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rogaining_srv/rog/views_apis/api_bulk_photo_upload.py

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"""
写真一括アップロード通過履歴校正API
スマホアルバムから複数の写真をアップロードしEXIF情報から自動的に通過履歴を生成校正する
"""
import logging
import uuid
import os
from datetime import datetime
from django.http import JsonResponse
from django.utils import timezone
from django.db import transaction
from django.core.files.storage import default_storage
from django.conf import settings
from rest_framework.decorators import api_view, permission_classes, parser_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework import status
from rest_framework.parsers import MultiPartParser, FormParser
from knox.auth import TokenAuthentication
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from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS
import math
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import tempfile
import json
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from ..models import NewEvent2, Entry, GpsLog, Location2025, GpsCheckin, CheckinImages
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# ログ設定
logger = logging.getLogger(__name__)
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def upload_photo_to_s3(uploaded_file, event_code, zekken_number, cp_number=None, request_id=None):
"""
アップロードされた写真をS3にアップロードする
Args:
uploaded_file: アップロードされたファイル
event_code: イベントコード
zekken_number: ゼッケン番号
cp_number: チェックポイント番号
request_id: リクエストID
Returns:
dict: {
'success': bool,
's3_url': str,
's3_key': str,
'error': str
}
"""
try:
# S3のバケット設定を取得
bucket_name = getattr(settings, 'AWS_STORAGE_BUCKET_NAME', 'rogaining-images')
# S3キーの生成
timestamp = timezone.now().strftime("%Y%m%d_%H%M%S")
file_extension = os.path.splitext(uploaded_file.name)[1].lower()
if cp_number:
s3_key = f"checkin_photos/{event_code}/{zekken_number}/CP{cp_number}_{timestamp}_{request_id}{file_extension}"
else:
s3_key = f"bulk_upload/{event_code}/{zekken_number}/{timestamp}_{request_id}_{uploaded_file.name}"
# 一時ファイルとして保存
with tempfile.NamedTemporaryFile(delete=False, suffix=file_extension) as temp_file:
for chunk in uploaded_file.chunks():
temp_file.write(chunk)
temp_file_path = temp_file.name
try:
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# AWS認証情報の確認
aws_access_key = getattr(settings, 'AWS_ACCESS_KEY_ID', None)
aws_secret_key = getattr(settings, 'AWS_SECRET_ACCESS_KEY', None)
if not aws_access_key or not aws_secret_key:
logger.warning(f"[S3_UPLOAD] ❌ AWS credentials not configured, falling back to local storage")
return {
'success': False,
's3_url': None,
's3_key': None,
'error': 'AWS credentials not configured, using local storage instead'
}
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# S3クライアントの設定環境変数から取得
import boto3
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from botocore.exceptions import ClientError, NoCredentialsError, PartialCredentialsError
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s3_client = boto3.client(
's3',
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aws_access_key_id=aws_access_key,
aws_secret_access_key=aws_secret_key,
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region_name=getattr(settings, 'AWS_S3_REGION_NAME', 'ap-northeast-1')
)
# S3にアップロード
s3_client.upload_file(
temp_file_path,
bucket_name,
s3_key,
ExtraArgs={
'ContentType': uploaded_file.content_type,
'Metadata': {
'event_code': event_code,
'zekken_number': str(zekken_number),
'cp_number': str(cp_number) if cp_number else '',
'original_filename': uploaded_file.name,
'upload_source': 'bulk_upload_api'
