hehihoho3@gmail.com
b9aa04d4a3
Phase 1 of subtitle timeline studio. Upload a video in the rework editor →
proxy to Python /transcribe (faster-whisper) → store segments → render a
playback-synced segment list and export CapCut-importable SRT.
- ScriptSegment + SrtFormatter (pure, unit-tested) with speed rescaling
- ChannelVideoScript.segmentsJson column (ddl-auto adds it)
- ChannelService.transcribeFromFile + getSegments/parseSegments
- POST /{id}/transcribe (multipart), GET /{id}/script.srt?speed=, /script now returns segments
- rework.html: upload button, local <video>, segment list, SRT export + speed
- multipart 200MB limit; python.base-url config (PYTHON_BASE_URL)
- repo: findFirstByVideoIdOrderByIdDesc/findAllByVideoId (dedup-safe lookups)
Spec: docs/superpowers/specs/2026-06-12-subtitle-timeline-studio-design.md
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
68 lines
2.0 KiB
YAML
68 lines
2.0 KiB
YAML
spring:
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application:
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name: h-lab
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# Secrets are supplied via environment variables, or a git-ignored
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# application-local.yml (see application-local.yml.example). No secrets here.
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config:
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import: optional:classpath:application-local.yml
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servlet:
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multipart:
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max-file-size: ${UPLOAD_MAX_FILE_SIZE:200MB} # 업로드 영상(Whisper 전사용)
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max-request-size: ${UPLOAD_MAX_REQUEST_SIZE:200MB}
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datasource:
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url: ${DB_URL:}
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driverClassName: org.postgresql.Driver
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username: ${DB_USERNAME:}
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password: ${DB_PASSWORD:}
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jpa:
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database-platform: org.hibernate.dialect.PostgreSQLDialect
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hibernate:
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ddl-auto: update
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show-sql: false
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properties:
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hibernate:
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format_sql: false
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decorator:
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datasource:
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p6spy:
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enable-logging: true
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multiline: true
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logging: slf4j
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log-message-format: com.hlab.yanalyst.global.config.P6SpyFormatter
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tracing:
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include-parameter-values: true
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springdoc:
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swagger-ui:
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path: /swagger-ui.html
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tags-sorter: alpha
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operations-sorter: alpha
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api-docs:
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path: /v3/api-docs
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server:
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port: 8088
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# YouTube Data API 키 (YOUTUBE_API_KEY 환경변수 또는 application-local.yml 로 주입)
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youtube:
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api:
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key: ${YOUTUBE_API_KEY:}
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# Python 마이크로서비스(자막 /transcript, Whisper 전사 /transcribe). 동일 호스트면 http://localhost:8000 로 오버라이드.
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python:
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base-url: ${PYTHON_BASE_URL:http://h-python.tolag.shop}
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hlab:
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# 정기 자동 수집: 등록 채널의 신규 Shorts 를 주기적으로 수집
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scheduler:
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channel-collection:
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enabled: ${CHANNEL_COLLECTION_ENABLED:true}
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cron: ${CHANNEL_COLLECTION_CRON:0 0 4 * * *} # 매일 04:00
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channel-snapshot:
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enabled: ${CHANNEL_SNAPSHOT_ENABLED:true}
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cron: ${CHANNEL_SNAPSHOT_CRON:0 0 3 * * *} # 매일 03:00 (성장 추이 기록)
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youtube:
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daily-quota: ${YOUTUBE_DAILY_QUOTA:10000} # 자동 수집이 소비할 수 있는 일일 쿼터 상한(추정)
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