feat: 补 MIT 许可、自动抓取工具与学科覆盖元数据
一些检查失败了
ci / lint (push) Failing after 52s

登记 chinese-poetry / ck12 / phet,并让 source schema、lint 与 INDEX 能按学科和抓取进度消费。

Co-authored-by: Cursor <cursoragent@cursor.com>
这个提交包含在:
2026-08-22 01:27:25 +08:00
父节点 4c054340dc
当前提交 a006c8c504
共有 23 个文件被更改,包括 2510 次插入 和 111 次删除

2
.gitignore vendored
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@@ -2,3 +2,5 @@
__pycache__/
*.pyc
.env
.staging/
.cache/

1110
INDEX.json

文件差异内容过多而无法显示 加载差异

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本文件是 `sources/`、`structured/`、`edu-derived` 所有 lint 的**唯一权威依据**。任何 source 记录的 `license`、L3 记录的 `license`、L4 资产的 `license_out` 必须是下表枚举值之一。
## 枚举(8 值)
## 枚举(9 值)
| license | 含义 | 可进 derived | 可商用 | 典型来源 |
|---|---|---|---|---|
| `official-free` | 官方免费发布,允许教学使用 | ✅ | 视条款 | 剑桥样卷/词表、CCF CSP 真题、国家平台导出(仅教学) |
| `mit` | MIT 开源许可,保留版权与许可声明即可 | ✅ | ✅ | chinese-poetry(古诗文)、chinese-xinhua |
| `cc-by` | CC-BY,署名即可 | ✅ | ✅ | PhET |
| `cc-by-sa` | CC-BY-SA 同享 | ✅ | ✅(同享) | ECDICT |
| `cc-nc-education` | 教育/研究用途,非商业 | ✅ 但 `product_safe=false` | ❌ | CEPOC、C-Eval、Ape210K、Math23K、CMATH |
@@ -17,18 +18,20 @@
## 组合规则(lint 强制)
1. **L3 记录对外许可** = 其引用的所有 source license 的**最严格者**(取序:`restricted` > `internal-only` > `unknown` > `cc-nc-education` > `cc-by-sa`/`cc-by`/`official-free`/`llm-generated`)。
1. **L3 记录对外许可** = 其引用的所有 source license 的**最严格者**(取序:`restricted` > `internal-only` > `unknown` > `cc-nc-education` > `cc-by-sa`/`cc-by`/`mit`/`official-free`/`llm-generated`)。
- 例:词库词条 = `official-free` 原词表 + `cc-by-sa` 释义 → 整条按 `cc-by-sa` 对待(须署名)。
- 例:gloss 含 `llm-generated` 部分 → 该字段按 `llm-generated` 处理,记录整体按最严格者。
2. **L4 资产红线**:`inputs` 中出现 `restricted` / `internal-only` / `unknown` → **lint 直接失败**(即"衍生层不得引用受限原始数据"的机器实现)。
3. **`product_safe = true`** 当且仅当全部 inputs ∈ `{official-free, cc-by, cc-by-sa, llm-generated}`。
3. **`product_safe = true`** 当且仅当全部 inputs ∈ `{official-free, mit, cc-by, cc-by-sa, llm-generated}`。
4. `sources/` 条目 `license` 必填且必须合法;`unknown` 状态超过 30 天的条目 lint 报 warning(督促核查)。
5. **署名/声明义务**:`mit` 与 `cc-by`/`cc-by-sa` 均要求保留出处。派生产物对外发布时,须在页面或包内保留来源仓库名与许可声明(MIT 需附原 LICENSE 文本)。
## 红线速记
- **restricted / internal-only 数据永不可进 derived,永不可对外产品使用。** 它们只作内部参考,存在 `edu-raw/` 受控归档。
- `cc-nc-education` 可在内部教研使用、可生成内部衍生资产,但 `product_safe=false`,不得用于对外收费产品。
- 对外产品(自学平台公开内容)只可用 `official-free / cc-by / cc-by-sa / llm-generated` 且 `product_safe=true` 的资产。
- 对外产品(自学平台公开内容)只可用 `official-free / mit / cc-by / cc-by-sa / llm-generated` 且 `product_safe=true` 的资产。
- **公版文本(古诗文等)走 `mit`/`cc-by-sa` 的开源汇编仓库最安全**:文本本身已过版权期,汇编仓库的开源许可只要求署名,因此可对外商用。
## 引用本文件

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@@ -8,17 +8,10 @@ sources:
license_note: "⚠️ 仅限非商业研究/教育用途,禁止商用"
fetch_method: manual-download
status: planned
subjects: [chinese, math, english, physics, chemistry, biology, history, geography, it]
stages: [junior]
items: []
- id: phet
title: PhET 互动仿真(科学/数学)
publisher: University of Colorado Boulder
type: website
url: https://phet.colorado.edu/
license: cc-by
license_note: "CC-BY-4.0,署名即可,可商用"
fetch_method: manual-download
status: planned
items: []
# phet 已拆分至 sources/china/phet.yaml(科学/物理主力来源,含可自动下载的 items)
- id: web-papers
title: 第一试卷网 / 教习网等公开试卷(版权灰)
publisher: 各第三方站点(非官方)
@@ -28,4 +21,6 @@ sources:
license_note: "版权状态不明,集中登记、默认按最严格处理;未经核查不得进 structured/derived"
fetch_method: manual-download
status: planned
subjects: [chinese, math, english, science, morality, physics, chemistry, biology, history, geography, it]
stages: [primary, junior]
items: []

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# 语文 — 公版古诗文开源汇编
#
# 说明:小学/初中语文的「课文、阅读理解、作文范文」几乎全部锁在教材与教辅中(restricted,
# 不可再分发)。语文唯一能合法规模化再分发的路径是「公版文本 + 开源汇编仓库」:
# 文本本体已过版权保护期(进入公有领域),汇编仓库以 MIT 开源,仅要求保留许可声明。
# 因此本 source 是语文学科的主力来源,L4 的阅读理解题/作文素材由此衍生(自有 IP,版权干净)。
sources:
- id: chinese-poetry
title: chinese-poetry 最全中文诗歌古典文集数据库(37 万首)
publisher: chinese-poetry(GitHub 开源社区项目)
type: dataset
url: https://github.com/chinese-poetry/chinese-poetry
license: mit
license_note: >-
仓库 LICENSE 为 MIT(已通过 GitHub API 核实 spdx_id=MIT)。文本本体为历代公版作品,
已进入公有领域。再分发/商用均可,但须保留 MIT 许可声明与来源仓库署名。
fetch_method: git-clone
status: planned
subjects: [chinese]
stages: [primary, junior]
fetched_at: null
items:
# —— 小学/初中核心(优先下载)——
- id: quan-tang-shi
title: 全唐诗 + 全宋诗(含作者表)
oss_key: edu-raw/k9/chinese/chinese-poetry/quan-tang-shi.tar.gz
src_path: "全唐诗"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: >-
仓库「全唐诗/」目录,320 个文件:poet.tang.*.json(唐诗约 5.7 万首)、
poet.song.*.json(宋诗约 25 万首)、authors.tang.json / authors.song.json 作者表。
小学必背古诗与初中古诗文的主力来源。
- id: song-ci
title: 宋词(含作者表)
oss_key: edu-raw/k9/chinese/chinese-poetry/song-ci.tar.gz
src_path: "宋词"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「宋词/」目录,ci.song.*.json 约 2.1 万首 + author.song.json。
- id: shijing
title: 诗经
oss_key: edu-raw/k9/chinese/chinese-poetry/shijing.tar.gz
src_path: "诗经"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「诗经/」目录。初中文言启蒙与「关雎」「蒹葭」等课内篇目。
- id: lunyu
title: 论语
oss_key: edu-raw/k9/chinese/chinese-poetry/lunyu.tar.gz
src_path: "论语"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「论语/」目录。小学「论语十二章」及初中文言文课内篇目。
- id: mengxue
title: 蒙学(三字经/百家姓/千字文/弟子规/千家诗/古文观止/声律启蒙等)
oss_key: edu-raw/k9/chinese/chinese-poetry/mengxue.tar.gz
src_path: "蒙学"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: >-
仓库「蒙学/」目录,13 部:baijiaxing、dizigui、qianziwen、qianjiashi、
guwenguanzhi 等。小学低年级识字与国学启蒙的核心素材。
- id: sishu-wujing
title: 四书五经(大学/中庸/孟子)
oss_key: edu-raw/k9/chinese/chinese-poetry/sishu-wujing.tar.gz
src_path: "四书五经"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「四书五经/」目录:daxue.json、zhongyong.json、mengzi.json(论语见 lunyu 条目)。
- id: chuci
title: 楚辞
oss_key: edu-raw/k9/chinese/chinese-poetry/chuci.tar.gz
src_path: "楚辞"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「楚辞/」目录。初中「离骚」节选等。
# —— 拓展(次优先)——
- id: yuanqu
title: 元曲
oss_key: edu-raw/k9/chinese/chinese-poetry/yuanqu.tar.gz
src_path: "元曲"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「元曲/」目录。初中「天净沙·秋思」等散曲。
- id: wudai-shici
title: 五代诗词
oss_key: edu-raw/k9/chinese/chinese-poetry/wudai-shici.tar.gz
src_path: "五代诗词"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「五代诗词/」目录,含南唐二主词(李煜「虞美人」等课内篇目)。
- id: nalanxingde
title: 纳兰性德词集
oss_key: edu-raw/k9/chinese/chinese-poetry/nalanxingde.tar.gz
src_path: "纳兰性德"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「纳兰性德/」目录。初中「长相思」等。
- id: caocao
title: 曹操诗集
oss_key: edu-raw/k9/chinese/chinese-poetry/caocao.tar.gz
src_path: "曹操诗集"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「曹操诗集/」目录。初中「观沧海」「龟虽寿」。
- id: youmengying
title: 幽梦影
oss_key: edu-raw/k9/chinese/chinese-poetry/youmengying.tar.gz
src_path: "幽梦影"
sha256: null
size: null
media_type: application/gzip
fetch_date: null
status: planned
note: 仓库「幽梦影/」目录。小品文,作文素材向,非课内。
# 未纳入:「御定全唐詩」(繁体,与 quan-tang-shi 内容重复)、「水墨唐诗」(配图素材,
# 如需可后续作为 L4 图片素材单列)、rank/ strains/ loader/(项目脚本与排行,非内容数据)。

