185 lines
6.6 KiB
Markdown
185 lines
6.6 KiB
Markdown
---
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title: MROTemp 项目概览
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type: curated
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permalink: main/projects/991bd0b4-6f60-47c0-8e47-1bb256c04653/curated/mrotemp-项目概览
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stable_id: 168cdd47-5b20-4ce0-ab8a-c608a2015d0a
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scope: project
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project_id: 991bd0b4-6f60-47c0-8e47-1bb256c04653
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workspace_type: development
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usage_profile_id: null
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preference_context: development
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memory:09d9ff03-0cbd-4551-9b74-f5953855e4a3: '1'
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memory:239b53ab-c40a-4c6f-978f-f5e97d45f49f: '1'
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preferences:
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- statement: 使用最简单且正确的实现（KISS & YAGNI）。
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level: scenario
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- development
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- global_guidance_document:2b47472d-3ac2-4394-8646-c6bf1c0fc270
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confidence: 1.0
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status: current
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- statement: 复用项目已有的框架、服务、工具和约定，避免重复实现。
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level: scenario
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workspace_types:
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status: current
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level: scenario
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workspace_types:
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status: current
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- statement: 在任何登录、SSH、数据库或 API 调用前先查询 Vaultwarden；若唯一匹配直接使用。
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level: scenario
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level: scenario
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level: scenario
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status: current
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level: scenario
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workspace_types:
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confidence: 1.0
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status: current
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source_cursor: 53
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source_hash: cd96d5b27b5d1ef34ff30350e40c12b9d9b7e389c5813755521578d1f2597d9c
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prompt_version: 2026-08-12.3
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schema_version: '3'
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curation_job_id: null
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created_at: '2026-08-13T03:10:47.814877+00:00'
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updated_at: '2026-09-23T15:02:43.615859+00:00'
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tags:
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- 概览
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- 项目
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- 开发原则
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- Windows
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- GBK
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restored_from_commit: 6a6a895eafcca6052e81a14fca103a42635dd1c2
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---
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## 项目概述
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MROTemp 是一个用于批量将 ZTE LTE MRO XML 文件转换为 GBK 编码 CSV 的 **development** 工作区。项目根目录位于 `e:\\Data\\Users\\Administrator\\Downloads\\MROTemp`，已创建 Python 虚拟环境 `.venv` 并安装 `lxml==6.1.1`。
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### 目录结构
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- `source/` – 放置待处理的 XML 文件。
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- `output/` – 脚本生成的 CSV 文件，文件名形式 `MRO_<YYYYMMDDHHMMSS>.csv`，采用 GBK 编码。
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- `aidocs/` – 本地项目记忆 (`project_context.md`)，不提交到 Git，记录开发日志。
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- `mro_to_csv.py` – 主转换脚本，仅提取 **第一个 measurement**，在解析到第二个时停止。
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### 关键实现要点
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- **字段**：`FileName, eNB, id, MmeUeS1apId, MmeCode, MmeGroupId, TimeStamp` + 31 个去除 `MR.` 前缀的业务字段。
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- **编码**：GBK，兼容 Windows 中文控制台。
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- **执行方式**：在 Windows 命令行激活虚拟环境后运行 `.venv\\Scripts\\python.exe mro_to_csv.py`。
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- **验证**：使用样例文件 `FDD-LTE_MRO_ZTE_OMC1_854879_20260813000000.xml` 成功生成 8589 行 CSV，首行/尾行分别对应 XML 中相应字段。
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> **注意**：脚本默认只处理第一个 measurement，除非用户明确要求导出全部 measurement（`--all-measurements`）。
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### 适用原则
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- **KISS & YAGNI**：实现保持最简且正确，未添加仅为假设需求的依赖或抽象。 *(来源 `memory:bf88c265-4749-4c50-85bc-4bae25298cd5`)*
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- **复用现有框架**：仅使用已配置的 `.venv` 与 `lxml`，不额外引入库。 *(同上)*
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- **AI 与 Git 集成**：默认禁用，除非显式配置。 *(来源 `memory:3f91189b-11a1-45bb-8357-4f413dc1609d`)*
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- **凭证管理**：所有登录、SSH、API 调用前先查询 Vaultwarden，唯一匹配直接使用；新凭证立即写入密码库。 *(来源 `memory:105b328f-4bda-4641-90a7-7282ef156316`)*
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- **语言与平台**：默认使用中文沟通，所有路径、命令均在 Windows 环境下可执行。 *(来源 `memory:6973450e-6ecc-48e3-8cdd-4d7d7707d843`)*
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### 记忆与提交工作流
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- 项目记忆存放于 `aidocs/project_context.md`，顶部为固定说明，随后按 **最新优先**、秒级时间戳追加条目。 *(来源 `memory:5ed86f53-b53e-4534-8e51-d3a010069d5e`)*
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- 完成任务后：清理临时文件 → 更新记忆 → 检查工作树 → 使用 `type: 中文说明` 格式提交有意义的改动。
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### 标签
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- 项目概览
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- 开发原则
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- Windows
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- GBK
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- 记忆工作流 |