jarlyyn 发表于 2024-4-20 00:33:46

求助,关于mudlet的使用

如何获得比较原始的当前行的ansi或相关信息?

mush有getstyleinfo,当作插件可以获取到原始的包或想对原始的包信息。

mudlet我爬了一圈wiki,只有得到如下信息

[*]一个全局的line变量,纯文本
[*]GetTextFormat函数,以光标位置为单位的样式获取
[*]isAnsiFgColor/isAnsiFgColor 判断当前位置的
[*]sendSocket,一个可以发送原始数据的方法


都是以光标/显示行的位置为单位的函数,没有以样式为单位过去信息的方法。

由于我会需要

[*]将样式信息标准化甚至格式化为字符串形式
[*]自己维护若干行的相应信息
[*]以样式为单位进行触发


没有在mudlet找到相关的信息,希望有谁能给我个方向。

nny 发表于 2024-4-20 00:40:41

mudlet 目前只能通过移动光标至过去的某行,再用类似GetTextFormat函数来获取过去信息,但我一直觉得GetTextFormat在最后一个字符的获取上有问题。可能是我用的不对{:7_274:}

dtp 发表于 2024-4-20 00:54:52

根据资深人士的反馈,mudlet 没有这个功能。

杰哥可以开骂了。

这方面做得最好的目前是 PaoTin++,就连 TinTin++ 都不如 PaoTin++

holygb 发表于 2024-4-20 01:01:33

我也有类似需求,写了个函数获取一行或几行间字符的属性,代码如下:
function get_color_string(from_line, to_line)
TOOL.colors = {}
local line,len,char,fmt,key

for i=from_line,to_line do
    moveCursor(1, i)
    line = getCurrentLine()
    len = utf8.len(line)

    -- 不知道为什么,最后一个字的fmt取不出来,需要在最后插入一个字符
    moveCursor(len, i)
    insertText(" ")

    for j=0,len-1 do
      selectSection(j, 1)
      char = getSelection()
      fmt = getTextFormat()
      if fmt then
      key = string.format("%d-%d-%d-%d-%d-%d",
          fmt.foreground,fmt.foreground,fmt.foreground,
          fmt.background,fmt.background,fmt.background)
      table.insert(TOOL.colors, {key, char})
      end
    end

    -- 插入一个换行标记
    table.insert(TOOL.colors, {"255-255-255-255-255-255", "\n"})
end

return TOOL.colors
end
其中函数参数from_line, to_line是行数,可以在触发器中用getLineNumber()获取,返回构造的字符和属性的列表。

例如这行:
data:image/png;base64,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
返回:
{ { "0-255-255-0-0-0", "【" }, { "0-255-255-0-0-0", "闲" }, { "0-255-255-0-0-0", "聊" }, { "0-255-255-0-0-0", "】" }, {
"255-255-255-128-128-0", "☆" }, { "255-255-255-128-128-0", "句" }, { "255-255-255-128-128-0", "比" }, { "255-255-255-128-
128-0", "字" }, { "255-255-255-128-128-0", "栉" }, { "255-255-255-128-128-0", "☆" }, { "192-192-192-0-0-0", " " }, { "180-
0-0-0-0-0", "欧" }, { "180-0-0-0-0-0", "阳" }, { "180-0-0-0-0-0", "摇" }, { "0-255-0-0-0-0", "(" }, { "0-255-0-0-0-0", "Y"
}, { "0-255-0-0-0-0", "a" }, { "0-255-0-0-0-0", "o" }, { "0-255-0-0-0-0", "o" }, { "0-255-0-0-0-0", "u" }, { "0-255-0-0-
0-0", ")" }, { "0-255-255-0-0-0", ":" }, { "0-255-255-0-0-0", " " }, { "0-255-255-0-0-0", "估" }, { "0-255-255-0-0-0",
"计" }, { "0-255-255-0-0-0", "至" }, { "0-255-255-0-0-0", "少" }, { "0-255-255-0-0-0", "1" }, { "0-255-255-0-0-0", "0" },
{ "0-255-255-0-0-0", "0" }, { "0-255-255-0-0-0", "天" }, { "0-255-255-0-0-0", "," }, { "0-255-255-0-0-0", "很" }, { "0-
255-255-0-0-0", "可" }, { "0-255-255-0-0-0", "能" }, { "0-255-255-0-0-0", "得" }, { "0-255-255-0-0-0", "1" }, { "0-255-255-
0-0-0", "年" }, { "192-192-192-0-0-0", " " }, { "192-192-192-0-0-0", " " }, { "255-255-255-0-128-0", "◆" }, { "255-255-
255-0-128-0", "主" }, { "255-255-255-0-128-0", "站" }, { "255-255-255-0-128-0", "◆" }, { "255-255-255-255-255-255", "\n"
} }

有了这个函数,就可以在任务中获取各种颜色特别的显示,比如公孙止、韩员外等就是统计颜色种类最少的字符。

nny 发表于 2024-4-20 01:02:57

炮爷有打广告的嫌疑,嘿嘿。

dtp 发表于 2024-4-20 01:03:19

真是辛苦你们了。够难为的。

holygb 发表于 2024-4-20 01:03:49

holygb 发表于 2024-4-20 01:01 AM
我也有类似需求,写了个函数获取一行或几行间字符的属性,代码如下:
function get_color_string(from_line ...

中间的贴图怎么不见了?只能贴个文字
【闲聊】☆句比字栉☆ 欧阳摇(Yaoou): 估计至少100天,很可能得1年◆主站◆

dtp 发表于 2024-4-20 01:04:33

nny 发表于 2024-4-20 01:02 AM
炮爷有打广告的嫌疑,嘿嘿。

倒也不全对,杰哥说了,要支持 PaoTin++ 的。

bbcallen 发表于 2024-4-20 01:17:40

https://forums.mudlet.org/viewtopic.php?t=5979
我能找到的最官方的解释。

nny 发表于 2024-4-20 01:18:37

holygb 发表于 2024-4-20 01:03 AM
中间的贴图怎么不见了?只能贴个文字
【闲聊】☆句比字栉☆ 欧阳摇(Yaoou): 估计至少100天,很可能得1年...

哈哈,你这个例子举得好,竟然是我的闲聊{:7_279:}
页: [1] 2
查看完整版本: 求助,关于mudlet的使用