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sources/china/ck12.yaml 普通文件
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# 科学 / 物理 — CK-12 FlexBooks(次选,需人工导出)
#
# 定位:内容体系完整(美国 K-12 科学/物理电子课本),但**不可自动下载**——需网页交互
# 或账号导出 PDF/ePub,且为英文,进 L3 前还要翻译改编。因此优先级低于 phet。
# 只在 PhET 覆盖不到的知识点(如系统性的教材式讲解、章末习题)才考虑取用。
sources:
- id: ck12
title: CK-12 FlexBooks — 科学 / 物理开放电子课本
publisher: CK-12 Foundation
type: book
url: https://www.ck12.org/
license: cc-nc-education
license_note: >-
CC BY-NC(署名-非商业)。允许改编与翻译,但**禁止商业使用**,因此 product_safe=false:
可用于内部教研与非商业教学,不得进入对外收费产品。取用前须逐本核实当册许可页。
fetch_method: manual-download
status: planned
subjects: [science, physics]
stages: [primary, junior]
fetched_at: null
items: []
# items 待人工导出后登记。候选册目(英文):
# - Middle School Physical Science / Middle School Physics(初中物理)
# - Middle School Life Science / Earth Science(初中科学)
# - Elementary School Science(小学科学)
# 导出流程:ck12.org 选册 → Download → PDF/ePub → 上传 OSS edu-raw/k9/{science|physics}/ck12/

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sources/china/phet.yaml 普通文件
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# 科学 / 物理 — PhET 互动仿真(可自动下载)
#
# 为什么是主力来源:CC-BY 4.0(署名即可商用再分发)+ 有官方简体中文版 + 单文件可直接 curl。
# 这是科学/物理两科里**唯一既高质量又能全自动下载**的开放资源。
#
# 下载模板(已实测可用,2026-08-22 全部返回 200):
# https://phet.colorado.edu/sims/html/{item-id}/latest/{item-id}_zh_CN.html
# 每个仿真是一个自包含的离线 HTML5 单文件(内联全部 JS/资源),大小约 2–5 MB,
# 下载后可直接本地/内网打开,无需联网。本 source 21 个条目合计约 70 MB。
#
# 注意:并非所有仿真都有 zh_CN 版本。已实测 404 的(geometric-optics-basics、
# sound-waves、my-solar-system)未纳入;新增条目前请先 curl 探测再登记。
sources:
- id: phet
title: PhET 互动仿真 — 简体中文离线单文件(科学/物理)
publisher: University of Colorado Boulder
type: tool
url: https://phet.colorado.edu/
license: cc-by
license_note: >-
CC-BY 4.0,署名即可,允许商用与再分发。对外发布须保留 "PhET Interactive Simulations,
University of Colorado Boulder" 署名与 CC-BY 链接。仿真为交互式工具(非题库),
适合嵌入课程页面作探究活动。
url_template: https://phet.colorado.edu/sims/html/{item_id}/latest/{item_id}_zh_CN.html
fetch_method: curl
status: fetched
subjects: [science, physics, chemistry]
stages: [primary, junior]
fetched_at: 2026-08-22
items:
# ===== 初中物理:力与运动 =====
- id: forces-and-motion-basics
title: 力和运动基础
oss_key: edu-raw/k9/physics/phet/forces-and-motion-basics_zh_CN.html
sha256: 2d5bb20f1243f89e0edc807461481904b61a98dee8438854563658515d800a16
size: 4851186
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|力的合成、摩擦、牛顿定律入门。实测约 4.8 MB。
- id: friction
title: 摩擦力
oss_key: edu-raw/k9/physics/phet/friction_zh_CN.html
sha256: abe2f1ee0de0bb614ab8e00de29f2f6e1668ada97a067e343db306030f1b1320
size: 2081436
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|摩擦生热的微观解释。实测约 2.1 MB。
- id: balancing-act
title: 平衡(杠杆)
oss_key: edu-raw/k9/physics/phet/balancing-act_zh_CN.html
sha256: f8a725c4242c308ba6a6450fd79a93a98a0954c8a697bee88637f68f82148c86
size: 3152716
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|杠杆平衡条件、力矩。实测约 3.2 MB。
- id: hookes-law
title: 胡克定律
oss_key: edu-raw/k9/physics/phet/hookes-law_zh_CN.html
sha256: 3ab65654e49500c721f6bdf7995ab48257b8b894042853731adc5d1e64361f26
size: 2427596
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|弹力与形变的正比关系。
- id: masses-and-springs-basics
title: 质量与弹簧(基础)
oss_key: edu-raw/k9/physics/phet/masses-and-springs-basics_zh_CN.html
sha256: e2802cc4ec2dccde90467fbbda7a47e8dbf37e4a5ce166209501aae38eb8347c
size: 1762060
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|弹簧测力计原理、简谐运动直观。
- id: projectile-motion
title: 抛体运动
oss_key: edu-raw/k9/physics/phet/projectile-motion_zh_CN.html
sha256: a331570b5d2a6225a26b078e25700a3098b7eb4d99a997b1ccfe04a4f7097943
size: 4378652
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理(拓展)|运动的合成与分解,衔接高中。
- id: energy-skate-park-basics
title: 能量滑板公园(基础)
oss_key: edu-raw/k9/physics/phet/energy-skate-park-basics_zh_CN.html
sha256: 33704f185353838f97fde2482d970df456f6ce7c1d34fe487b0303c28c724eb7
size: 4912386
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|动能/势能转化与机械能守恒。实测约 4.9 MB。
# ===== 初中物理:压强与浮力 =====
- id: density
title: 密度
oss_key: edu-raw/k9/physics/phet/density_zh_CN.html
sha256: 1dd91f8c05a0e7839ab5e0a122755ed8808fc46fcd87bc0c08d7ead706f9ebd9
size: 4846707
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|密度概念与沉浮判断。实测约 4.8 MB。
- id: under-pressure
title: 压强(液体内部压强)
oss_key: edu-raw/k9/physics/phet/under-pressure_zh_CN.html
sha256: df9c145fd82f28157427e452da22f84188366960a258aac19c26fecd91106231
size: 1234194
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|液体压强随深度/密度变化。
# ===== 初中物理:电与磁 =====
- id: circuit-construction-kit-dc
title: 直流电路搭建实验
oss_key: edu-raw/k9/physics/phet/circuit-construction-kit-dc_zh_CN.html
sha256: 94efaabb68fc5a61b69a50b0b63953cb38fe5d4b801473fa3348e2833a640fe7
size: 3509296
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|串并联、欧姆定律、电表读数。**电学最重要的一个仿真**。实测约 3.5 MB。
- id: balloons-and-static-electricity
title: 气球与静电
oss_key: edu-raw/k9/physics/phet/balloons-and-static-electricity_zh_CN.html
sha256: fde2657d9ba242fd153a5c4b7bd26a8624a38a25249251094d45af5c870bd09c
size: 3539205
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|电荷转移与摩擦起电。实测约 3.5 MB。
- id: john-travoltage
title: 静电放电(John Travoltage)
oss_key: edu-raw/k9/physics/phet/john-travoltage_zh_CN.html
sha256: ceb1fb773cf93e1e42fab1784f6a72843ff02dda84d3128fac7562fbb767110b
size: 1918798
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|电荷积累与放电现象,趣味性强。
- id: faradays-law
title: 法拉第电磁感应定律
oss_key: edu-raw/k9/physics/phet/faradays-law_zh_CN.html
sha256: 9c3270c9e0d9485779c92400945be32b03ea6148c77b49790c96f55cabab68e8
size: 2227465
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理(拓展)|磁生电,衔接发电机原理。
# ===== 初中物理:光与波 =====
- id: bending-light
title: 光的折射
oss_key: edu-raw/k9/physics/phet/bending-light_zh_CN.html
sha256: 7edcfa3f426b9241485e06c3e9ad132a38c9564e4e1eb2637362bf4c08c0116e
size: 3406402
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|反射/折射定律、色散。实测约 3.4 MB。
- id: wave-on-a-string
title: 绳上的波
oss_key: edu-raw/k9/physics/phet/wave-on-a-string_zh_CN.html
sha256: f7e197797642e04be1d7360681f65bf2df67377d60e53b22a996881801f06b8d
size: 2487284
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 初中物理|波的产生与传播、频率/振幅/波速。实测约 2.5 MB。
- id: color-vision
title: 视觉与颜色
oss_key: edu-raw/k9/physics/phet/color-vision_zh_CN.html
sha256: 26466a0acb4515bbd9fda6d70495a9d713e5c6af8064f6a2e94ec6b4c868c9b8
size: 5772634
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 小学科学 / 初中物理|三原色与色觉形成。
# ===== 小学 / 初中科学 =====
- id: states-of-matter-basics
title: 物态变化(基础)
oss_key: edu-raw/k9/science/phet/states-of-matter-basics_zh_CN.html
sha256: e0b511b18f3d19ee3be0df01c694e1eddf10003aae453ed8ff3e07e8fe5a2fe0
size: 1918612
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 小学科学 / 初中物理|固液气三态与微观粒子模型。实测约 1.9 MB。
- id: gravity-force-lab-basics
title: 万有引力实验(基础)
oss_key: edu-raw/k9/science/phet/gravity-force-lab-basics_zh_CN.html
sha256: 8e302da41a15a1d2d3280082dcf61c495b01b8f606efb4afafdbec328ccab0c5
size: 2888393
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 小学科学 / 初中物理|质量与距离如何影响引力。
- id: gravity-and-orbits
title: 引力与轨道
oss_key: edu-raw/k9/science/phet/gravity-and-orbits_zh_CN.html
sha256: 9c82f56dd60fe2be49036b9b2eedfa74d7fc36fac37f33148bcd82be361688fa
size: 3446870
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 小学科学(天文)|日地月系统、四季与公转。
- id: concentration
title: 溶液浓度
oss_key: edu-raw/k9/science/phet/concentration_zh_CN.html
sha256: 8a8f72ee0281f6032492fe42669e5dac7cf1f9855342c0c0f67acd546a488de5
size: 2621430
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 小学科学 / 初中化学|溶解、浓度、饱和。
- id: ph-scale-basics
title: pH 值(基础)
oss_key: edu-raw/k9/science/phet/ph-scale-basics_zh_CN.html
sha256: 04123b8ae4ba580533f6b784ab8eb26335e244fea71f0051a205b145644137bc
size: 2523039
media_type: text/html
fetch_date: 2026-08-22
status: fetched
note: 小学科学 / 初中化学|酸碱性与常见物质 pH。

