docs: settle host import leading-star and lookup label contract
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@@ -9,10 +9,15 @@
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- 小节正文写用户能看懂的变化(新能力、修复、注意事项),避免堆砌内部实现细节
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- 打 tag 前**必须**为即将发布的版本新增一节;找不到匹配小节时,本次发布不会更新 changelog 字段
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## 1.0.126
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- 沉淀 `replaces: import` 宿主契约:表头必填红星在前(`*显示名`),技能须同时兼容前/后缀 `*`;lookup 单元格可为 `{value} · {label}`
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- 新增可复用模块 `scripts/service/table_file_import.py` 与单测;更新 ACTIONS / SCHEMA / CHECKLIST A4-14 / replaces-import 示例
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## 1.0.125
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- 固化免费 PyArmor Trial 发布约定:行数门槛是预防线;实际失败时按日志定位模块并按职责拆分,保留兼容门面,以 Gitea Trial 加密结果验收
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- 记录 field_locator 拆分后同一免费 Trial 链路成功的复盘案例;不使用未经验证的统一字节数阈值
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- 记录 field_locator 拆分后同一免费 Trial 链路成功的复盘案例;不使用未经验证的统一字节数规则
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## 1.0.124
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2
SKILL.md
2
SKILL.md
@@ -1,7 +1,7 @@
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---
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name: 技能开发模板(通用业务版)
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description: "OpenClaw 通用业务技能开发模板,供复制后定制新业务 skill。定制步骤见 development/DEVELOPMENT.md。"
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version: 1.0.125
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version: 1.0.126
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author: 深圳匠厂科技有限公司
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metadata:
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openclaw:
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@@ -14,4 +14,4 @@
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- `bind-visible-when-row.action.example.json`:行菜单显隐 `bind.visibleWhen` 形状参考(按当前行状态显示/隐藏行按钮;见 `references/ACTIONS.md`「行菜单显隐」)。
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- `selection-label-column.action.example.json`:选择摘要 `bind.labelColumn` 形状参考(见 `references/ACTIONS.md`「选择摘要」)。
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- `selection-mode-optional.action.example.json`:`bind.selectionMode: "optional"` 智能勾选/按数量合并形状参考(含 `cron`:配置页按无勾选分支,只见数量字段);用户可见文案为口语中文(见 `references/ACTIONS.md`「勾选驱动模式」「用户可见文案」)。
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- `replaces-create.action.example.json` / `replaces-update.action.example.json` / `replaces-delete.action.example.json` / `replaces-import.action.example.json`:数据管理默认按钮接管(`replaces`)形状参考;**import 时 UI 仍用宿主「导入数据」面板**,确认后调技能写库(见 `references/ACTIONS.md`「`replaces`」)。
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- `replaces-create.action.example.json` / `replaces-update.action.example.json` / `replaces-delete.action.example.json` / `replaces-import.action.example.json`:数据管理默认按钮接管(`replaces`)形状参考;**import 时 UI 仍用宿主「导入数据」面板**,确认后调技能写库(见 `references/ACTIONS.md`「`replaces`」)。实现 import 解析时复用 `scripts/service/table_file_import.py`(兼容宿主前缀 `*` 表头与 `{value} · {label}` lookup 单元格)。
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@@ -1,7 +1,7 @@
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{
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"id": "item-import",
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"label": "导入记录",
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"description": "由宿主「导入数据」面板调用:解析 Excel/CSV 并写入业务表(含领域校验与派生字段)。",
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"description": "由宿主「导入数据」面板调用:解析 Excel/CSV 并写入业务表(含领域校验与派生字段)。表头可带前/后缀*;lookup 列可为「编号 · 名称」。",
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"replaces": "import",
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"placements": [],
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"executionProfile": "sync",
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@@ -19,7 +19,7 @@
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"filePath": {
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"type": "string",
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"title": "导入文件",
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"description": "由宿主导入面板传入的 Excel/CSV 路径。",
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"description": "由宿主导入面板传入的 Excel/CSV 路径。表头:显示名(可带前/后缀*);关联列可填编号或「编号 · 名称」。",
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"format": "file"
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},
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"onError": {
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@@ -116,6 +116,7 @@ checklist_version: 1.0
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- [ ] A4-11 **P1** 若行操作应按业务状态显隐(如仅待确认可「采用」、仅已采用可「加入待写」):用 **`bind.visibleWhen`**(对当前行列值求值;存库原始值如 `approved`);勿指望 Policy L3;CLI 侧仍须校验状态(见 `references/ACTIONS.md`「行菜单显隐」)
