{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "51b89355",
   "metadata": {},
   "source": [
    "# 演练场\n",
    "此笔记本将带你了解 repomgr 与 particles 对象相关操作"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5c49014",
   "metadata": {},
   "source": [
    "# 从一个例子开始\n",
    "## 了解文件结构\n",
    "了解一下文件结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a5ed9864",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34m.\u001b[0m\n",
      "├── \u001b[00mrepo.ipynb\u001b[0m\n",
      "└── \u001b[01;34mtest_repo\u001b[0m\n",
      "    ├── \u001b[00malgodata.json\u001b[0m\n",
      "    ├── \u001b[00mmanifest.toml\u001b[0m\n",
      "    ├── \u001b[00mpayload.toml\u001b[0m\n",
      "    ├── \u001b[00mschedule.toml\u001b[0m\n",
      "    └── \u001b[00mtypedef.toml\u001b[0m\n",
      "\n",
      "2 directories, 6 files\n"
     ]
    }
   ],
   "source": [
    "!tree # 了解文件结构"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e10922b",
   "metadata": {},
   "source": [
    "如果你先前运行了单元格, 请运行下面一格清理."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9777730e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "zsh:1: no matches found: heurams.log*\n"
     ]
    }
   ],
   "source": [
    "!rm -rf test_new_repo\n",
    "!rm -rf heurams.log*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "058c098f",
   "metadata": {},
   "source": [
    "## 导入模块\n",
    "导入所需模块, 你会看到欢迎信息, 标示了库所使用的配置.  \n",
    "HeurAMS 在基础设施也使用配置文件实现隐式的依赖注入.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bf1b00c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "欢迎使用 HeurAMS 及其组件!\n",
      "rootdir: /mnt/data/Devel/HeurAMS/HeurAMS/src/heurams\n",
      "workdir: /mnt/data/Devel/HeurAMS/HeurAMS/examples\n",
      "未能加载自定义用户配置\n"
     ]
    }
   ],
   "source": [
    "import heurams.kernel.repolib as repolib  # 这是 RepoLib 子模块, 用于管理和结构化 repo(中文含义: 仓库) 数据结构与本地文件间的联系\n",
    "import heurams.kernel.particles as pt  # 这是 Particles(中文含义: 粒子) 子模块, 用于运行时的记忆管理操作\n",
    "from pathlib import (\n",
    "    Path,\n",
    ")  # 这是 Python 的 Pathlib 模块, 用于表示文件路径, 在整个项目中, 都使用此模块表示路径"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea1f68bb",
   "metadata": {},
   "source": [
    "## 运行时检查\n",
    "如你所见, repo 在文件系统内存储为一个文件夹.  \n",
    "因此在载入之前, 首先要检查这是否是一个合乎标准的 repo 文件夹.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "897b62d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "这是一个 合规 的 repo!\n"
     ]
    }
   ],
   "source": [
    "is_vaild = repolib.Repo.check_repodir(Path(\"./test_repo\"))\n",
    "print(f\"这是一个 {'合规' if is_vaild else '不合规'} 的 repo!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24a19991",
   "metadata": {},
   "source": [
    "## 加载仓库\n",
    "接下来, 正式加载 repo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "708ae7e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_repo = repolib.Repo.create_from_repodir(Path(\"./test_repo\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "474f8eb7",
   "metadata": {},
   "source": [
    "## 导出为字典\n",
    "作为一个数据容器, repo 相应地建立了导入和导出的功能.  \n",
    "我们刚刚从本地文件夹导入了一个 repo.  \n",
    "现在试试导出为一个字典."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a11115fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'algodata': [('君臣固守以窥周室,', {}), ('秦孝公据崤函之固, 拥雍州之地,', {})],\n",
      " 'manifest': {'author': '__heurams__',\n",
      "              'desc': '高考古诗文: 过秦论',\n",
      "              'title': '测试单元: 过秦论'},\n",
      " 'payload': [('君臣固守以窥周室,',\n",
      "              {'content': '君臣/固守/以窥/周室,/',\n",
      "               'keyword_note': {'窥': '窥视'},\n",
      "               'note': [],\n",
      "               'translation': '君臣牢固地守卫着，借以窥视周王室的权力，'}),\n",