查看文件

@@ -8,6 +8,8 @@ sources:
license_note: "官方平台,教学使用;具体导出内容须遵守平台服务条款"
fetch_method: manual-export
status: planned
subjects: [chinese, math, english, science, morality, physics, chemistry, biology, history, geography, it]
stages: [primary, junior]
items: []
- id: tal-scq5k
title: TAL-SCQ5K 小学应用题数据集
@@ -18,6 +20,8 @@ sources:
license_note: "研究/教育用途,非商业(见仓库许可)"
fetch_method: manual-download
status: planned
subjects: [math]
stages: [primary, junior]
items: []
- id: ape210k
title: Ape210K 小学应用题数据集(21万题)
@@ -28,6 +32,8 @@ sources:
license_note: "研究/教育用途,非商业"
fetch_method: git-clone
status: planned
subjects: [math]
stages: [primary]
items: []
- id: math23k
title: Math23K 初中数学应用题数据集
@@ -38,6 +44,8 @@ sources:
license_note: "研究/教育用途,非商业"
fetch_method: git-clone
status: planned
subjects: [math]
stages: [junior]
items: []
- id: cmath
title: CMATH 中文小学数学数据集
@@ -48,4 +56,6 @@ sources:
license_note: "研究/教育用途,非商业"
fetch_method: manual-download
status: planned
subjects: [math]
stages: [primary]
items: []

查看文件

@@ -8,6 +8,8 @@ sources:
license_note: "AMC 真题版权归 MAA,公开传播受限;内部教研参考,禁止再分发/商用。待核查后定级"
fetch_method: manual-download
status: planned
subjects: [amc8, math]
stages: [primary, junior]
items: []
- id: ccf-csp
title: CCF CSP-J/S 历年真题
@@ -18,4 +20,6 @@ sources:
license_note: "CCF 官方公开,允许教学使用"
fetch_method: manual-download
status: planned
subjects: [cspj, it]
stages: [junior]
items: []