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- [ ] A4-12 **P1** 若要在表单里翻页勾选一批业务行(文章、平台等):用 Lookup **`presentation: "paged_table"`**(仍是 `display_type: lookup`,勿新造类型);`skill_cli` 的 stdout 为一行 `{"items","total"}`,0 条也成功退出;该列表命令不要在入口加载整包 platform-kit 或 Playwright(见 `references/ACTIONS.md`「分页勾选小表」)
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- [ ] A4-13 **P1** 若 Action 有固定小枚举(状态/船司/优先级等)需中文展示:用 `enum` + **`enumNames`**,或绑列复用列 `options_json` 数组;宿主优先序为绑列 options → enumNames → 纯 enum;**禁止**为中文展示造假 Lookup(见 `references/ACTIONS.md`「静态枚举 label」)
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- [ ] A4-14 **P0** 若声明 `replaces: import`:表头清洗须兼容宿主**前缀**必填星(`*显示名`)与旧后缀(`显示名*`);lookup 列须能解析 `{value} · {label}`;推荐复用 `scripts/service/table_file_import.py`;**禁止**只 `removesuffix("*")` 导致「字段不能为空」(见 `references/ACTIONS.md`「导入表头与 lookup 单元格」)
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---
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## 5. 账号与浏览器会话(网页 RPA 适用;其他形态标 N/A 或改测等价项)
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@@ -291,6 +291,20 @@ Action 是否提供、挂哪些 `placements`,由本技能 **入口定位表**
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可抄文件见 [`assets/examples/`](../assets/examples/):`replaces-*.action.example.json`。
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### 导入表头与 lookup 单元格(宿主契约,`replaces: import` 必读)
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宿主「下载导入模板」与导入预览已统一:
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| 现象 | 宿主实际写出 | 技能解析须兼容 |
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|------|--------------|----------------|
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| 必填红星 | 写在**显示名前**:`*长尾词`、`* 名称`(表单标签同此) | **前缀 / 后缀** `*` / `*` 都要剥掉后再对 `display_name`;**禁止**只 `removesuffix("*")` |
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| lookup / 关联列 | 单元格常为 `{value} · {label}`,如 `157 · 波兰小包专线` | 取前导整数写库;勿要求用户只填纯数字 |
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| 示例行 | 单元格以 `【示例】` 开头 | 整行跳过,勿当业务数据 |
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写库链路:宿主面板只把 **`filePath` + `onError`** 交给技能;**字段映射下拉结果不传入 CLI**。技能必须自己读文件、洗表头、映射列。预览「看起来有字」不等于技能已认到必填列——只剥后缀 `*` 时,前缀模板会导致「xxx不能为空」。
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**推荐实现:** 直接复用模板内 [`scripts/service/table_file_import.py`](../scripts/service/table_file_import.py)(`normalize_header` / `optional_int` / `load_table_rows`)。Action 文案里写「表头:名称(可带前/后缀*)」即可,**不要**再写死「表头:名称*」误导后人。
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### 示例:create
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```json
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@@ -437,7 +451,7 @@ Action 是否提供、挂哪些 `placements`,由本技能 **入口定位表**
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- 点默认「新增/编辑/删除」时走该 Action 的 `interaction`(create/update 常用 `form`;delete 常用 `confirm`)。
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- 点默认「导入」时**固定**打开宿主导入面板;确认后若有 `replaces:import` 则调用该 Action(`interaction` 不决定是否再弹技能表单)。
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- `update` / `delete` 可用 `inputMapping`(`$row.$pk`、`$selection.ids`)预填主键。
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- `import` 约定:`filePath`(或 `file`)+ 可选 `onError`(`skip`/`abort` 或上例中文枚举);技能自行解析文件与表头。
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- `import` 约定:`filePath`(或 `file`)+ 可选 `onError`(`skip`/`abort` 或上例中文枚举);技能自行解析文件与表头(须兼容宿主前缀 `*` 与 lookup `编号 · 名称`,见上文「导入表头与 lookup 单元格」)。
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- 整表 `_jiangchang_tables.readonly=1` 时仍隐藏宿主默认新增/编辑/导入与直写删除;**若声明了 `replaces: delete`,宿主仍显示「删除」并走技能 CLI**(不直写 SQLite)。
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- **列元数据复用**:Action 表单(含 toolbar/batch 弹窗与 create/update 抽屉)可将 `inputSchema` 字段对齐业务列,复用中文名与列上 **options**(静态枚举 `options_json` **数组**,或已解析的 lookup):
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- 优先让属性名 = 物理列名(如 `carrier_code` / `platform_key`);
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@@ -38,6 +38,8 @@
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- 可在技能安装/更新成功后静默调用 `python scripts/main.py init-db` 做幂等 ensure(内部即 `init_db()`);失败不影响安装结果
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- 若技能启用了单元格呈现(见 [`CELL_PRESENTATION.md`](CELL_PRESENTATION.md)),读取旁路呈现数据并为格子 / 行 / 列 / 区域映射语义样式(`tone`);不猜测业务规则;整行色只涂表格行,不铺到详情字段
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- **导入模板下拉(宿主能力)**:下载「Excel 模板」时,宿主按本表可导入列的元数据自动加 Excel 数据有效性下拉——凡列已有可选集合(`options_json` 静态枚举、schema 已解析的 lookup 选项、未写 options 的 `boolean` 默认「是/否」等)即加下拉;无选项的列仍为自由文本。下拉展示 **label**;导入写库时宿主(或 `replaces: import` 技能)再 **label → value**。CSV 模板**不能**带下拉,可选值仍写在导入弹窗「可导入字段说明」与 Excel「填写说明」页。技能**无需**自备带下拉的模板文件;把字段选项声明在 `_jiangchang_columns` 即可让所有技能受益。宿主不按技能名写死「只支持某几种业务字段」。
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- **导入模板表头必填标记(宿主能力)**:Excel/CSV 表头对必填列统一加**前缀**红星(`*显示名` / `* 显示名`),与新增表单标签一致;**不是**后缀 `显示名*`。走 `replaces: import` 的技能必须按 [`ACTIONS.md`](ACTIONS.md)「导入表头与 lookup 单元格」剥前/后缀 `*` 后再对 `display_name`;推荐复用 [`scripts/service/table_file_import.py`](../scripts/service/table_file_import.py)。