      "             ('秦孝公据崤函之固, 拥雍州之地,',\n",
      "              {'content': '秦孝公/据/崤函/之固/, 拥/雍州/之地,/',\n",
      "               'keyword_note': {'崤函': '崤山和函谷关', '据': '占据', '雍州': '古代九州之一'},\n",
      "               'note': [],\n",
      "               'translation': '秦孝公占据着崤山和函谷关的险固地势，拥有雍州的土地，'})],\n",
      " 'schedule': {'phases': {'final_review': [['FillBlank', '0.7'],\n",
      "                                          ['SelectMeaning', '0.7'],\n",
      "                                          ['Recognition', '1.0']],\n",
      "                         'quick_review': [['FillBlank', '1.0'],\n",
      "                                          ['SelectMeaning', '0.5'],\n",
      "                                          ['Recognition', '1.0']],\n",
      "                         'recognition': [['Recognition', '1.0']]},\n",
      "              'schedule': ['quick_review', 'recognition', 'final_review']},\n",
      " 'source': PosixPath('test_repo'),\n",
      " 'typedef': {'annotation': {'content': '内容',\n",
      "                            'delimiter': '分隔符',\n",
      "                            'keyword_note': '关键词翻译',\n",
      "                            'note': '笔记',\n",
      "                            'translation': '语句翻译',\n",
      "                            'tts_text': '文本转语音文本'},\n",
      "             'common': {'delimiter': '/',\n",
      "                        'tts_text': \"eval:payload['content'].replace('/', '')\"},\n",
      "             'puzzles': {'FillBlank': {'__hint__': '',\n",
      "                                       '__origin__': 'cloze',\n",
      "                                       'delimiter': \"eval:metadata['formation']['delimiter']\",\n",
      "                                       'min_denominator': \"eval:default['cloze']['min_denominator']\",\n",
      "                                       'text': \"eval:payload['content']\"},\n",
      "                         'Recognition': {'__hint__': '',\n",
      "                                         '__origin__': 'recognition',\n",
      "                                         'primary': \"eval:payload['content']\",\n",
      "                                         'secondary': [\"eval:payload['keyword_note']\",\n",
      "                                                       \"eval:payload['note']\"],\n",
      "                                         'top_dim': [\"eval:payload['translation']\"]},\n",
      "                         'SelectMeaning': {'__hint__': \"eval:payload['content']\",\n",
      "                                           '__origin__': 'mcq',\n",
      "                                           'jammer': \"eval:list(payload['keyword_note'].values())\",\n",
      "                                           'mapping': \"eval:payload['keyword_note']\",\n",
      "                                           'max_riddles_num': \"eval:default['mcq']['max_riddles_num']\",\n",
      "                                           'prefix': '选择正确项: ',\n",
      "                                           'primary': \"eval:payload['content']\"}},\n",
      "             '古文句': {}}}\n"
     ]
    }
   ],
   "source": [
    "test_repo_dic = test_repo.export_to_single_dict()\n",
    "from pprint import pprint\n",
    "\n",
    "pprint(test_repo_dic)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35a2e06f",
   "metadata": {},
   "source": [
    "## 持久化与部分保存\n",
    "如你所见, 所有内容被结构化地输出了!  \n",
    "\n",
    "现在写回到文件夹!  \n",
    "\n",
    "我们注意到, 并非所有的内容都要被修改.  \n",
    "我们可以只保存接受修改的一部分, 默认情况下, 是迭代的记忆数据(algodata).  \n",
    "这就是为什么我们一般不使用单个 json 或 toml 来存储 repo.\n",
    "\n",
