test metrics 스케줄 추가

This commit is contained in:
2026-02-11 19:09:58 +09:00
parent 207cc47f1b
commit 95548223cd
5 changed files with 89 additions and 157 deletions

View File

@@ -0,0 +1,28 @@
package com.kamco.cd.training.postgres.core;
import com.kamco.cd.training.postgres.repository.schedule.ModelTestMetricsJobRepository;
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<Long> getTestMetricSaveNotYetModelIds() {
return modelTestMetricsJobRepository.getTestMetricSaveNotYetModelIds();
}
public void insertModelMetricsTest(List<Object[]> batchArgs) {
modelTestMetricsJobRepository.insertModelMetricsTest(batchArgs);
}
}

View File

@@ -4,11 +4,9 @@ import java.util.List;
public interface ModelTestMetricsJobRepositoryCustom {
List<Long> getTrainMetricSaveNotYetModelIds();
void insertModelMetricsTrain(List<Object[]> batchArgs);
void updateModelMetricsTrainSaveYn(Long modelId, String stepNo);
void insertModelMetricsValidation(List<Object[]> batchArgs);
List<Long> getTestMetricSaveNotYetModelIds();
void insertModelMetricsTest(List<Object[]> batchArgs);
}

View File

@@ -22,33 +22,6 @@ public class ModelTestMetricsJobRepositoryImpl extends QuerydslRepositorySupport
this.jdbcTemplate = jdbcTemplate;
}
@Override
public List<Long> getTrainMetricSaveNotYetModelIds() {
return queryFactory
.select(modelMasterEntity.id)
.from(modelMasterEntity)
.where(
modelMasterEntity.step1EndDttm.isNotNull(),
modelMasterEntity.step1State.eq(TrainStatusType.COMPLETED.getId()),
modelMasterEntity
.step1MetricSaveYn
.isNull()
.or(modelMasterEntity.step1MetricSaveYn.isFalse()))
.fetch();
}
@Override
public void insertModelMetricsTrain(List<Object[]> batchArgs) {
String sql =
"""
insert into tb_model_matrics_train
(model_id, epoch, iteration, loss, lr, duration_time)
values (?, ?, ?, ?, ?, ?)
""";
jdbcTemplate.batchUpdate(sql, batchArgs);
}
@Override
public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
queryFactory
@@ -63,15 +36,30 @@ public class ModelTestMetricsJobRepositoryImpl extends QuerydslRepositorySupport
}
@Override
public void insertModelMetricsValidation(List<Object[]> batchArgs) {
public List<Long> getTestMetricSaveNotYetModelIds() {
return queryFactory
.select(modelMasterEntity.id)
.from(modelMasterEntity)
.where(
modelMasterEntity.step2EndDttm.isNotNull(),
modelMasterEntity.step2State.eq(TrainStatusType.COMPLETED.getId()),
modelMasterEntity
.step2MetricSaveYn
.isNull()
.or(modelMasterEntity.step2MetricSaveYn.isFalse()))
.fetch();
}
@Override
public void insertModelMetricsTest(List<Object[]> batchArgs) {
String sql =
"""
insert into tb_model_matrics_validation
(model_id, epoch, a_acc, m_fscore, m_precision, m_recall, m_iou, m_acc, changed_fscore, changed_precision, changed_recall,
unchanged_fscore, unchanged_precision, unchanged_recall
)
values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""";
insert into tb_model_metrics_test
(model_id, model, tp, fp, fn, precisions, recall, f1_score, accuracy, iou,
detection_count, gt_count
)
values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""";
jdbcTemplate.batchUpdate(sql, batchArgs);
}