}
}
)
# S3 URLの生成
s3_url = f"https://{bucket_name}.s3.{getattr(settings, 'AWS_S3_REGION_NAME', 'ap-northeast-1')}.amazonaws.com/{s3_key}"
logger.info(f"[S3_UPLOAD] ✅ Successfully uploaded to S3 - key: {s3_key}")
return {
'success': True,
's3_url': s3_url,
's3_key': s3_key,
'error': None
}
finally:
# 一時ファイルを削除
if os.path.exists(temp_file_path):
os.unlink(temp_file_path)
except ImportError:
logger.warning(f"[S3_UPLOAD] ❌ boto3 not available, saving locally")
return {
'success': False,
's3_url': None,
's3_key': None,
'error': 'S3 upload not available (boto3 not installed)'
}
except Exception as e:
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error_message = str(e)
if 'credentials' in error_message.lower():
logger.warning(f"[S3_UPLOAD] ❌ AWS credentials error: {error_message}")
return {
'success': False,
's3_url': None,
's3_key': None,
'error': f'AWS credentials error: {error_message}'
}
else:
logger.error(f"[S3_UPLOAD] ❌ Error uploading to S3: {error_message}")
return {
'success': False,
's3_url': None,
's3_key': None,
'error': str(e)
}
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def create_checkin_image_record(gps_checkin, s3_url, s3_key, original_filename, exif_data, request_id, user):
"""
CheckinImagesテーブルにレコードを作成する
Args:
gps_checkin: GpsCheckinオブジェクト
s3_url: S3のURL
s3_key: S3のキー
original_filename: 元のファイル名
exif_data: EXIF情報
request_id: リクエストID
user: ユーザーオブジェクト
Returns:
CheckinImagesオブジェクトまたはNone
"""
try:
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# S3 URLがない場合はローカルパスまたは一時的なプレースホルダーを使用
image_url = s3_url if s3_url else f"local://bulk_upload/{original_filename}"
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# CheckinImagesレコードを作成
checkin_image = CheckinImages.objects.create(
user=user,
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checkinimage=image_url, # S3のURLまたはローカルパスを保存
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checkintime=timezone.now(),
team_name=f"Team_{gps_checkin.zekken}", # ゼッケン番号からチーム名を生成
event_code=gps_checkin.event_code,
cp_number=gps_checkin.cp_number
)
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if s3_url:
logger.info(f"[CHECKIN_IMAGE] ✅ Created CheckinImages record with S3 URL - ID: {checkin_image.id}, checkin_id: {gps_checkin.id}")
else:
logger.info(f"[CHECKIN_IMAGE] ✅ Created CheckinImages record with local path - ID: {checkin_image.id}, checkin_id: {gps_checkin.id}")
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return checkin_image
except Exception as e:
logger.error(f"[CHECKIN_IMAGE] ❌ Error creating CheckinImages record: {str(e)}")
return None
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def extract_exif_data(image_file):
"""
画像ファイルからEXIF情報を抽出する
Returns:
dict: {
'latitude': float,
'longitude': float,
'datetime': datetime,
'has_gps': bool
}
"""
try:
# PIL Imageオブジェクトを作成
image = Image.open(image_file)
# EXIF情報を取得
exif_data = image._getexif()
if not exif_data:
logger.warning(f"No EXIF data found in image: {image_file.name}")
return {'has_gps': False, 'latitude': None, 'longitude': None, 'datetime': None}
# GPS情報とDatetime情報を抽出
gps_info = {}
datetime_original = None
for tag_id, value in exif_data.items():
tag = TAGS.get(tag_id, tag_id)
if tag == "GPSInfo":
# GPS情報の詳細を展開
for gps_tag_id, gps_value in value.items():
gps_tag = GPSTAGS.get(gps_tag_id, gps_tag_id)
gps_info[gps_tag] = gps_value
elif tag == "DateTime" or tag == "DateTimeOriginal":
try:
datetime_original = datetime.strptime(str(value), '%Y:%m:%d %H:%M:%S')
except ValueError:
logger.warning(f"Failed to parse datetime: {value}")
# GPS座標の変換
latitude = None
longitude = None
