List<HttpCookie> cookieList = JSONArray.parseArray(loginCookies, HttpCookie.class);会报错吗

这段代码可能会报错，具体原因取决于你的环境和引入的依赖。假设你使用的是阿里巴巴的 fastjson 库，`JSONArray.parseArray` 方法的第二个参数应该是 `Type` 类型，而不是具体的类。你可以尝试修改代码如下：

Type type = new TypeReference<List<HttpCookie>>(){}.getType();
List<HttpCookie> cookieList = JSONArray.parseArray(loginCookies, type);

这样应该可以解决报错问题。请确保你已正确导入相关的依赖和类，并根据你自己的环境进行调整。如果问题仍然存在，请提供具体的报错信息以便更好地帮助你解决问题。

相关问题

List<SchemaRowRule> userRowRuleList = schemaRowRuleList.stream() .filter(schemaRowRuleEo -> { List<String> userList = JSONArray.parseArray(schemaRowRuleEo.getRowPermissionUserList(), String.class); List<String> orgList = JSONArray.parseArray(schemaRowRuleEo.getRowPermissionOrgList(), String.class); return userList.contains(userUid) || orgList.contains(orgCode); }) .map(schemaRowRuleEo -> { SchemaRowRule schemaRowRule = SchemaRowRule.builder().build(); BeanUtils.copyProperties(schemaRowRuleEo, schemaRowRule); return schemaRowRule; }) .collect(Collectors.toList()); List<SchemaColumnRule> userColumnRuleList = schemaColumnRuleList.stream() .filter(rule -> { if (StringUtils.isNotEmpty(rule.getColumnPermissionUserList())) { List<String> userList = JSONArray.parseArray(rule.getColumnPermissionUserList(), String.class); return userList.contains(userUid); } else if (StringUtils.isNotEmpty(rule.getColumnPermissionOrgList())) { List<String> orgList = JSONArray.parseArray(rule.getColumnPermissionOrgList(), String.class); return orgList.contains(orgCode); } return false; }) .map(rule -> { SchemaColumnRule columnRule = new SchemaColumnRule(); BeanUtils.copyProperties(rule, columnRule); return columnRule; }) .collect(Collectors.toList());代码优化

可以考虑使用方法引用和lambda表达式进一步简化代码：

List<SchemaRowRule> userRowRuleList = schemaRowRuleList.stream()
        .filter(schemaRowRuleEo -> {
            List<String> userList = JSON.parseArray(schemaRowRuleEo.getRowPermissionUserList(), String.class);
            List<String> orgList = JSON.parseArray(schemaRowRuleEo.getRowPermissionOrgList(), String.class);
            return userList.contains(userUid) || orgList.contains(orgCode);
        })
        .map(schemaRowRuleEo -> {
            SchemaRowRule schemaRowRule = new SchemaRowRule();
            BeanUtils.copyProperties(schemaRowRuleEo, schemaRowRule);
            return schemaRowRule;
        })
        .collect(Collectors.toList());

List<SchemaColumnRule> userColumnRuleList = schemaColumnRuleList.stream()
        .filter(rule -> {
            List<String> userList = Optional.ofNullable(rule.getColumnPermissionUserList())
                    .map(userListStr -> JSON.parseArray(userListStr, String.class))
                    .orElse(Collections.emptyList());
            List<String> orgList = Optional.ofNullable(rule.getColumnPermissionOrgList())
                    .map(orgListStr -> JSON.parseArray(orgListStr, String.class))
                    .orElse(Collections.emptyList());
            return userList.contains(userUid) || orgList.contains(orgCode);
        })
        .map(rule -> {
            SchemaColumnRule columnRule = new SchemaColumnRule();
            BeanUtils.copyProperties(rule, columnRule);
            return columnRule;
        })
        .collect(Collectors.toList());

这里使用了Optional类来避免空指针异常，对于可能为空的列表，可以使用`Optional.ofNullable()`方法将其转换为Optional对象，然后使用`map()`方法进行转换或默认值设置。同时，使用lambda表达式可以更加简洁地实现函数式编程。

List<SchemaRowRule> userRowRuleList = schemaRowRuleList.stream() .filter(schemaRowRuleEo -> { List<String> userList = JSONArray.parseArray(schemaRowRuleEo.getRowPermissionUserList(), String.class); List<String> orgList = JSONArray.parseArray(schemaRowRuleEo.getRowPermissionOrgList(), String.class); return userList.contains(userUid) || orgList.contains(orgCode); }) .map(schemaRowRuleEo -> { SchemaRowRule schemaRowRule = SchemaRowRule.builder().build(); BeanUtils.copyProperties(schemaRowRuleEo, schemaRowRule); return schemaRowRule; }) .collect(Collectors.toList()); List<SchemaColumnRule> userColumnRuleList = schemaColumnRuleList.stream() .filter(rule -> { if (StringUtils.isNotEmpty(rule.getColumnPermissionUserList())) { List<String> userList = JSONArray.parseArray(rule.getColumnPermissionUserList(), String.class); return userList.contains(userUid); } else if (StringUtils.isNotEmpty(rule.getColumnPermissionOrgList())) { List<String> orgList = JSONArray.parseArray(rule.getColumnPermissionOrgList(), String.class); return orgList.contains(orgCode); } return false; }) .map(rule -> { SchemaColumnRule columnRule = new SchemaColumnRule(); BeanUtils.copyProperties(rule, columnRule); return columnRule; }) .collect(Collectors.toList());优化代码

可以考虑使用方法引用来简化Lambda表达式，同时避免多次解析JSON字符串，代码如下：

List<SchemaRowRule> userRowRuleList = schemaRowRuleList.stream()
        .filter(schemaRowRuleEo -> {
            List<String> userList = JSONArray.parseArray(schemaRowRuleEo.getRowPermissionUserList(), String.class);
            List<String> orgList = JSONArray.parseArray(schemaRowRuleEo.getRowPermissionOrgList(), String.class);
            return userList.contains(userUid) || orgList.contains(orgCode);
        })
        .map(schemaRowRuleEo -> {
            SchemaRowRule schemaRowRule = new SchemaRowRule();
            BeanUtils.copyProperties(schemaRowRuleEo, schemaRowRule);
            return schemaRowRule;
        })
        .collect(Collectors.toList());
List<SchemaColumnRule> userColumnRuleList = schemaColumnRuleList.stream()
        .filter(rule -> {
            List<String> userList = Optional.ofNullable(rule.getColumnPermissionUserList())
                    .map(jsonArray -> JSONArray.parseArray(jsonArray, String.class))
                    .orElse(Collections.emptyList());
            List<String> orgList = Optional.ofNullable(rule.getColumnPermissionOrgList())
                    .map(jsonArray -> JSONArray.parseArray(jsonArray, String.class))
                    .orElse(Collections.emptyList());
            return userList.contains(userUid) || orgList.contains(orgCode);
        })
        .map(BeanUtils::instantiate)
        .collect(Collectors.toList());

其中，使用了`Optional`来避免`null`值的判断和处理，使用`BeanUtils::instantiate`方法引用来创建对象并复制属性。