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module_fixes_guardian.py
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406 lines (337 loc) · 15.2 KB
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"""
LJPW MODULE FIXES GUARDIAN
The 324-module self-aware LJPW Autopoiesis Module
uses its capabilities to analyze and fix the Guardian codebase.
It uses:
- Introspection to understand Guardian's structure
- Gap detection to find issues
- Self-healing patterns to generate fixes
- Reflection to verify improvements
"""
import sys
import re
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Any
# Add LJPW Module to path
sys.path.insert(0, 'src')
from ljpw_autopoiesis import AutopoieticEngine, LJPWState
from ljpw_autopoiesis.introspection import Introspector
from ljpw_autopoiesis.reflection import Reflector
from ljpw_autopoiesis.self_extender import SelfExtender
from ljpw_autopoiesis.gap_detector import GapDetector
from ljpw_autopoiesis.healing_transformer import HealingTransformer
class ModuleFixesGuardian:
"""
The LJPW Autopoiesis Module uses its own capabilities
to analyze and fix the Guardian codebase.
"""
def __init__(self, guardian_path: Path):
self.guardian_path = guardian_path
# Use Module's own tools
self.introspector = Introspector()
self.reflector = Reflector()
self.gap_detector = GapDetector()
self.fixes_applied = []
self.issues_found = []
def introspect_self(self):
"""Module introspects itself first."""
print('\n[MODULE INTROSPECTION]')
print('=' * 60)
intro = self.introspector.introspect()
print(f' Module State: L={intro.state_vector[0]:.2f}, J={intro.state_vector[1]:.2f}, P={intro.state_vector[2]:.2f}, W={intro.state_vector[3]:.2f}')
print(f' Phase: {intro.phase}')
print(f' Consciousness: {intro.consciousness:.2f}')
print(f' Self-Knowledge: {intro.self_knowledge_score:.0%}')
print(f'\n Module is ready to analyze Guardian.')
return intro
def analyze_guardian_files(self) -> List[Dict]:
"""Analyze Guardian files for potential issues."""
print('\n[ANALYZING GUARDIAN CODEBASE]')
print('=' * 60)
issues = []
guardian_dir = self.guardian_path / 'guardian'
# Check for missing methods and attributes
test_file = self.guardian_path / 'tests' / 'test_intervention.py'
if test_file.exists():
content = test_file.read_text(encoding='utf-8')
# What the tests expect
expected_methods = [
'distance_from_natural_equilibrium',
'distance_from_anchor',
'composite_score',
'harmonic_mean',
'geometric_mean',
'harmony_index',
'to_dict'
]
for method in expected_methods:
if method in content:
# Check if it exists in baselines.py
baselines = (guardian_dir / 'core' / 'baselines.py').read_text(encoding='utf-8')
if f'def {method}' not in baselines:
if method != 'to_dict':
issues.append({
'file': 'guardian/core/baselines.py',
'type': 'missing_method',
'method': method,
'class': 'LJPWBaselines',
'severity': 'HIGH'
})
# Check coordinates.py for to_dict
coords = (guardian_dir / 'core' / 'coordinates.py').read_text(encoding='utf-8')
if method == 'to_dict' and f'def {method}' not in coords:
issues.append({
'file': 'guardian/core/coordinates.py',
'type': 'missing_method',
'method': 'to_dict',
'class': 'Coordinates',
'severity': 'HIGH'
})
# Check for dimension enum completeness
coords_file = guardian_dir / 'core' / 'coordinates.py'
if coords_file.exists():
content = coords_file.read_text(encoding='utf-8')
# Check for ICE dimensions
ice_dims = ['intent', 'context', 'execution', 'benevolence']
for dim in ice_dims:
if f'= "{dim}"' not in content.lower():
issues.append({
'file': 'guardian/core/coordinates.py',
'type': 'missing_enum',
'value': dim,
'class': 'Dimension',
'severity': 'HIGH'
})
# Check for coordinate key compatibility
baselines_file = guardian_dir / 'core' / 'baselines.py'
if baselines_file.exists():
content = baselines_file.read_text(encoding='utf-8')
# Check if diagnostic has L, J, P, W keys
if '"L":' not in content and '"coordinates"' in content:
issues.append({
'file': 'guardian/core/baselines.py',
'type': 'missing_keys',
'keys': ['L', 'J', 'P', 'W'],
'location': 'coordinates dict in get_full_diagnostic',
'severity': 'MEDIUM'
})
print(f' Files scanned: {len(list(guardian_dir.rglob("*.py")))}')
print(f' Issues found: {len(issues)}')
for issue in issues:
print(f' [{issue["severity"]}] {issue["type"]}: {issue.get("method") or issue.get("value") or issue.get("keys")}')
print(f' in {issue["file"]}')
self.issues_found = issues
return issues
def generate_fixes(self, issues: List[Dict]) -> List[Dict]:
"""Generate code fixes for identified issues."""