查看文件

@@ -8,38 +8,90 @@ sources:
license_note: "官方免费发布,允许教学使用(样卷/词表/听力音频)"
fetch_method: manual-download
status: fetched
fetched_at: "2026-08-21"
subjects: [ket, pet, fce, english]
stages: [primary, junior]
fetched_at: 2026-08-22
items:
- id: a2-key-vocab
title: A2 Key 2020 词汇表 PDF
oss_key: edu-raw/exams/ket/vocab/cambridge-official/a2-key-vocabulary-list.pdf
sha256: null
size: null
sha256: 2abe174d067cd17ffa061cfc4bbbc0e5a55185ac696a5ef8ba49372c753a3ad6
size: 544296
media_type: application/pdf
fetch_date: "2026-08-21"
status: planned
fetch_date: 2026-08-22
status: fetched
note: "vocab JSONL (structured/exams/ket/vocab/) 由此清洗;待 oss_sync 上传"
- id: b1-preliminary-vocab
title: B1 Preliminary 词汇表 PDF
oss_key: edu-raw/exams/pet/vocab/cambridge-official/b1-preliminary-vocabulary-list.pdf
sha256: null
size: null
title: B1 Preliminary 2020 词汇表 PDF
oss_key: edu-raw/exams/pet/vocab/cambridge-official/b1-preliminary-2020-vocabulary-list.pdf
sha256: 85b094be8c214e4da6cb710f0b5450a455ae010ccb4064c5578f68ef6aa139ad
size: 628829
media_type: application/pdf
fetch_date: "2026-08-21"
status: planned
fetch_date: 2026-08-22
status: fetched
note: "B1 词表清洗源;直链域名用 cambridgeenglish.cn(.org 已 404)"
- id: b1-preliminary-vocab-booklet
title: B1 Preliminary 词汇手册 PDF(含释义/例句,较厚)
oss_key: edu-raw/exams/pet/vocab/cambridge-official/b1-preliminary-vocabulary-booklet.pdf
sha256: c4fae109ab5416c7bc68e6686fd9a69abf2428f73e5768ce248d810e612eef20
size: 8202984
media_type: application/pdf
fetch_date: 2026-08-22
status: fetched
- id: a2-key-listening
title: A2 Key 听力音频
oss_key: edu-raw/exams/ket/audio/cambridge-official/a2-key-listening.mp3
sha256: null
size: null
sha256: f50df0695c23148f0caac3cf059fb9028db6ee467e75b993ebb0e60af2f70654
size: 11974884
media_type: audio/mpeg
fetch_date: "2026-08-21"
status: planned
- id: sample-papers
title: 官方样卷包(PDF/MP3/ZIP)
oss_key: edu-raw/exams/ket/sample_papers/cambridge-official/
sha256: null
size: null
fetch_date: 2026-08-22
status: fetched
- id: b1-preliminary-listening
title: B1 Preliminary 听力音频
oss_key: edu-raw/exams/pet/audio/cambridge-official/b1-preliminary-listening.mp3
sha256: 8d2cd238fc9b3fe6342467a0f288a98dfb4481c5239d7bd8539f6d9b4bc76090
size: 26401678
media_type: audio/mpeg
fetch_date: 2026-08-22
status: fetched
# 样卷:oss_key 必须是具体文件(目录形式无法单文件上传/校验)
- id: a2-key-sample-tests-zip
title: A2 Key for Schools 官方样卷包 ZIP
oss_key: edu-raw/exams/ket/sample_papers/cambridge-official/a2-key-for-schools-sample-tests.zip
sha256: 349d83c36718e597322588895a5dfce59e319f773263b3a60d96e0650f784e07
size: 24264467
media_type: application/zip
fetch_date: "2026-08-21"
status: planned
fetch_date: 2026-08-22
status: fetched
- id: b1-preliminary-sample-tests-zip
title: B1 Preliminary for Schools 官方样卷包 ZIP
oss_key: edu-raw/exams/pet/sample_papers/cambridge-official/b1-preliminary-for-schools-sample-tests.zip
sha256: 3e11b30226c492d4dab168b60d8607d19131751e4e465e2e5b20e98c217cc077
size: 23143382
media_type: application/zip
fetch_date: 2026-08-22
status: fetched
- id: a2-key-handbook
title: A2 Key for Schools 考官手册 PDF
oss_key: edu-raw/exams/ket/sample_papers/cambridge-official/a2-key-handbook.pdf
sha256: ebd74b6103c0a06276c6459f5eb947531b49f365bc4df2d52fc7bec85bbd9f0c
size: 7860476
media_type: application/pdf
fetch_date: 2026-08-22
status: fetched
- id: b1-preliminary-handbook
title: B1 Preliminary for Schools 考官手册 PDF
oss_key: edu-raw/exams/pet/sample_papers/cambridge-official/b1-preliminary-handbook.pdf
sha256: fd47cbd4bf647a9188b4e913eafe8a63eb904e4babd7f89fc8abc1ebd47e5d49
size: 9073455
media_type: application/pdf
fetch_date: 2026-08-22
status: fetched
- id: score-conversion
title: 分数换算表 PDF(原始分 → Cambridge Scale)
oss_key: edu-raw/exams/ket/sample_papers/cambridge-official/score-conversion.pdf
sha256: 63e371b4f1dc6d51069a443461af3f3811dac5599ce0f879f867e7521f5d9330
size: 695401
media_type: application/pdf
fetch_date: 2026-08-22
status: fetched

查看文件

@@ -8,23 +8,27 @@ sources:
license_note: "研究/教育用途,非商业(见仓库 licence.txt)"
fetch_method: git-clone
status: fetched
subjects: [ket, pet, fce, english]
stages: [primary, junior]
fetched_at: "2026-08-21"
items:
- id: cepoc-ket-json
title: KET.json(6套68空)
title: KET.json(6套完形)
oss_key: edu-raw/exams/ket/questions/cepoc/KET.json
src_path: KET.json
sha256: null
size: null
media_type: application/json
fetch_date: "2026-08-21"
status: planned
note: "latin1 编码;清洗为 qb-1.1 落 structured/exams/ket/questions/cepoc-a2-key.jsonl"
note: "latin1 编码 JSONL;清洗为 qb-1.1 落 structured/exams/ket/questions/cepoc-a2-key.jsonl"
- id: cepoc-b1-json
title: B1 Preliminary.json(含 FCE 36套360空)
oss_key: edu-raw/exams/pet/questions/cepoc/B1-Preliminary.json
title: PET.json(21套完形,即 B1 Preliminary)
oss_key: edu-raw/exams/pet/questions/cepoc/PET.json
src_path: PET.json
sha256: null
size: null
media_type: application/json
fetch_date: "2026-08-21"
status: planned
note: "清洗为 qb-1.1 落 structured/exams/pet/questions/cepoc-b1-preliminary.jsonl"
note: "repo 实际文件名为 PET.json(此前误登记为 B1-Preliminary.json);清洗落 structured/exams/pet/questions/cepoc-b1-preliminary.jsonl"

查看文件

@@ -8,6 +8,8 @@ sources:
license_note: "自制课件,仅内部参考,禁止再分发/商用"
fetch_method: manual-export
status: archived
subjects: [it]
stages: [primary, junior]
items:
- id: qihang-v1-all
title: 启航班V1 整包归档

查看文件

@@ -8,6 +8,8 @@ sources:
license_note: "自制课件,仅内部参考,禁止再分发/商用"
fetch_method: manual-export
status: archived
subjects: [it]
stages: [primary, junior]
items:
- id: qihang-v2-all
title: 启航班V2 整包归档

查看文件

@@ -8,6 +8,8 @@ sources:
license_note: "自制工程,仅内部参考;若持续演进可未来拆独立 repo"
fetch_method: manual-export
status: archived
subjects: [it]
stages: [primary, junior]
items:
- id: qihang-v3-all
title: 启航班V3 整包归档

查看文件

@@ -8,6 +8,8 @@ sources:
license_note: "自制课件,仅内部参考,禁止再分发/商用"
fetch_method: manual-export
status: archived
subjects: [it]
stages: [primary, junior]
items:
- id: zhizaoying-v1-all
title: 智造营V1 整包归档

