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[Feat] 직무 분류 자동 기능 구현 (#27)
1 parent 7a68e39 commit b541536

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Lines changed: 163 additions & 1 deletion

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‎.env.example‎

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@@ -27,5 +27,6 @@ GOOGLE_CLIENT_ID=change-me.apps.googleusercontent.com
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GOOGLE_CLIENT_SECRET=change-me
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APP_OAUTH2_REDIRECT_URI=http://localhost:3000/oauth2/redirect
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OPENAI_API_KEY=change-me
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JOB_POSTING_CLASSIFICATION_CONFIDENCE_THRESHOLD=0.65
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MANAGEMENT_HEALTH_SHOW_DETAILS=always

‎.env.production.example‎

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@@ -31,5 +31,6 @@ GOOGLE_CLIENT_ID=change-me.apps.googleusercontent.com
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GOOGLE_CLIENT_SECRET=change-me
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APP_OAUTH2_REDIRECT_URI=https://your-frontend-domain/oauth2/redirect
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OPENAI_API_KEY=change-me
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JOB_POSTING_CLASSIFICATION_CONFIDENCE_THRESHOLD=0.65
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MANAGEMENT_HEALTH_SHOW_DETAILS=never

‎src/main/java/com/jobdri/jobdri_api/domain/jobposting/controller/JobPostingAiController.java‎

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import com.jobdri.jobdri_api.domain.jobposting.service.JobPostingIngestService;
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import com.jobdri.jobdri_api.global.apiPayload.ApiResponse;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.media.Content;
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import io.swagger.v3.oas.annotations.media.ExampleObject;
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import io.swagger.v3.oas.annotations.media.Schema;
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import io.swagger.v3.oas.annotations.responses.ApiResponses;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import jakarta.validation.Valid;
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import lombok.RequiredArgsConstructor;
@@ -60,6 +64,128 @@ public ApiResponse<JobPostingExtractResponse> extractJobPostingFromMultipart(
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summary = "채용 공고 추출부터 분류, 생성, 저장까지 일괄 처리",
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description = "이미지 또는 텍스트 공고를 추출하고, trigram 후보 검색과 AI 재분류를 거쳐 최종 소분류를 선택한 뒤 공고를 생성하고 저장합니다."
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)
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@ApiResponses(value = {
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@io.swagger.v3.oas.annotations.responses.ApiResponse(
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responseCode = "200",
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description = "분류 confidence가 충분하여 저장까지 완료된 경우",
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content = @Content(
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mediaType = "application/json",
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schema = @Schema(implementation = ApiResponse.class),
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examples = @ExampleObject(value = """
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{
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"isSuccess": true,
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"code": "COMMON2000",
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"message": "채용 공고 추출 및 저장에 성공했습니다.",
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"result": {
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"savedToDatabase": true,
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"message": "채용 공고 추출 및 저장에 성공했습니다.",
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"extracted": {
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"companyName": "삼성전자",
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"jobTitle": "백엔드 개발자",
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"task": "백엔드 서비스 개발 및 운영",
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"requirements": "Java/Spring 기반 개발 경험",
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"preferredQualifications": "대용량 트래픽 처리 경험",
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"rawText": "채용 공고 원문 내용",
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"confidence": 0.92
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},
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"candidates": [
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{
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"detailClassificationId": 101,
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"detailClassificationName": "Java/Spring",
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"middleClassificationName": "백엔드",
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"bigClassificationName": "개발",
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"score": 0.91
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}
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],
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"classification": {
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"detailClassificationId": 101,
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"detailClassificationName": "Java/Spring",
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"middleClassificationName": "백엔드",
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"bigClassificationName": "개발",
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"reason": "Spring Boot, JPA, API 개발 맥락이 가장 강합니다.",
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"confidence": 0.87
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},
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"generated": {
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"companyName": "삼성전자",
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"jobTitle": "Java/Spring 백엔드 개발자",
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"task": "백엔드 서비스 개발 및 운영\\nAPI 설계 및 성능 개선",
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"requirements": "Java/Spring 기반 개발 경험\\nRDB 사용 경험",
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"preferredQualifications": "대용량 트래픽 처리 경험\\nRedis 사용 경험",
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"summary": "서비스 백엔드 개발과 운영을 담당할 인재를 찾습니다."
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},
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"saved": {
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"jobPostingId": 10,
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"companyId": 3,
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"companyName": "삼성전자",
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"companySize": "ENTERPRISE",
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"detailClassificationId": 101,
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"detailClassificationName": "Java/Spring",
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"task": "백엔드 서비스 개발 및 운영\\nAPI 설계 및 성능 개선",
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"requirement": "Java/Spring 기반 개발 경험\\nRDB 사용 경험",
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"preferred": "대용량 트래픽 처리 경험\\nRedis 사용 경험"
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}
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},
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"error": null
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}
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""")
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)
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),
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@io.swagger.v3.oas.annotations.responses.ApiResponse(
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responseCode = "200",
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description = "분류 confidence가 낮아 저장을 보류한 경우",
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content = @Content(
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mediaType = "application/json",
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schema = @Schema(implementation = ApiResponse.class),
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examples = @ExampleObject(value = """
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{
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"isSuccess": true,
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"code": "COMMON2000",
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"message": "채용 공고 추출 및 저장에 성공했습니다.",
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"result": {
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"savedToDatabase": false,
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"message": "소분류 분류 confidence가 낮아 저장을 보류했습니다.",
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"extracted": {
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"companyName": "어떤회사",
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"jobTitle": "개발자",
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"task": "서비스 개발",
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"requirements": "개발 경험",
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"preferredQualifications": "우대 사항",
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"rawText": "채용 공고 원문 내용",
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"confidence": 0.79
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},
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"candidates": [
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{
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"detailClassificationId": 101,
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"detailClassificationName": "Java/Spring",
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"middleClassificationName": "백엔드",
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"bigClassificationName": "개발",
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"score": 0.62
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},
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{
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"detailClassificationId": 102,
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"detailClassificationName": "Node.js",
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"middleClassificationName": "백엔드",
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"bigClassificationName": "개발",
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"score": 0.58
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}
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],
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"classification": {
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"detailClassificationId": 101,
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"detailClassificationName": "Java/Spring",
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"middleClassificationName": "백엔드",
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"bigClassificationName": "개발",
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"reason": "후보 간 차이가 크지 않습니다.",
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"confidence": 0.49
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},
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"generated": null,
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"saved": null
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},
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"error": null
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}
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""")
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)
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)
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})
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@PostMapping(value = "/ingest", consumes = MediaType.MULTIPART_FORM_DATA_VALUE)
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public ApiResponse<JobPostingIngestResponse> ingestJobPosting(
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@ModelAttribute JobPostingIngestMultipartRequest request