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- **导入模板 lookup 单元格**:用户从下拉选中的值常以 `{value} · {label}` 写入表格(与列表展示一致)。`replaces: import` 技能解析关联列时须能从该展示串取出编号(`optional_int`),不能只接受纯数字。
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## 初始化入口
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216
scripts/service/table_file_import.py
Normal file
216
scripts/service/table_file_import.py
Normal file
@@ -0,0 +1,216 @@
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"""解析数据管理导入用的 Excel / CSV(中文表头、【示例】行跳过)。
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实现 ``replaces: import`` 时请复用本模块,勿只认「后缀 *」表头。
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宿主契约(须兼容):
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- 必填红星写在显示名前:``*长尾词`` / ``* 名称``(旧技能文档可能写 ``名称*``)
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- lookup 单元格可能是 ``157 · 波兰小包专线``(``{value} · {label}``),不只是纯数字
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- 以 ``【示例】`` 开头的单元格所在行应跳过
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"""
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from __future__ import annotations
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import csv
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import re
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from pathlib import Path
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from typing import Any, Iterable, Optional
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EXAMPLE_MARKER = "【示例】"
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DATA_SHEET_NAMES = ("数据", "Sheet1", "sheet1")
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def normalize_on_error(raw: Optional[str]) -> str:
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text = str(raw or "").strip().lower()
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if text in {
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"abort",
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"stop",
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"立即停止,不再导入后续行",
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"立即停止",
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"停止",
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}:
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return "abort"
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# Chinese default / skip variants
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return "skip"
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def normalize_header(header: str) -> str:
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"""归一化导入表头。
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宿主模板把必填红星写在名称前(``*长尾词`` / ``* 长尾词``);
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旧技能文档常用后缀(``长尾词*``)。两侧都要认。
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"""
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text = str(header or "").strip().replace("\ufeff", "")
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for _ in range(4):
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prev = text
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text = text.strip()
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for star in ("*", "*"):
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text = text.removeprefix(star).removesuffix(star).strip()
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for marker in ("(必填)", "(required)"):
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text = text.removeprefix(marker).removesuffix(marker).strip()
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if text == prev:
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break
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return text
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def _is_example_row(cells: Iterable[Any]) -> bool:
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for cell in cells:
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text = str(cell or "").strip()
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if text.startswith(EXAMPLE_MARKER):
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return True
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return False
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def _cell_str(value: Any) -> str:
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if value is None:
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return ""
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if isinstance(value, float) and value.is_integer():
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return str(int(value))
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return str(value).strip()
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def map_headers(
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headers: list[str],
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aliases: dict[str, tuple[str, ...]],
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) -> dict[str, int]:
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"""aliases: field_name -> accepted Chinese/English header names."""
