┌─────────────────────────────────────────────────────────────────────────────┐
│                    WHY ETHICS MATTER IN BLOCKCHAIN                          │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    FINANCIAL IMPACT                                  │   │
│  │  Unethical behaviour can lead to financial losses for users.        │   │
│  │  Examples: Rug pulls, market manipulation, insider trading.         │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    REPUTATION                                        │   │
│  │  Blockchain industry reputation depends on ethical behaviour.       │   │
│  │  Scandals damage trust and adoption.                                │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    USER PROTECTION                                   │   │
│  │  Users are often less sophisticated investors.                      │   │
│  │  Ethical practices protect vulnerable participants.                 │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    SUSTAINABILITY                                    │   │
│  │  Blockchain must be environmentally and socially sustainable.       │   │
│  │  Ethical considerations include energy use and inequality.          │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    LONGEVITY                                         │   │
│  │  Ethical foundations ensure long-term viability of the industry.    │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

# ===================================================================
# MODULE 5, LESSON 8: ETHICS AND PROFESSIONAL STANDARDS
# ===================================================================

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from typing import Dict, List
import warnings
warnings.filterwarnings('ignore')

print("="*70)
print("ETHICS AND PROFESSIONAL STANDARDS")
print("="*70)

# ----------------------------------------------------------------
# PART A: ETHICAL DECISION-MAKING FRAMEWORK
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART A: Ethical Decision-Making Framework")
print("-"*60)

class EthicalDecisionMaker:
    """
    Simulated ethical decision-making framework.
    """
    def __init__(self, scenario: str):
        self.scenario = scenario
        self.assessments = []
        self.consequences = []
        self.decision = None
    
    def assess_stakeholders(self) -> Dict:
        """Identify stakeholders affected by the decision."""
        stakeholders = {
            'users': {'impact': 'High', 'concerns': 'Financial loss, privacy, trust'},
            'developers': {'impact': 'Medium', 'concerns': 'Reputation, legal liability'},
            'investors': {'impact': 'High', 'concerns': 'Financial loss, ROI'},
            'community': {'impact': 'Medium', 'concerns': 'Reputation, ecosystem health'},
            'regulators': {'impact': 'Low', 'concerns': 'Compliance, enforcement'}
        }
        self.assessments.append({
            'type': 'stakeholders',
            'data': stakeholders
        })
        return stakeholders
    
    def apply_ethical_principles(self) -> Dict:
        """Apply core ethical principles to the scenario."""
        principles = {
            'Integrity': {'question': 'Is this action honest and transparent?', 'score': 0},
            'Fairness': {'question': 'Does this treat all parties fairly?', 'score': 0},
            'Responsibility': {'question': 'Am I accountable for the consequences?', 'score': 0},
            'Respect': {'question': 'Does this respect user rights and dignity?', 'score': 0},
            'Beneficence': {'question': 'Does this do more good than harm?', 'score': 0}
        }
        self.assessments.append({
            'type': 'principles',
            'data': principles
        })
        return principles
    
    def evaluate_consequences(self) -> List[Dict]:
        """Evaluate potential consequences of each option."""
        consequences = [
            {'option': 'Proceed', 'positive': 'Efficiency, growth', 'negative': 'Potential harm, liability'},
            {'option': 'Modify', 'positive': 'Reduced risk, trust', 'negative': 'Slower, costs'},
            {'option': 'Abandon', 'positive': 'No risk', 'negative': 'Lost opportunity, stagnation'}
        ]
        self.consequences = consequences
        return consequences
    
    def recommend_decision(self) -> Dict:
        """Recommend a decision based on ethical analysis."""
        self.decision = {
            'recommendation': 'Proceed with modifications',
            'rationale': 'Balance between innovation and responsibility',
            'next_steps': [
                'Consult with stakeholders',
                'Implement safeguards',
                'Monitor outcomes',
                'Review regularly'
            ]
        }
        return self.decision
    
    def generate_report(self) -> Dict:
        """Generate an ethical assessment report."""
        return {
            'scenario': self.scenario,
            'stakeholders': self.assess_stakeholders(),
            'principles': self.apply_ethical_principles(),
            'consequences': self.consequences,
            'recommendation': self.decision,
            'timestamp': pd.Timestamp.now()
        }

# Simulate ethical decision-making
decision_maker = EthicalDecisionMaker("Launching a new DeFi lending protocol")

print("Ethical Decision-Making Analysis:")
print(f"Scenario: {decision_maker.scenario}\n")

# Analyse
stakeholders = decision_maker.assess_stakeholders()
print("Stakeholders:")
for stakeholder, details in stakeholders.items():
    print(f"  {stakeholder.upper()}: Impact={details['impact']}, Concerns={details['concerns']}")

principles = decision_maker.apply_ethical_principles()
print("\nEthical Principles:")
for principle, details in principles.items():
    print(f"  {principle}: {details['question']}")

consequences = decision_maker.evaluate_consequences()
print("\nConsequences:")
for consequence in consequences:
    print(f"  {consequence['option']}: +{consequence['positive']}, -{consequence['negative']}")

recommendation = decision_maker.recommend_decision()
print(f"\nRecommendation: {recommendation['recommendation']}")
print(f"Rationale: {recommendation['rationale']}")
print("Next Steps:")
for step in recommendation['next_steps']:
    print(f"  • {step}")

