本文旨在提供一种使用Java和递归算法,计算基于json配置的问卷调查中所有可能的路径数量的解决方案。我们将深入探讨如何解析JSON结构,并使用递归函数遍历所有可能的答案分支,最终计算出完成问卷调查的不同方式的总数。此外,还将讨论在设计此类问卷调查逻辑时的一些注意事项。
理解JSON问卷结构
首先,我们需要理解JSON问卷的结构。在提供的例子中,JSON对象的键表示问题,而键对应的值又是一个JSON对象,该对象的键表示问题的答案,值则表示下一个问题。如果值为以”0 “开头的字符串,则表示问卷结束。
{ "What is your marital status?": { "Single": "Are you planning on getting married next year?", "Married": "How long have you been married?" }, "Are you planning on getting married next year?": { "Yes": "0 Thanks for your answers! We hope that you will build a cool family!", "No": "0 Thanks for your answers! Who knows, maybe you'll find someone significant in your life!" }, "How long have you been married?": { "Less than a year": "0 Thanks for your answers! We hope that you will celebrate your one year anniversary soon!", "More than a year": "Have you celebrated your one year anniversary?" }, "Have you celebrated your one year anniversary?": { "Yes": "0 Wow, cool! Keep it up! Thanks for your answers.", "No": "0 We think you should fix it next time! Thanks for your answers!" } }
递归计算路径数
为了计算所有可能的路径,我们可以使用递归函数。该函数接受JSON节点和当前问题作为参数。
- 基本情况: 如果当前问题没有对应的答案(即,到达问卷的末尾),则返回1,表示找到了一条有效路径。
- 递归步骤: 如果当前问题有对应的答案,则遍历所有可能的答案。对于每个答案,递归调用该函数,并将下一个问题作为参数传递。将所有递归调用的结果相加,得到总的路径数。
以下是Java代码示例,使用了Jackson库来解析JSON:
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import com.fasterxml.jackson.databind.JsonNode; import com.fasterxml.jackson.databind.ObjectMapper; import java.io.IOException; import java.util.concurrent.atomic.AtomicInteger; public class QuizService { public static int countWays(JsonNode node, String question) { JsonNode answers = node.get(question); if (answers == NULL) { return 1; } AtomicInteger ways = new AtomicInteger(); answers.fields().forEachRemaining(answer -> ways.addAndGet(countWays(node, answer.getValue().asText()))); return ways.get(); } public static void main(String[] args) throws IOException { String jsonString = "{" + " "What is your marital status?": {" + " "Single": "Are you planning on getting married next year?"," + " "Married": "How long have you been married?"" + " }," + " "Are you planning on getting married next year?": {" + " "Yes": "0 Thanks for your answers! We hope that you will build a cool family!"," + " "No": "0 Thanks for your answers! Who knows, maybe you'll find someone significant in your life!"" + " }," + " "How long have you been married?": {" + " "Less than a year": "0 Thanks for your answers! We hope that you will celebrate your one year anniversary soon!"," + " "More than a year": "Have you celebrated your one year anniversary?"" + " }," + " "Have you celebrated your one year anniversary?": {" + " "Yes": "0 Wow, cool! Keep it up! Thanks for your answers."," + " "No": "0 We think you should fix it next time! Thanks for your answers!"" + " }" + "}"; ObjectMapper mapper = new ObjectMapper(); JsonNode node = mapper.readTree(jsonString); System.out.println(countWays(node, "What is your marital status?")); // Output: 4 } }
代码解释:
- countWays(JsonNode node, String question): 递归函数,用于计算从给定问题开始的路径数。
- JsonNode answers = node.get(question);: 获取当前问题的所有答案。
- if (answers == null): 如果当前问题没有答案,说明到达了问卷的终点,返回1。
- answers.fields().forEachRemaining(answer -> …): 遍历所有可能的答案。
- ways.addAndGet(countWays(node, answer.getValue().asText())): 递归调用 countWays 函数,并将下一个问题作为参数传递。
- ObjectMapper mapper = new ObjectMapper();: 创建 Jackson ObjectMapper 对象,用于解析 JSON 字符串。
- JsonNode node = mapper.readTree(jsonString);: 将 JSON 字符串解析为 JsonNode 对象。
设计注意事项
- 循环依赖: 在设计问卷结构时,需要避免循环依赖,否则递归函数可能会无限循环。例如,问题A的答案指向问题B,问题B的答案又指向问题A。
- 性能: 对于非常复杂的问卷,递归可能会导致栈溢出。在这种情况下,可以考虑使用迭代的方式来解决。
- 错误处理: 在实际应用中,需要添加错误处理机制,例如处理JSON解析错误、处理找不到问题等情况。
- JSON结构验证: 应该在代码中加入JSON结构验证,确保JSON文件符合预期的格式。
总结
本文介绍了一种使用Java和递归算法,计算基于JSON配置的问卷调查中所有可能的路径数量的方法。通过理解JSON结构和递归算法,我们可以轻松地计算出完成问卷调查的不同方式的总数。同时,我们也讨论了在设计此类问卷调查逻辑时的一些注意事项,以确保问卷的正确性和性能。
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