deepdata: track product config and env defaults for self-contained deployment

2026-08-30 19:27:22 +08:00
parent e1d21036f8
commit 173e2866a3
13 changed files with 778 additions and 208 deletions
@@ -0,0 +1,79 @@
+# 镜像仓库与版本
+REGISTRY=
+VERSION=latest
+
+# 数据库核心密码【必须修改】
+DB_PASSWORD=Apescale123
+
+# JWT配置 (必须 >= 32 字符，即 256 bits)
+JWT_SECRET=ApescaleSuperSecureJwtSecretKey2026v1
+DEEPDATA_JWT_ENABLE=false
+
+# 日志轮转配置
+LOG_ROTATION_MAX_SIZE=100MB
+LOG_ROTATION_BACKUP_COUNT=30
+LOG_LEVEL=INFO
+
+# 日志磁盘监控
+LOG_PVC_MONITOR_ENABLED=true
+LOG_PVC_MONITOR_PATH=/var/log/deepdata
+LOG_PVC_MONITOR_THRESHOLD=0.9
+LOG_PVC_MONITOR_INTERVAL_SECONDS=300
+LOG_PVC_MONITOR_DELETE_BATCH_SIZE=10
+LOG_PVC_MONITOR_FILE_SUFFIXES=log,out,err
+
+# Milvus向量库配置（启用milvus profile生效）
+MILVUS_URI=http://milvus:19530
+MINIO_ACCESS_KEY=minioadmin
+MINIO_SECRET_KEY=Minio@Passw0rd
+
+# LabelStudio配置
+LABEL_STUDIO_USERNAME=admin@demo.com
+LABEL_STUDIO_PASSWORD=LabelStudio@123
+LABEL_STUDIO_USER_TOKEN=50d54c9fa842a1cd8e26c55efa7113db22870c47
+LABEL_STUDIO_HOST=http://labelstudio.ailab.yilise.com
+LABEL_STUDIO_BASE_URL=http://label-studio:8000
+
+# MinerU额外启动参数
+EXTRA_ARGS=
+
+
+MINIO_ACCESS_KEY_ID=minioadmin
+MINIO_SECRET_ACCESS_KEY=Minio@Passw0rd
+AWS_REGION=us-east-1
+
+# ==========================================
+# Ray 分布式集群配置
+# ==========================================
+
+# 1. Redis 密码 (Ray Head 强依赖 Redis)
+RAY_REDIS_PASSWORD=ray_redis_secret
+RAY_REDIS_ADDRESS=deepdata-ray-redis:6379
+
+# 2. Dashboard 地址 (用于 Client 提交任务，即 job_task_scheduler.py 读取的值)
+# 注意：默认值是 K8s 的 svc，这里覆盖为 Compose 服务名
+RAY_DASHBOARD_ADDRESS=http://deepdata-ray-head:8265
+
+# 3. Head GCS 地址 (用于 Worker 节点加入集群)
+RAY_HEAD_GCS_ADDRESS=deepdata-ray-head:6379
+
+# Ray Head 端口配置
+RAY_HEAD_PORT=6379
+RAY_DASHBOARD_PORT=8265
+RAY_CLIENT_PORT=10001
+
+# Ray Worker 资源配置 (可根据服务器性能调整)
+# NUM_CPUS: 每个 Worker 容器分配的 CPU 核数
+RAY_WORKER_NUM_CPUS=4
+# NUM_GPUS: 如果不需要 GPU 则设为 0
+RAY_WORKER_NUM_GPUS=0
+
+ENABLE_RAY_EXECUTION=true
+
+# ==========================================
+# Collection Task Execution Mode
+# - local:  Backend 本地执行 (默认，兼容旧版)
+# - runtime: 提交给 Runtime -> Ray 集群执行
+# ==========================================
+COLLECTION_EXECUTION_MODE=runtime
+