查看文件

@@ -3,47 +3,230 @@
"title": "edu-content source registry",
"description": "机器可读的 L1 资源清单。一个 YAML 文件 = 一个域,内含多条 source。source 是四层血缘链的根 id。",
"type": "object",
"required": ["sources"],
"required": [
"sources"
],
"additionalProperties": false,
"properties": {
"sources": {
"type": "array",
"items": { "$ref": "#/definitions/source" }
"items": {
"$ref": "#/definitions/source"
}
}
},
"definitions": {
"source": {
"type": "object",
"required": ["id", "title", "publisher", "type", "license", "status"],
"required": [
"id",
"title",
"publisher",
"type",
"license",
"status",
"subjects"
],
"additionalProperties": false,
"properties": {
"id": { "type": "string", "pattern": "^[a-z0-9][a-z0-9-]*$", "description": "全局唯一 kebab-case,血缘链根 id" },
"title": { "type": "string" },
"publisher": { "type": "string" },
"type": { "type": "string", "enum": ["dataset", "website", "book", "internal", "tool"] },
"url": { "type": ["string", "null"], "description": "internal 可为 null" },
"license": { "type": "string", "enum": ["official-free", "cc-by", "cc-by-sa", "cc-nc-education", "restricted", "internal-only", "llm-generated", "unknown"] },
"license_note": { "type": "string" },
"fetch_method": { "type": "string", "enum": ["curl", "git-clone", "manual-download", "manual-export", "generated"], "description": "unknown 允许暂存" },
"status": { "type": "string", "enum": ["planned", "fetching", "fetched", "failed", "archived"] },
"fetched_at": { "type": ["string", "null"], "pattern": "^\\d{4}-\\d{2}-\\d{2}$|^$" },
"items": { "type": "array", "items": { "$ref": "#/definitions/item" } }
"id": {
"type": "string",
"pattern": "^[a-z0-9][a-z0-9-]*$",
"description": "全局唯一 kebab-case,血缘链根 id"
},
"title": {
"type": "string"
},
"publisher": {
"type": "string"
},
"type": {
"type": "string",
"enum": [
"dataset",
"website",
"book",
"internal",
"tool"
]
},
"url": {
"type": [
"string",
"null"
],
"description": "internal 可为 null"
},
"license": {
"type": "string",
"enum": [
"official-free",
"mit",
"cc-by",
"cc-by-sa",
"cc-nc-education",
"restricted",
"internal-only",
"llm-generated",
"unknown"
]
},
"license_note": {
"type": "string"
},
"fetch_method": {
"type": "string",
"enum": [
"curl",
"git-clone",
"manual-download",
"manual-export",
"generated"
],
"description": "unknown 允许暂存"
},
"status": {
"type": "string",
"enum": [
"planned",
"fetching",
"fetched",
"failed",
"archived"
]
},
"fetched_at": {
"type": [
"string",
"null"
],
"pattern": "^\\d{4}-\\d{2}-\\d{2}$|^$"
},
"items": {
"type": "array",
"items": {
"$ref": "#/definitions/item"
}
},
"subjects": {
"type": "array",
"items": {
"type": "string",
"enum": [
"chinese",
"math",
"english",
"science",
"morality",
"physics",
"chemistry",
"biology",
"history",
"geography",
"it",
"ket",
"pet",
"fce",
"amc8",
"cspj"
]
},
"description": "该来源覆盖的学科/考试域,取值与 structured/ 目录名一致;用于回答『某学科有哪些来源』"
},
"stages": {
"type": "array",
"items": {
"type": "string",
"enum": [
"primary",
"junior"
]
},
"description": "覆盖学段:primary=小学,junior=初中"
},
"url_template": {
"type": [
"string",
"null"
],
"description": "fetch_method=curl 时的下载模板,{item_id} 占位;item.url 优先级更高。例:https://host/sims/{item_id}/{item_id}_zh_CN.html"
}
}
},
"item": {
"type": "object",
"required": ["id", "title"],
"required": [
"id",
"title"
],
"additionalProperties": false,
"properties": {
"id": { "type": "string", "pattern": "^[a-z0-9][a-z0-9-]*$", "description": "source 内唯一" },
"title": { "type": "string" },
"oss_key": { "type": ["string", "null"], "description": "fetched 后必填,形如 edu-raw/exams/ket/vocab/cambridge-official/a2-key-vocab.pdf" },
"sha256": { "type": ["string", "null"], "pattern": "^[a-f0-9]{64}$|^$" },
"size": { "type": ["integer", "null"], "minimum": 0 },
"media_type": { "type": "string" },
"fetch_date": { "type": ["string", "null"], "pattern": "^\\d{4}-\\d{2}-\\d{2}$|^$" },
"status": { "type": "string", "enum": ["planned", "fetching", "fetched", "failed", "archived"] },
"note": { "type": "string" }
"id": {
"type": "string",
"pattern": "^[a-z0-9][a-z0-9-]*$",
"description": "source 内唯一"
},
"title": {
"type": "string"
},
"oss_key": {
"type": [
"string",
"null"
],
"description": "fetched 后必填,形如 edu-raw/exams/ket/vocab/cambridge-official/a2-key-vocab.pdf"
},
"sha256": {
"type": [
"string",
"null"
],
"pattern": "^[a-f0-9]{64}$|^$"
},
"size": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"media_type": {
"type": "string"
},
"fetch_date": {
"type": [
"string",
"null"
],
"pattern": "^\\d{4}-\\d{2}-\\d{2}$|^$"
},
"status": {
"type": "string",
"enum": [
"planned",
"fetching",
"fetched",
"failed",
"archived"
]
},
"note": {
"type": "string"
},
"url": {
"type": [
"string",
"null"
],
"description": "该条目的直接下载地址;缺省时由 source.url_template 渲染"
},
"src_path": {
"type": [
"string",
"null"
],
"description": "fetch_method=git-clone 时,条目在仓库内的相对路径(打包为 oss_key 指向的归档)"
}
}
}
}

231
tools/fetch_source.py 普通文件
查看文件

@@ -0,0 +1,231 @@
#!/usr/bin/env python3
"""fetch_source.py — 按 sources/*.yaml 自动抓取 L2 原始数据到本地 staging。
只处理**可自动化**的 fetch_method:
- curl : 逐 item 下载单文件(item.url,或 source.url_template 渲染 {item_id})
- git-clone : 浅克隆一次仓库,再按 item.src_path 打包成 .tar.gz
manual-download / manual-export / generated 会被跳过(需人工介入)。
用法:
# 看有哪些可自动抓取(不下载)
python tools/fetch_source.py --list
# 试跑:只打印将要下载的 URL / 目标路径
python tools/fetch_source.py --source phet --dry-run
# 实际下载到 .staging/,并回填 sha256/size/fetch_date/status=fetched
python tools/fetch_source.py --source phet --apply
python tools/fetch_source.py --source chinese-poetry --apply
python tools/fetch_source.py --subject physics --apply # 按学科批量
python tools/fetch_source.py --all-auto --apply # 所有可自动化来源
下载产物落在 <repo>/.staging/{source_id}/...(已 gitignore),随后用
python tools/oss_sync.py --raw-root .staging --apply
上传到 OSS 并对齐 oss_key。
注意:回填 YAML 走 yaml_patch(行级替换),**保留文件内注释**。
"""
import os, sys, glob, hashlib, datetime, argparse, subprocess, shutil, tarfile, urllib.request
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from yaml_patch import patch_item_fields, patch_source_fields
REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
STAGING = os.path.join(REPO, ".staging")
CACHE = os.path.join(REPO, ".cache", "repos")
AUTO_METHODS = {"curl", "git-clone"}
UA = "edu-content-fetcher/1.0 (+https://git.aibeaver.cn/fengjunchen/edu-content)"
def sha256_file(p):
h = hashlib.sha256()
with open(p, "rb") as f:
for chunk in iter(lambda: f.read(1 << 20), b""):
h.update(chunk)
return h.hexdigest()
def load_sources():
import yaml
out = []
for path in sorted(glob.glob(os.path.join(REPO, "sources", "**", "*.yaml"), recursive=True)):
try:
doc = yaml.safe_load(open(path, encoding="utf-8"))
except Exception as e:
print(f"WARN: {path} 解析失败: {e}")
continue
for s in (doc or {}).get("sources", []) or []:
out.append((path, s))
return out
def item_url(source, item):
if item.get("url"):
return item["url"]
tpl = source.get("url_template")
if tpl:
return tpl.replace("{item_id}", item["id"])
return None
def fetch_curl(source, item, dest_dir, dry_run):
url = item_url(source, item)
if not url:
return None, "无 url / url_template,跳过"
fname = os.path.basename(item.get("oss_key") or "") or f"{item['id']}"
dest = os.path.join(dest_dir, fname)
if dry_run:
return dest, f"[dry-run] {url} -> {dest}"
os.makedirs(dest_dir, exist_ok=True)
req = urllib.request.Request(url, headers={"User-Agent": UA})
try:
with urllib.request.urlopen(req, timeout=120) as r, open(dest, "wb") as f:
shutil.copyfileobj(r, f)
except Exception as e:
return None, f"下载失败: {type(e).__name__}: {e}"
return dest, f"ok {os.path.getsize(dest)}B"
def ensure_clone(source, dry_run):
"""浅克隆到 .cache/repos/{id},返回本地路径。"""
url = source.get("url")
if not url:
return None, "source.url 为空,无法 clone"
local = os.path.join(CACHE, source["id"])
if os.path.isdir(os.path.join(local, ".git")):
return local, "复用已有克隆"
if dry_run:
return local, f"[dry-run] git clone --depth 1 {url} {local}"
os.makedirs(os.path.dirname(local), exist_ok=True)
r = subprocess.run(["git", "clone", "--depth", "1", url, local],
capture_output=True, text=True, timeout=1800)
if r.returncode != 0:
return None, f"clone 失败: {(r.stderr or '').strip()[:200]}"
return local, "克隆完成"
def fetch_git_item(source, item, repo_dir, dest_dir, dry_run):
"""按 item.src_path 从克隆仓库取内容。
目录 → 打包 .tar.gz;单文件 → 直接复制(除非 oss_key 显式要 .tar.gz)。
否则会产出「名叫 KET.json 其实是 tar.gz」的坑数据。
"""
rel = item.get("src_path")
if not rel:
return None, "缺 src_path,跳过"
src = os.path.join(repo_dir, rel)
fname = os.path.basename(item.get("oss_key") or f"{item['id']}.tar.gz")
dest = os.path.join(dest_dir, fname)
want_tar = fname.endswith((".tar.gz", ".tgz"))
if dry_run:
action = "tar" if want_tar else "copy"
return dest, f"[dry-run] {action} {rel} -> {dest}"
if not os.path.exists(src):
return None, f"仓库内路径不存在: {rel}"
if os.path.isdir(src) and not want_tar:
return None, f"src_path 是目录但 oss_key 不是 .tar.gz({fname}),请修正 oss_key"
os.makedirs(dest_dir, exist_ok=True)
if want_tar:
with tarfile.open(dest, "w:gz") as tf:
tf.add(src, arcname=rel)
else:
shutil.copy2(src, dest)
return dest, f"ok {os.path.getsize(dest)}B"
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--source", help="按 source id 抓取")
ap.add_argument("--subject", help="按学科代码抓取(chinese/physics/science/...)")
ap.add_argument("--all-auto", action="store_true", help="所有 fetch_method 可自动化的来源")
ap.add_argument("--list", action="store_true", help="只列出可自动抓取的来源")
ap.add_argument("--dry-run", action="store_true")
ap.add_argument("--apply", action="store_true")
ap.add_argument("--limit", type=int, default=0, help="每个 source 最多抓 N 个条目(调试用)")
args = ap.parse_args()
all_sources = load_sources()
if args.list:
print(f"{'source':22} {'method':12} {'items':>5} subjects")
print("-" * 70)
for path, s in all_sources:
mark = "" if s.get("fetch_method") in AUTO_METHODS else " (需人工)"
print(f"{s['id']:22} {str(s.get('fetch_method')):12} "
f"{len(s.get('items') or []):5} {','.join(s.get('subjects') or [])}{mark}")
return
# 选择目标
targets = []
for path, s in all_sources:
if s.get("fetch_method") not in AUTO_METHODS:
continue
if args.source and s["id"] != args.source:
continue
if args.subject and args.subject not in (s.get("subjects") or []):
continue
if not (args.source or args.subject or args.all_auto):
continue
targets.append((path, s))
if not targets:
print("没有匹配的可自动抓取来源。用 --list 查看,或检查 --source/--subject 拼写。")
sys.exit(0 if (args.source or args.subject or args.all_auto) else 2)
dry = args.dry_run or not args.apply
today = datetime.date.today().isoformat()
total_ok = total_fail = 0
for path, s in targets:
sid = s["id"]
method = s["fetch_method"]
items = s.get("items") or []
if args.limit:
items = items[:args.limit]
print(f"\n=== {sid} ({method}) — {len(items)} 个条目 ===")
if not items:
print(" items 为空,无可抓取内容(该来源尚未登记具体条目)")
continue
dest_dir = os.path.join(STAGING, sid)
repo_dir = None
if method == "git-clone":
repo_dir, msg = ensure_clone(s, dry)
print(f" clone: {msg}")
if repo_dir is None:
total_fail += len(items)
continue
ok_here = 0
for it in items:
if method == "curl":
dest, msg = fetch_curl(s, it, dest_dir, dry)
else:
dest, msg = fetch_git_item(s, it, repo_dir, dest_dir, dry)
print(f" {it['id']:34} {msg}")
if dest is None:
total_fail += 1
continue
total_ok += 1
ok_here += 1
if not dry and os.path.isfile(dest):
patch_item_fields(path, sid, it["id"], {
"sha256": sha256_file(dest),
"size": os.path.getsize(dest),
"fetch_date": today,
"status": "fetched",
})
if not dry and ok_here:
patch_source_fields(path, sid, {"status": "fetched", "fetched_at": today})
print(f"\n合计:成功 {total_ok} | 失败/跳过 {total_fail}")
if dry:
print("[dry-run] 未实际下载。加 --apply 执行。")
else:
print(f"产物在 {STAGING}/,已回填 sha256/size 到 sources YAML(注释保留)。")
print("下一步上传 OSS: python tools/oss_sync.py --raw-root .staging --apply")
if __name__ == "__main__":
main()

