#!/usr/bin/env python
"""
LocationからLocation2025への完全データ移行スクリプト（最終版）
"""

from rog.models import Location, Location2025, NewEvent2
from django.contrib.auth import get_user_model
from django.contrib.gis.geos import Point

def main():
    User = get_user_model()
    default_user = User.objects.first()
    
    print('=== Location から Location2025 への完全データ移行（最終版） ===')
    
    # 1. Location2025の既存データを削除
    print('\n1. Location2025の既存データを削除中...')
    deleted_count = Location2025.objects.count()
    Location2025.objects.all().delete()
    print(f'   削除済み: {deleted_count}件')
    
    # 2. NewEvent2のevent_codeマップを作成
    print('\n2. NewEvent2のevent_codeマップを作成中...')
    events = NewEvent2.objects.filter(event_code__isnull=False).exclude(event_code='')
    event_code_map = {}
    for event in events:
        event_code_map[event.event_code] = event
    print(f'   有効なevent_code数: {len(event_code_map)}件')
    
    # 3. 全Locationを取得
    print('\n3. 移行対象のLocationレコードを取得中...')
    locations = Location.objects.all()
    print(f'   総Location数: {locations.count()}件')
    
    # 4. 条件に合致するLocationを移行
    print('\n4. データ移行中...')
    
    migrated_count = 0
    skipped_count = 0
    error_count = 0
    cp_number_counter = {}  # event_id別のcp_numberカウンター
    
    for i, location in enumerate(locations):
        try:
            # 進捗表示（1000件ごと）
            if i % 1000 == 0:
                print(f'   処理中: {i}/{locations.count()}件')
            
            # groupが空の場合はスキップ
            if not location.group:
                skipped_count += 1
                continue
            
            # location.groupに含まれるevent_codeを検索
            matched_event = None
            matched_event_code = None
            
            for event_code, event in event_code_map.items():
                if event_code in location.group:
                    matched_event = event
                    matched_event_code = event_code
                    break
            
            # マッチするevent_codeがない場合はスキップ
            if not matched_event:
                skipped_count += 1
                continue
            
            # cp_numberの処理（0の場合は自動採番）
            cp_number = int(location.cp) if location.cp else 0
            if cp_number == 0:
                # event_id別に自動採番
                if matched_event.id not in cp_number_counter:
                    cp_number_counter[matched_event.id] = 10000  # 10000から開始
                cp_number = cp_number_counter[matched_event.id]
                cp_number_counter[matched_event.id] += 1
            
            # MultiPointからPointに変換
            point_location = None
            if location.geom and len(location.geom) > 0:
                first_point = location.geom[0]
                point_location = Point(first_point.x, first_point.y)
            elif location.longitude and location.latitude:
                point_location = Point(location.longitude, location.latitude)
            
            # Location2025レコードを作成
            location2025 = Location2025(
                cp_number=cp_number,
                event=matched_event,
                cp_name=location.location_name,
                sub_loc_id=location.sub_loc_id or '',
                subcategory=location.subcategory or '',
                latitude=location.latitude or 0.0,
                longitude=location.longitude or 0.0,
                location=point_location,
                cp_point=int(location.checkin_point) if location.checkin_point else 0,
                photo_point=0,
                buy_point=int(location.buy_point) if location.buy_point else 0,
                checkin_radius=location.checkin_radius or 100.0,
                auto_checkin=location.auto_checkin or False,
                shop_closed=location.shop_closed or False,
                shop_shutdown=location.shop_shutdown or False,
                opening_hours='',
                address=location.address or '',
                phone=location.phone or '',
                website='',
                description=location.remark or '',
                is_active=True,
                sort_order=0,
                csv_source_file='migration_from_location',
                created_by=default_user,
                updated_by=default_user,
            )
            
            location2025.save()
            migrated_count += 1
            
            # 最初の10件は詳細ログ
            if migrated_count <= 10:
                print(f'   ✅ 移行完了: {location.cp} -> {location2025.cp_number} ({location.location_name}) [Event: {matched_event_code}]')
            
        except Exception as e:
            print(f'   ❌ エラー: {location.cp} - {str(e)}')
            error_count += 1
    
    # 5. 結果サマリー
    print(f'\n=== 移行結果サマリー ===')
    print(f'移行完了: {migrated_count}件')
    print(f'スキップ: {skipped_count}件')
    print(f'エラー: {error_count}件')
    print(f'総処理: {migrated_count + skipped_count + error_count}件')
    
    # 6. Location2025の最終件数確認
    final_count = Location2025.objects.count()
    print(f'\nLocation2025最終件数: {final_count}件')
    
    # 7. event_id別の統計
    print(f'\n=== event_id別統計 ===')
    for event_code, event in event_code_map.items():
        count = Location2025.objects.filter(event=event).count()
        if count > 0:
            print(f'   Event "{event_code}" (ID: {event.id}): {count}件')
    
    if migrated_count > 0:
        print('\n✅ データ移行が正常に完了しました')
    else:
        print('\n⚠️  移行されたデータがありません')

if __name__ == "__main__":
    main()