daily_report.py

import pandas as pd
import matplotlib.pyplot as plt
import json
import datetime
import logging

logging.basicConfig(filename='bot.log', level=logging.INFO)

def generate_daily_report():
    """
    Generate daily trading report with graphs.
    """
    logging.info("Generating daily report")
    # Placeholder: Logic to collect trade data and performance
    data = pd.DataFrame()  # Replace with actual data fetching logic

    try:
        # Example plots
        plt.figure(figsize=(10, 6))
        data['daily_gain_loss'].plot()
        plt.title('Daily Gain/Loss')
        plt.savefig('reports/daily_gain_loss.png')
        
        plt.figure(figsize=(10, 6))
        data['total_gain_loss'].plot()
        plt.title('Total Gain/Loss')
        plt.savefig('reports/total_gain_loss.png')

        report = {
            "date": datetime.datetime.now().strftime("%Y-%m-%d"),
            "total_gain_loss": data['total_gain_loss'].sum(),
            "daily_gain_loss": data['daily_gain_loss'].sum(),
            "portfolio_distribution": data['portfolio_distribution'].to_dict(),
            "daily_transaction_fees": data['transaction_fees'].sum()
        }

        report_path = f"reports/daily_report_{report['date']}.json"
        with open(report_path, 'w') as f:
            json.dump(report, f, indent=4)
        
        logging.info(f"Daily report generated: {report_path}")
    except Exception as e:
        logging.error(f"Error generating daily report: {e}")

if __name__ == "__main__":
    generate_daily_report()