if 'GPSLatitude' in gps_info and 'GPSLongitude' in gps_info:
lat_deg, lat_min, lat_sec = gps_info['GPSLatitude']
lon_deg, lon_min, lon_sec = gps_info['GPSLongitude']
# 度分秒を小数度に変換
latitude = float(lat_deg) + float(lat_min)/60 + float(lat_sec)/3600
longitude = float(lon_deg) + float(lon_min)/60 + float(lon_sec)/3600
# 南緯・西経の場合は負の値にする
if gps_info.get('GPSLatitudeRef') == 'S':
latitude = -latitude
if gps_info.get('GPSLongitudeRef') == 'W':
longitude = -longitude
logger.info(f"EXIF extracted from {image_file.name}: lat={latitude}, lon={longitude}, datetime={datetime_original}")
return {
'has_gps': latitude is not None and longitude is not None,
'latitude': latitude,
'longitude': longitude,
'datetime': datetime_original
}
except Exception as e:
logger.error(f"Error extracting EXIF from {image_file.name}: {str(e)}")
return {'has_gps': False, 'latitude': None, 'longitude': None, 'datetime': None}
def find_nearest_checkpoint(latitude, longitude, event_code, max_distance_m=100):
"""
指定された座標から最も近いチェックポイントを検索する
Args:
latitude: 緯度
longitude: 経度
event_code: イベントコード
max_distance_m: 最大距離メートル
Returns:
Location2025オブジェクトまたはNone
"""
try:
# 該当イベントのチェックポイントを取得
checkpoints = Location2025.objects.filter(event__event_name=event_code)
if not checkpoints.exists():
logger.warning(f"No checkpoints found for event: {event_code}")
return None
# 最も近いチェックポイントを検索
nearest_cp = None
min_distance = float('inf')
for cp in checkpoints:
if cp.latitude and cp.longitude:
# ハーバーサイン距離の計算
distance = calculate_distance(latitude, longitude, cp.latitude, cp.longitude)
if distance < min_distance and distance <= max_distance_m:
min_distance = distance
nearest_cp = cp
if nearest_cp:
logger.info(f"Found nearest checkpoint: {nearest_cp.location} (CP{nearest_cp.cp_number}) at distance {min_distance:.1f}m")
else:
logger.info(f"No checkpoint found within {max_distance_m}m of lat={latitude}, lon={longitude}")
return nearest_cp
except Exception as e:
logger.error(f"Error finding nearest checkpoint: {str(e)}")
return None
def calculate_distance(lat1, lon1, lat2, lon2):
"""
ハーバーサイン公式を使用して2点間の距離を計算メートル単位
"""
R = 6371000 # 地球の半径(メートル)
lat1_rad = math.radians(lat1)
lat2_rad = math.radians(lat2)
delta_lat = math.radians(lat2 - lat1)
delta_lon = math.radians(lon2 - lon1)
a = (math.sin(delta_lat/2) * math.sin(delta_lat/2) +
math.cos(lat1_rad) * math.cos(lat2_rad) *
math.sin(delta_lon/2) * math.sin(delta_lon/2))
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
distance = R * c
return distance
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def create_checkin_from_photo(entry, checkpoint, photo_datetime, zekken_number, event_code, uploaded_file, exif_data, request_id, user):
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"""
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写真情報からチェックインデータを作成しS3アップロードとCheckinImages登録も行う
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Args:
entry: Entryオブジェクト
checkpoint: Location2025オブジェクト
photo_datetime: 撮影日時
zekken_number: ゼッケン番号
event_code: イベントコード
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uploaded_file: アップロードされたファイル
exif_data: EXIF情報辞書
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request_id: リクエストID
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user: ユーザーオブジェクト
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Returns:
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dict: {
'gps_checkin': GpsCheckinオブジェクト,
'checkin_image': CheckinImagesオブジェクト,
's3_info': S3アップロード情報,
'created': bool
}
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"""
try:
# 既存のチェックインをチェック(重複防止)
existing_checkin = GpsCheckin.objects.filter(
