IB Analytics MCP Server

"""Console report generator""" from rich.console import Console from rich.panel import Panel from rich.table import Table from ib_sec_mcp.analyzers.base import AnalysisResult from ib_sec_mcp.reports.base import BaseReport class ConsoleReport(BaseReport): """ Generate formatted console report using Rich Provides beautiful console output with tables and formatting """ def __init__(self, results: list[AnalysisResult]): """Initialize console report""" super().__init__(results) self.console = Console() def render(self) -> str: """Render report to console""" for result in self.results: analyzer_name = result.get("analyzer", "Unknown") # Create section header header = f"📊 {analyzer_name.upper()} ANALYSIS" self.console.print(f"\n{'=' * 80}", style="bold blue") self.console.print(header, style="bold blue") self.console.print(f"{'=' * 80}\n", style="bold blue") # Render based on analyzer type if analyzer_name == "Performance": self._render_performance(result) elif analyzer_name == "Cost": self._render_cost(result) elif analyzer_name == "Bond": self._render_bond(result) elif analyzer_name == "Tax": self._render_tax(result) elif analyzer_name == "Risk": self._render_risk(result) else: self._render_generic(result) return "" def save(self, filepath: str) -> None: """Save report to file""" # Use Rich's export to HTML or text with open(filepath, "w") as f: # For now, just write a simple text version f.write("IB Analytics Report\n") f.write("=" * 80 + "\n\n") for result in self.results: f.write(f"{result.get('analyzer', 'Unknown')} Analysis\n") f.write("-" * 80 + "\n") for key, value in result.items(): if key not in ["analyzer", "timestamp"]: f.write(f"{key}: {value}\n") f.write("\n") def _render_performance(self, result: AnalysisResult) -> None: """Render performance analysis""" # Overall metrics table table = Table(title="Overall Performance Metrics", show_header=True) table.add_column("Metric", style="cyan") table.add_column("Value", style="green") table.add_row("Total Trades", str(result.get("total_trades", 0))) table.add_row("Total Positions", str(result.get("total_positions", 0))) table.add_row("Realized P&L", f"${result.get('total_realized_pnl', '0')}") table.add_row("Unrealized P&L", f"${result.get('total_unrealized_pnl', '0')}") table.add_row("Total P&L", f"${result.get('total_pnl', '0')}") table.add_row("", "") table.add_row("Win Rate", f"{result.get('win_rate', '0')}%") table.add_row("Winning Trades", str(result.get("winning_trades", 0))) table.add_row("Losing Trades", str(result.get("losing_trades", 0))) table.add_row("Profit Factor", result.get("profit_factor", "0")) table.add_row("", "") table.add_row("Average Win", f"${result.get('avg_win', '0')}") table.add_row("Average Loss", f"${result.get('avg_loss', '0')}") table.add_row("Risk/Reward Ratio", result.get("risk_reward_ratio", "0")) self.console.print(table) # By symbol breakdown by_symbol = result.get("by_symbol", {}) if by_symbol: self.console.print("\n📈 Performance by Symbol\n", style="bold") for symbol, data in by_symbol.items(): self.console.print(f"\n[bold]{symbol}[/bold]") self.console.print(f" Trades: {data['trade_count']}") self.console.print(f" Win Rate: {data['win_rate']}%") self.console.print(f" Profit Factor: {data['profit_factor']}") self.console.print(f" Realized P&L: ${data['realized_pnl']}") def _render_cost(self, result: AnalysisResult) -> None: """Render cost analysis""" table = Table(title="Cost Analysis", show_header=True) table.add_column("Metric", style="cyan") table.add_column("Value", style="yellow") table.add_row("Total Commissions", f"${result.get('total_commissions', '0')}") table.add_row("Total Volume", f"${result.get('total_volume', '0')}") table.add_row("Commission Rate", f"{result.get('commission_rate', '0')}%") table.add_row("Avg Commission/Trade", f"${result.get('avg_commission_per_trade', '0')}") table.add_row("", "") table.add_row("Commission Impact on P&L", f"{result.get('commission_impact_pct', '0')}%") self.console.print(table) def _render_bond(self, result: AnalysisResult) -> None: """Render bond analysis""" if not result.get("has_bonds"): self.console.print("No bond positions or trades found.", style="yellow") return # Current holdings holdings = result.get("current_holdings", []) if holdings: self.console.print("\n[bold]Current Bond Holdings[/bold]\n") for holding in holdings: panel = Panel( f"Symbol: {holding['symbol']}\n" f"Description: {holding.get('description', 'N/A')}\n" f"Value: ${holding['position_value']}\n" f"Unrealized P&L: ${holding['unrealized_pnl']} ({holding['unrealized_pnl_pct']}%)\n" f"Maturity: {holding.get('maturity_date', 'N/A')}\n" f"YTM: {holding['ytm']}%\n" f"Duration: {holding['duration']} years", title=holding["symbol"], border_style="green", ) self.console.print(panel) def _render_tax(self, result: AnalysisResult) -> None: """Render tax analysis""" table = Table(title=f"Tax Analysis (Rate: {result.get('tax_rate', '0')})", show_header=True) table.add_column("Item", style="cyan") table.add_column("Amount", style="red") table.add_row("Realized P&L", f"${result.get('total_realized_pnl', '0')}") table.add_row( "Estimated Capital Gains Tax", f"${result.get('estimated_capital_gains_tax', '0')}" ) table.add_row("", "") table.add_row("Phantom Income (OID)", f"${result.get('phantom_income_total', '0')}") table.add_row( "Estimated Phantom Income Tax", f"${result.get('estimated_phantom_income_tax', '0')}" ) table.add_row("", "") table.add_row( "[bold]Total Estimated Tax[/bold]", f"[bold]${result.get('total_estimated_tax', '0')}[/bold]", ) self.console.print(table) self.console.print(f"\n⚠️ {result.get('disclaimer', '')}", style="yellow italic") def _render_risk(self, result: AnalysisResult) -> None: """Render risk analysis""" if result.get("has_bond_exposure"): self.console.print("\n[bold]Interest Rate Risk Scenarios[/bold]\n") scenarios = result.get("interest_rate_scenarios", {}).get("scenarios", []) for scenario in scenarios: self.console.print(f"\n{scenario['scenario']}: {scenario['total_value_change']}") # Concentration concentration = result.get("concentration", {}) if concentration.get("top_positions"): self.console.print("\n[bold]Portfolio Concentration[/bold]\n") self.console.print( f"Max Concentration: {concentration.get('max_concentration', '0')}%\n" ) table = Table(show_header=True) table.add_column("Symbol") table.add_column("Value", justify="right") table.add_column("Allocation", justify="right") for pos in concentration["top_positions"][:5]: table.add_row( pos["symbol"], f"${pos['value']}", f"{pos['allocation_pct']}%", ) self.console.print(table) def _render_generic(self, result: AnalysisResult) -> None: """Render generic result""" for key, value in result.items(): if key not in ["analyzer", "timestamp", "is_multi_account"]: self.console.print(f"{key}: {value}")