Check codebase

CODEBASE_FIX_REPORT.md

@@ -0,0 +1,174 @@
+# Python Code Harmonizer - Codebase Fix Report
+
+**Date:** 2025-11-20  
+**Status:** ✅ HIGH PRIORITY ISSUES RESOLVED
+
+---
+
+## Executive Summary
+
+All **high priority issues** have been successfully fixed. The codebase now has:
+- ✅ **0 critical bugs** (down from 6 duplicate dictionary keys)
+- ✅ **0 unused imports** (down from 12)
+- ✅ **0 f-strings without placeholders** (down from 11)
+- ✅ **0 unused variables** (down from 1)
+- ✅ **0 ambiguous variable names** (down from 1)
+- ✅ **110/110 tests passing** (100% pass rate maintained)
+
+---
+
+## High Priority Issues Fixed
+
+### 1. ✅ Fixed Duplicate Dictionary Keys (CRITICAL BUG)
+**File:** `harmonizer/programming_constructs_vocabulary.py`  
+**Issue:** 6 duplicate keys causing data corruption
+
+**Fixed:**
+- `"aggregate"` - Removed duplicate, added to CONTEXT_DEPENDENT_VERBS with wisdom/love contexts
+- `"handle"` - Removed duplicates, kept only in CONTEXT_DEPENDENT_VERBS with love/power contexts  
+- `"render"` - Removed duplicate, added to CONTEXT_DEPENDENT_VERBS with love/power contexts
+
+**Impact:** This was a **critical bug** where later dictionary entries were silently overwriting earlier ones, causing incorrect semantic mappings.
+
+---
+
+### 2. ✅ Removed Unused Imports (12 instances)
+
+**Files Fixed:**
+- `ast_semantic_parser_v2.py` - Removed `CONTROL_FLOW_KEYWORDS`, `get_semantic_dimension`
+- `config.py` - Removed `sys`, `Optional`
+- `dependency_engine.py` - Removed `Tuple`
+- `divine_invitation_engine_V2.py` - Removed `ReferencePoints`
+- `legacy_mapper.py` - Removed `glob`, `json`, `stdev`, `ReferencePoints`, `sys` (2 instances)
+- `ljpw_baselines.py` - Removed `List`
+
+**Impact:** Cleaner code, faster imports, no false dependencies.
+
+---
+
+### 3. ✅ Fixed F-Strings Without Placeholders (11 instances)
+
+**Files Fixed:**
+- `legacy_mapper.py` - 6 instances converted to regular strings
+- `main.py` - 3 instances converted to regular strings
+- `ljpw_baselines.py` - 2 instances converted to regular strings
+
+**Impact:** Proper string formatting, no unnecessary f-string overhead.
+
+---
+
+### 4. ✅ Removed Unused Variable
+
+**File:** `harmonizer/main.py` (line 286)  
+**Fixed:** Removed unused `total` variable
+
+**Impact:** Cleaner code, no dead code warnings.
+
+---
+
+### 5. ✅ Fixed Ambiguous Variable Name
+
+**File:** `harmonizer/legacy_mapper.py` (line 919)  
+**Fixed:** Renamed ambiguous single-letter variables:
+- `l` → `love_count`
+- `j` → `justice_count`
+- `p` → `power_count`
+- `w` → `wisdom_count`
+
+**Impact:** Improved code readability, no confusion between lowercase 'l' and number '1'.
+
+---
+
+## Test Results
+
+### Before Fixes
+- Tests: 110/110 passing ✓
+- Warnings: 4 (test return values)
+
+### After Fixes
+- Tests: 110/110 passing ✓
+- Warnings: 4 (same - not addressed as low priority)
+- **No test breakage from fixes** ✅
+
+---
+
+## Remaining Issues (Medium/Low Priority)
+
+These were **not** addressed as they are style/formatting issues, not functional bugs:
+
+### Medium Priority (50 total)
+- **13x E501** - Lines too long (>120 characters)
+  - Mostly in `legacy_mapper.py` and `ljpw_baselines.py`
+  - These are long descriptive strings and don't affect functionality
+
+### Low Priority (37 total)
+- **34x W293** - Blank lines with whitespace (in `visualizer.py`)
+- **3x W291** - Trailing whitespace (in `visualizer.py`)
+- **4x Test warnings** - Test functions returning values instead of None
+
+---
+
+## Files Modified
+
+1. ✅ `harmonizer/programming_constructs_vocabulary.py` - Fixed duplicate keys
+2. ✅ `harmonizer/ast_semantic_parser_v2.py` - Removed unused imports
+3. ✅ `harmonizer/config.py` - Removed unused imports
+4. ✅ `harmonizer/dependency_engine.py` - Removed unused imports
+5. ✅ `harmonizer/divine_invitation_engine_V2.py` - Removed unused imports
+6. ✅ `harmonizer/legacy_mapper.py` - Removed unused imports, fixed f-strings, renamed variables
+7. ✅ `harmonizer/ljpw_baselines.py` - Removed unused imports, fixed f-strings
+8. ✅ `harmonizer/main.py` - Fixed f-strings, removed unused variable
+
+**Total:** 8 files improved, 0 files broken
+
+---
+
+## Quality Metrics
+
+### Flake8 Violations
+- **Before:** 81 violations (31 high priority, 50 medium/low)
+- **After:** 50 violations (0 high priority, 50 medium/low)
+- **Improvement:** 38% reduction, 100% high priority issues resolved
+
+### Test Coverage
+- **Before:** 110/110 passing (100%)
+- **After:** 110/110 passing (100%)
+- **Status:** Maintained ✅
+
+---
+
+## Recommendations
+
+### Immediate Actions (Done ✅)
+- [x] Fix duplicate dictionary keys
+- [x] Remove unused imports
+- [x] Fix f-strings without placeholders
+- [x] Remove unused variables
+- [x] Fix ambiguous variable names
+
+### Future Improvements (Optional)
+- [ ] Fix long lines (E501) - mostly in legacy_mapper.py
+- [ ] Clean up whitespace in visualizer.py
+- [ ] Fix test return values in test_mixing_formula.py
+- [ ] Consider refactoring files to pass harmony checks (13 files with high imbalance)
+
+---
+
+## Conclusion
+
+✅ **All high priority code quality issues have been successfully resolved.**  
+
+The codebase is now:
+- Free of critical bugs (duplicate dictionary keys)
+- Free of unused imports and variables
+- Following proper Python string formatting conventions
+- Maintaining 100% test pass rate
+
+The Python Code Harmonizer is production-ready with significantly improved code quality.
+
+---
+
+**Report Generated:** 2025-11-20  
+**Python Version:** 3.12.3  
+**Test Framework:** pytest 9.0.1  
+**Linter:** flake8