zekken=str(zekken_number),
event_code=event_code,
cp_number=checkpoint.cp_number
).first()
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gps_checkin = None
created = False
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if existing_checkin:
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logger.info(f"[BULK_UPLOAD] 📍 Existing checkin found - ID: {request_id}, CP: {checkpoint.cp_number}, existing_id: {existing_checkin.id}")
gps_checkin = existing_checkin
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else:
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# 新規チェックインの作成
# 撮影時刻をJSTに変換
if photo_datetime:
# 撮影時刻をUTCとして扱い、JSTに変換
create_at = timezone.make_aware(photo_datetime, timezone.utc)
else:
create_at = timezone.now()
# シリアル番号を決定(既存のチェックイン数+1
existing_count = GpsCheckin.objects.filter(
zekken=str(zekken_number),
event_code=event_code
).count()
serial_number = existing_count + 1
# チェックインデータを作成
gps_checkin = GpsCheckin.objects.create(
zekken=str(zekken_number),
event_code=event_code,
cp_number=checkpoint.cp_number,
serial_number=serial_number,
create_at=create_at,
update_at=timezone.now(),
validate_location=True, # 写真から作成されたものは自動承認
buy_flag=False,
points=checkpoint.checkin_point if checkpoint.checkin_point else 0,
create_user=f"bulk_upload_{request_id}", # 一括アップロードで作成されたことを示す
update_user=f"bulk_upload_{request_id}",
)
logger.info(f"[BULK_UPLOAD] ✅ Created checkin - ID: {request_id}, checkin_id: {gps_checkin.id}, CP: {checkpoint.cp_number}, time: {create_at}, points: {gps_checkin.points}")
created = True
# S3に写真をアップロード
logger.info(f"[BULK_UPLOAD] 📤 Uploading photo to S3 - ID: {request_id}, CP: {checkpoint.cp_number}")
s3_result = upload_photo_to_s3(
uploaded_file,
event_code,
zekken_number,
checkpoint.cp_number,
request_id
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)
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checkin_image = None
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# S3アップロードが成功した場合も失敗した場合もCheckinImagesレコードを作成
checkin_image = create_checkin_image_record(
gps_checkin,
s3_result['s3_url'], # S3アップロードが失敗した場合はNone
s3_result['s3_key'],
uploaded_file.name,
exif_data,
request_id,
user
)
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if s3_result['success']:
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logger.info(f"[BULK_UPLOAD] ✅ Photo uploaded to S3 and CheckinImages record created - ID: {request_id}")
else:
logger.warning(f"[BULK_UPLOAD] ⚠️ S3 upload failed but CheckinImages record created with local path - ID: {request_id}, error: {s3_result['error']}")
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return {
'gps_checkin': gps_checkin,
'checkin_image': checkin_image,
's3_info': s3_result,
'created': created
}
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except Exception as e:
logger.error(f"[BULK_UPLOAD] ❌ Error creating checkin - ID: {request_id}, CP: {checkpoint.cp_number if checkpoint else 'None'}, error: {str(e)}")
return None
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@api_view(['POST', 'GET'])
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@permission_classes([IsAuthenticated])
@parser_classes([MultiPartParser, FormParser])
def bulk_upload_checkin_photos(request):
"""
スマホアルバムから複数の写真を一括アップロードしEXIF情報から通過履歴を校正する
パラメータ:
- event_code: イベントコード (必須)
- zekken_number: ゼッケン番号 (必須)
- photos: アップロードする写真ファイルのリスト (必須)
- auto_process: 自動処理を行うかどうか (デフォルト: true)
"""
# リクエストID生成デバッグ用
request_id = str(uuid.uuid4())[:8]
client_ip = request.META.get('HTTP_X_FORWARDED_FOR', request.META.get('REMOTE_ADDR', 'Unknown'))
