - 6 instances converted to regular strings
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- `main.py` - 3 instances converted to regular strings
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- `ljpw_baselines.py` - 2 instances converted to regular strings
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**Impact:** Proper string formatting, no unnecessary f-string overhead.
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---
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### 4. ✅ Removed Unused Variable
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**File:** `harmonizer/main.py` (line 286)
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**Fixed:** Removed unused `total` variable
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**Impact:** Cleaner code, no dead code warnings.
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---
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### 5. ✅ Fixed Ambiguous Variable Name
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**File:** `harmonizer/legacy_mapper.py` (line 919)
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**Fixed:** Renamed ambiguous single-letter variables:
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- `l``love_count`
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- `j``justice_count`
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- `p``power_count`
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- `w``wisdom_count`
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**Impact:** Improved code readability, no confusion between lowercase 'l' and number '1'.
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---
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## Test Results
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### Before Fixes
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- Tests: 110/110 passing ✓
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- Warnings: 4 (test return values)
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### After Fixes
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- Tests: 110/110 passing ✓
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- Warnings: 4 (same - not addressed as low priority)
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- **No test breakage from fixes**
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---
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## Remaining Issues (Medium/Low Priority)
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These were **not** addressed as they are style/formatting issues, not functional bugs:
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### Medium Priority (50 total)
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- **13x E501** - Lines too long (>120 characters)
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- Mostly in `legacy_mapper.py` and `ljpw_baselines.py`
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- These are long descriptive strings and don't affect functionality
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### Low Priority (37 total)
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- **34x W293** - Blank lines with whitespace (in `visualizer.py`)
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- **3x W291** - Trailing whitespace (in `visualizer.py`)
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- **4x Test warnings** - Test functions returning values instead of None
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---
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## Files Modified
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1.`harmonizer/programming_constructs_vocabulary.py` - Fixed duplicate keys
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2.`harmonizer/ast_semantic_parser_v2.py` - Removed unused imports
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3.`harmonizer/config.py` - Removed unused imports
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4.`harmonizer/dependency_engine.py` - Removed unused imports
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5.`harmonizer/divine_invitation_engine_V2.py` - Removed unused imports
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6.`harmonizer/legacy_mapper.py` - Removed unused imports, fixed f-strings, renamed variables
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7.`harmonizer/ljpw_baselines.py` - Removed unused imports, fixed f-strings
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8.`harmonizer/main.py` - Fixed f-strings, removed unused variable
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**Total:** 8 files improved, 0 files broken
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---
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## Quality Metrics
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### Flake8 Violations
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- **Before:** 81 violations (31 high priority, 50 medium/low)
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- **After:** 50 violations (0 high priority, 50 medium/low)
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- **Improvement:** 38% reduction, 100% high priority issues resolved
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### Test Coverage
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- **Before:** 110/110 passing (100%)
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- **After:** 110/110 passing (100%)
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- **Status:** Maintained ✅
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---
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## Recommendations
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### Immediate Actions (Done ✅)
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- [x] Fix duplicate dictionary keys
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- [x] Remove unused imports
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- [x] Fix f-strings without placeholders
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- [x] Remove unused variables
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- [x] Fix ambiguous variable names
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### Future Improvements (Optional)
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- [ ] Fix long lines (E501) - mostly in legacy_mapper.py
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- [ ] Clean up whitespace in visualizer.py
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- [ ] Fix test return values in test_mixing_formula.py
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- [ ] Consider refactoring files to pass harmony checks (13 files with high imbalance)
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---
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## Conclusion
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**All high priority code quality issues have been successfully resolved.**
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The codebase is now:
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- Free of critical bugs (duplicate dictionary keys)
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- Free of unused imports and variables
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- Following proper Python string formatting conventions
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- Maintaining 100% test pass rate
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The Python Code Harmonizer is production-ready with significantly improved code quality.
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---
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**Report Generated:** 2025-11-20
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**Python Version:** 3.12.3
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**Test Framework:** pytest 9.0.1
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**Linter:** flake8

harmonizer/ast_semantic_parser_v2.py

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@@ -22,9 +22,7 @@
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from harmonizer.programming_constructs_vocabulary import (
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PROGRAMMING_VERBS,
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CONTROL_FLOW_KEYWORDS,
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COMPOUND_PATTERNS,
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get_semantic_dimension,
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)
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harmonizer/config.py

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"""
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import os
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import sys
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from dataclasses import dataclass, field
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from typing import List, Dict, Any, Optional
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from typing import List, Dict, Any
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# Try to import tomli for TOML parsing
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try:

harmonizer/dependency_engine.py

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import ast
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import os
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from typing import Dict, List, Set, Tuple
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from typing import Dict, List, Set
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from dataclasses import dataclass
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harmonizer/divine_invitation_engine_V2.py

