forked from xiaohei/taiji-AI-PAD
120 lines
2.8 KiB
YAML
120 lines
2.8 KiB
YAML
# Data Ingestion Service Deployment
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: data-ingestion
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namespace: taiji-ai
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labels:
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app: data-ingestion
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: data-ingestion
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template:
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metadata:
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labels:
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app: data-ingestion
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spec:
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containers:
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- name: data-ingestion
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image: taiji.azurecr.io/data-ingestion:latest
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imagePullPolicy: Always
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ports:
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- containerPort: 8000
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name: http
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env:
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# 环境标识
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- name: ENVIRONMENT
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value: "production"
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- name: DATABASE_URL
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valueFrom:
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secretKeyRef:
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name: taiji-secrets
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key: database-url
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- name: ASYNC_DATABASE_URL
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valueFrom:
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secretKeyRef:
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name: taiji-secrets
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key: async-database-url
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- name: REDIS_URL
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valueFrom:
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secretKeyRef:
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name: taiji-secrets
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key: redis-url
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- name: NATS_URL
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valueFrom:
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configMapKeyRef:
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name: taiji-config
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key: NATS_URL
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- name: RAPIDAPI_KEY
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valueFrom:
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secretKeyRef:
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name: taiji-secrets
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key: rapidapi-key
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- name: RAPIDAPI_HOST
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valueFrom:
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configMapKeyRef:
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name: taiji-config
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key: RAPIDAPI_HOST
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- name: OPENROUTER_API_KEY
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valueFrom:
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secretKeyRef:
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name: taiji-secrets
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key: openrouter-api-key
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- name: OPENROUTER_BASE_URL
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valueFrom:
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configMapKeyRef:
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name: taiji-config
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key: OPENROUTER_BASE_URL
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- name: APP_ENV
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valueFrom:
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configMapKeyRef:
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name: taiji-config
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key: APP_ENV
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- name: LOG_LEVEL
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valueFrom:
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configMapKeyRef:
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name: taiji-config
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key: LOG_LEVEL
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resources:
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requests:
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memory: "256Mi"
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cpu: "200m"
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limits:
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memory: "1Gi"
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cpu: "1000m"
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livenessProbe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 60
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periodSeconds: 30
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timeoutSeconds: 10
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failureThreshold: 5
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readinessProbe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 30
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periodSeconds: 10
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timeoutSeconds: 10
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failureThreshold: 5
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# ACR 镜像拉取凭据
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imagePullSecrets:
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- name: acr-secret
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: data-ingestion
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namespace: taiji-ai
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spec:
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selector:
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app: data-ingestion
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ports:
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- name: http
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port: 8000
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targetPort: 8000
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