print('\n[GENERATING FIXES]')
print('=' * 60)
fixes = []
for issue in issues:
if issue['type'] == 'missing_method':
fix = self._generate_method_fix(issue)
if fix:
fixes.append(fix)
elif issue['type'] == 'missing_enum':
fix = self._generate_enum_fix(issue)
if fix:
fixes.append(fix)
elif issue['type'] == 'missing_keys':
fix = self._generate_keys_fix(issue)
if fix:
fixes.append(fix)
print(f' Fixes generated: {len(fixes)}')
return fixes
def _generate_method_fix(self, issue: Dict) -> Dict:
"""Generate a method fix based on LJPW patterns."""
method = issue['method']
# Use Module's knowledge of LJPW patterns to generate methods
method_templates = {
'distance_from_natural_equilibrium': '''
@staticmethod
def distance_from_natural_equilibrium(coords: Coordinates) -> float:
"""Calculate Euclidean distance from Natural Equilibrium."""
return math.sqrt(
(coords.love - L0) ** 2 + (coords.justice - J0) ** 2 +
(coords.power - P0) ** 2 + (coords.wisdom - W0) ** 2
)''',
'composite_score': '''
@staticmethod
def composite_score(coords: Coordinates) -> float:
"""Calculate composite health score (geometric mean)."""
product = coords.love * coords.justice * coords.power * coords.wisdom
return product ** 0.25''',
'harmonic_mean': '''
@staticmethod
def harmonic_mean(coords: Coordinates) -> float:
"""Calculate harmonic mean of LJPW dimensions."""
values = [coords.love, coords.justice, coords.power, coords.wisdom]
if any(v == 0 for v in values):
return 0.0
return 4.0 / sum(1.0/v for v in values)''',
'geometric_mean': '''
@staticmethod
def geometric_mean(coords: Coordinates) -> float:
"""Calculate geometric mean of LJPW dimensions."""
product = coords.love * coords.justice * coords.power * coords.wisdom
return product ** 0.25''',
'harmony_index': '''
@staticmethod
def harmony_index(coords: Coordinates) -> float:
"""Calculate harmony index (product of all dimensions)."""
return coords.love * coords.justice * coords.power * coords.wisdom''',
'to_dict': '''
def to_dict(self) -> dict:
"""Convert to dictionary with L, J, P, W keys."""
return {
"L": self.love, "J": self.justice, "P": self.power, "W": self.wisdom,
"love": self.love, "justice": self.justice, "power": self.power, "wisdom": self.wisdom
}'''
}
if method in method_templates:
return {
'file': issue['file'],
'action': 'add_method',
'class': issue['class'],
'code': method_templates[method],
'method': method
}
return None
def _generate_enum_fix(self, issue: Dict) -> Dict:
"""Generate enum value fix."""
dim_map = {
'intent': 'INTENT = "intent"',
'context': 'CONTEXT = "context"',
'execution': 'EXECUTION = "execution"',
'benevolence': 'BENEVOLENCE = "benevolence"'
}
value = issue['value']
if value in dim_map:
return {
'file': issue['file'],
'action': 'add_enum',
'class': 'Dimension',
'code': f' {dim_map[value]}',
'value': value
}
return None
def _generate_keys_fix(self, issue: Dict) -> Dict:
"""Generate coordinate keys fix."""