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normalized = [normalize_header(h) for h in headers]
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mapping: dict[str, int] = {}
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for field, names in aliases.items():
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accepted = {normalize_header(n) for n in names}
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accepted.add(normalize_header(field))
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for index, header in enumerate(normalized):
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if header in accepted:
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mapping[field] = index
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break
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return mapping
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def rows_as_dicts(
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headers: list[str],
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data_rows: list[list[Any]],
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*,
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aliases: dict[str, tuple[str, ...]],
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) -> list[dict[str, str]]:
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mapping = map_headers(headers, aliases)
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if not mapping:
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raise ValueError("未识别到有效表头,请使用技能模板或中文列名")
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out: list[dict[str, str]] = []
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for row_index, raw in enumerate(data_rows, start=2):
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if _is_example_row(raw):
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continue
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if not any(_cell_str(c) for c in raw):
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continue
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item: dict[str, str] = {"_row": str(row_index)}
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for field, col in mapping.items():
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item[field] = _cell_str(raw[col] if col < len(raw) else "")
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out.append(item)
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return out
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def read_csv_matrix(path: Path) -> tuple[list[str], list[list[str]]]:
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raw = path.read_bytes()
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text = raw.decode("utf-8-sig")
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try:
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dialect = csv.Sniffer().sniff(text[:4096], delimiters=",\t;")
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except csv.Error:
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dialect = csv.excel
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reader = csv.reader(text.splitlines(), dialect)
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rows = [list(r) for r in reader]
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if not rows:
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raise ValueError("CSV 为空")
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return [str(c) for c in rows[0]], rows[1:]
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def read_xlsx_matrix(path: Path) -> tuple[list[str], list[list[Any]]]:
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try:
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from openpyxl import load_workbook
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except ImportError as exc:
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raise ValueError("读取 Excel 需要 openpyxl,请安装依赖或另存为 CSV 后再导入") from exc
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wb = load_workbook(path, read_only=True, data_only=True)
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try:
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sheet = None