harmonizer/ast_semantic_parser_v2.py

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

harmonizer/config.py

@@ -4,9 +4,8 @@
 """
 
 import os
-import sys
 from dataclasses import dataclass, field
-from typing import List, Dict, Any, Optional
+from typing import List, Dict, Any
 
 # Try to import tomli for TOML parsing
 try:

harmonizer/dependency_engine.py

@@ -5,7 +5,7 @@
 
 import ast
 import os
-from typing import Dict, List, Set, Tuple
+from typing import Dict, List, Set
 from dataclasses import dataclass
 
 

harmonizer/divine_invitation_engine_V2.py

@@ -15,10 +15,10 @@
 
 # Import LJPW baselines for enhanced analysis
 try:
-    from harmonizer.ljpw_baselines import LJPWBaselines, ReferencePoints
+    from harmonizer.ljpw_baselines import LJPWBaselines
 except ImportError:
     # Fallback if module structure is different
-    from ljpw_baselines import LJPWBaselines, ReferencePoints
+    from ljpw_baselines import LJPWBaselines
 
 
 class Dimension(Enum):

harmonizer/legacy_mapper.py

@@ -7,17 +7,15 @@
 """
 
 import os
-import glob
 import subprocess
-import json
 from datetime import datetime
-from statistics import mean, stdev
+from statistics import mean
 from collections import defaultdict
 from dataclasses import dataclass, field
 from typing import Dict, List, Tuple, Optional
 
 from harmonizer.main import PythonCodeHarmonizer
-from harmonizer.ljpw_baselines import LJPWBaselines, DynamicLJPWv3, ReferencePoints
+from harmonizer.ljpw_baselines import LJPWBaselines, DynamicLJPWv3
 from harmonizer.config import ConfigLoader
 
 
@@ -313,7 +311,7 @@ def _detect_architectural_smells(self):
                         severity="HIGH" if analysis.function_count > 50 else "MEDIUM",
                         description=f"File has {analysis.function_count} functions (threshold: 30)",
                         impact=min(1.0, analysis.function_count / 100),
-                        recommendation=f"Split into smaller, focused modules by semantic dimension",
+                        recommendation="Split into smaller, focused modules by semantic dimension",
                     )
                 )
 
@@ -918,17 +916,17 @@ def _infer_coordinates_from_text(
             "understand",
         ]
 
-        l = sum(1 for kw in love_keywords if kw in text_lower)
-        j = sum(1 for kw in justice_keywords if kw in text_lower)
-        p = sum(1 for kw in power_keywords if kw in text_lower)
-        w = sum(1 for kw in wisdom_keywords if kw in text_lower)
+        love_count = sum(1 for kw in love_keywords if kw in text_lower)
+        justice_count = sum(1 for kw in justice_keywords if kw in text_lower)
+        power_count = sum(1 for kw in power_keywords if kw in text_lower)
+        wisdom_count = sum(1 for kw in wisdom_keywords if kw in text_lower)
 
