add location migrate

This commit is contained in:
2025-08-30 03:48:07 +09:00
parent cf0adb34f9
commit 596b7313dd
11 changed files with 1021 additions and 3 deletions

View File

@ -0,0 +1,120 @@
#!/usr/bin/env python
"""
LocationからLocation2025への完全データ移行スクリプト
条件:
- NewEvent2ごとにlocation.groupにそのevent_codeが含まれているものを抽出
- location.cpをlocation2025.cp_numberに変換
- location2025.event_idにはnewevent2.idを代入
実行前にlocation2025のデータを削除してから実行
"""
from rog.models import Location, Location2025, NewEvent2
def main():
print("=== Location から Location2025 への完全データ移行 ===")
# 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}")
# 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" Event_code: '{event.event_code}' -> ID: {event.id} ({event.event_name})")
print(f" 有効なevent_code数: {len(event_code_map)}")
# 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()}")
# 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
for location in locations:
try:
# 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
# Location2025レコードを作成
location2025 = Location2025(
cp_number=location.cp, # cpをcp_numberに代入
name=location.location_name, # location_nameを使用
description=location.address or '', # addressをdescriptionとして使用
latitude=location.latitude,
longitude=location.longitude,
point=location.checkin_point, # checkin_pointをpointとして使用
geom=location.geom,
sub_loc_id=location.sub_loc_id,
subcategory=location.subcategory,
event_id=matched_event.id, # NewEvent2のIDを設定
created_at=location.created_at,
updated_at=location.last_updated_at,
)
location2025.save()
print(f" ✅ 移行完了: {location.cp} -> {location2025.cp_number} ({location.location_name}) [Event: {matched_event_code}]")
migrated_count += 1
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}")
print(f"スキップ: {skipped_count}")
print(f"エラー: {error_count}")
print(f"総処理: {migrated_count + skipped_count + error_count}")
# 6. Location2025の最終件数確認
final_count = Location2025.objects.count()
print(f"\nLocation2025最終件数: {final_count}")
# 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_id=event.id).count()
print(f" Event '{event_code}' (ID: {event.id}): {count}")
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()
if __name__ == "__main__":
main()

View File

@ -0,0 +1,176 @@
#!/usr/bin/env python
"""
LocationからLocation2025への完全データ移行スクリプトフィールド追加版
更新内容:
- photos, videos, remark, tags, evaluation_value, hidden_location フィールドを追加
- cp_pointとphoto_pointは同じもので、checkin_pointとして移行
- location.cpを直接location2025.cp_numberに書き込み
"""
import os
import django
# Django設定
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
django.setup()
from rog.models import Location, Location2025, NewEvent2
from django.contrib.auth import get_user_model
from django.contrib.gis.geos import Point
from collections import defaultdict
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(フィールド追加版) ===')
# 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}')
# 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)}')
# 3. 全Locationを取得し、cp_number+event_idのユニークな組み合わせのみを処理
print('\n3. ユニークなcp_number+event_idの組み合わせで移行中...')
locations = Location.objects.all()
processed_combinations = set()
migrated_count = 0
skipped_count = 0
error_count = 0
event_stats = defaultdict(int)
for location in locations:
try:
# 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 + event_idの組み合わせを確認
combination_key = (location.cp, matched_event.id)
if combination_key in processed_combinations:
skipped_count += 1
continue
# この組み合わせを処理済みとしてマーク
processed_combinations.add(combination_key)
# 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update_or_create使用
location2025, created = Location2025.objects.update_or_create(
cp_number=location.cp, # location.cpを直接使用
event=matched_event,
defaults={
'cp_name': location.location_name or '',
'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とphoto_pointは同じもので、checkin_pointとして移行
'cp_point': int(location.checkin_point) if location.checkin_point else 0,
'photo_point': int(location.checkin_point) if location.checkin_point else 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 '',
# 追加フィールド
'photos': location.photos or '',
'videos': location.videos or '',
'remark': location.remark or '',
'tags': location.tags or '',
'evaluation_value': location.evaluation_value or '',
'hidden_location': location.hidden_location or False,
# 管理情報
'is_active': True,
'sort_order': 0,
'csv_source_file': 'migration_from_location',
'created_by': default_user,
'updated_by': default_user,
}
)
if created:
migrated_count += 1
event_stats[matched_event_code] += 1
if migrated_count % 100 == 0:
print(f' 進捗: {migrated_count}件完了')
except Exception as e:
print(f' ❌ エラー: CP {location.cp} - {str(e)}')
error_count += 1
# 4. 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}')
print(f'スキップ: {skipped_count}')
print(f'エラー: {error_count}')
print(f'総処理: {migrated_count + skipped_count + error_count}')
# 5. Location2025の最終件数確認
final_count = Location2025.objects.count()
print(f'\nLocation2025最終件数: {final_count}')
# 6. event_code別の統計
print(f'\n=== event_code別統計 ===')
for event_code, count in event_stats.items():
print(f' Event "{event_code}": {count}')
# 7. 移行されたフィールドの確認
if migrated_count > 0:
print('\n=== 移行フィールド確認(サンプル) ===')
sample = Location2025.objects.first()
print(f' CP番号: {sample.cp_number}')
print(f' CP名: {sample.cp_name}')
print(f' CPポイント: {sample.cp_point}')
print(f' フォトポイント: {sample.photo_point}')
print(f' 写真: {sample.photos[:50]}...' if sample.photos else ' 写真: (空)')
print(f' 動画: {sample.videos[:50]}...' if sample.videos else ' 動画: (空)')
print(f' タグ: {sample.tags[:50]}...' if sample.tags else ' タグ: (空)')
print(f' 評価値: {sample.evaluation_value}')
print(f' 隠しロケーション: {sample.hidden_location}')
print('\n✅ 全フィールド対応のデータ移行が正常に完了しました')
if __name__ == "__main__":
main()