‎src/main/java/com/jobdri/jobdri_api/domain/jobposting/dto/response/JobPostingIngestResponse.java‎

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@AllArgsConstructor
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public class JobPostingIngestResponse {
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private boolean savedToDatabase;
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private String message;
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private JobPostingExtractResponse extracted;
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private List<JobPostingClassificationCandidateResponse> candidates;
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private JobPostingClassificationResultResponse classification;

‎src/main/java/com/jobdri/jobdri_api/domain/jobposting/service/JobPostingIngestService.java‎

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import com.jobdri.jobdri_api.global.apiPayload.code.GeneralErrorCode;
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import com.jobdri.jobdri_api.global.apiPayload.exception.GeneralException;
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import lombok.RequiredArgsConstructor;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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private static final int DEFAULT_CANDIDATE_LIMIT = 10;
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@Value("${job-posting.ingest.classification-confidence-threshold:0.65}")
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private double classificationConfidenceThreshold;
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private final JobPostingAiService jobPostingAiService;
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private final JobPostingClassificationService jobPostingClassificationService;
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private final JobPostingService jobPostingService;
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JobPostingClassificationResultResponse classification =
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jobPostingAiService.classifyDetailClassification(extracted, candidates);
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if (classification.getConfidence() < classificationConfidenceThreshold) {
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return new JobPostingIngestResponse(
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false,
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"소분류 분류 confidence가 낮아 저장을 보류했습니다.",
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extracted,
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candidates,
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classification,
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null,
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null
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);
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}
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JobPostingGenerateResponse generated = jobPostingAiService.generateJobPosting(
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new JobPostingGenerateRequest(
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extracted.getCompanyName(),
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)
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);
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return new JobPostingIngestResponse(extracted, candidates, classification, generated, saved);
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return new JobPostingIngestResponse(
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true,
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"채용 공고 추출 및 저장에 성공했습니다.",
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extracted,
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candidates,
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classification,
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generated,
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saved
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);
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}
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private String fallbackCompanyName(String companyName) {

‎src/main/resources/application-prod.yaml‎

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key: ${OPENAI_API_KEY}
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model:
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job-posting-extractor: ${OPENAI_JOB_POSTING_MODEL:gpt-4o-mini}
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job-posting:
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ingest:
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classification-confidence-threshold: ${JOB_POSTING_CLASSIFICATION_CONFIDENCE_THRESHOLD}

‎src/main/resources/application.yaml‎

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key: ${OPENAI_API_KEY:}
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model:
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job-posting-extractor: ${OPENAI_JOB_POSTING_MODEL:gpt-4o-mini}
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job-posting:
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ingest:
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classification-confidence-threshold: ${JOB_POSTING_CLASSIFICATION_CONFIDENCE_THRESHOLD}

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