查看文件

@@ -1,58 +1,185 @@
#!/usr/bin/env python3
"""index_build.py — 生成 INDEX.json(机器可读库全貌)。
汇总:资源域、各数据集记录数、license 分布、OSS 前缀、红线摘要。
汇总:资源域、学科覆盖矩阵、抓取进度、各数据集记录数、license 分布、OSS 前缀、红线摘要。
注意:本文件由工具生成,勿手改;CI 在 lint 通过后自动重跑。
"""
import os, glob, json, datetime, collections
REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
def source_summary():
# 与 sources/source.schema.json 的 subjects 枚举保持一致
SUBJECTS = [
"chinese", "math", "english", "science", "morality",
"physics", "chemistry", "biology", "history", "geography", "it",
"ket", "pet", "fce", "amc8", "cspj",
]
STAGES = ["primary", "junior"]
# 可全自动抓取的 fetch_method(fetch_source.py 支持)
AUTO_METHODS = {"curl", "git-clone", "api"}
PRODUCT_SAFE = {"official-free", "mit", "cc-by", "cc-by-sa", "llm-generated"}
def load_sources():
"""返回 [(domain, source_dict, yaml_rel_path)]"""
import yaml
domains, n_sources, lic = {}, 0, collections.Counter()
for path in glob.glob(os.path.join(REPO, "sources", "**", "*.yaml"), recursive=True):
out = []
for path in sorted(glob.glob(os.path.join(REPO, "sources", "**", "*.yaml"), recursive=True)):
rel = os.path.relpath(path, os.path.join(REPO, "sources"))
domain = os.path.dirname(rel)
try: doc = yaml.safe_load(open(path, encoding="utf-8"))
except Exception: continue
domain = os.path.dirname(rel) or "."
try:
doc = yaml.safe_load(open(path, encoding="utf-8"))
except Exception:
continue
for s in (doc or {}).get("sources", []) or []:
n_sources += 1
lic[s.get("license")] += 1
domains.setdefault(domain, 0)
out.append((domain, s, rel))
return out
def source_summary(rows):
domains, lic = collections.Counter(), collections.Counter()
for domain, s, _ in rows:
domains[domain] += 1
return {"domains": domains, "n_sources": n_sources, "license_breakdown": dict(lic)}
lic[s.get("license")] += 1
return {
"domains": dict(domains),
"n_sources": len(rows),
"license_breakdown": dict(lic),
}
def fetch_progress(rows):
"""条目级抓取进度:planned / fetched / uploaded。"""
st = collections.Counter()
n_items = 0
auto, manual = 0, 0
for _, s, _ in rows:
if s.get("fetch_method") in AUTO_METHODS:
auto += 1
else:
manual += 1
for it in s.get("items", []) or []:
n_items += 1
st[it.get("status") or "planned"] += 1
return {
"n_items": n_items,
"by_status": dict(st),
"auto_fetchable_sources": auto,
"manual_sources": manual,
}
def subject_coverage(rows):
"""学科 → 资源覆盖矩阵。每个学科给出源清单、学段、可自动抓取数、条目进度。"""
cov = {}
for subj in SUBJECTS:
cov[subj] = {
"n_sources": 0,
"stages": [],
"auto_fetchable": 0,
"n_items": 0,
"n_fetched": 0,
"product_safe_sources": 0,
"sources": [],
}
for domain, s, rel in rows:
subs = s.get("subjects") or []
auto = s.get("fetch_method") in AUTO_METHODS
items = s.get("items", []) or []
n_fetched = sum(1 for it in items if it.get("status") in ("fetched", "uploaded"))
safe = s.get("license") in PRODUCT_SAFE
entry = {
"id": s.get("id"),
"title": s.get("title"),
"license": s.get("license"),
"fetch_method": s.get("fetch_method"),
"auto_fetchable": auto,
"product_safe": safe,
"stages": s.get("stages") or [],
"n_items": len(items),
"n_fetched": n_fetched,
"yaml": rel,
}
for subj in subs:
if subj not in cov:
cov[subj] = {"n_sources": 0, "stages": [], "auto_fetchable": 0,
"n_items": 0, "n_fetched": 0, "product_safe_sources": 0, "sources": []}
c = cov[subj]
c["n_sources"] += 1
c["auto_fetchable"] += 1 if auto else 0
c["n_items"] += len(items)
c["n_fetched"] += n_fetched
c["product_safe_sources"] += 1 if safe else 0
c["sources"].append(entry)
for st in s.get("stages") or []:
if st not in c["stages"]:
c["stages"].append(st)
for c in cov.values():
c["stages"] = [x for x in STAGES if x in c["stages"]]
return cov
def gaps(cov):
"""缺口清单:完全无源 / 有源但一条都没抓下来 / 有源但无 product_safe。"""
no_source = sorted([k for k, v in cov.items() if v["n_sources"] == 0])
no_data = sorted([k for k, v in cov.items() if v["n_sources"] > 0 and v["n_fetched"] == 0])
no_safe = sorted([k for k, v in cov.items() if v["n_sources"] > 0 and v["product_safe_sources"] == 0])
return {
"subjects_without_source": no_source,
"subjects_without_fetched_data": no_data,
"subjects_without_product_safe_source": no_safe,
}
def structured_summary():
datasets, lic = {}, collections.Counter()
for path in glob.glob(os.path.join(REPO, "structured", "**", "*.jsonl"), recursive=True):
for path in sorted(glob.glob(os.path.join(REPO, "structured", "**", "*.jsonl"), recursive=True)):
rel = os.path.relpath(path, os.path.join(REPO, "structured"))
cnt = 0
for line in open(path, encoding="utf-8"):
line = line.strip()
if not line: continue
if not line:
continue
cnt += 1
try: r = json.loads(line)
except Exception: continue
try:
r = json.loads(line)
except Exception:
continue
l = r.get("license")
if l: lic[l] += 1
if l:
lic[l] += 1
datasets[rel] = cnt
return {"datasets": datasets, "n_records": sum(datasets.values()), "license_breakdown": dict(lic)}
def main():
rows = load_sources()
cov = subject_coverage(rows)
idx = {
"generated_at": datetime.date.today().isoformat(),
"repo": "edu-content",
"model": "L1 source registry (git) + L2 raw (OSS edu-raw/) + L3 structured (git)",
"oss": {"bucket": "edu-content-hy", "region": "oss-cn-heyuan", "prefixes": ["edu-raw/", "edu-derived/"]},
"redline": "restricted / internal-only / unknown 数据永不可进 derived,永不可对外产品使用",
"sources": source_summary(),
"product_safe_licenses": sorted(PRODUCT_SAFE),
"sources": source_summary(rows),
"fetch_progress": fetch_progress(rows),
"subject_coverage": cov,
"gaps": gaps(cov),
"structured": structured_summary(),
"entrypoints": {"human": "README.md", "machine": "INDEX.json", "license": "LICENSES.md", "conventions": "docs/conventions.md"},
}
out = os.path.join(REPO, "INDEX.json")
json.dump(idx, open(out, "w", encoding="utf-8"), ensure_ascii=False, indent=2)
print(f"已生成 {out}:{idx['sources']['n_sources']} source,{idx['structured']['n_records']} 结构化记录")
fp = idx["fetch_progress"]
g = idx["gaps"]
print(f"已生成 {out}")
print(f" source {idx['sources']['n_sources']} 条 | 条目 {fp['n_items']} 个 | 状态 {fp['by_status']}")
print(f" 可自动抓取源 {fp['auto_fetchable_sources']} / 需人工 {fp['manual_sources']}")
print(f" 无源学科:{', '.join(g['subjects_without_source']) or '(无)'}")
print(f" 有源但零数据:{', '.join(g['subjects_without_fetched_data']) or '(无)'}")
print(f" 结构化记录 {idx['structured']['n_records']} 条")
if __name__ == "__main__":
main()

