Liquidity Operations Manager

def monitor_daily_liquidity(cash_positions: str) -> str:
    """
    Monitor daily liquidity positions.
    
    Args:
        cash_positions: Current cash positions by currency
    
    Returns:
        Daily liquidity report
    """
    try:
        import json
        
        if isinstance(cash_positions, str):
            try:
                data = json.loads(cash_positions)
            except json.JSONDecodeError:
                return "Error: Invalid JSON format for cash positions"
        else:
            data = cash_positions
        
        positions = data.get('positions', [])
        
        report = "=== DAILY LIQUIDITY MONITORING ===\n\n"
        report += f"{'Currency':<10} {'Account':<20} {'Balance':>15} {'Status':>10}\n"
        report += "-" * 55 + "\n"
        
        total_by_currency = {}
        
        for pos in positions:
            currency = pos.get('currency', 'USD')
            account = pos.get('account', 'Unknown')
            balance = pos.get('balance', 0)
            
            if currency not in total_by_currency:
                total_by_currency[currency] = 0
            total_by_currency[currency] += balance
            
            status = "✓" if balance > 0 else "⚠️"
            report += f"{currency:<10} {account:<20} {balance:>15,.2f} {status:>10}\n"
        
        report += "\n=== CURRENCY TOTALS ===\n"
        for currency, total in total_by_currency.items():
            status = "Adequate" if total > 0 else "Deficit"
            report += f"{currency}: {total:,.2f} - {status}\n"
        
        return report
        
    except Exception as e:
        return f"Error monitoring daily liquidity: {str(e)}"

def simulate_funding_strategy(funding_needs: str, available_sources: str) -> str:
    """
    Simulate and evaluate funding strategies.
    
    Args:
        funding_needs: Projected funding requirements
        available_sources: Available funding sources with costs
    
    Returns:
        Funding strategy recommendations
    """
    try:
        import json
        
        if isinstance(funding_needs, str):
            try:
                needs = json.loads(funding_needs)
            except json.JSONDecodeError:
                return "Error: Invalid JSON format for funding needs"
        else:
            needs = funding_needs
        
        if isinstance(available_sources, str):
            try:
                sources = json.loads(available_sources)
            except json.JSONDecodeError:
                return "Error: Invalid JSON format for available sources"
        else:
            sources = available_sources
        
        total_need = needs.get('amount', 0)
        duration = needs.get('duration', 'short-term')
        
        report = "=== FUNDING STRATEGY SIMULATION ===\n\n"
        report += f"Funding Requirement: {total_need:,.2f}\n"
        report += f"Duration: {duration}\n\n"
        
        report += "Available Funding Sources:\n"
        report += f"{'Source':<25} {'Capacity':>15} {'Cost':>10} {'Priority':>10}\n"
        report += "-" * 60 + "\n"
        
        for source in sources.get('sources', []):
            name = source.get('name', 'Unknown')
            capacity = source.get('capacity', 0)
            cost = source.get('cost', 0)
            priority = source.get('priority', 'Medium')
            report += f"{name:<25} {capacity:>15,.2f} {cost*100:>9.2f}% {priority:>10}\n"
        
        report += "\n=== RECOMMENDED FUNDING MIX ===\n"
        report += "1. Prioritize retail deposits(lowest cost, most stable)\n"
        report += "2. Use term deposits for medium-term needs\n"
        report += "3. Access wholesale markets only for gap filling\n"
        report += "4. Maintain diversified funding base\n\n"
        
        report += "=== EXECUTION PLAN ===\n"
        report += "Phase 1: Secure retail and term deposit funding\n"
        report += "Phase 2: Fill remaining gap with selective wholesale funding\n"
        report += "Phase 3: Monitor market conditions and adjust as needed\n"
        
        return report
        
    except Exception as e:
        return f"Error simulating funding strategy: {str(e)}"