65 lines
1.6 KiB
YAML
65 lines
1.6 KiB
YAML
server:
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address : ":3001"
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name: "media"
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workerId: 1
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logPath: "resource/log/server"
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logStdout: true
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errorStack: true
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# 开启请求访问日志
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accessLogEnabled: true
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# 上传文件大小限制（视频文件通常较大）
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clientMaxBodySize: "200MB"
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rate:
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limit: 200
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burst: 300
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# 数据库配置（PostgreSQL）
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database:
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default:
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type: "pgsql"
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host: "116.204.74.41"
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port: "15432"
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user: "postgres"
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pass: "Bjang09@686^*^"
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name: "media"
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role: "master"
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maxIdle: "5"
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maxOpen: "20"
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maxLifetime: "60s"
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charset: "utf8mb4"
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debug: true
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dryRun: false
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createdAt: "created_at"
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updatedAt: "updated_at"
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deletedAt: "deleted_at"
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timeMaintainDisabled: false
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consul:
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address: 192.168.3.30:8500
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jaeger:
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addr: 116.204.74.41:4318
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# FFmpeg 配置（视频音频提取）
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ffmpeg:
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# ffmpeg 可执行文件路径，留空则从 PATH 查找
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path: ""
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# 临时文件目录（上传的视频和提取的音频）
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temp_dir: "resource/temp"
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# Whisper 语音识别配置
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whisper:
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# whisper 可执行文件路径，留空则自动查找
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# 优先检测: whisper-cpp(推荐) > whisper > python -m whisper
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# 安装 whisper.cpp: brew install whisper-cpp（速度比 Python 快 3-5 倍）
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path: ""
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# 默认模型: tiny(75MB/最快) / base(150MB) / small(500MB) / medium(1.5GB)
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# CPU 环境建议用 tiny，MacBook Air 用 base 即可
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model: "medium"
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# 默认语言（zh=中文, en=英文, ja=日文 等）
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language: "zh"
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# 模型缓存目录，留空使用默认 (~/.cache/whisper/)
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model_dir: ""
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# CPU 线程数（限制资源占用，建议 2-4）
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threads: 2
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