a504bf8ee5
- WebSearchService 신규 (Naver webkr.json 우선, 키 미설정/실패 시 DDG) - RestaurantController.searchTabling/searchCatchtable 내부 호출 교체 - 인라인 DDG 80줄 제거, 미사용 import 정리 - app.naver.client-id/secret 추가 (env: NAVER_CLIENT_ID/SECRET) - k8s secrets template에 NAVER 키 항목 Refs: #357 (close) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
96 lines
2.8 KiB
YAML
96 lines
2.8 KiB
YAML
server:
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port: 8000
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spring:
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threads:
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virtual:
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enabled: true
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datasource:
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url: jdbc:oracle:thin:@${ORACLE_DSN}
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username: ${ORACLE_USER}
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password: ${ORACLE_PASSWORD}
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driver-class-name: oracle.jdbc.OracleDriver
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hikari:
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minimum-idle: 2
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maximum-pool-size: 10
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connection-timeout: 30000
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idle-timeout: 600000
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max-lifetime: 1800000
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pool-name: TastebyHikariPool
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connection-init-sql: "SELECT 1 FROM DUAL"
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data:
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redis:
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host: ${REDIS_HOST:192.168.0.147}
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port: ${REDIS_PORT:6379}
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database: ${REDIS_DB:0}
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timeout: 2000ms
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jackson:
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default-property-inclusion: non_null
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property-naming-strategy: SNAKE_CASE
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serialization:
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write-dates-as-timestamps: false
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app:
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jwt:
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secret: ${JWT_SECRET:tasteby-dev-secret-change-me}
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expiration-days: 7
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cors:
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allowed-origins: http://localhost:3000,http://localhost:3001,https://www.tasteby.net,https://tasteby.net,https://dev.tasteby.net
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oracle:
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wallet-path: ${ORACLE_WALLET:}
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oci:
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compartment-id: ${OCI_COMPARTMENT_ID}
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chat-endpoint: ${OCI_CHAT_ENDPOINT:https://inference.generativeai.us-ashburn-1.oci.oraclecloud.com}
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embed-endpoint: ${OCI_GENAI_ENDPOINT:https://inference.generativeai.us-chicago-1.oci.oraclecloud.com}
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chat-model-id: ${OCI_CHAT_MODEL_ID}
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embed-model-id: ${OCI_EMBED_MODEL_ID:cohere.embed-v4.0}
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google:
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maps-api-key: ${GOOGLE_MAPS_API_KEY}
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youtube-api-key: ${YOUTUBE_DATA_API_KEY}
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client-id: ${GOOGLE_CLIENT_ID:635551099330-2l003d3ernjmkqavd4f6s78r8r405iml.apps.googleusercontent.com}
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# #357 — Naver Search API (Tabling/Catchtable URL 매칭). 미설정 시 DDG 폴백.
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naver:
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client-id: ${NAVER_CLIENT_ID:}
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client-secret: ${NAVER_CLIENT_SECRET:}
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cache:
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ttl-seconds: 600
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search:
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# #293 — 벡터 검색 cosine distance 임계값 (0.0=완전일치, 1.0=직교).
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# 0.57은 cohere embed-v4 한국어 시맨틱 적합도 기준 경험값.
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max-distance: ${SEARCH_MAX_DISTANCE:0.57}
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rate-limit:
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# #337 — 같은 IP에서 visit 카운트 허용 간격(초). 기본 60.
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visit-window-seconds: ${VISIT_WINDOW_SECONDS:60}
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build:
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# #338 — 배포 시 deploy.sh가 env로 주입. dev에서는 dev/unknown.
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version: ${APP_VERSION:dev}
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commit: ${APP_COMMIT:unknown}
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daemon:
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# 인스턴스 차원 스케줄러 활성화. dev/prod가 같은 DB를 공유하므로
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# dev .env에 DAEMON_ENABLED=false를 설정해 dev 폴링을 끄고 prod만 동작시킨다.
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enabled: ${DAEMON_ENABLED:true}
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mybatis:
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mapper-locations: classpath:mybatis/mapper/*.xml
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config-location: classpath:mybatis/mybatis-config.xml
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type-aliases-package: com.tasteby.domain
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type-handlers-package: com.tasteby.config
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logging:
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level:
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com.tasteby: DEBUG
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com.tasteby.mapper: DEBUG
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