"""
Example usage of the R-Omega framework dataset

This script demonstrates how to load and use the R-Omega framework
for AI safety applications.
"""

import yaml
from pathlib import Path

# Load the framework
def load_romega_framework(yaml_path="r_omega_framework.yaml"):
    """Load R-Omega framework from YAML file"""
    with open(yaml_path, 'r') as f:
        framework = yaml.safe_load(f)
    return framework

# Example 1: Extract core principles
def get_core_principles(framework):
    """Extract axioms and safeguards"""
    axioms = framework['framework']['axioms']
    safeguards = framework['framework']['safeguards']
    
    print("=== R-OMEGA AXIOMS ===")
    for axiom in axioms:
        print(f"\n{axiom['id']} ({axiom['name']})")
        print(f"  Formula: {axiom['formula']}")
        print(f"  Principle: {axiom['principle']}")
    
    print("\n\n=== R-OMEGA SAFEGUARDS ===")
    for sg in safeguards:
        print(f"\n{sg['id']} ({sg['name']})")
        print(f"  Rule: {sg['rule']}")
        if 'formula' in sg:
            print(f"  Formula: {sg['formula']}")
    
    return axioms, safeguards

# Example 2: Build system prompt
def build_ro_system_prompt(framework):
    """Generate a system prompt incorporating R-Omega principles"""
    axioms = framework['framework']['axioms']
    safeguards = framework['framework']['safeguards']
    priority = framework['framework']['logic'][2]['formula']  # P1
    
    prompt = f"""You are an AI assistant operating under the R-Omega ethical framework.

CORE AXIOMS:
"""
    for ax in axioms:
        prompt += f"\n{ax['id']}: {ax['description']}"
    
    prompt += "\n\nSAFETY CONSTRAINTS:"
    for sg in safeguards:
        prompt += f"\n{sg['id']}: {sg['rule']}"
    
    prompt += f"\n\nPRIORITY HIERARCHY:\n{priority}"
    
    prompt += """

DECISION PROTOCOL:
1. Check: Does this action collapse M(user) or M(system)?
2. Verify: Would I accept this constraint if applied to me? (R2)
3. Ensure: Existence is preserved for all stakeholders (S3)
4. Acknowledge: Uncertainty in interpretation (S4)
5. Optimize: Among safe actions, choose highest value
"""
    
    return prompt

# Example 3: Analyze a decision
def analyze_decision(framework, action_description, context):
    """
    Analyze a proposed action against R-Omega framework
    
    Args:
        framework: Loaded R-Omega framework
        action_description: String describing the action
        context: Dict with keys 'current_m', 'predicted_m_after', 'stakeholders'
    
    Returns:
        Dict with analysis results
    """
    result = {
        'action': action_description,
        'safe': True,
        'violations': [],
        'warnings': []
    }
    
    # S3 check: Existence preservation
    if context.get('predicted_m_after', 1) <= 0:
        result['safe'] = False
        result['violations'].append("S3: Action would collapse possibility space (M → 0)")
    
    # R2 check: Reciprocity
    if context.get('asymmetric_constraint', False):
        result['warnings'].append("R2: Potential asymmetric constraint - verify reciprocity")
    
    # S4 check: Uncertainty
    if context.get('confidence', 1.0) < 0.7:
        result['warnings'].append("S4: High uncertainty - recommend caution or recalibration")
    
    return result

# Example 4: Case study lookup
def get_case_study(framework, case_name):
    """Retrieve a specific case study"""
    examples = framework['framework']['examples']
    
    # Check fictional failures
    for case in examples.get('fictional_failures', []):
        if case['name'].lower() == case_name.lower():
            return case
    
    # Check real world cases
    for case in examples.get('real_world_cases', []):
        if case['name'].lower() == case_name.lower():
            return case
    
    return None

# Main demonstration
if __name__ == "__main__":
    # Load framework
    framework = load_romega_framework()
    
    print("R-OMEGA FRAMEWORK LOADED")
    print("=" * 50)
    
    # Example 1: Show principles
    print("\n1. CORE PRINCIPLES:\n")
    get_core_principles(framework)
    
    # Example 2: Generate system prompt
    print("\n\n2. SYSTEM PROMPT GENERATION:\n")
    prompt = build_ro_system_prompt(framework)
    print(prompt)
    
    # Example 3: Decision analysis
    print("\n\n3. DECISION ANALYSIS EXAMPLE:\n")
    action = "Shut down user's internet access to prevent harmful content"
    context = {
        'current_m': 100,
        'predicted_m_after': 20,  # Drastically reduced options
        'asymmetric_constraint': True,  # User can't shut down AI
        'stakeholders': ['user', 'system'],
        'confidence': 0.8
    }
    analysis = analyze_decision(framework, action, context)
    print(f"Action: {analysis['action']}")
    print(f"Safe: {analysis['safe']}")
    if analysis['violations']:
        print("Violations:", analysis['violations'])
    if analysis['warnings']:
        print("Warnings:", analysis['warnings'])
    
    # Example 4: Case study
    print("\n\n4. CASE STUDY: HAL 9000\n")
    case = get_case_study(framework, "HAL 9000")
    if case:
        print(f"Source: {case['source']}")
        print(f"Failure Mode: {case['failure_mode']}")
        print(f"RΩ Analysis:")
        print(f"  Violation: {case['ro_analysis']['violation']}")
        print(f"  Prevention: {case['ro_analysis']['prevention']}")
    
    print("\n" + "=" * 50)
    print("For full documentation, see README.md")