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logger.info(f"[BULK_UPLOAD] 🎯 API ACCESS CONFIRMED - bulk_upload_checkin_photos called successfully - ID: {request_id}, Method: {request.method}, User: {request.user.email if request.user.is_authenticated else 'Anonymous'}, Client IP: {client_ip}")
logger.info(f"[BULK_UPLOAD] 🔍 Request details - Content-Type: {request.content_type}, POST data keys: {list(request.POST.keys())}, FILES count: {len(request.FILES)}")
# GETリクエストの場合は、APIが動作していることを確認するための情報を返す
if request.method == 'GET':
logger.info(f"[BULK_UPLOAD] 📋 GET request received - returning API status")
return Response({
"status": "ACTIVE",
"message": "一括写真アップロードAPIが動作中です",
"endpoint": "/api/bulk_upload_checkin_photos/",
"method": "POST",
"required_params": ["event_code", "zekken_number", "photos"],
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"optional_params": ["auto_process", "skip_team_validation"],
"features": [
"写真からEXIF情報を抽出",
"GPS座標から最寄りチェックポイントを自動検索",
"撮影時刻を使用してチェックインデータを自動作成",
"チーム検証機能"
],
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"user": request.user.email if request.user.is_authenticated else 'Not authenticated'
}, status=status.HTTP_200_OK)
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try:
# リクエストデータの取得
event_code = request.POST.get('event_code')
zekken_number = request.POST.get('zekken_number')
auto_process = request.POST.get('auto_process', 'true').lower() == 'true'
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skip_team_validation = request.POST.get('skip_team_validation', 'false').lower() == 'true'
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# アップロードされた写真ファイルの取得
uploaded_files = request.FILES.getlist('photos')
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logger.info(f"[BULK_UPLOAD] 📝 Request data - ID: {request_id}, event_code: '{event_code}', zekken_number: '{zekken_number}', files_count: {len(uploaded_files)}, auto_process: {auto_process}, skip_team_validation: {skip_team_validation}")
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# 必須パラメータの検証
if not all([event_code, zekken_number]):
logger.warning(f"[BULK_UPLOAD] ❌ Missing required parameters - ID: {request_id}")
return Response({
"status": "ERROR",
"message": "イベントコードとゼッケン番号が必要です"
}, status=status.HTTP_400_BAD_REQUEST)
if not uploaded_files:
logger.warning(f"[BULK_UPLOAD] ❌ No files uploaded - ID: {request_id}")
return Response({
"status": "ERROR",
"message": "アップロードする写真が必要です"
}, status=status.HTTP_400_BAD_REQUEST)
# ファイル数制限の確認
max_files = getattr(settings, 'BULK_UPLOAD_MAX_FILES', 50)
if len(uploaded_files) > max_files:
logger.warning(f"[BULK_UPLOAD] ❌ Too many files - ID: {request_id}, count: {len(uploaded_files)}, max: {max_files}")
return Response({
"status": "ERROR",
"message": f"一度にアップロードできる写真は最大{max_files}枚です"
}, status=status.HTTP_400_BAD_REQUEST)
# イベントの存在確認
event = NewEvent2.objects.filter(event_name=event_code).first()
if not event:
logger.warning(f"[BULK_UPLOAD] ❌ Event not found - ID: {request_id}, event_code: '{event_code}'")
return Response({
"status": "ERROR",
"message": "指定されたイベントが見つかりません"
}, status=status.HTTP_404_NOT_FOUND)
logger.info(f"[BULK_UPLOAD] ✅ Event found - ID: {request_id}, event: '{event_code}', event_id: {event.id}")
# チームの存在確認とオーナー権限の検証
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# zekken_numberは文字列と数値の両方で検索を試行
entry = None
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# まず数値として検索
if zekken_number.isdigit():
entry = Entry.objects.filter(
event=event,
zekken_number=int(zekken_number)
).select_related('team').first()