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for name in DATA_SHEET_NAMES:
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if name in wb.sheetnames:
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sheet = wb[name]
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break
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if sheet is None:
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# Prefer first non-guide sheet
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for name in wb.sheetnames:
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if name not in ("填写说明",):
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sheet = wb[name]
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break
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if sheet is None:
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raise ValueError("Excel 中没有可用工作表")
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matrix: list[list[Any]] = []
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for row in sheet.iter_rows(values_only=True):
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matrix.append(list(row))
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if not matrix:
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raise ValueError("Excel 数据表为空")
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headers = [_cell_str(c) for c in matrix[0]]
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return headers, matrix[1:]
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finally:
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wb.close()
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def load_table_rows(
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file_path: str,
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||||
*,
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||||
aliases: dict[str, tuple[str, ...]],
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||||
) -> list[dict[str, str]]:
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path = Path(file_path)
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||||
if not path.is_file():
|
||||
raise FileNotFoundError(f"文件不存在:{path}")
|
||||
suffix = path.suffix.lower()
|
||||
if suffix in {".xlsx", ".xlsm"}:
|
||||
headers, data = read_xlsx_matrix(path)
|
||||
elif suffix in {".csv", ".txt"}:
|
||||
headers, data = read_csv_matrix(path)
|
||||
else:
|
||||
raise ValueError("仅支持 .xlsx / .csv 文件")
|
||||
return rows_as_dicts(headers, data, aliases=aliases)
|
||||
|
||||
|
||||
_STATUS_ALIASES = {
|
||||
"active": "active",
|
||||
"启用": "active",
|
||||
"archived": "archived",
|
||||
"停用": "archived",
|
||||
"pending_review": "pending_review",
|
||||
"待确认": "pending_review",
|
||||
"approved": "approved",
|
||||
"已采用": "approved",
|
||||
"skipped": "skipped",
|
||||
"已跳过": "skipped",
|
||||
"pending": "pending",
|
||||
"待生成": "pending",
|
||||
"generated": "generated",
|
||||
"已生成": "generated",
|
||||
"failed": "failed",
|
||||
"失败": "failed",
|
||||
}
|
||||
|
||||
|
||||
def map_status(raw: str, *, allowed: set[str], default: str) -> str:
|
||||
text = str(raw or "").strip()
|
||||
if not text:
|
||||
return default
|
||||
key = _STATUS_ALIASES.get(text) or _STATUS_ALIASES.get(text.lower()) or text
|
||||
return key if key in allowed else default
|
||||
|
||||
|
||||
def optional_int(raw: str) -> Optional[int]:
|
||||
"""解析编号;兼容宿主 lookup 展示值 ``157 · 波兰小包专线``。"""
|
||||
text = str(raw or "").strip()
|
||||
if not text or text.lower() in {"null", "none", "undefined"}:
|
||||
return None
|
||||
if re.fullmatch(r"-?\d+", text):
|
||||
value = int(text)
|
||||
return None if value <= 0 else value
|
||||
# Host lookup labels: "157 · 名称" / "157·名称" / "157 - 名称"
|
||||
matched = re.match(r"^(-?\d+)\s*[·•\-—||]\s*\S", text)
|
||||
if matched:
|
||||
value = int(matched.group(1))
|
||||
return None if value <= 0 else value
|
||||
raise ValueError(f"编号必须是整数:{text}")
|
||||
@@ -1,6 +1,6 @@
|
||||
"""技能标识、版本与平台公共库约束(复制后请修改 slug/version/logger)。"""
|
||||
|
||||
SKILL_SLUG = "your-skill-slug"
|
||||
SKILL_VERSION = "1.0.125"
|
||||
SKILL_VERSION = "1.0.126"
|
||||
LOG_LOGGER_NAME = "openclaw.skill.your_skill_slug"
|
||||
PLATFORM_KIT_MIN_VERSION = "1.2.11"
