0f4631de78
- Mount training-data-pvc at /data/training in build pods via runner config - Update real_data_loader to search per-symbol subdirectories (Databento layout) - Support .dbn.zst (zstd-compressed) files alongside raw .dbn - Add FOXHUNT_DATA_DIR env var override for CI PVC path - Extract decode_ohlcv_bars helper (generic over reader type) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
75 lines
2.5 KiB
YAML
75 lines
2.5 KiB
YAML
# GitLab Runner — Kubernetes executor targeting gpu-training pool
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# Runner manager pod lives on gitlab node pool
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# Build pods spawn on gpu-training pool (H100, scale-to-zero — fast builds + GPU tests)
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gitlabUrl: http://gitlab-webservice-default.foxhunt.svc.cluster.local:8181
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# runnerToken set via --set at install time
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replicas: 1
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nodeSelector:
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k8s.scaleway.com/pool-name: gitlab
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tolerations:
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- key: gitlab
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operator: Equal
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value: "true"
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effect: NoSchedule
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runners:
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# Override clone URL to internal service (pods can't reach Tailscale IPs)
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cloneUrl: http://gitlab-webservice-default.foxhunt.svc.cluster.local:8181
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config: |
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[[runners]]
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clone_url = "http://gitlab-webservice-default.foxhunt.svc.cluster.local:8181"
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[runners.kubernetes]
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namespace = "foxhunt"
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image = "rust:1.89-slim"
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privileged = false
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# H100 scale-to-zero needs ~3-5 min to provision; default 180s times out
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poll_timeout = 600
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# Resource limits for build pods (H100 node: 24 vCPU, 240GB)
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cpu_request = "4000m"
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cpu_limit = "16000m"
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memory_request = "16Gi"
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memory_limit = "64Gi"
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helper_cpu_request = "100m"
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helper_cpu_limit = "500m"
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helper_memory_request = "128Mi"
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helper_memory_limit = "512Mi"
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image_pull_secrets = ["scw-registry", "gitlab-registry"]
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# Use nvidia RuntimeClass — injects GPU drivers + /dev/nvidia* via nvidia-container-runtime
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runtime_class_name = "nvidia"
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# Sub-tables must come AFTER all scalar values (TOML rule)
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[runners.kubernetes.node_selector]
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"k8s.scaleway.com/pool-name" = "gpu-training"
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[runners.kubernetes.node_tolerations]
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"nvidia.com/gpu" = "NoSchedule"
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[runners.kubernetes.pod_labels]
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"app.kubernetes.io/part-of" = "foxhunt-ci"
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# Mount training data PVC (Databento futures .dbn.zst files)
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[[runners.kubernetes.volumes.pvc]]
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name = "training-data-pvc"
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mount_path = "/data/training"
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read_only = true
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# Runner tags for job matching
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tags: "kapsule,rust,docker,gpu"
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# Concurrency
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concurrent: 4
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# RBAC for runner to spawn pods
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rbac:
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create: true
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rules:
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- apiGroups: [""]
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resources: ["pods", "pods/exec", "pods/log", "secrets", "configmaps"]
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verbs: ["get", "list", "watch", "create", "delete", "update", "patch"]
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- apiGroups: [""]
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resources: ["pods/attach"]
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verbs: ["create", "get"]
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serviceAccount:
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create: true
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name: gitlab-runner
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