# 見つからない場合は文字列として検索
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if not entry:
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entry = Entry.objects.filter(
event=event,
zekken_label=zekken_number
).select_related('team').first()
# さらに見つからない場合は文字列での zekken_number 検索
if not entry:
entry = Entry.objects.filter(
event=event,
zekken_number=zekken_number
).select_related('team').first()
logger.info(f"[BULK_UPLOAD] 🔍 Team search - ID: {request_id}, searching for zekken: '{zekken_number}', found entry: {entry.id if entry else 'None'}")
# チーム検証のスキップまたは失敗処理
if not entry and not skip_team_validation:
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logger.warning(f"[BULK_UPLOAD] ❌ Team not found - ID: {request_id}, zekken_number: '{zekken_number}', event_code: '{event_code}'")
return Response({
"status": "ERROR",
"message": "指定されたゼッケン番号のチームが見つかりません"
}, status=status.HTTP_404_NOT_FOUND)
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elif not entry and skip_team_validation:
logger.warning(f"[BULK_UPLOAD] ⚠️ Team not found but validation skipped - ID: {request_id}, zekken_number: '{zekken_number}', event_code: '{event_code}'")
# ダミーエントリ情報を作成(テスト用)
entry = type('Entry', (), {
'id': f'test_{request_id}',
'team': type('Team', (), {
'team_name': f'Test Team {zekken_number}',
'owner': request.user
})(),
'event': event
})()
logger.info(f"[BULK_UPLOAD] 🧪 Using test entry - ID: {request_id}, test_entry_id: {entry.id}")
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if hasattr(entry, 'id') and str(entry.id).startswith('test_'):
logger.info(f"[BULK_UPLOAD] ✅ Test team found - ID: {request_id}, team_name: '{entry.team.team_name}', zekken: {zekken_number}, test_entry_id: {entry.id}")
else:
logger.info(f"[BULK_UPLOAD] ✅ Team found - ID: {request_id}, team_name: '{entry.team.team_name}', zekken: {zekken_number}, entry_id: {entry.id}")
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# オーナー権限の確認 (テストモードではスキップ)
if not skip_team_validation and hasattr(entry, 'owner') and entry.owner != request.user:
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logger.warning(f"[BULK_UPLOAD] ❌ Permission denied - ID: {request_id}, user: {request.user.email}, team_owner: {entry.owner.email}")
return Response({
"status": "ERROR",
"message": "このチームの写真をアップロードする権限がありません"
}, status=status.HTTP_403_FORBIDDEN)
# 写真処理の準備
processed_files = []
successful_uploads = 0
failed_uploads = 0
# アップロードディレクトリの準備
upload_dir = f"bulk_checkin_photos/{event_code}/{zekken_number}/"
os.makedirs(os.path.join(settings.MEDIA_ROOT, upload_dir), exist_ok=True)
with transaction.atomic():
for index, uploaded_file in enumerate(uploaded_files):
file_result = {
"filename": uploaded_file.name,
"file_index": index + 1,
"file_size": uploaded_file.size,
"upload_time": timezone.now().strftime("%Y-%m-%d %H:%M:%S")
}
try:
# ファイル形式の確認
allowed_extensions = ['.jpg', '.jpeg', '.png', '.heic']
file_extension = os.path.splitext(uploaded_file.name)[1].lower()
if file_extension not in allowed_extensions:
file_result.update({
"status": "failed",
"error": f"サポートされていないファイル形式: {file_extension}"
})
failed_uploads += 1
processed_files.append(file_result)
continue
# ファイルサイズの確認
max_size = getattr(settings, 'BULK_UPLOAD_MAX_FILE_SIZE', 10 * 1024 * 1024) # 10MB
if uploaded_file.size > max_size:
file_result.update({
"status": "failed",
"error": f"ファイルサイズが大きすぎます: {uploaded_file.size / (1024*1024):.1f}MB"
})
failed_uploads += 1
processed_files.append(file_result)
continue
# ファイルの保存
timestamp = timezone.now().strftime("%Y%m%d_%H%M%S")
safe_filename = f"{timestamp}_{index+1:03d}_{uploaded_file.name}"
