import numpy as np
import pandas as pd
import os
import sys
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt

def validate_dataset(dataset_dir):
    results = {"passed": True, "errors": [], "warnings": [], "metrics": {}}
    
    data_dir = os.path.join(dataset_dir, "data")
    if not os.path.exists(data_dir):
        results["passed"] = False
        results["errors"].append("Data directory not found")
        return results
    
    csv_files = [f for f in os.listdir(data_dir) if f.endswith(".csv")]
    if not csv_files:
        results["passed"] = False
        results["errors"].append("No CSV files found")
        return results
    
    full_df = pd.read_csv(os.path.join(data_dir, "phishing_full.csv"))
    
    required_cols = ["record_id", "country", "year", "attack_vector", 
                     "num_targets", "num_successful_compromises", 
                     "total_financial_loss_usd", "scenario"]
    missing = [c for c in required_cols if c not in full_df.columns]
    if missing:
        results["passed"] = False
        results["errors"].append(f"Missing columns: {missing}")
    
    if full_df["record_id"].duplicated().any():
        results["passed"] = False
        results["errors"].append("Duplicate record IDs")
    
    if (full_df["total_financial_loss_usd"] < 0).any():
        results["passed"] = False
        results["errors"].append("Invalid financial losses")
    
    results["metrics"] = {
        "total_records": len(full_df),
        "countries": full_df["country"].nunique(),
        "mean_success_rate": float(full_df["attack_success_rate_pct"].mean()),
        "mean_total_loss": float(full_df["total_financial_loss_usd"].mean()),
    }
    
    print("\n=== Generating Validation Plots ===")
    fig, axes = plt.subplots(2, 2, figsize=(12, 10))
    
    full_df.groupby("country")["total_financial_loss_usd"].sum().nlargest(10).plot(kind="barh", ax=axes[0, 0], color="steelblue")
    axes[0, 0].set_title("Top 10 Countries by Losses")
    
    full_df["attack_vector"].value_counts().plot(kind="bar", ax=axes[0, 1], color="coral")
    axes[0, 1].set_title("Attack Vectors")
    
    full_df.groupby("scenario")["attack_success_rate_pct"].mean().plot(kind="bar", ax=axes[1, 0], color="seagreen")
    axes[1, 0].set_title("Success Rate by Scenario")
    
    full_df.groupby("scenario")["total_financial_loss_usd"].mean().plot(kind="bar", ax=axes[1, 1], color="purple")
    axes[1, 1].set_title("Mean Loss by Scenario")
    
    plt.tight_layout()
    plt.savefig(os.path.join(dataset_dir, "validation_plots.png"), dpi=150)
    plt.close()
    
    print(f"\n=== Results ===")
    print(f"Records: {len(full_df)}, Countries: {full_df['country'].nunique()}")
    print(f"Mean success rate: {full_df['attack_success_rate_pct'].mean():.2f}%")
    print(f"Mean total loss: ${full_df['total_financial_loss_usd'].mean():,.2f}")
    
    print("\n✓ VALIDATION PASSED" if results["passed"] else "\n✗ VALIDATION FAILED")
    return results

if __name__ == "__main__":
    dataset_dir = os.path.dirname(os.path.abspath(__file__))
    results = validate_dataset(dataset_dir)
    sys.exit(0 if results["passed"] else 1)