    "persist_to_repodir 接受两个可选参数: \n",
    "- save_list: 默认为 [\"algodata\"], 是要持久化的数据.\n",
    "- source: 默认为原目录, 你也可以手动指定为其他文件夹(通过 Path)\n",
    "\n",
    "现在做一些演练, 我们将创建一个位于 test_new_repo 的\"克隆\", 此时我们!\n",
    "除非文件夹已经存在, Repo 对象将会为你自动创建新文件夹."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "05eeaacc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34m.\u001b[0m\n",
      "├── \u001b[00mheurams.log\u001b[0m\n",
      "├── \u001b[00mrepo.ipynb\u001b[0m\n",
      "├── \u001b[01;34mtest_new_repo\u001b[0m\n",
      "│   ├── \u001b[00malgodata.json\u001b[0m\n",
      "│   ├── \u001b[00mmanifest.toml\u001b[0m\n",
      "│   ├── \u001b[00mpayload.toml\u001b[0m\n",
      "│   ├── \u001b[00mschedule.toml\u001b[0m\n",
      "│   └── \u001b[00mtypedef.toml\u001b[0m\n",
      "└── \u001b[01;34mtest_repo\u001b[0m\n",
      "    ├── \u001b[00malgodata.json\u001b[0m\n",
      "    ├── \u001b[00mmanifest.toml\u001b[0m\n",
      "    ├── \u001b[00mpayload.toml\u001b[0m\n",
      "    ├── \u001b[00mschedule.toml\u001b[0m\n",
      "    └── \u001b[00mtypedef.toml\u001b[0m\n",
      "\n",
      "3 directories, 12 files\n"
     ]
    }
   ],
   "source": [
    "test_repo.persist_to_repodir(\n",
    "    save_list=[\"schedule\", \"payload\", \"manifest\", \"typedef\", \"algodata\"],\n",
    "    source=Path(\"test_new_repo\"),\n",
    ")\n",
    "!tree"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "059d7bdf",
   "metadata": {},
   "source": [
    "如你所见, test_new_repo 已被生成!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ef8925c",
   "metadata": {},
   "source": [
    "# 数据结构\n",
    "现在讲解 repo 的数据结构"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c19fed95",
   "metadata": {},
   "source": [
    "## Lict 对象\n",
    "Lict 对象集成了部分列表和字典的功能, 数据在这两种风格的 API 间都可用, 且修改是同步的.  \n",
    "Lict 默认情况下不会保存序列顺序, 而是在列表形式下, 自动按索引字符序排布, 详情请参阅源代码.  \n",
    "现在导入并初始化一个 Lict 对象:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7e88bd7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('age', 12), ('enemy', 'jerry'), ('name', 'tom')]\n",
      "[('age', 12), ('enemy', 'jerry'), ('name', 'tom')]\n"
     ]
    }
   ],
   "source": [
    "from heurams.utils.lict import Lict\n",
    "\n",
    "lct = Lict()  # 空的\n",
    "lct = Lict(initlist=[(\"name\", \"tom\"), (\"age\", 12), (\"enemy\", \"jerry\")])  # 基于列表\n",
    "print(lct)\n",
    "lct = Lict(initdict={\"name\": \"tom\", \"age\": 12, \"enemy\": \"jerry\"})  # 基于字典\n",
    "print(lct)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d760bf9",
   "metadata": {},
   "source": [
    "### 输出形式\n",
    "lct 的\"官方\"输出形式是列表形式\n",
    "你也可以选择输出字典形式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "248f6cba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'tom', 'age': 12, 'enemy': 'jerry'}\n"
     ]
    }
   ],
   "source": [
    "print(lct.dicted_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29dce184",
   "metadata": {},
   "source": [
    "### dicted_data 属性与修改方式\n",
    "dicted_data 属性是一个字典, 它自动同步来自 Lict 对象操作的修改.\n",
    "一个注意事项: 不要直接修改 dicted_data, 这将不会触发同步 hook.\n",
    "如果你一定要这样做, 请在完事后手动运行同步 hook.\n",
    "推荐的修改方式是直接把 lct 当作一个字典"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a0eb07a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('age', 12), ('enemy', 'jerry'), ('name', 'tom')]\n",
      "[('age', 12), ('enemy', 'jerry'), ('name', 'tom'), ('type', 'cat')]\n",
      "[('age', 12), ('enemy', 'jerry'), ('is_human', False), ('name', 'tom'), ('type', 'cat')]\n"
     ]
    }
   ],
   "source": [
    "# 由于 jupyter 的环境处理, 请不要重复运行此单元格, 如果想再看一遍, 请重启 jupyter 后再全部运行\n",
    "\n",
    "# 错误的方式\n",
    "lct.dicted_data[\"type\"] = \"cat\"\n",
