mirror of
https://github.com/agresdominik/predictify.git
synced 2026-04-21 09:51:56 +00:00
Chris Kiriakou
aeb7c49068
* Add volume mounts to Dockerfile to enable persisten storing of database and tokens when using docker * Makefile helps with cleanup and building the Dockerfile * Startup fires the predictify runtime inside the container * `.dockerignore` contains files that are not needed by the docker, e.g. files that would otherwise slow build process down
36 lines
929 B
Docker
36 lines
929 B
Docker
FROM alpine:3.21.3
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# Set environment variables
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ARG PROJ_NAME
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ENV PROJ_NAME=${PROJ_NAME}
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RUN mkdir -p /app/${PROJ_NAME}
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# The following steps are executed from the specified directory below
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WORKDIR /app/${PROJ_NAME}
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# Install all necessary software
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RUN apk add --no-cache python3 sqlite
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# Create the directories, needed for persistent storage (e.g. database, tokens)
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RUN mkdir ./data ./src ./config
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# Create mount points for logs, data, src and config
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VOLUME /var/log ./data ./src ./config
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# Copy the application source code
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COPY ./src/ ./src/
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# Create a seperate venv inside the container & install requirements
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COPY ./requirements.txt ./requirements.txt
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RUN \
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python -m venv .venv && \
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source .venv/bin/activate && \
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./.venv/bin/pip install -r ./requirements.txt && \
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deactivate
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COPY ./docker/startup.sh ./startup.sh
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# When starting the contianer the following is executed
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ENTRYPOINT ["./startup.sh"]
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