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실행 오류 수정

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teddy
2026-02-12 10:51:15 +09:00
parent d2fff7dfde
commit 6572e17f00
11 changed files with 11 additions and 11 deletions
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100
src/main/java/com/kamco/cd/training/train/service/ModelTestMetricsJobService.java Normal file
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package com.kamco.cd.training.train.service;
import com.kamco.cd.training.postgres.core.ModelTestMetricsJobCoreService;
import java.io.BufferedReader;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVParser;
import org.apache.commons.csv.CSVRecord;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
@Slf4j
@Service
@RequiredArgsConstructor
public class ModelTestMetricsJobService {
private final ModelTestMetricsJobCoreService modelTestMetricsJobCoreService;
@Value("${spring.profiles.active}")
private String profile;
/**
* 실행중인 profile
*
* @return
*/
private boolean isLocalProfile() {
return "local".equalsIgnoreCase(profile);
}
// @Scheduled(cron = "0 0/10 * * * *")
public void findTestValidMetricCsvFiles() {
if (isLocalProfile()) {
return;
}
List<Long> modelIds =
modelTestMetricsJobCoreService
.getTestMetricSaveNotYetModelIds(); // TODO: uid, uuid ? 가져오기로 해야함
if (modelIds.isEmpty()) {
return;
}
String localPath = "C:\\data\\upload\\test.csv";
try (BufferedReader reader =
Files.newBufferedReader(Paths.get(localPath), StandardCharsets.UTF_8); ) {
log.info("### localPath={}", localPath);
CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
List<Object[]> batchArgs = new ArrayList<>();
for (CSVRecord record : parser) {
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(),
model,
TP,
FP,
FN,
precision,
recall,
f1_score,
accuracy,
iou,
detection_count,
gt_count
});
}
modelTestMetricsJobCoreService.insertModelMetricsTest(batchArgs);
} catch (IOException e) {
throw new RuntimeException(e);
}
modelTestMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step2");
}
}

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src/main/java/com/kamco/cd/training/train/service/ModelTrainMetricsJobService.java Normal file
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package com.kamco.cd.training.train.service;
import com.kamco.cd.training.postgres.core.ModelTrainMetricsJobCoreService;
import java.io.BufferedReader;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVParser;
import org.apache.commons.csv.CSVRecord;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
@Slf4j
@Service
@RequiredArgsConstructor
public class ModelTrainMetricsJobService {
private final ModelTrainMetricsJobCoreService modelTrainMetricsJobCoreService;
@Value("${spring.profiles.active}")
private String profile;
/**
* 실행중인 profile
*
* @return
*/
private boolean isLocalProfile() {
return "local".equalsIgnoreCase(profile);
}
// @Scheduled(cron = "0 0/10 * * * *")
public void findTrainValidMetricCsvFiles() {
if (isLocalProfile()) {
return;
}
List<Long> modelIds =
modelTrainMetricsJobCoreService
.getTrainMetricSaveNotYetModelIds(); // TODO: uid, uuid ? 가져오기로 해야함
if (modelIds.isEmpty()) {
return;
}
String localPath = "C:\\data\\upload\\train.csv";
try (BufferedReader reader =
Files.newBufferedReader(Paths.get(localPath), StandardCharsets.UTF_8); ) {
log.info("### localPath={}", localPath);
CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
List<Object[]> batchArgs = new ArrayList<>();
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"));
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
});
}
modelTrainMetricsJobCoreService.insertModelMetricsValidation(batchArgs);
} catch (IOException e) {
throw new RuntimeException(e);
}
modelTrainMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step1");
}
}