# ----------------------------------------------------------------
# PART B: PROFESSIONAL CODES OF CONDUCT
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART B: Professional Codes of Conduct")
print("-"*60)

code_data = {
    'Code': ['CIC Code of Ethics', 'IAC Code of Conduct', 'Crypto Council Standards', 'IEEE Standards'],
    'Scope': ['Crypto industry', 'Advisors/Consultants', 'General industry', 'Technical ethics'],
    'Key Principles': [
        'Integrity, transparency, fairness',
        'Loyalty, competence, confidentiality',
        'Responsible innovation, sustainability',
        'Safety, reliability, privacy'
    ],
    'Enforcement': ['Self-regulatory', 'Self-regulatory', 'Voluntary', 'Professional'
    ]
}

code_df = pd.DataFrame(code_data)
print(code_df.to_string(index=False))

# ----------------------------------------------------------------
# PART C: CONFLICT OF INTEREST FRAMEWORK
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART C: Conflict of Interest Management")
print("-"*60)

conflict_data = {
    'Type': ['Self-Dealing', 'Personal/Professional', 'Dual Roles', 'Client/Employer', 'Financial'],
    'Example': ['Insider trading', 'Competing projects', 'Advisor + Developer', 'Conflicting clients', 'Undisclosed compensation'],
    'Mitigation': ['Disclosure, recusal', 'Transparency', 'Separation', 'Confidentiality', 'Disclosure policies']
}

conflict_df = pd.DataFrame(conflict_data)
print(conflict_df.to_string(index=False))

# ----------------------------------------------------------------
# PART D: SUSTAINABILITY METRICS
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART D: Sustainability Metrics")
print("-"*60)

sustainability_data = {
    'Metric': ['Energy Consumption (kWh/tx)', 'Carbon Footprint (gCO2/tx)', 'E-waste Generation', 'Renewable Energy Usage'],
    'PoW (Bitcoin)': ['800', '400', 'High', '~25%'],
    'PoS (Ethereum)': ['0.01', '0.005', 'Low', '~40%'],
    'Target (2030)': ['<0.1', '<0.05', 'Near-zero', '>75%']
}

sustain_df = pd.DataFrame(sustainability_data)
print(sustain_df.to_string(index=False))

# Visualise
fig, ax = plt.subplots(figsize=(10, 5))
metrics = ['Energy Consumption (kWh/tx)', 'Carbon Footprint (gCO2/tx)']
pow_values = [800, 400]
pos_values = [0.01, 0.005]

x = np.arange(len(metrics))
width = 0.35

ax.bar(x - width/2, pow_values, width, label='PoW (Bitcoin)', color='red', alpha=0.7)
ax.bar(x + width/2, pos_values, width, label='PoS (Ethereum)', color='green', alpha=0.7)

ax.set_xlabel('Metric')
ax.set_ylabel('Value')
ax.set_title('Sustainability Comparison: PoW vs PoS')
ax.set_xticks(x)
ax.set_xticklabels(metrics)
ax.set_yscale('log')
ax.legend()
ax.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig('sustainability_metrics.png', dpi=300, bbox_inches='tight')
plt.show()
print("Sustainability chart saved as 'sustainability_metrics.png'")

# ----------------------------------------------------------------
# PART E: ETHICAL CHECKLIST
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART E: Personal/Professional Ethics Checklist")
print("-"*60)

ethics_checklist = {
    "Personal Integrity": [
        "Act with honesty and transparency",
        "Take responsibility for my actions",
        "Maintain professional competence",
        "Avoid conflicts of interest"
    ],
    "Professional Conduct": [
        "Respect confidentiality",
        "Treat all parties fairly",
        "Provide clear and accurate information",
        "Maintain professional boundaries"
    ],
    "Social Responsibility": [
        "Consider societal impact of technology",
        "Promote inclusion and access",
        "Advocate for responsible innovation",
        "Contribute to professional community"
    ],
    "Continuous Improvement": [
        "Stay updated on developments",
        "Learn from mistakes",
        "Seek feedback",
        "Mentor others"
    ]
}

for category, items in ethics_checklist.items():
    print(f"\n{category.upper()}:")
    for item in items:
        print(f"  □ {item}")

# ----------------------------------------------------------------
# PART F: SUMMARY AND RECOMMENDATIONS
# -----------------------------------------------------------------

print("\n" + "="*70)
print("PART F: Summary and Recommendations")
print("="*70)

print("""
Ethics and Professional Standards – Key Takeaways:

1. Ethics go beyond legal compliance to encompass fairness, responsibility, and transparency.
2. Core principles: integrity, competence, confidentiality, objectivity, professionalism, social responsibility.
3. Conflicts of interest must be disclosed and managed.
4. Sustainability: energy consumption, carbon footprint, electronic waste, renewable energy.
5. Professional codes of conduct guide ethical behaviour.
6. Responsible innovation: value-sensitive design, precautionary principle, inclusive design.

Recommendations:
  - Develop a personal code of ethics.
  - Disclose conflicts of interest promptly.
  - Consider the broader impact of your work.
  - Stay updated on professional standards.
  - Advocate for responsible innovation.
  - Mentor others in ethical practices.
  - Contribute to the professional community.
""")