John Colvin
3d2043f926
No point in using a virtual environment. These containers have one purpose: run sparkd with a constant, predetermined set of py plugins.
107 lines
3.4 KiB
YAML
107 lines
3.4 KiB
YAML
services:
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sparkd:
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volumes:
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- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/sparkdata/data
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build:
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dockerfile: src/app_sparkd/Dockerfile
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args:
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- IMAGE=${SPARKD__IMAGE}
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- SOURCE_DIR=${SPARKD__SOURCE_DIR}
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- CONFIG_DIR=${SPARKD__CONFIG_DIR}
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- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
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shm_size: "${SPARKD__SHM_SIZE:-512mb}"
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command: >
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sh -c "
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echo bts | sudo -S chown -R bts:bts /home/bts/sparkdata/data
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if [ -e "/home/bts/sparkdata/data/logging.sparkd/log" ]; then
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mv "/home/bts/sparkdata/data/logging.sparkd/log" "/home/bts/sparkdata/data/logging.sparkd/log_$(date '+%Y%m%d-%H%M')"
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fi
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if [ -e "/home/bts/sparkdata/conf/.env.local" ]; then
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echo 'Sourcing /home/bts/sparkdata/conf/.env.local'
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set -a
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. /home/bts/sparkdata/conf/.env.local
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set +a
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fi
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./sparkd run"
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env_file:
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- .env
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- ${SPARKD__CONFIG_DIR}/.env
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ports:
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- "${SPARKD__CONFIG_PORT}:${SPARKD__CONFIG_PORT}"
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- "${SPARKD__QUICKBUS_PORT}:${SPARKD__QUICKBUS_PORT}"
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- "${SPARKD__SIM_FIX_PORT}:${SPARKD__SIM_FIX_PORT}"
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deploy:
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resources:
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limits:
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memory: "${SPARKD__MEMORY:-4gb}"
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sparkd-symbols:
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volumes:
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- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/sparkdata/data
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- ${SPARKD__RUNTIME_CONF_DIR:-sparkd_conf}:/home/bts/sparkdata/conf
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build:
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dockerfile: src/app_sparkd/Dockerfile
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args:
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- IMAGE=${SPARKD__IMAGE}
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- SOURCE_DIR=${SPARKD__SOURCE_DIR}
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- CONFIG_DIR=${SPARKD__CONFIG_DIR}
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- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
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shm_size: "${SPARKD__SHM_SIZE:-512mb}"
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command: >
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sh -c "
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echo bts | sudo -S chown -R bts:bts /home/bts/sparkdata
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if [ -e "/home/bts/sparkdata/data/logging.sparkd/log" ]; then
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mv "/home/bts/sparkdata/data/logging.sparkd/log" "/home/bts/sparkdata/data/logging.sparkd/log_$(date '+%Y%m%d-%H%M')"
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fi
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ls -alh /home/bts/sparkdata/conf/
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cat /home/bts/sparkdata/conf/.env.local
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if [ -e "/home/bts/sparkdata/conf/.env.local" ]; then
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echo 'Sourcing /home/bts/sparkdata/conf/.env.local'
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set -a
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. /home/bts/sparkdata/conf/.env.local
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set +a
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fi
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./sparkd run"
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env_file:
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- .env
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- ${SPARKD__CONFIG_DIR}/.env
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ports:
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- "${SPARKD__CONFIG_PORT}:${SPARKD__CONFIG_PORT}"
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- "${SPARKD__QUICKBUS_PORT}:${SPARKD__QUICKBUS_PORT}"
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- "${SPARKD__SIM_FIX_PORT}:${SPARKD__SIM_FIX_PORT}"
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deploy:
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restart_policy:
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condition: any
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delay: 3s
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resources:
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limits:
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memory: "${SPARKD__MEMORY:-4gb}"
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sparkd-tail:
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image: bluetradingsystems/linux_dotnet7
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volumes:
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- type: volume
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read_only: true
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source: sparkd_data
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target: /home/bts/sparkdata/data/logging.sparkd
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volume:
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subpath: logging.sparkd
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command: ["tail", "-f", "/home/bts/sparkdata/data/logging.sparkd/log"]
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sparkd-ping-test:
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depends_on:
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- sparkd
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profiles:
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- ping-test
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build:
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context: .
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dockerfile_inline: |
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FROM bluetradingsystems/linux_dotnet7
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USER "root"
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RUN apt-get update && apt-get -y install iputils-ping
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command: [ "ping", "sparkd" ]
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volumes:
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sparkd_data:
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name: "sparkd_${SPARKD__CONFIG_PORT:-8000}"
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