8d78dd219b
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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.
18 lines
536 B
YAML
18 lines
536 B
YAML
apiVersion: v1
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kind: Service
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metadata:
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name: {{ include "stellaops-advisoryai.fullname" . }}
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labels:
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app.kubernetes.io/name: {{ include "stellaops-advisoryai.name" . }}
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app.kubernetes.io/instance: {{ .Release.Name }}
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spec:
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type: {{ .Values.service.type }}
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selector:
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app.kubernetes.io/name: {{ include "stellaops-advisoryai.name" . }}
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app.kubernetes.io/instance: {{ .Release.Name }}
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ports:
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- name: http
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port: {{ .Values.service.port }}
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targetPort: {{ .Values.service.port }}
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protocol: TCP
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