0.4.3 更新后格式

虞美人.toml

@@ -1,34 +1,55 @@
-# 散列表的键翻译
-["keydata"]
+# Nucleon 是 HeurAMS 软件项目使用的基于 TOML 的专有源文件格式, 版本 5
+# 建议使用的 MIME 类型: application/vnd.xyz.imwangzhiyu.heurams-nucleon.v5+toml
+
+["__metadata__"]
+["__metadata__.attribution"] # 版权元信息
+author = "__heurams__"
+group = "高考古诗文"
+name = "虞美人"
+license = "CC-BY-SA 4.0"
+desc = "高考古诗文 - 虞美人"
+
+["__metadata__.annotation"] # 键批注
 note = "笔记"
 keyword_note = "关键词翻译"
 translation = "语句翻译"
 
-# 测试项目元数据
-["testdata"]
-# 记忆时显示的额外信息
-additional_inf = ["translation","keyword_note", "note"]
-# 填空测试, content 指代键名
-fill_blank_test = {"from"=["content"], "hint"=["translation"]}
-# 选择题测试
-draw_card_test = {"from"=["keyword_note"]}
+["__metadata__.formation"] # 文件配置
+delimiter = "/"
+tts_text = "eval:payload['content'].replace('/', '')"
 
-["春花/秋月/何时/了/, 往事/知/多少./"]  
+["__metadata__.orbital.puzzles"] # 谜题定义
+# 我们称 "Recognition" 为 recognition 谜题的 alia
+"Recognition" = { __origin__ = "recognition", __hint__ = "", primary = "eval:payload['content']", secondary = ["eval:payload['keyword_note']", "eval:payload['note']"], top_dim = ["eval:payload['translation']"] }
+"SelectMeaning" = { __origin__ = "mcq", __hint__ = "eval:payload['content']", primary = "eval:payload['content']", mapping = "eval:payload['keyword_note']", jammer = "eval:list(payload['keyword_note'].values())", max_riddles_num = "eval:default['mcq']['max_riddles_num']", prefix = "选择正确项: " }
+"FillBlank" = { __origin__ = "cloze", __hint__ = "", text = "eval:payload['content']", delimiter = "eval:metadata['formation']['delimiter']", min_denominator = "eval:default['cloze']['min_denominator']"}
+
+["__metadata__.orbital.schedule"] # 内置的推荐学习方案
+quick_review = [["FillBlank", "1.0"], ["SelectMeaning", "0.5"], ["Recognition", "1.0"]]
+recognition = [["Recognition", "1.0"]]
+final_review = [["FillBlank", "0.7"], ["SelectMeaning", "0.7"], ["Recognition", "1.0"]]
+
+
+["春花秋月何时了, 往事知多少."]
 note = []
+content = "春花/秋月/何时/了/, 往事/知/多少./"
 translation = "春天的花, 秋天的月, 什么时候才能了结? 往事又能知道有多少! "
-keyword_note = {"了"="了结, 完结", "往事"="过去的事情"}
+keyword_note = {"了" = "了结, 完结", "往事" = "过去的事情"}
 
-["小楼/昨夜/又/东风/, 故国/不堪/回首/月明/中./"]  
+["小楼昨夜又东风, 故国不堪回首月明中."]
 note = []
+content = "小楼/昨夜/又/东风/, 故国/不堪/回首/月明/中./"
 translation = "昨夜小楼上又吹来了春风, 在这皓月当空的夜晚, 怎承受得了回忆故国的伤痛. "
-keyword_note = {"东风"="春风", "故国"="指南唐故都金陵", "不堪"="不能忍受", "回首"="回忆"}
+keyword_note = {"东风" = "春风", "故国" = "指南唐故都金陵", "不堪" = "不能忍受", "回首" = "回忆"}
 
-["雕阑/玉砌/应/犹在/, 只是/朱颜/改./"]  
+["雕阑玉砌应犹在, 只是朱颜改."]
 note = []
+content = "雕阑/玉砌/应/犹在/, 只是/朱颜/改./"
 translation = "精雕细刻的栏杆、玉石砌成的台阶应该还在, 只是所怀念的人已衰老. "
-keyword_note = {"雕阑玉砌"="指远在金陵的南唐故宫", "应犹"="应该还", "朱颜改"="指所怀念的人已衰老"}
+keyword_note = {"雕阑玉砌" = "指远在金陵的南唐故宫", "应犹" = "应该还", "朱颜改" = "指所怀念的人已衰老"}
 
-["问君/能/有/几多/愁/, 恰是/一江/春水/向/东流./"]  
+["问君能有几多愁, 恰是一江春水向东流."]
 note = []
+content = "问君/能/有/几多/愁/, 恰是/一江/春水/向/东流./"
 translation = "要问我心中有多少哀愁, 就像这不尽的滔滔春水滚滚东流. "
-keyword_note = {"君"="作者自称", "能"="或作'都'、'那'、'还'、'却'", "几多"="多少", "恰是"="正像是"}
+keyword_note = {"君" = "作者自称", "能" = "或作'都'、'那'、'还'、'却'", "几多" = "多少", "恰是" = "正像是"}