143 lines
6.7 KiB
Bash
143 lines
6.7 KiB
Bash
COMPOSE_PROJECT_NAME=model-platform-develop
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SCHEDULE_EVENT_NAMESPACE=model-platform-develop
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# External port of the Nginx gateway. Only Nginx is exposed to the host
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# (architecture §2.2); backend/runtime/schedule stay on the Docker internal
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# network. Override here to expose Nginx on a different host port.
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GATEWAY_PORT=8890
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# External MySQL. URL-encode reserved characters in DATABASE_URL.
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MYSQL_HOST=127.0.0.1
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MYSQL_PORT=3306
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MYSQL_USER=root
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MYSQL_PASSWORD=change-me
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MYSQL_DATABASE=model_platform
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DATABASE_URL=mysql+asyncmy://root:change-me@127.0.0.1:3306/model_platform?charset=utf8mb4
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# 运维模块独立库；省略时后端自动复用 DATABASE_URL 的账号和主机，
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# 仅将数据库名切换为 model_operations。
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OPERATIONS_DATABASE_URL=mysql+asyncmy://root:change-me@127.0.0.1:3306/model_operations?charset=utf8mb4
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# 运维模块访问另外两库时使用专用只读 Session；生产建议配置 DBA
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# 创建的只读账号，不要复用 root。
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PLATFORM_READ_DATABASE_URL=mysql+asyncmy://readonly:change-me@127.0.0.1:3306/model_platform?charset=utf8mb4
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DEPLOY_DATABASE_URL=mysql+asyncmy://readonly:change-me@127.0.0.1:3306/model_deploy?charset=utf8mb4
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# Redis is an optional accelerator: cache + Streams only. MySQL Outbox remains
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# the reliable source of truth when Redis is unavailable.
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REDIS_URL=redis://127.0.0.1:6379/0
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OPERATIONS_CACHE_TTL_SECONDS=300
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OPERATIONS_REDIS_PREFIX=model-platform:operations
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OPERATIONS_EVENT_STREAM=model-platform:operations:events
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OPERATIONS_EVENT_STREAM_MAXLEN=10000
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OPERATIONS_DATA_MODE=database
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JWT_SECRET=change-this-development-secret
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# AES-256 configuration decryption key used only when a value is wrapped in ENC(...).
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# Replace before deployment; keep the same value across all four services.
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APP_CONFIG_SECRET_KEY=change-this-config-secret-key
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# Force the Secure flag on the session cookie even when the inbound request
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# scheme is plain HTTP. Enable behind a TLS-terminating reverse proxy that
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# strips/rewrites X-Forwarded-Proto — otherwise the cookie is written without
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# Secure and browsers refuse to send it back over HTTPS.
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COOKIE_FORCE_SECURE=false
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# Service label surfaced in lifespan / health checks.
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SERVICE_NAME=service
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# ============================================================================
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# CRITICAL: must set BEFORE first run. The initial admin user is seeded by
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# the deployment bootstrap. Never keep the development default in production.
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# ============================================================================
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INITIAL_ADMIN_PASSWORD=admin12345
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# Backend loguru stderr sink level. One of DEBUG / INFO / WARNING / ERROR
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# / CRITICAL. Anything else (e.g. lowercase) falls back to INFO inside
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# configure_logging(). Change to DEBUG to see request bodies in
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# runtime_client._jupyter_request.
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LOG_LEVEL=INFO
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# Audit log (backend HTTP interface compliance log). One line per HTTP
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# request, written to data/logs/audit/audit-YYYY-MM-DD.log (one file per
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# day). AUDIT_LOG_DIR is relative to the backend process cwd (/app in the
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# container). AUDIT_LOG_RETENTION_DAYS=0 disables cleanup of old files.
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AUDIT_LOG_DIR=
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AUDIT_LOG_RETENTION_DAYS=30
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# Exact paths excluded from the audit line (health/root probes carry no
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# business value but fire every second from K8s/LB). The default already
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# covers /health/live /health/ready /api/v1/health / /health/storage;
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# leave empty to keep the default. Comma-separated, e.g. /health/live,/api/v1/health.