|
||||
|
||||
@@ -241,6 +241,8 @@ LOGGING_006_EXEMPT_BASENAMES = frozenset(
|
||||
"task_run_support.py",
|
||||
"entitlement_service.py",
|
||||
"sibling_bridge.py",
|
||||
# Pure Excel/CSV header helpers for replaces:import; no domain side effects.
|
||||
"table_file_import.py",
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@@ -382,6 +382,10 @@ class TestDocsStandards(unittest.TestCase):
|
||||
"drop_deprecated_user_table",
|
||||
"孤儿物理表",
|
||||
"_jiangchang_grid_presentation",
|
||||
"导入模板表头必填标记",
|
||||
"*显示名",
|
||||
"table_file_import.py",
|
||||
"导入模板 lookup 单元格",
|
||||
):
|
||||
self.assertIn(marker, text, msg=f"SCHEMA.md missing {marker!r}")
|
||||
|
||||
@@ -432,8 +436,21 @@ class TestDocsStandards(unittest.TestCase):
|
||||
"visibleWhen",
|
||||
"grid_help",
|
||||
"列筛选",
|
||||
"导入表头与 lookup 单元格",
|
||||
"table_file_import.py",
|
||||
"*长尾词",
|
||||
"{value} · {label}",
|
||||
):
|
||||
self.assertIn(marker, text, msg=f"ACTIONS.md missing {marker!r}")
|
||||
checklist = self._read("development/CHECKLIST.md")
|
||||
self.assertIn("A4-14", checklist)
|
||||
self.assertIn("table_file_import.py", checklist)
|
||||
self.assertTrue(
|
||||
os.path.isfile(
|
||||
os.path.join(get_skill_root(), "scripts/service/table_file_import.py")
|
||||
),
|
||||
msg="scripts/service/table_file_import.py missing",
|
||||
)
|
||||
self.assertTrue(
|
||||
os.path.isfile(
|
||||
os.path.join(get_skill_root(), "assets/examples/lookup-skill-cli.action.example.json")
|
||||
|
||||
67
tests/test_table_file_import.py
Normal file
67
tests/test_table_file_import.py
Normal file
@@ -0,0 +1,67 @@
|
||||
"""宿主导入模板表头 / lookup 展示值契约(replaces:import)。"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import csv
|
||||
import tempfile
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
class TableFileImportTests(unittest.TestCase):
|
||||
def test_normalize_header_host_leading_and_legacy_trailing_star(self) -> None:
|
||||
from service.table_file_import import map_headers, normalize_header
|
||||
|
||||
self.assertEqual(normalize_header("*长尾词"), "长尾词")
|
||||
self.assertEqual(normalize_header("* 长尾词"), "长尾词")
|
||||
self.assertEqual(normalize_header("长尾词*"), "长尾词")
|
||||
self.assertEqual(normalize_header("*关键词*"), "关键词")
|
||||
self.assertEqual(normalize_header("*关键词(必填)"), "关键词")
|
||||
self.assertEqual(normalize_header("名称"), "名称")
|
||||
|
||||
aliases = {
|
||||
"phrase": ("长尾词", "phrase", "问题"),
|
||||
"keyword_id": ("所属关键词", "keyword_id", "关键词编号"),
|
||||
}
|
||||
mapping = map_headers(["*长尾词", "所属关键词"], aliases)
|
||||
self.assertEqual(mapping.get("phrase"), 0)
|
||||
self.assertEqual(mapping.get("keyword_id"), 1)
|
||||
|
||||
mapping_legacy = map_headers(["长尾词*", "所属关键词"], aliases)
|
||||
self.assertEqual(mapping_legacy.get("phrase"), 0)
|
||||
|
||||
def test_optional_int_accepts_lookup_display_label(self) -> None:
|
||||
from service.table_file_import import optional_int
|
||||
|
||||
self.assertEqual(optional_int("157"), 157)
|
||||
self.assertEqual(optional_int("157 · 波兰小包专线"), 157)
|
||||
self.assertEqual(optional_int("157·波兰小包专线"), 157)
|
||||
self.assertEqual(optional_int("2 · 通用私信-留资"), 2)
|
||||
self.assertIsNone(optional_int(""))
|
||||
with self.assertRaises(ValueError):
|
||||
optional_int("波兰小包专线")
|
||||
|
||||
def test_load_table_rows_skips_example_and_maps_leading_star(self) -> None:
|
||||
from service.table_file_import import load_table_rows
|
||||
|
||||
aliases = {
|
||||
"phrase": ("长尾词",),
|
||||
"keyword_id": ("所属关键词",),
|
||||
}
|
||||
with tempfile.TemporaryDirectory() as tmp:
|
||||
path = Path(tmp) / "rows.csv"
|
||||
with path.open("w", encoding="utf-8-sig", newline="") as fh:
|
||||
writer = csv.writer(fh)
|
||||
writer.writerow(["*长尾词", "所属关键词"])
|
||||
writer.writerow(["【示例】示例长尾词", "152 · 示例"])
|
||||
writer.writerow(["波兰小包专线怎么选", "157 · 波兰小包专线"])
|
||||
|
||||
rows = load_table_rows(str(path), aliases=aliases)
|
||||
self.assertEqual(len(rows), 1)
|
||||
self.assertEqual(rows[0]["phrase"], "波兰小包专线怎么选")
|
||||
self.assertEqual(rows[0]["keyword_id"], "157 · 波兰小包专线")
|
||||
self.assertEqual(rows[0]["_row"], "3")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user