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80 lines
2.2 KiB
Bash
80 lines
2.2 KiB
Bash
# 镜像仓库与版本
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REGISTRY=
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VERSION=latest
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# 数据库核心密码【必须修改】
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DB_PASSWORD=Apescale123
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# JWT配置 (必须 >= 32 字符，即 256 bits)
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JWT_SECRET=ApescaleSuperSecureJwtSecretKey2026v1
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DEEPDATA_JWT_ENABLE=false
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# 日志轮转配置
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LOG_ROTATION_MAX_SIZE=100MB
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LOG_ROTATION_BACKUP_COUNT=30
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LOG_LEVEL=INFO
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# 日志磁盘监控
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LOG_PVC_MONITOR_ENABLED=true
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LOG_PVC_MONITOR_PATH=/var/log/deepdata
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LOG_PVC_MONITOR_THRESHOLD=0.9
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LOG_PVC_MONITOR_INTERVAL_SECONDS=300
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LOG_PVC_MONITOR_DELETE_BATCH_SIZE=10
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LOG_PVC_MONITOR_FILE_SUFFIXES=log,out,err
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# Milvus向量库配置（启用milvus profile生效）
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MILVUS_URI=http://milvus:19530
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MINIO_ACCESS_KEY=minioadmin
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MINIO_SECRET_KEY=Minio@Passw0rd
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# LabelStudio配置
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LABEL_STUDIO_USERNAME=admin@demo.com
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LABEL_STUDIO_PASSWORD=LabelStudio@123
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LABEL_STUDIO_USER_TOKEN=50d54c9fa842a1cd8e26c55efa7113db22870c47
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LABEL_STUDIO_HOST=http://labelstudio.ailab.yilise.com
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LABEL_STUDIO_BASE_URL=http://label-studio:8000
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# MinerU额外启动参数
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EXTRA_ARGS=
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MINIO_ACCESS_KEY_ID=minioadmin
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MINIO_SECRET_ACCESS_KEY=Minio@Passw0rd
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AWS_REGION=us-east-1
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# ==========================================
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# Ray 分布式集群配置
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# ==========================================
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# 1. Redis 密码 (Ray Head 强依赖 Redis)
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RAY_REDIS_PASSWORD=ray_redis_secret
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RAY_REDIS_ADDRESS=deepdata-ray-redis:6379
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# 2. Dashboard 地址 (用于 Client 提交任务，即 job_task_scheduler.py 读取的值)
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# 注意：默认值是 K8s 的 svc，这里覆盖为 Compose 服务名
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RAY_DASHBOARD_ADDRESS=http://deepdata-ray-head:8265
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# 3. Head GCS 地址 (用于 Worker 节点加入集群)
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RAY_HEAD_GCS_ADDRESS=deepdata-ray-head:6379
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# Ray Head 端口配置
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RAY_HEAD_PORT=6379
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RAY_DASHBOARD_PORT=8265
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RAY_CLIENT_PORT=10001
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# Ray Worker 资源配置 (可根据服务器性能调整)
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# NUM_CPUS: 每个 Worker 容器分配的 CPU 核数
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RAY_WORKER_NUM_CPUS=4
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# NUM_GPUS: 如果不需要 GPU 则设为 0
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RAY_WORKER_NUM_GPUS=0
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ENABLE_RAY_EXECUTION=true
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# ==========================================
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# Collection Task Execution Mode
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# - local: Backend 本地执行 (默认，兼容旧版)
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# - runtime: 提交给 Runtime -> Ray 集群执行
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# ==========================================
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COLLECTION_EXECUTION_MODE=runtime
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