View File

@ -0,0 +1,150 @@
#!/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}')
# 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)}')
# 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()}')
# 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()}')
# 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}')
print(f'スキップ: {skipped_count}')
print(f'エラー: {error_count}')
print(f'総処理: {migrated_count + skipped_count + error_count}')
# 6. Location2025の最終件数確認
final_count = Location2025.objects.count()
print(f'\nLocation2025最終件数: {final_count}')
# 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}')
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()

View File

@ -0,0 +1,397 @@
#!/usr/bin/env python
"""
LocationからLocation2025への完全データ移行スクリプト統計検証付き
機能:
- 全フィールド対応の完全データ移行
- リアルタイム統計検証
- データ品質チェック
- 移行前後の比較
- 詳細レポート生成
"""
import os
import django
from collections import defaultdict, Counter
# Django設定
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
django.setup()
from rog.models import Location, Location2025, NewEvent2
from django.contrib.auth import get_user_model
from django.contrib.gis.geos import Point
def analyze_source_data():
"""移行前のデータ分析"""
print('=== 移行前データ分析 ===')
total_locations = Location.objects.count()
print(f'総Location件数: {total_locations}')
# グループ別統計
with_group = Location.objects.exclude(group__isnull=True).exclude(group='').count()
without_group = total_locations - with_group
print(f'groupありLocation: {with_group}')
print(f'groupなしLocation: {without_group}')
# 座標データ統計
with_geom = Location.objects.exclude(geom__isnull=True).count()
with_lat_lng = Location.objects.exclude(longitude__isnull=True).exclude(latitude__isnull=True).count()
print(f'geom座標あり: {with_geom}')
print(f'lat/lng座標あり: {with_lat_lng}')
# フィールド統計
fields_stats = {}
text_fields = ['photos', 'videos', 'remark', 'tags', 'evaluation_value', 'sub_loc_id', 'subcategory']
numeric_fields = ['checkin_point', 'buy_point']
boolean_fields = ['hidden_location']
for field in text_fields:
if hasattr(Location, field):
count = Location.objects.exclude(**{f'{field}__isnull': True}).exclude(**{field: ''}).count()
fields_stats[field] = count
print(f'{field}データあり: {count}')
for field in numeric_fields:
if hasattr(Location, field):
count = Location.objects.exclude(**{f'{field}__isnull': True}).exclude(**{field: 0}).count()
fields_stats[field] = count
print(f'{field}データあり: {count}')
for field in boolean_fields:
if hasattr(Location, field):
count = Location.objects.filter(**{field: True}).count()
fields_stats[field] = count
print(f'{field}データあり: {count}')
return {
'total': total_locations,
'with_group': with_group,
'without_group': without_group,
'with_geom': with_geom,
'with_lat_lng': with_lat_lng,
'fields': fields_stats
}
def validate_migration_data(source_stats):
"""移行後データ検証"""
print('\n=== 移行後データ検証 ===')
total_migrated = Location2025.objects.count()
print(f'移行完了件数: {total_migrated}')
# フィールド検証
migrated_stats = {}
field_mapping = {
'photos': 'photos',
'videos': 'videos',
'remark': 'remark',
'tags': 'tags',
'evaluation_value': 'evaluation_value',
'hidden_location': 'hidden_location',
'sub_loc_id': 'sub_loc_id',
'subcategory': 'subcategory'
}
for source_field, target_field in field_mapping.items():
if source_field == 'hidden_location':
count = Location2025.objects.filter(**{target_field: True}).count()
else:
count = Location2025.objects.exclude(**{f'{target_field}__isnull': True}).exclude(**{target_field: ''}).count()
migrated_stats[source_field] = count
print(f'{target_field}データあり: {count}')
# 座標検証
with_location = Location2025.objects.exclude(location__isnull=True).count()
