diff --git a/app/src/main/java/io/legado/app/model/analyzeRule/RuleAnalyzer.kt b/app/src/main/java/io/legado/app/model/analyzeRule/RuleAnalyzer.kt index e2f08660f..a2b78b251 100644 --- a/app/src/main/java/io/legado/app/model/analyzeRule/RuleAnalyzer.kt +++ b/app/src/main/java/io/legado/app/model/analyzeRule/RuleAnalyzer.kt @@ -6,8 +6,10 @@ class RuleAnalyzer(data: String) { private var queue: String = data //被处理字符串 private var pos = 0 //处理到的位置 + private var rule = arrayOf() private var start = 0 //每次处理字段的开始 + private var startX = 0 //规则的开始 private var step:Int = 0 //分割字符的长度 var elementsType = "" @@ -17,6 +19,11 @@ class RuleAnalyzer(data: String) { return queue.substring(start+stepStart,pos-stepEnd) //当前平衡字段 } + + fun trim(){ // 修剪当前规则之前的"@"或者空白符 + while (queue[pos] == '@' || queue[pos] < '!') pos++ + } + //将pos重置为0,方便复用 fun reSetPos() { pos = 0 @@ -34,21 +41,6 @@ class RuleAnalyzer(data: String) { return queue.substring(start) } - /** - * pos位置回退 - */ - fun back(num :Int = 0) { - if(num == 0)pos = start //回退 - else pos -= num - } - - /** - * pos位置后移 - */ - fun advance(num :Int = 1) { - pos+=num - } - /** * 是否已无剩余字符? * @return 若剩余字串中已无字符则返回true @@ -109,9 +101,8 @@ class RuleAnalyzer(data: String) { while (pos != queue.length) { for (s in seq) { - if (matches(s)) { + if (queue.regionMatches(pos, s, 0, s.length)) { step = s.length //间隔数 - start = this.pos //匹配成功, 设置规则下次起始位置 this.pos = pos //匹配成功, 同步处理位置到类 return true //匹配就返回 true } @@ -163,7 +154,7 @@ class RuleAnalyzer(data: String) { var commits = false //多行注释 do { - if (isEmpty) break + if (pos == queue.length) break var c = queue[pos++] if (c != '\\') { //非转义字符 if (c == '\'' && !commits && !commit && !regex && !inDoubleQuote && !inOtherQuote) inSingleQuote = !inSingleQuote //匹配具有语法功能的单引号 @@ -192,22 +183,23 @@ class RuleAnalyzer(data: String) { ']' -> bracketsDepth-- //闭合一层嵌套[] } - } + }else if(c == '\n') commit = false if (commits || commit || regex || inSingleQuote || inDoubleQuote || inOtherQuote) continue //语法单元未匹配结束,直接进入下个循环 val fn = f(c) ?: continue if (fn) depth++ else depth-- //嵌套或者闭合 - }else { //转义字符 - var next = queue[pos++] //拉出被转义字符 - if(commit && next == 'n') commit = false //匹配单行注释终点。当前为\,下个为n,表示换行 - else if (!commits && !commit && next == '\\') { - queue[pos++] //当前为\,下个为\,双重转义中"\\"表示转义字符本身,根据if条件"\\"字串不在注释中,则只能在字串或正则中 - next = queue[pos++] //拉出下个字符,因为在双重转义的字串或正则中,类似于 \\/ 这样的结构才是转义结构 - if(next == '\\')queue[pos++] //若为转义字符则继续拉出,因为双重转义中转义字符成对存在,即 \\\\ - } - } + }else pos++ +// { //转义字符 +// var next = queue[pos++] //拉出被转义字符 +// if(commit && next == 'n') commit = false //匹配单行注释终点。当前为\,下个为n,表示换行 +// else if (!commits && !commit && next == '\\') { +// queue[pos++] //当前为\,下个为\,双重转义中"\\"表示转义字符本身,根据if条件"\\"字串不在注释中,则只能在字串或正则中 +// next = queue[pos++] //拉出下个字符,因为在双重转义的字串或正则中,类似于 \\/ 这样的结构才是转义结构 +// if(next == '\\')queue[pos++] //若为转义字符则继续拉出,因为双重转义中转义字符成对存在,即 \\\\ +// } +// } } while (depth > 0 || bracketsDepth >0) //拉出全部符合js语法的字段 return if(depth > 0 || bracketsDepth > 0) false else { @@ -230,7 +222,7 @@ class RuleAnalyzer(data: String) { var inDoubleQuote = false //双引号 do { - if (isEmpty) break + if (pos == queue.length) break val c = queue[pos++] if (c != ESC) { //非转义字符 if (c == '\'' && !inDoubleQuote) inSingleQuote = !inSingleQuote //匹配具有语法功能的单引号 @@ -245,14 +237,15 @@ class RuleAnalyzer(data: String) { if (fn) otherDepth++ else otherDepth-- } - }else { //转义字符 - var next = queue[pos++] //拉出被转义字符,匹配\/、\"、\'等 - if (next == ESC) { - queue[pos++] //当前为\,下个为\,双重转义中"\\"表示转义字符本身,根据语法特征当前字段在字串或正则中 - next = queue[pos++] //拉出下个字符,因为在双重转义的字串或正则中,类似于 \\/ 这样的结构才是转义结构 - if(next == ESC)queue[pos++] //若为转义字符则继续拉出,因为双重转义中转义字符成对存在,即 \\\\ - } - } + }else pos++ +// { //转义字符 +// var next = queue[pos++] //拉出被转义字符,匹配\/、\"、\'等 +// if (next == ESC) { +// queue[pos++] //当前为\,下个为\,双重转义中"\\"表示转义字符本身,根据语法特征当前字段在字串或正则中 +// next = queue[pos++] //拉出下个字符,因为在双重转义的字串或正则中,类似于 \\/ 这样的结构才是转义结构 +// if(next == ESC)queue[pos++] //若为转义字符则继续拉出,因为双重转义中转义字符成对存在,即 \\\\ +// } +// } } while (depth > 0 || otherDepth > 0) //拉出一个平衡字串 return if(depth > 0 || otherDepth > 0) false else { @@ -269,96 +262,142 @@ class RuleAnalyzer(data: String) { if(split.size == 1) { elementsType = split[0] //设置分割字串 - step = elementsType.length //设置分隔符长度 - return splitRule(arrayOf()) //仅一个分隔字串时,直接二段解析更快 - }else if (!consumeToAny(* split)) return arrayOf(queue) //未找到分隔符 + return if(!consumeTo(elementsType)) { + rule += queue.substring(startX) + rule + }else { + step = elementsType.length //设置分隔符长度 + splitRule() + } //递归匹配 + }else if (!consumeToAny(* split)) { //未找到分隔符 + rule += queue.substring(startX) + return rule + } - val st = findToAny( '[','(' ) //查找筛选器 + val end = pos //记录分隔位置 + pos = start //重回开始,启动另一种查找 - if(st == -1) { + do{ + val st = findToAny('[', '(') //查找筛选器位置 - var rule = arrayOf(queue.substring(0, pos)) //压入分隔的首段规则到数组 + if (st == -1) { - elementsType = queue.substring(pos, pos + step) //设置组合类型 - pos += step //跳过分隔符 + rule = arrayOf(queue.substring(startX, end)) //压入分隔的首段规则到数组 - while (consumeToAny(* split)) { //循环切分规则压入数组 - rule += queue.substring(start, pos) - pos += step //跳过分隔符 - } + elementsType = queue.substring(end, end + step) //设置组合类型 + pos = end + step //跳过分隔符 + + while (consumeTo(elementsType)) { //循环切分规则压入数组 + rule += queue.substring(start, pos) + pos += step //跳过分隔符 + } - rule += queue.substring(pos) //将剩余字段压入数组末尾 + rule += queue.substring(pos) //将剩余字段压入数组末尾 - return rule - } + return rule + } + + if (st > end) { //先匹配到st1pos,表明分隔字串不在选择器中,将选择器前分隔字串分隔的字段依次压入数组 - val rule = if(st >pos ){ //先匹配到st1pos,表明分隔字串不在选择器中,将选择器前分隔字串分隔的字段依次压入数组 + rule = arrayOf(queue.substring(startX, end)) //压入分隔的首段规则到数组 - var rule = arrayOf(queue.substring(0, pos)) //压入分隔的首段规则到数组 + elementsType = queue.substring(end, end + step) //设置组合类型 + pos = end + step //跳过分隔符 - elementsType = queue.substring(pos, pos + step) //设置组合类型 - pos += step //跳过分隔符 + while (consumeTo(elementsType) && pos < st) { //循环切分规则压入数组 + rule += queue.substring(start, pos) + pos += step //跳过分隔符 + } - while (consumeToAny( * split ) && pos < st ) { //循环切分规则压入数组 - rule += queue.substring(start, pos) - pos += step //跳过分隔符 + return if(pos > st) { + startX = start + splitRule() //首段已匹配,但当前段匹配未完成,调用二段匹配 + } + else { //执行到此,证明后面再无分隔字符 + rule += queue.substring(pos) //将剩余字段压入数组末尾 + rule + } } - rule + pos = st //位置推移到筛选器处 + val next = if (queue[pos] == '[') ']' else ')' //平衡组末尾字符 - }else null + if (!chompRuleBalanced(queue[pos], next)) throw Error( + queue.substring( + 0, + start + ) + "后未平衡" + ) //拉出一个筛选器,不平衡则报错 - pos = st //位置推移到筛选器处 - val next = if(queue[pos] == '[' ) ']' else ')' //平衡组末尾字符 + }while( end > pos ) - return if (rule == null) { //rule为空,首段未匹配完成 + start = pos //设置开始查找筛选器位置的起始位置 - if(!chompRuleBalanced(queue[pos],next)) throw Error(queue.substring(0, start)+"后未平衡") //拉出一个筛选器,不平衡则报错 - splitRule(* split) //递归调用首段匹配 + return splitRule(* split) //递归调用首段匹配 + } - } else { + @JvmName("splitRuleNext") + private tailrec fun splitRule(): Array{ //二段匹配被调用,elementsType非空(已在首段赋值),直接按elementsType查找,比首段采用的方式更快 - if(!chompRuleBalanced(queue[pos],next)) throw Error(queue.substring(0, start)+"后未平衡") //拉出一个筛选器,不平衡则报错 - splitRule(rule) //首段已匹配,但当前段匹配未完成,调用二段匹配 + val end = pos //记录分隔位置 + pos = start //重回开始,启动另一种查找 - } + do{ + val st = findToAny('[', '(') //查找筛选器位置 - } + if (st == -1) { - @JvmName("splitRuleNext") - private tailrec fun splitRule(rules:Array): Array{ //二段匹配被调用,elementsType非空(已在首段赋值),直接按elementsType查找,比首段采用的方式更快 + rule += arrayOf(queue.substring(startX, end)) //压入分隔的首段规则到数组 + pos = end + step //跳过分隔符 - if (!consumeTo(elementsType,false)) return rules + queue.substring(start) //此处consumeTo(...)开始位置不是规则的开始位置,start沿用上次设置 + while (consumeTo(elementsType)) { //循环切分规则压入数组 + rule += queue.substring(start, pos) + pos += step //跳过分隔符 + } - val st = findToAny( '[','(' ) //查找筛选器 + rule += queue.substring(pos) //将剩余字段压入数组末尾 - if(st == -1) { - var rule = rules + queue.substring(start, pos) //压入本次分隔的首段规则到数组 - pos += step //跳过分隔符 - while (consumeTo(elementsType)) { //循环切分规则压入数组 - rule += queue.substring(start, pos) - pos += step //跳过分隔符 + return rule } - rule += queue.substring(pos) //将剩余字段压入数组末尾 - return rule - } - val rule = if(st > pos ){//先匹配到st1pos,表明分隔字串不在选择器中,将选择器前分隔字串分隔的字段依次压入数组 - var rule = rules + queue.substring(start, pos) //压入本次分隔的首段规则到数组 - pos += step //跳过分隔符 - while (consumeTo(elementsType) && pos < st) { //循环切分规则压入数组 - rule += queue.substring(start, pos) - pos += step //跳过分隔符 + if (st > end) { //先匹配到st1pos,表明分隔字串不在选择器中,将选择器前分隔字串分隔的字段依次压入数组 + + rule += arrayOf(queue.substring(startX, end)) //压入分隔的首段规则到数组 + pos = end + step //跳过分隔符 + + while (consumeTo(elementsType) && pos < st) { //循环切分规则压入数组 + rule += queue.substring(start, pos) + pos += step //跳过分隔符 + } + + return if(pos > st) { + startX = start + splitRule() //首段已匹配,但当前段匹配未完成,调用二段匹配 + } + else { //执行到此,证明后面再无分隔字符 + rule += queue.substring(pos) //将剩余字段压入数组末尾 + rule + } } - rule - }else rules - pos = st //位置推移到筛选器处 - val next = if(queue[pos] == '[' ) ']' else ')' //平衡组末尾字符 + pos = st //位置推移到筛选器处 + val next = if (queue[pos] == '[') ']' else ')' //平衡组末尾字符 + + if (!chompRuleBalanced(queue[pos], next)) throw Error( + queue.substring( + 0, + start + ) + "后未平衡" + ) //拉出一个筛选器,不平衡则报错 - if(!chompRuleBalanced(queue[pos],next)) throw Error(queue.substring(0, start)+"后未平衡") //拉出一个筛选器,不平衡时返回true,表示未平衡 + }while( end > pos ) - return splitRule(rule) //递归匹配 + start = pos //设置开始查找筛选器位置的起始位置 + + return if(!consumeTo(elementsType)) { + rule += queue.substring(startX) + rule + }else splitRule() //递归匹配 } @@ -380,12 +419,12 @@ class RuleAnalyzer(data: String) { while (!isEmpty && consumeTo(inner)) { //拉取成功返回true,ruleAnalyzes里的字符序列索引变量pos后移相应位置,否则返回false,且isEmpty为true val posPre = pos //记录上次结束位置 if (chompRuleBalanced {//拉出一个以[]为默认嵌套、以{}为补充嵌套的平衡字段 - when (it) { - '{' -> true - '}' -> false - else -> null - } - }) { + when (it) { + '{' -> true + '}' -> false + else -> null + } + }) { val frv= fr(currBalancedString(startStep,endStep)) if(frv != null) {