import json
import click
from .risk import risk
[docs]
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")
[docs]
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")