with_lat_lng = Location2025.objects.exclude(longitude__isnull=True).exclude(latitude__isnull=True).count()
print(f'location座標あり: {with_location}')
print(f'lat/lng座標あり: {with_lat_lng}')
# 必須フィールド検証
with_event = Location2025.objects.exclude(event__isnull=True).count()
with_cp_name = Location2025.objects.exclude(cp_name__isnull=True).exclude(cp_name='').count()
print(f'eventリンクあり: {with_event}')
print(f'cp_nameあり: {with_cp_name}')
return {
'total': total_migrated,
'fields': migrated_stats,
'with_location': with_location,
'with_lat_lng': with_lat_lng,
'with_event': with_event,
'with_cp_name': with_cp_name
}
def generate_comparison_report(source_stats, migrated_stats):
"""移行前後比較レポート"""
print('\n=== 移行前後比較レポート ===')
print(f'総件数比較:')
print(f' 移行前: {source_stats["total"]:,}')
print(f' 移行後: {migrated_stats["total"]:,}')
print(f' 移行率: {(migrated_stats["total"] / source_stats["total"] * 100):.1f}%')
print(f'\nフィールド別データ保持率:')
for field in source_stats['fields']:
if field in migrated_stats['fields']:
source_count = source_stats['fields'][field]
migrated_count = migrated_stats['fields'][field]
if source_count > 0:
retention_rate = (migrated_count / source_count * 100)
print(f' {field}: {migrated_count:,}/{source_count:,}件 ({retention_rate:.1f}%)')
else:
print(f' {field}: {migrated_count:,}/0件 (N/A)')
def analyze_event_distribution():
"""イベント別分布分析"""
print('\n=== イベント別分布分析 ===')
event_stats = {}
for location in Location2025.objects.select_related('event'):
event_name = location.event.event_name if location.event else 'No Event'
event_code = location.event.event_code if location.event else 'No Code'
key = f"{event_code} ({event_name})"
event_stats[key] = event_stats.get(key, 0) + 1
# 件数順でソート
sorted_events = sorted(event_stats.items(), key=lambda x: x[1], reverse=True)
print(f'総イベント数: {len(sorted_events)}')
print(f'上位イベント:')
for i, (event_key, count) in enumerate(sorted_events[:10], 1):
print(f' {i:2d}. {event_key}: {count:,}')
return event_stats
def sample_data_verification():
"""サンプルデータ検証"""
print('\n=== サンプルデータ検証 ===')
# 各種データパターンのサンプルを取得
samples = []
# 写真データありのサンプル
photo_sample = Location2025.objects.filter(photos__isnull=False).exclude(photos='').first()
if photo_sample:
samples.append(('写真データあり', photo_sample))
# remarkデータありのサンプル
remark_sample = Location2025.objects.filter(remark__isnull=False).exclude(remark='').first()
if remark_sample:
samples.append(('詳細説明あり', remark_sample))
# 高ポイントのサンプル
high_point_sample = Location2025.objects.filter(cp_point__gt=50).first()
if high_point_sample:
samples.append(('高ポイント', high_point_sample))
# 通常サンプル
if not samples:
normal_sample = Location2025.objects.first()
if normal_sample:
samples.append(('通常データ', normal_sample))
for sample_type, sample in samples[:3]:
print(f'\n{sample_type}サンプル】')
print(f' CP番号: {sample.cp_number}')
print(f' CP名: {sample.cp_name}')
print(f' CPポイント: {sample.cp_point}')
print(f' フォトポイント: {sample.photo_point}')
print(f' sub_loc_id: {sample.sub_loc_id}')
print(f' subcategory: {sample.subcategory}')
# データ長を制限して表示
def truncate_text(text, max_len=30):
if not text:
return '(空)'
return text[:max_len] + '...' if len(text) > max_len else text
print(f' 写真: {truncate_text(sample.photos)}')
print(f' 動画: {truncate_text(sample.videos)}')
print(f' 詳細: {truncate_text(sample.remark)}')
print(f' タグ: {truncate_text(sample.tags)}')
print(f' 評価値: {truncate_text(sample.evaluation_value)}')
print(f' 隠し: {sample.hidden_location}')
print(f' イベント: {sample.event.event_name if sample.event else "None"}')
def main():
"""メイン実行関数"""
User = get_user_model()
default_user = User.objects.first()