查看文件

@@ -2,7 +2,7 @@
"""lint_sources.py — 校验 sources/ 资源清单合规。
检查项:
- 每个 source 必填字段、id kebab-case 唯一、license/type/status 枚举合法
- 每个 source 必填字段、id kebab-case 唯一、license/type/status/subjects 枚举合法
- status=fetched 的 item 必须有 oss_key + 64位 sha256
- license=unknown 且 fetched_at 距今 > 30 天 → warning
@@ -11,9 +11,12 @@
import sys, os, glob, re, datetime, hashlib
REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
LICENSES = {"official-free","cc-by","cc-by-sa","cc-nc-education","restricted","internal-only","llm-generated","unknown"}
LICENSES = {"official-free","mit","cc-by","cc-by-sa","cc-nc-education","restricted","internal-only","llm-generated","unknown"}
TYPES = {"dataset","website","book","internal","tool"}
STATUSES = {"planned","fetching","fetched","failed","archived"}
SUBJECTS = {"chinese","math","english","science","morality","physics","chemistry",
"biology","history","geography","it","ket","pet","fce","amc8","cspj"}
STAGES = {"primary","junior"}
ID_RE = re.compile(r"^[a-z0-9][a-z0-9-]*$")
SHA_RE = re.compile(r"^[a-f0-9]{64}$")
@@ -42,6 +45,13 @@ def main():
if s.get("type") not in TYPES: err(f"{sid}: type 非法 {s.get('type')}"); errors += 1
if s.get("license") not in LICENSES: err(f"{sid}: license 非法 {s.get('license')}"); errors += 1
if s.get("status") not in STATUSES: err(f"{sid}: status 非法 {s.get('status')}"); errors += 1
subs = s.get("subjects")
if not subs: err(f"{sid}: 缺必填 subjects(覆盖学科,见 LICENSES.md 同级约定)"); errors += 1
else:
for x in subs:
if x not in SUBJECTS: err(f"{sid}: subjects 含非法值 {x}"); errors += 1
for x in (s.get("stages") or []):
if x not in STAGES: err(f"{sid}: stages 含非法值 {x}"); errors += 1
if s.get("license") == "unknown" and s.get("fetched_at"):
try:
d = datetime.date.fromisoformat(s["fetched_at"])

查看文件

@@ -12,7 +12,7 @@
import sys, os, glob, json
REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
LICENSES = {"official-free","cc-by","cc-by-sa","cc-nc-education","restricted","internal-only","llm-generated","unknown"}
LICENSES = {"official-free","mit","cc-by","cc-by-sa","cc-nc-education","restricted","internal-only","llm-generated","unknown"}
def load_source_ids():
import yaml

查看文件

@@ -16,6 +16,9 @@
"""
import os, sys, glob, json, hashlib, datetime, argparse, yaml
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from yaml_patch import patch_item_fields, patch_source_fields
REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SHA_RE = __import__("re").compile(r"^[a-f0-9]{64}$")
@@ -87,19 +90,16 @@ def main():
for path, sid, iid, local, oss_key, sha, size in pending:
b.put_object_from_file(oss_key, local)
print(f" uploaded {oss_key}")
# 回填
doc = yaml.safe_load(open(path, encoding="utf-8"))
for s in doc["sources"]:
if s.get("id") == sid:
for it in s.get("items", []):
if it.get("id") == iid:
it["oss_key"] = oss_key
it["sha256"] = sha
it["size"] = size
it["fetch_date"] = today
it["status"] = "fetched"
yaml.safe_dump(doc, open(path, "w", encoding="utf-8"), allow_unicode=True, sort_keys=False)
print("已回填 sha256/size 到 sources YAML。请 git commit。")
# 回填(行级替换,保留 YAML 注释;勿用 safe_dump 整file重写)
patch_item_fields(path, sid, iid, {
"oss_key": oss_key,
"sha256": sha,
"size": size,
"fetch_date": today,
"status": "fetched",
})
patch_source_fields(path, sid, {"status": "fetched", "fetched_at": today})
print("已回填 oss_key/sha256/size 到 sources YAML(注释保留)。请 git commit。")
if __name__ == "__main__":
main()

