es-num-old">
+from utils.redis.rorder import get_lensman_order_record
+from utils.sql.raw import PAI2_HOME_API, PAI2_HOME_WX_API
+from utils.time_utils import origin_expired_stamps
+from utils.url_utils import share_url
+
+
+def get_home_photos(request):
+ user_id = get_query_value(request, 'user_id')
+ page = get_query_value(request, 'page', default=1, val_cast_func=int)
+ num = get_query_value(request, 'num', default=settings.PAI2_HOME_PER_PAGE, val_cast_func=int)
+
+ # 执行原生 SQL 语句,获取首页照片列表
+ cursor = connection.cursor()
+ cursor.execute((PAI2_HOME_WX_API if request.weixin else PAI2_HOME_API).format(
+ user_id=user_id,
+ offset=0,
+ rows=settings.PAI2_HOME_MAX_ROWS,
+ ))
+ rows = cursor.fetchall()
+
+ # 首页照片分页
+ rows, left = pagination(rows, page, num)
+
+ # 首页照片信息
+ rows = [{
+ 'group_id': row[0],
+ 'group_name': row[1],
+ 'group_default_avatar': row[2],
+ 'group_avatar': row[3],
+ 'group_from': row[4],
+ 'photo_id': row[5],
+ 'photo_url': qiniu_file_url(row[6], bucket='watermark' if row[7] else 'photo'),
+ 'photo_w': row[8],
+ 'photo_h': row[9],
+ 'photo_thumbnail_url': qiniu_file_url(row[10], bucket='thumbnail'),
+ 'photo_thumbnail_w': row[11],
+ 'photo_thumbnail_h': row[12],
+ 'photo_thumbnail2_url': qiniu_file_url(row[13], bucket='thumbnail2'),
+ 'photo_thumbnail2_w': row[14],
+ 'photo_thumbnail2_h': row[15],
+ 'photo_share_url': share_url(row[5]), # Warning: Index of This Line is 5
+ 'user_id': row[16],
+ 'nickname': row[17],
+ 'avatar': row[18],
+ 'comment_num': row[19],
+ 'thumbup_num': row[20],
+ 'photo_from': row[21],
+ 'session_id': row[22],
+ 'nomark': row[23],
+ 'origin': row[24],
+ 'created_at': row[25],
+ 'origin_expired_stamps': origin_expired_stamps(row[25], row[16]),
+ 'thumbup': get_group_photo_thumbup_flag(row[5], user_id),
+ 'porder': get_lensman_order_record(row[5], user_id) if row[21] == GroupPhotoInfo.SESSION_GROUP else {},
+ 'display_payment_btn': row[21] == GroupPhotoInfo.SESSION_GROUP and row[27] not in [GroupPhotoInfo.OUTTAKE],
+ 'longitude': row[28],
+ 'latitude': row[29],
+ 'location': row[30],
+ } for row in rows]
+
+ session_photos = map(lambda x: {'session_id': x[0], 'photos': list(x[1])}, itertools.groupby(rows, lambda x: x.get('session_id', '')))
+
+ return rows, session_photos, left