print('='*60)
print('Location → Location2025 完全移行スクリプト(統計検証付き)')
print('='*60)
# 1. 移行前データ分析
source_stats = analyze_source_data()
# 2. 既存Location2025データ削除
print('\n=== 既存データクリア ===')
deleted_count = Location2025.objects.count()
Location2025.objects.all().delete()
print(f'削除済み: {deleted_count}')
# 3. NewEvent2のevent_codeマップ作成
print('\n=== Event Code マッピング ===')
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)}')
# 4. データ移行実行
print('\n=== データ移行実行 ===')
locations = Location.objects.all()
processed_combinations = set()
migrated_count = 0
skipped_count = 0
error_count = 0
event_migration_stats = defaultdict(int)
for location in locations:
try:
# 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 + event_idの組み合わせを確認
combination_key = (location.cp, matched_event.id)
if combination_key in processed_combinations:
skipped_count += 1
continue
# この組み合わせを処理済みとしてマーク
processed_combinations.add(combination_key)
# 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, created = Location2025.objects.update_or_create(
cp_number=location.cp,
event=matched_event,
defaults={
'cp_name': location.location_name or '',
'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': int(location.checkin_point) if location.checkin_point else 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 '',
# 追加フィールド
'photos': location.photos or '',
'videos': location.videos or '',
'remark': location.remark or '',
'tags': location.tags or '',
'evaluation_value': location.evaluation_value or '',
'hidden_location': location.hidden_location or False,
# 管理情報
'is_active': True,
'sort_order': 0,
'csv_source_file': 'migration_from_location',
'created_by': default_user,
'updated_by': default_user,
}
)
if created:
migrated_count += 1
event_migration_stats[matched_event_code] += 1
if migrated_count % 100 == 0:
print(f'進捗: {migrated_count:,}件完了')
except Exception as e:
print(f'❌ エラー: CP {location.cp} - {str(e)}')
error_count += 1
# 5. 移行結果サマリー
print(f'\n=== 移行結果サマリー ===')
print(f'移行完了: {migrated_count:,}')
print(f'スキップ: {skipped_count:,}')
print(f'エラー: {error_count:,}')
print(f'総処理: {migrated_count + skipped_count + error_count:,}')
# 6. 移行後データ検証
migrated_stats = validate_migration_data(source_stats)
# 7. 比較レポート生成
generate_comparison_report(source_stats, migrated_stats)
# 8. イベント別分布分析
event_distribution = analyze_event_distribution()
# 9. サンプルデータ検証
sample_data_verification()
# 10. 最終検証サマリー
print('\n' + '='*60)
print('🎯 移行完了検証サマリー')
print('='*60)
success_rate = (migrated_count / source_stats['total'] * 100) if source_stats['total'] > 0 else 0
print(f'✅ 総移行成功率: {success_rate:.1f}% ({migrated_count:,}/{source_stats["total"]:,}件)')
print(f'✅ エラー率: {(error_count / source_stats["total"] * 100):.1f}% ({error_count:,}件)')
print(f'✅ 最終Location2025件数: {Location2025.objects.count():,}')
print(f'✅ 対応イベント数: {len(event_distribution)}')
# データ品質スコア算出
quality_score = 0
if migrated_stats['with_event'] == migrated_stats['total']:
quality_score += 25 # 全てにイベントがリンクされている
if migrated_stats['with_cp_name'] >= migrated_stats['total'] * 0.95:
quality_score += 25 # 95%以上にCP名がある
if migrated_stats['fields']['photos'] >= migrated_stats['total'] * 0.8:
quality_score += 25 # 80%以上に写真データがある
if migrated_stats['fields']['remark'] >= migrated_stats['total'] * 0.8:
quality_score += 25 # 80%以上に詳細説明がある
print(f'✅ データ品質スコア: {quality_score}/100点')
if quality_score >= 90:
print('🏆 優秀:本格運用準備完了')
elif quality_score >= 70:
print('🥉 良好:運用可能レベル')
elif quality_score >= 50:
print('⚠️ 要改善:一部データ補完推奨')
else:
print('❌ 要対応:データ品質に課題あり')
print('\n✅ 全フィールド対応の完全データ移行が正常に完了しました')
if __name__ == "__main__":
main()

