docker compose setup (#162)
Co-authored-by: Kerem Yilmaz <kerem@skyvern.com>
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64
docker-compose.yml
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64
docker-compose.yml
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version: '3.8'
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services:
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postgres:
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image: postgres:14-alpine
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# comment out if you want to externally connect DB
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# ports:
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# - 5432:5432
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volumes:
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- ./postgres-data:/var/lib/postgresql/data
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environment:
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- PGDATA=/var/lib/postgresql/data/pgdata
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- POSTGRES_USER=skyvern
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- POSTGRES_PASSWORD=skyvern
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- POSTGRES_POSTGRES_DB=skyvern
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U skyvern"]
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interval: 5s
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timeout: 5s
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retries: 5
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skyvern:
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image: public.ecr.aws/t6d4b5t4/skyvern:latest
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restart: on-failure
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# comment out if you want to externally call skyvern API
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# ports:
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# - 8000:8000
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volumes:
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- ./artifacts:/data/artifacts
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- ./videos:/data/videos
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- ./har:/data/har
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- ./.streamlit:/app/.streamlit
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environment:
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- DATABASE_STRING=postgresql+psycopg://skyvern:skyvern@postgres:5432/skyvern
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- BROWSER_TYPE=chromium-headful
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- ENABLE_OPENAI=true
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- OPENAI_API_KEY=<your_openai_key>
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# If you want to use other LLM provider, like azure and anthropic:
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# - ENABLE_ANTHROPIC=true
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# - ANTHROPIC_API_KEY=<your_anthropic_key>
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# - ENABLE_AZURE=true
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# - LLM_KEY=AZURE_OPENAI_GPT4V
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# - AZURE_DEPLOYMENT=<your_azure_deployment>
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# - AZURE_API_KEY=<your_azure_api_key>
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# - AZURE_API_BASE=<your_azure_api_base>
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# - AZURE_API_VERSION=<your_azure_api_version>
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depends_on:
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postgres:
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condition: service_healthy
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streamlit:
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image: public.ecr.aws/t6d4b5t4/skyvern:latest
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restart: on-failure
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ports:
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- 8501:8501
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volumes:
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- ./artifacts:/data/artifacts
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- ./videos:/data/videos
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- ./har:/data/har
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- ./.streamlit:/app/.streamlit
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command: ["/bin/bash", "entrypoint-streamlit.sh"]
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depends_on:
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- skyvern
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