126
tools/stage_local.py 普通文件
查看文件

@@ -0,0 +1,126 @@
#!/usr/bin/env python3
"""stage_local.py — 把「已在本机的原始文件」归位到 .staging 并回填 L1 元数据。
适用场景:fetch_method 为 manual-download / manual-export 的来源(官方网站需人工点下载、
需登录、或历史上已经下载过),文件已存在本地磁盘,但 sources/*.yaml 的 item 还挂在
status: planned、sha256/size 为空。
设计原则:**本机绝对路径只在命令行出现,绝不写进仓库**(换机器就失效,属脏数据)。
仓库里只保留 oss_key / sha256 / size / status —— 与机器无关的事实。
用法:
# 单个文件
python tools/stage_local.py --source cambridge-official --item a2-key-vocab \
--file "/abs/path/a2-key-vocabulary-list.pdf"
# 批量:从 TSV 读(source<TAB>item<TAB>abs_path),文件本身放仓库外或 .staging 里
python tools/stage_local.py --manifest /tmp/stage.tsv --apply
# 默认 dry-run,加 --apply 才真正复制 + 回填
"""
import os, sys, glob, shutil, hashlib, datetime, argparse
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from yaml_patch import patch_item_fields, patch_source_fields
REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
STAGING = os.path.join(REPO, ".staging")
def sha256_file(p):
h = hashlib.sha256()
with open(p, "rb") as f:
for chunk in iter(lambda: f.read(1 << 20), b""):
h.update(chunk)
return h.hexdigest()
def load_index():
"""返回 {(source_id, item_id): (yaml_path, source_dict, item_dict)}"""
import yaml
idx = {}
for path in sorted(glob.glob(os.path.join(REPO, "sources", "**", "*.yaml"), recursive=True)):
try:
doc = yaml.safe_load(open(path, encoding="utf-8"))
except Exception:
continue
for s in (doc or {}).get("sources", []) or []:
for it in s.get("items", []) or []:
idx[(s["id"], it["id"])] = (path, s, it)
return idx
def stage_one(idx, sid, iid, src_file, apply_):
key = (sid, iid)
if key not in idx:
return False, f"sources 里找不到 {sid}/{iid}(先在 YAML 登记 item)"
if not os.path.isfile(src_file):
return False, f"本地文件不存在: {src_file}"
path, s, it = idx[key]
oss_key = it.get("oss_key")
if not oss_key:
return False, f"{sid}/{iid} 缺 oss_key,无法确定归位文件名"
fname = os.path.basename(oss_key.rstrip("/"))
if not fname or oss_key.endswith("/"):
return False, f"{sid}/{iid} 的 oss_key 是目录({oss_key}),需改成具体文件名"
dest_dir = os.path.join(STAGING, sid)
dest = os.path.join(dest_dir, fname)
size = os.path.getsize(src_file)
if not apply_:
return True, f"[dry-run] {src_file} -> {os.path.relpath(dest, REPO)} ({size}B)"
os.makedirs(dest_dir, exist_ok=True)
if os.path.abspath(src_file) != os.path.abspath(dest):
shutil.copy2(src_file, dest)
sha = sha256_file(dest)
patch_item_fields(path, sid, iid, {
"sha256": sha,
"size": os.path.getsize(dest),
"fetch_date": datetime.date.today().isoformat(),
"status": "fetched",
})
patch_source_fields(path, sid, {"status": "fetched",
"fetched_at": datetime.date.today().isoformat()})
return True, f"ok {size}B sha256={sha[:12]}..."
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--source")
ap.add_argument("--item")
ap.add_argument("--file")
ap.add_argument("--manifest", help="TSV: source<TAB>item<TAB>abs_path,# 开头为注释")
ap.add_argument("--apply", action="store_true")
args = ap.parse_args()
jobs = []
if args.manifest:
for ln in open(args.manifest, encoding="utf-8-sig"): # utf-8-sig 吃掉 BOM
ln = ln.lstrip("\ufeff").strip()
if not ln or ln.startswith("#"):
continue
parts = ln.split("\t")
if len(parts) < 3:
print(f"WARN 跳过格式错误行: {ln[:80]}")
continue
jobs.append((parts[0].strip(), parts[1].strip(), parts[2].strip()))
if args.source and args.item and args.file:
jobs.append((args.source, args.item, args.file))
if not jobs:
ap.error("需要 --source/--item/--file 或 --manifest")
idx = load_index()
ok = fail = 0
for sid, iid, f in jobs:
good, msg = stage_one(idx, sid, iid, f, args.apply)
print(f" {sid}/{iid:28} {msg}")
ok += 1 if good else 0
fail += 0 if good else 1
print(f"\n合计:成功 {ok} | 失败 {fail}")
if not args.apply:
print("[dry-run] 未复制。加 --apply 执行。")
else:
print("已回填 sha256/size/status 到 sources YAML(注释保留)。")
if __name__ == "__main__":
main()

152
tools/yaml_patch.py 普通文件
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#!/usr/bin/env python3
"""yaml_patch.py — 对 sources/*.yaml 做**行级**字段回填,保留注释与原有格式。
为什么需要它:
`yaml.safe_load` + `yaml.safe_dump` 会把整个文件重写,**注释全部丢失**。
sources/*.yaml 里的注释承载了关键信息(下载模板、许可解释、未纳入原因、运维提示),
必须保住。因此所有自动回填(fetch_source.py / oss_sync.py)统一走本模块的行级替换。
约定的缩进层级(与 sources/*.yaml 一致):
sources:
- id: <source_id> # 2 空格 + "- "
status: planned # 4 空格
items:
- id: <item_id> # 6 空格 + "- "
oss_key: ... # 8 空格
"""
import re
def _yaml_scalar(v):
"""把 Python 值渲染成 YAML 标量。"""
if v is None:
return "null"
if isinstance(v, bool):
return "true" if v else "false"
if isinstance(v, (int, float)):
return str(v)
s = str(v)
# 需要引号的情况:空串、含特殊起始字符、含冒号空格、纯数字样式
if s == "" or s[0] in "&*?|-<>=!%@`{[\"'" or ": " in s or s.endswith(":"):
return '"' + s.replace('\\', '\\\\').replace('"', '\\"') + '"'
return s
def patch_item_fields(path, source_id, item_id, fields):
"""回填某 source 下某 item 的字段。返回 True 表示有改动。
fields: dict,如 {"sha256": "ab..", "size": 123, "status": "fetched"}
已存在的键 → 原地替换;不存在的键 → 追加到该 item 块末尾。
"""
with open(path, encoding="utf-8") as f:
lines = f.read().split("\n")
src_re = re.compile(r"^ - id: (\S+)\s*$")
item_re = re.compile(r"^ - id: (\S+)\s*$")
# 1) 定位 source 块范围
s_start = s_end = None
for i, ln in enumerate(lines):
m = src_re.match(ln)
if m:
if m.group(1) == source_id and s_start is None:
s_start = i
elif s_start is not None and s_end is None:
s_end = i
break
if s_start is None:
return False
if s_end is None:
s_end = len(lines)
# 2) 在 source 块内定位 item 块范围
i_start = i_end = None
for i in range(s_start, s_end):
m = item_re.match(lines[i])
if m:
if m.group(1) == item_id and i_start is None:
i_start = i
elif i_start is not None and i_end is None:
i_end = i
break
if i_start is None:
return False
if i_end is None:
# item 块延伸到 source 块末尾;剔除尾部空行与注释行
j = s_end - 1
while j > i_start and (lines[j].strip() == "" or lines[j].lstrip().startswith("#")):
j -= 1
i_end = j + 1
# 3) 逐字段替换或追加
changed = False
for key, val in fields.items():
new_line = f" {key}: {_yaml_scalar(val)}"
hit = None
for i in range(i_start, i_end):
if re.match(rf"^ {re.escape(key)}:", lines[i]):
hit = i
break
if hit is not None:
if lines[hit] != new_line:
lines[hit] = new_line
changed = True
else:
lines.insert(i_end, new_line)
i_end += 1
changed = True
if changed:
with open(path, "w", encoding="utf-8") as f:
f.write("\n".join(lines))
return changed
def patch_source_fields(path, source_id, fields):
"""回填 source 级字段(如 status / fetched_at)。返回 True 表示有改动。"""
with open(path, encoding="utf-8") as f:
lines = f.read().split("\n")
src_re = re.compile(r"^ - id: (\S+)\s*$")
s_start = s_end = None
for i, ln in enumerate(lines):
m = src_re.match(ln)
if m:
if m.group(1) == source_id and s_start is None:
s_start = i
elif s_start is not None and s_end is None:
s_end = i
break
if s_start is None:
return False
if s_end is None:
s_end = len(lines)
# items: 之前才是 source 级字段区
limit = s_end
for i in range(s_start, s_end):
if re.match(r"^ items:", lines[i]):
limit = i
break
changed = False
for key, val in fields.items():
new_line = f" {key}: {_yaml_scalar(val)}"
hit = None
for i in range(s_start, limit):
if re.match(rf"^ {re.escape(key)}:", lines[i]):
hit = i
break
if hit is not None:
if lines[hit] != new_line:
lines[hit] = new_line
changed = True
else:
lines.insert(limit, new_line)
limit += 1
changed = True
if changed:
with open(path, "w", encoding="utf-8") as f:
f.write("\n".join(lines))
return changed