76 lines
3.3 KiB
Bash
76 lines
3.3 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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# Demo login is only intended for this self-hosted development UI.
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DEMO_AUTH_ENABLED=true
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JWT_SECRET=change-this-development-secret
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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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# 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=workspaces
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S3_VERSION_BUCKET=versions
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S3_RUN_LOG_BUCKET=run-logs
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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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