View File

@ -0,0 +1,64 @@
#!/usr/bin/env python3
"""
LocationからLocation2025へsub_loc_idとsubcategoryを移行するスクリプト
"""
import os
import sys
import django
# Djangoの設定
sys.path.append('/app')
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
django.setup()
from rog.models import Location, Location2025
def migrate_sub_fields():
"""LocationからLocation2025にsub_loc_idとsubcategoryを移行"""
print("LocationからLocation2025への移行を開始します...")
# Locationデータを取得
locations = Location.objects.all()
print(f"移行対象のLocationレコード数: {locations.count()}")
# Location2025データとマッチングして更新
updated_count = 0
not_found_count = 0
for location in locations:
# cp_numberとcp_nameでLocation2025を検索
try:
# location_idをcp_numberとして検索
location2025_records = Location2025.objects.filter(
cp_number=location.location_id,
cp_name__icontains=location.location_name[:50] # 名前の部分一致
)
if location2025_records.exists():
for location2025 in location2025_records:
# フィールドが空の場合のみ更新
if not location2025.sub_loc_id and location.sub_loc_id:
location2025.sub_loc_id = location.sub_loc_id
if not location2025.subcategory and location.subcategory:
location2025.subcategory = location.subcategory
location2025.save()
updated_count += 1
print(f"✓ 更新: CP{location.location_id} - {location.location_name[:30]}...")
else:
not_found_count += 1
print(f"✗ 未発見: CP{location.location_id} - {location.location_name[:30]}")
except Exception as e:
print(f"エラー (CP{location.location_id}): {str(e)}")
print(f"\n移行完了:")
print(f" 更新レコード数: {updated_count}")
print(f" 未発見レコード数: {not_found_count}")
print(f" 元レコード数: {locations.count()}")
if __name__ == "__main__":
migrate_sub_fields()

View File

@ -1002,7 +1002,8 @@ admin.site.register(EventUser, admin.ModelAdmin)
#admin.site.register(ShapeFileLocations, admin.ModelAdmin)
#admin.site.register(CustomUser, UserAdminConfig)
admin.site.register(templocation, TempLocationAdmin)
# 古いtemplocationは無効化 - Location2025を使用
#admin.site.register(templocation, TempLocationAdmin)
admin.site.register(GoalImages, admin.ModelAdmin)
admin.site.register(CheckinImages, admin.ModelAdmin)
@ -1130,9 +1131,10 @@ class Location2025Admin(LeafletGeoAdmin):
return redirect('..')
# フォーム表示
# フォーム表示 - Location2025システム用
from .models import NewEvent2
events = NewEvent2.objects.filter(event_active=True).order_by('-created_at')
# statusフィールドベースでアクティブなイベントを取得
events = NewEvent2.objects.filter(status='public').order_by('-start_datetime')
return render(request, 'admin/location2025/upload_csv.html', {
'events': events,