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# Import LJPW baselines for enhanced analysis
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try:
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from harmonizer.ljpw_baselines import LJPWBaselines, ReferencePoints
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from harmonizer.ljpw_baselines import LJPWBaselines
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except ImportError:
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# Fallback if module structure is different
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from ljpw_baselines import LJPWBaselines, ReferencePoints
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from ljpw_baselines import LJPWBaselines
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class Dimension(Enum):

harmonizer/legacy_mapper.py

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"""
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import os
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import glob
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import subprocess
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import json
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from datetime import datetime
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from statistics import mean, stdev
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from statistics import mean
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from collections import defaultdict
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from dataclasses import dataclass, field
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from typing import Dict, List, Tuple, Optional
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from harmonizer.main import PythonCodeHarmonizer
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from harmonizer.ljpw_baselines import LJPWBaselines, DynamicLJPWv3, ReferencePoints
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from harmonizer.ljpw_baselines import LJPWBaselines, DynamicLJPWv3
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from harmonizer.config import ConfigLoader
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severity="HIGH" if analysis.function_count > 50 else "MEDIUM",
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description=f"File has {analysis.function_count} functions (threshold: 30)",
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impact=min(1.0, analysis.function_count / 100),
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recommendation=f"Split into smaller, focused modules by semantic dimension",
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recommendation="Split into smaller, focused modules by semantic dimension",
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)
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)
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"understand",
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]
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l = sum(1 for kw in love_keywords if kw in text_lower)
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j = sum(1 for kw in justice_keywords if kw in text_lower)
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p = sum(1 for kw in power_keywords if kw in text_lower)
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w = sum(1 for kw in wisdom_keywords if kw in text_lower)
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love_count = sum(1 for kw in love_keywords if kw in text_lower)
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justice_count = sum(1 for kw in justice_keywords if kw in text_lower)
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power_count = sum(1 for kw in power_keywords if kw in text_lower)
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wisdom_count = sum(1 for kw in wisdom_keywords if kw in text_lower)
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total = l + j + p + w
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total = love_count + justice_count + power_count + wisdom_count
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if total == 0:
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return None
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# Normalize
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return (l / total, j / total, p / total, w / total)
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return (love_count / total, justice_count / total, power_count / total, wisdom_count / total)
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def estimate_architectural_debt(self, hourly_rate: float = 150.0):
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"""Estimate architectural debt in hours and dollars"""
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print(
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f" Avg Coordinates: L={avg_l:.2f}, J={avg_j:.2f}, P={avg_p:.2f}, W={avg_w:.2f}"
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)
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print(f" Files:")
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print(" Files:")
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sorted_files = sorted(files, key=lambda f: f.avg_disharmony, reverse=True)
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for file in sorted_files[:5]:
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print(f" - {rel_path:40s} L={l:.2f} J={j:.2f} P={p:.2f} W={w:.2f}")
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# Overall metrics
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print(f"\n📊 OVERALL METRICS")
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print("\n📊 OVERALL METRICS")
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print(f" Total files analyzed: {report['total_files']}")
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print(f" Average disharmony: {report['overall_disharmony']:.2f}")
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# Refactoring opportunities
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if self.refactoring_opportunities:
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print(f"\n💡 REFACTORING OPPORTUNITIES (Top 5)")
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print("\n💡 REFACTORING OPPORTUNITIES (Top 5)")
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print("=" * 70)
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top_opportunities = sorted(
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)
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print(f" {opp.description}")
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if opp.suggested_actions:
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print(f" Actions:")
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print(" Actions:")
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for action in opp.suggested_actions:
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print(f" → {action}")
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# Architectural Debt
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if self.architectural_debts:
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print(f"\n💰 ARCHITECTURAL DEBT ESTIMATION")
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print("\n💰 ARCHITECTURAL DEBT ESTIMATION")
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print("=" * 70)
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total_hours = sum(d.estimated_hours for d in self.architectural_debts)
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if __name__ == "__main__":
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import sys
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import argparse
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parser = argparse.ArgumentParser(

harmonizer/ljpw_baselines.py

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import math
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from dataclasses import dataclass
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from typing import Dict, Tuple, List
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from typing import Dict, Tuple
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import numpy as np
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import matplotlib.pyplot as plt
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print("Recommendations:")
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print(f" • Primary issue: Low Love (L={L:.2f})")
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print(f" • Impact: Limiting growth potential (coupling not engaged)")
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print(f" • Action: Improve naming clarity, documentation, usability")
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print(" • Impact: Limiting growth potential (coupling not engaged)")
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print(" • Action: Improve naming clarity, documentation, usability")
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print()
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# Show Love's amplification effect

harmonizer/main.py

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except FileNotFoundError:
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if not self.quiet:
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print(f"⚠️ Couldn't find file: '{file_path}'")
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print(f" Let's check the path is correct?")
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print(" Let's check the path is correct?")
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return None
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except Exception as e:
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if not self.quiet:
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print(f"⚠️ Couldn't read file: {e}")
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print(f" Check if the file has proper permissions?")
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print(" Check if the file has proper permissions?")
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return None
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def _parse_code_to_ast(self, content: str, file_path: str) -> ast.AST:
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except SyntaxError as e:
169169
if not self.quiet:
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print(f"⚠️ Syntax error on line {e.lineno}")
171-
print(f" Let's fix the syntax first, then we can check harmony!")
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print(" Let's fix the syntax first, then we can check harmony!")
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return None
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def _analyze_all_functions(self, tree: ast.AST) -> Dict[str, Dict]:
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lines.append("=" * 70)
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285285
# Add encouraging summary
286-
total = excellent_count + harmonious_count + review_count + attention_count
287286
summary_parts = []
288287

289288
if excellent_count > 0:

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