> For the complete documentation index, see [llms.txt](https://doongu.gitbook.io/pk_select/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doongu.gitbook.io/pk_select/project-development/untitled/ui/secondpage/table/undefined.md).

# 데이터 정렬

login 성공 후 응답 받은 json 데이터를 강의, 과제, 시험 별로 분류를 한 뒤, 마감 기한이 임박한 과목부터 표시하고 과목 안에서도 마감기한이 임박한 항목 순으로 정렬한다.

```javascript
let lms_data_json = new Array(json['lms_data'].length)

                for (let i = 0; i < json['lms_data'].length; i++) {
                    lms_data_json[i] = json['lms_data'][i]
                }
                //강의, 과제, 시험 별로 분류
                let subject = new Array(3)

                for (let s = 0; s < 3; s++) {
                    subject[s] = new Array(0)
                }

                for (let i = 0; i < lms_data_json.length; i++) {
                    if (lms_data_json[i]['class'] == '수업') {
                        subject[0].push(lms_data_json[i])
                    } else if (lms_data_json[i]['class'] == '과제') {
                        subject[1].push(lms_data_json[i])
                    } else {
                        subject[2].push(lms_data_json[i])
                    }
                }


                //subject[]를 날짜 순으로 정렬
                for (let s = 0; s < 3; s++) {
                    subject[s] = subject[s].sort((a, b) => {
                        if (a['date_deadline'] > b['date_deadline']) {
                            return 1;
                        } else if (a['date_deadline'] < b['date_deadline']) {
                            return -1;
                        }
                    })
                }

                //list_sequence[]에 강의,과제,시험 별로 존재하는 과목을 1번만 날짜 순서대로 추출
                let list_sequence = new Array(3);
                for (let s = 0; s < 3; s++) {
                    list_sequence[s] = new Array(0);
                    list_sequence[s] = subject[s].map(function (Subject_name) {
                        // arr : subject_name만 추출
                        return Subject_name['subject_name'];
                    }).filter(function (Subject_name, index, arr) {
                        // arr.indexOf(Subject_name): arr에 속하는 Subject_name의 인덱스가 
                        // 지금 계산 중인 엔덱스와 같으면 반환
                        return arr.indexOf(Subject_name) === index;
                    });
                }

                // list_sequence[]에 쌓인 과목 순으로 subject[]추출해서 answer[]에 push
                let list_sequence_deque = new Array(3)
                let len_deque = new Array(3)
                let answer = new Array(3)
                for (let s = 0; s < 3; s++) {
                    list_sequence_deque[s] = new Deque
                    for (let i = 0; i < list_sequence[s].length; i++) {
                        list_sequence_deque[s].push_back(list_sequence[s][i])
                    }
                    len_deque[s] = list_sequence_deque[s]['arr'].length
                    answer[s] = new Array()

                    for (let i = 0; i < len_deque[s]; i++) {
                        let current_subject = list_sequence_deque[s].pop_front()
                        for (let j = 0; j < subject[s].length; j++) {
                            if (current_subject == subject[s][j]['subject_name']) {
                                answer[s].push(subject[s][j])
                            } else {
                                continue;
                            }
                        }
                    }
                }
```


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