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AUDIT_EXCLUDED_PATHS=
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# Object storage. Two modes are supported:
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# STORAGE_BACKEND=s3 — connects to an S3-compatible service (MinIO,
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# RustFS, SeaweedFS, AWS S3, …). Requires the
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# S3_* block below.
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# STORAGE_BACKEND=local — stores objects on the local filesystem under
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# LOCAL_STORAGE_BASE_DIR. Backend and runtime
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# share this directory via a Docker volume
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# (docker-compose.yml mounts `local-storage`).
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# Useful for dev, single-node, air-gapped.
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STORAGE_BACKEND=s3
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LOCAL_STORAGE_BASE_DIR=/data
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# Object storage (S3-compatible). Only used when STORAGE_BACKEND=s3.
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# S3_ENDPOINT is the single upstream URL consumed by all 4 services:
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# - nginx (via scripts/nginx-entrypoint.sh, which parses host + port)
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# - backend / runtime / schedule (passed through to boto3 / rclone)
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# S3_ACCESS_KEY / S3_SECRET_KEY are read by Python code in
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# backend/ and schedule/ (boto3 credentials).
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#
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# S3 buckets are purpose-named:
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# S3_WORKSPACE_BUCKET — workspace files (notebooks, scripts, working
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# copies); layout is ``s3://<bucket>/<workspace_id>/...``.
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# S3_VERSION_BUCKET — immutable script-version artifacts.
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# S3_RUN_LOG_BUCKET — schedule run logs and execution results.
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# S3_TRASH_BUCKET — soft-deleted objects; source bucket key is preserved
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# as a prefix so restore is a same-key move.
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S3_HOST=127.0.0.1
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S3_PORT=9000
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S3_ENDPOINT=http://127.0.0.1:9000
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S3_ACCESS_KEY=change-me
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S3_SECRET_KEY=change-me
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S3_WORKSPACE_BUCKET=workspace
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S3_VERSION_BUCKET=version
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S3_RUN_LOG_BUCKET=run-log
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S3_TRASH_BUCKET=trash
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S3_TRASH_RETENTION_DAYS=30
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# rclone RC (HTTP control API). The runtime container starts rclone with
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# `--rc --rc-addr 0.0.0.0:5572 --rc-no-auth` (see runtime/src/runtime/mount.py),
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# so the backend can POST /vfs/refresh here to invalidate the FUSE dir-cache
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# after writing new workspace files. Default points at the runtime service
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# over the compose network.
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RCLONE_RC_URL=http://runtime:5572
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# Backend → Runtime HTTP endpoint (Jupyter contents API, file ops).
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RUNTIME_API_URL=http://runtime:8000
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# Public base URL for the runtime container (surfaced to clients for
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# Jupyter access tickets / embedded URLs).
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PUBLIC_BASE_URL=http://runtime
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# ============================================================================
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# Service-to-service auth (P0-1 fix).
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# Backend's /internal/v1/* storage control plane requires this shared secret.
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# The schedule worker reads the same value and sends it as the
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# ``X-Internal-Service-Token`` header. Value MUST match between backend and
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# schedule. Generate a random 64-char string for any non-dev deployment:
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# python -c "import secrets; print(secrets.token_urlsafe(48))"
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# ============================================================================
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INTERNAL_SERVICE_TOKEN=change-me-internal-service-token
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# Schedule → Backend HTTP base URL (cron post-back / status callbacks).
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BACKEND_API_URL=http://backend:8000
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# Max concurrent notebooks running in the schedule worker. Each notebook is
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# dispatched as an asyncio task bounded by a semaphore; the polling loop is
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# never blocked.
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SCHEDULE_EXECUTION_CONCURRENCY=4
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# Readiness probe targets. Comma-separated host:port list checked by
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# /health/ready; empty disables the check. e.g. mysql:3306,s3:9000
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READINESS_TARGETS=
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