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- Introduced a comprehensive deployment guide for AdvisoryAI, detailing local builds, remote inference toggles, and scaling guidance. - Created a multi-role Dockerfile for building WebService and Worker images. - Added a docker-compose file for local and offline deployment. - Implemented a Helm chart for Kubernetes deployment with persistence and remote inference options. - Established a new API endpoint `/advisories/summary` for deterministic summaries of observations and linksets. - Introduced a JSON schema for risk profiles and a validator to ensure compliance with the schema. - Added unit tests for the risk profile validator to ensure functionality and error handling.
39 lines
614 B
YAML
39 lines
614 B
YAML
image:
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repository: stellaops/advisoryai
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tag: dev
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pullPolicy: IfNotPresent
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service:
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port: 8080
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type: ClusterIP
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inference:
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mode: Local # or Remote
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remote:
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baseAddress: ""
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endpoint: "/v1/inference"
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apiKey: ""
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timeoutSeconds: 30
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storage:
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planCachePath: /app/data/plans
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outputPath: /app/data/outputs
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queuePath: /app/data/queue
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persistence:
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enabled: false
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existingClaim: ""
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size: 5Gi
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resources: {}
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nodeSelector: {}
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tolerations: []
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affinity: {}
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worker:
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enabled: true
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replicas: 1
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resources: {}
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extraEnv: [] # list of { name: ..., value: ... }
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extraEnvFrom: []
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