mirror of https://github.com/jumpserver/jumpserver
账号备份优化
parent
7ae395f7e8
commit
757e688ab3
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@ -49,16 +49,23 @@ class BaseAccountHandler:
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return header_fields
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@classmethod
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def create_row(cls, account, serializer_cls, header_fields=None):
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serializer = serializer_cls(account)
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if not header_fields:
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header_fields = cls.get_header_fields(serializer)
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data = cls.unpack_data(serializer.data)
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def create_row(cls, data, header_fields):
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data = cls.unpack_data(data)
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row_dict = {}
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for field, header_name in header_fields.items():
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row_dict[header_name] = str(data[field])
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row_dict[header_name] = str(data.get(field, field))
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return row_dict
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@classmethod
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def add_rows(cls, data, header_fields, sheet):
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data_map = defaultdict(list)
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for i in data:
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row = cls.create_row(i, header_fields)
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if sheet not in data_map:
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data_map[sheet].append(list(row.keys()))
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data_map[sheet].append(list(row.values()))
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return data_map
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class AssetAccountHandler(BaseAccountHandler):
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@staticmethod
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@ -73,22 +80,25 @@ class AssetAccountHandler(BaseAccountHandler):
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data_map = defaultdict(list)
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# TODO 可以优化一下查询 在账号上做type的缓存 避免数据量大时连表操作
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accounts = Account.objects.filter(
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qs = Account.objects.filter(
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asset__platform__type__in=types
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).annotate(type=F('asset__platform__type'))
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if not accounts.first():
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if not qs.exists():
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return data_map
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type_dict = dict(Type.CHOICES)
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header_fields = cls.get_header_fields(AccountSecretSerializer(accounts.first()))
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for account in accounts:
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sheet_name = type_dict[account.type]
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row = cls.create_row(account, AccountSecretSerializer, header_fields)
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if sheet_name not in data_map:
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data_map[sheet_name].append(list(row.keys()))
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data_map[sheet_name].append(list(row.values()))
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header_fields = cls.get_header_fields(AccountSecretSerializer(qs.first()))
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account_type_map = defaultdict(list)
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for account in qs:
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account_type_map[account.type].append(account)
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logger.info('\n\033[33m- 共收集 {} 条账号\033[0m'.format(accounts.count()))
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data_map = {}
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for tp, accounts in account_type_map.items():
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sheet_name = type_dict[tp]
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data = AccountSecretSerializer(accounts, many=True).data
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data_map.update(cls.add_rows(data, header_fields, sheet_name))
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logger.info('\n\033[33m- 共收集 {} 条账号\033[0m'.format(qs.count()))
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return data_map
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