import json

import click

from .risk import risk


def not_implemented(command_name):
    """Standard message for not implemented commands"""
    click.echo(f"⚠️  Command '{command_name}' is not implemented yet")
    click.echo("   This functionality is under development")


def load_json_file(filepath):
    """Load and validate JSON file"""
    try:
        with open(filepath, "r") as f:
            return json.load(f)
    except FileNotFoundError:
        click.echo(f"Error: File '{filepath}' not found")
        raise click.Abort()
    except json.JSONDecodeError:
        click.echo(f"Error: Invalid JSON in file '{filepath}'")
        raise click.Abort()


@click.group()
def optimization():
    """Portfolio optimization commands"""
    pass


@optimization.group()
def plot():
    """Plot optimization data"""
    pass


@optimization.group()
def calc():
    """Calculate optimization metrics"""
    pass


@optimization.group()
def print():
    """Print optimization information"""
    pass


@optimization.group()
def optimize():
    """Optimize portfolio"""
    pass


@optimization.group()
def export():
    """Export optimization data"""
    pass


@optimization.group()
def backtest():
    """Backtest optimization strategies"""
    pass


# Add risk command
optimization.add_command(risk)


# Plot commands
@plot.command()
@click.argument("file", type=click.Path(exists=True))
def composition(file):
    """Plot current portfolio composition (by weight or sector)"""
    data = load_json_file(file)
    not_implemented("optimization plot composition")


@plot.command()
@click.argument("file", type=click.Path(exists=True))
def frontier(file):
    """Plot efficient frontier (based on variance and expected return)"""
    data = load_json_file(file)
    not_implemented("optimization plot frontier")


@plot.command("correlation-matrix")
@click.argument("file", type=click.Path(exists=True))
def correlation_matrix(file):
    """Plot correlation matrix between assets"""
    data = load_json_file(file)
    not_implemented("optimization plot correlation-matrix")


# Calc commands
@calc.command()
@click.argument("file", type=click.Path(exists=True))
def var(file):
    """Calculate and show Value at Risk (VaR)"""
    data = load_json_file(file)
    not_implemented("optimization calc var")


# Print commands
@print.command()
@click.argument("file", type=click.Path(exists=True))
def sharpe(file):
    """Show Sharpe ratio for the portfolio"""
    data = load_json_file(file)
    not_implemented("optimization print sharpe")


@print.command("stats-summary")
@click.argument("file", type=click.Path(exists=True))
def stats_summary(file):
    """Show statistical summary of all assets"""
    data = load_json_file(file)
    not_implemented("optimization print stats-summary")


@print.command("risk-allocation")
@click.argument("file", type=click.Path(exists=True))
def risk_allocation(file):
    """Show risk contribution by asset"""
    data = load_json_file(file)
    not_implemented("optimization print risk-allocation")


# Export commands
@export.command()
@click.argument("file", type=click.Path(exists=True))
def weights(file):
    """Export current or suggested weights"""
    data = load_json_file(file)
    not_implemented("optimization export weights")


# Backtest commands
@backtest.command("equal-weight")
@click.argument("file", type=click.Path(exists=True))
def equal_weight(file):
    """Simulate how the watchlist would have evolved with equal weights"""
    data = load_json_file(file)
    not_implemented("optimization backtest equal-weight")
