91 lines
2.5 KiB
YAML
91 lines
2.5 KiB
YAML
server:
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port: 8080
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spring:
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application:
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name: kamco-change-detection-api
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profiles:
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active: local # 사용할 프로파일 지정 (ex. dev, prod, test)
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datasource:
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driver-class-name: org.postgresql.Driver
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hikari:
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jdbc:
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time_zone: UTC
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batch_size: 50
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# 권장 설정
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minimum-idle: 2
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maximum-pool-size: 2
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connection-timeout: 20000
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idle-timeout: 300000
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max-lifetime: 1800000
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leak-detection-threshold: 60000
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data:
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redis:
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host: localhost
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port: 6379
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password:
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jpa:
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hibernate:
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ddl-auto: update # 테이블이 없으면 생성, 있으면 업데이트
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properties:
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hibernate:
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jdbc:
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batch_size: 50
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default_batch_fetch_size: 100
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logging:
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level:
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root: INFO
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org.springframework.web: DEBUG
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org.springframework.security: DEBUG
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# 헬스체크 노이즈 핵심만 다운
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org.springframework.security.web.FilterChainProxy: INFO
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org.springframework.security.web.authentication.AnonymousAuthenticationFilter: INFO
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org.springframework.security.web.authentication.Http403ForbiddenEntryPoint: INFO
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org.springframework.web.servlet.DispatcherServlet: INFO
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# actuator
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management:
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health:
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readinessstate:
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enabled: true
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livenessstate:
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enabled: true
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endpoint:
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health:
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probes:
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enabled: true
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show-details: always
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endpoints:
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jmx:
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exposure:
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exclude: "*"
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web:
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base-path: /monitor
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exposure:
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include:
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- "health"
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file:
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root: kamco-nfs
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nfs: /kamco-nfs
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sync-root-dir: ${file.nfs}/images/
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sync-tmp-dir: ${file.nfs}/requests/temp # image upload temp dir
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sync-file-extention: tfw,tif
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dataset-dir: ${file.nfs}/model_output/export/ # 마운트경로 AI 추론결과
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dataset-tmp-dir: ${file.dataset-dir}tmp/
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model-dir: ${file.nfs}/ckpt/model/ # 학습서버에서 트레이닝한 모델업로드경로
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model-tmp-dir: ${file.model-dir}tmp/
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model-file-extention: pth,json,py
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pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
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dataset-response: ${file.nfs}/dataset/response/
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training-data:
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geojson-dir: ${file.nfs}/dataset/request/
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output-dir: ${file.nfs}/dataset/export/ # 마운트 경로 : 국유인 연계 등록할 추론 shp 파일
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inference:
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nfs: /kamco-nfs
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geojson-dir: ${inference.nfs}/requests/ # 추론실행을 위한 파일생성경로
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jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
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