    "print(lct)  # 将不会同步修改\n",
    "\n",
    "# 不推荐, 但可用的方式\n",
    "lct.dicted_data[\"type\"] = \"cat\"\n",
    "lct._sync_based_on_dict()\n",
    "print(lct)\n",
    "\n",
    "# 推荐方式\n",
    "lct[\"is_human\"] = False\n",
    "print(lct)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2337d113",
   "metadata": {},
   "source": [
    "### data 属性与修改方式\n",
    "data 属性是一个列表, 它自动同步来自 Lict 对象操作的修改.\n",
    "一个注意事项: 不要直接修改 data, 这将不会触发同步 hook, 并且可能破坏排序.\n",
    "如果你一定要这样做, 请在完事后手动运行同步 hook 和 sort, 此处不演示.\n",
    "推荐的修改方式是直接把 lct 当作一个列表, 且避免使用索引修改"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0ab442d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'age': 12, 'enemy': 'jerry', 'is_human': False, 'name': 'tom', 'type': 'cat', 'enemy_2': 'spike'}\n"
     ]
    }
   ],
   "source": [
    "# 由于 jupyter 的环境处理, 请不要重复运行此单元格, 如果想再看一遍, 请重启 jupyter 后再全部运行\n",
    "\n",
    "# 唯一推荐方式\n",
    "lct.append((\"enemy_2\", \"spike\"))\n",
    "print(lct.dicted_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3383f59",
   "metadata": {},
   "source": [
    "### 多面手\n",
    "Lict 有一些很酷的功能\n",
    "详情请看源文件\n",
    "此处是一些例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f3ca752f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('age', 12), ('enemy', 'jerry'), ('enemy_2', 'spike'), ('is_human', False), ('name', 'tom'), ('type', 'cat')]\n",
      "{'age': 12, 'enemy': 'jerry', 'is_human': False, 'name': 'tom', 'type': 'cat', 'enemy_2': 'spike'}\n",
      "------\n",
      "('age', 12)\n",
      "('enemy', 'jerry')\n",
      "('enemy_2', 'spike')\n",
      "('is_human', False)\n",
      "('name', 'tom')\n",
      "('type', 'cat')\n",
      "6\n",
      "('type', 'cat')\n",
      "[('age', 12), ('enemy', 'jerry'), ('enemy_2', 'spike'), ('is_human', False), ('name', 'tom')]\n",
      "('name', 'tom')\n",
      "[('age', 12), ('enemy', 'jerry'), ('enemy_2', 'spike'), ('is_human', False)]\n",
      "('is_human', False)\n",
      "[('age', 12), ('enemy', 'jerry'), ('enemy_2', 'spike')]\n",
      "('enemy_2', 'spike')\n",
      "[('age', 12), ('enemy', 'jerry')]\n",
      "('enemy', 'jerry')\n",
      "[('age', 12)]\n",
      "('age', 12)\n",
      "[]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Ellipsis"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lct = Lict(\n",
    "    initdict={\n",
    "        \"age\": 12,\n",
    "        \"enemy\": \"jerry\",\n",
    "        \"is_human\": False,\n",
    "        \"name\": \"tom\",\n",
    "        \"type\": \"cat\",\n",
    "        \"enemy_2\": \"spike\",\n",
    "    }\n",
    ")\n",
    "print(lct)\n",
    "print(lct.dicted_data)\n",
    "print(\"------\")\n",
    "for i in lct:\n",
    "    print(i)\n",
    "print(len(lct))\n",
    "while len(lct) > 0:\n",
    "    print(lct.pop())\n",
    "    print(lct)\n",
    "lct = Lict(\n",
    "    initdict={\n",
    "        \"age\": 12,\n",
    "        \"enemy\": \"jerry\",\n",
    "        \"is_human\": False,\n",
    "        \"name\": \"tom\",\n",
    "        \"type\": \"cat\",\n",
    "        \"enemy_2\": \"spike\",\n",
    "    }\n",
    ")\n",
    "..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d6d3483",
   "metadata": {},
   "source": [
    "关爱环境 从你我做起"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "773bf99c",
   "metadata": {},
   "outputs": [],
   "source": [
    "!rm -rf test_new_repo\n",
    "!rm -rf heurams.log*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8645c5a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{   'content': '君臣/固守/以窥/周室,/',\n",
      "    'delimiter': '/',\n",
      "    'keyword_note': {'窥': '窥视'},\n",
      "    'note': [],\n",
