mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-11 12:11:45 +00:00
Alex
574f96341e
The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
150 lines
4.0 KiB
YAML
150 lines
4.0 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: docsgpt-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: docsgpt-api
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template:
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metadata:
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labels:
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app: docsgpt-api
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spec:
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initContainers:
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# Block pod start until Postgres accepts connections. The `postgres-init`
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# Job is responsible for running alembic migrations; this container only
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# waits for the server to be reachable.
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- name: wait-for-postgres
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image: postgres:16-alpine
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command:
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- sh
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- -c
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- |
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until pg_isready -h postgres -p 5432 -U docsgpt -d docsgpt; do
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echo "Waiting for postgres..."; sleep 2;
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done
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containers:
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- name: docsgpt-api
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image: arc53/docsgpt
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ports:
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- containerPort: 7091
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resources:
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limits:
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memory: "4Gi"
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cpu: "2"
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requests:
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memory: "2Gi"
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cpu: "1"
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envFrom:
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- secretRef:
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name: docsgpt-secrets
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env:
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- name: FLASK_APP
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value: "docsgpt/app.py"
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- name: DEPLOYMENT_TYPE
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value: "cloud"
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- name: POSTGRES_URI
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valueFrom:
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secretKeyRef:
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name: docsgpt-secrets
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key: POSTGRES_URI
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# Disable in-app auto-bootstrap. The `postgres-init` Job under
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# deployment/k8s/jobs/ owns schema creation and Alembic migrations,
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# so application pods must not race with it on rollout.
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- name: AUTO_MIGRATE
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value: "false"
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- name: AUTO_CREATE_DB
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value: "false"
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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: docsgpt-worker
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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: docsgpt-worker
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template:
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metadata:
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labels:
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app: docsgpt-worker
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spec:
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initContainers:
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- name: wait-for-postgres
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image: postgres:16-alpine
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command:
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- sh
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- -c
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- |
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until pg_isready -h postgres -p 5432 -U docsgpt -d docsgpt; do
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echo "Waiting for postgres..."; sleep 2;
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done
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containers:
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- name: docsgpt-worker
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image: arc53/docsgpt
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# `parsing` queue carries read_document/parse_document; required for its await to resolve.
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# For heavy/OCR parsing, run a separate deployment with `-Q parsing` (and GPU env).
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command: ["celery", "-A", "docsgpt.app.celery", "worker", "-l", "INFO", "-n", "worker.%h", "-Q", "docsgpt,parsing,embeddings"]
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resources:
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limits:
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memory: "4Gi"
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cpu: "2"
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requests:
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memory: "2Gi"
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cpu: "1"
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envFrom:
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- secretRef:
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name: docsgpt-secrets
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env:
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- name: DEPLOYMENT_TYPE
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value: "cloud"
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- name: API_URL
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value: "http://<your-api-endpoint>"
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- name: POSTGRES_URI
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valueFrom:
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secretKeyRef:
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name: docsgpt-secrets
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key: POSTGRES_URI
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# Disable in-app auto-bootstrap. The `postgres-init` Job under
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# deployment/k8s/jobs/ owns schema creation and Alembic migrations,
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# so application pods must not race with it on rollout.
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- name: AUTO_MIGRATE
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value: "false"
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- name: AUTO_CREATE_DB
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value: "false"
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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: docsgpt-frontend
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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: docsgpt-frontend
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template:
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metadata:
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labels:
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app: docsgpt-frontend
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spec:
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containers:
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- name: docsgpt-frontend
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image: arc53/docsgpt-fe
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ports:
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- containerPort: 5173
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resources:
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limits:
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memory: "1Gi"
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cpu: "1"
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requests:
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memory: "256Mi"
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cpu: "100m"
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env:
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- name: VITE_API_HOST
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value: "http://<your-api-endpoint>"
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- name: VITE_API_STREAMING
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value: "true"
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