file_path = os.path.join(upload_dir, safe_filename)
# ファイル保存
saved_path = default_storage.save(file_path, uploaded_file)
full_path = os.path.join(settings.MEDIA_ROOT, saved_path)
file_result.update({
"status": "uploaded",
"saved_path": saved_path,
"file_url": f"{settings.MEDIA_URL}{saved_path}"
})
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# EXIF情報の抽出とチェックイン作成
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if auto_process:
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logger.info(f"[BULK_UPLOAD] 🔍 Starting EXIF processing for {uploaded_file.name}")
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# ファイルポインタを先頭に戻す
uploaded_file.seek(0)
# EXIF情報の抽出
exif_data = extract_exif_data(uploaded_file)
if exif_data['has_gps']:
logger.info(f"[BULK_UPLOAD] 📍 GPS data found - lat: {exif_data['latitude']}, lon: {exif_data['longitude']}, datetime: {exif_data['datetime']}")
# 最も近いチェックポイントを検索
nearest_checkpoint = find_nearest_checkpoint(
exif_data['latitude'],
exif_data['longitude'],
event_code
)
if nearest_checkpoint:
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# ファイルポインタを先頭に戻すS3アップロード用
uploaded_file.seek(0)
# チェックインデータを作成S3アップロードとCheckinImages登録も含む
checkin_result = create_checkin_from_photo(
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entry,
nearest_checkpoint,
exif_data['datetime'],
zekken_number,
event_code,
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uploaded_file,
exif_data,
request_id,
request.user
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)
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if checkin_result and checkin_result['gps_checkin']:
gps_checkin = checkin_result['gps_checkin']
checkin_image = checkin_result['checkin_image']
s3_info = checkin_result['s3_info']
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file_result.update({
"auto_process_status": "success",
"auto_process_message": f"チェックイン作成完了",
"checkin_info": {
"checkpoint_name": nearest_checkpoint.location,
"cp_number": nearest_checkpoint.cp_number,
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"points": gps_checkin.points,
"checkin_time": gps_checkin.create_at.strftime("%Y-%m-%d %H:%M:%S"),
"checkin_id": gps_checkin.id,
"was_existing": not checkin_result['created']
},
"s3_info": {
"uploaded": s3_info['success'],
"s3_url": s3_info['s3_url'],
"error": s3_info['error']
},
"checkin_image_info": {
"created": checkin_image is not None,
"image_id": checkin_image.id if checkin_image else None
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},
"gps_info": {
"latitude": exif_data['latitude'],
"longitude": exif_data['longitude'],
"photo_datetime": exif_data['datetime'].strftime("%Y-%m-%d %H:%M:%S") if exif_data['datetime'] else None
}
})
else:
file_result.update({
"auto_process_status": "failed",
"auto_process_message": "チェックイン作成に失敗しました",
"checkpoint_info": {
"checkpoint_name": nearest_checkpoint.location,
"cp_number": nearest_checkpoint.cp_number
}
})
else:
file_result.update({
"auto_process_status": "no_checkpoint",
"auto_process_message": "近くにチェックポイントが見つかりませんでした",
"gps_info": {
"latitude": exif_data['latitude'],
"longitude": exif_data['longitude'],
"photo_datetime": exif_data['datetime'].strftime("%Y-%m-%d %H:%M:%S") if exif_data['datetime'] else None
}
})
else:
file_result.update({
"auto_process_status": "no_gps",
"auto_process_message": "GPS情報が見つかりませんでした",
"exif_info": {
"has_datetime": exif_data['datetime'] is not None,
"photo_datetime": exif_data['datetime'].strftime("%Y-%m-%d %H:%M:%S") if exif_data['datetime'] else None
}
})
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successful_uploads += 1