      "    'translation': '君臣牢固地守卫着，借以窥视周王室的权力，',\n",
      "    'tts_text': '君臣固守以窥周室,'}\n",
      "{   'SM-2': {   'efactor': 2.5,\n",
      "                'interval': 1,\n",
      "                'is_activated': 1,\n",
      "                'last_date': 20454,\n",
      "                'last_modify': 1767274438.752494,\n",
      "                'next_date': 20455,\n",
      "                'real_rept': 1,\n",
      "                'rept': 0}}\n",
      "{   'content': '秦孝公/据/崤函/之固/, 拥/雍州/之地,/',\n",
      "    'delimiter': '/',\n",
      "    'keyword_note': {'崤函': '崤山和函谷关', '据': '占据', '雍州': '古代九州之一'},\n",
      "    'note': [],\n",
      "    'translation': '秦孝公占据着崤山和函谷关的险固地势，拥有雍州的土地，',\n",
      "    'tts_text': '秦孝公据崤函之固, 拥雍州之地,'}\n",
      "{   'SM-2': {   'efactor': 2.5,\n",
      "                'interval': 1,\n",
      "                'is_activated': 1,\n",
      "                'last_date': 20454,\n",
      "                'last_modify': 1767274438.7534873,\n",
      "                'next_date': 20455,\n",
      "                'real_rept': 1,\n",
      "                'rept': 0}}\n",
      "{   'algodata': [   (   '君臣固守以窥周室,',\n",
      "                        {   'SM-2': {   'efactor': 2.5,\n",
      "                                        'interval': 1,\n",
      "                                        'is_activated': 1,\n",
      "                                        'last_date': 20454,\n",
      "                                        'last_modify': 1767274438.752494,\n",
      "                                        'next_date': 20455,\n",
      "                                        'real_rept': 1,\n",
      "                                        'rept': 0}}),\n",
      "                    (   '秦孝公据崤函之固, 拥雍州之地,',\n",
      "                        {   'SM-2': {   'efactor': 2.5,\n",
      "                                        'interval': 1,\n",
      "                                        'is_activated': 1,\n",
      "                                        'last_date': 20454,\n",
      "                                        'last_modify': 1767274438.7534873,\n",
      "                                        'next_date': 20455,\n",
      "                                        'real_rept': 1,\n",
      "                                        'rept': 0}})],\n",
      "    'manifest': {   'author': '__heurams__',\n",
      "                    'desc': '高考古诗文: 过秦论',\n",
      "                    'title': '测试单元: 过秦论'},\n",
      "    'payload': [   (   '君臣固守以窥周室,',\n",
      "                       {   'content': '君臣/固守/以窥/周室,/',\n",
      "                           'keyword_note': {'窥': '窥视'},\n",
      "                           'note': [],\n",
      "                           'translation': '君臣牢固地守卫着，借以窥视周王室的权力，'}),\n",
      "                   (   '秦孝公据崤函之固, 拥雍州之地,',\n",
      "                       {   'content': '秦孝公/据/崤函/之固/, 拥/雍州/之地,/',\n",
      "                           'keyword_note': {   '崤函': '崤山和函谷关',\n",
      "                                               '据': '占据',\n",
      "                                               '雍州': '古代九州之一'},\n",
      "                           'note': [],\n",
      "                           'translation': '秦孝公占据着崤山和函谷关的险固地势，拥有雍州的土地，'})],\n",
      "    'schedule': {   'phases': {   'final_review': [   ['FillBlank', '0.7'],\n",
      "                                                      ['SelectMeaning', '0.7'],\n",
      "                                                      ['Recognition', '1.0']],\n",
      "                                  'quick_review': [   ['FillBlank', '1.0'],\n",