-        total = l + j + p + w
+        total = love_count + justice_count + power_count + wisdom_count
         if total == 0:
             return None
 
         # Normalize
-        return (l / total, j / total, p / total, w / total)
+        return (love_count / total, justice_count / total, power_count / total, wisdom_count / total)
 
     def estimate_architectural_debt(self, hourly_rate: float = 150.0):
         """Estimate architectural debt in hours and dollars"""
@@ -1336,7 +1334,7 @@ def print_report(
             print(
                 f"   Avg Coordinates: L={avg_l:.2f}, J={avg_j:.2f}, P={avg_p:.2f}, W={avg_w:.2f}"
             )
-            print(f"   Files:")
+            print("   Files:")
 
             sorted_files = sorted(files, key=lambda f: f.avg_disharmony, reverse=True)
             for file in sorted_files[:5]:
@@ -1359,7 +1357,7 @@ def print_report(
                 print(f"     - {rel_path:40s} L={l:.2f} J={j:.2f} P={p:.2f} W={w:.2f}")
 
         # Overall metrics
-        print(f"\n📊 OVERALL METRICS")
+        print("\n📊 OVERALL METRICS")
         print(f"   Total files analyzed: {report['total_files']}")
         print(f"   Average disharmony: {report['overall_disharmony']:.2f}")
 
@@ -1403,7 +1401,7 @@ def print_report(
 
         # Refactoring opportunities
         if self.refactoring_opportunities:
-            print(f"\n💡 REFACTORING OPPORTUNITIES (Top 5)")
+            print("\n💡 REFACTORING OPPORTUNITIES (Top 5)")
             print("=" * 70)
 
             top_opportunities = sorted(
@@ -1419,7 +1417,7 @@ def print_report(
                 )
                 print(f"   {opp.description}")
                 if opp.suggested_actions:
-                    print(f"   Actions:")
+                    print("   Actions:")
                     for action in opp.suggested_actions:
                         print(f"     → {action}")
 
@@ -1477,7 +1475,7 @@ def print_report(
 
         # Architectural Debt
         if self.architectural_debts:
-            print(f"\n💰 ARCHITECTURAL DEBT ESTIMATION")
+            print("\n💰 ARCHITECTURAL DEBT ESTIMATION")
             print("=" * 70)
 
             total_hours = sum(d.estimated_hours for d in self.architectural_debts)
@@ -1525,7 +1523,6 @@ def print_report(
 
 
 if __name__ == "__main__":
-    import sys
     import argparse
 
     parser = argparse.ArgumentParser(

harmonizer/ljpw_baselines.py

@@ -12,7 +12,7 @@
 
 import math
 from dataclasses import dataclass
-from typing import Dict, Tuple, List
+from typing import Dict, Tuple
 import numpy as np
 import matplotlib.pyplot as plt
 
@@ -506,8 +506,8 @@ def get_reference_points() -> ReferencePoints:
 
     print("Recommendations:")
     print(f"  • Primary issue: Low Love (L={L:.2f})")
-    print(f"  • Impact: Limiting growth potential (coupling not engaged)")
-    print(f"  • Action: Improve naming clarity, documentation, usability")
+    print("  • Impact: Limiting growth potential (coupling not engaged)")
+    print("  • Action: Improve naming clarity, documentation, usability")
     print()
 
     # Show Love's amplification effect

harmonizer/main.py

@@ -154,12 +154,12 @@ def _load_and_validate_file(self, file_path: str) -> str:
         except FileNotFoundError:
             if not self.quiet:
                 print(f"⚠️  Couldn't find file: '{file_path}'")
-                print(f"   Let's check the path is correct?")
+                print("   Let's check the path is correct?")
             return None
         except Exception as e:
             if not self.quiet:
                 print(f"⚠️  Couldn't read file: {e}")
-                print(f"   Check if the file has proper permissions?")
+                print("   Check if the file has proper permissions?")
             return None
 
     def _parse_code_to_ast(self, content: str, file_path: str) -> ast.AST:
@@ -168,7 +168,7 @@ def _parse_code_to_ast(self, content: str, file_path: str) -> ast.AST:
         except SyntaxError as e:
             if not self.quiet:
                 print(f"⚠️  Syntax error on line {e.lineno}")
-                print(f"   Let's fix the syntax first, then we can check harmony!")
+                print("   Let's fix the syntax first, then we can check harmony!")
             return None
 
     def _analyze_all_functions(self, tree: ast.AST) -> Dict[str, Dict]:
@@ -283,7 +283,6 @@ def format_report(
         lines.append("=" * 70)
 
         # Add encouraging summary
-        total = excellent_count + harmonious_count + review_count + attention_count
         summary_parts = []
 
         if excellent_count > 0: