384 Commits

Author SHA1 Message Date
3d2a4049d3 시스템 사용율 모니터링 기능 로그 수정 2026-03-19 17:38:30 +09:00
0cbaf53e86 시스템 사용율 모니터링 기능 추가 2026-03-19 17:08:37 +09:00
80fd2bda3e 시스템 사용율 모니터링 기능 테스트 2026-03-19 16:52:26 +09:00
fb647e5991 시스템 사용율 모니터링 기능 테스트 2026-03-19 16:36:39 +09:00
87575a62f7 시스템 사용율 모니터링 기능 테스트 2026-03-19 16:27:05 +09:00
246c11f8b0 시스템 사용율 모니터링 기능 테스트 2026-03-19 16:12:27 +09:00
2c1f9bdf5c 시스템 사용율 모니터링 기능 테스트 2026-03-19 15:46:23 +09:00
5799f7dfb2 시스템 사용율 모니터링 기능 테스트 2026-03-19 15:41:18 +09:00
9f428e9572 시스템 사용율 모니터링 기능 테스트 2026-03-19 15:37:26 +09:00
904968a1be 시스템 사용율 모니터링 기능 테스트 2026-03-19 15:25:20 +09:00
4b44be6a29 시스템 사용율 모니터링 기능 테스트 2026-03-19 15:25:11 +09:00
f9f0662f8e 시스템 사용율 모니터링 기능 테스트 2026-03-19 15:24:03 +09:00
7416327cc3 ai 학습실행 run command 수정 2026-03-11 10:18:33 +09:00
da31bd9d99 ai 학습실행 run command 수정 2026-03-10 23:09:39 +09:00
f3e5347335 ai 학습실행 run command 수정 2026-03-10 22:48:10 +09:00
7d5581f60c 데이터셋 삭제 플래그 추가 2026-03-10 19:09:00 +09:00
b4428217ea hello 2026-03-10 18:01:03 +09:00
8a63fdacdd confict 2026-03-10 17:27:14 +09:00
cb2e42143a confict 2026-03-10 17:23:27 +09:00
997e85c0cc 운영환경처리 2026-03-10 17:22:27 +09:00
731ca59475 심볼릭 링크로 수정 2026-03-10 17:16:54 +09:00
fe6d37456d 하드링크 실패 시 심볼릭 링크로 만들어보기 2026-03-10 16:56:35 +09:00
6c98a48a5d 에러 수정 2026-03-10 16:34:02 +09:00
81b69caa99 운영환경처리 2026-03-10 16:00:23 +09:00
7fce070686 spotless 2026-03-10 15:25:32 +09:00
8d83505ee7 운영환경처리 2026-03-10 15:00:31 +09:00
0ff38b24d4 Merge branch 'feat/training_260202' into develop
# Conflicts:
#	src/main/java/com/kamco/cd/training/train/service/JobRecoveryOnStartupService.java
2026-03-10 14:22:14 +09:00
265813e6f7 Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-03-10 14:19:40 +09:00
8190a6e9c8 unzip 2026-03-10 14:19:22 +09:00
5c082f7c9d 운영환경처리 2026-03-10 08:39:42 +09:00
43d0e55cb7 Merge branch 'develop' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into develop 2026-03-04 06:12:27 +09:00
df3bedfbda prod 2026-03-04 05:35:21 +09:00
c26a48d07d prod 2026-03-04 05:25:04 +09:00
1c7c213977 Merge pull request '학습 실패 처리 수정' (#155) from feat/training_260303 into develop
Reviewed-on: #155
2026-03-04 01:43:56 +09:00
6583a45abd 학습 실패 처리 수정 2026-03-04 01:43:34 +09:00
b15f77d894 Merge pull request '학습 실패 처리 수정' (#154) from feat/training_260303 into develop
Reviewed-on: #154
2026-03-04 01:34:40 +09:00
3bcd99f0db 학습 실패 처리 수정 2026-03-04 01:34:16 +09:00
5513cd60a0 Merge pull request '리커버리 수정' (#153) from feat/training_260303 into develop
Reviewed-on: #153
2026-03-04 01:18:19 +09:00
7b35d26a13 리커버리 수정 2026-03-04 01:18:04 +09:00
d92ff88ef7 Merge pull request '리커버리 수정' (#152) from feat/training_260303 into develop
Reviewed-on: #152
2026-03-04 01:15:04 +09:00
bfcddd0327 리커버리 수정 2026-03-04 01:14:35 +09:00
e193330f99 Merge pull request '리커버리 수정' (#151) from feat/training_260303 into develop
Reviewed-on: #151
2026-03-04 01:00:45 +09:00
6c0184597d 리커버리 수정 2026-03-04 01:00:26 +09:00
1e8a8d8dad Merge pull request '리커버리 수정 테스트 로그 추가,' (#150) from feat/training_260303 into develop
Reviewed-on: #150
2026-03-04 00:44:03 +09:00
eb7680b952 리커버리 수정 테스트 로그 추가, 2026-03-04 00:43:20 +09:00
2c357ebf27 Merge pull request '리커버리 수정 테스트,,' (#149) from feat/training_260303 into develop
Reviewed-on: #149
2026-03-04 00:30:36 +09:00
0daaa1c8cb 리커버리 수정 테스트,, 2026-03-04 00:30:17 +09:00
96383595df Merge pull request '리커버리 수정' (#148) from feat/training_260303 into develop
Reviewed-on: #148
2026-03-04 00:22:09 +09:00
c5e03f7ca8 리커버리 수정 2026-03-04 00:21:51 +09:00
df2acc4dfb Merge pull request '리커버리 수정' (#147) from feat/training_260303 into develop
Reviewed-on: #147
2026-03-04 00:06:21 +09:00
693de354d2 리커버리 수정 2026-03-04 00:06:04 +09:00
62cdc5015e Merge pull request '학습 리커버리 테스트' (#146) from feat/training_260303 into develop
Reviewed-on: #146
2026-03-03 23:45:46 +09:00
5c11263d55 랃그 2026-03-03 23:45:10 +09:00
dd5031ae3a Merge pull request 'log.info 추가' (#145) from feat/training_260303 into develop
Reviewed-on: #145
2026-03-03 23:40:44 +09:00
c369e01ada log.info 추가 2026-03-03 23:40:18 +09:00
54991622f1 log.info 추가 2026-03-03 23:31:25 +09:00
e9f8bb37fa spotless 적용 2026-03-03 23:06:45 +09:00
17d69486ec spotless 적용 2026-03-03 23:04:55 +09:00
f3c822587f spotless 적용 2026-03-03 23:02:53 +09:00
948f1061da Merge pull request 'spotless 적용' (#144) from feat/training_260202 into develop
Reviewed-on: #144
2026-03-03 23:01:39 +09:00
335f0dbb9b spotless 적용 2026-03-03 23:01:22 +09:00
42438b3cd5 Merge pull request '하드링크 수정' (#143) from feat/training_260202 into develop
Reviewed-on: #143
2026-03-03 22:51:50 +09:00
69eaba1a83 하드링크 수정 2026-03-03 22:51:10 +09:00
524ae200b0 prod 2026-03-03 08:44:31 +09:00
4f763d3c2e prod 2026-03-03 08:44:01 +09:00
9ebf525387 prod 2026-03-03 08:42:16 +09:00
4ab672a96e 중복 경고 2026-02-28 01:56:48 +09:00
7d2a367e3f Merge pull request '리커버리 삭제' (#142) from feat/training_260202 into develop
Reviewed-on: #142
2026-02-28 01:24:49 +09:00
365ad81cad 리커버리 삭제 2026-02-28 01:24:34 +09:00
67a67749c3 Merge pull request '리커버리 추가' (#141) from feat/training_260202 into develop
Reviewed-on: #141
2026-02-28 01:02:10 +09:00
9dfa54fbf9 리커버리 추가 2026-02-28 01:01:38 +09:00
251307b5c9 Merge pull request '하드링크 수정' (#140) from feat/training_260202 into develop
Reviewed-on: #140
2026-02-27 23:31:24 +09:00
12f6bb7154 하드링크 수정 2026-02-27 23:31:04 +09:00
8423a03d31 Merge pull request '하드링크 로그 추가' (#139) from feat/training_260202 into develop
Reviewed-on: #139
2026-02-27 23:12:17 +09:00
aa3af4e9d0 하드링크 로그 추가 2026-02-27 23:12:00 +09:00
d6cdf6b690 Merge pull request '하드링크 로그 추가' (#138) from feat/training_260202 into develop
Reviewed-on: #138
2026-02-27 22:51:51 +09:00
7ca37bf1e4 하드링크 로그 추가 2026-02-27 22:51:27 +09:00
9cfa299e58 Merge pull request 'feat/training_260202' (#137) from feat/training_260202 into develop
Reviewed-on: #137
2026-02-24 16:55:35 +09:00
901dde066d 하이파라미터 상세조회 수정 2026-02-24 16:54:58 +09:00
cb0a38274a val_interval 기본값 1로 수정 2026-02-24 16:24:16 +09:00
b8194df9ae 학습 실패여부 확인 기능 추가 2026-02-24 15:43:35 +09:00
a137e71420 Merge pull request 'feat/training_260202' (#136) from feat/training_260202 into develop
Reviewed-on: #136
2026-02-24 15:11:12 +09:00
7c5f07683e 학습 실패여부 확인 기능 추가 2026-02-24 15:10:48 +09:00
159fb281d4 최근 사용일시 업데이트 2026-02-23 15:40:24 +09:00
97192ff811 최근 사용일시 업데이트 2026-02-23 15:39:25 +09:00
4f3fb675be 하이퍼 파라미터 사용회수 카운트 기능 추가 및 조회 수정 2026-02-23 15:37:28 +09:00
e6caea05b3 하이퍼 파라미터 사용회수 카운트 기능 추가 및 조회 수정 2026-02-23 15:19:40 +09:00
f08f80622f Merge pull request 'feat/training_260202' (#135) from feat/training_260202 into develop
Reviewed-on: #135
2026-02-23 14:31:11 +09:00
fd63824edc 하이퍼 파라미터 미사용 컬럼제거, 사용횟수 컬럼 추가 2026-02-23 14:30:29 +09:00
8a44df26b8 하이퍼 파라미터 상세조회 삭제여부 조건 제거 2026-02-23 14:17:34 +09:00
cb97c5e59e 하이퍼 파라미터 dto 주석 수정 2026-02-23 14:13:25 +09:00
8f75b16dc6 학습실행 주석 추가 2026-02-23 12:30:54 +09:00
e565fd7a34 Merge pull request '전이학습 상세 수정' (#134) from feat/training_260202 into develop
Reviewed-on: #134
2026-02-20 18:34:58 +09:00
c2978e41c2 전이학습 상세 수정 2026-02-20 18:34:32 +09:00
8c45b39dcc Merge pull request 'feat/training_260202' (#133) from feat/training_260202 into develop
Reviewed-on: #133
2026-02-20 18:22:45 +09:00
07429dbe8e 전이학습 상세 수정 2026-02-20 18:22:19 +09:00
83859bb9fe 전이학습 상세 - before dataset 추가 2026-02-20 16:05:29 +09:00
b119f333ac Merge pull request 'best epoch 파일 선택 수정' (#132) from feat/training_260202 into develop
Reviewed-on: #132
2026-02-20 15:41:58 +09:00
564a99448c best epoch 파일 선택 수정 2026-02-20 15:41:34 +09:00
bbe04ee458 Merge pull request 'best epoch 파일 선택 수정' (#131) from feat/training_260202 into develop
Reviewed-on: #131
2026-02-20 15:31:50 +09:00
38ae6e5575 best epoch 파일 선택 수정 2026-02-20 15:31:33 +09:00
fab3c83a69 Merge pull request 'best epoch 파일 선택 수정' (#130) from feat/training_260202 into develop
Reviewed-on: #130
2026-02-20 15:15:39 +09:00
40fe98ae0c best epoch 파일 선택 수정 2026-02-20 15:15:12 +09:00
fb87a0f32f Merge pull request '중복 수정 제거' (#129) from feat/training_260202 into develop
Reviewed-on: #129
2026-02-20 14:31:15 +09:00
255ff10a56 Merge remote-tracking branch 'origin/feat/training_260202' into feat/training_260202 2026-02-20 14:30:42 +09:00
f674f73330 중복 수정 제거 2026-02-20 14:30:34 +09:00
63794ec4ec Merge pull request 'feat/training_260202' (#128) from feat/training_260202 into develop
Reviewed-on: #128
2026-02-20 14:25:13 +09:00
db2bc32e7d test metrics insert 로직 수정 2026-02-20 14:24:23 +09:00
37786a1e44 선택한 테스트 에폭 로그 추가 2026-02-20 14:13:49 +09:00
901ea83fb7 test 선택한 에폭 log 확인 추가 2026-02-20 14:13:22 +09:00
bf6dc9740f Merge pull request 'tmp 하드링크 수정' (#127) from feat/training_260202 into develop
Reviewed-on: #127
2026-02-20 13:37:04 +09:00
832e1b5681 tmp 하드링크 수정 2026-02-20 13:36:48 +09:00
a23bc8dd67 Merge pull request 'tmp 하드링크 수정' (#126) from feat/training_260202 into develop
Reviewed-on: #126
2026-02-20 12:30:23 +09:00
4f16355cda tmp 하드링크 수정 2026-02-20 12:29:57 +09:00
13023a06cc Merge pull request 'feat/training_260202' (#125) from feat/training_260202 into develop
Reviewed-on: #125
2026-02-20 12:23:37 +09:00
df46a8f79f Merge remote-tracking branch 'origin/feat/training_260202' into feat/training_260202 2026-02-20 12:21:50 +09:00
fcd48831c5 tmp 하드링크 수정 2026-02-20 12:21:41 +09:00
28b50bd949 Merge pull request 'test json 수정' (#124) from feat/training_260202 into develop
Reviewed-on: #124
2026-02-20 12:20:36 +09:00
62c9d73b94 test json 수정 2026-02-20 12:20:15 +09:00
78ab928459 Merge pull request 'ing-cnt 로직에 step2도 추가, transactional' (#123) from feat/training_260202 into develop
Reviewed-on: #123
2026-02-20 12:05:40 +09:00
68c0e634c5 ing-cnt 로직에 step2도 추가, transactional 2026-02-20 12:05:20 +09:00
ae3601cff5 Merge pull request '비밀번호 변경 security 로직 수정' (#122) from feat/training_260202 into develop
Reviewed-on: #122
2026-02-20 11:37:08 +09:00
ad421e3c74 비밀번호 변경 security 로직 수정 2026-02-20 11:36:21 +09:00
5f62f4a209 Merge pull request 'test 실행 시 회차별 데이터 적재하기' (#121) from feat/training_260202 into develop
Reviewed-on: #121
2026-02-19 18:19:40 +09:00
46db1512a6 test 실행 시 회차별 데이터 적재하기 2026-02-19 18:18:12 +09:00
29bf155b4f Merge pull request 'LogErrorLevel -> CodeExpose 추가' (#120) from feat/training_260202 into develop
Reviewed-on: #120
2026-02-19 17:35:45 +09:00
2034a8fcb2 LogErrorLevel -> CodeExpose 추가 2026-02-19 17:35:15 +09:00
da03f8b749 Merge pull request '모델학습관리 > 모델별 진행 상황 API 추가' (#119) from feat/training_260202 into develop
Reviewed-on: #119
2026-02-19 17:17:46 +09:00
bf212842d8 모델학습관리 > 모델별 진행 상황 API 추가 2026-02-19 17:17:11 +09:00
6a2deff93b Merge pull request '모델학습관리 > 목록 API 메모,작성자 추가로 인한 수정' (#118) from feat/training_260202 into develop
Reviewed-on: #118
2026-02-19 15:35:03 +09:00
d2ca94ea55 모델학습관리 > 목록 API 메모,작성자 추가로 인한 수정 2026-02-19 15:34:18 +09:00
b0a99afcd3 Merge pull request '모델학습 2단계 패키징 시작,종료일시,상태 로직 추가' (#117) from feat/training_260202 into develop
Reviewed-on: #117
2026-02-19 14:44:12 +09:00
5ddf6dfeeb 모델학습 2단계 패키징 시작,종료일시,상태 로직 추가 2026-02-19 14:43:14 +09:00
eedf72d7aa Merge pull request '공통코드 common-code 로 prefix 변경' (#116) from feat/training_260202 into develop
Reviewed-on: #116
2026-02-19 11:39:23 +09:00
5e13c0b396 공통코드 common-code 로 prefix 변경 2026-02-19 11:38:56 +09:00
25e9941464 Merge pull request '로그관리 로직 커밋' (#115) from feat/training_260202 into develop
Reviewed-on: #115
2026-02-19 11:16:40 +09:00
435f60dcac 로그관리 로직 커밋 2026-02-19 11:13:40 +09:00
a0da0392cf Merge pull request '압축해제 시, 동일 폴더가 있으면 삭제 후 재업로드' (#114) from feat/training_260202 into develop
Reviewed-on: #114
2026-02-18 16:37:13 +09:00
5f5eabca19 압축해제 시, 동일 폴더가 있으면 삭제 후 재업로드 2026-02-18 16:36:46 +09:00
a3ebee12b5 Merge pull request 'feat/training_260202' (#113) from feat/training_260202 into develop
Reviewed-on: #113
2026-02-18 16:29:55 +09:00
413631840f 학습데이터 다운로드 security 제외하기 2026-02-18 16:29:28 +09:00
c7f63d1ad1 압축 해제한 폴더의 갯수 맞는지 log 찍기 + 갯수 맞지 않으면 exception 리턴 2026-02-18 16:22:32 +09:00
c5b14ca09d Merge pull request '업로드 시 uid로 중복체크 -> 삭제인 row는 제외하기' (#112) from feat/training_260202 into develop
Reviewed-on: #112
2026-02-18 15:40:38 +09:00
7529d23488 업로드 시 uid로 중복체크 -> 삭제인 row는 제외하기 2026-02-18 15:40:14 +09:00
44b3b857b1 Merge pull request 'feat/training_260202' (#111) from feat/training_260202 into develop
Reviewed-on: #111
2026-02-18 15:29:25 +09:00
cb3e51d712 업로드 시 exception 메세지 처리, 에폭 10 이상으로 실행되게 수정 2026-02-18 15:28:29 +09:00
99a4597b5f train 결과 +1 했던 거 제거하기 2026-02-18 14:50:53 +09:00
63124455fd Merge pull request '1단계 실행 시, 시작시간 update 추가' (#110) from feat/training_260202 into develop
Reviewed-on: #110
2026-02-18 13:06:33 +09:00
d9da0d4610 1단계 실행 시, 시작시간 update 추가 2026-02-18 13:05:59 +09:00
e75ea8d8a5 Merge pull request '하이퍼 파라미터 수정' (#109) from feat/training_260202 into develop
Reviewed-on: #109
2026-02-13 15:00:50 +09:00
22c481556c 하이퍼 파라미터 수정 2026-02-13 15:00:30 +09:00
31ac4209c3 Merge pull request '하이퍼 파라미터 수정' (#108) from feat/training_260202 into develop
Reviewed-on: #108
2026-02-13 14:47:19 +09:00
0798b352c7 하이퍼 파라미터 수정 2026-02-13 14:46:59 +09:00
df09935789 Merge pull request '하이퍼 파라미터 수정' (#107) from feat/training_260202 into develop
Reviewed-on: #107
2026-02-13 14:42:54 +09:00
5b074bdb81 하이퍼 파라미터 수정 2026-02-13 14:42:39 +09:00
bb15b1b0f2 Merge pull request '하이퍼 파라미터 수정' (#106) from feat/training_260202 into develop
Reviewed-on: #106
2026-02-13 14:38:01 +09:00
28919345c2 하이퍼 파라미터 수정 2026-02-13 14:37:44 +09:00
f4d491ed94 Merge pull request '하이퍼 파라미터 수정' (#105) from feat/training_260202 into develop
Reviewed-on: #105
2026-02-13 14:31:13 +09:00
aa0552aaa7 하이퍼 파라미터 수정 2026-02-13 14:30:45 +09:00
96cb7d2f23 Merge pull request '사용가능 용량 API 수정' (#104) from feat/training_260202 into develop
Reviewed-on: #104
2026-02-13 14:19:26 +09:00
5d0aca14a6 사용가능 용량 API 수정 2026-02-13 14:19:09 +09:00
cc6305b0df Merge pull request '이어하기 수정' (#103) from feat/training_260202 into develop
Reviewed-on: #103
2026-02-13 14:08:51 +09:00
af8d59ddfa 이어하기 수정 2026-02-13 14:08:35 +09:00
3916b13876 Merge pull request '이어하기 수정' (#102) from feat/training_260202 into develop
Reviewed-on: #102
2026-02-13 14:04:52 +09:00
4f24e09c57 이어하기 수정 2026-02-13 14:04:33 +09:00
ee4a06df30 Merge pull request '이어하기 수정' (#101) from feat/training_260202 into develop
Reviewed-on: #101
2026-02-13 13:57:48 +09:00
4da477706f 이어하기 수정 2026-02-13 13:57:01 +09:00
bb5ff7c3cd Merge pull request '이어하기 로그 수정' (#100) from feat/training_260202 into develop
Reviewed-on: #100
2026-02-13 13:27:08 +09:00
a070566048 이어하기 로그 수정 2026-02-13 13:26:54 +09:00
312a96dda1 Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#99) from feat/training_260202 into develop
Reviewed-on: #99
2026-02-13 13:24:10 +09:00
a5b3ae613f 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 13:23:53 +09:00
e38231e06d Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#98) from feat/training_260202 into develop
Reviewed-on: #98
2026-02-13 13:17:41 +09:00
979af088be 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 13:17:27 +09:00
bf6e45d706 Merge pull request 'feat/training_260202' (#97) from feat/training_260202 into develop
Reviewed-on: #97
2026-02-13 12:53:32 +09:00
e5a1cab36b Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-13 12:53:04 +09:00
bb67996742 text 2026-02-13 12:53:00 +09:00
1981d6d1ce Merge remote-tracking branch 'origin/feat/training_260202' into feat/training_260202 2026-02-13 12:53:00 +09:00
47f4ffd4db 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 12:52:11 +09:00
7fa8921a25 Merge pull request 'flush 추가해보기' (#96) from feat/training_260202 into develop
Reviewed-on: #96
2026-02-13 12:47:11 +09:00
195856b846 flush 추가해보기 2026-02-13 12:46:54 +09:00
7c940351d9 Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#95) from feat/training_260202 into develop
Reviewed-on: #95
2026-02-13 12:39:21 +09:00
124da48e51 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 12:38:55 +09:00
6b834da912 Merge pull request 'feat/training_260202' (#94) from feat/training_260202 into develop
Reviewed-on: #94
2026-02-13 12:25:26 +09:00
02724e9508 주석한거 원복 2026-02-13 12:24:50 +09:00
7ed91ccab9 Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-13 12:23:12 +09:00
a7c13b985d responsePath 셋팅 삭제 2026-02-13 12:23:01 +09:00
25aaa97d65 Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#93) from feat/training_260202 into develop
Reviewed-on: #93
2026-02-13 12:21:11 +09:00
352a28b87f 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 12:20:48 +09:00
da9d47ae4a Merge pull request '주석 처리' (#92) from feat/training_260202 into develop
Reviewed-on: #92
2026-02-13 12:10:46 +09:00
bf8515163c 주석 처리 2026-02-13 12:10:08 +09:00
7d6a77bf2a Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#91) from feat/training_260202 into develop
Reviewed-on: #91
2026-02-13 12:01:01 +09:00
26828d0968 add log 2026-02-13 12:00:54 +09:00
2691f6ce16 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 12:00:42 +09:00
e2dbae15c0 Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#90) from feat/training_260202 into develop
Reviewed-on: #90
2026-02-13 11:58:55 +09:00
b246034632 Merge pull request '트랜젝션처리 임시폴더 uid업데이트' (#89) from feat/training_260202 into develop
Reviewed-on: #89
2026-02-13 11:58:25 +09:00
7e5aa5e713 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 11:57:48 +09:00
060a815e1c 트랜젝션처리 임시폴더 uid업데이트 2026-02-13 11:55:35 +09:00
687ea82d78 Merge pull request 'feat/training_260202' (#88) from feat/training_260202 into develop
Reviewed-on: #88
2026-02-13 10:51:07 +09:00
1eb4d04779 Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-13 10:50:35 +09:00
f30c0c6d45 다운로드 시 Access-Control-Expose-Headers 추가 2026-02-13 10:50:28 +09:00
12994aab60 파일 count 기능 추가 2026-02-13 10:44:49 +09:00
4ac0f19908 Merge pull request '파일 count 기능 추가' (#87) from feat/training_260202 into develop
Reviewed-on: #87
2026-02-13 10:38:48 +09:00
11d3afe295 파일 count 기능 추가 2026-02-13 10:38:24 +09:00
9e5e7595eb Merge pull request '학습실행 step1 할 때 best epoch 업데이트' (#86) from feat/training_260202 into develop
Reviewed-on: #86
2026-02-13 10:18:26 +09:00
1e62a8b097 학습실행 step1 할 때 best epoch 업데이트 2026-02-13 10:15:04 +09:00
9cd9274e99 Merge pull request '학습데이터 목록 파일 단위 MB 나오게 하기' (#85) from feat/training_260202 into develop
Reviewed-on: #85
2026-02-13 09:48:08 +09:00
26a4623aa8 학습데이터 목록 파일 단위 MB 나오게 하기 2026-02-13 09:42:36 +09:00
5d82f3ecfe Merge pull request 'tmp 파일 링크 수정' (#84) from feat/training_260202 into develop
Reviewed-on: #84
2026-02-13 09:11:05 +09:00
ce6e4f5aea tmp 파일 링크 수정 2026-02-13 09:10:45 +09:00
2ce249ab33 Merge pull request 'tmp 파일 링크 수정' (#83) from feat/training_260202 into develop
Reviewed-on: #83
2026-02-13 08:44:37 +09:00
c2215836c0 tmp 파일 링크 수정 2026-02-13 08:44:17 +09:00
e34bf68de0 Merge pull request 'tmp 파일 링크 수정' (#82) from feat/training_260202 into develop
Reviewed-on: #82
2026-02-13 08:33:58 +09:00
8c19c996f7 tmp 파일 링크 수정 2026-02-13 08:33:36 +09:00
862bda0cb9 Merge pull request '이어하기 수정' (#81) from feat/training_260202 into develop
Reviewed-on: #81
2026-02-12 23:02:12 +09:00
b5ce3ab1fb 이어하기 수정 2026-02-12 23:01:56 +09:00
90f7b17d07 Merge pull request '학습데이터 다운로드 파일 정보 API 추가' (#80) from feat/training_260202 into develop
Reviewed-on: #80
2026-02-12 22:58:47 +09:00
e1ceb769dd 학습데이터 다운로드 파일 정보 API 추가 2026-02-12 22:47:13 +09:00
2128baa46a Merge pull request 'feat/training_260202' (#79) from feat/training_260202 into develop
Reviewed-on: #79
2026-02-12 22:26:26 +09:00
4219b88fb3 학습데이터 다운로드 API 추가 2026-02-12 22:25:55 +09:00
4f94c99b64 이어하기 수정 2026-02-12 22:09:54 +09:00
875c30f467 Merge pull request 'feat/training_260202' (#78) from feat/training_260202 into develop
Reviewed-on: #78
2026-02-12 21:52:16 +09:00
d42e1afbd4 스케줄러 api 수동 호출 2026-02-12 21:51:53 +09:00
b3b8016673 csv 결과 받아오는 것 변경 2026-02-12 21:45:38 +09:00
2b29cd1ac6 Merge pull request '파라미터 변경' (#77) from feat/training_260202 into develop
Reviewed-on: #77
2026-02-12 21:30:18 +09:00
79e8259f28 파라미터 변경 2026-02-12 21:30:03 +09:00
9206fff5d0 Merge pull request 'feat/training_260202' (#76) from feat/training_260202 into develop
Reviewed-on: #76
2026-02-12 21:17:33 +09:00
032c82c2f0 file 경로 넣기 2026-02-12 21:17:10 +09:00
6204a6e5fa Merge remote-tracking branch 'origin/develop' into feat/training_260202
# Conflicts:
#	src/main/resources/application-prod.yml
2026-02-12 21:15:21 +09:00
4d9c9a86b4 패키징 zip파일 만들기 커밋 2026-02-12 21:09:40 +09:00
83204abfe9 Merge pull request '성공시 csv 파일 테이블에 저장 연결' (#74) from feat/training_260202 into develop
Reviewed-on: #74
2026-02-12 21:01:48 +09:00
5b682c1386 성공시 csv 파일 테이블에 저장 연결 2026-02-12 21:01:24 +09:00
452494d44d Merge pull request '테스트 실행 경로 수정' (#73) from feat/training_260202 into develop
Reviewed-on: #73
2026-02-12 20:49:30 +09:00
8ada26448b 테스트 실행 경로 수정 2026-02-12 20:49:14 +09:00
e442f105bc Merge pull request '도커명 변경' (#72) from feat/training_260202 into develop
Reviewed-on: #72
2026-02-12 20:37:00 +09:00
5e0a771848 도커명 변경 2026-02-12 20:36:38 +09:00
b4c2685059 Merge pull request '도커 설정 추가' (#71) from feat/training_260202 into develop
Reviewed-on: #71
2026-02-12 20:25:16 +09:00
e238f3ca88 도커 설정 추가 2026-02-12 20:24:57 +09:00
97b06eb3b3 Merge pull request '임시파일생성 경로 수정' (#70) from feat/training_260202 into develop
Reviewed-on: #70
2026-02-12 20:03:32 +09:00
ad32ca18ca 임시파일생성 경로 수정 2026-02-12 20:03:03 +09:00
98a1283ebe Merge pull request '임시파일생성 경로 수정' (#69) from feat/training_260202 into develop
Reviewed-on: #69
2026-02-12 19:36:06 +09:00
a10fccaae3 임시파일생성 경로 수정 2026-02-12 19:35:47 +09:00
c3c9191d9d Merge pull request 'hyperparam_with_modeltype' (#68) from feat/dean/hyperparam_with_modelType-bug into develop
Reviewed-on: #68
2026-02-12 19:30:29 +09:00
9fd5a15a72 hyperparam_with_modeltype 2026-02-12 19:30:08 +09:00
12f9de7367 hyperparam_with_modeltype 2026-02-12 19:16:24 +09:00
5455da1e96 hyperparam_with_modeltype 2026-02-12 19:16:13 +09:00
9e803661cd Merge pull request 'feat/training_260202' (#67) from feat/training_260202 into develop
Reviewed-on: #67
2026-02-12 19:14:39 +09:00
b0cf9e77ec Merge branch 'develop' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into develop 2026-02-12 19:14:10 +09:00
c92426aefc Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-12 19:14:09 +09:00
d5b2b8ecec hyperparam_with_modeltype 2026-02-12 19:14:01 +09:00
6185a18a7c 모델목록 검색 조건 상태값 변경 2026-02-12 19:13:56 +09:00
49d3e37458 Merge pull request '임시파일생성 경로 수정' (#66) from feat/training_260202 into develop
Reviewed-on: #66
2026-02-12 19:12:37 +09:00
1fb10830b9 임시파일생성 경로 수정 2026-02-12 19:11:51 +09:00
d7766edd24 Merge pull request 'return 형식 수정' (#65) from feat/training_260202 into develop
Reviewed-on: #65
2026-02-12 18:59:37 +09:00
0bc4453c9c hyperparam_with_modeltype 2026-02-12 18:56:32 +09:00
ae0d30e5da return 형식 수정 2026-02-12 18:55:42 +09:00
37d776dd2c Merge pull request 'hyperparam_with_modeltype' (#64) from feat/dean/hyperparam_with_modelType into develop
Reviewed-on: #64
2026-02-12 18:50:32 +09:00
0c34ea7dcb hyperparam_with_modeltype 2026-02-12 18:48:14 +09:00
3106d36431 Merge pull request '업로드 시 같은 uid로 업로드하지 못하게 조건 추가' (#63) from feat/training_260202 into develop
Reviewed-on: #63
2026-02-12 18:44:49 +09:00
ed48f697a4 업로드 시 같은 uid로 업로드하지 못하게 조건 추가 2026-02-12 18:44:04 +09:00
da92b28d97 Merge pull request '임시파일생성 소프트링크에서 하드링크로 변경' (#62) from feat/training_260202 into develop
Reviewed-on: #62
2026-02-12 18:20:30 +09:00
6c865d26fd 임시파일생성 소프트링크에서 하드링크로 변경 2026-02-12 18:18:44 +09:00
e3f00876f1 Merge pull request '문제되는 하이퍼파라미터 주석처리' (#61) from feat/training_260202 into develop
Reviewed-on: #61
2026-02-12 17:53:11 +09:00
16e156b5b4 문제되는 하이퍼파라미터 주석처리 2026-02-12 17:52:42 +09:00
60962bbc75 Merge pull request '학습실행 mount 경로 수정' (#60) from feat/training_260202 into develop
Reviewed-on: #60
2026-02-12 17:44:15 +09:00
6a939118ff 임시폴더생성 api 추가 2026-02-12 17:43:41 +09:00
64d37dcc08 Merge pull request '임시폴더생성 api 추가' (#59) from feat/training_260202 into develop
Reviewed-on: #59
2026-02-12 17:23:53 +09:00
0c0ae16c2b 임시폴더생성 api 추가 2026-02-12 17:23:34 +09:00
a2490f30e6 Merge pull request '임시폴더생성 api 수정' (#58) from feat/training_260202 into develop
Reviewed-on: #58
2026-02-12 17:14:52 +09:00
953f95aed6 임시폴더생성 api 추가 2026-02-12 17:14:26 +09:00
bd04e1f4e8 Merge pull request '임시폴더생성 api 추가' (#57) from feat/training_260202 into develop
Reviewed-on: #57
2026-02-12 17:03:39 +09:00
85633c8bab 임시폴더생성 api 추가 2026-02-12 17:03:21 +09:00
5fc15937c0 Merge pull request 'feat/training_260202' (#56) from feat/training_260202 into develop
Reviewed-on: #56
2026-02-12 17:00:08 +09:00
8b3940b446 Merge remote-tracking branch 'origin/feat/training_260202' into feat/training_260202 2026-02-12 16:59:44 +09:00
201cfefb6b 임시폴더생성 api 추가 2026-02-12 16:59:39 +09:00
9958b0999a csv 읽는 경로 수정하기, 변수명 수정 2026-02-12 16:58:28 +09:00
3547c28361 Merge pull request 'feat/training_260202' (#55) from feat/training_260202 into develop
Reviewed-on: #55
2026-02-12 16:56:23 +09:00
6c70bfed18 Merge remote-tracking branch 'origin/feat/training_260202' into feat/training_260202
# Conflicts:
#	src/main/java/com/kamco/cd/training/postgres/core/ModelTrainMngCoreService.java
2026-02-12 16:55:52 +09:00
95a75e63f4 임시폴더생성 api 추가 2026-02-12 16:55:10 +09:00
2a1dbee290 Merge pull request '모델학습 1단계 실행중인 것이 있는지 count API' (#54) from feat/training_260202 into develop
Reviewed-on: #54
2026-02-12 16:51:09 +09:00
384a321bf3 모델학습 1단계 실행중인 것이 있는지 count API 2026-02-12 16:50:40 +09:00
f4e97d389b Merge pull request 'file 확인 API 수정' (#53) from feat/training_260202 into develop
Reviewed-on: #53
2026-02-12 16:42:20 +09:00
590810ff0a file 확인 API 수정 2026-02-12 16:41:40 +09:00
a01c872982 Merge pull request 'feat/training_260202' (#52) from feat/training_260202 into develop
Reviewed-on: #52
2026-02-12 16:15:11 +09:00
905a245070 Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-12 16:14:45 +09:00
860ce35a8f docker mount 경로 추가 2026-02-12 16:14:19 +09:00
7f3f5dca40 Merge pull request 'feat/training_260202' (#51) from feat/training_260202 into develop
Reviewed-on: #51
2026-02-12 16:13:19 +09:00
4a0a4e35ed 학습 실행 수정 2026-02-12 16:12:58 +09:00
ae055dca1e 모델등록 수정 2026-02-12 16:01:14 +09:00
26e8e1492f Merge pull request 'feat/training_260202' (#50) from feat/training_260202 into develop
Reviewed-on: #50
2026-02-12 15:52:09 +09:00
8fa722011c 모델등록 수정 2026-02-12 15:51:54 +09:00
17d47d6200 Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-12 15:47:10 +09:00
e178f58fe2 chunk save log 추가 2026-02-12 15:47:06 +09:00
cd0cf5726d Merge pull request 'feat/training_260202' (#49) from feat/training_260202 into develop
Reviewed-on: #49
2026-02-12 15:44:11 +09:00
8e4bea53da 모델등록 수정 2026-02-12 15:43:52 +09:00
7a22d8ba73 containerName 생성 변경 2026-02-12 15:39:12 +09:00
2df4a7a80b csv 파일 읽는 경로 읽어서 수정, train은 epoch + 1 해서 저장 2026-02-12 15:24:30 +09:00
b451f697bc 모델 마스터 테이블 request,response 경로 추가 2026-02-12 14:59:35 +09:00
7e9c867f34 Merge pull request '모델 등록할 때 step1State를 READY로 업데이트' (#48) from feat/training_260202 into develop
Reviewed-on: #48
2026-02-12 14:35:52 +09:00
130e85f8a1 모델 등록할 때 step1State를 READY로 업데이트 2026-02-12 14:35:17 +09:00
9e713cb49d Merge pull request '업로드 로직 재수정' (#47) from feat/training_260202 into develop
Reviewed-on: #47
2026-02-12 14:21:57 +09:00
51dfa97900 업로드 로직 재수정 2026-02-12 14:21:08 +09:00
87c6b599b4 Merge pull request 'feat/training_260202' (#46) from feat/training_260202 into develop
Reviewed-on: #46
2026-02-12 12:10:04 +09:00
f50855a822 Merge branch 'feat/training_260202' of https://kamco.git.gs.dabeeo.com/MVPTeam/kamco-train-api into feat/training_260202 2026-02-12 12:08:04 +09:00
8d416317a8 베스트 에폭 API, 2단계 실행 시 best epoch 업데이트 2026-02-12 12:07:44 +09:00
22aa071476 Merge pull request 'feat/training_260202' (#45) from feat/training_260202 into develop
Reviewed-on: #45
2026-02-12 12:06:04 +09:00
a83bd09f8f containerName 생성 변경 2026-02-12 12:05:30 +09:00
96035f864a containerName 생성 변경 2026-02-12 11:42:38 +09:00
fd7dfd7e7f containerName 생성 변경 2026-02-12 11:10:28 +09:00
190b93bee8 실행 오류 수정 2026-02-12 10:58:51 +09:00
c5f19cc961 실행 오류 수정 2026-02-12 10:58:32 +09:00
c56c0ca605 실행 오류 수정 2026-02-12 10:58:26 +09:00
c6e721aa37 실행 오류 수정 2026-02-12 10:58:12 +09:00
6572e17f00 실행 오류 수정 2026-02-12 10:51:15 +09:00
be6365807c Merge pull request '실행 오류 수정' (#43) from feat/training_260202 into develop
Reviewed-on: #43
2026-02-12 10:20:05 +09:00
d2fff7dfde 실행 오류 수정 2026-02-12 10:19:44 +09:00
f66bc22c95 Merge pull request '실행 오류 수정' (#42) from feat/training_260202 into develop
Reviewed-on: #42
2026-02-12 10:14:54 +09:00
3367d0e7be 실행 오류 수정 2026-02-12 10:14:32 +09:00
352ec6ccb0 Merge pull request 'feat/training_260202' (#41) from feat/training_260202 into develop
Reviewed-on: #41
2026-02-12 09:53:02 +09:00
6a989255a3 모델별 데이터셋 목록 - G2,G3 dataTypeName 추가 2026-02-12 09:52:24 +09:00
878b21573f 테스트 실행 추가 2026-02-11 22:00:35 +09:00
0602db1436 Merge pull request '테스트 실행 추가' (#40) from feat/training_260202 into develop
Reviewed-on: #40
2026-02-11 21:58:58 +09:00
2f8bd1f98c 테스트 실행 추가 2026-02-11 21:58:25 +09:00
75231ccbba Merge pull request '추론 실행 추가' (#39) from feat/training_260202 into develop
Reviewed-on: #39
2026-02-11 20:22:01 +09:00
1249a80da5 추론 실행 추가 2026-02-11 20:21:25 +09:00
00c78eb42f Merge pull request '성능정보 그래프 데이터 API 추가' (#38) from feat/training_260202 into develop
Reviewed-on: #38
2026-02-11 19:52:23 +09:00
35767adba1 성능정보 그래프 데이터 API 추가 2026-02-11 19:52:00 +09:00
47a2a159ef Merge pull request 'test metrics 스케줄 추가' (#37) from feat/training_260202 into develop
Reviewed-on: #37
2026-02-11 19:10:37 +09:00
95548223cd test metrics 스케줄 추가 2026-02-11 19:09:58 +09:00
2debdc5312 Merge pull request 'feat/training_260202' (#36) from feat/training_260202 into develop
Reviewed-on: #36
2026-02-11 18:51:01 +09:00
207cc47f1b 스케줄 주석 2026-02-11 18:50:43 +09:00
b6338bce8e 테이블 구조 변경 2026-02-11 18:49:59 +09:00
2cfa2adcf5 tb_model_master 컬럼 추가 2026-02-11 17:21:48 +09:00
d7e19abfc9 uploadRate 로직 수정 2026-02-11 17:06:02 +09:00
c843703ee7 Merge pull request 'file 가져오기 86 호출하는 거로 추가' (#35) from feat/training_260202 into develop
Reviewed-on: #35
2026-02-11 16:53:25 +09:00
133ea6b1ba file 가져오기 86 호출하는 거로 추가 2026-02-11 16:49:48 +09:00
0df977ae81 Merge pull request '업로드 로직 86으로 수행하기 수정' (#34) from feat/training_260202 into develop
Reviewed-on: #34
2026-02-11 16:33:03 +09:00
3e39006822 업로드 로직 86으로 수행하기 수정 2026-02-11 16:32:40 +09:00
3ec1a71406 Merge pull request '업로드 로직 수정' (#33) from feat/training_260202 into develop
Reviewed-on: #33
2026-02-11 15:53:21 +09:00
16009f1623 업로드 로직 수정 2026-02-11 15:52:57 +09:00
41911014c9 Merge pull request '업로드 로직 수정' (#32) from feat/training_260202 into develop
Reviewed-on: #32
2026-02-11 15:44:54 +09:00
8ea32ce675 업로드 로직 수정 2026-02-11 15:44:18 +09:00
a4ac80c787 Merge pull request '업로드 경로 수정' (#31) from feat/training_260202 into develop
Reviewed-on: #31
2026-02-11 15:11:02 +09:00
3a5d136d34 업로드 경로 수정 2026-02-11 15:10:37 +09:00
2f63b9ddcd Merge pull request 'feat/training_260202' (#30) from feat/training_260202 into develop
Reviewed-on: #30
2026-02-11 14:08:58 +09:00
92de48b55e 전이학습 상세 로직 수정 2026-02-11 14:08:21 +09:00
224ddae68b 전이학습 상세 수정 2026-02-11 14:05:15 +09:00
885b72a0c6 Merge pull request '모델별 데이터셋 목록 조회 수정' (#29) from feat/training_260202 into develop
Reviewed-on: #29
2026-02-11 12:29:08 +09:00
9ac00d37c5 모델별 데이터셋 목록 조회 수정 2026-02-11 12:28:38 +09:00
fbb5a34867 Merge pull request '업로드 경로 원복' (#28) from feat/training_260202 into develop
Reviewed-on: #28
2026-02-11 12:12:43 +09:00
e25fc01b25 업로드 경로 원복 2026-02-11 12:12:08 +09:00
6b3f22dd66 Merge pull request '업로드 파일 max 수정' (#27) from feat/training_260202 into develop
Reviewed-on: #27
2026-02-11 11:53:04 +09:00
abc2c8e806 업로드 파일 max 수정 2026-02-11 11:52:41 +09:00
29e1d0ec7e Merge pull request '업로드 경로 수정' (#26) from feat/training_260202 into develop
Reviewed-on: #26
2026-02-11 11:41:49 +09:00
8d379d064c 업로드 경로 수정 2026-02-11 11:38:55 +09:00
a2072e0148 Merge pull request 'feat/training_260202' (#25) from feat/training_260202 into develop
Reviewed-on: #25
2026-02-11 10:28:38 +09:00
6352f74b08 업로드 성공 후 COMPLETED 해주기 2026-02-10 18:28:42 +09:00
025b573859 학습데이터 obj-list API geojson 로직 수정 2026-02-10 16:36:07 +09:00
0e9fa80092 학습데이터 등록 로직 커밋 2026-02-10 16:15:21 +09:00
2d5de88a6b Merge pull request '학습데이터 업로드, unzip 로직 진행중' (#24) from feat/training_260202 into develop
Reviewed-on: #24
2026-02-10 10:44:28 +09:00
89744d2aa1 학습데이터 업로드, unzip 로직 진행중 2026-02-10 10:43:40 +09:00
eda1d19942 Merge pull request '스웨거 로그인 설정 수정' (#23) from feat/training_260202 into develop
Reviewed-on: #23
2026-02-06 14:54:56 +09:00
b4a4486560 스웨거 로그인 설정 수정 2026-02-06 14:51:45 +09:00
653717a074 Merge pull request 'feat/training_260202' (#22) from feat/training_260202 into develop
Reviewed-on: #22
2026-02-06 11:09:36 +09:00
7cc3392856 사용 가능 공간 조회 API 추가 2026-02-06 11:09:13 +09:00
def84d2b1c 학습데이터 obj 삭제 스웨거 문구 수정 2026-02-06 10:33:12 +09:00
679795d14d Merge pull request '전이학습 추가' (#21) from feat/training_260202 into develop
Reviewed-on: #21
2026-02-05 18:23:30 +09:00
0a7f01a2f5 전이학습 추가 2026-02-05 18:23:07 +09:00
9655c62d35 Merge pull request '하이퍼 파라미터 최적값 조회 수정' (#20) from feat/training_260202 into develop
Reviewed-on: #20
2026-02-05 15:22:56 +09:00
db6844f0e7 하이퍼 파라미터 최적값 조회 수정 2026-02-05 15:22:34 +09:00
af16933378 Merge pull request 'feat/training_260202' (#19) from feat/training_260202 into develop
Reviewed-on: #19
2026-02-05 15:08:41 +09:00
29b653a4e9 데이터셋 상세조회 class 조회 추가 2026-02-05 15:08:22 +09:00
693e3ef3ab 모델학습 데이터셋 선택 목록 수정 2026-02-05 14:22:37 +09:00
03135a972a Merge pull request '모델학습 데이터셋 선택 목록 수정' (#18) from feat/training_260202 into develop
Reviewed-on: #18
2026-02-05 13:59:00 +09:00
381b7d7e0b 모델학습 데이터셋 선택 목록 수정 2026-02-05 13:58:31 +09:00
947cba2742 Merge pull request 'feat/training_260202' (#17) from feat/training_260202 into develop
Reviewed-on: #17
2026-02-04 19:54:23 +09:00
f038fdd1db 모델 상세 추가 API 커밋 2026-02-04 19:54:00 +09:00
474a3c119e 모델학습 config 정보 조회 추가 2026-02-04 19:51:43 +09:00
b2be43a76e 모델 상세 API 커밋 2026-02-04 19:46:57 +09:00
ce69bacb01 모델학습 데이터 등록 수정 2026-02-04 19:15:10 +09:00
200b384e19 모델 종류 이름 변경 2026-02-04 18:41:34 +09:00
350d622e5a 미사용 소스 정리 2026-02-04 18:26:02 +09:00
b25fc6fe68 Merge pull request 'feat/training_260202' (#16) from feat/training_260202 into develop
Reviewed-on: #16
2026-02-04 18:01:15 +09:00
6cdf4efda6 데이터셋 등록 추가 2026-02-04 18:00:56 +09:00
7d866e5869 데이터셋 테이블 수정 2026-02-04 15:13:13 +09:00
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!/CLAUDE.md
### SSL Certificates ###
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# KAMCO Training API 배포 가이드 (RedHat 9.6)
## 빠른 배포 (Quick Start)
이 문서는 RedHat 9.6 환경에서 HTTPS로 KAMCO Training API를 배포하는 방법을 설명합니다.
**접속 URL**:
- `https://api.train-kamco.com`
- `https://train-kamco.com`
## 사전 요구사항
- [x] Docker & Docker Compose 설치
- [x] Git 설치
- [x] sudo 권한
- [x] 포트 80, 443 사용 가능
## 1단계: /etc/hosts 설정
```bash
# root 권한으로 도메인 추가
echo "127.0.0.1 api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
# 확인
cat /etc/hosts | grep train-kamco
```
**예상 결과**:
```
127.0.0.1 api.train-kamco.com train-kamco.com
```
## 2단계: 방화벽 설정 (필요시)
```bash
# 방화벽 상태 확인
sudo firewall-cmd --state
# HTTP/HTTPS 포트 개방
sudo firewall-cmd --permanent --add-port=80/tcp
sudo firewall-cmd --permanent --add-port=443/tcp
# 방화벽 재로드
sudo firewall-cmd --reload
# 확인
sudo firewall-cmd --list-ports
```
**예상 결과**: `80/tcp 443/tcp`
## 3단계: 프로젝트 디렉토리로 이동
```bash
cd /path/to/kamco-train-api
# 현재 위치 확인
pwd
# 예상: /home/username/kamco-train-api
```
## 4단계: 파일 구조 확인
배포 전 필수 파일이 모두 있는지 확인하세요:
```bash
# SSL 인증서 확인
ls -la nginx/ssl/
# 예상 결과:
# train-kamco.com.crt (인증서)
# train-kamco.com.key (개인 키)
# openssl.cnf (설정 파일)
```
```bash
# Docker Compose 파일 확인
ls -la docker-compose-prod.yml nginx/nginx.conf
# 예상: 두 파일 모두 존재
```
## 5단계: Docker 네트워크 생성 (최초 1회)
```bash
# kamco-cds 네트워크가 있는지 확인
docker network ls | grep kamco-cds
# 없으면 생성
docker network create kamco-cds
```
## 6단계: Docker Compose 배포
```bash
# 기존 컨테이너 중지 (있는 경우)
docker-compose -f docker-compose-prod.yml down
# 새로운 이미지 빌드 및 실행
docker-compose -f docker-compose-prod.yml up -d --build
# 컨테이너 상태 확인
docker-compose -f docker-compose-prod.yml ps
```
**예상 결과**:
```
NAME STATUS
kamco-cd-nginx Up (healthy)
kamco-cd-training-api Up (healthy)
```
## 7단계: 배포 확인
### 컨테이너 로그 확인
```bash
# Nginx 로그
docker logs kamco-cd-nginx --tail 50
# API 로그
docker logs kamco-cd-training-api --tail 50
# 실시간 로그 (Ctrl+C로 종료)
docker-compose -f docker-compose-prod.yml logs -f
```
### HTTP → HTTPS 리다이렉트 테스트
```bash
# HTTP 접속 시 HTTPS로 리다이렉트되는지 확인
curl -I http://api.train-kamco.com
curl -I http://train-kamco.com
# 예상 결과: 301 Moved Permanently
# Location: https://api.train-kamco.com/ 또는 https://train-kamco.com/
```
### HTTPS 헬스체크
```bash
# -k 플래그: 사설 인증서 경고 무시
curl -k https://api.train-kamco.com/monitor/health
curl -k https://train-kamco.com/monitor/health
# 예상 결과: {"status":"UP","components":{...}}
```
### 브라우저 테스트
브라우저에서 다음 URL에 접속:
- `https://api.train-kamco.com/monitor/health`
- `https://train-kamco.com/monitor/health`
**사설 인증서 경고**:
- "안전하지 않음" 경고가 표시되면 **"고급"** → **"계속 진행"** 클릭
## 8단계: SSL 인증서 확인 (선택사항)
```bash
# 인증서 정보 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | head -30
# 유효 기간 확인 (100년)
openssl x509 -in nginx/ssl/train-kamco.com.crt -noout -dates
# SAN (멀티 도메인) 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | grep -A1 "Subject Alternative Name"
# 예상 결과:
# X509v3 Subject Alternative Name:
# DNS:api.train-kamco.com, DNS:train-kamco.com
```
## 트러블슈팅
### 문제 1: "Connection refused"
**원인**: 컨테이너가 실행되지 않음
**해결**:
```bash
# 컨테이너 상태 확인
docker ps -a | grep kamco-cd
# 컨테이너 재시작
docker-compose -f docker-compose-prod.yml restart
# 로그 확인
docker logs kamco-cd-nginx
docker logs kamco-cd-training-api
```
### 문제 2: "502 Bad Gateway"
**원인**: Nginx는 실행 중이지만 API 컨테이너가 준비되지 않음
**해결**:
```bash
# API 컨테이너 상태 확인
docker logs kamco-cd-training-api
# API 헬스체크 (컨테이너 내부에서)
docker exec kamco-cd-nginx wget -qO- http://kamco-changedetection-api:8080/monitor/health
# API 컨테이너 재시작
docker-compose -f docker-compose-prod.yml restart kamco-changedetection-api
```
### 문제 3: "Name or service not known"
**원인**: /etc/hosts에 도메인이 설정되지 않음
**해결**:
```bash
# /etc/hosts 확인
cat /etc/hosts | grep train-kamco
# 없으면 추가
echo "127.0.0.1 api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
```
### 문제 4: 포트 80 또는 443이 이미 사용 중
**원인**: 다른 프로세스가 포트를 사용 중
**해결**:
```bash
# 포트 사용 확인
sudo lsof -i :80
sudo lsof -i :443
# 사용 중인 프로세스 종료 (예: httpd, nginx)
sudo systemctl stop httpd
sudo systemctl stop nginx
# Docker Compose 재시작
docker-compose -f docker-compose-prod.yml restart
```
### 문제 5: SELinux 권한 오류
**원인**: SELinux가 Docker 볼륨 마운트를 차단
**해결**:
```bash
# SELinux 상태 확인
getenforce
# Permissive 모드로 임시 변경 (재부팅 시 초기화됨)
sudo setenforce 0
# 영구 변경 (권장하지 않음)
sudo vi /etc/selinux/config
# SELINUX=permissive 또는 SELINUX=disabled로 변경
```
## 컨테이너 관리 명령어
### 시작/중지/재시작
```bash
# 시작
docker-compose -f docker-compose-prod.yml up -d
# 중지
docker-compose -f docker-compose-prod.yml down
# 재시작
docker-compose -f docker-compose-prod.yml restart
# 특정 서비스만 재시작
docker-compose -f docker-compose-prod.yml restart nginx
docker-compose -f docker-compose-prod.yml restart kamco-changedetection-api
```
### 로그 확인
```bash
# 전체 로그
docker-compose -f docker-compose-prod.yml logs
# 특정 서비스 로그
docker-compose -f docker-compose-prod.yml logs nginx
docker-compose -f docker-compose-prod.yml logs kamco-changedetection-api
# 실시간 로그
docker-compose -f docker-compose-prod.yml logs -f
# 마지막 N줄만 보기
docker logs kamco-cd-nginx --tail 100
```
### 컨테이너 상태 확인
```bash
# 실행 중인 컨테이너
docker-compose -f docker-compose-prod.yml ps
# 상세 정보
docker inspect kamco-cd-nginx
docker inspect kamco-cd-training-api
# 리소스 사용량
docker stats kamco-cd-nginx kamco-cd-training-api
```
### 컨테이너 내부 접속
```bash
# Nginx 컨테이너 내부 접속
docker exec -it kamco-cd-nginx sh
# API 컨테이너 내부 접속
docker exec -it kamco-cd-training-api sh
# 내부에서 빠져나오기
exit
```
## 업데이트 및 재배포
### 코드 업데이트 후 재배포
```bash
# 1. Git pull (코드 업데이트)
git pull origin develop
# 2. JAR 파일 빌드 (Jenkins에서 수행하는 경우 생략)
./gradlew clean build -x test
# 3. 컨테이너 재빌드 및 재시작
docker-compose -f docker-compose-prod.yml down
docker-compose -f docker-compose-prod.yml up -d --build
# 4. 로그 확인
docker-compose -f docker-compose-prod.yml logs -f
```
### 설정 파일만 변경한 경우
```bash
# nginx.conf 또는 docker-compose-prod.yml 변경 시
docker-compose -f docker-compose-prod.yml down
docker-compose -f docker-compose-prod.yml up -d
# 또는
docker-compose -f docker-compose-prod.yml restart nginx
```
## 모니터링
### 헬스체크 엔드포인트
```bash
# API 헬스체크
curl -k https://api.train-kamco.com/monitor/health
# 예상 결과:
# {
# "status": "UP",
# "components": {
# "db": {"status": "UP"},
# "diskSpace": {"status": "UP"}
# }
# }
```
### 시스템 리소스
```bash
# 디스크 사용량
df -h
# 메모리 사용량
free -h
# Docker 이미지 및 컨테이너 용량
docker system df
```
## 보안 권장 사항
1. **사설 인증서**: 현재 사설 인증서를 사용 중입니다. 프로덕션 환경에서는 **Let's Encrypt** 또는 **GlobalSign** 같은 공인 인증서 사용을 권장합니다.
2. **방화벽**: 필요한 포트(80, 443)만 개방하고, 불필요한 포트는 차단하세요.
3. **정기 업데이트**: Docker 이미지와 시스템 패키지를 정기적으로 업데이트하세요.
4. **로그 모니터링**: 정기적으로 로그를 확인하여 비정상적인 활동을 감지하세요.
5. **백업**: SSL 인증서 키 파일(`train-kamco.com.key`)과 데이터베이스를 정기적으로 백업하세요.
## 참고 문서
- **SSL 인증서 설정**: [nginx/SSL_SETUP.md](nginx/SSL_SETUP.md)
- **프로젝트 개요**: [README.md](README.md)
- **CLAUDE.md**: [CLAUDE.md](CLAUDE.md)
## 지원
문제가 발생하면 다음을 확인하세요:
1. 컨테이너 로그: `docker-compose -f docker-compose-prod.yml logs`
2. 컨테이너 상태: `docker-compose -f docker-compose-prod.yml ps`
3. /etc/hosts 설정: `cat /etc/hosts | grep train-kamco`
4. 방화벽 상태: `sudo firewall-cmd --list-ports`
---
**배포 완료!** 🎉
접속 URL:
- `https://api.train-kamco.com`
- `https://train-kamco.com`

443
DEPLOYMENT.md Normal file
View File

@@ -0,0 +1,443 @@
# KAMCO Train API - Production Deployment Guide
프로덕션 환경 배포 가이드
## 목차
- [사전 요구사항](#사전-요구사항)
- [초기 설정](#초기-설정)
- [배포 순서](#배포-순서)
- [개별 서비스 관리](#개별-서비스-관리)
- [롤백 절차](#롤백-절차)
- [모니터링 및 헬스체크](#모니터링-및-헬스체크)
- [트러블슈팅](#트러블슈팅)
---
## 사전 요구사항
### 시스템 요구사항
- Docker Engine 20.10+
- Docker Compose 2.0+
- 최소 메모리: 4GB
- 디스크 공간: 20GB 이상
### 네트워크 요구사항
- 도메인 설정:
- `train-kamco.com` → 서버 IP (Web UI)
- `api.train-kamco.com` → 서버 IP (API)
- 포트:
- 80 (HTTP)
- 443 (HTTPS)
- 8080 (API - internal)
- 3002 (Web - internal)
### 필수 파일
- SSL 인증서:
- `nginx/ssl/train-kamco.com.crt`
- `nginx/ssl/train-kamco.com.key`
- 환경 설정:
- `application-prod.yml` (API 설정)
- `.env` 파일 (IMAGE_TAG 등)
---
## 초기 설정
### 1. Docker 네트워크 생성
```bash
# kamco-cds 네트워크 생성 (최초 1회만)
docker network create kamco-cds
# 네트워크 확인
docker network ls | grep kamco-cds
```
### 2. SSL 인증서 배치
```bash
# 인증서 디렉토리 생성
mkdir -p nginx/ssl
# 인증서 파일 복사
cp /path/to/train-kamco.com.crt nginx/ssl/
cp /path/to/train-kamco.com.key nginx/ssl/
# 권한 설정
chmod 600 nginx/ssl/train-kamco.com.key
chmod 644 nginx/ssl/train-kamco.com.crt
```
### 3. 환경 변수 설정
```bash
# .env 파일 생성
cat > .env << EOF
IMAGE_TAG=latest
SPRING_PROFILES_ACTIVE=prod
TZ=Asia/Seoul
EOF
```
### 4. 볼륨 디렉토리 생성
```bash
# 데이터 디렉토리 생성
mkdir -p ./app/model_output
mkdir -p ./app/train_dataset
# 권한 설정
chmod -R 755 ./app
```
---
## 배포 순서
### 전체 스택 초기 배포
**중요**: 반드시 아래 순서대로 실행해야 합니다.
```bash
# 1. Nginx 시작
docker-compose -f docker-compose-nginx.yml up -d
# 2. Nginx 상태 확인
docker ps | grep kamco-train-nginx
# 3. API 서비스 시작
docker-compose -f docker-compose-prod.yml up -d
# 4. API 헬스체크 대기 (최대 40초)
sleep 40
curl -f http://localhost:8080/monitor/health
# 5. Web 서비스 시작 (kamco-train-web 프로젝트에서)
# cd ../kamco-train-web
# docker-compose -f docker-compose-prod.yml up -d
# 6. 전체 상태 확인
docker ps -a | grep kamco
```
### 배포 검증
```bash
# 서비스별 헬스체크
curl -f http://localhost:8080/monitor/health # API (internal)
curl -kf https://api.train-kamco.com/monitor/health # API (external)
curl -kf https://train-kamco.com # Web (external)
# Nginx 설정 검증
docker exec kamco-train-nginx nginx -t
# 로그 확인
docker-compose -f docker-compose-nginx.yml logs --tail=50
docker-compose -f docker-compose-prod.yml logs --tail=50
```
---
## 개별 서비스 관리
### Nginx 관리
```bash
# 설정 변경 후 리로드 (다운타임 없음)
docker exec kamco-train-nginx nginx -s reload
# 재시작
docker-compose -f docker-compose-nginx.yml restart
# 로그 확인
docker-compose -f docker-compose-nginx.yml logs -f
# 컨테이너 내부 접근
docker exec -it kamco-train-nginx sh
```
### API 서비스 관리
```bash
# 재배포 (새 이미지 빌드)
docker-compose -f docker-compose-prod.yml up -d --build
# 재시작 (이미지 변경 없이)
docker-compose -f docker-compose-prod.yml restart
# 중지
docker-compose -f docker-compose-prod.yml down
# 로그 확인
docker-compose -f docker-compose-prod.yml logs -f kamco-train-api
# 컨테이너 내부 접근
docker exec -it kamco-train-api bash
```
### Web 서비스 관리
```bash
# kamco-train-web 프로젝트에서 실행
cd ../kamco-train-web
# 재배포
docker-compose -f docker-compose-prod.yml up -d --build
# 재시작
docker-compose -f docker-compose-prod.yml restart
# 로그 확인
docker-compose -f docker-compose-prod.yml logs -f
```
---
## 롤백 절차
### 이미지 기반 롤백
```bash
# 1. 사용 가능한 이미지 확인
docker images | grep kamco-train-api
# 2. 이전 이미지 태그로 롤백
export IMAGE_TAG=previous-commit-hash
docker-compose -f docker-compose-prod.yml up -d
# 3. 헬스체크 확인
curl -f http://localhost:8080/monitor/health
```
### Git 기반 롤백
```bash
# 1. 이전 커밋으로 체크아웃
git log --oneline -10
git checkout <previous-commit-hash>
# 2. 재빌드 및 배포
docker-compose -f docker-compose-prod.yml up -d --build
# 3. 검증 후 브랜치 업데이트 (필요시)
# git checkout develop
# git reset --hard <previous-commit-hash>
# git push -f origin develop
```
---
## 모니터링 및 헬스체크
### 헬스체크 엔드포인트
```bash
# API 헬스체크
curl http://localhost:8080/monitor/health
curl http://localhost:8080/monitor/health/readiness
curl http://localhost:8080/monitor/health/liveness
# Nginx를 통한 헬스체크
curl -k https://api.train-kamco.com/monitor/health
```
### 컨테이너 상태 모니터링
```bash
# 모든 컨테이너 상태
docker ps -a | grep kamco
# 리소스 사용량 실시간 모니터링
docker stats kamco-train-nginx kamco-train-api
# 헬스체크 상태
docker inspect kamco-train-api | grep -A 10 Health
```
### 로그 모니터링
```bash
# 실시간 로그 (모든 서비스)
docker-compose -f docker-compose-nginx.yml logs -f &
docker-compose -f docker-compose-prod.yml logs -f &
# 에러 로그만 필터링
docker-compose -f docker-compose-prod.yml logs | grep -i error
# 최근 100줄
docker-compose -f docker-compose-prod.yml logs --tail=100
```
---
## 트러블슈팅
### 1. Nginx 502 Bad Gateway
**원인**: API 서비스가 준비되지 않음
```bash
# API 컨테이너 상태 확인
docker ps | grep kamco-train-api
# API 로그 확인
docker logs kamco-train-api --tail=100
# 네트워크 연결 확인
docker network inspect kamco-cds | grep kamco-train-api
# 해결: API 재시작
docker-compose -f docker-compose-prod.yml restart
```
### 2. SSL 인증서 오류
**원인**: 인증서 파일 누락 또는 권한 문제
```bash
# 인증서 파일 확인
ls -la nginx/ssl/
# Nginx 설정 검증
docker exec kamco-train-nginx nginx -t
# 해결: 인증서 재배치 및 권한 설정
chmod 600 nginx/ssl/train-kamco.com.key
chmod 644 nginx/ssl/train-kamco.com.crt
docker-compose -f docker-compose-nginx.yml restart
```
### 3. 컨테이너 시작 실패
**원인**: 포트 충돌, 볼륨 권한, 메모리 부족
```bash
# 포트 사용 확인
netstat -tulpn | grep -E '80|443|8080'
# 볼륨 권한 확인
ls -la ./app/
# 메모리 사용량 확인
free -h
docker system df
# 해결: 충돌 프로세스 종료 또는 포트 변경
# 메모리 정리
docker system prune -a
```
### 4. 네트워크 연결 문제
**원인**: kamco-cds 네트워크 미생성 또는 컨테이너 미연결
```bash
# 네트워크 확인
docker network ls | grep kamco-cds
# 네트워크 상세 정보
docker network inspect kamco-cds
# 해결: 네트워크 생성
docker network create kamco-cds
# 컨테이너를 네트워크에 연결
docker network connect kamco-cds kamco-train-api
docker network connect kamco-cds kamco-train-nginx
```
### 5. 데이터베이스 연결 실패
**원인**: application-prod.yml의 DB 설정 오류
```bash
# API 로그에서 DB 연결 에러 확인
docker logs kamco-train-api | grep -i "connection"
# DB 호스트 연결 테스트
docker exec kamco-train-api ping <db-host>
# 해결: application-prod.yml 수정 후 재배포
vim src/main/resources/application-prod.yml
docker-compose -f docker-compose-prod.yml up -d --build
```
---
## Jenkins CI/CD 연동
현재 프로젝트는 Jenkins 파이프라인으로 자동 배포됩니다.
### Jenkinsfile-dev 주요 단계
1. **Checkout**: develop 브랜치 체크아웃
2. **Build**: `./gradlew clean build -x test`
3. **Extract Commit**: IMAGE_TAG로 사용
4. **Transfer**: 배포 서버로 파일 전송
5. **Deploy**: Docker Compose 빌드 및 배포
6. **Health Check**: 30초 대기 후 헬스체크
7. **Cleanup**: 오래된 이미지 정리 (최신 5개 유지)
### 배포 서버 정보
- **서버**: 192.168.2.109
- **사용자**: space
- **배포 경로**: `/home/space/kamco-training-api`
- **헬스체크**: `http://localhost:7200/monitor/health`
---
## 백업 및 복구
### 데이터 백업
```bash
# 볼륨 데이터 백업
tar -czf backup-$(date +%Y%m%d).tar.gz ./app/model_output ./app/train_dataset
# 설정 파일 백업
tar -czf config-backup-$(date +%Y%m%d).tar.gz \
nginx/nginx.conf \
nginx/ssl/ \
src/main/resources/application-prod.yml
```
### 이미지 백업
```bash
# 현재 이미지 저장
docker save kamco-train-api:latest | gzip > kamco-train-api-latest.tar.gz
# 이미지 복구
gunzip -c kamco-train-api-latest.tar.gz | docker load
```
---
## 보안 체크리스트
- [ ] SSL 인증서 유효기간 확인
- [ ] nginx/ssl/ 디렉토리 권한 600
- [ ] application-prod.yml에 DB 비밀번호 암호화
- [ ] JWT secret key 환경변수로 관리
- [ ] Docker 소켓 권한 최소화
- [ ] 방화벽 규칙 설정 (80, 443만 외부 노출)
- [ ] 정기 보안 업데이트 (docker images)
---
## 참고 문서
- [CLAUDE.md](./CLAUDE.md) - 프로젝트 개발 가이드
- [README.md](./README.md) - 프로젝트 개요
- [Jenkinsfile-dev](./Jenkinsfile-dev) - CI/CD 파이프라인
- [nginx/nginx.conf](./nginx/nginx.conf) - Nginx 설정
---
## 연락처
문제 발생 시:
1. 로그 수집: `docker-compose logs` 출력
2. 시스템 정보: `docker ps -a`, `docker network ls`
3. 이슈 리포트: GitHub Issues 또는 내부 이슈 트래커

20
Dockerfile Normal file
View File

@@ -0,0 +1,20 @@
# Stage 1: Build stage (gradle build는 Jenkins에서 이미 수행)
FROM eclipse-temurin:21-jre-jammy
# docker CLI 설치 (컨테이너에서 호스트 Docker 제어용) 260212 추가
RUN apt-get update && \
apt-get install -y --no-install-recommends docker.io ca-certificates && \
rm -rf /var/lib/apt/lists/*
# 작업 디렉토리 설정
WORKDIR /app
# JAR 파일 복사 (Jenkins에서 빌드된 ROOT.jar)
COPY build/libs/ROOT.jar app.jar
# 포트 노출
EXPOSE 8080
# 애플리케이션 실행
# dev 프로파일로 실행
ENTRYPOINT ["java", "-jar", "-Dspring.profiles.active=prod", "app.jar"]

View File

@@ -1,6 +1,11 @@
# Stage 1: Build stage (gradle build는 Jenkins에서 이미 수행)
FROM eclipse-temurin:21-jre-jammy
# docker CLI 설치 (컨테이너에서 호스트 Docker 제어용) 260212 추가
RUN apt-get update && \
apt-get install -y --no-install-recommends docker.io ca-certificates && \
rm -rf /var/lib/apt/lists/*
# 작업 디렉토리 설정
WORKDIR /app

View File

@@ -3,6 +3,7 @@ plugins {
id 'org.springframework.boot' version '3.5.7'
id 'io.spring.dependency-management' version '1.1.7'
id 'com.diffplug.spotless' version '6.25.0'
id 'idea'
}
group = 'com.kamco.cd'
@@ -21,11 +22,23 @@ configurations {
}
}
// QueryDSL 생성된 소스 디렉토리 정의
def generatedSourcesDir = file("$buildDir/generated/sources/annotationProcessor/java/main")
repositories {
mavenCentral()
maven { url "https://repo.osgeo.org/repository/release/" }
}
// Gradle이 생성된 소스를 컴파일 경로에 포함하도록 설정
sourceSets {
main {
java {
srcDirs += generatedSourcesDir
}
}
}
dependencies {
implementation 'org.springframework.boot:spring-boot-starter-data-jpa'
implementation 'org.springframework.boot:spring-boot-starter-web'
@@ -83,6 +96,23 @@ dependencies {
implementation 'io.hypersistence:hypersistence-utils-hibernate-63:3.7.0'
implementation 'org.reflections:reflections:0.10.2'
implementation 'com.jcraft:jsch:0.1.55'
implementation 'org.apache.commons:commons-csv:1.10.0'
}
// IntelliJ가 생성된 소스를 인식하도록 설정
idea {
module {
// 소스 디렉토리로 인식
sourceDirs += generatedSourcesDir
// Generated Sources Root로 마킹 (IntelliJ에서 특별 처리)
generatedSourceDirs += generatedSourcesDir
// 소스 및 Javadoc 다운로드
downloadJavadoc = true
downloadSources = true
}
}
configurations.configureEach {
@@ -93,6 +123,21 @@ tasks.named('test') {
useJUnitPlatform()
}
// 컴파일 전 생성된 소스 디렉토리 생성 보장
tasks.named('compileJava') {
doFirst {
generatedSourcesDir.mkdirs()
}
}
// 생성된 소스 정리 태스크
tasks.register('cleanGeneratedSources', Delete) {
delete generatedSourcesDir
}
tasks.named('clean') {
dependsOn 'cleanGeneratedSources'
}
bootJar {
archiveFileName = 'ROOT.jar'

View File

@@ -5,6 +5,13 @@ services:
dockerfile: Dockerfile-dev
image: kamco-cd-training-api:${IMAGE_TAG:-latest}
container_name: kamco-cd-training-api
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
ports:
- "7200:8080"
environment:
@@ -14,6 +21,8 @@ services:
- /mnt/nfs_share/images:/app/original-images
- /mnt/nfs_share/model_output:/app/model-outputs
- /mnt/nfs_share/train_dataset:/app/train-dataset
- /home/kcomu/data:/home/kcomu/data
- /var/run/docker.sock:/var/run/docker.sock
networks:
- kamco-cds
restart: unless-stopped

28
docker-compose-nginx.yml Normal file
View File

@@ -0,0 +1,28 @@
services:
nginx:
image: nginx:alpine
container_name: kamco-train-nginx
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- ./nginx/ssl:/etc/nginx/ssl:ro
- nginx-logs:/var/log/nginx
networks:
- kamco-cds
restart: unless-stopped
healthcheck:
test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "--no-check-certificate", "https://localhost/monitor/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
kamco-cds:
external: true
volumes:
nginx-logs:
driver: local

36
docker-compose-prod.yml Normal file
View File

@@ -0,0 +1,36 @@
services:
kamco-train-api:
build:
context: .
dockerfile: Dockerfile
image: kamco-train-api:${IMAGE_TAG:-latest}
container_name: kamco-train-api
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
expose:
- "8080"
environment:
- SPRING_PROFILES_ACTIVE=prod
- TZ=Asia/Seoul
volumes:
- ./app/model_output:/app/model-outputs
- ./app/train_dataset:/app/train-dataset
- /var/run/docker.sock:/var/run/docker.sock
networks:
- kamco-cds
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/monitor/health"]
interval: 10s
timeout: 5s
retries: 5
start_period: 40s
networks:
kamco-cds:
external: true

414
nginx/SSL_SETUP.md Normal file
View File

@@ -0,0 +1,414 @@
# SSL 사설 인증서 설정 가이드 (RedHat 9.6)
## 개요
이 문서는 RedHat 9.6 환경에서 `https://api.train-kamco.com``https://train-kamco.com` 도메인을 위한 100년 유효한 사설 SSL 인증서 설정 방법을 설명합니다.
## 디렉토리 구조
```
nginx/
├── nginx.conf # Nginx 설정 파일
├── ssl/
│ ├── openssl.cnf # OpenSSL 설정 파일 (SAN 포함)
│ ├── train-kamco.com.crt # 사설 SSL 인증서 (멀티 도메인)
│ └── train-kamco.com.key # 개인 키 (비공개)
└── SSL_SETUP.md # 이 문서
```
## 인증서 정보
- **도메인**: api.train-kamco.com, train-kamco.com (멀티 도메인)
- **유효 기간**: 100년 (36500일)
- **알고리즘**: RSA 4096-bit
- **CN (Common Name)**: api.train-kamco.com
- **SAN (Subject Alternative Names)**: api.train-kamco.com, train-kamco.com
## 사설 SSL 인증서 생성 (이미 생성됨)
인증서가 이미 생성되어 있습니다. 재생성이 필요한 경우 아래 단계를 따르세요.
### 1. OpenSSL 설정 파일 생성
```bash
cd /path/to/kamco-train-api
cat > nginx/ssl/openssl.cnf << 'EOF'
[req]
default_bits = 4096
prompt = no
default_md = sha256
distinguished_name = dn
req_extensions = v3_req
[dn]
C=KR
ST=Seoul
L=Seoul
O=KAMCO
OU=Training
CN=api.train-kamco.com
[v3_req]
subjectAltName = @alt_names
[alt_names]
DNS.1 = api.train-kamco.com
DNS.2 = train-kamco.com
EOF
```
### 2. SSL 인증서 및 개인 키 생성
```bash
# nginx/ssl 디렉토리 생성 (없는 경우)
mkdir -p nginx/ssl
chmod 700 nginx/ssl
# 인증서 및 개인 키 생성 (100년 유효)
openssl req -new -x509 -newkey rsa:4096 -sha256 -nodes \
-keyout nginx/ssl/train-kamco.com.key \
-out nginx/ssl/train-kamco.com.crt \
-days 36500 \
-config nginx/ssl/openssl.cnf \
-extensions v3_req
# 파일 권한 설정
chmod 600 nginx/ssl/train-kamco.com.key
chmod 644 nginx/ssl/train-kamco.com.crt
```
### 3. 인증서 검증
```bash
# 인증서 정보 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout
# 유효 기간 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | grep -A2 "Validity"
# SAN (멀티 도메인) 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | grep -A1 "Subject Alternative Name"
# CN 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -noout -subject
# 개인 키 확인
openssl rsa -in nginx/ssl/train-kamco.com.key -check
```
**예상 결과**:
```
X509v3 Subject Alternative Name:
DNS:api.train-kamco.com, DNS:train-kamco.com
Validity
Not Before: Mar 2 23:39:XX 2026 GMT
Not After : Feb 6 23:39:XX 2126 GMT
```
## /etc/hosts 설정 (RedHat 9.6)
### 1. hosts 파일에 도메인 추가
```bash
# root 권한으로 실행
echo "127.0.0.1 api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
# 확인
cat /etc/hosts | grep train-kamco
```
**예상 결과**:
```
127.0.0.1 api.train-kamco.com train-kamco.com
```
### 2. 도메인 확인
```bash
# ping 테스트
ping -c 2 api.train-kamco.com
ping -c 2 train-kamco.com
```
## Docker Compose 배포
### 1. 기존 컨테이너 중지 (실행 중인 경우)
```bash
cd /path/to/kamco-train-api
docker-compose -f docker-compose-prod.yml down
```
### 2. Production 환경 실행
```bash
# IMAGE_TAG 환경 변수 설정 (선택사항)
export IMAGE_TAG=latest
# Docker Compose 실행
docker-compose -f docker-compose-prod.yml up -d
# 컨테이너 상태 확인
docker-compose -f docker-compose-prod.yml ps
```
### 3. 로그 확인
```bash
# Nginx 로그
docker logs kamco-cd-nginx
# API 로그
docker logs kamco-cd-training-api
# 실시간 로그 확인
docker-compose -f docker-compose-prod.yml logs -f
```
## HTTPS 접속 테스트
### 1. HTTP → HTTPS 리다이렉트 테스트
```bash
# api.train-kamco.com
curl -I http://api.train-kamco.com
# train-kamco.com
curl -I http://train-kamco.com
# 예상 결과: 301 Moved Permanently
# Location: https://api.train-kamco.com/ 또는 https://train-kamco.com/
```
### 2. HTTPS 헬스체크 (-k: 사설 인증서 경고 무시)
```bash
# api.train-kamco.com
curl -k https://api.train-kamco.com/monitor/health
# train-kamco.com
curl -k https://train-kamco.com/monitor/health
# 예상 결과: {"status":"UP","components":{...}}
```
### 3. SSL 인증서 확인
```bash
# api.train-kamco.com
openssl s_client -connect api.train-kamco.com:443 -showcerts
# train-kamco.com
openssl s_client -connect train-kamco.com:443 -showcerts
# CN 및 SAN 확인
```
### 4. 브라우저 테스트
브라우저에서 다음 URL에 접속:
- `https://api.train-kamco.com/monitor/health`
- `https://train-kamco.com/monitor/health`
**주의**: 사설 인증서이므로 "안전하지 않음" 경고가 표시됩니다.
- **Chrome/Edge**: "고급" → "계속 진행" 클릭
- **Firefox**: "위험 감수 및 계속" 클릭
## 브라우저에서 사설 인증서 신뢰 설정 (선택사항)
사설 인증서를 브라우저에 등록하면 경고 없이 접속 가능합니다.
### Chrome/Edge (RedHat Desktop)
1. `chrome://settings/certificates` 접속
2. **Authorities** 탭 선택
3. **Import** 클릭
4. `nginx/ssl/train-kamco.com.crt` 선택
5. **Trust this certificate for identifying websites** 체크
6. **OK** 클릭
### Firefox
1. `about:preferences#privacy` 접속
2. **Certificates****View Certificates** 클릭
3. **Authorities** 탭 선택
4. **Import** 클릭
5. `nginx/ssl/train-kamco.com.crt` 선택
6. **Trust this CA to identify websites** 체크
7. **OK** 클릭
## 방화벽 설정 (RedHat 9.6)
### 1. 방화벽 상태 확인
```bash
sudo firewall-cmd --state
```
### 2. HTTP (80) 및 HTTPS (443) 포트 개방
```bash
# HTTP 포트 개방
sudo firewall-cmd --permanent --add-port=80/tcp
# HTTPS 포트 개방
sudo firewall-cmd --permanent --add-port=443/tcp
# 방화벽 재로드
sudo firewall-cmd --reload
# 확인
sudo firewall-cmd --list-ports
```
**예상 결과**:
```
80/tcp 443/tcp
```
## 보안 체크리스트
- [x] `train-kamco.com.key` 파일 권한이 600으로 설정됨
- [x] ssl 디렉토리가 버전 관리에서 제외됨 (.gitignore 확인)
- [x] 두 도메인(api.train-kamco.com, train-kamco.com) 모두 SAN에 포함됨
- [ ] 방화벽에서 80, 443 포트 개방 확인
- [x] HSTS 헤더 활성화 확인
- [x] TLS 1.2 이상만 허용 확인
- [ ] /etc/hosts에 도메인 매핑 확인
## 트러블슈팅
### 인증서 관련 오류
**"certificate verify failed"**
```bash
# 해결: -k 플래그 사용 (사설 인증서 경고 무시)
curl -k https://api.train-kamco.com/monitor/health
```
**"NET::ERR_CERT_AUTHORITY_INVALID" (브라우저)**
- 정상 동작: 사설 인증서이므로 브라우저 경고는 예상된 동작입니다
- 해결: 브라우저에 인증서 등록 (위 "브라우저에서 사설 인증서 신뢰 설정" 참조)
### 연결 오류
**"Connection refused"**
```bash
# 컨테이너 상태 확인
docker ps | grep kamco-cd
# 포트 바인딩 확인
docker port kamco-cd-nginx
# 예상 결과:
# 80/tcp -> 0.0.0.0:80
# 443/tcp -> 0.0.0.0:443
```
**"502 Bad Gateway"**
```bash
# API 컨테이너 상태 확인
docker logs kamco-cd-training-api
# nginx → API 연결 확인
docker exec kamco-cd-nginx wget -qO- http://kamco-changedetection-api:8080/monitor/health
```
**"Name or service not known" (도메인 해석 실패)**
```bash
# /etc/hosts 확인
cat /etc/hosts | grep train-kamco
# 없으면 추가
echo "127.0.0.1 api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
```
### 방화벽 관련 오류
**외부에서 접속 안 됨**
```bash
# 방화벽 확인
sudo firewall-cmd --list-ports
# 포트 개방
sudo firewall-cmd --permanent --add-port=80/tcp
sudo firewall-cmd --permanent --add-port=443/tcp
sudo firewall-cmd --reload
```
## 인증서 만료 및 갱신
### 만료 확인
```bash
# 인증서 만료일 확인
openssl x509 -in nginx/ssl/train-kamco.com.crt -noout -enddate
# 예상 결과: notAfter=Feb 6 23:39:XX 2126 GMT (100년 후)
```
### 갱신 방법 (필요시)
100년 유효한 인증서이므로 갱신이 필요하지 않지만, 재생성이 필요한 경우:
```bash
# 기존 인증서 백업
cp nginx/ssl/train-kamco.com.crt nginx/ssl/train-kamco.com.crt.bak
cp nginx/ssl/train-kamco.com.key nginx/ssl/train-kamco.com.key.bak
# 위의 "사설 SSL 인증서 생성" 단계 재실행
# nginx 재시작
docker-compose -f docker-compose-prod.yml restart nginx
```
## 주의사항
1. **사설 인증서 경고**: 브라우저에서 "안전하지 않음" 경고가 표시됩니다. 프로덕션 환경에서는 **공인 인증서(Let's Encrypt, GlobalSign 등) 사용을 권장**합니다.
2. **포트 80/443**: Docker가 자동으로 처리하지만, 이미 사용 중인 프로세스가 있으면 충돌할 수 있습니다.
```bash
# 포트 사용 확인
sudo lsof -i :80
sudo lsof -i :443
```
3. **대용량 파일 업로드**: `client_max_body_size`를 10GB로 설정했으므로, 서버 메모리 및 디스크 용량을 충분히 확보하세요.
4. **인증서 백업**: `train-kamco.com.key` 파일은 매우 중요합니다. 안전한 곳에 백업하세요.
5. **SELinux**: RedHat 9.6에서 SELinux가 활성화된 경우, Docker 볼륨 마운트 권한 문제가 발생할 수 있습니다.
```bash
# SELinux 상태 확인
getenforce
# 필요시 permissive 모드로 변경
sudo setenforce 0
```
### 2단계: 시스템 신뢰 폴더로 복사
터미널을 열고 관리자 권한(sudo)을 사용해 인증서를 시스템 폴더로 복사합니다.
```
sudo cp mycert.crt /etc/pki/ca-trust/source/anchors/
```
### 3단계: 시스템 신뢰 목록 업데이트
아래 명령어를 입력해 추가한 인증서를 시스템에 갱신시킵니다.
```
sudo update-ca-trust
```
## 참고 자료
- [OpenSSL Documentation](https://www.openssl.org/docs/)
- [Nginx SSL Configuration](https://nginx.org/en/docs/http/configuring_https_servers.html)
- [Docker Compose Documentation](https://docs.docker.com/compose/)
- [Let's Encrypt (공인 인증서)](https://letsencrypt.org/)

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nginx/nginx.conf Normal file
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@@ -0,0 +1,179 @@
events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
# 로그 설정
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log /var/log/nginx/access.log main;
error_log /var/log/nginx/error.log warn;
sendfile on;
keepalive_timeout 65;
# 업로드 파일 크기 제한 (10GB)
client_max_body_size 10G;
# Upstream 설정
upstream api_backend {
server kamco-train-api:8080;
}
upstream web_backend {
server kamco-train-web:3002;
}
# HTTP → HTTPS 리다이렉트 서버
server {
listen 80;
server_name api.train-kamco.com train-kamco.com;
# 모든 HTTP 요청을 HTTPS로 리다이렉트
return 301 https://$server_name$request_uri;
}
# HTTPS 서버 설정
server {
listen 443 ssl http2;
server_name api.train-kamco.com;
# SSL 인증서 설정 (사설 인증서 - 멀티 도메인)
ssl_certificate /etc/nginx/ssl/train-kamco.com.crt;
ssl_certificate_key /etc/nginx/ssl/train-kamco.com.key;
# SSL 프로토콜 및 암호화 설정
ssl_protocols TLSv1.2 TLSv1.3;
ssl_ciphers 'ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-CHACHA20-POLY1305:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES256-GCM-SHA384';
ssl_prefer_server_ciphers off;
# SSL 세션 캐시
ssl_session_cache shared:SSL:10m;
ssl_session_timeout 10m;
# HSTS (HTTP Strict Transport Security)
add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
# 보안 헤더
add_header X-Frame-Options "SAMEORIGIN" always;
add_header X-Content-Type-Options "nosniff" always;
add_header X-XSS-Protection "1; mode=block" always;
# 프록시 설정
location / {
proxy_pass http://api_backend;
proxy_http_version 1.1;
# 프록시 헤더 설정
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $server_name;
# 인증 헤더 및 쿠키 전달 (JWT 토큰 전달 보장)
proxy_pass_request_headers on;
proxy_set_header Cookie $http_cookie;
proxy_set_header Authorization $http_authorization;
# 타임아웃 설정 (대용량 파일 업로드 지원)
proxy_connect_timeout 300s;
proxy_send_timeout 300s;
proxy_read_timeout 300s;
# 버퍼 설정
proxy_buffering on;
proxy_buffer_size 4k;
proxy_buffers 8 4k;
proxy_busy_buffers_size 8k;
}
# 헬스체크 엔드포인트
location /monitor/health {
proxy_pass http://api_backend/monitor/health;
access_log off;
}
}
# HTTPS 서버 설정 - Next.js Web Application
server {
listen 443 ssl http2;
server_name train-kamco.com;
# SSL 인증서 설정 (사설 인증서 - 멀티 도메인)
ssl_certificate /etc/nginx/ssl/train-kamco.com.crt;
ssl_certificate_key /etc/nginx/ssl/train-kamco.com.key;
# SSL 프로토콜 및 암호화 설정
ssl_protocols TLSv1.2 TLSv1.3;
ssl_ciphers 'ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-CHACHA20-POLY1305:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES256-GCM-SHA384';
ssl_prefer_server_ciphers off;
# SSL 세션 캐시
ssl_session_cache shared:SSL:10m;
ssl_session_timeout 10m;
# HSTS (HTTP Strict Transport Security)
add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
# 보안 헤더
add_header X-Frame-Options "SAMEORIGIN" always;
add_header X-Content-Type-Options "nosniff" always;
add_header X-XSS-Protection "1; mode=block" always;
# API 프록시 설정 (Web에서 API 호출 시)
location /api/ {
proxy_pass http://api_backend/api/;
proxy_http_version 1.1;
# 프록시 헤더 설정
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $server_name;
# 인증 헤더 및 쿠키 전달
proxy_pass_request_headers on;
proxy_set_header Cookie $http_cookie;
# 타임아웃 설정
proxy_connect_timeout 300s;
proxy_send_timeout 300s;
proxy_read_timeout 300s;
}
# 프록시 설정
location / {
proxy_pass http://web_backend;
proxy_http_version 1.1;
# 프록시 헤더 설정
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $server_name;
# Next.js WebSocket 지원을 위한 Upgrade 헤더
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
# 타임아웃 설정
proxy_connect_timeout 600s;
proxy_send_timeout 600s;
proxy_read_timeout 600s;
# 버퍼 설정
proxy_buffering on;
proxy_buffer_size 4k;
proxy_buffers 8 4k;
proxy_busy_buffers_size 8k;
}
}
}

View File

@@ -23,7 +23,8 @@ public class JwtAuthenticationFilter extends OncePerRequestFilter {
private final UserDetailsService userDetailsService;
private static final AntPathMatcher PATH_MATCHER = new AntPathMatcher();
private static final String[] EXCLUDE_PATHS = {
"/api/auth/signin", "/api/auth/refresh", "/api/auth/logout", "/api/members/*/password"
// "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout", "/api/members/*/password"
"/api/auth/signin", "/api/auth/refresh", "/api/auth/logout"
};
@Override

View File

@@ -20,7 +20,7 @@ import org.springframework.web.bind.annotation.*;
@Tag(name = "공통코드 관리", description = "공통코드 관리 API")
@RestController
@RequiredArgsConstructor
@RequestMapping("/api/code")
@RequestMapping("/api/common-code")
public class CommonCodeApiController {
private final CommonCodeService commonCodeService;

View File

@@ -0,0 +1,48 @@
package com.kamco.cd.training.common.download;
import com.kamco.cd.training.common.download.dto.DownloadSpec;
import com.kamco.cd.training.common.utils.UserUtil;
import java.io.IOException;
import java.io.InputStream;
import java.nio.file.Files;
import lombok.RequiredArgsConstructor;
import org.springframework.http.HttpHeaders;
import org.springframework.http.MediaType;
import org.springframework.http.ResponseEntity;
import org.springframework.stereotype.Service;
import org.springframework.web.servlet.mvc.method.annotation.StreamingResponseBody;
@Service
@RequiredArgsConstructor
public class DownloadExecutor {
private final UserUtil userUtil;
public ResponseEntity<StreamingResponseBody> stream(DownloadSpec spec) throws IOException {
if (!Files.isReadable(spec.filePath())) {
return ResponseEntity.notFound().build();
}
StreamingResponseBody body =
os -> {
try (InputStream in = Files.newInputStream(spec.filePath())) {
in.transferTo(os);
os.flush();
} catch (Exception e) {
// 고용량은 중간 끊김 흔하니까 throw 금지
}
};
String fileName =
spec.downloadName() != null
? spec.downloadName()
: spec.filePath().getFileName().toString();
return ResponseEntity.ok()
.contentType(
spec.contentType() != null ? spec.contentType() : MediaType.APPLICATION_OCTET_STREAM)
.header(HttpHeaders.CONTENT_DISPOSITION, "attachment; filename=\"" + fileName + "\"")
.body(body);
}
}

View File

@@ -0,0 +1,19 @@
package com.kamco.cd.training.common.download;
import org.springframework.util.AntPathMatcher;
public final class DownloadPaths {
private DownloadPaths() {}
public static final String[] PATTERNS = {
"/api/inference/download/**", "/api/training-data/stage/download/**"
};
public static boolean matches(String uri) {
AntPathMatcher m = new AntPathMatcher();
for (String p : PATTERNS) {
if (m.match(p, uri)) return true;
}
return false;
}
}

View File

@@ -0,0 +1,81 @@
package com.kamco.cd.training.common.download;
import jakarta.servlet.http.HttpServletRequest;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import org.springframework.core.io.FileSystemResource;
import org.springframework.core.io.Resource;
import org.springframework.core.io.support.ResourceRegion;
import org.springframework.http.HttpHeaders;
import org.springframework.http.HttpRange;
import org.springframework.http.MediaType;
import org.springframework.http.ResponseEntity;
import org.springframework.stereotype.Component;
@Component
public class RangeDownloadResponder {
public ResponseEntity<?> buildZipResponse(
Path filePath, String downloadFileName, HttpServletRequest request) throws IOException {
if (!Files.isRegularFile(filePath)) {
return ResponseEntity.notFound().build();
}
long totalSize = Files.size(filePath);
Resource resource = new FileSystemResource(filePath);
String disposition = "attachment; filename=\"" + downloadFileName + "\"";
String rangeHeader = request.getHeader(HttpHeaders.RANGE);
// 🔥 공통 헤더 (여기 고정)
ResponseEntity.BodyBuilder base =
ResponseEntity.ok()
.contentType(MediaType.APPLICATION_OCTET_STREAM)
.header(HttpHeaders.CONTENT_DISPOSITION, disposition)
.header(HttpHeaders.ACCEPT_RANGES, "bytes")
.header("Access-Control-Expose-Headers", "Content-Disposition")
.header("X-Accel-Buffering", "no");
if (rangeHeader == null || rangeHeader.isBlank()) {
return base.contentLength(totalSize).body(resource);
}
List<HttpRange> ranges;
try {
ranges = HttpRange.parseRanges(rangeHeader);
} catch (IllegalArgumentException ex) {
return ResponseEntity.status(416)
.header(HttpHeaders.CONTENT_RANGE, "bytes */" + totalSize)
.header("X-Accel-Buffering", "no")
.build();
}
HttpRange range = ranges.get(0);
long start = range.getRangeStart(totalSize);
long end = range.getRangeEnd(totalSize);
if (start >= totalSize) {
return ResponseEntity.status(416)
.header(HttpHeaders.CONTENT_RANGE, "bytes */" + totalSize)
.header("X-Accel-Buffering", "no")
.build();
}
long regionLength = end - start + 1;
ResourceRegion region = new ResourceRegion(resource, start, regionLength);
return ResponseEntity.status(206)
.contentType(MediaType.APPLICATION_OCTET_STREAM)
.header(HttpHeaders.CONTENT_DISPOSITION, disposition)
.header(HttpHeaders.ACCEPT_RANGES, "bytes")
.header("Access-Control-Expose-Headers", "Content-Disposition")
.header("X-Accel-Buffering", "no")
.header(HttpHeaders.CONTENT_RANGE, "bytes " + start + "-" + end + "/" + totalSize)
.contentLength(regionLength)
.body(region);
}
}

View File

@@ -0,0 +1,12 @@
package com.kamco.cd.training.common.download.dto;
import java.nio.file.Path;
import java.util.UUID;
import org.springframework.http.MediaType;
public record DownloadSpec(
UUID uuid, // 다운로드 식별(로그/정책용)
Path filePath, // 실제 파일 경로
String downloadName, // 사용자에게 보일 파일명
MediaType contentType // 보통 OCTET_STREAM
) {}

View File

@@ -0,0 +1,160 @@
package com.kamco.cd.training.common.dto;
import com.kamco.cd.training.common.enums.ModelType;
import io.swagger.v3.oas.annotations.media.Schema;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
@Getter
@Setter
@AllArgsConstructor
@NoArgsConstructor
public class HyperParam {
@Schema(description = "모델", example = "G1")
private ModelType model; // G1, G2, G3
// -------------------------
// Important
// -------------------------
@Schema(description = "백본 네트워크", example = "large")
private String backbone; // backbone
@Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
private String inputSize; // input_size
@Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
private String cropSize; // crop_size
@Schema(description = "배치 크기(Per GPU)", example = "16")
private Integer batchSize; // batch_size
// -------------------------
// Data
// -------------------------
@Schema(description = "Train dataloader workers", example = "16")
private Integer trainNumWorkers; // train_num_workers
@Schema(description = "Val dataloader workers", example = "8")
private Integer valNumWorkers; // val_num_workers
@Schema(description = "Test dataloader workers", example = "8")
private Integer testNumWorkers; // test_num_workers
@Schema(description = "Train shuffle 여부", example = "true")
private Boolean trainShuffle; // train_shuffle
@Schema(description = "Train persistent workers 여부", example = "true")
private Boolean trainPersistent; // train_persistent
@Schema(description = "Val persistent workers 여부", example = "true")
private Boolean valPersistent; // val_persistent
// -------------------------
// Model Architecture
// -------------------------
@Schema(description = "Drop Path 비율", example = "0.3")
private Double dropPathRate; // drop_path_rate
@Schema(description = "Freeze 단계(-1:None)", example = "-1")
private Integer frozenStages; // frozen_stages
@Schema(description = "Neck 결합 정책", example = "abs_diff")
private String neckPolicy; // neck_policy
@Schema(description = "디코더 채널 구성", example = "512,256,128,64")
private String decoderChannels; // decoder_channels
@Schema(description = "클래스별 가중치", example = "1,10")
private String classWeight; // class_weight
// -------------------------
// Loss & Optimization
// -------------------------
@Schema(description = "학습률", example = "0.00006")
private Double learningRate; // learning_rate
@Schema(description = "Weight Decay", example = "0.05")
private Double weightDecay; // weight_decay
@Schema(description = "Layer Decay Rate", example = "0.9")
private Double layerDecayRate; // layer_decay_rate
@Schema(description = "DDP unused params 탐색 여부", example = "true")
private Boolean ddpFindUnusedParams; // ddp_find_unused_params
@Schema(description = "Loss 계산 제외 인덱스", example = "255")
private Integer ignoreIndex; // ignore_index
@Schema(description = "레이어 깊이", example = "24")
private Integer numLayers; // num_layers
// -------------------------
// Evaluation
// -------------------------
@Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
private String metrics; // metrics
@Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
private String saveBest; // save_best
@Schema(description = "Best 모델 선정 규칙", example = "less")
private String saveBestRule; // save_best_rule
@Schema(description = "검증 수행 주기(Epoch)", example = "10")
private Integer valInterval; // val_interval
@Schema(description = "로그 기록 주기(Iteration)", example = "400")
private Integer logInterval; // log_interval
@Schema(description = "시각화 저장 주기(Epoch)", example = "1")
private Integer visInterval; // vis_interval
// -------------------------
// Augmentation
// -------------------------
@Schema(description = "회전 적용 확률", example = "0.5")
private Double rotProb; // rot_prob
@Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
private String rotDegree; // rot_degree
@Schema(description = "반전 적용 확률", example = "0.5")
private Double flipProb; // flip_prob
@Schema(description = "채널 교환 확률", example = "0.5")
private Double exchangeProb; // exchange_prob
@Schema(description = "밝기 변화량", example = "10")
private Integer brightnessDelta; // brightness_delta
@Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
private String contrastRange; // contrast_range
@Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
private String saturationRange; // saturation_range
@Schema(description = "색조 변화량", example = "10")
private Integer hueDelta; // hue_delta
// -------------------------
// Hardware
// -------------------------
@Schema(description = "사용 GPU 개수", example = "4")
private Integer gpuCnt; // gpu_cnt
@Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
private String gpuIds; // gpu_ids
@Schema(description = "분산학습 마스터 포트", example = "1122")
private Integer masterPort; // master_port
// -------------------------
// Memo
// -------------------------
@Schema(description = "메모", example = "하이퍼파라미터 신규등록")
private String memo; // memo
}

View File

@@ -0,0 +1,8 @@
package com.kamco.cd.training.common.dto;
public class MonitorDto {
public int cpu; // CPU 사용률 (%)
public long[] memory; // "사용/전체"
public int gpu; // 🔥 전체 GPU 평균 (%)
}

View File

@@ -0,0 +1,27 @@
package com.kamco.cd.training.common.enums;
import com.kamco.cd.training.common.utils.enums.EnumType;
import lombok.AllArgsConstructor;
import lombok.Getter;
@Getter
@AllArgsConstructor
public enum JobStatusType implements EnumType {
QUEUED("대기중"),
RUNNING("실행중"),
SUCCESS("성공"),
FAILED("실패"),
CANCELED("취소");
private final String desc;
@Override
public String getId() {
return name();
}
@Override
public String getText() {
return desc;
}
}

View File

@@ -0,0 +1,24 @@
package com.kamco.cd.training.common.enums;
import com.kamco.cd.training.common.utils.enums.EnumType;
import lombok.AllArgsConstructor;
import lombok.Getter;
@Getter
@AllArgsConstructor
public enum JobType implements EnumType {
TRAIN("학습"),
TEST("테스트");
private final String desc;
@Override
public String getId() {
return name();
}
@Override
public String getText() {
return desc;
}
}

View File

@@ -0,0 +1,35 @@
package com.kamco.cd.training.common.enums;
import com.kamco.cd.training.common.utils.enums.CodeExpose;
import com.kamco.cd.training.common.utils.enums.EnumType;
import java.util.Arrays;
import lombok.AllArgsConstructor;
import lombok.Getter;
@CodeExpose
@Getter
@AllArgsConstructor
public enum ModelType implements EnumType {
G1("G1"),
G2("G2"),
G3("G3");
private String desc;
public static ModelType getValueData(String modelNo) {
return Arrays.stream(ModelType.values())
.filter(m -> m.getId().equals(modelNo))
.findFirst()
.orElse(G1);
}
@Override
public String getId() {
return name();
}
@Override
public String getText() {
return desc;
}
}

View File

@@ -0,0 +1,50 @@
package com.kamco.cd.training.common.service;
import java.nio.file.FileStore;
import java.nio.file.Files;
import java.nio.file.Path;
public class FormatStorage {
private FormatStorage() {}
/** 디스크 사용량 조회 */
public static DiskUsage getDiskUsage(Path path) throws Exception {
FileStore store = Files.getFileStore(path);
long total = store.getTotalSpace();
long usable = store.getUsableSpace();
return new DiskUsage(path.toString(), total, usable);
}
/** 디스크 사용량 DTO */
public record DiskUsage(String path, long totalBytes, long usableBytes) {
public long usedBytes() {
return totalBytes - usableBytes;
}
public double usedPercent() {
return totalBytes == 0 ? 0.0 : (usedBytes() * 100.0) / totalBytes;
}
public String totalText() {
return formatStorageSize(totalBytes);
}
public String usableText() {
return formatStorageSize(usableBytes);
}
/** 저장공간을 사람이 읽기 좋은 단위로 변환 (GB / MB) */
private static String formatStorageSize(long bytes) {
double gb = bytes / 1024.0 / 1024 / 1024;
if (gb >= 1) {
return String.format("%.1f GB", gb);
}
double mb = bytes / 1024.0 / 1024;
return String.format("%.0f MB", mb);
}
}
}

View File

@@ -0,0 +1,142 @@
package com.kamco.cd.training.common.service;
import jakarta.annotation.PostConstruct;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import lombok.extern.log4j.Log4j2;
import org.springframework.stereotype.Component;
@Component
@Log4j2
public class GpuDmonReader {
// =========================
// GPU 사용률 저장소
// key: GPU index (0,1,2...)
// value: 현재 GPU 사용률 (%)
// ConcurrentHashMap → 멀티스레드 안전
// =========================
private final Map<Integer, Integer> gpuUtilMap = new ConcurrentHashMap<>();
// =========================
// 외부 조회용
// SystemMonitorService에서 호출
// =========================
public Map<Integer, Integer> getGpuUtilMap() {
return gpuUtilMap;
}
// =========================
// Bean 초기화 시 실행
// - 별도 스레드에서 GPU 모니터링 시작
// - 메인 스레드 block 방지
// =========================
@PostConstruct
public void start() {
// nvidia-smi 없는 환경이면 GPU 모니터링 비활성화
if (!isNvidiaAvailable()) {
log.warn("nvidia-smi not found. GPU monitoring disabled.");
return;
}
// 데몬 스레드로 실행 (서버 종료 시 자동 종료)
Thread t = new Thread(this::runLoop, "gpu-dmon-thread");
t.setDaemon(true);
t.start();
}
// =========================
// 무한 루프
// - dmon 실행
// - 죽으면 자동 재시작
// =========================
private void runLoop() {
while (true) {
try {
runDmon(); // GPU 사용률 수집 시작
} catch (Exception e) {
// dmon 프로세스 종료되면 여기로 들어옴
log.warn("dmon restart: {}", e.getMessage());
}
// 5초 대기 후 재시작
sleep(5000);
}
}
// =========================
// nvidia-smi dmon 실행
// - GPU 사용률 스트리밍으로 계속 수신
// =========================
private void runDmon() throws Exception {
// -s u → GPU utilization만 출력
ProcessBuilder pb = new ProcessBuilder("nvidia-smi", "dmon", "-s", "u");
// 프로세스 실행 후 stdout 읽기
try (BufferedReader br =
new BufferedReader(new InputStreamReader(pb.start().getInputStream()))) {
String line;
// dmon은 계속 출력됨 (스트리밍)
while ((line = br.readLine()) != null) {
// 헤더 제거 (#로 시작)
if (line.startsWith("#")) continue;
line = line.trim();
if (line.isEmpty()) continue;
// 공백 기준 분리
String[] parts = line.split("\\s+");
// 첫 번째 값이 GPU index인지 확인
if (!parts[0].matches("\\d+")) continue;
int index = Integer.parseInt(parts[0]);
try {
// 두 번째 값이 GPU 사용률 (sm)
int util = Integer.parseInt(parts[1]);
// 최신 값 갱신
gpuUtilMap.put(index, util);
} catch (Exception ignored) {
// 파싱 실패 시 무시
}
}
}
// 여기까지 왔다는 건 dmon 프로세스 종료됨
// → runLoop에서 재시작하도록 예외 발생
throw new IllegalStateException("dmon stopped");
}
// =========================
// nvidia-smi 존재 여부 확인
// =========================
private boolean isNvidiaAvailable() {
try {
Process p = new ProcessBuilder("which", "nvidia-smi").start();
return p.waitFor() == 0;
} catch (Exception e) {
return false;
}
}
// =========================
// sleep 유틸
// =========================
private void sleep(long ms) {
try {
Thread.sleep(ms);
} catch (InterruptedException ignored) {
}
}
}

View File

@@ -0,0 +1,224 @@
package com.kamco.cd.training.common.service;
import com.kamco.cd.training.common.dto.MonitorDto;
import java.io.BufferedReader;
import java.io.FileReader;
import java.util.ArrayDeque;
import java.util.Deque;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import lombok.RequiredArgsConstructor;
import lombok.extern.log4j.Log4j2;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
@Log4j2
public class SystemMonitorService {
// =========================
// CPU 이전값 (delta 계산용)
// - /proc/stat은 누적값이기 때문에
// - 이전 값과 비교해서 사용률 계산
// =========================
private long prevIdle = 0;
private long prevTotal = 0;
// =========================
// 최근 30초 히스토리
// - CPU: 30개 (1초 * 30)
// - GPU: GPU별 30개
// =========================
private final Deque<Double> cpuHistory = new ArrayDeque<>();
// key: GPU index
// value: 최근 30개 사용률
private final Map<Integer, Deque<Integer>> gpuHistory = new ConcurrentHashMap<>();
// =========================
// GPU 데이터 제공 (dmon reader)
// =========================
private final GpuDmonReader gpuReader;
// =========================
// 캐시 (API 응답용)
// - 매 요청마다 계산하지 않기 위해 사용
// - volatile → 멀티스레드 안전하게 최신값 유지
// =========================
private volatile MonitorDto cached = new MonitorDto();
// =========================
// 1초마다 수집
// =========================
@Scheduled(fixedRate = 1000)
public void collect() {
try {
// =====================
// 1. CPU 수집
// =====================
double cpu = readCpu();
cpuHistory.add(cpu);
// 30개 유지 (rolling window)
if (cpuHistory.size() > 30) cpuHistory.poll();
// =====================
// 2. GPU 수집
// =====================
Map<Integer, Integer> gpuMap = gpuReader.getGpuUtilMap();
for (Map.Entry<Integer, Integer> entry : gpuMap.entrySet()) {
int index = entry.getKey();
int util = entry.getValue();
// GPU별 히스토리 생성 및 추가
gpuHistory.computeIfAbsent(index, k -> new ArrayDeque<>()).add(util);
// 30개 유지
Deque<Integer> q = gpuHistory.get(index);
if (q.size() > 30) q.poll();
}
// =====================
// 3. 캐시 업데이트
// =====================
updateCache();
} catch (Exception e) {
log.error("collect error", e);
}
}
// =========================
// CPU 사용률 계산
// - /proc/stat 사용
// - 이전값과의 차이로 계산 (delta 방식)
// =========================
private double readCpu() throws Exception {
if (!isLinux()) return 0;
try (BufferedReader br = new BufferedReader(new FileReader("/proc/stat"))) {
String[] p = br.readLine().split("\\s+");
long user = Long.parseLong(p[1]);
long nice = Long.parseLong(p[2]);
long system = Long.parseLong(p[3]);
long idle = Long.parseLong(p[4]);
long iowait = Long.parseLong(p[5]);
long irq = Long.parseLong(p[6]);
long softirq = Long.parseLong(p[7]);
long total = user + nice + system + idle + iowait + irq + softirq;
long idleAll = idle + iowait;
// 최초 실행 시 기준값만 저장
if (prevTotal == 0) {
prevTotal = total;
prevIdle = idleAll;
return 0;
}
long totalDiff = total - prevTotal;
long idleDiff = idleAll - prevIdle;
prevTotal = total;
prevIdle = idleAll;
if (totalDiff == 0) return 0;
// CPU 사용률 (%)
return (1.0 - (double) idleDiff / totalDiff) * 100;
}
}
// =========================
// Linux 환경 체크
// =========================
private boolean isLinux() {
return System.getProperty("os.name").toLowerCase().contains("linux");
}
// =========================
// Memory 조회 (/proc/meminfo)
// - OS 값 그대로 사용 (kB)
// - [사용량, 전체]
// =========================
private long[] readMemory() throws Exception {
if (!isLinux()) return new long[] {0, 0};
try (BufferedReader br = new BufferedReader(new FileReader("/proc/meminfo"))) {
long total = 0;
long available = 0;
String line;
while ((line = br.readLine()) != null) {
if (line.startsWith("MemTotal")) {
total = Long.parseLong(line.replaceAll("\\D+", ""));
} else if (line.startsWith("MemAvailable")) {
available = Long.parseLong(line.replaceAll("\\D+", ""));
}
}
long used = total - available;
return new long[] {used, total};
}
}
// =========================
// 캐시 업데이트
// - CPU: 30초 평균
// - GPU: 전체 샘플 평균
// - Memory: 현재값
// =========================
private void updateCache() throws Exception {
MonitorDto dto = new MonitorDto();
// =====================
// CPU 평균 (30초)
// =====================
dto.cpu = (int) cpuHistory.stream().mapToDouble(Double::doubleValue).average().orElse(0);
// =====================
// Memory (kB 그대로)
// =====================
dto.memory = readMemory();
// =====================
// GPU 평균 (🔥 전체 샘플 기준)
// =====================
int sum = 0;
int count = 0;
for (Deque<Integer> q : gpuHistory.values()) {
for (int v : q) {
sum += v;
count++;
}
}
dto.gpu = (count == 0) ? 0 : sum / count;
// =====================
// 캐시 교체 (atomic)
// =====================
this.cached = dto;
}
// =========================
// 외부 조회
// - Controller에서 호출
// =========================
public MonitorDto get() {
return cached;
}
}

View File

@@ -2,13 +2,21 @@ package com.kamco.cd.training.common.utils;
import static java.lang.String.CASE_INSENSITIVE_ORDER;
import com.jcraft.jsch.ChannelExec;
import com.jcraft.jsch.JSch;
import com.jcraft.jsch.Session;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.config.api.ApiResponseDto.ApiResponseCode;
import io.swagger.v3.oas.annotations.media.Schema;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.FileReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.UncheckedIOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
@@ -21,17 +29,23 @@ import java.util.Arrays;
import java.util.Comparator;
import java.util.Date;
import java.util.List;
import java.util.Properties;
import java.util.Set;
import java.util.function.Predicate;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import java.util.zip.ZipEntry;
import java.util.zip.ZipInputStream;
import lombok.Getter;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.io.FilenameUtils;
import org.geotools.coverage.grid.GridCoverage2D;
import org.geotools.gce.geotiff.GeoTiffReader;
import org.springframework.http.HttpStatus;
import org.springframework.util.FileSystemUtils;
import org.springframework.web.multipart.MultipartFile;
@Slf4j
public class FIleChecker {
static SimpleDateFormat dttmFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
@@ -492,16 +506,37 @@ public class FIleChecker {
public static boolean multipartChunkSaveTo(
MultipartFile mfile, String targetPath, int chunkIndex) {
File dest = new File(targetPath, String.valueOf(chunkIndex));
boolean fileUpload = true;
try {
File dir = new File(targetPath);
log.info("targetPath={}", targetPath);
log.info("absolute targetPath={}", dir.getAbsolutePath());
if (!dir.exists()) {
dir.mkdirs();
}
File dest = new File(dir, String.valueOf(chunkIndex));
log.info("real save path = {}", dest.getAbsolutePath());
log.info("chunkIndex={}, uploadSize={}", chunkIndex, mfile.getSize());
log.info("savedSize={}", dest.length());
// ⭐ 핵심
if (dest.exists()) {
dest.delete();
}
log.info("after delete={}", dest.length());
mfile.transferTo(dest);
log.info("after transfer size={}", dest.length());
log.info("after transfer exists={}", dest.exists());
return true;
} catch (IOException e) {
log.error("chunk save error", e);
return false;
}
return true;
}
public static boolean deleteFolder(String path) {
@@ -680,4 +715,148 @@ public class FIleChecker {
this.lastModified = lastModified;
}
}
public static void unzip(String fileName, String destDirectory) throws IOException {
String zipFilePath = destDirectory + File.separator + fileName;
log.info("fileName : {}", fileName);
log.info("destDirectory : {}", destDirectory);
log.info("zipFilePath : {}", zipFilePath);
// zip 이름으로 폴더 생성 (확장자 제거)
String folderName =
fileName.endsWith(".zip") ? fileName.substring(0, fileName.length() - 4) : fileName;
log.info("folderName : {}", folderName);
File destDir = new File(destDirectory, folderName);
log.info("destDir : {}", destDir);
// 동일 폴더가 이미 있으면 삭제
log.info("111 destDir.exists() : {}", destDir.exists());
if (destDir.exists()) {
deleteDirectoryRecursively(destDir.toPath());
}
log.info("222 destDir.exists() : {}", destDir.exists());
if (!destDir.exists()) {
log.info("mkdirs : {}", destDir.exists());
destDir.mkdirs();
}
try (ZipInputStream zis = new ZipInputStream(new FileInputStream(zipFilePath))) {
ZipEntry zipEntry = zis.getNextEntry();
while (zipEntry != null) {
File newFile = newFile(destDir, zipEntry);
if (zipEntry.isDirectory()) {
if (!newFile.isDirectory() && !newFile.mkdirs()) {
throw new IOException("디렉토리 생성 실패: " + newFile);
}
} else {
// 상위 디렉토리가 없는 경우 생성
File parent = newFile.getParentFile();
if (!parent.exists() && !parent.mkdirs()) {
throw new IOException("상위 디렉토리 생성 실패: " + parent);
}
// 실제 파일 쓰기
try (FileOutputStream fos = new FileOutputStream(newFile)) {
byte[] buffer = new byte[1024];
int len;
while ((len = zis.read(buffer)) > 0) {
fos.write(buffer, 0, len);
}
}
}
zipEntry = zis.getNextEntry();
}
zis.closeEntry();
} catch (IOException e) {
throw new CustomApiException(
ApiResponseCode.INTERNAL_SERVER_ERROR.getId(),
HttpStatus.INTERNAL_SERVER_ERROR,
"압축 해제 중 오류가 발생했습니다: " + e.getMessage());
}
}
public static File newFile(File destinationDir, ZipEntry zipEntry) throws IOException {
File destFile = new File(destinationDir, zipEntry.getName());
String destDirPath = destinationDir.getCanonicalPath();
String destFilePath = destFile.getCanonicalPath();
if (!destFilePath.startsWith(destDirPath + File.separator)) {
throw new IOException("엔트리가 대상 디렉토리를 벗어남: " + zipEntry.getName());
}
return destFile;
}
public static List<String> execCommandAndReadLines(String command) {
List<String> result = new ArrayList<>();
String host = "192.168.2.86";
String user = "kcomu";
String password = "Kamco2025!";
Session session = null;
ChannelExec channel = null;
try {
JSch jsch = new JSch();
session = jsch.getSession(user, host, 22);
session.setPassword(password);
Properties config = new Properties();
config.put("StrictHostKeyChecking", "no");
session.setConfig(config);
session.connect(10_000);
channel = (ChannelExec) session.openChannel("exec");
channel.setCommand(command);
channel.setInputStream(null);
InputStream in = channel.getInputStream();
channel.connect();
try (BufferedReader br = new BufferedReader(new InputStreamReader(in))) {
String line;
while ((line = br.readLine()) != null) {
result.add(line);
}
}
return result;
} catch (Exception e) {
throw new RuntimeException("remote command failed : " + command, e);
} finally {
if (channel != null) channel.disconnect();
if (session != null) session.disconnect();
}
}
/** ✅ 폴더 재귀 삭제 */
private static void deleteDirectoryRecursively(Path path) throws IOException {
if (!Files.exists(path)) return;
// 하위부터 지워야 하므로 reverse order
Files.walk(path)
.sorted(Comparator.reverseOrder())
.forEach(
p -> {
try {
Files.deleteIfExists(p);
} catch (IOException e) {
// 여기서 바로 RuntimeException으로 올려서 상위 catch(IOException)로 잡히게 함
throw new UncheckedIOException("폴더 삭제 실패: " + p.toAbsolutePath(), e);
}
});
}
}

View File

@@ -0,0 +1,23 @@
package com.kamco.cd.training.common.utils;
import jakarta.servlet.http.HttpServletRequest;
public final class HeaderUtil {
private HeaderUtil() {}
/** 특정 Header 값 조회 */
public static String get(HttpServletRequest request, String headerName) {
if (request == null || headerName == null) {
return null;
}
String value = request.getHeader(headerName);
return (value != null && !value.isBlank()) ? value : null;
}
/** 필수 Header 조회 (없으면 null) */
public static String getRequired(HttpServletRequest request, String headerName) {
return get(request, headerName);
}
}

View File

@@ -0,0 +1,23 @@
package com.kamco.cd.training.config;
import java.util.concurrent.Executor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
@Configuration
@EnableAsync
public class AsyncConfig {
@Bean(name = "trainJobExecutor")
public Executor trainJobExecutor() {
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
executor.setCorePoolSize(4); // 동시에 4개 실행
executor.setMaxPoolSize(8); // 최대 8개
executor.setQueueCapacity(200); // 대기 큐
executor.setThreadNamePrefix("train-job-");
executor.initialize();
return executor;
}
}

View File

@@ -76,11 +76,13 @@ public class SecurityConfig {
"/api/auth/logout",
"/swagger-ui/**",
"/v3/api-docs/**",
"/api/members/*/password",
"/api/upload/chunk-upload-dataset",
"/api/upload/chunk-upload-complete")
"/api/upload/chunk-upload-complete",
"/download_progress_test.html",
"/api/models/download/**")
.permitAll()
.requestMatchers("/api/members/*/password")
.authenticated()
// default
.anyRequest()
.authenticated())
@@ -102,15 +104,19 @@ public class SecurityConfig {
return new BCryptPasswordEncoder();
}
/** CORS 설정 */
/** CORS 설정 - application.yml에서 환경별로 관리 */
@Bean
public CorsConfigurationSource corsConfigurationSource() {
CorsConfiguration config = new CorsConfiguration(); // CORS 객체 생성
// application.yml에서 환경별로 설정된 도메인 사용
config.setAllowedOriginPatterns(List.of("*")); // 도메인 허용
config.setAllowedMethods(List.of("GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"));
config.setAllowedHeaders(List.of("*")); // 헤더요청 Authorization, Content-Type, X-Custom-Header
config.setAllowCredentials(true); // 쿠키, Authorization 헤더, Bearer Token 등 자격증명 포함 요청을 허용할지 설정
config.setExposedHeaders(List.of("Content-Disposition"));
config.setExposedHeaders(List.of("Content-Disposition", "Authorization"));
config.setMaxAge(3600L); // Preflight 요청 캐시 (1시간)
UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();
/** "/**" → 모든 API 경로에 대해 이 CORS 규칙을 적용 /api/** 같이 특정 경로만 지정 가능. */

View File

@@ -57,7 +57,7 @@ public class StartupLogger {
"""
╔════════════════════════════════════════════════════════════════════════════════╗
║ 🚀 APPLICATION STARTUP INFORMATION
║ 🚀 APPLICATION STARTUP INFORMATION 2
╠════════════════════════════════════════════════════════════════════════════════╣
║ PROFILE CONFIGURATION ║
╠────────────────────────────────────────────────────────────────────────────────╣

View File

@@ -5,11 +5,14 @@ import com.kamco.cd.training.log.dto.EventType;
import com.kamco.cd.training.menu.dto.MenuDto;
import jakarta.servlet.http.HttpServletRequest;
import java.io.UnsupportedEncodingException;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.util.ContentCachingRequestWrapper;
@Slf4j
public class ApiLogFunction {
// 클라이언트 IP 추출
@@ -34,6 +37,14 @@ public class ApiLogFunction {
return ip;
}
public static String getXFowardedForIp(HttpServletRequest request) {
String ip = request.getHeader("X-Forwarded-For");
if (ip != null) {
ip = ip.split(",")[0].trim();
}
return ip;
}
// 사용자 ID 추출 예시 (Spring Security 기준)
public static String getUserId(HttpServletRequest request) {
try {
@@ -47,20 +58,20 @@ public class ApiLogFunction {
String method = request.getMethod().toUpperCase();
String uri = request.getRequestURI().toLowerCase();
// URL 기반 DOWNLOAD/PRINT 분류
// URL 기반 DOWNLOAD/PRINT 분류 -> /download는 FileDownloadInterceptor로 옮김
if (uri.contains("/download") || uri.contains("/export")) {
return EventType.DOWNLOAD;
}
if (uri.contains("/print")) {
return EventType.PRINT;
return EventType.OTHER;
}
// 일반 CRUD
return switch (method) {
case "POST" -> EventType.CREATE;
case "GET" -> EventType.READ;
case "DELETE" -> EventType.DELETE;
case "PUT", "PATCH" -> EventType.UPDATE;
case "POST" -> EventType.ADDED;
case "GET" -> EventType.LIST;
case "DELETE" -> EventType.REMOVE;
case "PUT", "PATCH" -> EventType.MODIFIED;
default -> EventType.OTHER;
};
}
@@ -121,12 +132,22 @@ public class ApiLogFunction {
public static String getUriMenuInfo(List<MenuDto.Basic> menuList, String uri) {
MenuDto.Basic m =
String normalizedUri = uri.replace("/api", "");
MenuDto.Basic basic =
menuList.stream()
.filter(menu -> menu.getMenuApiUrl() != null && uri.contains(menu.getMenuApiUrl()))
.findFirst()
.filter(
menu -> menu.getMenuUrl() != null && normalizedUri.startsWith(menu.getMenuUrl()))
.max(Comparator.comparingInt(m -> m.getMenuUrl().length()))
.orElse(null);
return m != null ? m.getMenuUid() : "SYSTEM";
return basic != null ? basic.getMenuUid() : "SYSTEM";
}
public static String cutRequestBody(String value) {
int MAX_LEN = 255;
if (value == null) {
return null;
}
return value.length() <= MAX_LEN ? value : value.substring(0, MAX_LEN);
}
}

View File

@@ -2,10 +2,17 @@ package com.kamco.cd.training.config.api;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.kamco.cd.training.auth.CustomUserDetails;
import com.kamco.cd.training.common.utils.HeaderUtil;
import com.kamco.cd.training.log.dto.EventType;
import com.kamco.cd.training.menu.dto.MenuDto;
import com.kamco.cd.training.menu.service.MenuService;
import com.kamco.cd.training.postgres.entity.AuditLogEntity;
import com.kamco.cd.training.postgres.repository.log.AuditLogRepository;
import jakarta.servlet.http.HttpServletRequest;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Optional;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.core.MethodParameter;
import org.springframework.http.MediaType;
@@ -23,6 +30,7 @@ import org.springframework.web.util.ContentCachingRequestWrapper;
*
* <p>createOK() → 201 CREATED ok() → 200 OK deleteOk() → 204 NO_CONTENT
*/
@Slf4j
@RestControllerAdvice
public class ApiResponseAdvice implements ResponseBodyAdvice<Object> {
@@ -61,12 +69,27 @@ public class ApiResponseAdvice implements ResponseBodyAdvice<Object> {
if (body instanceof ApiResponseDto<?> apiResponse) {
response.setStatusCode(apiResponse.getHttpStatus());
String ip = ApiLogFunction.getClientIp(servletRequest);
Long userid = null;
String actionType = HeaderUtil.get(servletRequest, "kamco-action-type");
// actionType 이 없으면 로그 저장하지 않기 || download 는 FileDownloadInterceptor 에서 하기
// (file down URL prefix 추가는 WebConfig.java 에 하기)
if (actionType == null || actionType.equalsIgnoreCase("download")) {
return body;
}
if (servletRequest.getUserPrincipal() instanceof UsernamePasswordAuthenticationToken auth
&& auth.getPrincipal() instanceof CustomUserDetails customUserDetails) {
userid = customUserDetails.getMember().getId();
String ip =
Optional.ofNullable(HeaderUtil.get(servletRequest, "kamco-user-ip"))
.orElseGet(() -> ApiLogFunction.getXFowardedForIp(servletRequest));
Long userid = null;
String loginAttemptId = null;
// 로그인 시도할 때
if (servletRequest.getRequestURI().contains("/api/auth/signin")) {
loginAttemptId = HeaderUtil.get(servletRequest, "kamco-login-attempt-id");
} else {
if (servletRequest.getUserPrincipal() instanceof UsernamePasswordAuthenticationToken auth
&& auth.getPrincipal() instanceof CustomUserDetails customUserDetails) {
userid = customUserDetails.getMember().getId();
}
}
String requestBody;
@@ -84,17 +107,33 @@ public class ApiResponseAdvice implements ResponseBodyAdvice<Object> {
requestBody = maskSensitiveFields(requestBody);
}
List<?> list = menuService.getFindAll();
List<MenuDto.Basic> result =
list.stream()
.map(
item -> {
if (item instanceof LinkedHashMap<?, ?> map) {
return objectMapper.convertValue(map, MenuDto.Basic.class);
} else if (item instanceof MenuDto.Basic dto) {
return dto;
} else {
throw new IllegalStateException("Unsupported cache type: " + item.getClass());
}
})
.toList();
AuditLogEntity log =
new AuditLogEntity(
userid,
ApiLogFunction.getEventType(servletRequest),
EventType.fromName(actionType),
ApiLogFunction.isSuccessFail(apiResponse),
ApiLogFunction.getUriMenuInfo(
menuService.getFindAll(), servletRequest.getRequestURI()),
ApiLogFunction.getUriMenuInfo(result, servletRequest.getRequestURI()),
ip,
servletRequest.getRequestURI(),
requestBody,
apiResponse.getErrorLogUid());
ApiLogFunction.cutRequestBody(requestBody),
apiResponse.getErrorLogUid(),
null,
loginAttemptId);
auditLogRepository.save(log);
}

View File

@@ -164,6 +164,7 @@ public class ApiResponseDto<T> {
NOT_FOUND_USER_FOR_EMAIL("이메일로 유저를 찾을 수 없습니다."),
NOT_FOUND_USER("사용자를 찾을 수 없습니다."),
UNPROCESSABLE_ENTITY("이 데이터는 삭제할 수 없습니다."),
UNPROCESSABLE_ENTITY_UPDATE("이 데이터는 수정할 수 없습니다."),
LOGIN_ID_NOT_FOUND("아이디를 잘못 입력하셨습니다."),
LOGIN_PASSWORD_MISMATCH("비밀번호를 잘못 입력하셨습니다."),
LOGIN_PASSWORD_EXCEEDED("비밀번호 오류 횟수를 초과하여 이용하실 수 없습니다.\n로그인 오류에 대해 관리자에게 문의하시기 바랍니다."),

View File

@@ -1,4 +1,4 @@
package com.kamco.cd.training.config;
package com.kamco.cd.training.config.swagger;
import io.swagger.v3.oas.annotations.enums.SecuritySchemeType;
import io.swagger.v3.oas.annotations.security.SecurityScheme;

View File

@@ -0,0 +1,97 @@
package com.kamco.cd.training.config.swagger;
import jakarta.servlet.http.HttpServletRequest;
import java.nio.charset.StandardCharsets;
import org.springdoc.core.properties.SwaggerUiConfigProperties;
import org.springdoc.core.properties.SwaggerUiOAuthProperties;
import org.springdoc.core.providers.ObjectMapperProvider;
import org.springdoc.webmvc.ui.SwaggerIndexPageTransformer;
import org.springdoc.webmvc.ui.SwaggerIndexTransformer;
import org.springdoc.webmvc.ui.SwaggerWelcomeCommon;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.context.annotation.Profile;
import org.springframework.core.io.Resource;
import org.springframework.web.servlet.resource.ResourceTransformerChain;
import org.springframework.web.servlet.resource.TransformedResource;
@Profile({"local", "dev"})
@Configuration
public class SwaggerUiAutoAuthConfig {
@Bean
@Primary
public SwaggerIndexTransformer swaggerIndexTransformer(
SwaggerUiConfigProperties swaggerUiConfigProperties,
SwaggerUiOAuthProperties swaggerUiOAuthProperties,
SwaggerWelcomeCommon swaggerWelcomeCommon,
ObjectMapperProvider objectMapperProvider) {
SwaggerIndexPageTransformer delegate =
new SwaggerIndexPageTransformer(
swaggerUiConfigProperties,
swaggerUiOAuthProperties,
swaggerWelcomeCommon,
objectMapperProvider);
return new SwaggerIndexTransformer() {
private static final String TOKEN_KEY = "SWAGGER_ACCESS_TOKEN";
@Override
public Resource transform(
HttpServletRequest request, Resource resource, ResourceTransformerChain chain) {
try {
// 1) springdoc 기본 변환 먼저 적용
Resource transformed = delegate.transform(request, resource, chain);
String html =
new String(transformed.getInputStream().readAllBytes(), StandardCharsets.UTF_8);
String loginPathContains = "/api/auth/signin";
String inject =
"""
tagsSorter: (a, b) => {
const TOP = '인증(Auth)';
if (a === TOP && b !== TOP) return -1;
if (b === TOP && a !== TOP) return 1;
return a.localeCompare(b);
},
requestInterceptor: (req) => {
const token = localStorage.getItem('%s');
if (token) {
req.headers = req.headers || {};
req.headers['Authorization'] = 'Bearer ' + token;
}
return req;
},
responseInterceptor: async (res) => {
try {
const isLogin = (res?.url?.includes('%s') && res?.status === 200);
if (isLogin) {
const text = (typeof res.data === 'string') ? res.data : JSON.stringify(res.data);
const json = JSON.parse(text);
const token = json?.data?.accessToken;
if (token) {
localStorage.setItem('%s', token);
}
}
} catch (e) {}
return res;
},
"""
.formatted(TOKEN_KEY, loginPathContains, TOKEN_KEY);
html = html.replace("SwaggerUIBundle({", "SwaggerUIBundle({\n" + inject);
return new TransformedResource(transformed, html.getBytes(StandardCharsets.UTF_8));
} catch (Exception e) {
// 실패 시 원본 반환(문서 깨짐 방지)
return resource;
}
}
};
}
}

View File

@@ -2,8 +2,9 @@ package com.kamco.cd.training.dataset;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.dataset.dto.DatasetDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.dataset.dto.DatasetObjDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetStorage;
import com.kamco.cd.training.dataset.service.DatasetService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.Parameter;
@@ -13,10 +14,16 @@ import io.swagger.v3.oas.annotations.responses.ApiResponse;
import io.swagger.v3.oas.annotations.responses.ApiResponses;
import io.swagger.v3.oas.annotations.tags.Tag;
import jakarta.validation.Valid;
import java.io.IOException;
import java.nio.file.FileStore;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.core.io.Resource;
import org.springframework.data.domain.Page;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;
@Tag(name = "학습데이터 관리", description = "어드민 홈 > 학습데이터관리 > 전체데이터 API")
@@ -79,26 +86,6 @@ public class DatasetApiController {
return ApiResponseDto.ok(datasetService.getDatasetDetail(uuid));
}
@Operation(summary = "학습데이터 등록", description = "학습데이터 파일 업로드")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "201",
description = "등록 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class))),
@ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/register")
public ApiResponseDto<Long> registerDataset(
@RequestBody @Valid DatasetDto.RegisterReq registerReq) {
Long id = datasetService.registerDataset(registerReq);
return ApiResponseDto.createOK(id);
}
@Operation(summary = "학습데이터 수정", description = "학습데이터 제목, 메모 수정")
@ApiResponses(
value = {
@@ -150,15 +137,11 @@ public class DatasetApiController {
})
@GetMapping("/obj-list")
public ApiResponseDto<Page<DatasetObjDto.Basic>> searchDatasetObjectList(
@Parameter(description = "회차 uuid", example = "35e20bb2-9014-4c9d-abe2-9046db5f930c")
@Parameter(description = "회차 uuid", example = "e9a6774b-4f81-4402-b080-51d27fac1f01")
@RequestParam(required = true)
UUID uuid,
@Parameter(description = "비교년도", example = "2021") @RequestParam(required = false)
Integer compareYyyy,
@Parameter(description = "비교년도분류", example = "container") @RequestParam(required = false)
String compareClassCd,
@Parameter(description = "기준년도", example = "2022") @RequestParam(required = false)
Integer targetYyyy,
@Parameter(description = "기준년도분류", example = "waste") @RequestParam(required = false)
String targetClassCd,
@Parameter(description = "도엽번호", example = "36713060") @RequestParam(required = false)
@@ -167,9 +150,7 @@ public class DatasetApiController {
@RequestParam(defaultValue = "20") int size) {
DatasetObjDto.SearchReq searchReq = new DatasetObjDto.SearchReq();
searchReq.setUuid(uuid);
searchReq.setCompareYyyy(compareYyyy);
searchReq.setCompareClassCd(compareClassCd);
searchReq.setTargetYyyy(targetYyyy);
searchReq.setTargetClassCd(targetClassCd);
searchReq.setMapSheetNum(mapSheetNum);
searchReq.setPage(page);
@@ -177,12 +158,12 @@ public class DatasetApiController {
return ApiResponseDto.ok(datasetService.searchDatasetObjectList(searchReq));
}
@Operation(summary = "학습데이터 관리 목록 조회", description = "학습데이터 목록을 조회합니다.")
@Operation(summary = "학습데이터 관리 obj 삭제", description = "학습데이터 관리 obj 삭제 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
description = "삭제 성공",
content =
@Content(
mediaType = "application/json",
@@ -195,7 +176,7 @@ public class DatasetApiController {
return ApiResponseDto.ok(datasetService.deleteDatasetObjByUuid(uuid));
}
@Operation(summary = "학습데이터관리 상세 조회", description = "학습데이터관리 상세 정보를 조회합니다.")
@Operation(summary = "학습데이터 결과 class 조회", description = "학습데이터 결과 class 조회 API")
@ApiResponses(
value = {
@ApiResponse(
@@ -204,24 +185,67 @@ public class DatasetApiController {
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = DatasetDto.Basic.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/select-dataset-list")
public ApiResponseDto<List<SelectDataSet>> getDatasetSelectList(
@Parameter(
description = "모델 구분",
example = "",
schema = @Schema(allowableValues = {"M1", "M2", "M3"}))
@RequestParam
String modelType,
@Parameter(
description = "선택 구분",
example = "",
schema = @Schema(allowableValues = {"CURRENT", "DELIVER", "PRODUCTION"}))
@RequestParam
String selectType) {
return ApiResponseDto.ok(datasetService.getDatasetSelectList(modelType, selectType));
@GetMapping("/class/{uuid}")
public ApiResponseDto<List<DatasetClass>> getDatasetObjByUuid(
@Parameter(description = "dataset uuid", example = "e1416f32-769f-495c-a883-3ebfacef4bac")
@PathVariable
UUID uuid,
@Parameter(description = "compare, target", example = "compare") @RequestParam String type) {
return ApiResponseDto.ok(datasetService.getDatasetObjByUuid(uuid, type));
}
@Operation(summary = "남은 저장공간 조회", description = "남은 저장공간 조회 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "404", description = "저장 공간 조회 오류", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/usable-bytes")
public ApiResponseDto<DatasetStorage> getUsableBytes() throws IOException {
FileStore store = Files.getFileStore(Path.of("."));
long usable = store.getUsableSpace();
DatasetStorage storage = new DatasetStorage();
storage.setUsableBytes(String.valueOf(usable));
// datasetService.getUsableBytes();
return ApiResponseDto.ok(storage);
}
@Operation(summary = "학습데이터 zip파일 등록", description = "학습데이터 zip파일 등록 합니다.")
@PostMapping
public ApiResponseDto<ApiResponseDto.ResponseObj> insertDataset(
@RequestBody @Valid DatasetDto.AddReq addReq) {
return ApiResponseDto.okObject(datasetService.insertDataset(addReq));
}
@Operation(summary = "객체별 파일 Path 조회", description = "파일 Path 조회")
@GetMapping("/files")
public ResponseEntity<Resource> getFile(@RequestParam UUID uuid, @RequestParam String pathType)
throws Exception {
String path = datasetService.getFilePathByUUIDPathType(uuid, pathType);
return datasetService.getFilePathByFile(path);
}
@Operation(summary = "객체별 파일 Path 조회", description = "파일 Path 조회")
@GetMapping("/files-to86")
public ResponseEntity<Resource> getFileTo86(
@RequestParam UUID uuid, @RequestParam String pathType) throws Exception {
String path = datasetService.getFilePathByUUIDPathType(uuid, pathType);
return datasetService.getFilePathByFile(path);
}
}

View File

@@ -1,56 +0,0 @@
package com.kamco.cd.training.dataset;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.dataset.dto.MapSheetDto;
import com.kamco.cd.training.dataset.service.MapSheetService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.media.Content;
import io.swagger.v3.oas.annotations.media.Schema;
import io.swagger.v3.oas.annotations.responses.ApiResponse;
import io.swagger.v3.oas.annotations.responses.ApiResponses;
import io.swagger.v3.oas.annotations.tags.Tag;
import jakarta.validation.Valid;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.web.bind.annotation.*;
@Tag(name = "도엽 관리", description = "도엽(MapSheet) 관리 API")
@RestController
@RequiredArgsConstructor
public class MapSheetApiController {
private final MapSheetService mapSheetService;
@Operation(summary = "도엽 목록 조회", description = "데이터셋의 도엽 목록을 조회합니다.")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/api/datasets/items/search")
public ApiResponseDto<Page<MapSheetDto.Basic>> searchMapSheets(
@RequestBody @Valid MapSheetDto.SearchReq searchReq) {
return ApiResponseDto.ok(mapSheetService.searchMapSheets(searchReq));
}
@Operation(summary = "도엽 삭제", description = "도엽을 삭제합니다 (다건 지원).")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
@ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
@ApiResponse(responseCode = "404", description = "도엽을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/api/datasets/items/delete")
public ApiResponseDto<Void> deleteMapSheets(@RequestBody @Valid MapSheetDto.DeleteReq deleteReq) {
mapSheetService.deleteMapSheets(deleteReq);
return ApiResponseDto.ok(null);
}
}

View File

@@ -1,8 +1,9 @@
package com.kamco.cd.training.dataset.dto;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.kamco.cd.training.common.enums.LearnDataRegister;
import com.kamco.cd.training.common.enums.LearnDataType;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.common.utils.enums.Enums;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
@@ -13,6 +14,7 @@ import java.time.ZonedDateTime;
import java.util.List;
import java.util.UUID;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
@@ -74,9 +76,16 @@ public class DatasetDto {
}
public String getTotalSize(Long totalSize) {
if (totalSize == null) return "0G";
if (totalSize == null || totalSize <= 0) return "0M";
double giga = totalSize / (1024.0 * 1024 * 1024);
return String.format("%.2fG", giga);
if (giga >= 1) {
return String.format("%.2fG", giga);
} else {
double mega = totalSize / (1024.0 * 1024);
return String.format("%.2fM", mega);
}
}
public String getStatus(String status) {
@@ -132,9 +141,7 @@ public class DatasetDto {
private int size = 20;
public Pageable toPageable() {
// API에서는 1부터 시작하지만 내부적으로는 0부터 시작
int pageIndex = Math.max(0, page - 1);
return PageRequest.of(pageIndex, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
return PageRequest.of(page, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
}
}
@@ -226,27 +233,31 @@ public class DatasetDto {
@Getter
@Setter
@NoArgsConstructor
@JsonInclude(JsonInclude.Include.NON_NULL)
public static class SelectDataSet {
private String modelNo; // G1, G2, G3 모델 타입
private Long datasetId;
private UUID uuid;
private String dataType;
private String yyyy;
private String title;
private Long roundNo;
private Integer compareYyyy;
private Integer targetYyyy;
private String memo;
private Long classCount;
private Integer buildingCount;
private Integer containerCount;
@JsonIgnore private Long classCount;
private Integer buildingCnt;
private Integer containerCnt;
private String dataTypeName;
private Long wasteCnt;
private Long landCoverCnt;
public SelectDataSet(
String modelNo,
Long datasetId,
UUID uuid,
String dataType,
String yyyy,
String title,
Long roundNo,
Integer compareYyyy,
Integer targetYyyy,
@@ -255,36 +266,43 @@ public class DatasetDto {
this.datasetId = datasetId;
this.uuid = uuid;
this.dataType = dataType;
this.yyyy = yyyy;
this.dataTypeName = getDataTypeName(dataType);
this.title = title;
this.roundNo = roundNo;
this.compareYyyy = compareYyyy;
this.targetYyyy = targetYyyy;
this.memo = memo;
this.classCount = classCount;
if (modelNo.equals(ModelType.G2.getId())) {
this.wasteCnt = classCount;
} else if (modelNo.equals(ModelType.G3.getId())) {
this.landCoverCnt = classCount;
}
}
public SelectDataSet(
String modelNo,
Long datasetId,
UUID uuid,
String dataType,
String yyyy,
String title,
Long roundNo,
Integer compareYyyy,
Integer targetYyyy,
String memo,
Integer buildingCount,
Integer containerCount) {
Integer buildingCnt,
Integer containerCnt) {
this.datasetId = datasetId;
this.uuid = uuid;
this.dataType = dataType;
this.dataTypeName = getDataTypeName(dataType);
this.yyyy = yyyy;
this.title = title;
this.roundNo = roundNo;
this.compareYyyy = compareYyyy;
this.targetYyyy = targetYyyy;
this.memo = memo;
this.buildingCount = buildingCount;
this.containerCount = containerCount;
this.buildingCnt = buildingCnt;
this.containerCnt = containerCnt;
}
public String getDataTypeName(String groupTitleCd) {
@@ -296,4 +314,222 @@ public class DatasetDto {
return this.compareYyyy + "-" + this.targetYyyy;
}
}
@Schema(name = "SelectTransferDataSet", description = "전이학습 데이터셋 선택 리스트")
@Getter
@Setter
@NoArgsConstructor
public static class SelectTransferDataSet {
private String modelNo; // G1, G2, G3 모델 타입
private Long datasetId;
private UUID uuid;
private String dataType;
private String title;
private Long roundNo;
private Integer compareYyyy;
private Integer targetYyyy;
private String memo;
@JsonIgnore private Long classCount;
private Integer buildingCnt;
private Integer containerCnt;
private String dataTypeName;
private Long wasteCnt;
private Long landCoverCnt;
private String beforeModelNo; // G1, G2, G3 모델 타입
private Long beforeDatasetId;
private UUID beforeUuid;
private String beforeDataType;
private String beforeTitle;
private Long beforeRoundNo;
private Integer beforeCompareYyyy;
private Integer beforeTargetYyyy;
private String beforeMemo;
@JsonIgnore private Long beforeClassCount;
private Integer beforeBuildingCnt;
private Integer beforeContainerCnt;
private String beforeDataTypeName;
private Long beforeWasteCnt;
private Long beforeLandCoverCnt;
public SelectTransferDataSet(
// 현재
String modelNo,
Long datasetId,
UUID uuid,
String dataType,
String title,
Long roundNo,
Integer compareYyyy,
Integer targetYyyy,
String memo,
Long classCount,
// 이전(before)
String beforeModelNo,
Long beforeDatasetId,
UUID beforeUuid,
String beforeDataType,
String beforeTitle,
Long beforeRoundNo,
Integer beforeCompareYyyy,
Integer beforeTargetYyyy,
String beforeMemo,
Long beforeClassCount) {
// 현재
this.modelNo = modelNo;
this.datasetId = datasetId;
this.uuid = uuid;
this.dataType = dataType;
this.dataTypeName = getDataTypeName(dataType);
this.title = title;
this.roundNo = roundNo;
this.compareYyyy = compareYyyy;
this.targetYyyy = targetYyyy;
this.memo = memo;
this.classCount = classCount;
if (modelNo != null && modelNo.equals(ModelType.G2.getId())) {
this.wasteCnt = classCount;
} else if (modelNo != null && modelNo.equals(ModelType.G3.getId())) {
this.landCoverCnt = classCount;
}
// 이전(before)
this.beforeModelNo = beforeModelNo;
this.beforeDatasetId = beforeDatasetId;
this.beforeUuid = beforeUuid;
this.beforeDataType = beforeDataType;
this.beforeDataTypeName = getDataTypeName(beforeDataType);
this.beforeTitle = beforeTitle;
this.beforeRoundNo = beforeRoundNo;
this.beforeCompareYyyy = beforeCompareYyyy;
this.beforeTargetYyyy = beforeTargetYyyy;
this.beforeMemo = beforeMemo;
this.beforeClassCount = beforeClassCount;
if (beforeModelNo != null && beforeModelNo.equals(ModelType.G2.getId())) {
this.beforeWasteCnt = beforeClassCount;
} else if (beforeModelNo != null && beforeModelNo.equals(ModelType.G3.getId())) {
this.beforeLandCoverCnt = beforeClassCount;
}
}
public SelectTransferDataSet(
// 현재
String modelNo,
Long datasetId,
UUID uuid,
String dataType,
String title,
Long roundNo,
Integer compareYyyy,
Integer targetYyyy,
String memo,
Integer buildingCnt,
Integer containerCnt,
// 이전(before)
String beforeModelNo,
Long beforeDatasetId,
UUID beforeUuid,
String beforeDataType,
String beforeTitle,
Long beforeRoundNo,
Integer beforeCompareYyyy,
Integer beforeTargetYyyy,
String beforeMemo,
Integer beforeBuildingCnt,
Integer beforeContainerCnt) {
// 현재
this.modelNo = modelNo;
this.datasetId = datasetId;
this.uuid = uuid;
this.dataType = dataType;
this.dataTypeName = getDataTypeName(dataType);
this.title = title;
this.roundNo = roundNo;
this.compareYyyy = compareYyyy;
this.targetYyyy = targetYyyy;
this.memo = memo;
this.buildingCnt = buildingCnt;
this.containerCnt = containerCnt;
// 이전(before)
this.beforeModelNo = beforeModelNo;
this.beforeDatasetId = beforeDatasetId;
this.beforeUuid = beforeUuid;
this.beforeDataType = beforeDataType;
this.beforeDataTypeName = getDataTypeName(beforeDataType);
this.beforeTitle = beforeTitle;
this.beforeRoundNo = beforeRoundNo;
this.beforeCompareYyyy = beforeCompareYyyy;
this.beforeTargetYyyy = beforeTargetYyyy;
this.beforeMemo = beforeMemo;
this.beforeBuildingCnt = beforeBuildingCnt;
this.beforeContainerCnt = beforeContainerCnt;
}
public String getDataTypeName(String groupTitleCd) {
LearnDataType type = Enums.fromId(LearnDataType.class, groupTitleCd);
return type == null ? null : type.getText();
}
public String getYear() {
return this.compareYyyy + "-" + this.targetYyyy;
}
public String getBeforeYear() {
if (this.beforeCompareYyyy == null || this.beforeTargetYyyy == null) {
return null;
}
return this.beforeCompareYyyy + "-" + this.beforeTargetYyyy;
}
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class DatasetReq {
String modelNo;
String dataType;
UUID uuid;
Long id;
List<Long> ids;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class AddReq {
private String fileName;
private String filePath;
private Long fileSize;
private String memo;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class DatasetMngRegDto {
private String uid;
private String dataType;
private Integer compareYyyy;
private Integer targetYyyy;
private Long roundNo;
private String title;
private String memo;
private Long totalSize;
private Long totalObjectCount;
private String datasetPath;
}
}

View File

@@ -1,10 +1,16 @@
package com.kamco.cd.training.dataset.dto;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.kamco.cd.training.common.enums.DetectionClassification;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import java.time.ZonedDateTime;
import java.util.UUID;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
@@ -37,6 +43,8 @@ public class DatasetObjDto {
private Long createdUid;
private Boolean deleted;
private UUID uuid;
@JsonIgnore private String geoJsonb;
private JsonNode geoJson;
public Basic(
Long objId,
@@ -53,7 +61,8 @@ public class DatasetObjDto {
ZonedDateTime createdDttm,
Long createdUid,
Boolean deleted,
UUID uuid) {
UUID uuid,
String geoJsonb) {
this.objId = objId;
this.datasetUid = datasetUid;
this.targetYyyy = targetYyyy;
@@ -69,6 +78,19 @@ public class DatasetObjDto {
this.createdUid = createdUid;
this.deleted = deleted;
this.uuid = uuid;
this.geoJsonb = geoJsonb;
JsonNode geoJsonNode = null;
ObjectMapper mapper = new ObjectMapper();
if (geoJsonb != null) {
try {
geoJsonNode = mapper.readTree(geoJsonb);
} catch (JsonProcessingException e) {
throw new RuntimeException(e);
}
}
this.geoJson = geoJsonNode;
}
}
@@ -78,18 +100,12 @@ public class DatasetObjDto {
@NoArgsConstructor
@AllArgsConstructor
public static class SearchReq {
@Schema(description = "회차 uuid", example = "35e20bb2-9014-4c9d-abe2-9046db5f930c")
@Schema(description = "회차 uuid", example = "e9a6774b-4f81-4402-b080-51d27fac1f01")
private UUID uuid;
@Schema(description = "비교년도", example = "2021")
private Integer compareYyyy;
@Schema(description = "비교년도분류", example = "waste")
private String compareClassCd;
@Schema(description = "기준년도", example = "2022")
private Integer targetYyyy;
@Schema(description = "기준년도분류", example = "land")
private String targetClassCd;
@@ -103,9 +119,45 @@ public class DatasetObjDto {
private int size = 20;
public Pageable toPageable() {
// API에서는 1부터 시작하지만 내부적으로는 0부터 시작
int pageIndex = Math.max(0, page - 1);
return PageRequest.of(pageIndex, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
return PageRequest.of(page, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
}
}
@Getter
@Setter
@AllArgsConstructor
@NoArgsConstructor
public static class DatasetClass {
private String classCd;
public String getClassName() {
return DetectionClassification.valueOf(classCd.toUpperCase()).getDesc();
}
}
@Getter
@Setter
public static class DatasetStorage {
private String usableBytes;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class DatasetObjRegDto {
private Long datasetUid;
private Integer compareYyyy;
private String compareClassCd;
private Integer targetYyyy;
private String targetClassCd;
private String comparePath;
private String targetPath;
private String labelPath;
private String geojsonPath;
private String mapSheetNum;
private JsonNode geojson;
private String fileName;
}
}

View File

@@ -1,26 +1,68 @@
package com.kamco.cd.training.dataset.service;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ArrayNode;
import com.fasterxml.jackson.databind.node.ObjectNode;
import com.kamco.cd.training.common.enums.LearnDataType;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.common.service.FormatStorage;
import com.kamco.cd.training.common.utils.FIleChecker;
import com.kamco.cd.training.config.api.ApiResponseDto.ApiResponseCode;
import com.kamco.cd.training.config.api.ApiResponseDto.ResponseObj;
import com.kamco.cd.training.dataset.dto.DatasetDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.dataset.dto.DatasetDto.AddReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetObjRegDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetStorage;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.SearchReq;
import com.kamco.cd.training.postgres.core.DatasetCoreService;
import jakarta.validation.Valid;
import java.io.IOException;
import java.io.InputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.UUID;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.core.io.InputStreamResource;
import org.springframework.core.io.Resource;
import org.springframework.data.domain.Page;
import org.springframework.http.HttpHeaders;
import org.springframework.http.HttpStatus;
import org.springframework.http.MediaType;
import org.springframework.http.ResponseEntity;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Slf4j
@Service
@RequiredArgsConstructor
@Transactional(readOnly = true)
@Transactional
public class DatasetService {
private final DatasetCoreService datasetCoreService;
@Value("${file.dataset-dir}")
private String datasetDir;
private static final List<String> LABEL_DIRS = List.of("label-json", "label", "input1", "input2");
private static final List<String> REQUIRED_DIRS = Arrays.asList("train", "val", "test");
private static final List<String> CHECK_DIRS = List.of("label", "input1", "input2");
/**
* 데이터셋 목록 조회
*
@@ -96,11 +138,372 @@ public class DatasetService {
return datasetCoreService.deleteDatasetObjByUuid(uuid);
}
public List<SelectDataSet> getDatasetSelectList(String modelType, String selectType) {
if (modelType.equals("M1")) {
return datasetCoreService.getDatasetSelectM1List(modelType, selectType);
/**
* 데이터셋 object class 조회
*
* @param uuid dataset uuid
* @param type compare, target
*/
public List<DatasetClass> getDatasetObjByUuid(UUID uuid, String type) {
return datasetCoreService.findDatasetObjClassByUuid(uuid, type);
}
/**
* 사용 가능 공간 조회
*
* @return
*/
public DatasetStorage getUsableBytes() {
// 현재 실행 위치가 속한 디스크 기준
try {
FormatStorage.DiskUsage usage = FormatStorage.getDiskUsage(Path.of("."));
log.debug("경로 : {}", usage.path());
log.debug("총 저장공간 : {}", usage.totalText());
log.debug("남은 저장공간 : {}", usage.usableText());
log.debug("사용률 : {}", usage.usedPercent());
DatasetStorage datasetStorage = new DatasetStorage();
datasetStorage.setUsableBytes(usage.usableText());
return datasetStorage;
} catch (Exception e) {
throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND);
}
}
@Transactional
public ResponseObj insertDataset(@Valid AddReq addReq) {
Long datasetUid = null; // master id 값, 등록하면서 가져올 예정
try {
// 같은 uid 로 등록한 파일이 있는지 확인
Long existsCnt =
datasetCoreService.findDatasetByUidExistsCnt(addReq.getFileName().replace(".zip", ""));
if (existsCnt > 0) {
return new ResponseObj(ApiResponseCode.DUPLICATE_DATA, "이미 등록된 회차 데이터 파일입니다. 확인 부탁드립니다.");
}
// 압축 해제
FIleChecker.unzip(addReq.getFileName(), addReq.getFilePath());
// 압축 해제한 폴더 하위에 train,val,test 폴더 모두 존재하는지 확인
validateTrainValTestDirs(addReq.getFilePath() + addReq.getFileName().replace(".zip", ""));
// 압축 해제한 폴더의 갯수 맞는지 log 찍기
validateDirFileCount(addReq.getFilePath() + addReq.getFileName().replace(".zip", ""));
// 해제한 폴더 읽어서 데이터 저장
List<Map<String, Object>> list =
getUnzipDatasetFiles(
addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "train");
int idx = 0;
for (Map<String, Object> map : list) {
datasetUid =
this.insertTrainTestData(map, addReq, idx, datasetUid, "train"); // train 데이터 insert
idx++;
}
List<Map<String, Object>> valList =
getUnzipDatasetFiles(
addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "val");
int valIdx = 0;
for (Map<String, Object> valid : valList) {
datasetUid =
this.insertTrainTestData(valid, addReq, valIdx, datasetUid, "val"); // val 데이터 insert
valIdx++;
}
List<Map<String, Object>> testList =
getUnzipDatasetFiles(
addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "test");
int testIdx = 0;
for (Map<String, Object> test : testList) {
datasetUid =
this.insertTrainTestData(test, addReq, testIdx, datasetUid, "test"); // test 데이터 insert
testIdx++;
}
} catch (IOException e) {
log.error(e.getMessage());
return new ResponseObj(ApiResponseCode.INTERNAL_SERVER_ERROR, e.getMessage());
}
datasetCoreService.updateDatasetUploadStatus(datasetUid);
return new ResponseObj(ApiResponseCode.OK, "업로드 성공하였습니다.");
}
@Transactional
public Long insertTrainTestData(
Map<String, Object> map, AddReq addReq, int idx, Long datasetUid, String subDir) {
ObjectMapper mapper = new ObjectMapper();
String comparePath = (String) map.get("input1");
String targetPath = (String) map.get("input2");
String labelPath = (String) map.get("label");
String geojsonPath = (String) map.get("geojson_path");
Object labelJson = map.get("label-json");
JsonNode json;
if (labelJson instanceof JsonNode jn) {
json = jn;
} else {
return datasetCoreService.getDatasetSelectM2M3List(modelType, selectType);
try {
json = mapper.readTree(labelJson.toString());
} catch (IOException e) {
throw new RuntimeException("label_json parse error", e);
}
}
String fileName = Paths.get(comparePath).getFileName().toString();
String[] fileNameStr = fileName.split("_");
String compareYyyy = fileNameStr[1];
String targetYyyy = fileNameStr[2];
String mapSheetNum = fileNameStr[3];
if (idx == 0 && subDir.equals("train")) {
String title = compareYyyy + "-" + targetYyyy; // 제목 : 비교년도-기준년도
String dataType = LearnDataType.PRODUCTION.getId(); // 만들어 넣는 건 다 제작
Long stage =
datasetCoreService.getDatasetMaxStage(
Integer.parseInt(compareYyyy), Integer.parseInt(targetYyyy))
+ 1;
String uid = addReq.getFileName().replace(".zip", "");
DatasetMngRegDto mngRegDto =
DatasetMngRegDto.builder()
.uid(uid)
.dataType(dataType)
.compareYyyy(Integer.parseInt(compareYyyy))
.targetYyyy(Integer.parseInt(targetYyyy))
.title(title)
.memo(addReq.getMemo())
.roundNo(stage)
.totalSize(addReq.getFileSize())
.datasetPath(addReq.getFilePath())
.build();
datasetUid = datasetCoreService.insertDatasetMngData(mngRegDto); // tb_dataset 에 insert
}
// datasetUid 로 obj 도 등록하기
// Json 갯수만큼 for문 돌려서 insert 해야 함, features에 빈값
if (json != null && json.path("features") != null && !json.path("features").isEmpty()) {
for (JsonNode feature : json.path("features")) {
JsonNode prop = feature.path("properties");
String compareClassCd = prop.path("before").asText(null);
String targetClassCd = prop.path("after").asText(null);
// 한 개씩 자른 geojson을 FeatureCollection 으로 만들어서 넣기
ObjectNode root = mapper.createObjectNode();
root.put("type", "FeatureCollection");
ArrayNode features = mapper.createArrayNode();
features.add(feature);
root.set("features", features);
DatasetObjRegDto objRegDto =
DatasetObjRegDto.builder()
.datasetUid(datasetUid)
.compareYyyy(Integer.parseInt(compareYyyy))
.compareClassCd(compareClassCd)
.targetYyyy(Integer.parseInt(targetYyyy))
.targetClassCd(targetClassCd)
.comparePath(comparePath)
.targetPath(targetPath)
.labelPath(labelPath)
.mapSheetNum(mapSheetNum)
.geojson(root)
.geojsonPath(geojsonPath)
.fileName(fileName)
.build();
if (subDir.equals("train")) {
datasetCoreService.insertDatasetObj(objRegDto);
} else if (subDir.equals("val")) {
datasetCoreService.insertDatasetValObj(objRegDto);
} else {
datasetCoreService.insertDatasetTestObj(objRegDto);
}
}
}
return datasetUid;
}
private List<Map<String, Object>> getUnzipDatasetFiles(String unzipRootPath, String subDir) {
Path root = Paths.get(unzipRootPath).resolve(subDir);
Map<String, Map<String, Object>> grouped = new HashMap<>();
for (String dirName : LABEL_DIRS) {
Path dir = root.resolve(dirName);
if (!Files.isDirectory(dir)) {
throw new CustomApiException(
ApiResponseCode.NOT_FOUND_DATA.getId(),
HttpStatus.CONFLICT,
"폴더가 존재하지 않습니다. 업로드 된 파일을 확인하세요. : " + dir);
}
try (Stream<Path> stream = Files.list(dir)) {
stream
.filter(Files::isRegularFile)
.forEach(
path -> {
String fileName = path.getFileName().toString();
String baseName = getBaseName(fileName);
// baseName 기준 Map 생성
Map<String, Object> data =
grouped.computeIfAbsent(baseName, k -> new HashMap<>());
// 공통 메타
data.put("baseName", baseName);
// 폴더별 처리
if ("label-json".equals(dirName)) {
// json 파일이면 파싱
data.put("label-json", readJson(path));
data.put("geojson_path", path.toAbsolutePath().toString());
} else {
data.put(dirName, path.toAbsolutePath().toString());
}
});
} catch (IOException e) {
throw new RuntimeException(e);
}
}
return new ArrayList<>(grouped.values());
}
private String getBaseName(String fileName) {
int idx = fileName.lastIndexOf('.');
return (idx > 0) ? fileName.substring(0, idx) : fileName;
}
private JsonNode readJson(Path jsonPath) {
try {
ObjectMapper mapper = new ObjectMapper();
return mapper.readTree(jsonPath.toFile());
} catch (IOException e) {
throw new RuntimeException("JSON 읽기 실패: " + jsonPath, e);
}
}
public String getFilePathByUUIDPathType(UUID uuid, String pathType) {
return datasetCoreService.getFilePathByUUIDPathType(uuid, pathType);
}
private String escape(String path) {
// 쉘 커맨드에서 안전하게 사용할 수 있도록 문자열을 작은따옴표로 감싸면서, 내부의 작은따옴표를 이스케이프 처리
return "'" + path.replace("'", "'\"'\"'") + "'";
}
private static String normalizeLinuxPath(String path) {
return path.replace("\\", "/");
}
public ResponseEntity<Resource> getFilePathByFile(String remoteFilePath) {
try {
Path path = Paths.get(remoteFilePath);
InputStream inputStream = Files.newInputStream(path);
InputStreamResource resource =
new InputStreamResource(inputStream) {
@Override
public long contentLength() {
return -1; // 알 수 없으면 -1
}
};
String fileName = Paths.get(remoteFilePath.replace("\\", "/")).getFileName().toString();
return ResponseEntity.ok()
.header(HttpHeaders.CONTENT_DISPOSITION, "attachment; filename=\"" + fileName + "\"")
.contentType(MediaType.APPLICATION_OCTET_STREAM)
.body(resource);
} catch (Exception e) {
throw new RuntimeException(e);
}
}
/** unzipRootDir: 압축 해제된 폴더 경로 (ex: /data/xxx/myzipname) */
public static void validateTrainValTestDirs(String unzipRootDir) {
Path root = Paths.get(unzipRootDir);
// 루트 폴더 자체 존재 확인
if (!Files.exists(root) || !Files.isDirectory(root)) {
throw new CustomApiException(
ApiResponseCode.NOT_FOUND_DATA.getId(),
HttpStatus.CONFLICT,
"압축 해제 폴더가 존재하지 않습니다: " + unzipRootDir);
}
// 필요한 폴더들 존재/디렉토리 여부 확인
List<String> missing =
REQUIRED_DIRS.stream()
.filter(d -> !Files.isDirectory(root.resolve(d)))
.collect(Collectors.toList());
if (!missing.isEmpty()) {
throw new CustomApiException(
ApiResponseCode.NOT_FOUND_DATA.getId(),
HttpStatus.CONFLICT,
"데이터 폴더 구조가 올바르지 않습니다. 누락된 폴더: "
+ String.join(", ", missing)
+ " (필수: train, val, test)");
}
}
public static void validateDirFileCount(String unzipRootDir) {
Path root = Paths.get(unzipRootDir);
for (String split : REQUIRED_DIRS) {
Path splitPath = root.resolve(split);
Map<String, Long> fileCountMap = new HashMap<>();
for (String subDir : CHECK_DIRS) { // input1, input2, label 폴더만 수행하기
Path subDirPath = splitPath.resolve(subDir);
if (!Files.isDirectory(subDirPath)) {
throw new CustomApiException(
ApiResponseCode.NOT_FOUND_DATA.getId(),
HttpStatus.CONFLICT,
split + " 폴더 하위에 " + subDir + " 폴더가 존재하지 않습니다.");
}
long count;
try (Stream<Path> files = Files.list(subDirPath)) {
count = files.filter(Files::isRegularFile).count();
log.info("dir: " + subDirPath + ", count: " + count);
} catch (IOException e) {
throw new CustomApiException(
ApiResponseCode.NOT_FOUND_DATA.getId(),
HttpStatus.CONFLICT,
split + "/" + subDir + " 파일 개수 확인 중 오류 발생");
}
fileCountMap.put(subDir, count);
}
// 모든 폴더 파일 개수가 동일한지 확인
Set<Long> uniqueCounts = new HashSet<>(fileCountMap.values());
if (uniqueCounts.size() != 1) {
throw new CustomApiException(
ApiResponseCode.NOT_FOUND_DATA.getId(),
HttpStatus.CONFLICT,
split + " 데이터 파일 개수가 일치하지 않습니다. " + fileCountMap.toString());
}
}
}
}

View File

@@ -1,10 +1,11 @@
package com.kamco.cd.training.hyperparam;
import com.kamco.cd.training.common.dto.HyperParam;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.List;
import com.kamco.cd.training.hyperparam.service.HyperParamService;
import com.kamco.cd.training.model.dto.ModelMngDto;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.Parameter;
import io.swagger.v3.oas.annotations.media.Content;
@@ -49,8 +50,7 @@ public class HyperParamApiController {
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping
public ApiResponseDto<String> createHyperParam(
@Valid @RequestBody HyperParamDto.HyperParamCreateReq createReq) {
public ApiResponseDto<String> createHyperParam(@Valid @RequestBody HyperParam createReq) {
String newVersion = hyperParamService.createHyperParam(createReq);
return ApiResponseDto.ok(newVersion);
}
@@ -66,11 +66,12 @@ public class HyperParamApiController {
mediaType = "application/json",
schema = @Schema(implementation = String.class))),
@ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
@ApiResponse(responseCode = "422", description = "default는 삭제불가", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PutMapping("/{uuid}")
public ApiResponseDto<String> updateHyperParam(
@PathVariable UUID uuid, @Valid @RequestBody HyperParamDto.HyperParamCreateReq createReq) {
@PathVariable UUID uuid, @Valid @RequestBody HyperParam createReq) {
return ApiResponseDto.ok(hyperParamService.updateHyperParam(uuid, createReq));
}
@@ -96,10 +97,13 @@ public class HyperParamApiController {
String type,
@Parameter(description = "시작일", example = "2026-02-01") @RequestParam(required = false)
LocalDate startDate,
@Parameter(description = "종료일", example = "2026-02-28") @RequestParam(required = false)
@Parameter(description = "종료일", example = "2026-03-31") @RequestParam(required = false)
LocalDate endDate,
@Parameter(description = "버전명", example = "HPs_0001") @RequestParam(required = false)
@Parameter(description = "버전명", example = "G1_000019") @RequestParam(required = false)
String hyperVer,
@Parameter(description = "모델 타입 (G1, G2, G3 중 하나)", example = "G1")
@RequestParam(required = false)
ModelType model,
@Parameter(
description = "정렬",
example = "createdDttm desc",
@@ -124,7 +128,7 @@ public class HyperParamApiController {
searchReq.setSort(sort);
searchReq.setPage(page);
searchReq.setSize(size);
Page<List> list = hyperParamService.getHyperParamList(searchReq);
Page<List> list = hyperParamService.getHyperParamList(model, searchReq);
return ApiResponseDto.ok(list);
}
@@ -133,12 +137,12 @@ public class HyperParamApiController {
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
@ApiResponse(responseCode = "409", description = "HPs_0001 삭제 불가", content = @Content),
@ApiResponse(responseCode = "422", description = "default 삭제 불가", content = @Content),
@ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
})
@DeleteMapping("/{uuid}")
public ApiResponseDto<Void> deleteHyperParam(
@Parameter(description = "하이퍼파라미터 uuid", example = "c3b5a285-8f68-42af-84f0-e6d09162deb5")
@Parameter(description = "하이퍼파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
@PathVariable
UUID uuid) {
hyperParamService.deleteHyperParam(uuid);
@@ -154,13 +158,13 @@ public class HyperParamApiController {
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = ModelMngDto.HyperParamInfo.class))),
schema = @Schema(implementation = HyperParamDto.Basic.class))),
@ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/{uuid}")
public ApiResponseDto<HyperParamDto.Basic> getHyperParam(
@Parameter(description = "하이퍼파라미터 uuid", example = "c3b5a285-8f68-42af-84f0-e6d09162deb5")
@Parameter(description = "하이퍼파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(hyperParamService.getHyperParam(uuid));
@@ -179,8 +183,9 @@ public class HyperParamApiController {
@ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/init")
public ApiResponseDto<HyperParamDto.Basic> getInitHyperParam() {
return ApiResponseDto.ok(hyperParamService.getInitHyperParam());
@GetMapping("/init/{model}")
public ApiResponseDto<HyperParamDto.Basic> getInitHyperParam(@PathVariable ModelType model) {
return ApiResponseDto.ok(hyperParamService.getInitHyperParam(model));
}
}

View File

@@ -1,5 +1,6 @@
package com.kamco.cd.training.hyperparam.dto;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.common.utils.enums.CodeExpose;
import com.kamco.cd.training.common.utils.enums.EnumType;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
@@ -24,9 +25,12 @@ public class HyperParamDto {
@AllArgsConstructor
public static class Basic {
private ModelType model; // 20250212 modeltype추가
private UUID uuid;
private String hyperVer;
@JsonFormatDttm private ZonedDateTime createdDttm;
@JsonFormatDttm private ZonedDateTime lastUsedDttm;
private Integer totalUseCnt;
// -------------------------
// Important
@@ -98,6 +102,8 @@ public class HyperParamDto {
private Integer gpuCnt;
private String gpuIds;
private Integer masterPort;
private Boolean isDefault;
}
@Getter
@@ -106,162 +112,12 @@ public class HyperParamDto {
@AllArgsConstructor
public static class List {
private UUID uuid;
private ModelType model;
private String hyperVer;
@JsonFormatDttm private ZonedDateTime createDttm;
@JsonFormatDttm private ZonedDateTime lastUsedDttm;
private Long m1UseCnt;
private Long m2UseCnt;
private Long m3UseCnt;
private Long totalCnt;
}
@Schema(name = "HyperParamCreateReq", description = "하이퍼파라미터 등록 요청")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class HyperParamCreateReq {
// -------------------------
// Important
// -------------------------
@Schema(description = "백본 네트워크", example = "large")
private String backbone; // backbone
@Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
private String inputSize; // input_size
@Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
private String cropSize; // crop_size
@Schema(description = "배치 크기(Per GPU)", example = "16")
private Integer batchSize; // batch_size
// -------------------------
// Data
// -------------------------
@Schema(description = "Train dataloader workers", example = "16")
private Integer trainNumWorkers; // train_num_workers
@Schema(description = "Val dataloader workers", example = "8")
private Integer valNumWorkers; // val_num_workers
@Schema(description = "Test dataloader workers", example = "8")
private Integer testNumWorkers; // test_num_workers
@Schema(description = "Train shuffle 여부", example = "true")
private Boolean trainShuffle; // train_shuffle
@Schema(description = "Train persistent workers 여부", example = "true")
private Boolean trainPersistent; // train_persistent
@Schema(description = "Val persistent workers 여부", example = "true")
private Boolean valPersistent; // val_persistent
// -------------------------
// Model Architecture
// -------------------------
@Schema(description = "Drop Path 비율", example = "0.3")
private Double dropPathRate; // drop_path_rate
@Schema(description = "Freeze 단계(-1:None)", example = "-1")
private Integer frozenStages; // frozen_stages
@Schema(description = "Neck 결합 정책", example = "abs_diff")
private String neckPolicy; // neck_policy
@Schema(description = "디코더 채널 구성", example = "512,256,128,64")
private String decoderChannels; // decoder_channels
@Schema(description = "클래스별 가중치", example = "1,10")
private String classWeight; // class_weight
// -------------------------
// Loss & Optimization
// -------------------------
@Schema(description = "학습률", example = "0.00006")
private Double learningRate; // learning_rate
@Schema(description = "Weight Decay", example = "0.05")
private Double weightDecay; // weight_decay
@Schema(description = "Layer Decay Rate", example = "0.9")
private Double layerDecayRate; // layer_decay_rate
@Schema(description = "DDP unused params 탐색 여부", example = "true")
private Boolean ddpFindUnusedParams; // ddp_find_unused_params
@Schema(description = "Loss 계산 제외 인덱스", example = "255")
private Integer ignoreIndex; // ignore_index
@Schema(description = "레이어 깊이", example = "24")
private Integer numLayers; // num_layers
// -------------------------
// Evaluation
// -------------------------
@Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
private String metrics; // metrics
@Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
private String saveBest; // save_best
@Schema(description = "Best 모델 선정 규칙", example = "less")
private String saveBestRule; // save_best_rule
@Schema(description = "검증 수행 주기(Epoch)", example = "10")
private Integer valInterval; // val_interval
@Schema(description = "로그 기록 주기(Iteration)", example = "400")
private Integer logInterval; // log_interval
@Schema(description = "시각화 저장 주기(Epoch)", example = "1")
private Integer visInterval; // vis_interval
// -------------------------
// Augmentation
// -------------------------
@Schema(description = "회전 적용 확률", example = "0.5")
private Double rotProb; // rot_prob
@Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
private String rotDegree; // rot_degree
@Schema(description = "반전 적용 확률", example = "0.5")
private Double flipProb; // flip_prob
@Schema(description = "채널 교환 확률", example = "0.5")
private Double exchangeProb; // exchange_prob
@Schema(description = "밝기 변화량", example = "10")
private Integer brightnessDelta; // brightness_delta
@Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
private String contrastRange; // contrast_range
@Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
private String saturationRange; // saturation_range
@Schema(description = "색조 변화량", example = "10")
private Integer hueDelta; // hue_delta
// -------------------------
// Hardware
// -------------------------
@Schema(description = "사용 GPU 개수", example = "4")
private Integer gpuCnt; // gpu_cnt
@Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
private String gpuIds; // gpu_ids
@Schema(description = "분산학습 마스터 포트", example = "1122")
private Integer masterPort; // master_port
// -------------------------
// Memo
// -------------------------
@Schema(description = "메모", example = "하이퍼파라미터 신규등록")
private String memo; // memo
private String memo;
private Integer totalUseCnt;
}
@Getter

View File

@@ -1,7 +1,10 @@
package com.kamco.cd.training.hyperparam.service;
import com.kamco.cd.training.common.dto.HyperParam;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.List;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
import com.kamco.cd.training.postgres.core.HyperParamCoreService;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
@@ -19,11 +22,12 @@ public class HyperParamService {
/**
* 하이퍼 파라미터 목록 조회
*
* @param model
* @param req
* @return 목록
*/
public Page<List> getHyperParamList(HyperParamDto.SearchReq req) {
return hyperParamCoreService.findByHyperVerList(req);
public Page<List> getHyperParamList(ModelType model, SearchReq req) {
return hyperParamCoreService.findByHyperVerList(model, req);
}
/**
@@ -33,8 +37,8 @@ public class HyperParamService {
* @return 생성된 버전명
*/
@Transactional
public String createHyperParam(HyperParamDto.HyperParamCreateReq createReq) {
return hyperParamCoreService.createHyperParam(createReq);
public String createHyperParam(HyperParam createReq) {
return hyperParamCoreService.createHyperParam(createReq).getHyperVer();
}
/**
@@ -44,7 +48,7 @@ public class HyperParamService {
* @return
*/
@Transactional
public String updateHyperParam(UUID uuid, HyperParamDto.HyperParamCreateReq createReq) {
public String updateHyperParam(UUID uuid, HyperParam createReq) {
return hyperParamCoreService.updateHyperParam(uuid, createReq);
}
@@ -58,8 +62,8 @@ public class HyperParamService {
}
/** 하이퍼파라미터 최적화 설정값 조회 */
public HyperParamDto.Basic getInitHyperParam() {
return hyperParamCoreService.getInitHyperParam();
public HyperParamDto.Basic getInitHyperParam(ModelType model) {
return hyperParamCoreService.getInitHyperParam(model);
}
/**

View File

@@ -0,0 +1,99 @@
package com.kamco.cd.training.log;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.log.dto.AuditLogDto;
import com.kamco.cd.training.log.service.AuditLogService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
import java.time.LocalDate;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
@Tag(name = "감사 로그", description = "감사 로그 관리 API")
@RequiredArgsConstructor
@RestController
@RequestMapping("/api/logs/audit")
public class AuditLogApiController {
private final AuditLogService auditLogService;
@Operation(summary = "일자별 로그 조회")
@GetMapping("/daily")
public ApiResponseDto<Page<AuditLogDto.DailyAuditList>> getDailyLogs(
@RequestParam(required = false) LocalDate startDate,
@RequestParam(required = false) LocalDate endDate,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
AuditLogDto.searchReq searchReq = new AuditLogDto.searchReq(page, size, "created_dttm,desc");
Page<AuditLogDto.DailyAuditList> result =
auditLogService.getLogByDaily(searchReq, startDate, endDate);
return ApiResponseDto.ok(result);
}
@Operation(summary = "일자별 로그 상세")
@GetMapping("/daily/result")
public ApiResponseDto<Page<AuditLogDto.DailyDetail>> getDailyResultLogs(
@RequestParam LocalDate logDate,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
AuditLogDto.searchReq searchReq = new AuditLogDto.searchReq(page, size, "created_dttm,desc");
Page<AuditLogDto.DailyDetail> result = auditLogService.getLogByDailyResult(searchReq, logDate);
return ApiResponseDto.ok(result);
}
@Operation(summary = "메뉴별 로그 조회")
@GetMapping("/menu")
public ApiResponseDto<Page<AuditLogDto.MenuAuditList>> getMenuLogs(
@RequestParam(required = false) String searchValue,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
AuditLogDto.searchReq searchReq = new AuditLogDto.searchReq(page, size, "created_dttm,desc");
Page<AuditLogDto.MenuAuditList> result = auditLogService.getLogByMenu(searchReq, searchValue);
return ApiResponseDto.ok(result);
}
@Operation(summary = "메뉴별 로그 상세")
@GetMapping("/menu/result")
public ApiResponseDto<Page<AuditLogDto.MenuDetail>> getMenuResultLogs(
@RequestParam String menuId,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
AuditLogDto.searchReq searchReq = new AuditLogDto.searchReq(page, size, "created_dttm,desc");
Page<AuditLogDto.MenuDetail> result = auditLogService.getLogByMenuResult(searchReq, menuId);
return ApiResponseDto.ok(result);
}
@Operation(summary = "사용자별 로그 조회")
@GetMapping("/account")
public ApiResponseDto<Page<AuditLogDto.UserAuditList>> getAccountLogs(
@RequestParam(required = false) String searchValue,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
AuditLogDto.searchReq searchReq = new AuditLogDto.searchReq(page, size, "created_dttm,desc");
Page<AuditLogDto.UserAuditList> result =
auditLogService.getLogByAccount(searchReq, searchValue);
return ApiResponseDto.ok(result);
}
@Operation(summary = "사용자별 로그 상세")
@GetMapping("/account/result")
public ApiResponseDto<Page<AuditLogDto.UserDetail>> getAccountResultLogs(
@RequestParam Long userUid,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
AuditLogDto.searchReq searchReq = new AuditLogDto.searchReq(page, size, "created_dttm,desc");
Page<AuditLogDto.UserDetail> result = auditLogService.getLogByAccountResult(searchReq, userUid);
return ApiResponseDto.ok(result);
}
}

View File

@@ -0,0 +1,40 @@
package com.kamco.cd.training.log;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.log.dto.ErrorLogDto;
import com.kamco.cd.training.log.dto.EventType;
import com.kamco.cd.training.log.service.ErrorLogService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
import java.time.LocalDate;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
@Tag(name = "에러 로그", description = "에러 로그 관리 API")
@RequiredArgsConstructor
@RestController
@RequestMapping({"/api/logs/system"})
public class ErrorLogApiController {
private final ErrorLogService errorLogService;
@Operation(summary = "에러로그 조회")
@GetMapping("/error")
public ApiResponseDto<Page<ErrorLogDto.Basic>> getErrorLogs(
@RequestParam(required = false) ErrorLogDto.LogErrorLevel logErrorLevel,
@RequestParam(required = false) EventType eventType,
@RequestParam(required = false) LocalDate startDate,
@RequestParam(required = false) LocalDate endDate,
@RequestParam int page,
@RequestParam(defaultValue = "20") int size) {
ErrorLogDto.ErrorSearchReq searchReq =
new ErrorLogDto.ErrorSearchReq(
logErrorLevel, eventType, startDate, endDate, page, size, "created_dttm,desc");
Page<ErrorLogDto.Basic> result = errorLogService.findLogByError(searchReq);
return ApiResponseDto.ok(result);
}
}

View File

@@ -3,7 +3,9 @@ package com.kamco.cd.training.log.dto;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import java.time.LocalDate;
import java.time.ZonedDateTime;
import java.util.UUID;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.NoArgsConstructor;
@@ -58,6 +60,7 @@ public class AuditLogDto {
@Getter
@AllArgsConstructor
public static class AuditCommon {
private int readCount;
private int cudCount;
private int printCount;
@@ -68,6 +71,7 @@ public class AuditLogDto {
@Schema(name = "DailyAuditList", description = "일자별 목록")
@Getter
public static class DailyAuditList extends AuditCommon {
private final String baseDate;
public DailyAuditList(
@@ -85,6 +89,7 @@ public class AuditLogDto {
@Schema(name = "MenuAuditList", description = "메뉴별 목록")
@Getter
public static class MenuAuditList extends AuditCommon {
private final String menuId;
private final String menuName;
@@ -105,6 +110,7 @@ public class AuditLogDto {
@Schema(name = "UserAuditList", description = "사용자별 목록")
@Getter
public static class UserAuditList extends AuditCommon {
private final Long accountId;
private final String loginId;
private final String username;
@@ -129,6 +135,7 @@ public class AuditLogDto {
@Getter
@AllArgsConstructor
public static class AuditDetail {
private Long logId;
private EventType eventType;
private LogDetail detail;
@@ -137,9 +144,11 @@ public class AuditLogDto {
@Schema(name = "DailyDetail", description = "일자별 로그 상세")
@Getter
public static class DailyDetail extends AuditDetail {
private final String userName;
private final String loginId;
private final String menuName;
private final String logDateTime;
public DailyDetail(
Long logId,
@@ -147,17 +156,20 @@ public class AuditLogDto {
String loginId,
String menuName,
EventType eventType,
String logDateTime,
LogDetail detail) {
super(logId, eventType, detail);
this.userName = userName;
this.loginId = loginId;
this.menuName = menuName;
this.logDateTime = logDateTime;
}
}
@Schema(name = "MenuDetail", description = "메뉴별 로그 상세")
@Getter
public static class MenuDetail extends AuditDetail {
private final String logDateTime;
private final String userName;
private final String loginId;
@@ -179,6 +191,7 @@ public class AuditLogDto {
@Schema(name = "UserDetail", description = "사용자별 로그 상세")
@Getter
public static class UserDetail extends AuditDetail {
private final String logDateTime;
private final String menuNm;
@@ -194,6 +207,7 @@ public class AuditLogDto {
@Setter
@AllArgsConstructor
public static class LogDetail {
String serviceName;
String parentMenuName;
String menuName;
@@ -226,4 +240,26 @@ public class AuditLogDto {
return PageRequest.of(page, size);
}
}
@Getter
@Setter
public static class DownloadReq {
UUID uuid;
LocalDate startDate;
LocalDate endDate;
String searchValue;
String menuId;
String requestUri;
}
@Getter
@Setter
@AllArgsConstructor
public static class DownloadRes {
String name;
String employeeNo;
@JsonFormatDttm ZonedDateTime downloadDttm;
}
}

View File

@@ -1,5 +1,6 @@
package com.kamco.cd.training.log.dto;
import com.kamco.cd.training.common.utils.enums.CodeExpose;
import com.kamco.cd.training.common.utils.enums.EnumType;
import io.swagger.v3.oas.annotations.media.Schema;
import java.time.LocalDate;
@@ -77,6 +78,7 @@ public class ErrorLogDto {
}
}
@CodeExpose
public enum LogErrorLevel implements EnumType {
WARNING("Warning"),
ERROR("Error"),

View File

@@ -1,22 +1,35 @@
package com.kamco.cd.training.log.dto;
import com.kamco.cd.training.common.utils.enums.CodeExpose;
import com.kamco.cd.training.common.utils.enums.EnumType;
import lombok.AllArgsConstructor;
import lombok.Getter;
@CodeExpose
@Getter
@AllArgsConstructor
public enum EventType implements EnumType {
CREATE("생성"),
READ("조회"),
UPDATE("수정"),
DELETE("삭제"),
LIST("목록"),
DETAIL("상세"),
POPUP("팝업"),
STATUS("상태"),
ADDED("추가"),
MODIFIED("수정"),
REMOVE("삭제"),
DOWNLOAD("다운로드"),
PRINT("출력"),
LOGIN("로그인"),
OTHER("기타");
private final String desc;
public static EventType fromName(String name) {
try {
return EventType.valueOf(name.toUpperCase());
} catch (Exception e) {
return OTHER;
}
}
@Override
public String getId() {
return name();

View File

@@ -1,262 +0,0 @@
package com.kamco.cd.training.model;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.model.dto.ModelTrainDto;
import com.kamco.cd.training.model.dto.ModelTrainDto.Basic;
import com.kamco.cd.training.model.service.ModelMngService;
import com.kamco.cd.training.model.service.ModelTrainService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.Parameter;
import io.swagger.v3.oas.annotations.media.Content;
import io.swagger.v3.oas.annotations.media.Schema;
import io.swagger.v3.oas.annotations.responses.ApiResponse;
import io.swagger.v3.oas.annotations.responses.ApiResponses;
import io.swagger.v3.oas.annotations.tags.Tag;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.web.bind.annotation.DeleteMapping;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequiredArgsConstructor
@Tag(name = "모델학습 관리", description = "어드민 홈 > 모델학습관리 > 모델관리 > 목록")
@RequestMapping("/api/models")
public class ModelMngApiController {
private final ModelMngService modelMngService;
private final ModelTrainService modelTrainService;
@Operation(summary = "모델학습 목록 조회", description = "모델학습 목록 조회 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/list")
public ApiResponseDto<Page<Basic>> findByModelList(
@Parameter(
description = "상태코드",
example = "IN_PROGRESS",
schema = @Schema(allowableValues = {"", "IN_PROGRESS", "COMPLETED"}))
@RequestParam(required = false)
String status,
@Parameter(description = "페이지 번호") @RequestParam(defaultValue = "0") int page,
@Parameter(description = "페이지 크기") @RequestParam(defaultValue = "20") int size) {
ModelTrainDto.SearchReq searchReq = new ModelTrainDto.SearchReq(status, page, size);
return ApiResponseDto.ok(modelMngService.getModelList(searchReq));
}
@Operation(summary = "학습 모델 삭제", description = "학습 모델 삭제 API")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
@ApiResponse(responseCode = "409", description = "HPs_0001 삭제 불가", content = @Content)
})
@DeleteMapping("/{uuid}")
public ApiResponseDto<Void> deleteModelTrain(
@Parameter(description = "학습 모델 uuid", example = "f2b02229-90f2-45f5-92ea-c56cf1c29f79")
@PathVariable
UUID uuid) {
modelMngService.deleteModelTrain(uuid);
return ApiResponseDto.ok(null);
}
@Operation(summary = "학습 모델 등록", description = "학습 모델 등록 API")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "등록 성공", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping
public ApiResponseDto<String> createModelTrain(@RequestBody ModelTrainDto.AddReq modelTrainDto) {
return ApiResponseDto.ok(null);
}
//
// @Operation(summary = "학습 모델 상세 조회", description = "학습 모델의 상세 정보를 UUID로 조회합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "조회 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = ModelMngDto.Detail.class))),
// @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @GetMapping("/{uuid}")
// public ApiResponseDto<ModelMngDto.Detail> getModelDetail(
// @Parameter(description = "모델 UUID", example = "b7e99739-6736-45f9-a224-8161ecddf287")
// @PathVariable
// String uuid) {
// return ApiResponseDto.ok(modelMngService.getModelDetailByUuid(uuid));
// }
//
// // ==================== 학습 모델학습관리 API (5종) ====================
//
// @Operation(summary = "학습 모델 통합 조회", description = "학습 관리 화면에서 학습 이력 리스트와 현재 상태를 조회합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "조회 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = List.class))),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @GetMapping("/train")
// public ApiResponseDto<List<ModelMngDto.TrainListRes>> getTrainModelList() {
// return ApiResponseDto.ok(modelTrainService.getTrainModelList());
// }
//
// @Operation(summary = "학습 설정 통합 조회", description = "학습 실행 팝업 구성에 필요한 모든 데이터를 한 번에 반환합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "조회 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = ModelMngDto.FormConfigRes.class))),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @GetMapping("/train/form-config")
// public ApiResponseDto<ModelMngDto.FormConfigRes> getFormConfig() {
// return ApiResponseDto.ok(modelTrainService.getFormConfig());
// }
//
// @Operation(summary = "학습 시작", description = "모든 설정(Step 1~3)을 마치고 최종적으로 학습 프로세스를 시작합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "학습 시작 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = ModelMngDto.TrainStartRes.class))),
// @ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @PostMapping("/train")
// public ApiResponseDto<ModelMngDto.TrainStartRes> startTraining(
// @Valid @RequestBody ModelMngDto.TrainStartReq trainReq) {
// return ApiResponseDto.ok(modelTrainService.startTraining(trainReq));
// }
//
// @Operation(summary = "학습 모델 삭제", description = "목록에서 특정 학습 모델을 삭제합니다")
// @ApiResponses(
// value = {
// @ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
// @ApiResponse(responseCode = "400", description = "진행 중인 모델은 삭제 불가", content = @Content),
// @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @DeleteMapping("/train/{uuid}")
// public ApiResponseDto<Void> deleteTrainModel(
// @Parameter(description = "모델 UUID") @PathVariable String uuid) {
// modelTrainService.deleteTrainModel(uuid);
// return ApiResponseDto.ok(null);
// }
//
// // ==================== Resume Training (학습 재시작) ====================
//
// @Operation(summary = "학습 재시작 정보 조회", description = "중단된 학습의 재시작 가능 여부와 Checkpoint 정보를 조회합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "조회 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = ModelMngDto.ResumeInfo.class))),
// @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @GetMapping("/train/{uuid}/resume-info")
// public ApiResponseDto<ModelMngDto.ResumeInfo> getResumeInfo(
// @Parameter(description = "모델 UUID") @PathVariable String uuid) {
// return ApiResponseDto.ok(modelTrainService.getResumeInfo(uuid));
// }
//
// @Operation(summary = "학습 재시작", description = "중단된 지점(Checkpoint)부터 학습을 재개합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "재시작 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = ModelMngDto.ResumeResponse.class))),
// @ApiResponse(responseCode = "400", description = "재시작 불가능한 상태", content = @Content),
// @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @PostMapping("/train/{uuid}/resume")
// public ApiResponseDto<ModelMngDto.ResumeResponse> resumeTraining(
// @Parameter(description = "모델 UUID") @PathVariable String uuid,
// @Valid @RequestBody ModelMngDto.ResumeRequest resumeReq) {
// return ApiResponseDto.ok(modelTrainService.resumeTraining(uuid, resumeReq));
// }
//
// // ==================== Best Epoch Setting (Best Epoch 설정) ====================
//
// @Operation(summary = "Best Epoch 설정", description = "사용자가 직접 Best Epoch를 선택하여 설정합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "설정 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = ModelMngDto.BestEpochResponse.class))),
// @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @PostMapping("/train/{uuid}/best-epoch")
// public ApiResponseDto<ModelMngDto.BestEpochResponse> setBestEpoch(
// @Parameter(description = "모델 UUID") @PathVariable String uuid,
// @Valid @RequestBody ModelMngDto.BestEpochRequest bestEpochReq) {
// return ApiResponseDto.ok(modelTrainService.setBestEpoch(uuid, bestEpochReq));
// }
//
// @Operation(summary = "Epoch별 성능 지표 조회", description = "학습된 모델의 Epoch별 성능 지표를 조회합니다")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "조회 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = List.class))),
// @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @GetMapping("/train/{uuid}/epoch-metrics")
// public ApiResponseDto<List<ModelMngDto.EpochMetric>> getEpochMetrics(
// @Parameter(description = "모델 UUID") @PathVariable String uuid) {
// return ApiResponseDto.ok(modelTrainService.getEpochMetrics(uuid));
// }
}

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package com.kamco.cd.training.model;
import com.kamco.cd.training.common.download.RangeDownloadResponder;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelFileInfo;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferDetailDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.ModelProgressStepDto;
import com.kamco.cd.training.model.service.ModelTrainDetailService;
import com.kamco.cd.training.model.service.ModelTrainMngService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.Parameter;
import io.swagger.v3.oas.annotations.enums.ParameterIn;
import io.swagger.v3.oas.annotations.media.ArraySchema;
import io.swagger.v3.oas.annotations.media.Content;
import io.swagger.v3.oas.annotations.media.Schema;
import io.swagger.v3.oas.annotations.responses.ApiResponse;
import io.swagger.v3.oas.annotations.responses.ApiResponses;
import io.swagger.v3.oas.annotations.tags.Tag;
import jakarta.servlet.http.HttpServletRequest;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.apache.coyote.BadRequestException;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequiredArgsConstructor
@Tag(name = "모델학습 관리", description = "어드민 홈 > 모델학습관리 > 모델관리 > 목록")
@RequestMapping("/api/models")
public class ModelTrainDetailApiController {
private final ModelTrainDetailService modelTrainDetailService;
private final ModelTrainMngService modelTrainMngService;
private final RangeDownloadResponder rangeDownloadResponder;
@Value("${train.docker.responseDir}")
private String responseDir;
@Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 학습 진행정보", description = "학습 진행정보, 모델학습 정보 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Basic.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/detail/{uuid}")
public ApiResponseDto<Basic> findByModelByUUID(
@Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.findByModelByUUID(uuid));
}
@Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 요약정보", description = "상세정보 탭 요약정보 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = ModelTrainDetailDto.DetailSummary.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/summary/{uuid}")
public ApiResponseDto<ModelTrainDetailDto.DetailSummary> getModelDetailSummary(
@Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelDetailSummary(uuid));
}
@Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 하이퍼파라미터 요약 정보", description = "하이퍼파라미터 요약 정보 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = ModelTrainDetailDto.HyperSummary.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/hyper-summary/{uuid}")
public ApiResponseDto<ModelTrainDetailDto.HyperSummary> getByModelHyperParamSummary(
@Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getByModelHyperParamSummary(uuid));
}
@Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 데이터셋 정보", description = "모델학습 상세 데이터셋 정보 API")
@ApiResponses({
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
array = @ArraySchema(schema = @Schema(implementation = MappingDataset.class)))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음"),
@ApiResponse(responseCode = "500", description = "서버 오류")
})
@GetMapping("/mapp-dataset/{uuid}")
public ApiResponseDto<List<MappingDataset>> getByModelMappingDataset(
@Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getByModelMappingDataset(uuid));
}
// @Operation(summary = "모델관리 > 전이 학습 실행설정 > 모델선택", description = "모델선택 정보 API")
// @ApiResponses(
// value = {
// @ApiResponse(
// responseCode = "200",
// description = "조회 성공",
// content =
// @Content(
// mediaType = "application/json",
// schema = @Schema(implementation = TransferDetailDto.class))),
// @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
// @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
// })
// @GetMapping("/transfer/detail/{uuid}")
// public ApiResponseDto<TransferDetailDto> getTransferDetail(
// @Parameter(description = "모델 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
// @PathVariable
// UUID uuid) {
// return ApiResponseDto.ok(modelTrainDetailService.getTransferDetail(uuid));
// }
@Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Train)", description = "모델 상세 > 성능 정보 (Train) API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = TransferDetailDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/metrics/train/{uuid}")
public ApiResponseDto<List<ModelTrainMetrics>> getModelTrainMetricResult(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelTrainMetricResult(uuid));
}
@Operation(
summary = "모델관리 > 모델 상세 > 성능 정보 (Validation)",
description = "모델 상세 > 성능 정보 (Validation) API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = TransferDetailDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/metrics/validation/{uuid}")
public ApiResponseDto<List<ModelValidationMetrics>> getModelValidationMetricResult(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelValidationMetricResult(uuid));
}
@Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Test)", description = "모델 상세 > 성능 정보 (Test) API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = TransferDetailDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/metrics/test/{uuid}")
public ApiResponseDto<List<ModelTestMetrics>> getModelTestMetricResult(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelTestMetricResult(uuid));
}
@Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Test)", description = "모델 상세 > 성능 정보 (Test) API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = TransferDetailDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/best-epoch/{uuid}")
public ApiResponseDto<ModelBestEpoch> getModelTrainBestEpoch(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelTrainBestEpoch(uuid));
}
@Operation(
summary = "학습데이터 파일 다운로드",
description = "학습데이터 파일 다운로드",
parameters = {
@Parameter(
name = "kamco-download-uuid",
in = ParameterIn.HEADER,
required = true,
description = "다운로드 요청 UUID",
schema =
@Schema(
type = "string",
format = "uuid",
example = "6d8d49dc-0c9d-4124-adc7-b9ca610cc394"))
})
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "학습데이터 zip파일 다운로드",
content =
@Content(
mediaType = "application/octet-stream",
schema = @Schema(type = "string", format = "binary"))),
@ApiResponse(responseCode = "404", description = "파일 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/download/{uuid}")
public ResponseEntity<?> download(@PathVariable UUID uuid, HttpServletRequest request)
throws IOException {
Basic info = modelTrainDetailService.findByModelByUUID(uuid);
Path zipPath =
Paths.get(responseDir)
.resolve(String.valueOf(info.getUuid()))
.resolve(info.getModelVer() + ".zip");
if (!Files.isRegularFile(zipPath)) {
throw new BadRequestException();
}
return rangeDownloadResponder.buildZipResponse(zipPath, info.getModelVer() + ".zip", request);
}
@Operation(summary = "모델관리 > 모델 상세 > 파일 정보", description = "모델 상세 > 파일 정보 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = TransferDetailDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/file-info/{uuid}")
public ApiResponseDto<ModelFileInfo> getModelTrainFileInfo(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelTrainFileInfo(uuid));
}
@Operation(summary = "모델관리 > 모델별 진행 상황", description = "모델관리 > 모델별 진행 상황 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = ModelProgressStepDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/progress/{uuid}")
public ApiResponseDto<List<ModelProgressStepDto>> findModelTrainProgressInfo(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.findModelTrainProgressInfo(uuid));
}
}

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package com.kamco.cd.training.model;
import com.kamco.cd.training.common.dto.MonitorDto;
import com.kamco.cd.training.common.service.SystemMonitorService;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.dataset.dto.DatasetDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.ListDto;
import com.kamco.cd.training.model.service.ModelTrainMngService;
import com.kamco.cd.training.train.service.ModelTestMetricsJobService;
import com.kamco.cd.training.train.service.ModelTrainMetricsJobService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.Parameter;
import io.swagger.v3.oas.annotations.media.Content;
import io.swagger.v3.oas.annotations.media.Schema;
import io.swagger.v3.oas.annotations.responses.ApiResponse;
import io.swagger.v3.oas.annotations.responses.ApiResponses;
import io.swagger.v3.oas.annotations.tags.Tag;
import jakarta.validation.Valid;
import java.io.IOException;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.web.bind.annotation.DeleteMapping;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequiredArgsConstructor
@Tag(name = "모델학습 관리", description = "어드민 홈 > 모델학습관리 > 모델관리 > 목록")
@RequestMapping("/api/models")
public class ModelTrainMngApiController {
private final ModelTrainMngService modelTrainMngService;
private final ModelTrainMetricsJobService modelTrainMetricsJobService;
private final ModelTestMetricsJobService modelTestMetricsJobService;
private final SystemMonitorService systemMonitorService;
@Operation(summary = "모델학습 목록 조회", description = "모델학습 목록 조회 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Page.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/list")
public ApiResponseDto<Page<ListDto>> findByModelList(
@Parameter(
description = "상태코드",
example = "IN_PROGRESS",
schema = @Schema(allowableValues = {"", "IN_PROGRESS", "COMPLETED"}))
@RequestParam(required = false)
String status,
@Parameter(
description = "모델",
example = "G1",
schema = @Schema(allowableValues = {"G1", "G2", "G3"}))
@RequestParam(required = false)
String modelNo,
@Parameter(description = "페이지 번호") @RequestParam(defaultValue = "0") int page,
@Parameter(description = "페이지 크기") @RequestParam(defaultValue = "20") int size) {
ModelTrainMngDto.SearchReq searchReq =
new ModelTrainMngDto.SearchReq(status, modelNo, page, size);
return ApiResponseDto.ok(modelTrainMngService.getModelList(searchReq));
}
@Operation(summary = "학습 모델 삭제", description = "학습 모델 삭제 API")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
@ApiResponse(responseCode = "409", description = "G1_000001 삭제 불가", content = @Content)
})
@DeleteMapping("/{uuid}")
public ApiResponseDto<Void> deleteModelTrain(
@Parameter(description = "학습 모델 uuid", example = "f2b02229-90f2-45f5-92ea-c56cf1c29f79")
@PathVariable
UUID uuid) {
modelTrainMngService.deleteModelTrain(uuid);
return ApiResponseDto.ok(null);
}
@Operation(summary = "학습 모델 등록", description = "학습 모델 등록 API")
@ApiResponses(
value = {
@ApiResponse(responseCode = "200", description = "등록 성공", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping
public ApiResponseDto<UUID> createModelTrain(@Valid @RequestBody ModelTrainMngDto.AddReq req) {
return ApiResponseDto.ok(modelTrainMngService.createModelTrain(req));
}
@Operation(summary = "모델학습 config 정보 조회", description = "모델학습 config 정보 조회 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = ModelConfigDto.Basic.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/config/{uuid}")
public ApiResponseDto<ModelConfigDto.Basic> updateModelTrain(
@Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainMngService.getModelConfigByModelId(uuid));
}
@Operation(summary = "모델별 데이터셋 목록 조회", description = "모델별 데이터셋 목록 조회 API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = DatasetDto.Basic.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/select-dataset-list")
public ApiResponseDto<List<SelectDataSet>> getDatasetSelectList(
@Parameter(
description = "모델 구분",
example = "",
schema = @Schema(allowableValues = {"G1", "G2", "G3"}))
@RequestParam
String modelType,
@Parameter(
description = "선택 구분",
example = "",
schema = @Schema(allowableValues = {"CURRENT", "DELIVER", "PRODUCTION"}))
@RequestParam
String selectType) {
DatasetReq req = new DatasetReq();
req.setModelNo(modelType);
req.setDataType(selectType);
return ApiResponseDto.ok(modelTrainMngService.getDatasetSelectList(req));
}
@Operation(
summary = "모델학습 1단계/2단계 실행중인 것이 있는지 count",
description = "모델학습 1단계/2단계 실행중인 것이 있는지 count")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/ing-training-cnt")
public ApiResponseDto<Long> findModelStep1InProgressCnt() {
return ApiResponseDto.ok(modelTrainMngService.findModelStep1InProgressCnt());
}
@Operation(
summary = "스케줄러 findTrainValidMetricCsvFiles",
description = "스케줄러 findTrainValidMetricCsvFiles")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/schedule-trainvalid")
public ApiResponseDto<Long> findTrainValidMetricCsvFiles() {
modelTrainMetricsJobService.findTrainValidMetricCsvFiles();
return ApiResponseDto.ok(null);
}
@Operation(summary = "스케줄러 findTestMetricCsvFiles", description = "스케줄러 findTestMetricCsvFiles")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/schedule-test")
public ApiResponseDto<Long> findTestValidMetricCsvFiles() throws IOException {
modelTestMetricsJobService.findTestValidMetricCsvFiles();
return ApiResponseDto.ok(null);
}
@Operation(summary = "학습서버 시스템 사용율 조회", description = "cpu, gpu, memory 사용율 조회")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "검색 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = Long.class))),
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/monitor")
public ApiResponseDto<MonitorDto> getSystem() throws IOException {
return ApiResponseDto.ok(systemMonitorService.get());
}
}

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package com.kamco.cd.training.model.dto;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
public class ModelConfigDto {
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class Basic {
private Long configId;
private Long modelId;
private Integer epochCount;
private Float trainPercent;
private Float validationPercent;
private Float testPercent;
private String memo;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class TransferBasic {
private Long configId;
private Long modelId;
private Integer epochCount;
private Float trainPercent;
private Float validationPercent;
private Float testPercent;
private String memo;
private Long beforeConfigId;
private Long beforeModelId;
private Integer beforeEpochCount;
private Float beforeTrainPercent;
private Float beforeValidationPercent;
private Float beforeTestPercent;
private String beforeMemo;
}
}

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@@ -1,374 +0,0 @@
package com.kamco.cd.training.model.dto;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import jakarta.validation.constraints.NotBlank;
import jakarta.validation.constraints.NotEmpty;
import jakarta.validation.constraints.NotNull;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.Map;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
public class ModelMngDto {
@Schema(name = "Detail", description = "모델 상세 정보")
@Getter
@Builder
public static class Detail {
private String uuid;
private String modelVer;
private String hyperVer;
private String epochVer;
private String processStep;
private String statusCd;
private String statusText;
@JsonFormatDttm private ZonedDateTime trainStartDttm;
private Integer epochCnt;
private String datasetRatio;
private Integer bestEpoch;
private Integer confirmedBestEpoch;
@JsonFormatDttm private ZonedDateTime step1EndDttm;
private ZonedDateTime step1Duration;
@JsonFormatDttm private ZonedDateTime step2EndDttm;
private ZonedDateTime step2Duration;
private Integer progressRate;
@JsonFormatDttm private ZonedDateTime createdDttm;
@JsonFormatDttm private ZonedDateTime updatedDttm;
private String modelPath;
private String errorMsg;
}
@Schema(name = "TrainListRes", description = "학습 모델 목록 응답")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class TrainListRes {
private String uuid;
private String modelVer;
private String status;
private String processStep;
@JsonFormatDttm private ZonedDateTime trainStartDttm;
private Integer progressRate;
private Integer epochCnt;
@JsonFormatDttm private ZonedDateTime step1EndDttm;
private ZonedDateTime step1Duration;
@JsonFormatDttm private ZonedDateTime step2EndDttm;
private ZonedDateTime step2Duration;
@JsonFormatDttm private ZonedDateTime createdDttm;
private String errorMsg;
private Boolean canResume;
private Integer lastCheckpointEpoch;
}
@Schema(name = "FormConfigRes", description = "학습 설정 통합 조회 응답")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class FormConfigRes {
private Boolean isTrainAvailable;
private List<HyperParamInfo> hyperParams;
private List<DatasetInfo> datasets;
private String runningModelUuid;
}
@Schema(name = "HyperParamInfo", description = "하이퍼파라미터 정보")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class HyperParamInfo {
@Schema(description = "하이퍼파라미터 버전", example = "V3.99.251221.120518")
private String hyperVer;
// Important
@Schema(description = "백본", example = "large")
private String backbone;
@Schema(description = "입력 사이즈", example = "256,256")
private String inputSize;
@Schema(description = "크롭 사이즈", example = "256,256")
private String cropSize;
@Schema(description = "에폭 수", example = "200")
private Integer epochCnt;
@Schema(description = "배치 사이즈", example = "16")
private Integer batchSize;
// Architecture
@Schema(description = "Drop Path Rate", example = "0.3")
private Double dropPathRate;
@Schema(description = "Frozen Stages", example = "-1")
private Integer frozenStages;
@Schema(description = "Neck Policy", example = "abs_diff")
private String neckPolicy;
@Schema(description = "Decoder Channels", example = "512,256,128,64")
private String decoderChannels;
@Schema(description = "Class Weight", example = "1,1")
private String classWeight;
@Schema(description = "레이어 수", example = "24")
private Integer numLayers;
// Optimization
@Schema(description = "Learning Rate", example = "0.00006")
private Double learningRate;
@Schema(description = "Weight Decay", example = "0.05")
private Double weightDecay;
@Schema(description = "Layer Decay Rate", example = "0.9")
private Double layerDecayRate;
@Schema(description = "DDP Unused Params 찾기", example = "true")
private Boolean ddpFindUnusedParams;
@Schema(description = "Ignore Index", example = "255")
private Integer ignoreIndex;
// Data
@Schema(description = "Train Workers", example = "16")
private Integer trainNumWorkers;
@Schema(description = "Val Workers", example = "8")
private Integer valNumWorkers;
@Schema(description = "Test Workers", example = "8")
private Integer testNumWorkers;
@Schema(description = "Train Shuffle", example = "true")
private Boolean trainShuffle;
@Schema(description = "Train Persistent", example = "true")
private Boolean trainPersistent;
@Schema(description = "Val Persistent", example = "true")
private Boolean valPersistent;
// Evaluation
@Schema(description = "Metrics", example = "mFscore,mIoU")
private String metrics;
@Schema(description = "Save Best", example = "changed_fscore")
private String saveBest;
@Schema(description = "Save Best Rule", example = "greater")
private String saveBestRule;
@Schema(description = "Val Interval", example = "10")
private Integer valInterval;
@Schema(description = "Log Interval", example = "400")
private Integer logInterval;
@Schema(description = "Vis Interval", example = "1")
private Integer visInterval;
// Hardware
@Schema(description = "GPU 수", example = "4")
private Integer gpuCnt;
@Schema(description = "GPU IDs", example = "0,1,2,3")
private String gpuIds;
@Schema(description = "Master Port", example = "1122")
private Integer masterPort;
// Augmentation
@Schema(description = "Rotation 확률", example = "0.5")
private Double rotProb;
@Schema(description = "Flip 확률", example = "0.5")
private Double flipProb;
@Schema(description = "Rotation 각도", example = "-20,20")
private String rotDegree;
@Schema(description = "Exchange 확률", example = "0.5")
private Double exchangeProb;
@Schema(description = "Brightness Delta", example = "10")
private Integer brightnessDelta;
@Schema(description = "Contrast Range", example = "0.8,1.2")
private String contrastRange;
@Schema(description = "Saturation Range", example = "0.8,1.2")
private String saturationRange;
@Schema(description = "Hue Delta", example = "10")
private Integer hueDelta;
// Legacy
private Double dropoutRatio;
private Integer cnnFilterCnt;
// Common
@Schema(description = "메모", example = "안녕하세요 캠코담당자 입니다. 하이퍼파라미터 신규등록합니다")
private String memo;
@JsonFormatDttm private ZonedDateTime createdDttm;
}
@Schema(name = "DatasetInfo", description = "데이터셋 정보")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class DatasetInfo {
private Long id;
private String title;
private String groupTitle;
private Long totalItems;
private String totalSize;
private Map<String, Integer> classCounts;
private String memo;
@JsonFormatDttm private ZonedDateTime createdDttm;
}
@Schema(name = "TrainStartReq", description = "학습 시작 요청")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class TrainStartReq {
@NotBlank(message = "하이퍼파라미터 버전은 필수입니다")
@Schema(example = "V3.99.251221.120518")
private String hyperVer;
@NotEmpty(message = "데이터셋은 최소 1개 이상 선택해야 합니다")
private List<Long> datasetIds;
@NotNull(message = "에폭 수는 필수입니다")
@jakarta.validation.constraints.Min(value = 1, message = "에폭 수는 최소 1 이상이어야 합니다")
@jakarta.validation.constraints.Max(value = 200, message = "에폭 수는 최대 200까지 설정 가능합니다")
@Schema(example = "200")
private Integer epoch;
@Schema(example = "7:2:1", description = "데이터 분할 비율 (Training:Validation:Test)")
private String datasetRatio;
}
@Schema(name = "TrainStartRes", description = "학습 시작 응답")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class TrainStartRes {
private String uuid;
private String status;
}
@Schema(name = "ResumeInfo", description = "학습 재시작 정보")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class ResumeInfo {
private Boolean canResume;
private Integer lastEpoch;
private Integer totalEpoch;
private String checkpointPath;
@JsonFormatDttm private ZonedDateTime failedAt;
}
@Schema(name = "ResumeRequest", description = "학습 재시작 요청")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ResumeRequest {
@NotNull(message = "재시작 Epoch는 필수입니다")
private Integer resumeFromEpoch;
private Integer newTotalEpoch;
}
@Schema(name = "ResumeResponse", description = "학습 재시작 응답")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class ResumeResponse {
private String uuid;
private String status;
private Integer resumedFromEpoch;
}
@Schema(name = "BestEpochRequest", description = "Best Epoch 설정 요청")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class BestEpochRequest {
@NotNull(message = "Best Epoch는 필수입니다")
private Integer bestEpoch;
private String reason;
}
@Schema(name = "BestEpochResponse", description = "Best Epoch 설정 응답")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class BestEpochResponse {
private String uuid;
private Integer bestEpoch;
private Integer confirmedBestEpoch;
private Integer previousBestEpoch;
}
@Schema(name = "EpochMetric", description = "Epoch별 성능 지표")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class EpochMetric {
private Integer epoch;
private Double mIoU;
private Double mFscore;
private Double loss;
private Boolean isBest;
}
}

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package com.kamco.cd.training.model.dto;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.kamco.cd.training.common.enums.LearnDataType;
import com.kamco.cd.training.common.enums.TrainStatusType;
import com.kamco.cd.training.common.enums.TrainType;
import com.kamco.cd.training.common.utils.enums.Enums;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
import io.swagger.v3.oas.annotations.media.Schema;
import java.time.Duration;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.UUID;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
public class ModelTrainDetailDto {
@Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class DetailSummary {
private Long modelId;
private UUID uuid;
private String modelNo;
private String modelVer;
@JsonFormatDttm private ZonedDateTime step1StrtDttm;
@JsonFormatDttm private ZonedDateTime step2EndDttm;
private String statusCd;
private String trainType;
private UUID beforeUuid;
public String getStatusName() {
if (this.statusCd == null || this.statusCd.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getTrainTypeName() {
if (this.trainType == null || this.trainType.isBlank()) return null;
try {
return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
if (end == null) {
end = ZonedDateTime.now();
}
if (start == null) {
return null;
}
long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
long hours = totalSeconds / 3600;
long minutes = (totalSeconds % 3600) / 60;
long seconds = totalSeconds % 60;
return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
}
public String getStepAllDuration() {
return formatDuration(this.step1StrtDttm, this.step2EndDttm);
}
}
@Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class HyperSummary {
private UUID uuid;
private Long hyperParamId;
private String hyperVer;
private String backbone;
private String inputSize;
private String cropSize;
private Integer batchSize;
}
@Schema(name = "모델학습관리 전이 하이파라미터", description = "모델학습관리 전이 하이파라미터")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class TransferHyperSummary {
private UUID uuid;
private Long hyperParamId;
private String hyperVer;
private String backbone;
private String inputSize;
private String cropSize;
private Integer batchSize;
private UUID beforeUuid;
private Long beforeHyperParamId;
private String beforeHyperVer;
private String beforeBackbone;
private String beforeInputSize;
private String beforeCropSize;
private Integer beforeBatchSize;
}
@Schema(name = "선택한 데이터셋 목록", description = "선택한 데이터셋 목록")
@Getter
@Setter
@NoArgsConstructor
public static class MappingDataset {
private Long modelId;
private Long datasetId;
private String dataType;
private Integer compareYyyy;
private Integer targetYyyy;
private Long roundNo;
private String dataTypeName;
@JsonInclude(JsonInclude.Include.NON_NULL)
private Long buildingCnt;
@JsonInclude(JsonInclude.Include.NON_NULL)
private Long containerCnt;
@JsonInclude(JsonInclude.Include.NON_NULL)
private Long wasteCnt;
@JsonInclude(JsonInclude.Include.NON_NULL)
private Long landCoverCnt;
public MappingDataset(
Long modelId,
Long datasetId,
String dataType,
Integer compareYyyy,
Integer targetYyyy,
Long roundNo,
Long buildingCnt,
Long containerCnt,
Long wasteCnt,
Long landCoverCnt) {
this.modelId = modelId;
this.datasetId = datasetId;
this.dataType = dataType;
this.compareYyyy = compareYyyy;
this.targetYyyy = targetYyyy;
this.roundNo = roundNo;
this.buildingCnt = buildingCnt;
this.containerCnt = containerCnt;
this.wasteCnt = wasteCnt;
this.landCoverCnt = landCoverCnt;
this.dataTypeName = getDataTypeName(this.dataType);
}
public String getDataTypeName(String groupTitleCd) {
LearnDataType type = Enums.fromId(LearnDataType.class, groupTitleCd);
return type == null ? null : type.getText();
}
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class TransferDetailDto {
private ModelConfigDto.TransferBasic etcConfig;
private TransferHyperSummary modelTrainHyper;
private List<SelectTransferDataSet> modelTrainDataset;
// private List<SelectDataSet> beforeTrainDataset;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ModelTrainMetrics {
private Integer epoch;
private Long iteration;
private Double loss;
private Double lr;
private Float durationTime;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ModelValidationMetrics {
private Integer epoch;
private Float aAcc;
private Float mFscore;
private Float mPrecision;
private Float mRecall;
private Float mIou;
private Float mAcc;
private Float changedFscore;
private Float changedPrecision;
private Float changedRecall;
private Float unchangedFscore;
private Float unchangedPrecision;
private Float unchangedRecall;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ModelTestMetrics {
private String model;
private Long tp;
private Long fp;
private Long fn;
private Float precision;
private Float recall;
private Float f1Score;
private Float accuracy;
private Float iou;
private Long detectionCount;
private Long gtCount;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ModelBestEpoch {
private Integer epoch;
private Double loss;
private Float f1Score;
private Float precision;
private Float recall;
private Float iou;
private Float accuracy;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ModelFileInfo {
private Boolean fileExistsYn;
private String fileName;
}
}

View File

@@ -1,336 +0,0 @@
package com.kamco.cd.training.model.dto;
import com.kamco.cd.training.common.enums.TrainStatusType;
import com.kamco.cd.training.common.enums.TrainType;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import jakarta.validation.constraints.NotNull;
import java.time.Duration;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.UUID;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
public class ModelTrainDto {
@Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class Basic {
private Long id;
private UUID uuid;
private String modelVer;
@JsonFormatDttm private ZonedDateTime startDttm;
@JsonFormatDttm private ZonedDateTime step1StrtDttm;
@JsonFormatDttm private ZonedDateTime step1EndDttm;
@JsonFormatDttm private ZonedDateTime step2StrtDttm;
@JsonFormatDttm private ZonedDateTime step2EndDttm;
private String step1Status;
private String step2Status;
private String statusCd;
private String trainType;
public String getStatusName() {
if (this.statusCd == null || this.statusCd.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getStep1StatusName() {
if (this.step1Status == null || this.step1Status.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.step1Status).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.step1Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getStep2StatusNAme() {
if (this.step2Status == null || this.step2Status.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.step2Status).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.step2Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getTrainTypeName() {
if (this.trainType == null || this.trainType.isBlank()) return null;
try {
return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
if (start == null || end == null) {
return null;
}
long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
long hours = totalSeconds / 3600;
long minutes = (totalSeconds % 3600) / 60;
long seconds = totalSeconds % 60;
return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
}
public String getStep1Duration() {
return formatDuration(this.step1StrtDttm, this.step1EndDttm);
}
public String getStep2Duration() {
return formatDuration(this.step2StrtDttm, this.step2EndDttm);
}
}
@Schema(name = "searchReq", description = "모델학습 관리 목록조회 파라미터")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class SearchReq {
private String status;
// 페이징 파라미터
private int page = 0;
private int size = 20;
public Pageable toPageable() {
return PageRequest.of(page, size);
}
}
@Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class AddReq {
HyperParamDto hyperParam;
TrainingDataConfigDto trainingDataConfig;
EtcConfig etcConfig;
}
/** 학습실행설정 하이퍼파라미터 설정 */
@Schema(name = "하이퍼파라미터 설정", description = "학습실행설정 > 하이퍼파라미터 설정")
@Getter
@Setter
public static class HyperParamDto {
@NotNull
@Schema(
description = "OPTIMIZED(최적화 파라미터),EXISTING(기존 파라미터),NEW(신규 파라미터)",
example = "EXISTING")
private String hyperParamType;
@Schema(description = "기존 파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
private String hyperUuid;
// -------------------------
// Important
// -------------------------
@Schema(description = "백본 네트워크", example = "large")
private String backbone; // backbone
@Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
private String inputSize; // input_size
@Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
private String cropSize; // crop_size
@Schema(description = "배치 크기(Per GPU)", example = "16")
private Integer batchSize; // batch_size
// -------------------------
// Data
// -------------------------
@Schema(description = "Train dataloader workers", example = "16")
private Integer trainNumWorkers; // train_num_workers
@Schema(description = "Val dataloader workers", example = "8")
private Integer valNumWorkers; // val_num_workers
@Schema(description = "Test dataloader workers", example = "8")
private Integer testNumWorkers; // test_num_workers
@Schema(description = "Train shuffle 여부", example = "true")
private Boolean trainShuffle; // train_shuffle
@Schema(description = "Train persistent workers 여부", example = "true")
private Boolean trainPersistent; // train_persistent
@Schema(description = "Val persistent workers 여부", example = "true")
private Boolean valPersistent; // val_persistent
// -------------------------
// Model Architecture
// -------------------------
@Schema(description = "Drop Path 비율", example = "0.3")
private Double dropPathRate; // drop_path_rate
@Schema(description = "Freeze 단계(-1:None)", example = "-1")
private Integer frozenStages; // frozen_stages
@Schema(description = "Neck 결합 정책", example = "abs_diff")
private String neckPolicy; // neck_policy
@Schema(description = "디코더 채널 구성", example = "512,256,128,64")
private String decoderChannels; // decoder_channels
@Schema(description = "클래스별 가중치", example = "1,10")
private String classWeight; // class_weight
// -------------------------
// Loss & Optimization
// -------------------------
@Schema(description = "학습률", example = "0.00006")
private Double learningRate; // learning_rate
@Schema(description = "Weight Decay", example = "0.05")
private Double weightDecay; // weight_decay
@Schema(description = "Layer Decay Rate", example = "0.9")
private Double layerDecayRate; // layer_decay_rate
@Schema(description = "DDP unused params 탐색 여부", example = "true")
private Boolean ddpFindUnusedParams; // ddp_find_unused_params
@Schema(description = "Loss 계산 제외 인덱스", example = "255")
private Integer ignoreIndex; // ignore_index
@Schema(description = "레이어 깊이", example = "24")
private Integer numLayers; // num_layers
// -------------------------
// Evaluation
// -------------------------
@Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
private String metrics; // metrics
@Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
private String saveBest; // save_best
@Schema(description = "Best 모델 선정 규칙", example = "less")
private String saveBestRule; // save_best_rule
@Schema(description = "검증 수행 주기(Epoch)", example = "10")
private Integer valInterval; // val_interval
@Schema(description = "로그 기록 주기(Iteration)", example = "400")
private Integer logInterval; // log_interval
@Schema(description = "시각화 저장 주기(Epoch)", example = "1")
private Integer visInterval; // vis_interval
// -------------------------
// Augmentation
// -------------------------
@Schema(description = "회전 적용 확률", example = "0.5")
private Double rotProb; // rot_prob
@Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
private String rotDegree; // rot_degree
@Schema(description = "반전 적용 확률", example = "0.5")
private Double flipProb; // flip_prob
@Schema(description = "채널 교환 확률", example = "0.5")
private Double exchangeProb; // exchange_prob
@Schema(description = "밝기 변화량", example = "10")
private Integer brightnessDelta; // brightness_delta
@Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
private String contrastRange; // contrast_range
@Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
private String saturationRange; // saturation_range
@Schema(description = "색조 변화량", example = "10")
private Integer hueDelta; // hue_delta
// -------------------------
// Hardware
// -------------------------
@Schema(description = "사용 GPU 개수", example = "4")
private Integer gpuCnt; // gpu_cnt
@Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
private String gpuIds; // gpu_ids
@Schema(description = "분산학습 마스터 포트", example = "1122")
private Integer masterPort; // master_port
// -------------------------
// Memo
// -------------------------
@Schema(description = "메모", example = "하이퍼파라미터 신규등록")
private String memo; // memo
}
@Getter
@Setter
public static class TrainingDataConfigDto {
Summary summary;
List<Dataset> datasetList;
}
@Getter
@Setter
public static class Summary {
@Schema(description = "건물", example = "0")
private Long buildingCnt;
@Schema(description = "컨테이너", example = "0")
private Long containerCnt;
@Schema(description = "폐기물", example = "0")
private Long wasteCnt;
@Schema(
description = "도로, 비닐하우스, 밭, 과수원, 초지, 숲, 물, 모재/자갈, 토분(무덤), 일반토지, 태양광, 기타",
example = "0")
private Long LandCoverCnt;
}
@Getter
@Setter
public static class Dataset {
@Schema(description = "데이터셋 uuid")
private UUID uuid;
}
@Getter
@Setter
public static class EtcConfig {
@Schema(description = "에폭 횟수", example = "0")
private Long epochCnt;
@Schema(description = "학습데이터셋 비율 Training", example = "0")
private Integer trainingCnt;
@Schema(description = "학습데이터셋 비율 Validation", example = "0")
private Integer validationCnt;
@Schema(description = "학습데이터셋 비율 Test", example = "0")
private Integer testCnt;
@Schema(description = "메모", example = "메모 입니다.")
private String memo;
}
}

View File

@@ -0,0 +1,330 @@
package com.kamco.cd.training.model.dto;
import com.kamco.cd.training.common.dto.HyperParam;
import com.kamco.cd.training.common.enums.TrainStatusType;
import com.kamco.cd.training.common.enums.TrainType;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import jakarta.validation.constraints.NotNull;
import java.time.Duration;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.UUID;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
public class ModelTrainMngDto {
@Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class Basic {
private Long id;
private UUID uuid;
private String modelVer;
@JsonFormatDttm private ZonedDateTime startDttm;
@JsonFormatDttm private ZonedDateTime step1StrtDttm;
@JsonFormatDttm private ZonedDateTime step1EndDttm;
@JsonFormatDttm private ZonedDateTime step2StrtDttm;
@JsonFormatDttm private ZonedDateTime step2EndDttm;
private String step1Status;
private String step2Status;
private String statusCd;
private String trainType;
private String modelNo;
private Long currentAttemptId;
private String requestPath;
private String packingState;
private ZonedDateTime packingStrtDttm;
private ZonedDateTime packingEndDttm;
private Long beforeModelId;
public String getStatusName() {
if (this.statusCd == null || this.statusCd.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getStep1StatusName() {
if (this.step1Status == null || this.step1Status.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.step1Status).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.step1Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getStep2StatusName() {
if (this.step2Status == null || this.step2Status.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.step2Status).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.step2Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getTrainTypeName() {
if (this.trainType == null || this.trainType.isBlank()) return null;
try {
return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
if (start == null || end == null) {
return null;
}
long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
long hours = totalSeconds / 3600;
long minutes = (totalSeconds % 3600) / 60;
long seconds = totalSeconds % 60;
return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
}
public String getStep1Duration() {
return formatDuration(this.step1StrtDttm, this.step1EndDttm);
}
public String getStep2Duration() {
return formatDuration(this.step2StrtDttm, this.step2EndDttm);
}
public String getPackingDuration() {
return formatDuration(this.packingStrtDttm, this.packingEndDttm);
}
}
@Schema(name = "searchReq", description = "모델학습 관리 목록조회 파라미터")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class SearchReq {
private String status;
private String modelNo;
// 페이징 파라미터
private int page = 0;
private int size = 20;
public Pageable toPageable() {
return PageRequest.of(page, size);
}
}
@Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class AddReq {
@NotNull
@Schema(description = "모델 종류 G1, G2, G3", example = "G1")
private String modelNo;
@NotNull
@Schema(description = "모델학습 실행 여부", example = "false")
private Boolean isStart;
@NotNull
@Schema(description = "학습타입 GENERAL(일반), TRANSFER(전이)", example = "GENERAL")
private String trainType;
@Schema(description = "전이학습일때 선택한 모델 id")
private Long beforeModelId;
@NotNull
@Schema(
description = "하이퍼 파라미터 선택 타입 OPTIMIZED(최적화 파라미터),EXISTING(기존 파라미터),NEW(신규 파라미터)",
example = "EXISTING")
private String hyperParamType;
@Schema(description = "하이퍼파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
private UUID hyperUuid;
HyperParam hyperParam;
TrainingDataset trainingDataset;
ModelConfig modelConfig;
}
@Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class UpdateReq {
private String requestPath;
private String responsePath;
}
@Getter
@Setter
public static class TrainingDataset {
Summary summary;
List<Long> datasetList;
}
@Getter
@Setter
public static class Summary {
@Schema(description = "건물", example = "0")
private Long buildingCnt;
@Schema(description = "컨테이너", example = "0")
private Long containerCnt;
@Schema(description = "폐기물", example = "0")
private Long wasteCnt;
@Schema(
description = "도로, 비닐하우스, 밭, 과수원, 초지, 숲, 물, 모재/자갈, 토분(무덤), 일반토지, 태양광, 기타",
example = "0")
private Long LandCoverCnt;
}
@Getter
@Setter
public static class ModelConfig {
@Schema(description = "에폭 횟수", example = "0")
private Integer epochCnt;
@Schema(description = "학습데이터셋 비율 Training", example = "0")
private Float trainingCnt;
@Schema(description = "학습데이터셋 비율 Validation", example = "0")
private Float validationCnt;
@Schema(description = "학습데이터셋 비율 Test", example = "0")
private Float testCnt;
@Schema(description = "메모", example = "메모 입니다.")
private String memo;
}
@Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class ListDto {
private Long id;
private UUID uuid;
private String modelVer;
@JsonFormatDttm private ZonedDateTime startDttm;
@JsonFormatDttm private ZonedDateTime step1StrtDttm;
@JsonFormatDttm private ZonedDateTime step1EndDttm;
@JsonFormatDttm private ZonedDateTime step2StrtDttm;
@JsonFormatDttm private ZonedDateTime step2EndDttm;
private String step1Status;
private String step2Status;
private String statusCd;
private String trainType;
private String modelNo;
private Long currentAttemptId;
private String requestPath;
private String packingState;
private ZonedDateTime packingStrtDttm;
private ZonedDateTime packingEndDttm;
private String memo;
private String userNm;
private UUID beforeUuid;
public String getStatusName() {
if (this.statusCd == null || this.statusCd.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getStep1StatusName() {
if (this.step1Status == null || this.step1Status.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.step1Status).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.step1Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getStep2StatusName() {
if (this.step2Status == null || this.step2Status.isBlank()) return null;
try {
return TrainStatusType.valueOf(this.step2Status).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.step2Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
public String getTrainTypeName() {
if (this.trainType == null || this.trainType.isBlank()) return null;
try {
return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
} catch (IllegalArgumentException e) {
return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
}
}
private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
if (start == null || end == null) {
return null;
}
long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
long hours = totalSeconds / 3600;
long minutes = (totalSeconds % 3600) / 60;
long seconds = totalSeconds % 60;
return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
}
public String getStep1Duration() {
return formatDuration(this.step1StrtDttm, this.step1EndDttm);
}
public String getStep2Duration() {
return formatDuration(this.step2StrtDttm, this.step2EndDttm);
}
public String getPackingDuration() {
return formatDuration(this.packingStrtDttm, this.packingEndDttm);
}
}
@Getter
@Builder
@AllArgsConstructor
public static class ModelProgressStepDto {
private int step;
private String status;
@JsonFormatDttm private ZonedDateTime startTime;
@JsonFormatDttm private ZonedDateTime endTime;
private boolean isError;
}
}

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@@ -1,61 +0,0 @@
package com.kamco.cd.training.model.dto;
import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
import io.swagger.v3.oas.annotations.media.Schema;
import java.time.ZonedDateTime;
import lombok.Getter;
public class ModelVerDto {
@Schema(name = "modelVer Basic", description = "모델버전 엔티티 기본 정보")
@Getter
public static class Basic {
private final Long id;
private final Long modelUid;
private final String modelCate;
private final String modelVer;
private final String usedState;
private final String modelState;
private final Double qualityProb;
private final String deployState;
private final String modelPath;
@JsonFormatDttm private final ZonedDateTime createdDttm;
private final Long createdUid;
@JsonFormatDttm private final ZonedDateTime updatedDttm;
private final Long updatedUid;
public Basic(
Long id,
Long modelUid,
String modelCate,
String modelVer,
String usedState,
String modelState,
Double qualityProb,
String deployState,
String modelPath,
ZonedDateTime createdDttm,
Long createdUid,
ZonedDateTime updatedDttm,
Long updatedUid) {
this.id = id;
this.modelUid = modelUid;
this.modelCate = modelCate;
this.modelVer = modelVer;
this.usedState = usedState;
this.modelState = modelState;
this.qualityProb = qualityProb;
this.deployState = deployState;
this.modelPath = modelPath;
this.createdDttm = createdDttm;
this.createdUid = createdUid;
this.updatedDttm = updatedDttm;
this.updatedUid = updatedUid;
}
}
}

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package com.kamco.cd.training.model.service;
import com.kamco.cd.training.model.dto.ModelMngDto;
import com.kamco.cd.training.model.dto.ModelTrainDto;
import com.kamco.cd.training.model.dto.ModelTrainDto.SearchReq;
import com.kamco.cd.training.postgres.core.ModelMngCoreService;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.data.domain.Page;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
@Transactional(readOnly = true)
@Slf4j
public class ModelMngService {
private final ModelMngCoreService modelMngCoreService;
/**
* 모델 목록 조회
*
* @param searchReq 검색 조건
* @return 페이징 처리된 모델 목록
*/
public Page<ModelTrainDto.Basic> getModelList(SearchReq searchReq) {
return modelMngCoreService.findByModelList(searchReq);
}
/**
* 학습모델 삭제
*
* @param uuid
*/
public void deleteModelTrain(UUID uuid) {
modelMngCoreService.deleteModel(uuid);
}
public String createModelTrain(ModelMngDto modelMngDto) {
return null;
}
/**
* 모델 상세 조회
*
* @param modelUid 모델 UID
* @return 모델 상세 정보
*/
public ModelMngDto.Detail getModelDetail(Long modelUid) {
return modelMngCoreService.getModelDetail(modelUid);
}
}

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package com.kamco.cd.training.model.service;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelFileInfo;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferDetailDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferHyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.ModelProgressStepDto;
import com.kamco.cd.training.postgres.core.ModelTrainDetailCoreService;
import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
import java.util.ArrayList;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
@Transactional(readOnly = true)
@Slf4j
public class ModelTrainDetailService {
private final ModelTrainDetailCoreService modelTrainDetailCoreService;
private final ModelTrainMngCoreService mngCoreService;
/**
* 모델 상세정보 요약
*
* @param uuid
* @return
*/
public DetailSummary getModelDetailSummary(UUID uuid) {
return modelTrainDetailCoreService.getModelDetailSummary(uuid);
}
/**
* 모델 하이퍼파라미터 요약
*
* @param uuid
* @return
*/
public HyperSummary getByModelHyperParamSummary(UUID uuid) {
return modelTrainDetailCoreService.getByModelHyperParamSummary(uuid);
}
public List<MappingDataset> getByModelMappingDataset(UUID uuid) {
return modelTrainDetailCoreService.getByModelMappingDataset(uuid);
}
public Basic findByModelByUUID(UUID uuid) {
return modelTrainDetailCoreService.findByModelByUUID(uuid);
}
/**
* 전이학습 모델선택 정보
*
* @param uuid
* @return
*/
public TransferDetailDto getTransferDetail(UUID uuid) {
Basic modelInfo = modelTrainDetailCoreService.findByModelByUUID(uuid);
// config 정보 조회
ModelConfigDto.TransferBasic configInfo = mngCoreService.findModelTransferConfigByModelId(uuid);
// 하이파라미터 정보 조회
TransferHyperSummary hyperSummary = modelTrainDetailCoreService.getTransferHyperSummary(uuid);
List<SelectTransferDataSet> dataSets = new ArrayList<>();
DatasetReq datasetReq = new DatasetReq();
List<Long> datasetIds = new ArrayList<>();
List<MappingDataset> mappingDatasets =
modelTrainDetailCoreService.getByModelMappingDataset(uuid);
for (MappingDataset mappingDataset : mappingDatasets) {
datasetIds.add(mappingDataset.getDatasetId());
}
datasetReq.setIds(datasetIds);
datasetReq.setModelNo(modelInfo.getModelNo());
if (modelInfo.getModelNo().equals(ModelType.G1.getId())) {
dataSets = mngCoreService.getDatasetTransferSelectG1List(modelInfo.getId());
} else {
dataSets =
mngCoreService.getDatasetTransferSelectG2G3List(
modelInfo.getId(), modelInfo.getModelNo());
}
// DatasetReq beforeDatasetReq = new DatasetReq();
// List<Long> beforeDatasetIds = new ArrayList<>();
// List<SelectDataSet> beforeDataSets = new ArrayList<>();
//
// Long beforeModelId = modelInfo.getBeforeModelId();
// if (beforeModelId != null) {
// Basic beforeInfo = modelTrainDetailCoreService.findByModelBeforeId(beforeModelId);
// List<MappingDataset> beforeDatasets =
// modelTrainDetailCoreService.getByModelMappingDataset(beforeInfo.getUuid());
//
// for (MappingDataset before : beforeDatasets) {
// beforeDatasetIds.add(before.getDatasetId());
// }
// beforeDatasetReq.setIds(beforeDatasetIds);
// beforeDatasetReq.setModelNo(modelInfo.getModelNo());
//
// if (beforeInfo.getModelNo().equals(ModelType.G1.getId())) {
// beforeDataSets = mngCoreService.getDatasetSelectG1List(beforeDatasetReq);
// } else {
// beforeDataSets = mngCoreService.getDatasetSelectG2G3List(beforeDatasetReq);
// }
// }
TransferDetailDto transferDetailDto = new TransferDetailDto();
transferDetailDto.setEtcConfig(configInfo);
transferDetailDto.setModelTrainHyper(hyperSummary);
transferDetailDto.setModelTrainDataset(dataSets);
return transferDetailDto;
}
public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
return modelTrainDetailCoreService.getModelTrainMetricResult(uuid);
}
public List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid) {
return modelTrainDetailCoreService.getModelValidationMetricResult(uuid);
}
public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
return modelTrainDetailCoreService.getModelTestMetricResult(uuid);
}
public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
return modelTrainDetailCoreService.getModelTrainBestEpoch(uuid);
}
public ModelFileInfo getModelTrainFileInfo(UUID uuid) {
return modelTrainDetailCoreService.getModelTrainFileInfo(uuid);
}
public List<ModelProgressStepDto> findModelTrainProgressInfo(UUID uuid) {
return modelTrainDetailCoreService.findModelTrainProgressInfo(uuid);
}
}

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package com.kamco.cd.training.model.service;
import com.kamco.cd.training.common.dto.HyperParam;
import com.kamco.cd.training.common.enums.HyperParamSelectType;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.common.enums.TrainType;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.SearchReq;
import com.kamco.cd.training.postgres.core.HyperParamCoreService;
import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
import com.kamco.cd.training.train.service.TrainJobService;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.data.domain.Page;
import org.springframework.http.HttpStatus;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
@Transactional(readOnly = true)
@Slf4j
public class ModelTrainMngService {
private final ModelTrainMngCoreService modelTrainMngCoreService;
private final HyperParamCoreService hyperParamCoreService;
private final TrainJobService trainJobService;
/**
* 모델학습 조회
*
* @param searchReq 검색 조건
* @return 페이징 처리된 모델 목록
*/
public Page<ModelTrainMngDto.ListDto> getModelList(SearchReq searchReq) {
return modelTrainMngCoreService.findByModelList(searchReq);
}
/**
* 모델학습 삭제
*
* @param uuid
*/
@Transactional
public void deleteModelTrain(UUID uuid) {
modelTrainMngCoreService.deleteModel(uuid);
}
/**
* 모델학습 등록
*
* @param req
* @return
*/
@Transactional
public UUID createModelTrain(ModelTrainMngDto.AddReq req) {
HyperParam hyperParam = req.getHyperParam();
HyperParamDto.Basic hyper = new HyperParamDto.Basic();
// 전이 학습은 모델 선택 필수
if (TrainType.TRANSFER.getId().equals(req.getTrainType())) {
if (req.getBeforeModelId() == null) {
throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST, "모델을 선택해 주세요.");
}
}
// 하이파라미터 신규저장
if (HyperParamSelectType.NEW.getId().equals(req.getHyperParamType())) {
// 하이퍼파라미터 등록
hyper = hyperParamCoreService.createHyperParam(hyperParam);
req.setHyperUuid(hyper.getUuid());
}
// 모델학습 테이블 저장
ModelTrainMngDto.Basic modelDto = modelTrainMngCoreService.saveModel(req);
Long modelId = modelDto.getId();
UUID modelUuid = modelDto.getUuid();
// 모델학습 데이터셋 저장
modelTrainMngCoreService.saveModelDataset(modelId, req);
// 모델 데이터셋 mapping 저장
modelTrainMngCoreService.saveModelDatasetMap(
modelId, req.getTrainingDataset().getDatasetList());
// 모델 config 저장
modelTrainMngCoreService.saveModelConfig(modelId, req.getModelConfig());
// 데이터셋 임시파일 생성
trainJobService.createTmpFile(modelUuid);
return modelUuid;
}
/**
* 모델학습 모델학습 uuid config정보 조회
*
* @param uuid 모델학습 uuid
* @return
*/
public ModelConfigDto.Basic getModelConfigByModelId(UUID uuid) {
return modelTrainMngCoreService.findModelConfigByModelId(uuid);
}
/**
* 모델별 데이터셋 목록 조회
*
* @param req
* @return
*/
public List<SelectDataSet> getDatasetSelectList(DatasetReq req) {
if (req.getModelNo().equals(ModelType.G1.getId())) {
return modelTrainMngCoreService.getDatasetSelectG1List(req);
} else {
return modelTrainMngCoreService.getDatasetSelectG2G3List(req);
}
}
public Long findModelStep1InProgressCnt() {
return modelTrainMngCoreService.findModelStep1InProgressCnt();
}
}

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@@ -1,334 +0,0 @@
package com.kamco.cd.training.model.service;
import com.kamco.cd.training.common.exception.BadRequestException;
import com.kamco.cd.training.common.exception.NotFoundException;
import com.kamco.cd.training.model.dto.ModelMngDto;
import com.kamco.cd.training.postgres.core.DatasetCoreService;
import com.kamco.cd.training.postgres.core.ModelMngCoreService;
import com.kamco.cd.training.postgres.core.SystemMetricsCoreService;
import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
import java.util.List;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
@Transactional(readOnly = true)
@Slf4j
public class ModelTrainService {
private final ModelMngCoreService modelMngCoreService;
private final DatasetCoreService datasetCoreService;
private final SystemMetricsCoreService systemMetricsCoreService;
/**
* 학습 설정 통합 조회
*
* @return 학습 설정 폼 데이터
*/
public ModelMngDto.FormConfigRes getFormConfig() {
// 1. 현재 실행 중인 모델 확인
String runningModelUuid = modelMngCoreService.findRunningModelUuid();
boolean isTrainAvailable = (runningModelUuid == null);
// 2. 저장공간 체크 (10GB 미만 시 학습 불가)
if (isTrainAvailable) {
isTrainAvailable = systemMetricsCoreService.isStorageAvailableForTraining();
long availableMB = systemMetricsCoreService.getAvailableStorageMB();
log.info("저장공간 체크 완료: {}MB 사용 가능, 학습 가능 여부: {}", availableMB, isTrainAvailable);
}
// 3. 하이퍼파라미터 목록
List<ModelMngDto.HyperParamInfo> hyperParams =
null; // hyperParamCoreService.findAllActiveHyperParams();
// 4. 데이터셋 목록
List<ModelMngDto.DatasetInfo> datasets = datasetCoreService.findAllActiveDatasetsForTraining();
return ModelMngDto.FormConfigRes.builder()
.isTrainAvailable(isTrainAvailable)
.hyperParams(hyperParams)
.datasets(datasets)
.runningModelUuid(runningModelUuid)
.build();
}
/**
* 학습 시작
*
* @param trainReq 학습 시작 요청
* @return 학습 시작 응답
*/
@Transactional
public ModelMngDto.TrainStartRes startTraining(ModelMngDto.TrainStartReq trainReq) {
// 1. 동시 실행 방지 검증
String runningModelUuid = modelMngCoreService.findRunningModelUuid();
if (runningModelUuid != null) {
throw new BadRequestException(
"이미 실행 중인 학습이 있습니다. 학습은 한 번에 한 개만 실행할 수 있습니다. (실행 중인 모델: " + runningModelUuid + ")");
}
// 2. 저장공간 체크 (10GB 미만 시 학습 불가)
if (!systemMetricsCoreService.isStorageAvailableForTraining()) {
long availableMB = systemMetricsCoreService.getAvailableStorageMB();
long requiredMB = 10 * 1024; // 10GB
throw new BadRequestException(
String.format(
"저장공간이 부족하여 학습을 시작할 수 없습니다. (필요: %dMB, 사용 가능: %dMB)", requiredMB, availableMB));
}
// 3. 데이터셋 상태 검증 (COMPLETED 상태만 학습 가능)
validateDatasetStatus(trainReq.getDatasetIds());
// 4. 데이터 분할 비율 검증 (예: "7:2:1" 형식)
if (trainReq.getDatasetRatio() != null && !trainReq.getDatasetRatio().isEmpty()) {
validateDatasetRatio(trainReq.getDatasetRatio());
}
// 5. 학습 마스터 생성
ModelMasterEntity entity = modelMngCoreService.createTrainMaster(trainReq);
// 5. 데이터셋 매핑 생성
modelMngCoreService.createDatasetMappings(entity.getId(), trainReq.getDatasetIds());
// 6. 실제 UUID 사용
String uuid = entity.getUuid().toString();
log.info(
"학습 시작: uuid={}, hyperVer={}, epoch={}, datasets={}",
uuid,
trainReq.getHyperVer(),
trainReq.getEpoch(),
trainReq.getDatasetIds());
// TODO: 비동기 GPU 학습 프로세스 트리거 로직 추가
return ModelMngDto.TrainStartRes.builder().uuid(uuid).status(entity.getStatusCd()).build();
}
/**
* 데이터셋 상태 검증
*
* @param datasetIds 데이터셋 ID 목록
*/
private void validateDatasetStatus(List<Long> datasetIds) {
for (Long datasetId : datasetIds) {
try {
var dataset = datasetCoreService.getOneById(datasetId);
// COMPLETED 상태가 아닌 데이터셋이 포함되어 있으면 예외 발생
if (dataset.getStatus() == null || !"COMPLETED".equals(dataset.getStatus())) {
throw new BadRequestException(
String.format(
"학습에 사용할 수 없는 데이터셋입니다. (ID: %d, 상태: %s). COMPLETED 상태의 데이터셋만 선택 가능합니다.",
datasetId, dataset.getStatus() != null ? dataset.getStatus() : "NULL"));
}
log.debug("데이터셋 상태 검증 통과: ID={}, Status={}", datasetId, dataset.getStatus());
} catch (NotFoundException e) {
throw new BadRequestException("존재하지 않는 데이터셋입니다. ID: " + datasetId);
}
}
log.info("모든 데이터셋 상태 검증 완료: {} 개", datasetIds.size());
}
/**
* 데이터 분할 비율 검증
*
* @param datasetRatio 데이터셋 비율 (예: "7:2:1")
*/
private void validateDatasetRatio(String datasetRatio) {
try {
String[] parts = datasetRatio.split(":");
if (parts.length != 3) {
throw new BadRequestException("데이터 분할 비율은 'Training:Validation:Test' 형식이어야 합니다 (예: 7:2:1)");
}
int train = Integer.parseInt(parts[0].trim());
int validation = Integer.parseInt(parts[1].trim());
int test = Integer.parseInt(parts[2].trim());
int sum = train + validation + test;
if (sum != 10) {
throw new BadRequestException(
String.format("데이터 분할 비율의 합계는 10이어야 합니다. (현재 합계: %d, 입력값: %s)", sum, datasetRatio));
}
if (train <= 0 || validation < 0 || test < 0) {
throw new BadRequestException("데이터 분할 비율은 모두 0 이상이어야 합니다 (Training은 1 이상)");
}
log.info(
"데이터 분할 비율 검증 완료: Training={}0%, Validation={}0%, Test={}0%", train, validation, test);
} catch (NumberFormatException e) {
throw new BadRequestException("데이터 분할 비율은 숫자로만 구성되어야 합니다: " + datasetRatio);
}
}
// ==================== Resume Training (학습 재시작) ====================
//
// /**
// * 학습 재시작 정보 조회
// *
// * @param uuid 모델 UUID
// * @return 재시작 정보
// */
// public ModelMngDto.ResumeInfo getResumeInfo(String uuid) {
// ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
//
// return ModelMngDto.ResumeInfo.builder()
// .canResume(entity.getCanResume() != null && entity.getCanResume())
// .lastEpoch(entity.getLastCheckpointEpoch())
// .totalEpoch(entity.getEpochCnt())
// .checkpointPath(entity.getCheckpointPath())
// // .failedAt(
// // entity.getStopDttm() != null
// // ? entity.getStopDttm().atZone(java.time.ZoneId.systemDefault())
// // : null)
// .build();
// }
/**
* 학습 재시작
*
* @param uuid 모델 UUID
* @param resumeReq 재시작 요청
* @return 재시작 응답
*/
@Transactional
public ModelMngDto.ResumeResponse resumeTraining(
String uuid, ModelMngDto.ResumeRequest resumeReq) {
// ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
//
// // 재시작 가능 여부 검증
// if (entity.getCanResume() == null || !entity.getCanResume()) {
// throw new IllegalStateException("학습 재시작이 불가능한 모델입니다: " + uuid);
// }
//
// if (entity.getLastCheckpointEpoch() == null) {
// throw new IllegalStateException("Checkpoint가 존재하지 않습니다: " + uuid);
// }
//
// // 상태 업데이트
// entity.setStatusCd("RUNNING");
// entity.setProgressRate(0);
//
// // 총 Epoch 수 변경 (선택사항)
// if (resumeReq.getNewTotalEpoch() != null) {
// entity.setEpochCnt(resumeReq.getNewTotalEpoch());
// }
//
// log.info(
// "학습 재시작: uuid={}, resumeFromEpoch={}, totalEpoch={}",
// uuid,
// resumeReq.getResumeFromEpoch(),
// entity.getEpochCnt());
//
// // TODO: 비동기 GPU 학습 재시작 프로세스 트리거 로직 추가
// // - Checkpoint 파일 로드
// // - 지정된 Epoch부터 학습 재개
return null;
// ModelMngDto.ResumeResponse.builder()
// .uuid(uuid)
// .status(entity.getStatusCd())
// .resumedFromEpoch(resumeReq.getResumeFromEpoch())
// .build();
}
// ==================== Best Epoch Setting (Best Epoch 설정) ====================
/**
* Best Epoch 설정
*
* @param uuid 모델 UUID
* @param bestEpochReq Best Epoch 요청
* @return Best Epoch 응답
*/
@Transactional
public ModelMngDto.BestEpochResponse setBestEpoch(
String uuid, ModelMngDto.BestEpochRequest bestEpochReq) {
// ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
//
// // 1차 학습 완료 상태 검증
// if (!"STEP1_COMPLETED".equals(entity.getStatusCd())
// && !"STEP1".equals(entity.getProcessStep())) {
// log.warn(
// "Best Epoch 설정 시도: 현재 상태={}, processStep={}",
// entity.getStatusCd(),
// entity.getProcessStep());
// }
//
// Integer previousBestEpoch = entity.getConfirmedBestEpoch();
//
// // 사용자가 확정한 Best Epoch 설정
// entity.setConfirmedBestEpoch(bestEpochReq.getBestEpoch());
//
// // 2차 학습(Test) 단계로 상태 전이
// entity.setProcessStep("STEP2");
// entity.setStatusCd("STEP2_RUNNING");
// entity.setProgressRate(0);
// entity.setUpdatedDttm(java.time.ZonedDateTime.now());
//
// log.info(
// "Best Epoch 설정 및 2차 학습 시작: uuid={}, newBestEpoch={}, previousBestEpoch={}, reason={},
// newStatus={}",
// uuid,
// bestEpochReq.getBestEpoch(),
// previousBestEpoch,
// bestEpochReq.getReason(),
// entity.getStatusCd());
// TODO: 비동기 GPU 2차 학습(Test) 프로세스 트리거 로직 추가
// - Best Epoch 모델 로드
// - Test 데이터셋으로 성능 평가 실행
// - 완료 시 STEP2_COMPLETED 상태로 전환
return null;
// ModelMngDto.BestEpochResponse.builder()
// .uuid(uuid)
// .bestEpoch(entity.getBestEpoch()) // 자동 선택된 값
// .confirmedBestEpoch(entity.getConfirmedBestEpoch()) // 사용자 확정 값
// .previousBestEpoch(previousBestEpoch)
// .build();
}
/**
* Epoch별 성능 지표 조회
*
* @param uuid 모델 UUID
* @return Epoch별 성능 지표 목록
*/
public List<ModelMngDto.EpochMetric> getEpochMetrics(String uuid) {
// ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
//
// // TODO: 실제 학습 로그 파일이나 DB에서 Epoch별 성능 지표 조회
// // 현재는 샘플 데이터 반환
// List<ModelMngDto.EpochMetric> metrics = new java.util.ArrayList<>();
//
// if (entity.getEpochCnt() != null && entity.getBestEpoch() != null) {
// // 샘플 데이터 생성 (실제로는 학습 로그 파일 파싱 또는 별도 테이블 조회)
// for (int i = 1; i <= Math.min(entity.getEpochCnt(), 10); i++) {
// int epoch = entity.getBestEpoch() - 5 + i;
// if (epoch <= 0 || epoch > entity.getEpochCnt()) {
// continue;
// }
//
// metrics.add(
// ModelMngDto.EpochMetric.builder()
// .epoch(epoch)
// .mIoU(0.80 + (Math.random() * 0.15)) // 샘플 데이터
// .mFscore(0.85 + (Math.random() * 0.10)) // 샘플 데이터
// .loss(0.3 - (Math.random() * 0.15)) // 샘플 데이터
// .isBest(entity.getBestEpoch() != null && epoch == entity.getBestEpoch())
// .build());
// }
// }
//
// log.info("Epoch별 성능 지표 조회: uuid={}, metricsCount={}", uuid, metrics.size());
return null; // metrics;
}
}

View File

@@ -2,6 +2,7 @@ package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.common.service.BaseCoreService;
import com.kamco.cd.training.log.dto.AuditLogDto;
import com.kamco.cd.training.log.dto.AuditLogDto.DownloadReq;
import com.kamco.cd.training.postgres.repository.log.AuditLogRepository;
import java.time.LocalDate;
import lombok.RequiredArgsConstructor;
@@ -45,6 +46,11 @@ public class AuditLogCoreService
return auditLogRepository.findLogByAccount(searchRange, searchValue);
}
public Page<AuditLogDto.DownloadRes> findLogByAccount(
AuditLogDto.searchReq searchReq, DownloadReq downloadReq) {
return auditLogRepository.findDownloadLog(searchReq, downloadReq);
}
public Page<AuditLogDto.DailyDetail> getLogByDailyResult(
AuditLogDto.searchReq searchRange, LocalDate logDate) {
return auditLogRepository.findLogByDailyResult(searchRange, logDate);

View File

@@ -1,24 +1,23 @@
package com.kamco.cd.training.postgres.core;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.kamco.cd.training.common.enums.LearnDataRegister;
import com.kamco.cd.training.common.enums.LearnDataType;
import com.kamco.cd.training.common.exception.NotFoundException;
import com.kamco.cd.training.common.service.BaseCoreService;
import com.kamco.cd.training.dataset.dto.DatasetDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.Basic;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetObjRegDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.SearchReq;
import com.kamco.cd.training.model.dto.ModelMngDto;
import com.kamco.cd.training.postgres.entity.DatasetEntity;
import com.kamco.cd.training.postgres.entity.DatasetObjEntity;
import com.kamco.cd.training.postgres.repository.dataset.DatasetObjRepository;
import com.kamco.cd.training.postgres.repository.dataset.DatasetRepository;
import jakarta.transaction.Transactional;
import java.time.ZonedDateTime;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
@@ -187,101 +186,6 @@ public class DatasetCoreService
summaryReq.getDatasetIds().size(), totalMapSheets, totalFileSize, averageMapSheets);
}
/**
* 활성 데이터셋 전체 조회 (학습 관리용)
*
* @return 데이터셋 정보 목록
*/
public List<ModelMngDto.DatasetInfo> findAllActiveDatasetsForTraining() {
List<DatasetEntity> entities = datasetRepository.findByDeletedOrderByCreatedDttmDesc(false);
return entities.stream()
.map(
entity -> {
// totalSize를 읽기 쉬운 형식으로 변환
String totalSizeStr = formatFileSize(entity.getTotalSize());
// classCounts JSON 파싱
Map<String, Integer> classCounts = entity.getClassCounts();
return ModelMngDto.DatasetInfo.builder()
.id(entity.getId())
.title(entity.getTitle())
.totalItems(entity.getTotalItems())
.totalSize(totalSizeStr)
.classCounts(classCounts)
.memo(entity.getMemo())
.createdDttm(entity.getCreatedDttm())
.build();
})
.toList();
}
/**
* JSON 문자열을 Map으로 파싱
*
* @param jsonStr JSON 문자열
* @return 클래스별 카운트 맵
*/
private Map<String, Integer> parseClassCounts(String jsonStr) {
if (jsonStr == null || jsonStr.trim().isEmpty()) {
return new HashMap<>();
}
try {
return objectMapper.readValue(jsonStr, new TypeReference<Map<String, Integer>>() {});
} catch (Exception e) {
log.warn("클래스 통계 JSON 파싱 실패: {}", jsonStr, e);
return new HashMap<>();
}
}
/**
* 데이터셋의 클래스 통계 계산 및 저장
*
* @param datasetId 데이터셋 ID
* @param classCounts 클래스별 카운트
*/
public void updateClassCounts(Long datasetId, Map<String, Integer> classCounts) {
DatasetEntity entity =
datasetRepository
.findById(datasetId)
.orElseThrow(() -> new NotFoundException("데이터셋을 찾을 수 없습니다. ID: " + datasetId));
try {
entity.setClassCounts(classCounts);
datasetRepository.save(entity);
log.info("데이터셋 클래스 통계 업데이트 완료: datasetId={}, classes={}", datasetId, classCounts.keySet());
} catch (Exception e) {
log.error("클래스 통계 JSON 변환 실패: datasetId={}", datasetId, e);
}
}
/**
* 파일 크기를 읽기 쉬운 형식으로 변환
*
* @param size 바이트 단위 크기
* @return 형식화된 문자열 (예: "1.5GB")
*/
private String formatFileSize(Long size) {
if (size == null || size == 0) {
return "0 GB";
}
double gb = size / (1024.0 * 1024.0 * 1024.0);
if (gb >= 1.0) {
return String.format("%.2f GB", gb);
}
double mb = size / (1024.0 * 1024.0);
if (mb >= 1.0) {
return String.format("%.2f MB", mb);
}
double kb = size / 1024.0;
return String.format("%.2f KB", kb);
}
public Page<Basic> searchDatasetObjectList(SearchReq searchReq) {
Page<DatasetObjEntity> entityPage = datasetObjRepository.searchDatasetObjectList(searchReq);
return entityPage.map(DatasetObjEntity::toDto);
@@ -297,11 +201,53 @@ public class DatasetCoreService
return entity.getUuid();
}
public List<SelectDataSet> getDatasetSelectM1List(String modelType, String selectType) {
return datasetRepository.getDatasetSelectM1List(modelType, selectType);
/**
* 데이터셋 object class 조회
*
* @param uuid dataset uuid
* @param type compare, target
* @return
*/
public List<DatasetClass> findDatasetObjClassByUuid(UUID uuid, String type) {
return datasetObjRepository.findDatasetObjClassByUuid(uuid, type);
}
public List<SelectDataSet> getDatasetSelectM2M3List(String modelType, String selectType) {
return datasetRepository.getDatasetSelectM2M3List(modelType, selectType);
public Long getDatasetMaxStage(int compareYyyy, int targetYyyy) {
return datasetRepository.getDatasetMaxStage(compareYyyy, targetYyyy);
}
@Transactional
public Long insertDatasetMngData(DatasetMngRegDto mngRegDto) {
return datasetRepository.insertDatasetMngData(mngRegDto);
}
@Transactional
public void insertDatasetObj(DatasetObjRegDto objRegDto) {
datasetObjRepository.insertDatasetObj(objRegDto);
}
public String getFilePathByUUIDPathType(UUID uuid, String pathType) {
return datasetObjRepository.getFilePathByUUIDPathType(uuid, pathType);
}
public void insertDatasetTestObj(DatasetObjRegDto objRegDto) {
datasetObjRepository.insertDatasetTestObj(objRegDto);
}
public void updateDatasetUploadStatus(Long datasetUid) {
DatasetEntity entity =
datasetRepository
.findById(datasetUid)
.orElseThrow(() -> new NotFoundException("데이터셋을 찾을 수 없습니다. ID: " + datasetUid));
entity.setStatus(LearnDataRegister.COMPLETED.getId());
}
public void insertDatasetValObj(DatasetObjRegDto objRegDto) {
datasetObjRepository.insertDatasetValObj(objRegDto);
}
public Long findDatasetByUidExistsCnt(String uid) {
return datasetRepository.findDatasetByUidExistsCnt(uid);
}
}

View File

@@ -1,8 +1,12 @@
package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.common.dto.HyperParam;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.common.utils.UserUtil;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.Basic;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
import com.kamco.cd.training.postgres.repository.hyperparam.HyperParamRepository;
import java.time.ZonedDateTime;
@@ -15,28 +19,31 @@ import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
public class HyperParamCoreService {
private final HyperParamRepository hyperParamRepository;
private final UserUtil userUtil;
/**
* 하이퍼파라미터 등록
*
* @param createReq 등록 요청
* @param createReq ModelTrainMngDto.HyperParamDto
* @return 등록된 버전명
*/
public String createHyperParam(HyperParamDto.HyperParamCreateReq createReq) {
String firstVersion = getFirstHyperParamVersion();
public Basic createHyperParam(HyperParam createReq) {
String firstVersion = getFirstHyperParamVersion(createReq.getModel());
ModelHyperParamEntity entity = new ModelHyperParamEntity();
entity.setHyperVer(firstVersion);
applyHyperParam(entity, createReq);
// user
entity.setCreatedUid(userUtil.getId());
ModelHyperParamEntity resultEntity = hyperParamRepository.save(entity);
return resultEntity.getHyperVer();
Basic basic = new Basic();
basic.setUuid(resultEntity.getUuid());
basic.setHyperVer(resultEntity.getHyperVer());
return basic;
}
/**
@@ -46,12 +53,15 @@ public class HyperParamCoreService {
* @param createReq 등록 요청
* @return ver
*/
public String updateHyperParam(UUID uuid, HyperParamDto.HyperParamCreateReq createReq) {
public String updateHyperParam(UUID uuid, HyperParam createReq) {
ModelHyperParamEntity entity =
hyperParamRepository
.findHyperParamByUuid(uuid)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
if (entity.getIsDefault()) {
throw new CustomApiException("UNPROCESSABLE_ENTITY_UPDATE", HttpStatus.UNPROCESSABLE_ENTITY);
}
applyHyperParam(entity, createReq);
// user
@@ -61,49 +71,6 @@ public class HyperParamCoreService {
return entity.getHyperVer();
}
private void applyHyperParam(
ModelHyperParamEntity entity, HyperParamDto.HyperParamCreateReq createReq) {
// Important
entity.setBackbone(createReq.getBackbone());
entity.setInputSize(createReq.getInputSize());
entity.setCropSize(createReq.getCropSize());
entity.setBatchSize(createReq.getBatchSize());
// Data
entity.setTrainNumWorkers(createReq.getTrainNumWorkers());
entity.setValNumWorkers(createReq.getValNumWorkers());
entity.setTestNumWorkers(createReq.getTestNumWorkers());
entity.setTrainShuffle(createReq.getTrainShuffle());
entity.setTrainPersistent(createReq.getTrainPersistent());
entity.setValPersistent(createReq.getValPersistent());
// Model Architecture
entity.setDropPathRate(createReq.getDropPathRate());
entity.setFrozenStages(createReq.getFrozenStages());
entity.setNeckPolicy(createReq.getNeckPolicy());
entity.setClassWeight(createReq.getClassWeight());
entity.setDecoderChannels(createReq.getDecoderChannels());
// Loss & Optimization
entity.setLearningRate(createReq.getLearningRate());
entity.setWeightDecay(createReq.getWeightDecay());
entity.setLayerDecayRate(createReq.getLayerDecayRate());
entity.setDdpFindUnusedParams(createReq.getDdpFindUnusedParams());
entity.setIgnoreIndex(createReq.getIgnoreIndex());
entity.setNumLayers(createReq.getNumLayers());
// Evaluation
entity.setMetrics(createReq.getMetrics());
entity.setSaveBest(createReq.getSaveBest());
entity.setSaveBestRule(createReq.getSaveBestRule());
entity.setValInterval(createReq.getValInterval());
entity.setLogInterval(createReq.getLogInterval());
entity.setVisInterval(createReq.getVisInterval());
// memo
entity.setMemo(createReq.getMemo());
}
/**
* 하이퍼파라미터 삭제
*
@@ -115,8 +82,13 @@ public class HyperParamCoreService {
.findHyperParamByUuid(uuid)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
if (entity.getHyperVer().equals("HPs_0001")) {
throw new CustomApiException("CONFLICT", HttpStatus.CONFLICT, "HPs_0001 버전은 삭제할수 없습니다.");
// if (entity.getHyperVer().equals("HPs_0001")) {
// throw new CustomApiException("UNPROCESSABLE_ENTITY", HttpStatus.UNPROCESSABLE_ENTITY);
// }
// 디폴트면 삭제불가
if (entity.getIsDefault()) {
throw new CustomApiException("UNPROCESSABLE_ENTITY", HttpStatus.UNPROCESSABLE_ENTITY);
}
entity.setDelYn(true);
@@ -129,11 +101,12 @@ public class HyperParamCoreService {
*
* @return
*/
public HyperParamDto.Basic getInitHyperParam() {
ModelHyperParamEntity entity = new ModelHyperParamEntity();
entity.setUuid(null);
entity.setHyperVer(null);
entity.setCreatedDttm(null);
public HyperParamDto.Basic getInitHyperParam(ModelType model) {
ModelHyperParamEntity entity =
hyperParamRepository.getHyperParamByType(model).stream()
.filter(e -> e.getIsDefault() == Boolean.TRUE)
.findFirst()
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
return entity.toDto();
}
@@ -153,29 +126,91 @@ public class HyperParamCoreService {
/**
* 하이퍼파라미터 목록 조회
*
* @param model
* @param req
* @return
*/
public Page<HyperParamDto.List> findByHyperVerList(HyperParamDto.SearchReq req) {
return hyperParamRepository.findByHyperVerList(req);
public Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req) {
return hyperParamRepository.findByHyperVerList(model, req);
}
/**
* 하이퍼파라미터 버전 조회
*
* @param model 모델 타입
* @return ver
*/
public String getFirstHyperParamVersion() {
public String getFirstHyperParamVersion(ModelType model) {
return hyperParamRepository
.findHyperParamVer()
.findHyperParamVerByModelType(model)
.map(ModelHyperParamEntity::getHyperVer)
.map(this::increase)
.orElse("HPs_0001");
.map(ver -> increase(ver, model))
.orElse(model.name() + "_000001");
}
private String increase(String hyperVer) {
String prefix = "HPs_";
/**
* 하이퍼 파라미터의 버전을 증가시킨다.
*
* @param hyperVer 현재 버전
* @param modelType 모델 타입
* @return 증가된 버전
*/
private String increase(String hyperVer, ModelType modelType) {
String prefix = modelType.name() + "_";
int num = Integer.parseInt(hyperVer.substring(prefix.length()));
return prefix + String.format("%04d", num + 1);
return prefix + String.format("%06d", num + 1);
}
private void applyHyperParam(ModelHyperParamEntity entity, HyperParam src) {
ModelType model = src.getModel();
// 하드코딩 모델별로 다른경우 250212 bbn 하드코딩
if (model == ModelType.G3) {
entity.setCropSize("512,512");
} else {
entity.setCropSize("256,256");
}
entity.setCropSize(src.getCropSize());
// Important
entity.setModelType(model); // 20250212 modeltype추가
entity.setBackbone(src.getBackbone());
entity.setInputSize(src.getInputSize());
entity.setBatchSize(src.getBatchSize());
// Data
entity.setTrainNumWorkers(src.getTrainNumWorkers());
entity.setValNumWorkers(src.getValNumWorkers());
entity.setTestNumWorkers(src.getTestNumWorkers());
entity.setTrainShuffle(src.getTrainShuffle());
entity.setTrainPersistent(src.getTrainPersistent());
entity.setValPersistent(src.getValPersistent());
// Model Architecture
entity.setDropPathRate(src.getDropPathRate());
entity.setFrozenStages(src.getFrozenStages());
entity.setNeckPolicy(src.getNeckPolicy());
entity.setClassWeight(src.getClassWeight());
entity.setDecoderChannels(src.getDecoderChannels());
// Loss & Optimization
entity.setLearningRate(src.getLearningRate());
entity.setWeightDecay(src.getWeightDecay());
entity.setLayerDecayRate(src.getLayerDecayRate());
entity.setDdpFindUnusedParams(src.getDdpFindUnusedParams());
entity.setIgnoreIndex(src.getIgnoreIndex());
entity.setNumLayers(src.getNumLayers());
// Evaluation
entity.setMetrics(src.getMetrics());
entity.setSaveBest(src.getSaveBest());
entity.setSaveBestRule(src.getSaveBestRule());
entity.setValInterval(src.getValInterval());
entity.setLogInterval(src.getLogInterval());
entity.setVisInterval(src.getVisInterval());
// memo
entity.setMemo(src.getMemo());
}
}

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@@ -1,159 +0,0 @@
package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.common.exception.BadRequestException;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.common.exception.NotFoundException;
import com.kamco.cd.training.common.utils.UserUtil;
import com.kamco.cd.training.model.dto.ModelMngDto;
import com.kamco.cd.training.model.dto.ModelTrainDto;
import com.kamco.cd.training.model.dto.ModelTrainDto.Basic;
import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
import com.kamco.cd.training.postgres.repository.model.ModelDatasetMappRepository;
import com.kamco.cd.training.postgres.repository.model.ModelMngRepository;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.http.HttpStatus;
import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
public class ModelMngCoreService {
private final ModelMngRepository modelMngRepository;
private final ModelDatasetMappRepository modelDatasetMappRepository;
private final UserUtil userUtil;
/**
* 모델 목록 조회
*
* @param searchReq 검색 조건
* @return 페이징 처리된 모델 목록
*/
public Page<Basic> findByModelList(ModelTrainDto.SearchReq searchReq) {
Page<ModelMasterEntity> entityPage = modelMngRepository.findByModels(searchReq);
return entityPage.map(ModelMasterEntity::toDto);
}
/**
* 학습모델 삭제
*
* @param uuid
*/
public void deleteModel(UUID uuid) {
ModelMasterEntity entity =
modelMngRepository
.findByUuid(uuid)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
entity.setDelYn(true);
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
/**
* 모델 상세 조회
*
* @param modelUid 모델 UID
* @return 모델 상세 정보
*/
public ModelMngDto.Detail getModelDetail(Long modelUid) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelUid)
.orElseThrow(() -> new NotFoundException("모델을 찾을 수 없습니다. ID: " + modelUid));
if (Boolean.TRUE.equals(entity.getDelYn())) {
throw new NotFoundException("삭제된 모델입니다. ID: " + modelUid);
}
return null;
// ModelMngDto.Detail.builder()
// .uuid(entity.getUuid().toString())
// .modelVer(entity.getModelVer())
// .epochVer(entity.getEpochVer())
// .processStep(entity.getProcessStep())
// .trainStartDttm(entity.getTrainStartDttm())
// .epochCnt(entity.getEpochCnt())
// .datasetRatio(entity.getDatasetRatio())
// .bestEpoch(entity.getBestEpoch())
// .confirmedBestEpoch(entity.getConfirmedBestEpoch())
// .step1EndDttm(entity.getStep1EndDttm())
// .step1Duration(entity.getStep1Duration())
// .step2EndDttm(entity.getStep2EndDttm())
// .step2Duration(entity.getStep2Duration())
// .progressRate(entity.getProgressRate())
// .createdDttm(entity.getCreatedDttm())
// .updatedDttm(entity.getUpdatedDttm())
// .modelPath(entity.getModelPath())
// .errorMsg(entity.getErrorMsg())
// .build();
}
/**
* 현재 실행 중인 모델 확인
*
* @return 실행 중인 모델 UUID (없으면 null)
*/
public String findRunningModelUuid() {
return modelMngRepository
.findFirstByStatusCdAndDelYn("RUNNING", false)
.map(entity -> entity.getUuid().toString())
.orElse(null);
}
/**
* 학습 마스터 생성
*
* @param trainReq 학습 시작 요청
* @return 생성된 모델 Entity
*/
public ModelMasterEntity createTrainMaster(ModelMngDto.TrainStartReq trainReq) {
// ModelMasterEntity entity = new ModelMasterEntity();
// entity.setModelVer(trainReq.getHyperVer());
// entity.setEpochVer(String.valueOf(trainReq.getEpoch()));
// entity.setProcessStep("STEP1");
// entity.setTrainStartDttm(ZonedDateTime.now());
// entity.setEpochCnt(trainReq.getEpoch());
// entity.setDatasetRatio(trainReq.getDatasetRatio());
// entity.setDelYn(false);
// entity.setCreatedDttm(ZonedDateTime.now());
// entity.setProgressRate(0);
return null; // modelMngRepository.save(entity);
}
/**
* 데이터셋 매핑 생성
*
* @param modelUid 모델 UID
* @param datasetIds 데이터셋 ID 목록
*/
public void createDatasetMappings(Long modelUid, List<Long> datasetIds) {
for (Long datasetId : datasetIds) {
ModelDatasetMappEntity mapping = new ModelDatasetMappEntity();
mapping.setModelUid(modelUid);
mapping.setDatasetUid(datasetId);
mapping.setDatasetType("TRAIN");
modelDatasetMappRepository.save(mapping);
}
}
/**
* UUID로 모델 조회
*
* @param uuid UUID
* @return 모델 Entity
*/
public ModelMasterEntity findByUuid(String uuid) {
try {
java.util.UUID uuidObj = java.util.UUID.fromString(uuid);
return modelMngRepository
.findByUuid(uuidObj)
.orElseThrow(() -> new NotFoundException("모델을 찾을 수 없습니다. UUID: " + uuid));
} catch (IllegalArgumentException e) {
throw new BadRequestException("잘못된 UUID 형식입니다: " + uuid);
}
}
}

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package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.postgres.repository.train.ModelTestMetricsJobRepository;
import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ModelMetricJsonDto;
import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ModelTestFileName;
import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
import java.time.ZonedDateTime;
import java.util.List;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
public class ModelTestMetricsJobCoreService {
private final ModelTestMetricsJobRepository modelTestMetricsJobRepository;
@Transactional
public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
modelTestMetricsJobRepository.updateModelMetricsTrainSaveYn(modelId, stepNo);
}
// Test 로직 시작
public List<ResponsePathDto> getTestMetricSaveNotYetModelIds() {
return modelTestMetricsJobRepository.getTestMetricSaveNotYetModelIds();
}
public void insertModelMetricsTest(List<Object[]> batchArgs) {
modelTestMetricsJobRepository.insertModelMetricsTest(batchArgs);
}
public ModelMetricJsonDto getTestMetricPackingInfo(Long modelId) {
return modelTestMetricsJobRepository.getTestMetricPackingInfo(modelId);
}
public ModelTestFileName findModelTestFileNames(Long modelId) {
return modelTestMetricsJobRepository.findModelTestFileNames(modelId);
}
@Transactional
public void updatePackingStart(Long modelId, ZonedDateTime now) {
modelTestMetricsJobRepository.updatePackingStart(modelId, now);
}
@Transactional
public void updatePackingEnd(Long modelId, ZonedDateTime now, String failSuccState) {
modelTestMetricsJobRepository.updatePackingEnd(modelId, now, failSuccState);
}
}

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package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.common.exception.BadRequestException;
import com.kamco.cd.training.common.exception.NotFoundException;
import com.kamco.cd.training.common.utils.UserUtil;
import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelFileInfo;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferHyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.ModelProgressStepDto;
import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
import com.kamco.cd.training.postgres.repository.model.ModelConfigRepository;
import com.kamco.cd.training.postgres.repository.model.ModelDetailRepository;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
public class ModelTrainDetailCoreService {
private final ModelDetailRepository modelDetailRepository;
private final ModelConfigRepository modelConfigRepository;
private final UserUtil userUtil;
/**
* UUID로 모델 조회
*
* @param uuid UUID
* @return 모델 Entity
*/
public ModelMasterEntity findByUuid(String uuid) {
try {
UUID uuidObj = UUID.fromString(uuid);
return modelDetailRepository
.findByUuid(uuidObj)
.orElseThrow(() -> new NotFoundException("모델을 찾을 수 없습니다. UUID: " + uuid));
} catch (IllegalArgumentException e) {
throw new BadRequestException("잘못된 UUID 형식입니다: " + uuid);
}
}
/**
* 상세정보 페이지 > 요약정보
*
* @param uuid
* @return
*/
public DetailSummary getModelDetailSummary(UUID uuid) {
return modelDetailRepository.getModelDetailSummary(uuid);
}
/**
* 하이퍼 파리미터 요약정보
*
* @param uuid 모델마스터 uuid
* @return
*/
public HyperSummary getByModelHyperParamSummary(UUID uuid) {
return modelDetailRepository.getByModelHyperParamSummary(uuid);
}
public TransferHyperSummary getTransferHyperSummary(UUID uuid) {
return modelDetailRepository.getByModelTransferHyperParamSummary(uuid);
}
public List<MappingDataset> getByModelMappingDataset(UUID uuid) {
return modelDetailRepository.getByModelMappingDataset(uuid);
}
public Basic findByModelByUUID(UUID uuid) {
ModelMasterEntity entity = modelDetailRepository.findByModelByUUID(uuid);
return entity.toDto();
}
/**
* 모델 학습별 config 정보 조회
*
* @param modelId
* @return
*/
public ModelConfigDto.Basic findModelConfig(Long modelId) {
return modelConfigRepository.findModelConfigByModelId(modelId).orElse(null);
}
public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
return modelDetailRepository.getModelTrainMetricResult(uuid);
}
public List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid) {
return modelDetailRepository.getModelValidationMetricResult(uuid);
}
public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
return modelDetailRepository.getModelTestMetricResult(uuid);
}
public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
return modelDetailRepository.getModelTrainBestEpoch(uuid);
}
public ModelFileInfo getModelTrainFileInfo(UUID uuid) {
return modelDetailRepository.getModelTrainFileInfo(uuid);
}
public List<ModelProgressStepDto> findModelTrainProgressInfo(UUID uuid) {
return modelDetailRepository.findModelTrainProgressInfo(uuid);
}
public Basic findByModelBeforeId(Long beforeModelId) {
ModelMasterEntity entity = modelDetailRepository.findByModelBeforeId(beforeModelId);
return entity.toDto();
}
}

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package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.postgres.entity.ModelTrainJobEntity;
import com.kamco.cd.training.postgres.repository.train.ModelTrainJobRepository;
import com.kamco.cd.training.train.dto.ModelTrainJobDto;
import java.time.ZonedDateTime;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import lombok.RequiredArgsConstructor;
import lombok.extern.log4j.Log4j2;
import org.springframework.http.HttpStatus;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Log4j2
@Service
@RequiredArgsConstructor
@Transactional(readOnly = true)
public class ModelTrainJobCoreService {
private final ModelTrainJobRepository modelTrainJobRepository;
public int findMaxAttemptNo(Long modelId) {
return modelTrainJobRepository.findMaxAttemptNo(modelId);
}
public Optional<ModelTrainJobDto> findLatestByModelId(Long modelId) {
return modelTrainJobRepository.findLatestByModelId(modelId).map(ModelTrainJobEntity::toDto);
}
public Optional<ModelTrainJobDto> findById(Long jobId) {
return modelTrainJobRepository.findById(jobId).map(ModelTrainJobEntity::toDto);
}
/** QUEUED Job 생성 */
@Transactional
public Long createQueuedJob(
Long modelId, int attemptNo, Map<String, Object> paramsJson, ZonedDateTime queuedDttm) {
ModelTrainJobEntity job = new ModelTrainJobEntity();
job.setModelId(modelId);
job.setAttemptNo(attemptNo);
job.setStatusCd("QUEUED");
job.setParamsJson(paramsJson);
job.setQueuedDttm(queuedDttm != null ? queuedDttm : ZonedDateTime.now());
modelTrainJobRepository.save(job);
modelTrainJobRepository.flush();
return job.getId();
}
/** 실행 시작 처리 */
@Transactional
public void markRunning(
Long jobId,
String containerName,
String logPath,
String lockedBy,
Integer totalEpoch,
String jobType) {
ModelTrainJobEntity job =
modelTrainJobRepository
.findById(jobId)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
job.setStatusCd("RUNNING");
job.setContainerName(containerName);
job.setLogPath(logPath);
job.setStartedDttm(ZonedDateTime.now());
job.setLockedDttm(ZonedDateTime.now());
job.setLockedBy(lockedBy);
job.setJobType(jobType);
if (totalEpoch != null) {
job.setTotalEpoch(totalEpoch);
}
}
/**
* 성공 처리
*
* @param jobId
* @param exitCode
*/
@Transactional
public void markSuccess(Long jobId, int exitCode) {
ModelTrainJobEntity job =
modelTrainJobRepository
.findById(jobId)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
job.setStatusCd("SUCCESS");
job.setExitCode(exitCode);
job.setFinishedDttm(ZonedDateTime.now());
}
/**
* 실패 처리
*
* @param jobId
* @param exitCode
* @param errorMessage
*/
@Transactional
public void markFailed(Long jobId, Integer exitCode, String errorMessage) {
ModelTrainJobEntity job =
modelTrainJobRepository
.findById(jobId)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
job.setStatusCd("FAILED");
job.setExitCode(exitCode);
job.setErrorMessage(errorMessage);
job.setFinishedDttm(ZonedDateTime.now());
log.info("[TRAIN JOB FAIL] jobId={}, modelId={}", jobId, errorMessage);
}
/**
* 중단됨 처리
*
* @param jobId
* @param exitCode
* @param errorMessage
*/
@Transactional
public void markPaused(Long jobId, Integer exitCode, String errorMessage) {
ModelTrainJobEntity job =
modelTrainJobRepository
.findById(jobId)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
job.setStatusCd("STOPPED");
job.setExitCode(exitCode);
job.setErrorMessage(errorMessage);
job.setFinishedDttm(ZonedDateTime.now());
log.info("[TRAIN JOB FAIL] jobId={}, modelId={}", jobId, errorMessage);
}
/** 취소 처리 */
@Transactional
public void markCanceled(Long jobId) {
ModelTrainJobEntity job =
modelTrainJobRepository
.findById(jobId)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
job.setStatusCd("STOPPED");
job.setFinishedDttm(ZonedDateTime.now());
}
@Transactional
public void updateEpoch(String containerName, Integer epoch) {
ModelTrainJobEntity job =
modelTrainJobRepository
.findByContainerName(containerName)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
job.setCurrentEpoch(epoch);
if (Objects.equals(job.getTotalEpoch(), epoch)) {}
}
public void insertModelTestTrainingRun(Long modelId, Long jobId, int epoch) {
modelTrainJobRepository.insertModelTestTrainingRun(modelId, jobId, epoch);
}
/**
* 실행중인 학습이 있는지 조회
*
* @return
*/
public List<ModelTrainJobDto> findRunningJobs() {
List<ModelTrainJobEntity> entity = modelTrainJobRepository.findRunningJobs();
if (entity == null || entity.isEmpty()) {
return Collections.emptyList();
}
return entity.stream().map(ModelTrainJobEntity::toDto).toList();
}
}

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package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.postgres.repository.train.ModelTrainMetricsJobRepository;
import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
import java.util.List;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
public class ModelTrainMetricsJobCoreService {
private final ModelTrainMetricsJobRepository modelTrainMetricsJobRepository;
public List<ResponsePathDto> getTrainMetricSaveNotYetModelIds() {
return modelTrainMetricsJobRepository.getTrainMetricSaveNotYetModelIds();
}
public void insertModelMetricsTrain(List<Object[]> batchArgs) {
modelTrainMetricsJobRepository.insertModelMetricsTrain(batchArgs);
}
@Transactional
public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
modelTrainMetricsJobRepository.updateModelMetricsTrainSaveYn(modelId, stepNo);
}
public void insertModelMetricsValidation(List<Object[]> batchArgs) {
modelTrainMetricsJobRepository.insertModelMetricsValidation(batchArgs);
}
@Transactional
public void updateModelSelectedBestEpoch(Long modelId, Integer epoch) {
modelTrainMetricsJobRepository.updateModelSelectedBestEpoch(modelId, epoch);
}
}

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package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.common.enums.HyperParamSelectType;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.common.enums.TrainStatusType;
import com.kamco.cd.training.common.exception.BadRequestException;
import com.kamco.cd.training.common.exception.CustomApiException;
import com.kamco.cd.training.common.utils.UserUtil;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.ListDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto.TrainingDataset;
import com.kamco.cd.training.postgres.entity.ModelConfigEntity;
import com.kamco.cd.training.postgres.entity.ModelDatasetEntity;
import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
import com.kamco.cd.training.postgres.repository.dataset.DatasetRepository;
import com.kamco.cd.training.postgres.repository.hyperparam.HyperParamRepository;
import com.kamco.cd.training.postgres.repository.model.ModelConfigRepository;
import com.kamco.cd.training.postgres.repository.model.ModelDatasetMappRepository;
import com.kamco.cd.training.postgres.repository.model.ModelDatasetRepository;
import com.kamco.cd.training.postgres.repository.model.ModelMngRepository;
import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
import com.kamco.cd.training.train.dto.TrainRunRequest;
import java.time.ZonedDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.http.HttpStatus;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Propagation;
import org.springframework.transaction.annotation.Transactional;
@Service
@RequiredArgsConstructor
public class ModelTrainMngCoreService {
private final ModelMngRepository modelMngRepository;
private final ModelDatasetRepository modelDatasetRepository;
private final ModelDatasetMappRepository modelDatasetMapRepository;
private final ModelConfigRepository modelConfigRepository;
private final HyperParamRepository hyperParamRepository;
private final DatasetRepository datasetRepository;
private final UserUtil userUtil;
/**
* 모델 목록 조회
*
* @param searchReq 검색 조건
* @return 페이징 처리된 모델 목록
*/
public Page<ListDto> findByModelList(ModelTrainMngDto.SearchReq searchReq) {
// Page<ModelMasterEntity> entityPage = modelMngRepository.findByModels(searchReq);
// return entityPage.map(ModelMasterEntity::toDto);
return modelMngRepository.findByModels(searchReq);
}
/**
* 학습모델 삭제
*
* @param uuid
*/
public void deleteModel(UUID uuid) {
ModelMasterEntity entity =
modelMngRepository
.findByUuid(uuid)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
entity.setDelYn(true);
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
/**
* 모델학습 저장
*
* @param addReq
* @return
*/
public ModelTrainMngDto.Basic saveModel(ModelTrainMngDto.AddReq addReq) {
ModelMasterEntity entity = new ModelMasterEntity();
ModelHyperParamEntity hyperParamEntity = new ModelHyperParamEntity();
// 최적화 파라미터는 모델 type의 디폴트사용
if (HyperParamSelectType.OPTIMIZED.getId().equals(addReq.getHyperParamType())) {
ModelType modelType = ModelType.getValueData(addReq.getModelNo());
hyperParamEntity =
hyperParamRepository.getHyperParamByType(modelType).stream()
.filter(e -> e.getIsDefault() == Boolean.TRUE)
.findFirst()
.orElse(null);
// hyperParamEntity = hyperParamRepository.findByHyperVer("HPs_0001").orElse(null);
} else {
hyperParamEntity =
hyperParamRepository.findHyperParamByUuid(addReq.getHyperUuid()).orElse(null);
}
if (hyperParamEntity == null || hyperParamEntity.getHyperVer() == null) {
throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND);
}
// 하이퍼 파라미터 사용 횟수 업데이트
hyperParamEntity.setTotalUseCnt(
hyperParamEntity.getTotalUseCnt() == null ? 1 : hyperParamEntity.getTotalUseCnt() + 1);
// 최근 사용일시 업데이트
hyperParamEntity.setLastUsedDttm(ZonedDateTime.now());
String modelVer =
String.join(
".", addReq.getModelNo(), hyperParamEntity.getHyperVer(), entity.getUuid().toString());
entity.setModelVer(modelVer);
entity.setHyperParamId(hyperParamEntity.getId());
entity.setModelNo(addReq.getModelNo());
entity.setTrainType(addReq.getTrainType()); // 일반, 전이
entity.setBeforeModelId(addReq.getBeforeModelId());
entity.setStatusCd(TrainStatusType.READY.getId());
entity.setStep1State(TrainStatusType.READY.getId());
entity.setCreatedUid(userUtil.getId());
ModelMasterEntity resultEntity = modelMngRepository.save(entity);
ModelTrainMngDto.Basic result = new ModelTrainMngDto.Basic();
result.setId(resultEntity.getId());
result.setUuid(resultEntity.getUuid());
return result;
}
/**
* data set 저장
*
* @param modelId 저장한 모델 학습 id
* @param addReq 요청 파라미터
*/
public void saveModelDataset(Long modelId, ModelTrainMngDto.AddReq addReq) {
TrainingDataset dataset = addReq.getTrainingDataset();
ModelMasterEntity modelMasterEntity = new ModelMasterEntity();
ModelDatasetEntity datasetEntity = new ModelDatasetEntity();
modelMasterEntity.setId(modelId);
datasetEntity.setModel(modelMasterEntity);
if (addReq.getModelNo().equals(ModelType.G1.getId())) {
datasetEntity.setBuildingCnt(dataset.getSummary().getBuildingCnt());
datasetEntity.setContainerCnt(dataset.getSummary().getContainerCnt());
} else if (addReq.getModelNo().equals(ModelType.G2.getId())) {
datasetEntity.setWasteCnt(dataset.getSummary().getWasteCnt());
} else if (addReq.getModelNo().equals(ModelType.G3.getId())) {
datasetEntity.setLandCoverCnt(dataset.getSummary().getLandCoverCnt());
}
datasetEntity.setCreatedUid(userUtil.getId());
// data set 저장
modelDatasetRepository.save(datasetEntity);
}
/**
* 학습모델 수정
*
* @param modelId
* @param req
*/
public void updateModelMaster(Long modelId, ModelTrainMngDto.UpdateReq req) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
// 임시폴더 UID업데이트
if (req.getRequestPath() != null && !req.getRequestPath().isEmpty()) {
entity.setRequestPath(req.getRequestPath());
}
}
/**
* 모델 데이터셋 mapping 테이블 저장
*
* @param modelId 모델학습 id
* @param datasetList 선택한 data set
*/
public void saveModelDatasetMap(Long modelId, List<Long> datasetList) {
for (Long datasetId : datasetList) {
ModelDatasetMappEntity mapEntity = new ModelDatasetMappEntity();
mapEntity.setModelUid(modelId);
mapEntity.setDatasetUid(datasetId);
modelDatasetMapRepository.save(mapEntity);
}
}
/**
* 모델학습 config 저장
*
* @param modelId 모델학습 id
* @param req 요청 파라미터
* @return
*/
public void saveModelConfig(Long modelId, ModelTrainMngDto.ModelConfig req) {
ModelMasterEntity modelMasterEntity = new ModelMasterEntity();
ModelConfigEntity entity = new ModelConfigEntity();
modelMasterEntity.setId(modelId);
entity.setModel(modelMasterEntity);
entity.setEpochCount(
req.getEpochCnt() < 10
? 10
: req.getEpochCnt()); // 에폭이 10 이하이면 10으로 고정하기. 10 이상 에폭으로 해야 best 에폭 파일이 생성되어 내려옴
entity.setTrainPercent(req.getTrainingCnt());
entity.setValidationPercent(req.getValidationCnt());
entity.setTestPercent(req.getTestCnt());
entity.setMemo(req.getMemo());
modelConfigRepository.save(entity);
}
/**
* 데이터셋 매핑 생성
*
* @param modelUid 모델 UID
* @param datasetIds 데이터셋 ID 목록
*/
public void createDatasetMappings(Long modelUid, List<Long> datasetIds) {
for (Long datasetId : datasetIds) {
ModelDatasetMappEntity mapping = new ModelDatasetMappEntity();
mapping.setModelUid(modelUid);
mapping.setDatasetUid(datasetId);
mapping.setDatasetType("TRAIN");
modelDatasetMapRepository.save(mapping);
}
}
/**
* UUID로 모델 조회
*
* @param uuid UUID
* @return 모델 Entity
*/
public ModelMasterEntity findByUuid(UUID uuid) {
try {
return modelMngRepository
.findByUuid(uuid)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
} catch (IllegalArgumentException e) {
throw new BadRequestException("잘못된 UUID 형식입니다: " + uuid);
}
}
/**
* uuid로 model id 조회
*
* @param uuid
* @return
*/
public Long findModelIdByUuid(UUID uuid) {
ModelMasterEntity entity =
modelMngRepository
.findByUuid(uuid)
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
return entity.getId();
}
/**
* 모델학습 아이디로 config정보 조회
*
* @param uuid
* @return
*/
public ModelConfigDto.Basic findModelConfigByModelId(UUID uuid) {
ModelMasterEntity modelEntity = findByUuid(uuid);
return modelConfigRepository
.findModelConfigByModelId(modelEntity.getId())
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
}
public ModelConfigDto.TransferBasic findModelTransferConfigByModelId(UUID uuid) {
ModelMasterEntity modelEntity = findByUuid(uuid);
return modelConfigRepository
.findModelTransferConfigByModelId(modelEntity.getId())
.orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
}
/**
* 데이터셋 G1 목록
*
* @param req
* @return
*/
public List<SelectDataSet> getDatasetSelectG1List(DatasetReq req) {
return datasetRepository.getDatasetSelectG1List(req);
}
/**
* 전이학습 데이터셋 G1 목록
*
* @param modelId 모델 Id
* @return
*/
public List<SelectTransferDataSet> getDatasetTransferSelectG1List(Long modelId) {
return datasetRepository.getDatasetTransferSelectG1List(modelId);
}
/**
* 데이터셋 G2, G3 목록
*
* @param req
* @return
*/
public List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req) {
return datasetRepository.getDatasetSelectG2G3List(req);
}
/**
* 전이학습 데이터셋 G2, G3 목록
*
* @param modelId 모델 Id
* @param modelNo G2, G3
* @return
*/
public List<SelectTransferDataSet> getDatasetTransferSelectG2G3List(
Long modelId, String modelNo) {
return datasetRepository.getDatasetTransferSelectG2G3List(modelId, modelNo);
}
/**
* 모델관리 조회
*
* @param id
* @return
*/
public ModelTrainMngDto.Basic findModelById(Long id) {
ModelMasterEntity entity =
modelMngRepository
.findById(id)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + id));
return entity.toDto();
}
/** 마스터를 IN_PROGRESS로 전환하고, 현재 실행 jobId를 연결 - UI/중단/상태조회 모두 currentAttemptId를 기준으로 동작 */
@Transactional
public void markInProgress(Long modelId, Long jobId) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
master.setCurrentAttemptId(jobId);
// 필요하면 시작시간도 여기서 찍어줌
modelMngRepository.flush();
}
/** 마지막 에러 메시지 초기화 - 재시작/새 실행 때 이전 에러 흔적 제거 */
@Transactional
public void clearLastError(Long modelId) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setLastError(null);
modelMngRepository.flush();
}
/** 중단 처리(옵션) - cancel에서 쓰려고 하면 같이 구현 */
@Transactional
public void markStopped(Long modelId) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.STOPPED.getId());
}
/** 완료 처리(옵션) - Worker가 성공 시 호출 */
@Transactional
public void markCompleted(Long modelId) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.COMPLETED.getId());
}
/**
* step 1오류 처리(옵션) - Worker가 실패 시 호출
*
* @param modelId
* @param errorMessage
*/
@Transactional
public void markError(Long modelId, String errorMessage) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.ERROR.getId());
master.setStep1State(TrainStatusType.ERROR.getId());
master.setLastError(errorMessage);
master.setUpdatedUid(userUtil.getId());
master.setUpdatedDttm(ZonedDateTime.now());
}
/**
* step 2오류 처리(옵션) - Worker가 실패 시 호출
*
* @param modelId
* @param errorMessage
*/
@Transactional
public void markStep2Error(Long modelId, String errorMessage) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.ERROR.getId());
master.setStep2State(TrainStatusType.ERROR.getId());
master.setLastError(errorMessage);
master.setUpdatedUid(userUtil.getId());
master.setUpdatedDttm(ZonedDateTime.now());
}
/**
* step1 정지 처리
*
* @param modelId
* @param errorMessage
*/
public void markStep1Stop(Long modelId, String errorMessage) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.STOPPED.getId());
master.setStep1State(TrainStatusType.STOPPED.getId());
master.setLastError(errorMessage);
master.setUpdatedUid(userUtil.getId());
master.setUpdatedDttm(ZonedDateTime.now());
}
/**
* step2 정지 처리
*
* @param modelId
* @param errorMessage
*/
public void markStep2Stop(Long modelId, String errorMessage) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
master.setStatusCd(TrainStatusType.STOPPED.getId());
master.setStep2State(TrainStatusType.STOPPED.getId());
master.setLastError(errorMessage);
master.setUpdatedUid(userUtil.getId());
master.setUpdatedDttm(ZonedDateTime.now());
}
@Transactional
public void markSuccess(Long modelId) {
ModelMasterEntity master =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
// 모델 상태 완료 처리
master.setStatusCd(TrainStatusType.COMPLETED.getId());
// (선택) 마지막 에러 메시지 비우기
master.setLastError(null);
}
/**
* 학습 실행에 필요한 파라미터 조회
*
* @param modelId
* @return
*/
public TrainRunRequest findTrainRunRequest(Long modelId) {
return modelMngRepository.findTrainRunRequest(modelId);
}
/**
* step1 진행중 처리
*
* @param modelId
* @param jobId
*/
@Transactional(propagation = Propagation.REQUIRES_NEW)
public void markStep1InProgress(Long modelId, Long jobId) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
entity.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
entity.setStrtDttm(ZonedDateTime.now());
entity.setStep1StrtDttm(ZonedDateTime.now());
entity.setStep1State(TrainStatusType.IN_PROGRESS.getId());
entity.setCurrentAttemptId(jobId);
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
/**
* step2 진행중 처리
*
* @param modelId
*/
@Transactional(propagation = Propagation.REQUIRES_NEW)
public void markStep2InProgress(Long modelId, Long jobId) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
entity.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
entity.setStep2StrtDttm(ZonedDateTime.now());
entity.setStep2State(TrainStatusType.IN_PROGRESS.getId());
entity.setCurrentAttemptId(jobId);
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
/**
* step1 완료처리
*
* @param modelId
*/
@Transactional(propagation = Propagation.REQUIRES_NEW)
public void markStep1Success(Long modelId) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
entity.setStatusCd(TrainStatusType.COMPLETED.getId());
entity.setStep1State(TrainStatusType.COMPLETED.getId());
entity.setStep1EndDttm(ZonedDateTime.now());
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
/**
* step2 완료처리
*
* @param modelId
*/
@Transactional(propagation = Propagation.REQUIRES_NEW)
public void markStep2Success(Long modelId) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
entity.setStatusCd(TrainStatusType.COMPLETED.getId());
entity.setStep2State(TrainStatusType.COMPLETED.getId());
entity.setStep2EndDttm(ZonedDateTime.now());
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
public void updateModelMasterBestEpoch(Long modelId, int epoch) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
entity.setBestEpoch(epoch);
}
/**
* 데이터셋 uid 조회
*
* @param datasetIds
* @return
*/
public List<String> findDatasetUid(List<Long> datasetIds) {
return datasetRepository.findDatasetUid(datasetIds);
}
public List<Long> findModelDatasetMapp(Long modelId) {
List<Long> datasetUids = new ArrayList<>();
List<ModelDatasetMappEntity> entities = modelDatasetMapRepository.findByModelUid(modelId);
for (ModelDatasetMappEntity entity : entities) {
datasetUids.add(entity.getDatasetUid());
}
return datasetUids;
}
public Long findModelStep1InProgressCnt() {
return modelMngRepository.findModelStep1InProgressCnt();
}
/**
* train 링크할 파일 경로
*
* @param modelId
* @return
*/
public List<ModelTrainLinkDto> findDatasetTrainPath(Long modelId) {
return modelDatasetMapRepository.findDatasetTrainPath(modelId);
}
/**
* validation 링크할 파일 경로
*
* @param modelId
* @return
*/
public List<ModelTrainLinkDto> findDatasetValPath(Long modelId) {
return modelDatasetMapRepository.findDatasetValPath(modelId);
}
/**
* test 링크할 파일 경로
*
* @param modelId
* @return
*/
public List<ModelTrainLinkDto> findDatasetTestPath(Long modelId) {
return modelDatasetMapRepository.findDatasetTestPath(modelId);
}
}

View File

@@ -2,6 +2,7 @@ package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.postgres.repository.upload.UploadSessionRepository;
import com.kamco.cd.training.upload.dto.UploadDto;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
@@ -39,8 +40,8 @@ public class UploadSessionCoreService {
uploadSessionRepository.insertUploadSession(addReq);
}
public UploadDto.uploadDto findByDatasetUid(Long datasetId, String uploadDivi) {
return uploadSessionRepository.findByDatasetUid(datasetId, uploadDivi);
public UploadDto.uploadDto findByDatasetUid(String uploadDivi, UUID uuid) {
return uploadSessionRepository.findByDatasetUid(uploadDivi, uuid);
}
public UploadDto.uploadDto findByUuid(String uuid) {

View File

@@ -5,6 +5,7 @@ import com.kamco.cd.training.log.dto.EventStatus;
import com.kamco.cd.training.log.dto.EventType;
import com.kamco.cd.training.postgres.CommonCreateEntity;
import jakarta.persistence.*;
import java.util.UUID;
import lombok.AccessLevel;
import lombok.Getter;
import lombok.NoArgsConstructor;
@@ -14,6 +15,7 @@ import lombok.NoArgsConstructor;
@NoArgsConstructor(access = AccessLevel.PROTECTED)
@Table(name = "tb_audit_log")
public class AuditLogEntity extends CommonCreateEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "audit_log_uid", nullable = false)
@@ -43,6 +45,12 @@ public class AuditLogEntity extends CommonCreateEntity {
@Column(name = "error_log_uid")
private Long errorLogUid;
@Column(name = "download_uuid")
private UUID downloadUuid;
@Column(name = "login_attempt_id")
private String loginAttemptId;
public AuditLogEntity(
Long userUid,
EventType eventType,
@@ -51,7 +59,9 @@ public class AuditLogEntity extends CommonCreateEntity {
String ipAddress,
String requestUri,
String requestBody,
Long errorLogUid) {
Long errorLogUid,
UUID downloadUuid,
String loginAttemptId) {
this.userUid = userUid;
this.eventType = eventType;
this.eventStatus = eventStatus;
@@ -60,6 +70,31 @@ public class AuditLogEntity extends CommonCreateEntity {
this.requestUri = requestUri;
this.requestBody = requestBody;
this.errorLogUid = errorLogUid;
this.downloadUuid = downloadUuid;
this.loginAttemptId = loginAttemptId;
}
/** 파일 다운로드 이력 생성 */
public static AuditLogEntity forFileDownload(
Long userId,
String requestUri,
String menuUid,
String ip,
int httpStatus,
UUID downloadUuid) {
return new AuditLogEntity(
userId,
EventType.DOWNLOAD, // 이벤트 타입 고정
httpStatus < 400 ? EventStatus.SUCCESS : EventStatus.FAILED, // 성공 여부
menuUid,
ip,
requestUri,
null, // requestBody 없음
null, // errorLogUid 없음
downloadUuid,
null // loginAttemptId 없음
);
}
public AuditLogDto.Basic toDto() {

View File

@@ -121,7 +121,7 @@ public class DatasetEntity {
@JdbcTypeCode(SqlTypes.JSON)
private Map<String, Integer> classCounts;
@Size(max = 255)
@Size(max = 32)
@Column(name = "uid")
private String uid;

View File

@@ -15,6 +15,9 @@ import java.util.UUID;
import lombok.Getter;
import lombok.Setter;
import org.hibernate.annotations.ColumnDefault;
import org.hibernate.annotations.JdbcTypeCode;
import org.hibernate.type.SqlTypes;
import org.locationtech.jts.geom.Geometry;
@Getter
@Setter
@@ -79,6 +82,20 @@ public class DatasetObjEntity {
@Column(name = "uuid")
private UUID uuid;
@Size(max = 32)
@Column(name = "uid")
private String uid;
@JdbcTypeCode(SqlTypes.JSON)
@Column(name = "geo_jsonb", columnDefinition = "jsonb")
private String geoJsonb;
@Column(name = "file_name")
private String fileName;
@Column(name = "geom", columnDefinition = "geometry")
private Geometry geom;
public Basic toDto() {
return new DatasetObjDto.Basic(
this.objId,
@@ -95,6 +112,7 @@ public class DatasetObjEntity {
this.createdDttm,
this.createdUid,
this.deleted,
this.uuid);
this.uuid,
this.geoJsonb);
}
}

View File

@@ -0,0 +1,117 @@
package com.kamco.cd.training.postgres.entity;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.Basic;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import jakarta.validation.constraints.NotNull;
import jakarta.validation.constraints.Size;
import java.time.ZonedDateTime;
import java.util.UUID;
import lombok.Getter;
import lombok.Setter;
import org.hibernate.annotations.ColumnDefault;
import org.hibernate.annotations.JdbcTypeCode;
import org.hibernate.type.SqlTypes;
import org.locationtech.jts.geom.Geometry;
@Getter
@Setter
@Entity
@Table(name = "tb_dataset_test_obj")
public class DatasetTestObjEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "obj_id", nullable = false)
private Long objId;
@NotNull
@Column(name = "dataset_uid", nullable = false)
private Long datasetUid;
@Column(name = "target_yyyy")
private Integer targetYyyy;
@Size(max = 255)
@Column(name = "target_class_cd")
private String targetClassCd;
@Column(name = "compare_yyyy")
private Integer compareYyyy;
@Size(max = 255)
@Column(name = "compare_class_cd")
private String compareClassCd;
@Size(max = 255)
@Column(name = "target_path")
private String targetPath;
@Size(max = 255)
@Column(name = "compare_path")
private String comparePath;
@Size(max = 255)
@Column(name = "label_path")
private String labelPath;
@Size(max = 255)
@Column(name = "geojson_path")
private String geojsonPath;
@Size(max = 255)
@Column(name = "map_sheet_num")
private String mapSheetNum;
@ColumnDefault("now()")
@Column(name = "created_dttm")
private ZonedDateTime createdDttm;
@Column(name = "created_uid")
private Long createdUid;
@ColumnDefault("false")
@Column(name = "deleted")
private Boolean deleted;
@Column(name = "uuid")
private UUID uuid;
@Size(max = 32)
@Column(name = "uid")
private String uid;
@JdbcTypeCode(SqlTypes.JSON)
@Column(name = "geo_jsonb", columnDefinition = "jsonb")
private String geoJsonb;
@Column(name = "file_name")
private String fileName;
@Column(name = "geom", columnDefinition = "geometry")
private Geometry geom;
public Basic toDto() {
return new Basic(
this.objId,
this.datasetUid,
this.targetYyyy,
this.targetClassCd,
this.compareYyyy,
this.compareClassCd,
this.targetPath,
this.comparePath,
this.labelPath,
this.geojsonPath,
this.mapSheetNum,
this.createdDttm,
this.createdUid,
this.deleted,
this.uuid,
this.geoJsonb);
}
}

View File

@@ -0,0 +1,117 @@
package com.kamco.cd.training.postgres.entity;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.Basic;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import jakarta.validation.constraints.NotNull;
import jakarta.validation.constraints.Size;
import java.time.ZonedDateTime;
import java.util.UUID;
import lombok.Getter;
import lombok.Setter;
import org.hibernate.annotations.ColumnDefault;
import org.hibernate.annotations.JdbcTypeCode;
import org.hibernate.type.SqlTypes;
import org.locationtech.jts.geom.Geometry;
@Getter
@Setter
@Entity
@Table(name = "tb_dataset_val_obj")
public class DatasetValObjEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "obj_id", nullable = false)
private Long objId;
@NotNull
@Column(name = "dataset_uid", nullable = false)
private Long datasetUid;
@Column(name = "target_yyyy")
private Integer targetYyyy;
@Size(max = 255)
@Column(name = "target_class_cd")
private String targetClassCd;
@Column(name = "compare_yyyy")
private Integer compareYyyy;
@Size(max = 255)
@Column(name = "compare_class_cd")
private String compareClassCd;
@Size(max = 255)
@Column(name = "target_path")
private String targetPath;
@Size(max = 255)
@Column(name = "compare_path")
private String comparePath;
@Size(max = 255)
@Column(name = "label_path")
private String labelPath;
@Size(max = 255)
@Column(name = "geojson_path")
private String geojsonPath;
@Size(max = 255)
@Column(name = "map_sheet_num")
private String mapSheetNum;
@ColumnDefault("now()")
@Column(name = "created_dttm")
private ZonedDateTime createdDttm;
@Column(name = "created_uid")
private Long createdUid;
@ColumnDefault("false")
@Column(name = "deleted")
private Boolean deleted;
@Column(name = "uuid")
private UUID uuid;
@Size(max = 32)
@Column(name = "uid")
private String uid;
@JdbcTypeCode(SqlTypes.JSON)
@Column(name = "geo_jsonb", columnDefinition = "jsonb")
private String geoJsonb;
@Column(name = "file_name")
private String fileName;
@Column(name = "geom", columnDefinition = "geometry")
private Geometry geom;
public Basic toDto() {
return new Basic(
this.objId,
this.datasetUid,
this.targetYyyy,
this.targetClassCd,
this.compareYyyy,
this.compareClassCd,
this.targetPath,
this.comparePath,
this.labelPath,
this.geojsonPath,
this.mapSheetNum,
this.createdDttm,
this.createdUid,
this.deleted,
this.uuid,
this.geoJsonb);
}
}

View File

@@ -24,7 +24,7 @@ public class ModelConfigEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "config_id", nullable = false)
private Integer id;
private Long id;
@NotNull
@ManyToOne(fetch = FetchType.LAZY, optional = false)

View File

@@ -3,6 +3,8 @@ package com.kamco.cd.training.postgres.entity;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.FetchType;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.JoinColumn;
import jakarta.persistence.ManyToOne;
@@ -20,6 +22,7 @@ import org.hibernate.annotations.ColumnDefault;
public class ModelDatasetEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "id", nullable = false)
private Long id;
@@ -28,10 +31,6 @@ public class ModelDatasetEntity {
@JoinColumn(name = "model_id", nullable = false)
private ModelMasterEntity model;
@NotNull
@Column(name = "data_id", nullable = false)
private Long dataId;
@Column(name = "building_cnt")
private Long buildingCnt;
@@ -46,7 +45,7 @@ public class ModelDatasetEntity {
@ColumnDefault("now()")
@Column(name = "created_dttm")
private ZonedDateTime createdDttm;
private ZonedDateTime createdDttm = ZonedDateTime.now();
@Column(name = "created_uid")
private Long createdUid;

View File

@@ -1,5 +1,6 @@
package com.kamco.cd.training.postgres.entity;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import jakarta.persistence.*;
import jakarta.validation.constraints.NotNull;
@@ -191,10 +192,10 @@ public class ModelHyperParamEntity {
@Column(name = "save_best_rule", nullable = false, length = 10)
private String saveBestRule = "greater";
/** Default: 10 */
/** Default: 1 */
@NotNull
@Column(name = "val_interval", nullable = false)
private Integer valInterval = 10;
private Integer valInterval = 1;
/** Default: 400 */
@NotNull
@@ -302,20 +303,24 @@ public class ModelHyperParamEntity {
@Column(name = "last_used_dttm")
private ZonedDateTime lastUsedDttm;
@Column(name = "m1_use_cnt")
private Long m1UseCnt = 0L;
@Column(name = "model_type")
@Enumerated(EnumType.STRING)
private ModelType modelType;
@Column(name = "m2_use_cnt")
private Long m2UseCnt = 0L;
@Column(name = "default_param")
private Boolean isDefault = false;
@Column(name = "m3_use_cnt")
private Long m3UseCnt = 0L;
@Column(name = "total_use_cnt")
private Integer totalUseCnt = 0;
public HyperParamDto.Basic toDto() {
return new HyperParamDto.Basic(
this.modelType,
this.uuid,
this.hyperVer,
this.createdDttm,
this.lastUsedDttm,
this.totalUseCnt,
// -------------------------
// Important
// -------------------------
@@ -385,6 +390,7 @@ public class ModelHyperParamEntity {
// -------------------------
this.gpuCnt,
this.gpuIds,
this.masterPort);
this.masterPort,
this.isDefault);
}
}

View File

@@ -1,13 +1,12 @@
package com.kamco.cd.training.postgres.entity;
import com.kamco.cd.training.model.dto.ModelTrainDto;
import com.kamco.cd.training.model.dto.ModelTrainMngDto;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import jakarta.validation.constraints.NotNull;
import jakarta.validation.constraints.Size;
import java.time.ZonedDateTime;
import java.util.UUID;
@@ -26,16 +25,15 @@ public class ModelMasterEntity {
@Column(name = "model_id", nullable = false)
private Long id;
@NotNull
@Column(name = "hyper_param_id", nullable = false)
@Column(name = "hyper_param_id")
private Long hyperParamId;
@Size(max = 10)
@Column(name = "model_no", length = 10)
private String modelNo;
@Size(max = 50)
@Column(name = "model_ver", length = 50)
@Size(max = 200)
@Column(name = "model_ver", length = 200)
private String modelVer;
@Column(name = "model_step")
@@ -69,7 +67,7 @@ public class ModelMasterEntity {
private String step2State;
@Column(name = "del_yn")
private Boolean delYn;
private Boolean delYn = false;
@ColumnDefault("now()")
@Column(name = "created_dttm")
@@ -90,8 +88,41 @@ public class ModelMasterEntity {
@Column(name = "train_type")
private String trainType;
public ModelTrainDto.Basic toDto() {
return new ModelTrainDto.Basic(
@Column(name = "before_model_id")
private Long beforeModelId;
@Column(name = "step1_metric_save_yn")
private Boolean step1MetricSaveYn;
@Column(name = "step2_metric_save_yn")
private Boolean step2MetricSaveYn;
@Column(name = "current_attempt_id")
private Long currentAttemptId;
@Column(name = "last_error")
private String lastError;
@Column(name = "best_epoch")
private Integer bestEpoch;
@Column(name = "request_path")
private String requestPath;
@Column(name = "response_path")
private String responsePath;
@Column(name = "packing_state")
private String packingState;
@Column(name = "packing_strt_dttm")
private ZonedDateTime packingStrtDttm;
@Column(name = "packing_end_dttm")
private ZonedDateTime packingEndDttm;
public ModelTrainMngDto.Basic toDto() {
return new ModelTrainMngDto.Basic(
this.id,
this.uuid,
this.modelVer,
@@ -103,6 +134,13 @@ public class ModelMasterEntity {
this.step1State,
this.step2State,
this.statusCd,
this.trainType);
this.trainType,
this.modelNo,
this.currentAttemptId,
this.requestPath,
this.packingState,
this.packingStrtDttm,
this.packingEndDttm,
this.beforeModelId);
}
}

View File

@@ -19,8 +19,8 @@ import org.hibernate.annotations.ColumnDefault;
@Getter
@Setter
@Entity
@Table(name = "tb_model_matrics_test")
public class ModelMatricsTestEntity {
@Table(name = "tb_model_metrics_test")
public class ModelMetricsTestEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@@ -45,9 +45,6 @@ public class ModelMatricsTestEntity {
@Column(name = "fn")
private Long fn;
@Column(name = "tn")
private Long tn;
@Column(name = "precisions")
private Float precisions;
@@ -63,8 +60,11 @@ public class ModelMatricsTestEntity {
@Column(name = "iou")
private Float iou;
@Column(name = "processed_images")
private Long processedImages;
@Column(name = "detection_count")
private Long detectionCount;
@Column(name = "gt_count")
private Long gtCount;
@ColumnDefault("now()")
@Column(name = "created_dttm")

View File

@@ -18,8 +18,8 @@ import org.hibernate.annotations.ColumnDefault;
@Getter
@Setter
@Entity
@Table(name = "tb_model_matrics_train")
public class ModelMatricsTrainEntity {
@Table(name = "tb_model_metrics_train")
public class ModelMetricsTrainEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)

View File

@@ -18,8 +18,8 @@ import org.hibernate.annotations.ColumnDefault;
@Getter
@Setter
@Entity
@Table(name = "tb_model_matrics_validation")
public class ModelMatricsValidationEntity {
@Table(name = "tb_model_metrics_validation")
public class ModelMetricsValidationEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)

View File

@@ -0,0 +1,42 @@
package com.kamco.cd.training.postgres.entity;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import jakarta.validation.constraints.NotNull;
import java.time.OffsetDateTime;
import lombok.Getter;
import lombok.Setter;
import org.hibernate.annotations.ColumnDefault;
@Getter
@Setter
@Entity
@Table(name = "tb_model_test_training_run")
public class ModelTestTrainingRunEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "tsr_id", nullable = false)
private Long id;
@NotNull
@Column(name = "model_id", nullable = false)
private Long modelId;
@Column(name = "attempt_no")
private Integer attemptNo;
@Column(name = "job_id")
private Long jobId;
@Column(name = "epoch")
private Integer epoch;
@ColumnDefault("now()")
@Column(name = "created_dttm")
private OffsetDateTime createdDttm;
}

View File

@@ -0,0 +1,105 @@
package com.kamco.cd.training.postgres.entity;
import com.kamco.cd.training.train.dto.ModelTrainJobDto;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import jakarta.validation.constraints.NotNull;
import jakarta.validation.constraints.Size;
import java.time.ZonedDateTime;
import java.util.Map;
import lombok.Getter;
import lombok.Setter;
import org.hibernate.annotations.ColumnDefault;
import org.hibernate.annotations.JdbcTypeCode;
import org.hibernate.type.SqlTypes;
@Getter
@Setter
@Entity
@Table(name = "tb_model_train_job")
public class ModelTrainJobEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "id", nullable = false)
private Long id;
@NotNull
@Column(name = "model_id", nullable = false)
private Long modelId;
@NotNull
@Column(name = "attempt_no", nullable = false)
private Integer attemptNo;
@Size(max = 30)
@NotNull
@Column(name = "status_cd", nullable = false, length = 30)
private String statusCd;
@NotNull
@Column(name = "params_json", nullable = false)
@JdbcTypeCode(SqlTypes.JSON)
private Map<String, Object> paramsJson;
@Size(max = 200)
@Column(name = "container_name", length = 200)
private String containerName;
@Size(max = 500)
@Column(name = "log_path", length = 500)
private String logPath;
@Column(name = "exit_code")
private Integer exitCode;
@Column(name = "error_message", columnDefinition = "TEXT")
private String errorMessage;
@ColumnDefault("now()")
@Column(name = "queued_dttm")
private ZonedDateTime queuedDttm;
@Column(name = "started_dttm")
private ZonedDateTime startedDttm;
@Column(name = "finished_dttm")
private ZonedDateTime finishedDttm;
@Column(name = "locked_dttm")
private ZonedDateTime lockedDttm;
@Size(max = 100)
@Column(name = "locked_by", length = 100)
private String lockedBy;
@Column(name = "total_epoch")
private Integer totalEpoch;
@Column(name = "current_epoch")
private Integer currentEpoch;
@Column(name = "job_type")
private String jobType;
public ModelTrainJobDto toDto() {
return new ModelTrainJobDto(
this.id,
this.modelId,
this.attemptNo,
this.statusCd,
this.exitCode,
this.errorMessage,
this.containerName,
this.paramsJson,
this.queuedDttm,
this.startedDttm,
this.finishedDttm,
this.totalEpoch,
this.currentEpoch);
}
}

View File

@@ -1,7 +1,10 @@
package com.kamco.cd.training.postgres.repository.dataset;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetObjRegDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.SearchReq;
import com.kamco.cd.training.postgres.entity.DatasetObjEntity;
import java.util.List;
import java.util.Optional;
import java.util.UUID;
import org.springframework.data.domain.Page;
@@ -11,4 +14,14 @@ public interface DatasetObjRepositoryCustom {
Optional<DatasetObjEntity> findByUuid(UUID id);
Page<DatasetObjEntity> searchDatasetObjectList(SearchReq searchReq);
List<DatasetClass> findDatasetObjClassByUuid(UUID uuid, String type);
void insertDatasetObj(DatasetObjRegDto objRegDto);
String getFilePathByUUIDPathType(UUID uuid, String pathType);
void insertDatasetTestObj(DatasetObjRegDto objRegDto);
void insertDatasetValObj(DatasetObjRegDto objRegDto);
}

View File

@@ -3,24 +3,37 @@ package com.kamco.cd.training.postgres.repository.dataset;
import static com.kamco.cd.training.postgres.entity.QDatasetEntity.datasetEntity;
import static com.kamco.cd.training.postgres.entity.QDatasetObjEntity.datasetObjEntity;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetObjRegDto;
import com.kamco.cd.training.dataset.dto.DatasetObjDto.SearchReq;
import com.kamco.cd.training.postgres.entity.DatasetEntity;
import com.kamco.cd.training.postgres.entity.DatasetObjEntity;
import com.kamco.cd.training.postgres.entity.QDatasetEntity;
import com.querydsl.core.BooleanBuilder;
import com.querydsl.core.types.Expression;
import com.querydsl.core.types.Projections;
import com.querydsl.core.types.dsl.Expressions;
import com.querydsl.core.types.dsl.StringPath;
import com.querydsl.jpa.impl.JPAQueryFactory;
import jakarta.persistence.EntityManager;
import jakarta.persistence.EntityNotFoundException;
import jakarta.persistence.PersistenceContext;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.locationtech.jts.geom.Geometry;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageImpl;
import org.springframework.data.domain.Pageable;
import org.springframework.stereotype.Repository;
@Slf4j
@Repository
@RequiredArgsConstructor
public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
@@ -28,6 +41,8 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
private final JPAQueryFactory queryFactory;
private final QDatasetEntity dataset = datasetEntity;
@PersistenceContext EntityManager em;
@Override
public Optional<DatasetObjEntity> findByUuid(UUID id) {
return Optional.ofNullable(
@@ -38,17 +53,98 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
.fetchOne());
}
@Override
public void insertDatasetTestObj(DatasetObjRegDto objRegDto) {
ObjectMapper objectMapper = new ObjectMapper();
String json;
Geometry geometry;
String geometryJson;
try {
json = objectMapper.writeValueAsString(objRegDto.getGeojson());
geometryJson =
objectMapper.writeValueAsString(
objRegDto.getGeojson().path("features").get(0).path("geometry"));
} catch (JsonProcessingException e) {
throw new RuntimeException(e);
}
try {
em.createNativeQuery(
"""
insert into tb_dataset_test_obj
(dataset_uid, target_yyyy, target_class_cd,
compare_yyyy, compare_class_cd,
target_path, compare_path, label_path, geo_jsonb, map_sheet_num, file_name, geom, geojson_path)
values
(?, ?, ?, ?, ?, ?, ?, ?, cast(? as jsonb), ?, ?, ST_SetSRID(ST_GeomFromGeoJSON(?), 5186), ?)
""")
.setParameter(1, objRegDto.getDatasetUid())
.setParameter(2, objRegDto.getTargetYyyy())
.setParameter(3, objRegDto.getTargetClassCd())
.setParameter(4, objRegDto.getCompareYyyy())
.setParameter(5, objRegDto.getCompareClassCd())
.setParameter(6, objRegDto.getTargetPath())
.setParameter(7, objRegDto.getComparePath())
.setParameter(8, objRegDto.getLabelPath())
.setParameter(9, json)
.setParameter(10, objRegDto.getMapSheetNum())
.setParameter(11, objRegDto.getFileName())
.setParameter(12, geometryJson)
.setParameter(13, objRegDto.getGeojsonPath())
.executeUpdate();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
@Override
public void insertDatasetValObj(DatasetObjRegDto objRegDto) {
ObjectMapper objectMapper = new ObjectMapper();
String json;
String geometryJson;
try {
json = objectMapper.writeValueAsString(objRegDto.getGeojson());
geometryJson =
objectMapper.writeValueAsString(
objRegDto.getGeojson().path("features").get(0).path("geometry"));
} catch (JsonProcessingException e) {
throw new RuntimeException(e);
}
try {
em.createNativeQuery(
"""
insert into tb_dataset_val_obj
(dataset_uid, target_yyyy, target_class_cd,
compare_yyyy, compare_class_cd,
target_path, compare_path, label_path, geo_jsonb, map_sheet_num, file_name, geom, geojson_path)
values
(?, ?, ?, ?, ?, ?, ?, ?, cast(? as jsonb), ?, ?, ST_SetSRID(ST_GeomFromGeoJSON(?), 5186), ?)
""")
.setParameter(1, objRegDto.getDatasetUid())
.setParameter(2, objRegDto.getTargetYyyy())
.setParameter(3, objRegDto.getTargetClassCd())
.setParameter(4, objRegDto.getCompareYyyy())
.setParameter(5, objRegDto.getCompareClassCd())
.setParameter(6, objRegDto.getTargetPath())
.setParameter(7, objRegDto.getComparePath())
.setParameter(8, objRegDto.getLabelPath())
.setParameter(9, json)
.setParameter(10, objRegDto.getMapSheetNum())
.setParameter(11, objRegDto.getFileName())
.setParameter(12, geometryJson)
.setParameter(13, objRegDto.getGeojsonPath())
.executeUpdate();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
@Override
public Page<DatasetObjEntity> searchDatasetObjectList(SearchReq searchReq) {
Pageable pageable = searchReq.toPageable();
BooleanBuilder builder = new BooleanBuilder();
if (searchReq.getCompareYyyy() != null) {
builder.and(datasetObjEntity.compareYyyy.eq(searchReq.getCompareYyyy()));
}
if (searchReq.getTargetYyyy() != null) {
builder.and(datasetObjEntity.targetYyyy.eq(searchReq.getTargetYyyy()));
}
if (StringUtils.isNotBlank(searchReq.getCompareClassCd())) {
builder.and(datasetObjEntity.compareClassCd.eq(searchReq.getCompareClassCd()));
}
@@ -88,10 +184,96 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
queryFactory
.select(datasetObjEntity.count())
.from(datasetObjEntity)
.where(datasetObjEntity.deleted.isFalse().and(builder))
.where(
datasetObjEntity
.deleted
.isFalse()
.and(datasetObjEntity.datasetUid.eq(entity.getId()))
.and(builder))
.fetchOne())
.orElse(0L);
return new PageImpl<>(content, pageable, total);
}
@Override
public List<DatasetClass> findDatasetObjClassByUuid(UUID uuid, String type) {
StringPath classCd =
type.equals("compare") ? datasetObjEntity.compareClassCd : datasetObjEntity.targetClassCd;
BooleanBuilder builder = new BooleanBuilder();
builder.and(datasetEntity.uuid.eq(uuid));
builder.and(datasetEntity.deleted.isFalse());
builder.and(datasetObjEntity.deleted.isFalse());
return queryFactory
.select(Projections.constructor(DatasetClass.class, classCd))
.from(datasetEntity)
.join(datasetObjEntity)
.on(datasetEntity.id.eq(datasetObjEntity.datasetUid))
.where(builder)
.groupBy(classCd)
.fetch();
}
@Override
public void insertDatasetObj(DatasetObjRegDto objRegDto) {
ObjectMapper objectMapper = new ObjectMapper();
String json;
String geometryJson;
try {
json = objectMapper.writeValueAsString(objRegDto.getGeojson());
geometryJson =
objectMapper.writeValueAsString(
objRegDto.getGeojson().path("features").get(0).path("geometry"));
} catch (JsonProcessingException e) {
throw new RuntimeException(e);
}
try {
em.createNativeQuery(
"""
insert into tb_dataset_obj
(dataset_uid, target_yyyy, target_class_cd,
compare_yyyy, compare_class_cd,
target_path, compare_path, label_path, geo_jsonb, map_sheet_num, file_name, geom, geojson_path)
values
(?, ?, ?, ?, ?, ?, ?, ?, cast(? as jsonb), ?, ?, ST_SetSRID(ST_GeomFromGeoJSON(?), 5186), ?)
""")
.setParameter(1, objRegDto.getDatasetUid())
.setParameter(2, objRegDto.getTargetYyyy())
.setParameter(3, objRegDto.getTargetClassCd())
.setParameter(4, objRegDto.getCompareYyyy())
.setParameter(5, objRegDto.getCompareClassCd())
.setParameter(6, objRegDto.getTargetPath())
.setParameter(7, objRegDto.getComparePath())
.setParameter(8, objRegDto.getLabelPath())
.setParameter(9, json)
.setParameter(10, objRegDto.getMapSheetNum())
.setParameter(11, objRegDto.getFileName())
.setParameter(12, geometryJson)
.setParameter(13, objRegDto.getGeojsonPath())
.executeUpdate();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
@Override
public String getFilePathByUUIDPathType(UUID uuid, String pathType) {
Expression<String> pathExpr =
switch (pathType) {
case "compare" -> datasetObjEntity.comparePath;
case "target" -> datasetObjEntity.targetPath;
case "label" -> datasetObjEntity.labelPath;
default -> Expressions.constant("");
};
return queryFactory
.select(pathExpr)
.from(datasetObjEntity)
.where(datasetObjEntity.uuid.eq(uuid))
.fetchOne();
}
}

View File

@@ -1,7 +1,10 @@
package com.kamco.cd.training.postgres.repository.dataset;
import com.kamco.cd.training.dataset.dto.DatasetDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
import com.kamco.cd.training.postgres.entity.DatasetEntity;
import java.util.List;
import java.util.Optional;
@@ -13,7 +16,19 @@ public interface DatasetRepositoryCustom {
Optional<DatasetEntity> findByUuid(UUID id);
List<SelectDataSet> getDatasetSelectM1List(String modelType, String selectType);
List<SelectDataSet> getDatasetSelectG1List(DatasetReq req);
List<SelectDataSet> getDatasetSelectM2M3List(String modelType, String selectType);
public List<SelectTransferDataSet> getDatasetTransferSelectG1List(Long modelId);
public List<SelectTransferDataSet> getDatasetTransferSelectG2G3List(Long modelId, String modelNo);
List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req);
Long getDatasetMaxStage(int compareYyyy, int targetYyyy);
Long insertDatasetMngData(DatasetMngRegDto mngRegDto);
List<String> findDatasetUid(List<Long> datasetIds);
Long findDatasetByUidExistsCnt(String uid);
}

View File

@@ -1,14 +1,24 @@
package com.kamco.cd.training.postgres.repository.dataset;
import static com.kamco.cd.training.postgres.entity.QDatasetObjEntity.datasetObjEntity;
import static com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity.modelDatasetMappEntity;
import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
import com.kamco.cd.training.dataset.dto.DatasetDto;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SearchReq;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
import com.kamco.cd.training.postgres.entity.DatasetEntity;
import com.kamco.cd.training.postgres.entity.QDatasetEntity;
import com.kamco.cd.training.postgres.entity.QDatasetObjEntity;
import com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity;
import com.kamco.cd.training.postgres.entity.QModelMasterEntity;
import com.querydsl.core.BooleanBuilder;
import com.querydsl.core.types.Projections;
import com.querydsl.core.types.dsl.CaseBuilder;
import com.querydsl.core.types.dsl.Expressions;
import com.querydsl.core.types.dsl.NumberExpression;
import com.querydsl.jpa.impl.JPAQueryFactory;
import java.util.List;
@@ -35,7 +45,7 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
* @return 페이징 처리된 데이터셋 Entity 목록
*/
@Override
public Page<DatasetEntity> findDatasetList(DatasetDto.SearchReq searchReq) {
public Page<DatasetEntity> findDatasetList(SearchReq searchReq) {
Pageable pageable = searchReq.toPageable();
BooleanBuilder builder = new BooleanBuilder();
@@ -63,7 +73,11 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
// Count 쿼리 별도 실행 (null safe handling)
long total =
Optional.ofNullable(
queryFactory.select(dataset.count()).from(dataset).where(builder).fetchOne())
queryFactory
.select(dataset.count())
.from(dataset)
.where(builder.and(dataset.deleted.isFalse()))
.fetchOne())
.orElse(0L);
return new PageImpl<>(content, pageable, total);
@@ -80,18 +94,29 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
}
@Override
public List<SelectDataSet> getDatasetSelectM1List(String modelType, String selectType) {
public List<SelectDataSet> getDatasetSelectG1List(DatasetReq req) {
BooleanBuilder builder = new BooleanBuilder();
if (StringUtils.isNotBlank(selectType) && !"CURRENT".equals(selectType)) {
builder.and(dataset.dataType.eq(selectType));
builder.and(dataset.deleted.isFalse());
if (StringUtils.isNotBlank(req.getDataType()) && !"CURRENT".equals(req.getDataType())) {
builder.and(dataset.dataType.eq(req.getDataType()));
}
if (StringUtils.isNotBlank(req.getDataType()) && !"CURRENT".equals(req.getDataType())) {
builder.and(dataset.dataType.eq(req.getDataType()));
}
if (req.getIds() != null) {
builder.and(dataset.id.in(req.getIds()));
}
return queryFactory
.select(
Projections.constructor(
SelectDataSet.class,
Expressions.constant(req.getModelNo()),
dataset.id,
dataset.uuid,
dataset.dataType,
@@ -126,11 +151,109 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
}
@Override
public List<SelectDataSet> getDatasetSelectM2M3List(String modelType, String selectType) {
public List<SelectTransferDataSet> getDatasetTransferSelectG1List(Long modelId) {
QModelMasterEntity beforeMaster = new QModelMasterEntity("beforeMaster");
QModelDatasetMappEntity beforeMapp = new QModelDatasetMappEntity("beforeMapp");
QDatasetEntity beforeDataset = new QDatasetEntity("beforeDataset");
QDatasetObjEntity beforeObj = new QDatasetObjEntity("beforeObj");
return queryFactory
.select(
Projections.constructor(
SelectTransferDataSet.class,
// ===== 현재 =====
modelMasterEntity.modelNo,
dataset.id,
dataset.uuid,
dataset.dataType,
dataset.title,
dataset.roundNo,
dataset.compareYyyy,
dataset.targetYyyy,
dataset.memo,
new CaseBuilder()
.when(datasetObjEntity.targetClassCd.eq("building"))
.then(1)
.otherwise(0)
.sum(),
new CaseBuilder()
.when(datasetObjEntity.targetClassCd.eq("container"))
.then(1)
.otherwise(0)
.sum(),
// ===== before (join으로) =====
beforeMaster.modelNo,
beforeDataset.id,
beforeDataset.uuid,
beforeDataset.dataType,
beforeDataset.title,
beforeDataset.roundNo,
beforeDataset.compareYyyy,
beforeDataset.targetYyyy,
beforeDataset.memo,
new CaseBuilder()
.when(beforeObj.targetClassCd.eq("building"))
.then(1)
.otherwise(0)
.sum(),
new CaseBuilder()
.when(beforeObj.targetClassCd.eq("container"))
.then(1)
.otherwise(0)
.sum()))
.from(modelMasterEntity)
// ===== 현재 dataset join =====
.leftJoin(modelDatasetMappEntity)
.on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
.leftJoin(dataset)
.on(modelDatasetMappEntity.datasetUid.eq(dataset.id))
.leftJoin(datasetObjEntity)
.on(dataset.id.eq(datasetObjEntity.datasetUid))
// ===== before 모델 join =====
.leftJoin(beforeMaster)
.on(beforeMaster.id.eq(modelMasterEntity.beforeModelId))
.leftJoin(beforeMapp)
.on(beforeMapp.modelUid.eq(beforeMaster.id))
.leftJoin(beforeDataset)
.on(beforeMapp.datasetUid.eq(beforeDataset.id))
.leftJoin(beforeObj)
.on(beforeDataset.id.eq(beforeObj.datasetUid))
.where(modelMasterEntity.id.eq(modelId))
.groupBy(
modelMasterEntity.modelNo,
dataset.id,
dataset.uuid,
dataset.dataType,
dataset.title,
dataset.roundNo,
dataset.compareYyyy,
dataset.targetYyyy,
dataset.memo,
beforeMaster.modelNo,
beforeDataset.id,
beforeDataset.uuid,
beforeDataset.dataType,
beforeDataset.title,
beforeDataset.roundNo,
beforeDataset.compareYyyy,
beforeDataset.targetYyyy,
beforeDataset.memo)
.orderBy(dataset.createdDttm.desc())
.fetch();
}
@Override
public List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req) {
BooleanBuilder builder = new BooleanBuilder();
builder.and(dataset.deleted.isFalse());
NumberExpression<Long> selectedCnt;
NumberExpression<Long> selectedCnt = null;
NumberExpression<Long> wasteCnt =
datasetObjEntity.targetClassCd.when("waste").then(1L).otherwise(0L).sum();
@@ -141,20 +264,29 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
.otherwise(0L)
.sum();
if (modelType.equals("M2")) {
selectedCnt = wasteCnt;
} else {
selectedCnt = elseCnt;
if (StringUtils.isNotBlank(req.getModelNo())) {
if (req.getModelNo().equals(ModelType.G2.getId())) {
selectedCnt = wasteCnt;
} else {
selectedCnt = elseCnt;
}
}
if (StringUtils.isNotBlank(selectType) && !"CURRENT".equals(selectType)) {
builder.and(dataset.dataType.eq(selectType));
if (StringUtils.isNotBlank(req.getDataType())) {
if (!"CURRENT".equals(req.getDataType())) {
builder.and(dataset.dataType.eq(req.getDataType()));
}
}
if (req.getIds() != null) {
builder.and(dataset.id.in(req.getIds()));
}
return queryFactory
.select(
Projections.constructor(
SelectDataSet.class,
Expressions.constant(req.getModelNo()),
dataset.id,
dataset.uuid,
dataset.dataType,
@@ -178,4 +310,170 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
.orderBy(dataset.createdDttm.desc())
.fetch();
}
@Override
public List<SelectTransferDataSet> getDatasetTransferSelectG2G3List(
Long modelId, String modelNo) {
// before join용
QModelMasterEntity beforeMaster = new QModelMasterEntity("beforeMaster");
QModelDatasetMappEntity beforeMapp = new QModelDatasetMappEntity("beforeMapp");
QDatasetEntity beforeDataset = new QDatasetEntity("beforeDataset");
QDatasetObjEntity beforeObj = new QDatasetObjEntity("beforeObj");
BooleanBuilder builder = new BooleanBuilder();
NumberExpression<Long> wasteCnt =
datasetObjEntity.targetClassCd.when("waste").then(1L).otherwise(0L).sum();
NumberExpression<Long> elseCnt =
new CaseBuilder()
.when(datasetObjEntity.targetClassCd.notIn("building", "container", "waste"))
.then(1L)
.otherwise(0L)
.sum();
NumberExpression<Long> selectedCnt = ModelType.G2.getId().equals(modelNo) ? wasteCnt : elseCnt;
// before도 동일 로직으로 cnt 계산
NumberExpression<Long> beforeWasteCnt =
beforeObj.targetClassCd.when("waste").then(1L).otherwise(0L).sum();
NumberExpression<Long> beforeElseCnt =
new CaseBuilder()
.when(beforeObj.targetClassCd.notIn("building", "container", "waste"))
.then(1L)
.otherwise(0L)
.sum();
NumberExpression<Long> beforeSelectedCnt =
ModelType.G2.getId().equals(modelNo) ? beforeWasteCnt : beforeElseCnt;
return queryFactory
.select(
Projections.constructor(
SelectTransferDataSet.class,
// ===== 현재 =====
modelMasterEntity.modelNo, // modelNo 파라미터 사용 (req.getModelNo() 제거)
dataset.id,
dataset.uuid,
dataset.dataType,
dataset.title,
dataset.roundNo,
dataset.compareYyyy,
dataset.targetYyyy,
dataset.memo,
selectedCnt, // classCount 자리에 들어가는 cnt (Long)
// ===== before =====
beforeMaster.modelNo,
beforeDataset.id,
beforeDataset.uuid,
beforeDataset.dataType,
beforeDataset.title,
beforeDataset.roundNo,
beforeDataset.compareYyyy,
beforeDataset.targetYyyy,
beforeDataset.memo,
beforeSelectedCnt))
.from(modelMasterEntity)
// ===== 현재 dataset =====
.leftJoin(modelDatasetMappEntity)
.on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
.leftJoin(dataset)
.on(modelDatasetMappEntity.datasetUid.eq(dataset.id))
.leftJoin(datasetObjEntity)
.on(dataset.id.eq(datasetObjEntity.datasetUid))
// ===== before dataset =====
.leftJoin(beforeMaster)
.on(beforeMaster.id.eq(modelMasterEntity.beforeModelId))
.leftJoin(beforeMapp)
.on(beforeMapp.modelUid.eq(beforeMaster.id))
.leftJoin(beforeDataset)
.on(beforeMapp.datasetUid.eq(beforeDataset.id))
.leftJoin(beforeObj)
.on(beforeDataset.id.eq(beforeObj.datasetUid))
.where(modelMasterEntity.id.eq(modelId).and(builder))
// sum() 때문에 groupBy 필요
.groupBy(
dataset.id,
dataset.uuid,
dataset.dataType,
dataset.title,
dataset.roundNo,
dataset.compareYyyy,
dataset.targetYyyy,
dataset.memo,
beforeMaster.modelNo,
beforeDataset.id,
beforeDataset.uuid,
beforeDataset.dataType,
beforeDataset.title,
beforeDataset.roundNo,
beforeDataset.compareYyyy,
beforeDataset.targetYyyy,
beforeDataset.memo)
.orderBy(dataset.createdDttm.desc())
.fetch();
}
@Override
public Long getDatasetMaxStage(int compareYyyy, int targetYyyy) {
return queryFactory
.select(dataset.roundNo.max().coalesce(0L))
.from(dataset)
.where(dataset.compareYyyy.eq(compareYyyy), dataset.targetYyyy.eq(targetYyyy))
.fetchOne();
}
@Override
public Long insertDatasetMngData(DatasetMngRegDto mngRegDto) {
queryFactory
.insert(dataset)
.columns(
dataset.uid,
dataset.dataType,
dataset.compareYyyy,
dataset.targetYyyy,
dataset.roundNo,
dataset.totalSize,
dataset.title,
dataset.memo,
dataset.datasetPath)
.values(
mngRegDto.getUid(),
mngRegDto.getDataType(),
mngRegDto.getCompareYyyy(),
mngRegDto.getTargetYyyy(),
mngRegDto.getRoundNo(),
mngRegDto.getTotalSize(),
mngRegDto.getTitle(),
mngRegDto.getMemo(),
mngRegDto.getDatasetPath())
.execute();
return queryFactory
.select(dataset.id)
.from(dataset)
.where(dataset.uid.eq(mngRegDto.getUid()), dataset.deleted.isFalse())
.fetchOne();
}
@Override
public List<String> findDatasetUid(List<Long> datasetIds) {
return queryFactory.select(dataset.uid).from(dataset).where(dataset.id.in(datasetIds)).fetch();
}
@Override
public Long findDatasetByUidExistsCnt(String uid) {
return queryFactory
.select(dataset.id.count())
.from(dataset)
.where(dataset.uid.eq(uid), dataset.deleted.isFalse())
.fetchOne();
}
}

View File

@@ -1,9 +1,12 @@
package com.kamco.cd.training.postgres.repository.hyperparam;
import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
import java.util.Optional;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.stereotype.Repository;
@Repository
public interface HyperParamRepository
extends JpaRepository<ModelHyperParamEntity, Long>, HyperParamRepositoryCustom {}
extends JpaRepository<ModelHyperParamEntity, Long>, HyperParamRepositoryCustom {
Optional<ModelHyperParamEntity> findByHyperVer(String hyperVer);
}

View File

@@ -1,7 +1,10 @@
package com.kamco.cd.training.postgres.repository.hyperparam;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
import java.util.List;
import java.util.Optional;
import java.util.UUID;
import org.springframework.data.domain.Page;
@@ -13,9 +16,41 @@ public interface HyperParamRepositoryCustom {
*
* @return
*/
@Deprecated
Optional<ModelHyperParamEntity> findHyperParamVer();
/**
* 모델 타입별 마지막 버전 조회
*
* @param modelType 모델 타입
* @return
*/
Optional<ModelHyperParamEntity> findHyperParamVerByModelType(ModelType modelType);
Optional<ModelHyperParamEntity> findHyperParamByHyperVer(String hyperVer);
/**
* 하이퍼 파라미터 상세조회
*
* @param uuid
* @return
*/
Optional<ModelHyperParamEntity> findHyperParamByUuid(UUID uuid);
Page<HyperParamDto.List> findByHyperVerList(HyperParamDto.SearchReq req);
/**
* 하이퍼 파라미터 목록 조회
*
* @param model
* @param req
* @return
*/
Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req);
/**
* 하이퍼 파라미터 모델타입으로 조회
*
* @param modelType
* @return
*/
List<ModelHyperParamEntity> getHyperParamByType(ModelType modelType);
}

View File

@@ -2,12 +2,13 @@ package com.kamco.cd.training.postgres.repository.hyperparam;
import static com.kamco.cd.training.postgres.entity.QModelHyperParamEntity.modelHyperParamEntity;
import com.kamco.cd.training.common.enums.ModelType;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.HyperType;
import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
import com.querydsl.core.BooleanBuilder;
import com.querydsl.core.types.Projections;
import com.querydsl.core.types.dsl.NumberExpression;
import com.querydsl.jpa.impl.JPAQuery;
import com.querydsl.jpa.impl.JPAQueryFactory;
import java.time.ZoneId;
@@ -41,23 +42,61 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
.fetchOne());
}
@Override
public Optional<ModelHyperParamEntity> findHyperParamVerByModelType(ModelType modelType) {
return Optional.ofNullable(
queryFactory
.select(modelHyperParamEntity)
.from(modelHyperParamEntity)
.where(
modelHyperParamEntity
.delYn
.isFalse()
.and(modelHyperParamEntity.modelType.eq(modelType)))
.orderBy(modelHyperParamEntity.hyperVer.desc())
.limit(1)
.fetchOne());
}
@Override
public Optional<ModelHyperParamEntity> findHyperParamByHyperVer(String hyperVer) {
return Optional.ofNullable(
queryFactory
.select(modelHyperParamEntity)
.from(modelHyperParamEntity)
.where(
modelHyperParamEntity
.delYn
.isFalse()
.and(modelHyperParamEntity.hyperVer.eq(hyperVer)))
.limit(1)
.fetchOne());
}
@Override
public Optional<ModelHyperParamEntity> findHyperParamByUuid(UUID uuid) {
return Optional.ofNullable(
queryFactory
.select(modelHyperParamEntity)
.from(modelHyperParamEntity)
.where(modelHyperParamEntity.delYn.isFalse().and(modelHyperParamEntity.uuid.eq(uuid)))
.where(modelHyperParamEntity.uuid.eq(uuid))
.fetchOne());
}
@Override
public Page<HyperParamDto.List> findByHyperVerList(HyperParamDto.SearchReq req) {
public Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req) {
Pageable pageable = req.toPageable();
BooleanBuilder builder = new BooleanBuilder();
builder.and(modelHyperParamEntity.delYn.isFalse());
if (model != null) {
builder.and(modelHyperParamEntity.modelType.eq(model));
}
if (req.getHyperVer() != null && !req.getHyperVer().isEmpty()) {
// 버전
builder.and(modelHyperParamEntity.hyperVer.contains(req.getHyperVer()));
@@ -80,26 +119,18 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
}
}
NumberExpression<Long> totalUseCnt =
modelHyperParamEntity
.m1UseCnt
.coalesce(0L)
.add(modelHyperParamEntity.m2UseCnt.coalesce(0L))
.add(modelHyperParamEntity.m3UseCnt.coalesce(0L));
JPAQuery<HyperParamDto.List> query =
queryFactory
.select(
Projections.constructor(
HyperParamDto.List.class,
modelHyperParamEntity.uuid,
modelHyperParamEntity.modelType.as("model"),
modelHyperParamEntity.hyperVer,
modelHyperParamEntity.createdDttm,
modelHyperParamEntity.lastUsedDttm,
modelHyperParamEntity.m1UseCnt,
modelHyperParamEntity.m2UseCnt,
modelHyperParamEntity.m3UseCnt,
totalUseCnt.as("totalUseCnt")))
modelHyperParamEntity.memo,
modelHyperParamEntity.totalUseCnt))
.from(modelHyperParamEntity)
.where(builder);
@@ -124,8 +155,11 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
asc
? modelHyperParamEntity.lastUsedDttm.asc()
: modelHyperParamEntity.lastUsedDttm.desc());
case "totalUseCnt" -> query.orderBy(asc ? totalUseCnt.asc() : totalUseCnt.desc());
case "totalUseCnt" ->
query.orderBy(
asc
? modelHyperParamEntity.totalUseCnt.asc()
: modelHyperParamEntity.totalUseCnt.desc());
default -> query.orderBy(modelHyperParamEntity.createdDttm.desc());
}
@@ -145,4 +179,17 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
return new PageImpl<>(content, pageable, totalCount);
}
@Override
public List<ModelHyperParamEntity> getHyperParamByType(ModelType modelType) {
return queryFactory
.select(modelHyperParamEntity)
.from(modelHyperParamEntity)
.where(
modelHyperParamEntity
.delYn
.isFalse()
.and(modelHyperParamEntity.modelType.eq(modelType)))
.fetch();
}
}

View File

@@ -1,6 +1,7 @@
package com.kamco.cd.training.postgres.repository.log;
import com.kamco.cd.training.log.dto.AuditLogDto;
import com.kamco.cd.training.log.dto.AuditLogDto.DownloadReq;
import java.time.LocalDate;
import org.springframework.data.domain.Page;
@@ -15,6 +16,9 @@ public interface AuditLogRepositoryCustom {
Page<AuditLogDto.UserAuditList> findLogByAccount(
AuditLogDto.searchReq searchReq, String searchValue);
Page<AuditLogDto.DownloadRes> findDownloadLog(
AuditLogDto.searchReq searchReq, DownloadReq downloadReq);
Page<AuditLogDto.DailyDetail> findLogByDailyResult(
AuditLogDto.searchReq searchReq, LocalDate logDate);

View File

@@ -6,32 +6,42 @@ import static com.kamco.cd.training.postgres.entity.QMemberEntity.memberEntity;
import static com.kamco.cd.training.postgres.entity.QMenuEntity.menuEntity;
import com.kamco.cd.training.log.dto.AuditLogDto;
import com.kamco.cd.training.log.dto.AuditLogDto.DownloadReq;
import com.kamco.cd.training.log.dto.AuditLogDto.searchReq;
import com.kamco.cd.training.log.dto.ErrorLogDto;
import com.kamco.cd.training.log.dto.EventStatus;
import com.kamco.cd.training.log.dto.EventType;
import com.kamco.cd.training.postgres.entity.AuditLogEntity;
import com.kamco.cd.training.postgres.entity.QMenuEntity;
import com.querydsl.core.BooleanBuilder;
import com.querydsl.core.types.Projections;
import com.querydsl.core.types.dsl.*;
import com.querydsl.jpa.impl.JPAQueryFactory;
import io.micrometer.common.util.StringUtils;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.Objects;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageImpl;
import org.springframework.data.domain.Pageable;
import org.springframework.data.jpa.repository.support.QuerydslRepositorySupport;
import org.springframework.stereotype.Repository;
@Repository
@RequiredArgsConstructor
public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
public class AuditLogRepositoryImpl extends QuerydslRepositorySupport
implements AuditLogRepositoryCustom {
private static final ZoneId ZONE = ZoneId.of("Asia/Seoul");
private final JPAQueryFactory queryFactory;
private final StringExpression NULL_STRING = Expressions.stringTemplate("cast(null as text)");
public AuditLogRepositoryImpl(JPAQueryFactory queryFactory) {
super(AuditLogEntity.class);
this.queryFactory = queryFactory;
}
@Override
public Page<AuditLogDto.DailyAuditList> findLogByDaily(
AuditLogDto.searchReq searchReq, LocalDate startDate, LocalDate endDate) {
@@ -87,7 +97,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
.from(auditLogEntity)
.leftJoin(menuEntity)
.on(auditLogEntity.menuUid.eq(menuEntity.menuUid))
.where(menuNameEquals(searchValue))
.where(auditLogEntity.menuUid.ne("SYSTEM"), menuNameEquals(searchValue))
.groupBy(auditLogEntity.menuUid)
.offset(pageable.getOffset())
.limit(pageable.getPageSize())
@@ -128,7 +138,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
.from(auditLogEntity)
.leftJoin(memberEntity)
.on(auditLogEntity.userUid.eq(memberEntity.id))
.where(loginIdOrUsernameContains(searchValue))
.where(auditLogEntity.userUid.isNotNull(), loginIdOrUsernameContains(searchValue))
.groupBy(auditLogEntity.userUid, memberEntity.employeeNo, memberEntity.name)
.offset(pageable.getOffset())
.limit(pageable.getPageSize())
@@ -147,6 +157,62 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
return new PageImpl<>(foundContent, pageable, countQuery);
}
@Override
public Page<AuditLogDto.DownloadRes> findDownloadLog(
AuditLogDto.searchReq searchReq, DownloadReq req) {
Pageable pageable = searchReq.toPageable();
BooleanBuilder whereBuilder = new BooleanBuilder();
whereBuilder.and(auditLogEntity.eventStatus.ne(EventStatus.valueOf("FAILED")));
whereBuilder.and(auditLogEntity.eventType.eq(EventType.valueOf("DOWNLOAD")));
// if (req.getMenuId() != null && !req.getMenuId().isEmpty()) {
// whereBuilder.and(auditLogEntity.menuUid.eq(req.getMenuId()));
// }
if (req.getUuid() != null) {
whereBuilder.and(auditLogEntity.requestUri.contains(req.getRequestUri()));
whereBuilder.and(auditLogEntity.downloadUuid.eq(req.getUuid()));
}
if (req.getSearchValue() != null && !req.getSearchValue().isEmpty()) {
whereBuilder.and(
memberEntity
.name
.contains(req.getSearchValue())
.or(memberEntity.employeeNo.contains(req.getSearchValue())));
}
List<AuditLogDto.DownloadRes> foundContent =
queryFactory
.select(
Projections.constructor(
AuditLogDto.DownloadRes.class,
memberEntity.name,
memberEntity.employeeNo,
auditLogEntity.createdDate.as("downloadDttm")))
.from(auditLogEntity)
.leftJoin(memberEntity)
.on(auditLogEntity.userUid.eq(memberEntity.id))
.where(whereBuilder, createdDateBetween(req.getStartDate(), req.getEndDate()))
.offset(pageable.getOffset())
.limit(pageable.getPageSize())
.orderBy(auditLogEntity.createdDate.desc())
.fetch();
Long countQuery =
queryFactory
.select(auditLogEntity.userUid.countDistinct())
.from(auditLogEntity)
.leftJoin(memberEntity)
.on(auditLogEntity.userUid.eq(memberEntity.id))
.where(whereBuilder, createdDateBetween(req.getStartDate(), req.getEndDate()))
.fetchOne();
return new PageImpl<>(foundContent, pageable, countQuery);
}
@Override
public Page<AuditLogDto.DailyDetail> findLogByDailyResult(
AuditLogDto.searchReq searchReq, LocalDate logDate) {
@@ -176,6 +242,9 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
memberEntity.employeeNo.as("loginId"),
menuEntity.menuNm.as("menuName"),
auditLogEntity.eventType.as("eventType"),
Expressions.stringTemplate(
"to_char({0}, 'YYYY-MM-DD HH24:MI')", auditLogEntity.createdDate)
.as("logDateTime"),
Projections.constructor(
AuditLogDto.LogDetail.class,
Expressions.constant("한국자산관리공사"), // serviceName
@@ -184,7 +253,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
menuEntity.menuUrl.as("menuUrl"),
menuEntity.description.as("menuDescription"),
menuEntity.menuOrder.as("sortOrder"),
menuEntity.isUse.as("used"))))
menuEntity.isUse.as("used")))) // TODO
.from(auditLogEntity)
.leftJoin(menuEntity)
.on(auditLogEntity.menuUid.eq(menuEntity.menuUid))
@@ -238,8 +307,8 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
AuditLogDto.MenuDetail.class,
auditLogEntity.id.as("logId"),
Expressions.stringTemplate(
"to_char({0}, 'YYYY-MM-DD')", auditLogEntity.createdDate)
.as("logDateTime"), // ??
"to_char({0}, 'YYYY-MM-DD HH24:MI')", auditLogEntity.createdDate)
.as("logDateTime"),
memberEntity.name.as("userName"),
memberEntity.employeeNo.as("loginId"),
auditLogEntity.eventType.as("eventType"),
@@ -305,7 +374,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
AuditLogDto.UserDetail.class,
auditLogEntity.id.as("logId"),
Expressions.stringTemplate(
"to_char({0}, 'YYYY-MM-DD')", auditLogEntity.createdDate)
"to_char({0}, 'YYYY-MM-DD HH24:MI')", auditLogEntity.createdDate)
.as("logDateTime"),
menuEntity.menuNm.as("menuName"),
auditLogEntity.eventType.as("eventType"),
@@ -349,12 +418,23 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
if (Objects.isNull(startDate) || Objects.isNull(endDate)) {
return null;
}
LocalDateTime startDateTime = startDate.atStartOfDay();
LocalDateTime endDateTime = endDate.plusDays(1).atStartOfDay();
ZoneId zoneId = ZoneId.of("Asia/Seoul");
ZonedDateTime startDateTime = startDate.atStartOfDay(zoneId);
ZonedDateTime endDateTime = endDate.plusDays(1).atStartOfDay(zoneId);
return auditLogEntity
.createdDate
.goe(ZonedDateTime.from(startDateTime))
.and(auditLogEntity.createdDate.lt(ZonedDateTime.from(endDateTime)));
.goe(startDateTime)
.and(auditLogEntity.createdDate.lt(endDateTime));
}
private BooleanExpression createdDateBetween(LocalDate startDate, LocalDate endDate) {
if (startDate == null || endDate == null) {
return null;
}
ZonedDateTime start = startDate.atStartOfDay(ZONE);
ZonedDateTime endExclusive = endDate.plusDays(1).atStartOfDay(ZONE);
return auditLogEntity.createdDate.goe(start).and(auditLogEntity.createdDate.lt(endExclusive));
}
private BooleanExpression menuNameEquals(String searchValue) {
@@ -393,11 +473,11 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
}
private BooleanExpression eventEndedAtEqDate(LocalDate logDate) {
StringExpression eventEndedDate =
Expressions.stringTemplate("to_char({0}, 'YYYY-MM-DD')", auditLogEntity.createdDate);
LocalDateTime comparisonDate = logDate.atStartOfDay();
ZoneId zoneId = ZoneId.of("Asia/Seoul");
ZonedDateTime start = logDate.atStartOfDay(zoneId);
ZonedDateTime end = logDate.plusDays(1).atStartOfDay(zoneId);
return eventEndedDate.eq(comparisonDate.toString());
return auditLogEntity.createdDate.goe(start).and(auditLogEntity.createdDate.lt(end));
}
private BooleanExpression menuUidEq(String menuUid) {
@@ -410,7 +490,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
private NumberExpression<Integer> readCount() {
return new CaseBuilder()
.when(auditLogEntity.eventType.eq(EventType.READ))
.when(auditLogEntity.eventType.in(EventType.LIST, EventType.DETAIL))
.then(1)
.otherwise(0)
.sum();
@@ -418,7 +498,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
private NumberExpression<Integer> cudCount() {
return new CaseBuilder()
.when(auditLogEntity.eventType.in(EventType.CREATE, EventType.UPDATE, EventType.DELETE))
.when(auditLogEntity.eventType.in(EventType.ADDED, EventType.MODIFIED, EventType.REMOVE))
.then(1)
.otherwise(0)
.sum();
@@ -426,7 +506,7 @@ public class AuditLogRepositoryImpl implements AuditLogRepositoryCustom {
private NumberExpression<Integer> printCount() {
return new CaseBuilder()
.when(auditLogEntity.eventType.eq(EventType.PRINT))
.when(auditLogEntity.eventType.eq(EventType.OTHER))
.then(1)
.otherwise(0)
.sum();

View File

@@ -8,29 +8,35 @@ import static com.kamco.cd.training.postgres.entity.QMenuEntity.menuEntity;
import com.kamco.cd.training.log.dto.ErrorLogDto;
import com.kamco.cd.training.log.dto.EventStatus;
import com.kamco.cd.training.log.dto.EventType;
import com.kamco.cd.training.postgres.entity.AuditLogEntity;
import com.querydsl.core.types.Projections;
import com.querydsl.core.types.dsl.BooleanExpression;
import com.querydsl.core.types.dsl.Expressions;
import com.querydsl.core.types.dsl.StringExpression;
import com.querydsl.jpa.impl.JPAQueryFactory;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.ZonedDateTime;
import java.util.List;
import java.util.Objects;
import lombok.RequiredArgsConstructor;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageImpl;
import org.springframework.data.domain.Pageable;
import org.springframework.data.jpa.repository.support.QuerydslRepositorySupport;
import org.springframework.stereotype.Repository;
@Repository
@RequiredArgsConstructor
public class ErrorLogRepositoryImpl implements ErrorLogRepositoryCustom {
public class ErrorLogRepositoryImpl extends QuerydslRepositorySupport
implements ErrorLogRepositoryCustom {
private final JPAQueryFactory queryFactory;
private final StringExpression NULL_STRING = Expressions.stringTemplate("cast(null as text)");
public ErrorLogRepositoryImpl(JPAQueryFactory queryFactory) {
super(AuditLogEntity.class);
this.queryFactory = queryFactory;
}
@Override
public Page<ErrorLogDto.Basic> findLogByError(ErrorLogDto.ErrorSearchReq searchReq) {
Pageable pageable = searchReq.toPageable();
@@ -52,7 +58,7 @@ public class ErrorLogRepositoryImpl implements ErrorLogRepositoryCustom {
errorLogEntity.errorMessage.as("errorMessage"),
errorLogEntity.stackTrace.as("errorDetail"),
Expressions.stringTemplate(
"to_char({0}, 'YYYY-MM-DD')", errorLogEntity.createdDate)))
"to_char({0}, 'YYYY-MM-DD HH24:MI:SS.FF3')", errorLogEntity.createdDate)))
.from(errorLogEntity)
.leftJoin(auditLogEntity)
.on(errorLogEntity.id.eq(auditLogEntity.errorLogUid))
@@ -94,12 +100,14 @@ public class ErrorLogRepositoryImpl implements ErrorLogRepositoryCustom {
if (Objects.isNull(startDate) || Objects.isNull(endDate)) {
return null;
}
LocalDateTime startDateTime = startDate.atStartOfDay();
LocalDateTime endDateTime = endDate.plusDays(1).atStartOfDay();
ZoneId zoneId = ZoneId.of("Asia/Seoul");
ZonedDateTime startDateTime = startDate.atStartOfDay(zoneId);
ZonedDateTime endDateTime = endDate.plusDays(1).atStartOfDay(zoneId);
return auditLogEntity
.createdDate
.goe(ZonedDateTime.from(startDateTime))
.and(auditLogEntity.createdDate.lt(ZonedDateTime.from(endDateTime)));
.goe(startDateTime)
.and(auditLogEntity.createdDate.lt(endDateTime));
}
private BooleanExpression eventStatusEqFailed() {

View File

@@ -0,0 +1,7 @@
package com.kamco.cd.training.postgres.repository.model;
import com.kamco.cd.training.postgres.entity.ModelConfigEntity;
import org.springframework.data.jpa.repository.JpaRepository;
public interface ModelConfigRepository
extends JpaRepository<ModelConfigEntity, Long>, ModelConfigRepositoryCustom {}

View File

@@ -0,0 +1,10 @@
package com.kamco.cd.training.postgres.repository.model;
import com.kamco.cd.training.model.dto.ModelConfigDto;
import java.util.Optional;
public interface ModelConfigRepositoryCustom {
Optional<ModelConfigDto.Basic> findModelConfigByModelId(Long modelId);
Optional<ModelConfigDto.TransferBasic> findModelTransferConfigByModelId(Long modelId);
}

View File

@@ -0,0 +1,81 @@
package com.kamco.cd.training.postgres.repository.model;
import static com.kamco.cd.training.postgres.entity.QModelConfigEntity.modelConfigEntity;
import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
import com.kamco.cd.training.model.dto.ModelConfigDto.Basic;
import com.kamco.cd.training.model.dto.ModelConfigDto.TransferBasic;
import com.kamco.cd.training.postgres.entity.QModelConfigEntity;
import com.kamco.cd.training.postgres.entity.QModelMasterEntity;
import com.querydsl.core.types.Projections;
import com.querydsl.jpa.impl.JPAQueryFactory;
import java.util.Optional;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Repository;
@Repository
@RequiredArgsConstructor
public class ModelConfigRepositoryImpl implements ModelConfigRepositoryCustom {
private final JPAQueryFactory queryFactory;
@Override
public Optional<Basic> findModelConfigByModelId(Long modelId) {
return Optional.ofNullable(
queryFactory
.select(
Projections.constructor(
Basic.class,
modelConfigEntity.id,
modelConfigEntity.model.id,
modelConfigEntity.epochCount,
modelConfigEntity.trainPercent,
modelConfigEntity.validationPercent,
modelConfigEntity.testPercent,
modelConfigEntity.memo))
.from(modelConfigEntity)
.where(modelConfigEntity.model.id.eq(modelId))
.fetchOne());
}
@Override
public Optional<TransferBasic> findModelTransferConfigByModelId(Long modelId) {
QModelConfigEntity beforeConfig = new QModelConfigEntity("beforeConfig");
QModelMasterEntity beforeMaster = new QModelMasterEntity("beforeMaster");
return Optional.ofNullable(
queryFactory
.select(
Projections.constructor(
TransferBasic.class,
// ===== 현재 =====
modelConfigEntity.id,
modelConfigEntity.model.id,
modelConfigEntity.epochCount,
modelConfigEntity.trainPercent,
modelConfigEntity.validationPercent,
modelConfigEntity.testPercent,
modelConfigEntity.memo,
// ===== before =====
beforeConfig.id,
beforeConfig.model.id,
beforeConfig.epochCount,
beforeConfig.trainPercent,
beforeConfig.validationPercent,
beforeConfig.testPercent,
beforeConfig.memo))
.from(modelConfigEntity)
.innerJoin(modelConfigEntity.model, modelMasterEntity)
// before 모델 조인
.leftJoin(beforeMaster)
.on(beforeMaster.id.eq(modelMasterEntity.beforeModelId))
.leftJoin(beforeConfig)
.on(beforeConfig.model.id.eq(beforeMaster.id))
.where(modelMasterEntity.id.eq(modelId))
.fetchOne());
}
}

View File

@@ -6,4 +6,5 @@ import org.springframework.stereotype.Repository;
@Repository
public interface ModelDatasetMappRepository
extends JpaRepository<ModelDatasetMappEntity, ModelDatasetMappEntity.ModelDatasetMappId> {}
extends JpaRepository<ModelDatasetMappEntity, ModelDatasetMappEntity.ModelDatasetMappId>,
ModelDatasetMappRepositoryCustom {}

View File

@@ -0,0 +1,15 @@
package com.kamco.cd.training.postgres.repository.model;
import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
import java.util.List;
public interface ModelDatasetMappRepositoryCustom {
List<ModelDatasetMappEntity> findByModelUid(Long modelId);
List<ModelTrainLinkDto> findDatasetTrainPath(Long modelId);
List<ModelTrainLinkDto> findDatasetValPath(Long modelId);
List<ModelTrainLinkDto> findDatasetTestPath(Long modelId);
}

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