44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
import datetime
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import json
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from functools import wraps
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from typing import Any
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from encryption.encryption import aes_encrypt
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from schema.response_schema import APIResponse
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# 假设SensitiveResponse等是Pydantic模型，需导入BaseModel
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from pydantic import BaseModel
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def encrypt_response(field: str = "data"):
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"""接口返回值加密装饰器：正确序列化自定义对象为JSON"""
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def decorator(func):
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@wraps(func)
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async def wrapper(*args, **kwargs):
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original_response: APIResponse = await func(*args, **kwargs)
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field_value = getattr(original_response, field)
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if not field_value:
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return original_response
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# 自定义JSON序列化函数：处理Pydantic模型和datetime
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def json_default(obj: Any) -> Any:
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# 处理Pydantic模型（转换为字典）
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if isinstance(obj, BaseModel):
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return obj.model_dump() # Pydantic v2用model_dump()，v1用dict()
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# 处理datetime（转换为ISO格式字符串）
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if isinstance(obj, datetime):
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return obj.isoformat()
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# 其他无法序列化的类型，可根据需要扩展
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return str(obj) # 作为最后兜底
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# 使用自定义序列化函数，确保生成标准JSON
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field_value_json = json.dumps(field_value, default=json_default)
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encrypted_data = aes_encrypt(field_value_json)
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setattr(original_response, field, encrypted_data)
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return original_response
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return wrapper
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return decorator |