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refactor: 优化代码结构和可读性 feat: 添加http_limit模块实现请求限制功能 fix: 修复异步任务中使用time.sleep的问题 chore: 更新依赖项并添加pytest测试框架 docs: 更新项目描述信息 perf: 优化Redis序列化方式使用JSON替代pickle test: 添加测试相关配置和依赖
137 lines
4.2 KiB
Python
137 lines
4.2 KiB
Python
from app.api.v1.module_system.auth.schema import AuthSchema
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from app.core.exceptions import CustomException
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from app.utils.excel_util import ExcelUtil
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from .crud import OperationLogCRUD
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from .schema import (
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OperationLogCreateSchema,
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OperationLogOutSchema,
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OperationLogQueryParam,
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)
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class OperationLogService:
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"""
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日志模块服务层
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"""
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@classmethod
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async def get_log_detail_service(cls, auth: AuthSchema, id: int) -> dict:
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"""
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获取日志详情
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参数:
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- auth (AuthSchema): 认证信息模型
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- id (int): 日志 ID
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返回:
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- dict: 日志详情字典
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"""
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log = await OperationLogCRUD(auth).get_by_id_crud(id=id)
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log_dict = OperationLogOutSchema.model_validate(log).model_dump()
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return log_dict
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@classmethod
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async def get_log_list_service(
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cls,
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auth: AuthSchema,
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search: OperationLogQueryParam | None = None,
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order_by: list | None = None,
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) -> list[dict]:
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"""
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获取日志列表
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参数:
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- auth (AuthSchema): 认证信息模型
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- search (OperationLogQueryParam | None): 日志查询参数模型
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- order_by (list | None): 排序字段列表
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返回:
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- list[dict]: 日志详情字典列表
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"""
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log_list = await OperationLogCRUD(auth).get_list_crud(
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search=search.__dict__, order_by=order_by
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)
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log_dict_list = [OperationLogOutSchema.model_validate(log).model_dump() for log in log_list]
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return log_dict_list
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@classmethod
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async def create_log_service(cls, auth: AuthSchema, data: OperationLogCreateSchema) -> dict:
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"""
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创建日志
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参数:
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- auth (AuthSchema): 认证信息模型
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- data (OperationLogCreateSchema): 日志创建模型
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返回:
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- dict: 日志详情字典
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"""
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new_log = await OperationLogCRUD(auth).create(data=data)
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new_log_dict = OperationLogOutSchema.model_validate(new_log).model_dump()
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return new_log_dict
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@classmethod
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async def delete_log_service(cls, auth: AuthSchema, ids: list[int]) -> None:
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"""
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删除日志
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参数:
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- auth (AuthSchema): 认证信息模型
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- ids (list[int]): 日志 ID 列表
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返回:
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- None
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"""
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if len(ids) < 1:
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raise CustomException(msg="删除失败,删除对象不能为空")
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await OperationLogCRUD(auth).delete(ids=ids)
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@classmethod
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async def export_log_list_service(cls, operation_log_list: list[dict]) -> bytes:
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"""
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导出日志信息
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参数:
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- operation_log_list (list[dict]): 操作日志信息列表
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返回:
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- bytes: 操作日志信息excel的二进制数据
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"""
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# 操作日志字段映射
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mapping_dict = {
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"id": "编号",
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"type": "日志类型",
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"request_path": "请求URL",
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"request_method": "请求方式",
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"request_payload": "请求参数",
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"request_ip": "操作地址",
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"login_location": "登录位置",
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"request_os": "操作系统",
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"request_browser": "浏览器",
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"response_json": "返回参数",
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"response_code": "相应状态",
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"process_time": "处理时间",
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"description": "备注",
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"created_time": "创建时间",
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"updated_time": "更新时间",
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"created_id": "创建者ID",
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"updated_id": "更新者ID",
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}
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# 处理数据
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data = operation_log_list.copy()
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for item in data:
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# 处理状态
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item["response_code"] = "成功" if item.get("response_code") == 200 else "失败"
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# 处理日志类型 - 修正与schema.py保持一致
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item["type"] = "登录日志" if item.get("type") == 1 else "操作日志"
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item["creator"] = (
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item.get("creator", {}).get("name", "未知")
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if isinstance(item.get("creator"), dict)
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else "未知"
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)
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return ExcelUtil.export_list2excel(list_data=data, mapping_dict=mapping_dict)
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