"""
DITAnalyzer Test Script
"""

import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

import pandas as pd
from datetime import datetime, timedelta
from services.dit_analyzer import DITAnalyzer, DITAnalyzerError


def create_sample_data():
    """Create sample test data"""
    days_ago_90 = datetime.now() - timedelta(days=90)
    days_ago_30 = datetime.now() - timedelta(days=30)

    data = {
        'Created Date': ['2024-01-01', '2024-02-01', '2024-03-01', '2024-04-01', '2024-05-01',
                         '2024-01-15', '2024-02-15', '2024-03-15', '2024-04-15', '2024-05-15'],
        'Account Name': ['CustomerA', 'CustomerB', 'CustomerA', 'CustomerC', 'CustomerD',
                         'CustomerE', 'CustomerF', 'CustomerA', 'CustomerG', 'CustomerH'],
        'Stage': ['Won', 'Opportunity Lost', 'Negotiation', 'Won', 'Design-Lost',
                  'Negotiation', 'Mass Production', 'Opportunity Lost', 'Negotiation', 'Won'],
        'Application': ['Automotive', '', 'Automotive', 'IoT', '',
                        'Automotive', 'Consumer', '', 'Industrial', 'Automotive'],
        'Application Detail': ['', 'Consumer Electronics', '', '', 'Smart Home',
                               '', '', 'Power Supply', '', ''],
        'Opportunity Name': ['Project Alpha', 'Project Beta', 'Project Gamma', 'Project Delta', 'Project Epsilon',
                             'Project Zeta', 'Project Eta', 'Project Theta', 'Project Iota', 'Project Kappa'],
        'Total Price': [500000, 300000, 800000, 150000, 200000,
                        1200000, 50000, 100000, 450000, 600000],
        'Approved date': [None, None, days_ago_90.strftime('%Y-%m-%d'), None, None,
                          days_ago_90.strftime('%Y-%m-%d'), None, None, days_ago_30.strftime('%Y-%m-%d'), None],
        'Lost Type': ['', 'Price', '', '', 'Spec',
                      '', '', 'Price', '', '']
    }

    return pd.DataFrame(data)


def test_preprocess():
    """Test data preprocessing"""
    print("=" * 50)
    print("Test 1: Data Preprocessing")
    print("=" * 50)

    df = create_sample_data()
    analyzer = DITAnalyzer(dataframe=df)

    processed_df = analyzer.get_dataframe()

    print(f"Total records: {len(processed_df)}")
    print(f"Columns: {list(processed_df.columns)}")

    assert 'Derived_Application' in processed_df.columns
    assert 'Is_Lost' in processed_df.columns
    assert 'Is_Active' in processed_df.columns
    print("\n[PASS] Preprocess test passed!")


def test_resource_allocation():
    """Test Feature 6.2: High Value Resource Allocation"""
    print("\n" + "=" * 50)
    print("Test 2: Feature 6.2 Resource Allocation")
    print("=" * 50)

    df = create_sample_data()
    analyzer = DITAnalyzer(dataframe=df)

    results = analyzer.analyze_resource_allocation(top_percent=0.5, low_win_rate=0.5)

    print(f"Found {len(results)} high-value low-win-rate applications")
    for card in results:
        print(f"\n[CARD] {card['title']}")
        print(f"   Application: {card['application']}")
        print(f"   Potential Value: {card['money']}")
        print(f"   Win Rate: {card['win_rate']}%")

    print("\n[PASS] Resource allocation test passed!")


def test_stagnant_deals():
    """Test Feature 6.3: Stagnant Deal Alert"""
    print("\n" + "=" * 50)
    print("Test 3: Feature 6.3 Stagnant Deals")
    print("=" * 50)

    df = create_sample_data()
    analyzer = DITAnalyzer(dataframe=df)

    results = analyzer.analyze_stagnant_deals(threshold_days=60)

    print(f"Found {len(results)} stagnant deals")
    for card in results:
        print(f"\n[ALERT] {card['title']}")
        print(f"   Account: {card['account']}")
        print(f"   Project: {card['project']}")
        print(f"   Days Pending: {card['days_pending']}")

    print("\n[PASS] Stagnant deals test passed!")


def test_full_report():
    """Test full report generation"""
    print("\n" + "=" * 50)
    print("Test 4: Full Report Generation")
    print("=" * 50)

    df = create_sample_data()
    analyzer = DITAnalyzer(dataframe=df)

    report = analyzer.generate_report(top_percent=0.5, low_win_rate=0.5, threshold_days=60)

    print(f"\n[REPORT] Generated at: {report['generated_at']}")
    summary = report['summary']
    print(f"   Total Records: {summary['total_records']}")
    print(f"   Total Value: {summary['total_value']}")
    print(f"   Win Rate: {summary['win_rate']}")

    print(f"\n[ACTION CARDS] Total: {report['total_alerts']}")
    print(f"   - Resource Allocation: {len(report['action_cards']['resource_allocation'])}")
    print(f"   - Stagnant Deals: {len(report['action_cards']['stagnant_deals'])}")

    print("\n[PASS] Full report test passed!")


def main():
    """Run all tests"""
    print("\n[START] DITAnalyzer Test Suite\n")

    try:
        test_preprocess()
        test_resource_allocation()
        test_stagnant_deals()
        test_full_report()

        print("\n" + "=" * 50)
        print("[SUCCESS] All tests passed!")
        print("=" * 50)

    except Exception as e:
        print(f"\n[FAIL] Test failed: {e}")
        import traceback
        traceback.print_exc()
        return 1

    return 0


if __name__ == '__main__':
    exit(main())