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46 lines
1.6 KiB
Bash
46 lines
1.6 KiB
Bash
#!/bin/bash
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cd "$(dirname "$0")" || exit
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# Create the required directories on the host machine if they don't exist
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[ ! -d "./application/indexes" ] && mkdir -p ./application/indexes
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[ ! -d "./application/inputs" ] && mkdir -p ./application/inputs
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[ ! -d "./application/vectors" ] && mkdir -p ./application/vectors
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# Build frontend and backend images
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docker build -t frontend_image ./frontend
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docker build -t backend_image ./application
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# Run redis and mongo services
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docker run -d --name redis -p 6379:6379 redis:6-alpine
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docker run -d --name mongo -p 27017:27017 -v mongodb_data_container:/data/db mongo:6
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# Run backend and worker services
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docker run -d --name backend -p 7091:7091 \
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--link redis:redis --link mongo:mongo \
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-v $(pwd)/application/indexes:/app/indexes \
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-v $(pwd)/application/inputs:/app/inputs \
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-v $(pwd)/application/vectors:/app/vectors \
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-e API_KEY=$OPENAI_API_KEY \
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-e EMBEDDINGS_KEY=$OPENAI_API_KEY \
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-e CELERY_BROKER_URL=redis://redis:6379/0 \
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-e CELERY_RESULT_BACKEND=redis://redis:6379/1 \
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-e MONGO_URI=mongodb://mongo:27017/docsgpt \
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backend_image
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docker run -d --name worker \
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--link redis:redis --link mongo:mongo \
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-e API_KEY=$OPENAI_API_KEY \
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-e EMBEDDINGS_KEY=$OPENAI_API_KEY \
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-e CELERY_BROKER_URL=redis://redis:6379/0 \
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-e CELERY_RESULT_BACKEND=redis://redis:6379/1 \
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-e MONGO_URI=mongodb://mongo:27017/docsgpt \
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-e API_URL=http://backend:7091 \
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backend_image \
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celery -A app.celery worker -l INFO
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# Run frontend service
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docker run -d --name frontend -p 5173:5173 \
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-e VITE_API_HOST=http://localhost:7091 \
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frontend_image
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