55 lines
1.4 KiB
YAML
55 lines
1.4 KiB
YAML
networks:
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spam-detector-internal:
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driver: bridge
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rabbitmq:
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external: true
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services:
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decision-maker:
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build: ./
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container_name: spam-detector-decision-maker
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environment:
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- PORT=${PORT:-8080}
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- TOKEN=token12345
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- RABBITMQ_HOST=${RABBITMQ_HOST}
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- RABBITMQ_PORT=${RABBITMQ_PORT:-5672}
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- RABBITMQ_USER=${RABBITMQ_USER}
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- RABBITMQ_PASS=${RABBITMQ_PASS}
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- RABBITMQ_QUEUE=${RABBITMQ_QUEUE}
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entrypoint: [ "python", "-m", "src.app", "-m" ]
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volumes:
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- type: bind
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source: $DATASET
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target: /app/dataset.csv
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- ${MODELS_DIR}:/app/models
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restart: always
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ports:
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- "8080:${PORT:-8080}"
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networks:
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- spam-detector-internal
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- rabbitmq
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model-updater:
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build: ./
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container_name: spam-detector-model-updater
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environment:
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- WEB_API_URL=http://spam-detector-decision-maker:${PORT:-8080}
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- TOKEN=token12345
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- RABBITMQ_HOST=${RABBITMQ_HOST}
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- RABBITMQ_PORT=${RABBITMQ_PORT:-5672}
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- RABBITMQ_USER=${RABBITMQ_USER}
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- RABBITMQ_PASS=${RABBITMQ_PASS}
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- RABBITMQ_QUEUE=${RABBITMQ_QUEUE}
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entrypoint: [ "python", "-m", "src.app", "-u", "-d", "/app/dataset.csv" ]
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# entrypoint: [ "bash", "-c", "while true; do sleep 1; done" ]
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volumes:
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- type: bind
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source: $DATASET
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target: /app/dataset.csv
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- ${MODELS_DIR}:/app/models/
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networks:
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- spam-detector-internal
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- rabbitmq
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