      "                                                      ['SelectMeaning', '0.5'],\n",
      "                                                      ['Recognition', '1.0']],\n",
      "                                  'recognition': [['Recognition', '1.0']]},\n",
      "                    'schedule': [   'quick_review',\n",
      "                                    'recognition',\n",
      "                                    'final_review']},\n",
      "    'source': PosixPath('test_repo'),\n",
      "    'typedef': {   'annotation': {   'content': '内容',\n",
      "                                     'delimiter': '分隔符',\n",
      "                                     'keyword_note': '关键词翻译',\n",
      "                                     'note': '笔记',\n",
      "                                     'translation': '语句翻译',\n",
      "                                     'tts_text': '文本转语音文本'},\n",
      "                   'common': {   'delimiter': '/',\n",
      "                                 'tts_text': \"eval:payload['content'].replace('/', \"\n",
      "                                             \"'')\"},\n",
      "                   'puzzles': {   'FillBlank': {   '__hint__': '',\n",
      "                                                   '__origin__': 'cloze',\n",
      "                                                   'delimiter': \"eval:metadata['formation']['delimiter']\",\n",
      "                                                   'min_denominator': \"eval:default['cloze']['min_denominator']\",\n",
      "                                                   'text': \"eval:payload['content']\"},\n",
      "                                  'Recognition': {   '__hint__': '',\n",
      "                                                     '__origin__': 'recognition',\n",
      "                                                     'primary': \"eval:payload['content']\",\n",
      "                                                     'secondary': [   \"eval:payload['keyword_note']\",\n",
      "                                                                      \"eval:payload['note']\"],\n",
      "                                                     'top_dim': [   \"eval:payload['translation']\"]},\n",
      "                                  'SelectMeaning': {   '__hint__': \"eval:payload['content']\",\n",
      "                                                       '__origin__': 'mcq',\n",
      "                                                       'jammer': \"eval:list(payload['keyword_note'].values())\",\n",
      "                                                       'mapping': \"eval:payload['keyword_note']\",\n",
      "                                                       'max_riddles_num': \"eval:default['mcq']['max_riddles_num']\",\n",
      "                                                       'prefix': '选择正确项: ',\n",
      "                                                       'primary': \"eval:payload['content']\"}},\n",
      "                   '古文句': {}}}\n"
     ]
    }
   ],
   "source": [
    "repo = repolib.Repo.create_from_repodir(Path(\"./test_repo\"))\n",
    "for i in repo.ident_index:\n",
    "    n = pt.Nucleon.create_on_nucleonic_data(\n",
    "        nucleonic_data=repo.nucleonic_data_lict.get_itemic_unit(i)\n",
    "    )\n",
    "    e = pt.Electron.create_on_electonic_data(\n",
    "        electronic_data=repo.electronic_data_lict.get_itemic_unit(i)\n",
    "    )\n",
    "    e.activate()\n",
    "    e.revisor(5, True)\n",
    "    print(repr(n))\n",
    "    print(repr(e))\n",
    "print(repo)"
   ]
  }
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