oval
33997778f6
- Add .gitignore excluding .env, __pycache__, test_files (copyrighted PDFs), session logs, marker/ submodule, and other generated/private files - Add .env with local config (gitignored); expand .env.example with all supported environment variables - docker-compose.yml: all hardcoded values now use default pattern - Containerfile: install marker-pdf from GitHub instead of local submodule; fix AMD_COMPUTE default to false; sanitize default OLLAMA_HOST - Remove marker/ submodule from git tracking (keep local checkout via .gitignore) - Remove session transcript and copyrighted ENISA PDFs from git tracking - Sanitize local IPs in README, kubernetes deployment, deploy-podman.sh - Fix hardcoded paths in convert_both.py and compare_conversions.py - Update requirements.txt to reference GitHub instead of local --editable
164 lines
4.0 KiB
YAML
164 lines
4.0 KiB
YAML
# ==================================================
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# kubernetes/deployment.yaml -- marker-api (Kubernetes)
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# ==================================================
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: marker-api-config
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data:
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OLLAMA_HOST: "http://ollama-service:11434" # adjust to your Ollama endpoint
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DEESEEK_OCR_MODEL: "deepseek-ocr"
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AMD_COMPUTE: "false"
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TORCH_DEVICE: ""
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MODEL_DTYPE: "float32"
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PORT: "8000"
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HOST: "0.0.0.0"
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GUNICORN_WORKERS: "2"
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GUNICORN_THREADS: "4"
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GUNICORN_TIMEOUT: "300"
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FLASK_DEBUG: "0"
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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: marker-api
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labels:
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app: marker-api
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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: marker-api
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template:
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metadata:
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labels:
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app: marker-api
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spec:
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containers:
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- name: marker-api
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image: marker-api:latest # build/push your own image
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imagePullPolicy: IfNotPresent
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ports:
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- containerPort: 8000
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name: http
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protocol: TCP
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envFrom:
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- configMapRef:
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name: marker-api-config
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resources:
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requests:
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cpu: "2"
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memory: "4Gi"
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# Set to marker.nvidia.com/gpu or amd.com/gpu if using GPU plugin
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nvidia.com/gpu: "0" # remove if using AMD/ROCm via volume mounts
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volumeMounts:
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- name: conversion-results
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mountPath: /app/conversion_results
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- name: uploads
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mountPath: /app/uploads
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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: 120
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periodSeconds: 30
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timeoutSeconds: 5
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failureThreshold: 3
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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: 60
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periodSeconds: 10
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timeoutSeconds: 3
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failureThreshold: 3
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volumes:
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- name: conversion-results
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persistentVolumeClaim:
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claimName: marker-api-pvc
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- name: uploads
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emptyDir:
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sizeLimit: 2Gi # adjustable; use PVC for larger data
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: marker-api-pvc
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spec:
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accessModes:
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- ReadWriteMany
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resources:
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requests:
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storage: 10Gi
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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: marker-api
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labels:
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app: marker-api
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spec:
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selector:
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app: marker-api
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ports:
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- port: 8000
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targetPort: 8000
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protocol: TCP
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name: http
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type: ClusterIP
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---
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# For node-local AMD GPU support in K8s, bind /dev/kfd and /dev/dri:
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# Use a DaemonSet with hostPaths instead, or mount via GPU plugin.
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# Example DaemonSet for AMD GPU nodes:
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apiVersion: apps/v1
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kind: DaemonSet
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metadata:
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name: marker-api-gpu
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labels:
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app: marker-api
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spec:
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selector:
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matchLabels:
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app: marker-api
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template:
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metadata:
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labels:
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app: marker-api
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spec:
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hostNetwork: true
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hostPID: true
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containers:
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- name: marker-api
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image: marker-api:latest
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imagePullPolicy: IfNotPresent
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ports:
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- containerPort: 8000
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hostPort: 8000
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envFrom:
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- configMapRef:
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name: marker-api-config
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resources:
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requests:
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cpu: "2"
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memory: "4Gi"
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limits:
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cpu: "4"
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memory: "8Gi"
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volumeMounts:
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- name: conversion-results
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mountPath: /app/conversion_results
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- name: kfd
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mountPath: /dev/kfd
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- name: dri
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mountPath: /dev/dri
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volumes:
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- name: conversion-results
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persistentVolumeClaim:
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claimName: marker-api-pvc
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- name: kfd
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hostPath:
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path: /dev/kfd
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- name: dri
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hostPath:
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path: /dev/dri
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