View File

@@ -1,9 +1,6 @@
package com.kamco.cd.training.schedule.service;
import com.jcraft.jsch.ChannelSftp;
import com.jcraft.jsch.JSch;
import com.jcraft.jsch.Session;
import com.kamco.cd.training.postgres.core.ModelTrainMetricsJobCoreService;
import com.kamco.cd.training.postgres.core.ModelTestMetricsJobCoreService;
import java.io.BufferedReader;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
@@ -24,7 +21,7 @@ import org.springframework.stereotype.Service;
@RequiredArgsConstructor
public class ModelTestMetricsJobService {
private final ModelTrainMetricsJobCoreService modelTrainMetricsJobCoreService;
private final ModelTestMetricsJobCoreService modelTestMetricsJobCoreService;
@Value("${spring.profiles.active}")
private String profile;
@@ -38,42 +35,21 @@ public class ModelTestMetricsJobService {
return "local".equalsIgnoreCase(profile);
}
// @Scheduled(cron = "0 * * * * *")
// @Scheduled(cron = "0 0/10 * * * *")
public void findTestValidMetricCsvFiles() {
// if (isLocalProfile()) {
// return;
// }
if (isLocalProfile()) {
return;
}
List<Long> modelIds =
modelTrainMetricsJobCoreService
.getTrainMetricSaveNotYetModelIds(); // TODO: uid, uuid ? 가져오기로 해야함
modelTestMetricsJobCoreService
.getTestMetricSaveNotYetModelIds(); // TODO: uid, uuid ? 가져오기로 해야함
if (modelIds.isEmpty()) {
return;
}
Session session = null;
ChannelSftp sftp = null;
JSch jsch = new JSch();
// try {
// session = jsch.getSession("kcomu", "192.168.2.86", 22);
// session.setPassword("Kamco2025!");
//
// Properties config = new Properties();
// config.put("StrictHostKeyChecking", "no");
// session.setConfig(config);
//
// session.connect();
//
// sftp = (ChannelSftp) session.openChannel("sftp");
// sftp.connect();
// InputStream csvInputStream =
// sftp.get("/home/kcomu/data/response/test/metrics/train.csv");
String localPath = "C:\\data\\upload\\train.csv";
String localPath = "C:\\data\\upload\\test.csv";
try (BufferedReader reader =
Files.newBufferedReader(Paths.get(localPath), StandardCharsets.UTF_8); ) {
@@ -84,73 +60,41 @@ public class ModelTestMetricsJobService {
for (CSVRecord record : parser) {
int epoch = Integer.parseInt(record.get("Epoch"));
long iteration = Long.parseLong(record.get("Iteration"));
double Loss = Double.parseDouble(record.get("Loss"));
double LR = Double.parseDouble(record.get("LR"));
float time = Float.parseFloat(record.get("Time"));
batchArgs.add(new Object[] {modelIds.getFirst(), epoch, iteration, Loss, LR, time});
}
modelTrainMetricsJobCoreService.insertModelMetricsTrain(batchArgs);
} catch (IOException e) {
throw new RuntimeException(e);
}
String validationPath = "C:\\data\\upload\\val.csv";
try (BufferedReader reader =
Files.newBufferedReader(Paths.get(validationPath), StandardCharsets.UTF_8); ) {
log.info("### validationPath={}", validationPath);
CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
List<Object[]> batchArgs = new ArrayList<>();
for (CSVRecord record : parser) {
int epoch = Integer.parseInt(record.get("Epoch"));
float aAcc = Float.parseFloat(record.get("aAcc"));
float mFscore = Float.parseFloat(record.get("mFscore"));
float mPrecision = Float.parseFloat(record.get("mPrecision"));
float mRecall = Float.parseFloat(record.get("mRecall"));
float mIoU = Float.parseFloat(record.get("mIoU"));
float mAcc = Float.parseFloat(record.get("mAcc"));
float changed_fscore = Float.parseFloat(record.get("changed_fscore"));
float changed_precision = Float.parseFloat(record.get("changed_precision"));
float changed_recall = Float.parseFloat(record.get("changed_recall"));
float unchanged_fscore = Float.parseFloat(record.get("unchanged_fscore"));
float unchanged_precision = Float.parseFloat(record.get("unchanged_precision"));
float unchanged_recall = Float.parseFloat(record.get("unchanged_recall"));
String model = record.get("model");
long TP = Long.parseLong(record.get("TP"));
long FP = Long.parseLong(record.get("FP"));
long FN = Long.parseLong(record.get("FN"));
float precision = Float.parseFloat(record.get("precision"));
float recall = Float.parseFloat(record.get("recall"));
float f1_score = Float.parseFloat(record.get("f1_score"));
float accuracy = Float.parseFloat(record.get("accuracy"));
float iou = Float.parseFloat(record.get("iou"));
long detection_count = Long.parseLong(record.get("detection_count"));
long gt_count = Long.parseLong(record.get("gt_count"));
batchArgs.add(
new Object[] {
modelIds.getFirst(),
epoch,
aAcc,
mFscore,
mPrecision,
mRecall,
mIoU,
mAcc,
changed_fscore,
changed_precision,
changed_recall,
unchanged_fscore,
unchanged_precision,
unchanged_recall
model,
TP,
FP,
FN,
precision,
recall,
f1_score,
accuracy,
iou,
detection_count,
gt_count
});
}
modelTrainMetricsJobCoreService.insertModelMetricsValidation(batchArgs);
modelTestMetricsJobCoreService.insertModelMetricsTest(batchArgs);
} catch (IOException e) {
throw new RuntimeException(e);
}
// } catch (JSchException | SftpException e) {
// throw new RuntimeException(e);
// }
modelTrainMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step1");
modelTestMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step2");
}
}

View File

@@ -1,8 +1,5 @@
package com.kamco.cd.training.schedule.service;
import com.jcraft.jsch.ChannelSftp;
import com.jcraft.jsch.JSch;
import com.jcraft.jsch.Session;
import com.kamco.cd.training.postgres.core.ModelTrainMetricsJobCoreService;
import java.io.BufferedReader;
import java.io.IOException;
@@ -38,7 +35,7 @@ public class ModelTrainMetricsJobService {
return "local".equalsIgnoreCase(profile);
}
// @Scheduled(cron = "0 0/5 * * * *")
// @Scheduled(cron = "0 0/10 * * * *")
public void findTrainValidMetricCsvFiles() {
if (isLocalProfile()) {
return;
@@ -52,27 +49,6 @@ public class ModelTrainMetricsJobService {
return;
}
Session session = null;
ChannelSftp sftp = null;
JSch jsch = new JSch();
// try {
// session = jsch.getSession("kcomu", "192.168.2.86", 22);
// session.setPassword("Kamco2025!");
//
// Properties config = new Properties();
// config.put("StrictHostKeyChecking", "no");
// session.setConfig(config);
//
// session.connect();
//
// sftp = (ChannelSftp) session.openChannel("sftp");
// sftp.connect();
// InputStream csvInputStream =
// sftp.get("/home/kcomu/data/response/test/metrics/train.csv");
String localPath = "C:\\data\\upload\\train.csv";
try (BufferedReader reader =
Files.newBufferedReader(Paths.get(localPath), StandardCharsets.UTF_8); ) {
@@ -148,9 +124,7 @@ public class ModelTrainMetricsJobService {
} catch (IOException e) {
throw new RuntimeException(e);
}
// } catch (JSchException | SftpException e) {
// throw new RuntimeException(e);
// }
modelTrainMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step1");
}
}