View File

@ -0,0 +1,22 @@
# Generated manually to add status field to NewEvent2
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rog', '0007_auto_20250829_1836'),
]
operations = [
migrations.AddField(
model_name='newevent2',
name='status',
field=models.CharField(
choices=[('public', 'Public'), ('private', 'Private'), ('draft', 'Draft'), ('closed', 'Closed')],
default='draft',
help_text='イベントステータス',
max_length=20
),
),
]

View File

@ -0,0 +1,34 @@
# Generated manually to add missing timestamp fields to gpscheckin
from django.db import migrations, models
from django.utils import timezone
class Migration(migrations.Migration):
dependencies = [
('rog', '0008_add_status_field'),
]
operations = [
migrations.AddField(
model_name='gpscheckin',
name='created_at',
field=models.DateTimeField(auto_now_add=True, default=timezone.now),
preserve_default=False,
),
migrations.AddField(
model_name='gpscheckin',
name='updated_at',
field=models.DateTimeField(auto_now=True),
),
migrations.AddField(
model_name='location2025',
name='sub_loc_id',
field=models.CharField(blank=True, max_length=2048, null=True, verbose_name='サブロケーションID'),
),
migrations.AddField(
model_name='location2025',
name='subcategory',
field=models.CharField(blank=True, max_length=2048, null=True, verbose_name='サブカテゴリ'),
),
]

View File

@ -0,0 +1,43 @@
# Generated manually on 2025-08-30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rog', '0009_add_fields_to_models'),
]
operations = [
migrations.AddField(
model_name='location2025',
name='photos',
field=models.CharField(max_length=2048, blank=True, null=True, verbose_name='写真'),
),
migrations.AddField(
model_name='location2025',
name='videos',
field=models.CharField(max_length=2048, blank=True, null=True, verbose_name='動画'),
),
migrations.AddField(
model_name='location2025',
name='remark',
field=models.TextField(blank=True, null=True, verbose_name='備考'),
),
migrations.AddField(
model_name='location2025',
name='tags',
field=models.CharField(max_length=2048, blank=True, null=True, verbose_name='タグ'),
),
migrations.AddField(
model_name='location2025',
name='evaluation_value',
field=models.CharField(max_length=255, blank=True, null=True, verbose_name='評価値'),
),
migrations.AddField(
model_name='location2025',
name='hidden_location',
field=models.BooleanField(default=False, verbose_name='隠しロケーション'),
),
]

View File

View File

@ -1091,6 +1091,8 @@ class Location2025(models.Model):
cp_number = models.IntegerField(_('CP番号'), db_index=True)
event = models.ForeignKey('NewEvent2', on_delete=models.CASCADE, verbose_name=_('イベント'))
cp_name = models.CharField(_('CP名'), max_length=255)
sub_loc_id = models.CharField(_('サブロケーションID'), max_length=2048, blank=True, null=True)
subcategory = models.CharField(_('サブカテゴリ'), max_length=2048, blank=True, null=True)
# 位置情報
latitude = models.FloatField(_('緯度'), null=True, blank=True)
@ -1117,6 +1119,14 @@ class Location2025(models.Model):
website = models.URLField(_('ウェブサイト'), blank=True, null=True)
description = models.TextField(_('説明'), blank=True, null=True)
# 追加フィールドLocationテーブルから移行
photos = models.CharField(_('写真'), max_length=2048, blank=True, null=True)
videos = models.CharField(_('動画'), max_length=2048, blank=True, null=True)
remark = models.TextField(_('備考'), blank=True, null=True)
tags = models.CharField(_('タグ'), max_length=2048, blank=True, null=True)
evaluation_value = models.CharField(_('評価値'), max_length=255, blank=True, null=True)
hidden_location = models.BooleanField(_('隠しロケーション'), default=False)
# 管理情報
is_active = models.BooleanField(_('有効'), default=True, db_index=True)
sort_order = models.IntegerField(_('表示順'), default=0)