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- 建立 Gitea Actions CD pipeline (.gitea/workflows/cd.yaml) - 部署模式: rsync Python 檔案至 188 → docker restart (volume mount) - Dockerfile/requirements 變動時自動重建 Docker image - 部署通知: Telegram (開始/成功/失敗) - 健康檢查: https://mo.wooo.work/health (最多 5 次重試) - 同步最新 CLAUDE.md / ADR-008 / memory (2026-04-19) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
79 lines
2.3 KiB
YAML
79 lines
2.3 KiB
YAML
# =============================================================================
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# WOOO TECH - Momo Pro System
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# GCP Scheduler Deployment
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# 特點: 使用本地映像，不需要 Registry Pull
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# =============================================================================
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: momo-scheduler
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namespace: momo
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labels:
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app: momo-scheduler
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env: production
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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: momo-scheduler
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template:
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metadata:
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labels:
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app: momo-scheduler
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spec:
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containers:
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- name: scheduler
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# 使用本地構建的映像
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image: docker.io/library/momo-pro-system:latest
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# 關鍵: 設為 Never，使用本地映像
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imagePullPolicy: Never
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command: ["python", "run_scheduler.py"]
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envFrom:
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- configMapRef:
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name: momo-config
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env:
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- name: DATABASE_URL
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valueFrom:
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secretKeyRef:
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name: momo-secrets
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key: DATABASE_URL
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- name: POSTGRES_PASSWORD
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valueFrom:
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secretKeyRef:
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name: momo-secrets
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key: POSTGRES_PASSWORD
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- name: TELEGRAM_BOT_TOKEN
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valueFrom:
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secretKeyRef:
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name: momo-secrets
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key: TELEGRAM_BOT_TOKEN
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- name: LINE_CHANNEL_ACCESS_TOKEN
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valueFrom:
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secretKeyRef:
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name: momo-secrets
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key: LINE_CHANNEL_ACCESS_TOKEN
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- name: GEMINI_API_KEY
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valueFrom:
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secretKeyRef:
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name: momo-secrets
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key: GEMINI_API_KEY
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volumeMounts:
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- name: momo-data
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mountPath: /app/data
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- name: momo-logs
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mountPath: /app/logs
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resources:
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requests:
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memory: "256Mi"
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cpu: "100m"
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limits:
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memory: "2Gi"
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cpu: "1000m"
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volumes:
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- name: momo-data
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persistentVolumeClaim:
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claimName: momo-data-pvc
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- name: momo-logs
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emptyDir: {}
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# GCP 使用本地映像，不需要 imagePullSecrets
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