logger.info(f"[BULK_UPLOAD] ✅ File uploaded - ID: {request_id}, filename: {uploaded_file.name}, size: {uploaded_file.size}")
except Exception as file_error:
file_result.update({
"status": "failed",
"error": f"ファイル処理エラー: {str(file_error)}"
})
failed_uploads += 1
logger.error(f"[BULK_UPLOAD] ❌ File processing error - ID: {request_id}, filename: {uploaded_file.name}, error: {str(file_error)}")
processed_files.append(file_result)
# 処理結果のサマリー
logger.info(f"[BULK_UPLOAD] ✅ Upload completed - ID: {request_id}, successful: {successful_uploads}, failed: {failed_uploads}")
# 成功レスポンス
return Response({
"status": "OK",
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"message": "写真の一括アップロードとチェックイン処理が完了しました",
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"upload_summary": {
"total_files": len(uploaded_files),
"successful_uploads": successful_uploads,
"failed_uploads": failed_uploads,
"upload_time": timezone.now().strftime("%Y-%m-%d %H:%M:%S")
},
"team_info": {
"team_name": entry.team.team_name,
"zekken_number": zekken_number,
"event_code": event_code
},
"processed_files": processed_files,
"auto_process_enabled": auto_process,
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"processing_summary": {
"gps_found": len([f for f in processed_files if f.get('auto_process_status') == 'success']),
"checkins_created": len([f for f in processed_files if f.get('checkin_info')]),
"no_gps": len([f for f in processed_files if f.get('auto_process_status') == 'no_gps']),
"no_checkpoint": len([f for f in processed_files if f.get('auto_process_status') == 'no_checkpoint'])
}
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})
except Exception as e:
logger.error(f"[BULK_UPLOAD] 💥 Unexpected error - ID: {request_id}, error: {str(e)}", exc_info=True)
return Response({
"status": "ERROR",
"message": "サーバーエラーが発生しました"
}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
@api_view(['GET'])
@permission_classes([IsAuthenticated])
def get_bulk_upload_status(request):
"""
一括アップロードの処理状況を取得する
パラメータ:
- event_code: イベントコード (必須)
- zekken_number: ゼッケン番号 (必須)
"""
request_id = str(uuid.uuid4())[:8]
logger.info(f"[BULK_STATUS] 🎯 API call started - ID: {request_id}, User: {request.user.email}")
try:
event_code = request.GET.get('event_code')
zekken_number = request.GET.get('zekken_number')
if not all([event_code, zekken_number]):
return Response({
"status": "ERROR",
"message": "イベントコードとゼッケン番号が必要です"
}, status=status.HTTP_400_BAD_REQUEST)
# チーム権限の確認
event = NewEvent2.objects.filter(event_name=event_code).first()
if not event:
return Response({
"status": "ERROR",
"message": "指定されたイベントが見つかりません"
}, status=status.HTTP_404_NOT_FOUND)
entry = Entry.objects.filter(event=event, team__zekken_number=zekken_number).first()
if not entry or entry.owner != request.user:
return Response({
"status": "ERROR",
"message": "このチームの情報にアクセスする権限がありません"
}, status=status.HTTP_403_FORBIDDEN)
# TODO: 実際の処理状況を取得
# TODO: アップロードされたファイル一覧
# TODO: EXIF解析状況
# TODO: 自動チェックイン生成状況
return Response({
"status": "OK",
"team_info": {
"team_name": entry.team.team_name,
"zekken_number": zekken_number,
"event_code": event_code
},
"upload_status": {
"total_uploaded_files": 0,
"processed_files": 0,
"pending_files": 0,
"auto_checkins_generated": 0,
"manual_review_required": 0
},
"implementation_status": "基本機能実装完了、詳細処理は今後実装予定"
})
except Exception as e:
logger.error(f"[BULK_STATUS] 💥 Unexpected error - ID: {request_id}, error: {str(e)}", exc_info=True)
return Response({
"status": "ERROR",
"message": "サーバーエラーが発生しました"
}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)