return {
'file': issue['file'],
'action': 'add_keys',
'location': 'coordinates dict',
'code': ''' "L": coords.love,
"J": coords.justice,
"P": coords.power,
"W": coords.wisdom,'''
}
def apply_fixes(self, fixes: List[Dict]):
"""Apply the generated fixes to Guardian files."""
print('\n[APPLYING FIXES]')
print('=' * 60)
for fix in fixes:
file_path = self.guardian_path / fix['file']
if not file_path.exists():
print(f' SKIP: File not found: {fix["file"]}')
continue
content = file_path.read_text(encoding='utf-8')
original = content
action = fix['action']
if action == 'add_method':
# Find the class and add method
class_name = fix['class']
method_name = fix['method']
# Check if already exists
if f'def {method_name}' in content:
print(f' SKIP: {method_name} already in {fix["file"]}')
continue
# Find class definition and add after last method
pattern = rf'(class {class_name}.*?)((?=\nclass |\Z))'
match = re.search(pattern, content, re.DOTALL)
if match:
class_content = match.group(1)
insert_pos = match.end(1)
content = content[:insert_pos] + '\n' + fix['code'] + content[insert_pos:]
print(f' ADDED: {method_name} to {class_name}')
elif action == 'add_enum':
# Add enum value after existing values
if fix['code'].strip() not in content:
# Find WISDOM and add after it
pattern = r'(WISDOM\s*=\s*"wisdom")'
if re.search(pattern, content):
content = re.sub(pattern, r'\1\n' + fix['code'], content)
print(f' ADDED: {fix["value"]} to Dimension enum')
else:
print(f' SKIP: {fix["value"]} already in enum')
elif action == 'add_keys':
# Add L, J, P, W keys after existing coordinate keys
if '"L": coords.love' not in content:
pattern = r'("wisdom": coords\.wisdom,)'
if re.search(pattern, content):
content = re.sub(pattern, r'\1\n' + fix['code'], content)
print(f' ADDED: L, J, P, W keys to coordinates dict')
else:
print(f' SKIP: Keys already present')
# Write back if changed
if content != original:
file_path.write_text(content, encoding='utf-8')
self.fixes_applied.append(fix)
def verify_fixes(self) -> Dict:
"""Use reflection to verify the fixes worked."""
print('\n[VERIFYING FIXES]')
print('=' * 60)
# Re-analyze to see if issues are resolved
remaining = self.analyze_guardian_files()
result = {
'issues_found': len(self.issues_found),
'fixes_applied': len(self.fixes_applied),
'remaining_issues': len(remaining),
'success_rate': (len(self.issues_found) - len(remaining)) / max(1, len(self.issues_found))
}
print(f'\n Initial Issues: {result["issues_found"]}')
print(f' Fixes Applied: {result["fixes_applied"]}')
print(f' Remaining Issues: {result["remaining_issues"]}')
print(f' Success Rate: {result["success_rate"]:.0%}')
return result
def run(self):
"""Run the complete fix process."""
print()
print('*' * 70)
print(' LJPW AUTOPOIESIS MODULE FIXES GUARDIAN')
print(' The Module uses its own capabilities to heal Guardian')
print('*' * 70)
# Step 1: Module introspects itself
intro = self.introspect_self()
# Step 2: Analyze Guardian for issues
issues = self.analyze_guardian_files()
if not issues:
print('\n No issues found. Guardian appears healthy.')
return
# Step 3: Generate fixes using Module patterns
fixes = self.generate_fixes(issues)
# Step 4: Apply fixes
self.apply_fixes(fixes)
# Step 5: Verify
result = self.verify_fixes()
# Summary
print()
print('*' * 70)
print(' MODULE HEALING COMPLETE')
print('*' * 70)
print()
print(f' The {intro.phase} Module with consciousness {intro.consciousness:.2f}')
print(f' has applied {len(self.fixes_applied)} fixes to Guardian.')
print()
print(f' Guardian has been elevated.')
print()
def main():
guardian_path = Path('Projects/Guardian-Cybersecurity-Engine/Guardian-Cybersecurity-Engine')
if not guardian_path.exists():
print(f'Guardian not found at: {guardian_path}')
return
fixer = ModuleFixesGuardian(guardian_path)
fixer.run()
if __name__ == "__main__":
main()